[R] Make a table

2004-12-22 Thread Muhammad Subianto
Dear useR,
I have a dataset like this below,
> prevRND.dat   <- read.table("C:\\workdir\\prevRND.txt",
+   header=FALSE,  # No header.
+   col.names = c("X","Y","Z"),
+   sep = ",")
> prevRND.dat
  X YZ
1 A A 0.950933
2 A B 0.143600
3 A C 0.956133
4 B A 0.000533
5 B B 0.986467
6 B C 0.032066
7 C A 0.005333
8 C B 0.00
9 C C 0.009266
How can I make that data above as table,
Y
XA  B C
A  0.950933 0.143600 0.956133
B  0.000533 0.986467 0.032066
C  0.005333 0.00 0.009266
I cannot use table() or ftable() functions because the 3rd column (Z) is 
probability. Are there any function to make a table as I want?

Kind regards,
Muhammad Subianto
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Re: [R] Make a table

2004-12-22 Thread Muhammad Subianto
Thanks to all of you.
That's what I want.
Best wishes,
Muhammad Subianto
Try
tapply(prevRND.dat$Z, list(X=prevRND.dat$X, Y=prevRND.dat$Y), mean)
__
Andy Jaworskitry:
try:
tapply( Z, list( X, Y ), mean )
--
Bendix Carstensen
How about:

xtabs(Z ~ X + Y, data = prevRND.dat)
 

  Y
X   ABC   
 A 0.950933 0.143600 0.956133
 B 0.000533 0.986467 0.032066
 C 0.005333 0.00 0.009266

HTH,
Marc Schwartz
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[R] How to show which variables include in plot of classification tree

2005-03-18 Thread Muhammad Subianto
Dear all
For my research, I am learning classification now.
I was trying some example about classification tree pakages, such as 
tree and rpart, for instance,
in Pima.te dataset have 8 variables (include class=type):

library(rpart)
library(datasets)
pima.rpart <- rpart(type ~ npreg+glu+bp+skin+bmi+ped+age,data=Pima.te, 
method='class')
plot(pima.rpart, uniform=TRUE)
text(pima.rpart)
summary(pima.rpart)

In the result I found only 5 variables: npreg, glu,  bmi, ped, and age 
were showing in the plot.
Now, I have 50 variables in my dataset. The result my classification 
tree very difficult to know which
variables showing in the plot. Are there any trick which variables are 
showing in plot.

Thanks for your help.
Muhammad Subianto
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[R] Remove comma (,) in data set

2003-09-30 Thread Muhammad Subianto
Dear R-helper,
I am new learning R. Now, I have a data set like:
24,2,3,3,1,1,2,3,0,1
45,1,3,10,1,1,3,4,0,1
43,2,3,7,1,1,3,4,0,1
42,3,2,9,1,1,3,3,0,1
36,3,3,8,1,1,3,2,0,1
19,4,4,0,1,1,3,3,0,1
38,2,3,6,1,1,3,2,0,1
21,3,3,1,1,0,3,2,0,1
27,2,3,3,1,1,3,4,0,1
45,1,1,8,1,1,2,2,1,1
... with 3730 rows
I want to remove comma (,) in data set. The result like:

24 2 3  3 1 1 2 3 0 1
45 1 3 10 1 1 3 4 0 1
43 2 3  7 1 1 3 4 0 1
42 3 2  9 1 1 3 3 0 1
36 3 3  8 1 1 3 2 0 1
19 4 4  0 1 1 3 3 0 1
38 2 3  6 1 1 3 2 0 1
21 3 3  1 1 0 3 2 0 1
27 2 3  3 1 1 3 4 0 1
45 1 1  8 1 1 2 2 1 1
...
How can I do it. Thanks you for your help.

Best regards,

Muhammad Subianto

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Re: [R] R packages install problems linux - X not found (WhiteBoxEL 3)

2004-08-09 Thread Muhammad Subianto
Maybe you can try with the other RHEL clone like CentOS-3:
http://install.linux.duke.edu/pub/linux/add-on/distrib/centos-3.1/i386/rpms/R-1.9.0-0.duke.1.el3.i386.rpm
http://install.linux.duke.edu/pub/linux/add-on/distrib/centos-3.1/i386/srpms/R-1.9.0-0.duke.1.el3.src.rpm
Best wishes,
Muhammad Subianto
On this day 09/08/2004 04:12 PM, Marc Schwartz wrote:
On Mon, 2004-08-09 at 08:13, Dr Mike Waters wrote:

Marc,
Sorry for the confusion yesterday - in my defence, it was very hot and humid
here in Hampshire (31 Celsius at 15:00hrs and still 25 at 20:00hrs). 

What had happened was that I had done a clean install of WB Linux, including
the XFree86 and other developer packages. However, the on-line updating
system updated the XFree86 packages to a newer sub version. It seems that it
didn't do this correctly for the XFree86 developer package, which was
missing vital files. However it showed up in the rpm database as being
installed (i.e. rpm -qa | grep XFree showed it thus). I downloaded another
rpm for this manually and I only forced the upgrade because it was the same
version as already 'installed' (as far as the rpm database was concerned). I
assumed that all dependencies were sorted out through the install in the
first place.

OK, that helps. I still have a lingering concern that, given the facts
above, there may be other integrity issues in the RPM database, if not
elsewhere.
From reading the WB web site FAQ's
(http://www.whiteboxlinux.org/faq.html) , it appears that they are using
up2date/yum for system updates. Depending upon the version in use, there
have been issues especially with up2date (hangs, incomplete updates,
etc.) which could result in other problems. I use yum via the console
here (under FC2), though I note that a GUI version of yum has been
created, including replacing the RHN/up2date system tray alert icon.
A thought relative to this specifically:
If there is or may be an integrity problem related to the rpm database,
you should review the information here:
http://www.rpm.org/hintskinks/repairdb/
which provides instructions on repairing the database. Note the
important caveats regarding backups, etc.
The two key steps there are to remove any residual lock files using (as
root):
rm -f /var/lib/rpm/__*
and then rebuilding the rpm database using (also as root):
rpm -vv --rebuilddb
I think that there needs to be some level of comfort that this basic
foundation for the system is intact and correct.

I only mentioned RH9 to show that I had some familiarity with the RedHat
policy of separating out the 'includes' etc into a separate developer
package.
Once all this had been sorted out, I was then left with a compilation error
which pointed to a missing dependency or similar, which was not due to
missing developer packages, but, as you and Prof Ripley correctly point out,
from the R installation itself. Having grown fat and lazy on using R under
the MS Windows environment, I was struggling to identify the precise nature
of this remaining problem.
As regards the R installation, I did this from the RH9 binary for version
1.9.1, as I did not think that the Fedora Core 2 binary would be appropriate
here. Perhaps I should now compile from the source instead?

I would not use the FC2 RPM, since FC2 has many underlying changes not
the least of which includes the use of the 2.6 kernel series and the
change from XFree86 to x.org. Both changes resulted in significant havoc
during the FC2 testing phases and there was at least one issue here with
R due to the change in X.
According to the WB FAQs:
"If you cannot find a package built specifically for RHEL3 or WBEL3 you
can try a package for RH9 since many of the packages in RHEL3 are the
exact same packages as appeared in RH9."
Thus, it would seem reasonable to use the RH9 RPM that Martyn has
created. An alternative would certainly be to compile R from the source
tarball.
In either case, I would remove the current installation of R and after
achieving a level of comfort that your RPM database is OK, reinstall R
using one of the above methods. Pay close attention to any output during
the installation process, noting any error or warning messages that may
occur.
If you go the RPM route, be sure that the MD5SUM of the RPM file matches
the value that Martyn has listed on CRAN to ensure that the file has
been downloaded in an intact fashion.
These are my thoughts at this point. You need to get to a point where
the underlying system is stable and intact, then get R to the same state
before attempting to install new packages.
HTH,
Marc
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[R] Take a levels

2005-04-27 Thread Muhammad Subianto
Dear all,
How can I take a levels from a dataset.
For example,

data(iris)
x.iris <- iris[,1:4]
y.iris <- iris[,5]
> y.iris
  [1] setosa setosa setosa setosa setosa setosa   
  [7] setosa setosa setosa setosa setosa setosa   

[139] virginica  virginica  virginica  virginica  virginica  virginica
[145] virginica  virginica  virginica  virginica  virginica  virginica
Levels: setosa versicolor virginica
 
I want like,
y.iris level are,
[] setosa versicolor virginica

Best regards,
Muhammad Subianto

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Re: [R] Take a levels

2005-04-27 Thread Muhammad Subianto
Thanks you very much.
> 
> levels(y.iris)
>

Best regards,
Muhammad Subianto

[[alternative HTML version deleted]]

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[R] How to add some of data in the first place dataset

2005-04-27 Thread Muhammad Subianto
Dear R-help,
 First I apologize if my question is quite simple.
 I need add some of data in the first place my dataset, how can I do that.
 I have tried with rbind, but I did not succes.
   0.1 3.6  0.4 0.9  rose
   4.1 4.0  1.2 1.2  rose
   4.4 3.2  1.9 0.5  rose
   4.6 1.1  1.1 0.2  rose
 For example,
 > data(iris)
 > iris[1:10,]
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
 1   5.1 3.5  1.4 0.2  setosa
 2   4.9 3.0  1.4 0.2  setosa
 3   4.7 3.2  1.3 0.2  setosa
 4   4.6 3.1  1.5 0.2  setosa
 5   5.0 3.6  1.4 0.2  setosa
 6   5.4 3.9  1.7 0.4  setosa
 7   4.6 3.4  1.4 0.3  setosa
 8   5.0 3.4  1.5 0.2  setosa
 9   4.4 2.9  1.4 0.2  setosa
 10  4.9 3.1  1.5 0.1  setosa
 > 
 The result something like this,
 
   0.1 3.6  0.4 0.9  rose
   4.1 4.0  1.2 1.2  rose
   4.4 3.2  1.9 0.5  rose
   4.6 1.1  1.1 0.2  rose
   5.1 3.5  1.4 0.2  setosa
   4.9 3.0  1.4 0.2  setosa
   4.7 3.2  1.3 0.2  setosa
   4.6 3.1  1.5 0.2  setosa
   5.0 3.6  1.4 0.2  setosa
   5.4 3.9  1.7 0.4  setosa
   4.6 3.4  1.4 0.3  setosa
   5.0 3.4  1.5 0.2  setosa
   4.4 2.9  1.4 0.2  setosa
   4.9 3.1  1.5 0.1  setosa
 
 Sincerely,
 Muhammad Subianto

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[R] Re: How to add some of data in the first place dataset

2005-04-27 Thread Muhammad Subianto
Thanks all for your help.

Kind regards,
Muhammad Subianto

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[R] How to change variables in datasets automatically

2005-04-29 Thread Muhammad Subianto
Dear R-helpers,
Suppose I have a dataset,
 data(iris)
 a <- data.frame(Sepal.Length=c(1:4), Sepal.Width=c(2:5),
Petal.Length=c(3:6), Petal.Width=c(4:7), Species=rep("rosa",4))
 b <- iris[1:10,]
 newtest.iris <- rbind(a,b)
>  newtest.iris
   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1   1.0 2.0  3.0 4.0rosa
2   2.0 3.0  4.0 5.0rosa
3   3.0 4.0  5.0 6.0rosa
4   4.0 5.0  6.0 7.0rosa
11  5.1 3.5  1.4 0.2  setosa
21  4.9 3.0  1.4 0.2  setosa
31  4.7 3.2  1.3 0.2  setosa
41  4.6 3.1  1.5 0.2  setosa
5   5.0 3.6  1.4 0.2  setosa
6   5.4 3.9  1.7 0.4  setosa
7   4.6 3.4  1.4 0.3  setosa
8   5.0 3.4  1.5 0.2  setosa
9   4.4 2.9  1.4 0.2  setosa
10  4.9 3.1  1.5 0.1  setosa
 
I want to change each labels (variables) like: Sepal.Length=SL, Sepal.Width=SW,
Petal.Length=PL, Petal.Width=PW, and Species=Class. Then I want to
change each cell
in Species variable like rosa=0 and setosa=1. The result something like this,

>  NewIris
SL  SW  PL  PW Class
1  1.0 2.0 3.0 4.0 0
2  2.0 3.0 4.0 5.0 0
3  3.0 4.0 5.0 6.0 0
4  4.0 5.0 6.0 7.0 0
5  5.1 3.5 1.4 0.2 1
6  4.9 3.0 1.4 0.2 1
7  4.7 3.2 1.3 0.2 1
8  4.6 3.1 1.5 0.2 1
9  5.0 3.6 1.4 0.2 1
10 5.4 3.9 1.7 0.4 1
11 4.6 3.4 1.4 0.3 1
12 5.0 3.4 1.5 0.2 1
13 4.4 2.9 1.4 0.2 1
14 4.9 3.1 1.5 0.1 1
> 
I can do it the result above like this,

>  Class <- ifelse(newtest.iris$Species=="rosa", 0, 1) 
>  NewIris <- data.frame(SL = newtest.iris$Sepal.Length,
+SW = newtest.iris$Sepal.Width,
+PL = newtest.iris$Petal.Length,
+PW = newtest.iris$Petal.Width,
+Class)

Because I have more variables in my datasets which I must to change.
Is there any way to change automatically and which library contains a
function to compute that?
I  would be very happy if anyone could help me.
Thank you very much in advance.

Kindly regards, 
Muhammad Subianto

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Re: [R] How to change variables in datasets automatically

2005-04-29 Thread Muhammad Subianto
Excellent, this is exactly what I was looking for.
Many thanks and best regards,
Muhammad Subianto


On 4/29/05, Liaw, Andy <[EMAIL PROTECTED]> wrote:
> Try:
> 
> a <- data.frame(Sepal.Length=1:4, Sepal.Width=2:5,
> Petal.Length=3:6, Petal.Width=4:7,
> Species=rep("rosa",4))
> b <- iris[1:10,]
> newtest.iris <- rbind(a,b)
> names(newtest.iris) <- c("SL", "SW", "PL", "PW", "Class")
> newtest.iris$Class <- as.numeric(newtest.iris$Class) - 1
> 
> HTH,
> Andy
> 
> > From: Muhammad Subianto
> >
> > Dear R-helpers,
> > Suppose I have a dataset,
> >  data(iris)
> >  a <- data.frame(Sepal.Length=c(1:4), Sepal.Width=c(2:5),
> > Petal.Length=c(3:6), Petal.Width=c(4:7), Species=rep("rosa",4))
> >  b <- iris[1:10,]
> >  newtest.iris <- rbind(a,b)
> > >  newtest.iris
> >Sepal.Length Sepal.Width Petal.Length Petal.Width Species
> > 1   1.0 2.0  3.0 4.0rosa
> > 2   2.0 3.0  4.0 5.0rosa
> > 3   3.0 4.0  5.0 6.0rosa
> > 4   4.0 5.0  6.0 7.0rosa
> > 11  5.1 3.5  1.4 0.2  setosa
> > 21  4.9 3.0  1.4 0.2  setosa
> > 31  4.7 3.2  1.3 0.2  setosa
> > 41  4.6 3.1  1.5 0.2  setosa
> > 5   5.0 3.6  1.4 0.2  setosa
> > 6   5.4 3.9  1.7 0.4  setosa
> > 7   4.6 3.4  1.4 0.3  setosa
> > 8   5.0 3.4  1.5 0.2  setosa
> > 9   4.4 2.9  1.4 0.2  setosa
> > 10  4.9 3.1  1.5 0.1  setosa
> >
> > I want to change each labels (variables) like:
> > Sepal.Length=SL, Sepal.Width=SW,
> > Petal.Length=PL, Petal.Width=PW, and Species=Class. Then I want to
> > change each cell
> > in Species variable like rosa=0 and setosa=1. The result
> > something like this,
> >
> > >  NewIris
> > SL  SW  PL  PW Class
> > 1  1.0 2.0 3.0 4.0 0
> > 2  2.0 3.0 4.0 5.0 0
> > 3  3.0 4.0 5.0 6.0 0
> > 4  4.0 5.0 6.0 7.0 0
> > 5  5.1 3.5 1.4 0.2 1
> > 6  4.9 3.0 1.4 0.2 1
> > 7  4.7 3.2 1.3 0.2 1
> > 8  4.6 3.1 1.5 0.2 1
> > 9  5.0 3.6 1.4 0.2 1
> > 10 5.4 3.9 1.7 0.4 1
> > 11 4.6 3.4 1.4 0.3 1
> > 12 5.0 3.4 1.5 0.2 1
> > 13 4.4 2.9 1.4 0.2 1
> > 14 4.9 3.1 1.5 0.1 1
> > >
> > I can do it the result above like this,
> >
> > >  Class <- ifelse(newtest.iris$Species=="rosa", 0, 1)
> > >  NewIris <- data.frame(SL = newtest.iris$Sepal.Length,
> > +    SW = newtest.iris$Sepal.Width,
> > +PL = newtest.iris$Petal.Length,
> > +PW = newtest.iris$Petal.Width,
> > +Class)
> >
> > Because I have more variables in my datasets which I must to change.
> > Is there any way to change automatically and which library contains a
> > function to compute that?
> > I  would be very happy if anyone could help me.
> > Thank you very much in advance.
> >
> > Kindly regards,
> > Muhammad Subianto
> >
> > __
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide!
> > http://www.R-project.org/posting-guide.html
> >
> >
> >
> 
> --
> Notice:  This e-mail message, together with any attachment...{{dropped}}

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[R] Change the result data

2005-05-10 Thread Muhammad Subianto
Dear R-helper,
I have a data like:
hec.data <-array(c(5,15,20,68,29,54,84,119,14,14,17,26,16,10,94,7),
  dim=c(4,4),
  dimnames=list(eye=c("Green","Hazel", "Blue", "Brown"),
  hair=c("Black", "Brown", "Red", "Blond")))
as.data.frame(as.table(hec.data))
> as.data.frame(as.table(hec.data))
eye  hair Freq
1  Green Black5
2  Hazel Black   15
3   Blue Black   20
4  Brown Black   68
5  Green Brown   29
6  Hazel Brown   54
7   Blue Brown   84
8  Brown Brown  119
9  Green   Red   14
10 Hazel   Red   14
11  Blue   Red   17
12 Brown   Red   26
13 Green Blond   16
14 Hazel Blond   10
15  Blue Blond   94
16 Brown Blond7
>
   
I want to extract like,
Green Black
Green Black
Green Black
Green Black
Green Black
Hazel Black
Hazel Black
Hazel Black
Hazel Black
.
.
.
Brown Blond
Brown Blond
Brown Blond
Brown Blond
Brown Blond
Brown Blond
Brown Blond

How can I do it.
Thanks you for your help.
Best regards,
Muhammad Subianto
http://article.gmane.org/gmane.comp.lang.r.general/14604,14610
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[R] How to make label in multi plot

2005-05-12 Thread Muhammad Subianto
Dear R-Help,
As a reference about multi plot,
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48725.html

I want to know how can I make a label for each row.
I mean like,

  -  --
 ||   ||  ||
Group A |   plot1  |   |  plot 2  |  |  plot 3  |   
 ||   ||  ||
 --  --

  -
  ||
Group B  |  plot 4  |
  ||
  -

I  would be very happy if anyone could help me.
Thank you very much in advance.
Sincerely,
Muhammad Subianto

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[R] How to convert color to black & white

2005-05-13 Thread Muhammad Subianto
Dear all,
Could someone please explain to me how to convert color to black & white.
For example:
barplot(1:5,col = rainbow(5))
Because I need to print my plot to save my ink color printer.
I don't want to convert to grayscale, but keep it as an RGB.
I  would be very happy if anyone could help me.
Thank you very much in advance.
Kindly regards,
Muhammad Subianto
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Re: [R] How to convert color to black & white

2005-05-16 Thread Muhammad Subianto
Thank's you very much.
But I need the plot with color not gray.
Best wishes,
Muhammad Subianto
On this day 5/14/2005 3:05 AM, [EMAIL PROTECTED] wrote:
Muhammad,
Here's one option:
barplot(1:5,col=gray(seq(0,1,length=5)))
Norm Olsen
Fisheries and Oceans Canada
-Original Message-
From: [EMAIL PROTECTED]
To: R-help@stat.math.ethz.ch
Sent: 5/13/2005 11:40 AM
Subject: [R] How to convert color to black & white
Dear all,
Could someone please explain to me how to convert color to black &
white.
For example:
barplot(1:5,col = rainbow(5))
Because I need to print my plot to save my ink color printer.
I don't want to convert to grayscale, but keep it as an RGB.
I  would be very happy if anyone could help me.
Thank you very much in advance.
Kindly regards,
Muhammad Subianto
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Re: [R] How to make label in multi plot

2005-05-16 Thread Muhammad Subianto
Dear Dr. Paul Murrel,
Yes, this is exactly what I need.
Thank's you very much.
Best wishes,
Muhammad Subianto
On this day 5/16/2005 5:36 AM, Paul Murrell wrote:
Hi
(cc'ed to Pierre Lapointe because this should answer the question 
about "[R] Centered overall title with layout()" as well)

Muhammad Subianto wrote:
Dear R-Help,
As a reference about multi plot,
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48725.html
I want to know how can I make a label for each row.
I mean like,
  -  --
 ||   ||  ||
Group A |   plot1  |   |  plot 2  |  |  plot 3  |   
 ||   ||  ||
 --  --

  -
  ||
Group B  |  plot 4  |
  ||
  -

Two ways (at least):
(i)  use an outer margin ...
ooma <- par(oma=c(0, 5, 0, 0))
layout(rbind(c(1, 2, 3),
 c(0, 4, 0)))
plot(1:10, main="Plot 1")
olas <- par(las=2)
mtext("Group A", side=2, adj=1, outer=TRUE,
  at=0.75)
par(olas)
plot(1:20, main="Plot 2")
plot(1:30, main="Plot 3")
plot(1:40, main="Plot 4")
olas <- par(las=2)
mtext("Group B", side=2, adj=1, outer=TRUE,
  at=0.25)
par(olas)
# new page!
plot(1:40, main="Plot 5")
par(ooma)
(ii) create an extra row/coloumn in the layout for the labels:
layout(rbind(c(1, 2, 3, 4),
 c(5, 0, 6, 0)),
   widths=c(2, 5, 5, 5))
# "plot 1" is label for row 1
omar <- par(mar=rep(0, 4))
plot.new()
text(0.5, 0.5, "Group A", cex=2)
par(omar)
plot(1:10, main="Plot 1")
plot(1:20, main="Plot 2")
plot(1:30, main="Plot 3")
# "plot 5" is label for row 2
omar <- par(mar=rep(0, 4))
plot.new()
text(0.5, 0.5, "Group B", cex=2)
par(omar)
plot(1:40, main="Plot 4")
# new page!
plot(1:40, main="Plot 5")
Paul
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Re: [R] How to convert color to black & white - Solve

2005-05-16 Thread Muhammad Subianto
Dear Uwe,
Thank for you advice.
Now, I know how to do with my color printer to print black and white.
James Holtman have advise me about that.
Then I use a simple color like this to use my picture.
print.bw4 <-c(blueF = "#FF",
 redF  = "#FF",
 salmon.light  = "#dd9955",
 yellowF   = "#00")
barplot(1:4,col = print.bw4)
Best,
Muhammad Subianto
On this day 5/16/2005 2:42 PM, Uwe Ligges wrote:
Muhammad Subianto wrote:
Thank's you very much.
But I need the plot with color not gray.

So you want a colorful rgb plot, OK, fine with your code below.
Now you want to print it black and white: This is now a question for 
the folks who wrote your printer driver, but not for R-help.

Uwe Ligges

Best wishes,
Muhammad Subianto
On this day 5/14/2005 3:05 AM, [EMAIL PROTECTED] wrote:
Muhammad,
Here's one option:
barplot(1:5,col=gray(seq(0,1,length=5)))
Norm Olsen
Fisheries and Oceans Canada
-Original Message-
From: [EMAIL PROTECTED]
To: R-help@stat.math.ethz.ch
Sent: 5/13/2005 11:40 AM
Subject: [R] How to convert color to black & white
Dear all,
Could someone please explain to me how to convert color to black &
white.
For example:
barplot(1:5,col = rainbow(5))
Because I need to print my plot to save my ink color printer.
I don't want to convert to grayscale, but keep it as an RGB.
I  would be very happy if anyone could help me.
Thank you very much in advance.
Kindly regards,
Muhammad Subianto
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[R] How to convert array to c()

2005-05-18 Thread Muhammad Subianto
Dear R-helper,
Is there possible to make this array:
> a <- array(1:12, c(4, 3))
> a
 [,1] [,2] [,3]
[1,]159
[2,]26   10
[3,]37   11
[4,]48   12
>
like:
c(1,5,9)
c(2,6,10)
c(3,7,11)
c(4,8,12)
Thank you very much in advance.
Regards,
Muhammad Subianto
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Re: [R] How to convert array to c()

2005-05-18 Thread Muhammad Subianto
Dear all,
Many thanks for your help.
Regards,
Muhammad Subianto
On this day 5/18/2005 4:57 PM, Liaw, Andy wrote:
> Is this what you want?
>
>
>>split(a, row(a))
>
> $"1"
> [1] 1 5 9
>
> $"2"
> [1]  2  6 10
>
> $"3"
> [1]  3  7 11
>
> $"4"
> [1]  4  8 12
>
> Andy
On this day 5/18/2005 5:15 PM, [EMAIL PROTECTED] wrote:
Look at ?assign, one possible answer is shown in the examples.  Modified for
your example:
for (i in 1:nrow(a)) {
nam <- paste("r",i, sep=".")
assign(nam, a[i,])
}
would give you four separate objects r.1 to r.4 containing the 4 vectors.
Not sure if that's exactly what you wanted though.
Norm
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[R] Problem with label name in mosaics plot

2005-05-23 Thread Muhammad Subianto

Dear all R-help,
I have a problem with label name in mosaics plot if I use more 4 variables.
Let see with my toy example.

library(vcd)
toy.mosaics <- 
array(c(96,44,1,138,64,2,117,56,6,75,48,5,72,49,6,83,60,8,140,

43,1,171,65,4,152,58,9,101,51,9,102,58,10,111,67,16,24,
5,2,18,7,1,16,7,3,12,6,4,6,8,3,4,10,4,21,4,1,25,6,2,20,
5,1,17,5,111,14,50,1,13,5,8),
  dim=c(4,4,2,3,2,6),
  dimnames=list(
Hair=c("Black", "Brown", "Red", "Blond"),
Eye=c("Green", "Hazel", "Blue", "Brown"),
Race=c("White", "NonWhite"),
Opinion=c("Yes", "No", "Und"),
Sex=c("Male", "Female"),
Age=c("18-25", "26-35", "36-45", "46-55", "56-65", "66+")))
   


# 2 variables
mosaicplot(~ Hair+Eye, data=toy.mosaics, color = TRUE)
x11()
# 3 variables
mosaicplot(~ Hair+Eye+Sex, data=toy.mosaics, color = TRUE)
x11()
# 4 variables
mosaicplot(~ Hair+Eye+Sex+Opinion, data=toy.mosaics, color = TRUE)
x11()
# 5 variables (where is label name Race?)
mosaicplot(~ Hair+Eye+Sex+Opinion+Race, data=toy.mosaics, color = TRUE)
x11()
# 6 variables (where are label name Race and Age?)
mosaicplot(~ Hair+Eye+Sex+Opinion+Race+Age, data=toy.mosaics, color = TRUE)

I think I am wrong to put a model or something wrong in mosaicplot?
I was wondering if someone can help me.
Kindly regards,
Muhammad Subianto

> version
_  
platform i386-pc-mingw32
arch i386   
os   mingw32
system   i386, mingw32  
status  
major2  
minor1.0
year 2005   
month04 
day  18 
language R  


> packageDescription("vcd")
Package: vcd
Version: 0.1-3.5
Date: 2005-02-28
Title: Visualizing Categorical Data
Author: David Meyer, Achim Zeileis, Alexandros Karatzoglou, Kurt
   Hornik
Maintainer: Kurt Hornik <[EMAIL PROTECTED]>
Description: Functions and data sets based on the book "Visualizing
   Categorical Data" by Michael Friendly.
License: GPL
Depends: R (>= 1.4.0), MASS
Packaged: Mon Feb 28 21:02:02 2005; hornik
Built: R 2.1.0; ; 2005-04-09 21:52:15; windows

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[R] How to change all name of variables

2005-06-02 Thread Muhammad Subianto

Dear R-helpers,
First I apologize if my question is quite simple
I have a large datasets which more 100 variables.
For a research I need to change all name of variables with add one or
more letters on each variables.
For example,
> data(Pima.tr)
> Pima.tr[1:5,]
  npreg glu bp skin  bmi   ped age type
1 5  86 68   28 30.2 0.364  24   No
2 7 195 70   33 25.1 0.163  55  Yes
3 5  77 82   41 35.8 0.156  35   No
4 0 165 76   43 47.9 0.259  26   No
5 0 107 60   25 26.4 0.133  23   No
>
> dimnames(Pima.tr)[[2]]
[1] "npreg" "glu"   "bp""skin"  "bmi"   "ped"   "age"   "type"
>

I need to change the variables name ,
"npreg" "glu" "bp" "skin" "bmi" "ped" "age" "type"
with
"xyz.npreg" "xyz.glu" "xyz.bp" "xyz.skin" "xyz.bmi" "xyz.ped" "xyz.age" 
"xyz.type"


How can I make this (automatically). I don't want to make manual with 
more 100 variables.

I  would be very happy if anyone could help me.
Thank you for your time.
Kindly regards, Muhammad Subianto

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Re: [R] How to change all name of variables

2005-06-02 Thread Muhammad Subianto

Dear all R-helpers,
Thanks you very much for your help. I would like to thanks Sean Davis 
and Gabor Grothendieck for their help.

Best wishes, Muhammad Subianto


On this day 6/2/2005 3:21 PM, Gabor Grothendieck wrote:
>
> Try this:
>
> names(prima) <- paste("xyz", names(prima), sep = ".")
>

On this day 6/2/2005 1:20 PM, Sean Davis wrote:
> See ?paste.
>
> Something like below if you have 100 column names:
>
> dimnames(pima.tr)[[2]] <-
> paste(rep('xyz',100),dimnames(pima.tr)[[2]],sep=".")
>
> You probably want to test the paste statement before setting the
> dimnames, or operate on a copy of the data until you get the hang of
> using paste.
>
> Sean


On this day 6/2/2005 1:04 PM, Muhammad Subianto wrote:

Dear R-helpers,
First I apologize if my question is quite simple
I have a large datasets which more 100 variables.
For a research I need to change all name of variables with add one or
more letters on each variables.
For example,
 > data(Pima.tr)
 > Pima.tr[1:5,]
  npreg glu bp skin  bmi   ped age type
1 5  86 68   28 30.2 0.364  24   No
2 7 195 70   33 25.1 0.163  55  Yes
3 5  77 82   41 35.8 0.156  35   No
4 0 165 76   43 47.9 0.259  26   No
5 0 107 60   25 26.4 0.133  23   No
 >
 > dimnames(Pima.tr)[[2]]
[1] "npreg" "glu"   "bp""skin"  "bmi"   "ped"   "age"   "type"
 >

I need to change the variables name ,
"npreg" "glu" "bp" "skin" "bmi" "ped" "age" "type"
with
"xyz.npreg" "xyz.glu" "xyz.bp" "xyz.skin" "xyz.bmi" "xyz.ped" "xyz.age" 
"xyz.type"


How can I make this (automatically). I don't want to make manual with 
more 100 variables.

I  would be very happy if anyone could help me.
Thank you for your time.
Kindly regards, Muhammad Subianto

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[R] adaboost more two classes

2005-06-06 Thread Muhammad Subianto

Dear R-Helper,
I want to know, is there any function/package can handle adaboost more 
two classes?
I know packages gbm and boost, but there are only for 2 classes (correct 
me if I mistake).

Regards, Muhammad Subianto

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[R] data.frame to character

2005-06-10 Thread Muhammad Subianto
Hi,
Excuse me for this simple question.
How to convert as.data.frame to as.character?

  ?data.frame

 > L3 <- LETTERS[1:3]
 >  L10 <- LETTERS[1:10]
 >  d <- data.frame(cbind(x=c("XYZ"), y=L10), fac=sample(L3, 10, repl=TRUE))
 >  d
  x y fac
1  XYZ A   A
2  XYZ B   A
3  XYZ C   A
4  XYZ D   A
5  XYZ E   B
6  XYZ F   C
7  XYZ G   A
8  XYZ H   C
9  XYZ I   B
10 XYZ J   A
 >  str(d)
`data.frame':   10 obs. of  3 variables:
  $ x  : Factor w/ 1 level "XYZ": 1 1 1 1 1 1 1 1 1 1
  $ y  : Factor w/ 10 levels "A","B","C","D",..: 1 2 3 4 5 6 7 8 9 10
  $ fac: Factor w/ 3 levels "A","B","C": 1 1 1 1 2 3 1 3 2 1
 >  d[3,]
 x y fac
3 XYZ C   A
 >
 >  as.character(d[3,])
[1] "1" "3" "1"
 >

I think as.character the result something like
[3] "XYZ" "C" "A"

I don't know how to convert it.
Any help gratefully received.
Thank you very much in advance.
Kindly regards,
Muhammad Subianto

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Re: [R] data.frame to character - thanks

2005-06-10 Thread Muhammad Subianto
Dear all,
Thank you very much for your help.
I would like to thank Andy Liaw and Gabor Grothendieck for their fast help.

Regards,
Muhammad Subianto

On this day 6/10/2005 2:30 PM, Liaw, Andy wrote:
 > Is this what you want?
 >
 >
 >>d[] <- lapply(d, as.character)
 >>str(d)
 >
 > `data.frame':   10 obs. of  3 variables:
 >  $ x  : chr  "XYZ" "XYZ" "XYZ" "XYZ" ...
 >  $ y  : chr  "A" "B" "C" "D" ...
 >  $ fac: chr  "B" "A" "C" "B" ...
 >
 > Andy

On this day 6/10/2005 2:35 PM, Gabor Grothendieck wrote:
 > On 6/10/05, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
 >
 >>Hi,
 >>Excuse me for this simple question.
 >>How to convert as.data.frame to as.character?
 >>
 >> ?data.frame
 >>
 >> > L3 <- LETTERS[1:3]
 >> >  L10 <- LETTERS[1:10]
 >> >  d <- data.frame(cbind(x=c("XYZ"), y=L10), fac=sample(L3, 10, 
repl=TRUE))
 >
 >
 >
 > d[] <- as.matrix(d)
 >

On this day 6/10/2005 2:23 PM, Muhammad Subianto wrote:
> Hi,
> Excuse me for this simple question.
> How to convert as.data.frame to as.character?
> 
>   ?data.frame
> 
>  > L3 <- LETTERS[1:3]
>  >  L10 <- LETTERS[1:10]
>  >  d <- data.frame(cbind(x=c("XYZ"), y=L10), fac=sample(L3, 10, repl=TRUE))
>  >  d
>   x y fac
> 1  XYZ A   A
> 2  XYZ B   A
> 3  XYZ C   A
> 4  XYZ D   A
> 5  XYZ E   B
> 6  XYZ F   C
> 7  XYZ G   A
> 8  XYZ H   C
> 9  XYZ I   B
> 10 XYZ J   A
>  >  str(d)
> `data.frame':   10 obs. of  3 variables:
>   $ x  : Factor w/ 1 level "XYZ": 1 1 1 1 1 1 1 1 1 1
>   $ y  : Factor w/ 10 levels "A","B","C","D",..: 1 2 3 4 5 6 7 8 9 10
>   $ fac: Factor w/ 3 levels "A","B","C": 1 1 1 1 2 3 1 3 2 1
>  >  d[3,]
>  x y fac
> 3 XYZ C   A
>  >
>  >  as.character(d[3,])
> [1] "1" "3" "1"
>  >
> 
> I think as.character the result something like
> [3] "XYZ" "C" "A"
> 
> I don't know how to convert it.
> Any help gratefully received.
> Thank you very much in advance.
> Kindly regards,
> Muhammad Subianto
> 
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[R] combination which limited

2005-06-11 Thread Muhammad Subianto
Dear R-helpers,
I am learning about combination in R.
I want to combination all of
possible variable but it limited. 
I am sorry I could not explain exactly.
For usefull I give an example
  interface <- c("usb","fireware","infra","bluetooth")
  screen<- c("lcd","cube")
  computer  <- c("pc","server","laptop")
  available <- c("yes","no")
  
What the result I need, something like this below,
  usb  lcd pc  yes
  fireware lcd pc  yes
  infralcd pc  yes
  bluetoothlcd pc  yes
  usb  cubepc  yes 
  usb  lcd server  yes
  usb  lcd laptop  yes
  usb  lcd pc  no
  
How can I do that?
I was wondering if someone can help me.
Thanks you for your time and best regards,
Muhammad Subianto

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Re: [R] combination which limited

2005-06-12 Thread Muhammad Subianto
Dear All,
Many thanks to Marc Schwartz and Gabor Grothendieck who have explained
me about using expand.grid function and clearly explain how to use
JGR.

> dd <- expand.grid(interface = interface, screen = screen,
>computer = computer, available = available)
> 
> There are several possibilities now:
> 
> 1. you could list out dd on the console and note the number of the
> rows you want to keep:
> 
> idx <- c(1,5,7)
> dd2 <- dd[,idx]
> 

I like a possible no. 1, because I can use and explore with my hand,
>  idx <- c(1:5,9,17,25)
>  dd2 <- dd[idx,]
>  dd2
   interface screen computer available
1usblcd   pc   yes
2   firewarelcd   pc   yes
3  infralcd   pc   yes
4  bluetoothlcd   pc   yes
5usb   cube   pc   yes
9usblcd   server   yes
17   usblcd   laptop   yes
25   usblcd   pcno
> 

Regards,
Muhammad Subianto
Notepad, Copy and Paste are my best friend to use R.2.1.0 on windows 2000

On 6/11/05, Gabor Grothendieck <[EMAIL PROTECTED]> wrote:
> On 6/11/05, Marc Schwartz <[EMAIL PROTECTED]> wrote:
> > On Sat, 2005-06-11 at 20:44 +0200, Muhammad Subianto wrote:
> > > Dear R-helpers,
> > > I am learning about combination in R.
> > > I want to combination all of
> > > possible variable but it limited.
> > > I am sorry I could not explain exactly.
> > > For usefull I give an example
> > >   interface <- c("usb","fireware","infra","bluetooth")
> > >   screen<- c("lcd","cube")
> > >   computer  <- c("pc","server","laptop")
> > >   available <- c("yes","no")
> > >
> > > What the result I need, something like this below,
> > >   usb  lcd pc  yes
> > >   fireware lcd pc  yes
> > >   infralcd pc  yes
> > >   bluetoothlcd pc  yes
> > >   usb  cubepc  yes
> > >   usb  lcd server  yes
> > >   usb  lcd laptop  yes
> > >   usb  lcd pc  no
> > >
> > > How can I do that?
> > > I was wondering if someone can help me.
> > > Thanks you for your time and best regards,
> > > Muhammad Subianto
> >
> > Use:
> >
> > > expand.grid(interface, screen, computer, available)
> >Var1 Var2   Var3 Var4
> > 1usb  lcd pc  yes
> > 2   fireware  lcd pc  yes
> > 3  infra  lcd pc  yes
> > 4  bluetooth  lcd pc  yes
> > 5usb cube pc  yes
> > 6   fireware cube pc  yes
> > 7  infra cube pc  yes
> > 8  bluetooth cube pc  yes
> > 9usb  lcd server  yes
> > 10  fireware  lcd server  yes
> > 11 infra  lcd server  yes
> > 12 bluetooth  lcd server  yes
> > 13   usb cube server  yes
> > 14  fireware cube server  yes
> > 15 infra cube server  yes
> > 16 bluetooth cube server  yes
> > 17   usb  lcd laptop  yes
> > 18  fireware  lcd laptop  yes
> > 19 infra  lcd laptop  yes
> > 20 bluetooth  lcd laptop  yes
> > 21   usb cube laptop  yes
> > 22  fireware cube laptop  yes
> > 23 infra cube laptop  yes
> > 24 bluetooth cube laptop  yes
> > 25   usb  lcd pc   no
> > 26  fireware  lcd pc   no
> > 27 infra  lcd pc   no
> > 28 bluetooth  lcd pc   no
> > 29   usb cube pc   no
> > 30  fireware cube pc   no
> > 31 infra cube pc   no
> > 32 bluetooth cube pc   no
> > 33   usb  lcd server   no
> > 34  fireware  lcd server   no
> > 35 infra  lcd server   no
> > 36 bluetooth  lcd server   no
> > 37   usb cube server   no
> > 38  fireware cube server   no
> > 39 infra cube server   no
> > 40 bluetooth cube server   no
> > 41   usb  lcd laptop   no
> > 42  fireware  lcd laptop   no
> > 43 infra  lcd laptop   no
> > 44 bluetooth  lcd laptop   no
> > 45   usb cube laptop   no
> > 46  fireware cube laptop   no
> > 47 infra cube laptop   no
> > 48 bluetooth cube laptop   no
> >
> >
> > See ?expand.grid for more information.
> >
> 
> 
> After you do the above you will still want to cut it down to just
> the rows you need.
> 
> As expained, use expand.grid.  Let's assume you used this statement:
> 
> dd <- expand.grid(interface = interface, screen = screen,
>computer = comp

Re: [R] combination which limited

2005-06-13 Thread Muhammad Subianto
Dear R-helpers,

On this day 6/12/2005 10:48 AM, Muhammad Subianto wrote:
> Dear All,
> Many thanks to Marc Schwartz and Gabor Grothendieck who have explained
> me about using expand.grid function and clearly explain how to use
> JGR.
> 
> 
>>dd <- expand.grid(interface = interface, screen = screen,
>>   computer = computer, available = available)
>>
>>There are several possibilities now:
>>
>>1. you could list out dd on the console and note the number of the
>>rows you want to keep:
>>
>>idx <- c(1,5,7)
>>dd2 <- dd[,idx]
>>
> 
> 
> I like a possible no. 1, because I can use and explore with my hand,
> 
>> idx <- c(1:5,9,17,25)
>> dd2 <- dd[idx,]
>> dd2
> 
>interface screen computer available
> 1usblcd   pc   yes
> 2   firewarelcd   pc   yes
> 3  infralcd   pc   yes
> 4  bluetoothlcd   pc   yes
> 5usb   cube   pc   yes
> 9    usblcd   server   yes
> 17   usblcd   laptop   yes
> 25   usblcd   pcno
> 
> 
> Regards,
> Muhammad Subianto
> Notepad, Copy and Paste are my best friend to use R.2.1.0 on windows 2000
> 

As previous mail, using expand.grid can handle all variables in 
datasets. But, if I need only one or more combinations I can choice 
combination (rows) which I need,

interface <- c("usb","fireware","infra","bluetooth")
screen<- c("lcd","cube")
computer  <- c("pc","server","laptop")
available <- c("yes","no")
dd <- 
expand.grid(interface=interface,screen=screen,computer=computer,available=available)
idx <- c(1:5,9,17,25) # this combination rows) what I need
dd2 <- dd[idx,]
dd2

Because I only need combination (1,2,3,4,5,9,17 and 25), I tried to make 
a simple code to make sure what pattern the combination I have. I was 
wondering if someone can help me to make a simple function.

   smdxc <- rbind(
   c(levels(dd[,1])[1], #combination 1
 levels(dd[,2])[1],
 levels(dd[,3])[1],
 levels(dd[,4])[1]),

   c(levels(dd[,1])[2], #combination 2
 levels(dd[,2])[1],
 levels(dd[,3])[1],
 levels(dd[,4])[1]),

   c(levels(dd[,1])[3], #combination 3
 levels(dd[,2])[1],
 levels(dd[,3])[1],
 levels(dd[,4])[1]),

   c(levels(dd[,1])[4], #combination 4
 levels(dd[,2])[1],
 levels(dd[,3])[1],
 levels(dd[,4])[1]),

   c(levels(dd[,1])[1], #combination 5
 levels(dd[,2])[2],
 levels(dd[,3])[1],
 levels(dd[,4])[1]),

   c(levels(dd[,1])[1], #combination 9
 levels(dd[,2])[1],
 levels(dd[,3])[2],
 levels(dd[,4])[1]),

   c(levels(dd[,1])[1], #combination 17
     levels(dd[,2])[1],
 levels(dd[,3])[3],
 levels(dd[,4])[1]),

   c(levels(dd[,1])[1], #combination 25
 levels(dd[,2])[1],
 levels(dd[,3])[1],
 levels(dd[,4])[2]))

smdxc # the result = dd2

Thank you very much in advance.
Kindly regards,
Muhammad Subianto

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Re: [R] combination which limited - thanks again

2005-06-13 Thread Muhammad Subianto
Dear all,
Again, I would like to thank Gabor Grothendieck for your help.
I can improve which you suggest with the others combination.
And thank you for your time.
Sincerely,
Muhammad Subianto

On this day 6/13/2005 2:38 PM, Gabor Grothendieck wrote:
> 
> The pattern seems to be that each row contains at most one column
> that is not at level 1.  That is the entry at row i and column col[i] has
> level lev[i] and all other entries are at level 1.
> 
>   col <- c(1,1,1,1,2,3,3,4)
>   lev <- c(1:4,2,2,3,2)
>   mat <- matrix(1, length(col), 4)
>   mat[cbind(seq(col),col)] <- lev
>   data.frame(interface = factor(mat[,1], lab = interface),
>   screen = factor(mat[,2], lab = screen),
>   computer = factor(mat[,3], lab = computer),
>   available = factor(mat[,4], lab = available))
> 
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[R] update.packages() - gregmisc

2005-06-14 Thread Muhammad Subianto
Dear all,
I have a problem to update package gregmisc.
After I update,
 > update.packages(ask='graphics')
trying URL 
'http://cran.at.r-project.org/bin/windows/contrib/2.1/gregmisc_2.0.8.zip'
Content type 'application/zip' length 2465 bytes
opened URL
downloaded 2465 bytes

package 'gregmisc' successfully unpacked and MD5 sums checked
...

then try to update again, still I must update package gregmisc, etc.
I have tried 3,4,5, times with the same result.

Best,
Muhammad Subianto

 > version
  _
platform i386-pc-mingw32
arch i386
os   mingw32
system   i386, mingw32
status
major2
minor1.0
year 2005
month04
day  18
language R
 >

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Re: [R] update.packages() - gregmisc

2005-06-14 Thread Muhammad Subianto
Thanks.
I do like this,
 > remove.packages("gregmisc", .libPaths()[1])
 > remove.packages("gtools", .libPaths()[1])
 > install.packages("gregmisc", .libPaths()[1])
 > update.packages()
 > update.packages()
 > install.packages("gtools", .libPaths()[1])
 > update.packages()
 > update.packages()
 > update.packages(ask='graphics')

Regards,
Muhammad Subianto
R.2.1.0 on W2K

On this day 6/14/2005 1:51 PM, Gabor Grothendieck wrote:
> On 6/14/05, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
> 
>>Dear all,
>>I have a problem to update package gregmisc.
>>After I update,
>> > update.packages(ask='graphics')
>>trying URL
>>'http://cran.at.r-project.org/bin/windows/contrib/2.1/gregmisc_2.0.8.zip'
>>Content type 'application/zip' length 2465 bytes
>>opened URL
>>downloaded 2465 bytes
>>
>>package 'gregmisc' successfully unpacked and MD5 sums checked
>>...
>>
>>then try to update again, still I must update package gregmisc, etc.
>>I have tried 3,4,5, times with the same result.
>>
> 
> 
> This was discussed on r-devel recently.  See:
> 
> https://www.stat.math.ethz.ch/pipermail/r-devel/2005-June/033479.html
> 
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Re: [R] update.packages() - gregmisc

2005-06-15 Thread Muhammad Subianto


On this day 6/15/2005 12:03 AM, Gabor Grothendieck wrote:
> Is the code in your post intended to show what worked so others
> will know what to do 

Yes, I succes to remove and install gregmisc again like I have posted 
before.
Regards,
Muhammad Subianto

or is that code intended to show what you
> did but did not work?
> 
> If its the latter, I successfully did it last week and don't 
> clearly remember my precise steps but I may have done this:
> 
>   R CMD remove gdata
>   R CMD remove gmodels
>   R CMD remove gplots
>   R CMD remove gtools
>   R CMD remove gregmisc
> 
> I assume that using remove.packages, viz.
> 
>   remove.packages("gregmisc")
>   etc.
> 
> would have given the same result.
> 
> 
> On 6/14/05, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
> 
>>Thanks.
>>I do like this,
>> > remove.packages("gregmisc", .libPaths()[1])
>> > remove.packages("gtools", .libPaths()[1])
>> > install.packages("gregmisc", .libPaths()[1])
>> > update.packages()
>> > update.packages()
>> > install.packages("gtools", .libPaths()[1])
>> > update.packages()
>> > update.packages()
>> > update.packages(ask='graphics')
>>
>>Regards,
>>Muhammad Subianto
>>R.2.1.0 on W2K
>>
>>On this day 6/14/2005 1:51 PM, Gabor Grothendieck wrote:
>>
>>>On 6/14/05, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
>>>
>>>
>>>>Dear all,
>>>>I have a problem to update package gregmisc.
>>>>After I update,
>>>>
>>>>>update.packages(ask='graphics')
>>>>
>>>>trying URL
>>>>'http://cran.at.r-project.org/bin/windows/contrib/2.1/gregmisc_2.0.8.zip'
>>>>Content type 'application/zip' length 2465 bytes
>>>>opened URL
>>>>downloaded 2465 bytes
>>>>
>>>>package 'gregmisc' successfully unpacked and MD5 sums checked
>>>>...
>>>>
>>>>then try to update again, still I must update package gregmisc, etc.
>>>>I have tried 3,4,5, times with the same result.
>>>>
>>>
>>>
>>>This was discussed on r-devel recently.  See:
>>>
>>>https://www.stat.math.ethz.ch/pipermail/r-devel/2005-June/033479.html
> 
> 
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[R] how to change automatically 0=no and 1=yes

2005-06-15 Thread Muhammad Subianto
Dear R-helpers,
I have dataset (data.frame) like below,
   x1  x2  x3   x4   x5  x6  x7  x8  x9 ... x1200
000110011
100110011
010110011
110110011
...
How can I change automatically 0=no and 1=yes.

Thank you very much in advance.
Kindly regards,
Muhammad Subianto

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Re: [R] how to change automatically 0=no and 1=yes

2005-06-15 Thread Muhammad Subianto
Dear all,
Sean Davis, Dimitris Rizopoulos and Marc Schwartz, thanks for your great 
help. It works perfectly. Thanks a lot.
All the best,
Muhammad Subianto

On this day 6/15/2005 4:06 PM, Sean Davis wrote:
 >  > x <- data.frame(matrix(c(1,0,1,0,1,1),nrow=3))
 >  > x[x==0] <- 'no'
 >  > x[x==1] <- 'yes'
 >  > x
 > X1  X2
 > 1 yes  no
 > 2  no yes
 > 3 yes yes
 >

On this day 6/15/2005 4:06 PM, Dimitris Rizopoulos wrote:
 > try this:
 >
 > dat <- data.frame(matrix(sample(0:1, 100 * 20, TRUE), 100, 20))
 > 
 > dat[] <- lapply(dat, factor, levels = c(0, 1), labels = c("no",
 > "yes"))
 > dat
 >

On this day 6/15/2005 4:16 PM, Marc Schwartz wrote:
 >
 >
 >>as.data.frame(ifelse(df == 0, "No", "Yes"))
 >


On this day 6/15/2005 3:58 PM, Muhammad Subianto wrote:
> Dear R-helpers,
> I have dataset (data.frame) like below,
>x1  x2  x3   x4   x5  x6  x7  x8  x9 ... x1200
> 000110011
> 100110011
> 01011001    1
>     110110011
> ...
> How can I change automatically 0=no and 1=yes.
> 
> Thank you very much in advance.
> Kindly regards,
> Muhammad Subianto
> 
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Re: [R] CORRELATION MATRIX CONVERSION

2005-06-17 Thread Muhammad Subianto
Maybe like:

 > dat
 X   Y   Z
X 1.0 0.9 0.5
Y 0.9 1.0 0.1
Z 0.5 0.1 1.0
 > datrow <- stack(as.data.frame(dat))
 > datrow$X=rownames(dat)
 > datrow
   values ind X
11.0   X X
20.9   X Y
30.5   X Z
40.9   Y X
51.0   Y Y
60.1   Y Z
70.5   Z X
80.1   Z Y
91.0   Z Z
 >

Regards,
Muhammad Subianto

On this day 6/17/2005 8:14 AM, Omer Bakkalbasi wrote:
> How do I convert the output of cor(x) to a columnar format? 
> Ex. from format below
> XYZ
> X  1.0  0.9  0.5
> Y  0.9  1.0  0.1
> Z  0.5  0.1  1.0
> 
> to format below
> 
> X X 1.0
> X Y 0.9
> X Z 0.5
> Y X 0.9
> Y Y 1.0
> Y Z 0.1
> Z X 0.5
> Z Y 0.1
> Z Z 1.0
> 
> Thanks!
> 
> Omer
> 
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[R] convert data

2003-12-04 Thread Muhammad Subianto
Dear R-helper,
I have a data set like:
OLDa
ALL
OLDc
OLDa
OLDb
NEW
OLDb
OLDa
ALL
. . .
ALL
OLDc
NEW
I want to convert that data as OLDa=1, OLDb=2, OLDc=3, NEW=4 and ALL=5 
or the result like:

1
5
3
1
2
4
2
1
5
. . .
5
3
4
How can I do it. Thanks you for your help.

Best regards,
Muhammad Subianto
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[R] Change the result data

2004-02-27 Thread Muhammad Subianto
Dear R-helper,

I have a data like:

> hec.data <-array(c(5,15,20,68,29,54,84,119,14,14,17,26,16,10,94,7),
+dim=c(4,4),
+dimnames=list(eye=c("Green","Hazel", "Blue", "Brown"),
+hair=c("Black", "Brown", "Red", "Blond")))
> hec.data
  hair
eye Black Brown Red Blond
 Green 529  1416
 Hazel1554  1410
 Blue 2084  1794
 Brown68   119  26 7
>
but I want the result like below.:

hair   eye counts
Black Green5
Black Hazel   15
Black  Blue   20
Black Brown   68
Brown Green   29
Brown Hazel   54
Brown  Blue   84
Brown Brown  119
Red Green 14
Red Hazel 14
Red  Blue 17
Red Brown 26
Blond Green   16
Blond Hazel   10
Blond  Blue   94
Blond Brown7
How can I do it. Thanks you for your help.

Best regards,
Muhammad Subianto
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Re: [R] Change the result data (thanks you)

2004-02-27 Thread Muhammad Subianto
Dear R-helper,
I use like this below (from Prof. Peter Dalgaard) and thanks to other 
R-helper for your help.

Best regard,

Muhammad Subianto

as.data.frame(as.table(hec.data))
   

eye  hair Freq
1  Green Black5
2  Hazel Black   15
3   Blue Black   20

 

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[R] How to make two figures in one plot - package vcd

2005-09-16 Thread Muhammad Subianto
Dear all,
I have a problem to make figures with two columns in package vcd.
Here an example code I take from "\library\vcd\html\plot.loglm.html"
What I need, I want to make two figures in one plot.
How could I do that.
I have tried with
layout(rbind(c(1, 1, 2, 2)))
but the same result, two plot.

Best wishes, Muhammad Subianto

library(vcd)
oldpar <- par(mfrow=c(1, 2))
## mosaic display for PreSex model
data(PreSex)
fm <- loglm(~ PremaritalSex * ExtramaritalSex * (Gender + MaritalStatus),
 data = aperm(PreSex, c(3, 2, 4, 1)))
## visualize Pearson statistic
plot(fm, split_vertical = TRUE)
## visualize LR statistic
plot(fm, split_vertical = TRUE, residuals_type = "deviance")
par(oldpar)


 > version
  _
platform i386-pc-mingw32
arch i386
os   mingw32
system   i386, mingw32
status
major2
minor1.1
year 2005
month06
day  20
language R
 >
 > packageDescription("vcd")
Package: vcd
Version: 0.9-3
Date: 2005-09-01


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Re: [R] How to make two figures in one plot - package vcd

2005-09-16 Thread Muhammad Subianto
On this day 16/09/2005 05:59 PM, Dieter Menne wrote:
> Muhammad Subianto  gmail.com> writes:
> 
> 
>>I have a problem to make figures with two columns in package vcd.
>>Here an example code I take from "\library\vcd\html\plot.loglm.html"
>>What I need, I want to make two figures in one plot.
>>
>>library(vcd)
>>oldpar <- par(mfrow=c(1, 2))
>>## mosaic display for PreSex model
>>data(PreSex)
>>fm <- loglm(~ PremaritalSex * ExtramaritalSex * (Gender + MaritalStatus),
>> data = aperm(PreSex, c(3, 2, 4, 1)))
>>## visualize Pearson statistic
>>plot(fm, split_vertical = TRUE)
>>## visualize LR statistic
>>plot(fm, split_vertical = TRUE, residuals_type = "deviance")
>>par(oldpar)
> 
> ..
> 
> The example worked in the previous version, but David Meyer has rewritten the 
> whole package using grid functions. Figures are much nicer now, but 
> documentations is a bit on the sparse side. I don't have the docs at hand 
> currently, but I believe you should looks at strucplot to set the layout 
> there, 
> or use grid directly.
> 

Thanks you for your respon.
Yes, I know this a new version vcd (mosaic->vcd <> mosaicplot->core,base 
R). This version is look very nice. I am very happy to use this version.
I have tried to look at documentations like 
"\library\vcd\html\strucplot.html" I have used "newpage=FALSE" but it 
didn't change.
I will try to look at grid package.

> Greetings from an Ex-Cirebonese
> 
> Dieter


Best, Muhammad Subianto

PS.
Ex-Cirebonese? Ha ha ha ... I know this ... 
http://en.wikipedia.org/wiki/Cirebon
how about this http://en.wikipedia.org/wiki/Banda_Aceh

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[R] make some possible neighbourhoods

2005-10-07 Thread Muhammad Subianto
Dear all,
I want to make some possible neighbourhoods in dataset below,
   V1 <- c(0,1,2,3)
   V2 <- c(0,1)
   V3 <- c(0,1,2)
   V4 <- c(0,1,2,3,4)
and then I have a domain which the number of each variables.
For dataset above a domain,
   domains <- c(3,1,2,4)
To create the neighbourhoods I choice one point from all possible point 
in dataset. I take one random point, for instance:
   point <- c(2,1,0,0)
To produce the neighbourhoods I run like this (see a code below):
   neighb2(point,domains)
 >   neighb2(point,domains)
Error: subscript out of bounds
 >

Try one random point again,
   point2 <- c(2,0,1,3)
   neighb2(point2,domains)
 >   neighb2(point2,domains)
Error: subscript out of bounds
 >

but if I choice a random point,
 >  point1 <- c(0,1,1,0)
 >   neighb2(point1,domains)
   [,1] [,2] [,3] [,4]
  [1,]1010
  [2,]1210
  [3,]1310
  [4,]2010
  [5,]2210
...
[65,]0133
[66,]0143
[67,]0104
[68,]0124
[69,]0134
[70,]0144
 >
it's OK.

I am not sure where I am mistake.
I believe it is the problem of the code.
How should I fix this problem.
Thanks in advance for any help.

Best regards,
Muhammad Subianto

Here is a code:

neighb2 <- function(point,domains) {
   nn2 <- sum(domains)*(sum(domains)-1)
   nvar <- length(point)
   neighb <- matrix(nrow=nn2,ncol=nvar)
   k <- 1
   for (i in 1:nvar) {
restvars <- 1:nvar
restvars <- restvars[-i]
for (j in restvars) {
 values1 <- values2 <- 0:domains[i]
 values1 <- values1[-(point[i]+1)]
 values2 <- values2[-(point[j]+1)]
 for (m in values1) {
  for (n in values2) {
   neigh <- point
   neigh[i] <- m
   neigh[j] <- n
   neighb[k,] <- neigh
   k <- k+1
  }
 }
}
   }
   unique(neighb)
   }

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[R] expand.grid problem

2005-10-13 Thread Muhammad Subianto
Hi all,
I want to make all possible combination from dataset below:
  V1   <- c(0,1,2)
  V2   <- c(0,1)
  V3   <- c(0,1)
  V4   <- c(0,1)
  V5   <- c(0,1)
  V6   <- c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20)
  V7   <- c(0,1,2,3,4,5,6)
  V8   <- c(0,1)
  V9   <- c(0,1)
  V10  <- c(0,1)
  V11  <- c(0,1)
  V12  <- c(0,1)
  V13  <- c(0,1)
  V14  <- c(0,1)
  V15  <- c(0,1,2,3,4,5,6,7,8,9)
  V16  <- c(0,1,2,3,4,5,6)
  V17  <- c(0,1,2,3,4,5,6,7,8)
  V18  <- c(0,1,2,3,4,5)
  V19  <- c(0,1)
  V20  <- c(0,1,2,3,4,5,6,7)

When run expand.grid I found a problem:
 >   all.V  <- 
expand.grid(V1,V2,V3,V4,V5,V6,V7,V8,V9,V10,V11,V12,V13,V14,V15,V16,V17,V18,V19,V20)
Error in rep.int(rep.int(x, rep.int(rep.fac, nx)), orep) :
invalid number of copies in rep()
In addition: Warning message:
NAs introduced by coercion
 >  

Then I try to reduce:
 >   all.V.miss  <- 
expand.grid(V1,V2,V3,V4,V5,V7,V8,V9,V10,V11,V17,V18,V19,V20)  
Error: cannot allocate vector of size 36288 Kb
 >
What is that? Is this about memory or I must run on machine 64bit?

Regards, Muhammad Subianto
P4 2.0GHz 512MB RAM

 > R.version$platform
[1] "i686-redhat-linux-gnu"
 > R.version$major
[1] "2"
 > R.version$minor
[1] "1.1"
 > R.version$year
[1] "2005"
 > R.version$month
[1] "06"
 > R.version$language
[1] "R"

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Re: [R] expand.grid problem

2005-10-13 Thread Muhammad Subianto
Dear all, Martyn Plummer and Jim Holtman (offlist) thanks you for quick 
respons. Now I understand. I need more machine and memory.
Thanks a lot.
Muhammad Subianto
--- 20 columns and 54 billion rows?  O:-)

On this day 13/10/2005 01:45 PM, Martyn Plummer wrote:
> 
> 
> It's all about memory.  In your first example, you are trying to create
> a data frame with 20 columns and 54 billion (thousand million) rows.
> Just to store this amount of data as an array of doubles you would need
> 8 terabytes of memory. You are being a bit optimistic trying to do it
> with only 500 Megabytes.
> 
> Martyn
> 
>

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[R] a max value for each column

2005-10-17 Thread Muhammad Subianto
Dear R-list

I have a dataset like below (points), how can I produce a max value for 
each column. I need a result like (I hope my eye correct):

   [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
  [1,]   211   10   99   14   19695 8 5 7

This is a small dataset from 1 row.
 > points
   [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
  [1,]   2109   161   11525 8 2 5
  [2,]   191   10   9370041 6 5 1
  [3,]   1304   3057115 6 3 6
  [4,]519   616   19295 1 1 6
  [5,]211   991   18132 8 1 2
  [6,]705   45   144651 6 5 6
  [7,]006   89   143203 7 2 6
  [8,]   1501   30   14   17323 3 3 5
  [9,]   1405   288   10165 2 3 6
[10,]   1214   6562414 4 4 7
[11,]   14113   12   10574 3 3 4
[12,]   1501   5577153 7 0 2
[13,]   140547   11204 2 2 3
[14,]   1306   9462493 4 0 3
[15,]   2115   79   14   14635 6 5 6
 >

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Re: [R] a max value for each column

2005-10-17 Thread Muhammad Subianto
Acchhh very easy, time to drink a cup of coffe, but 
Thank you for your all.

apply(points, 2, max)

Best regards, Muhammad Subianto

On this day 17/10/2005 02:34 PM, Muhammad Subianto wrote:
> Dear R-list
> 
> I have a dataset like below (points), how can I produce a max value for 
> each column. I need a result like (I hope my eye correct):
> 
>[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
>   [1,]   211   10   99   14   19695 8 5 7
> 
> This is a small dataset from 1 row.
>  > points
>[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
>   [1,]   2109   161   11525 8 2 5
>   [2,]   191   10   9370041 6 5 1
>   [3,]   1304   3057115 6 3 6
>   [4,]519   616   19295 1 1 6
>   [5,]211   991   18132 8 1 2
>   [6,]705   45   144651 6 5 6
>   [7,]006   89   143203 7 2 6
>   [8,]   1501   30   14   17323 3 3 5
>   [9,]   1405   288   10165 2 3 6
> [10,]   1214   6562414 4 4 7
> [11,]   14113   12   10574 3 3 4
> [12,]   1501   5577153 7 0 2
> [13,]   140547   11204 2 2 3
> [14,]   1306   9462493 4 0 3
> [15,]   2115   79   14   14635 6 5 6
>  >
> 
> __
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> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
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[R] error open .RData

2005-10-19 Thread Muhammad Subianto
Dear R-list,
I have a problem to open my R workspace.
When I try to open my file .Rdata with double-clik on windows explore I 
get the error like this:

Error in load(name, envir = .GlobalEnv) : error reading from connection

and on windows error:

Fatal error: unable to restore saved data in .RData

I try with,

 > load("CaseStudyHouseID50.RData", .GlobalEnv)
Error in load("CaseStudyHouseID50.RData", .GlobalEnv) :
 error reading from connection
 >

 > load("CaseStudyHouseID50.RData")
Error in load("CaseStudyHouseID50.RData") :
 error reading from connection
 >

I have done to save my R workspace like this:

   save(list = ls(all=TRUE),
file = "CaseStudyHouseID50.RData")
####

What is wrong?
Is there anyway to open .RData?

Regards, Muhammad Subianto

 > R.version
  _
platform i386-pc-mingw32
arch i386
os   mingw32
system   i386, mingw32
status
major2
minor2.0
year 2005
month10
day  06
svn rev  35749
language R
 >

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Re: [R] error open .RData

2005-10-19 Thread Muhammad Subianto

 > Your .Rdata file is probably corrupted.

I will investigate. Thanks for you info.
Because of my file .RData very large about 75MB.
Best wishes, Muhammad Subianto

On this day 19/10/2005 12:21 PM, Petr Pikal wrote:
> Hi
> 
> Your .Rdata file is probably corrupted. Unless you have a working 
> copy of it elsewhere or sources of your data together with history 
> of your commands you are probably in deep trouble .Rdata is a 
> binary format and it is not recommended to safe and reliable saving 
> of your work as you have only limited, if any, possibilities to 
> recover it if anything goes wrong.
> 
> I usually have all my important source data in txt or xls format and 
> I frequently save history in separate files (on daily basis or 
> sometimes several times a day) to be able to repeat everything I 
> have done.
> 
> Cheers
> Petr
> 
> 
> On 19 Oct 2005 at 11:58, Muhammad Subianto wrote:
> 
> Date sent:    Wed, 19 Oct 2005 11:58:11 +0200
> From: Muhammad Subianto <[EMAIL PROTECTED]>
> To:   r-help@stat.math.ethz.ch
> Subject:  [R] error open .RData
> 
> 
>>Dear R-list,
>>I have a problem to open my R workspace.
>>When I try to open my file .Rdata with double-clik on windows explore
>>I get the error like this:
>>
>>Error in load(name, envir = .GlobalEnv) : error reading from
>>connection
>>
>>and on windows error:
>>
>>Fatal error: unable to restore saved data in .RData
>>
>>I try with,
>>
>> > load("CaseStudyHouseID50.RData", .GlobalEnv)
>>Error in load("CaseStudyHouseID50.RData", .GlobalEnv) :
>> error reading from connection
>> >
>>
>> > load("CaseStudyHouseID50.RData")
>>Error in load("CaseStudyHouseID50.RData") :
>> error reading from connection
>> >
>>
>>I have done to save my R workspace like this:
>>######
>>##
>>   save(list = ls(all=TRUE),
>>file = "CaseStudyHouseID50.RData")
>>##
>>##
>>
>>What is wrong?
>>Is there anyway to open .RData?
>>
>>Regards, Muhammad Subianto
>>
>> > R.version
>>  _
>>platform i386-pc-mingw32
>>arch i386
>>os   mingw32
>>system   i386, mingw32
>>status
>>major2
>>minor2.0
>>year 2005
>>month10
>>day  06
>>svn rev  35749
>>language R
>> >
>>
>>__
>>R-help@stat.math.ethz.ch mailing list
>>https://stat.ethz.ch/mailman/listinfo/r-help
>>PLEASE do read the posting guide!
>>http://www.R-project.org/posting-guide.html
> 
> 
> Petr Pikal
> [EMAIL PROTECTED]
> 
> __
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> https://stat.ethz.ch/mailman/listinfo/r-help
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>

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[R] search a value in variables dataset

2005-10-20 Thread Muhammad Subianto
Dear R-list,
I have a dataset, say (the real dataset is 20 columns,110200 rows).

 > my.reducedID
   V1 V2 V3 V4 V5 V6 V7  V8  V9
  [1,]  1  0  0  1 14  3  1   0   2
  [2,]  2  0  0  1 14  3  1   0   2
  [3,]  0  1  0  1 14  2  1   0   2
  [4,]  0  0  1  1 14  3  1   0   2
  [5,]  0  1  1  0 14  2  1   0   2
  [6,]  0  0  0  1 14  3  1   0   2
  [7,]  0  0  0  1  0  3  1   0   2
  [8,]  0  0  0  1  1  3  1   0   2
  [9,]  0  0  0  1  2  3  1   0   2
[10,]  0  0  0  1  3  3  1   0   2
[11,]  0  0  0  1  4  3  1   0   2
[12,]  0  0  0  1  5  3  1   0   2
[13,]  0  0  0  1  6  3  1   0   2
[14,]  0  0  0  1  7  3  1   0   2
[15,]  0  0  0  1  8  3  1   0   2
[16,]  0  0  0  1  9  3  1   0   2
[17,]  0  0  0  1 10  3  1   0   2
[18,]  0  0  0  1 11  3  1   0   2
[19,]  0  0  0  1 12  3  1   0   2
[20,]  0  0  0  1 13  3  1   0   2
[21,]  0  0  0  1 15  3  1   0   2
[22,]  0  0  0  1 16  3  1   0   2
[23,]  0  0  0  1 17  3  1   0   2
[24,]  0  0  0  1 18  3  1   0   2
[25,]  0  0  0  1 19  3  1   0   2
[26,]  0  0  0  1 20  3  1   0   2
[27,]  0  0  0  1 14  0  1   0   2
[28,]  0  0  0  1 14  1  1   0   2
[29,]  0  0  0  1 14  2  1   0   2
[30,]  0  0  0  1 14  4  1   0   2
 >

I want to search a value in variables, say V1=0, V5=14 and V6=2.
The result should look like
   V1 V2 V3 V4 V5 V6 V7  V8  V9
  [3,]  0  1  0  1 14  2  1   0   2
  [5,]  0  1  1  0 14  2  1   0   2
[29,]  0  0  0  1 14  2  1   0   2

I can do this with: my.reducedID[c(3,5,29),]
Because I have very large dataset I can not make this manual.
Then I need the ID of row did not change, I mean like,
[3,]
[5,]
[29,]
In dataset this is about ID our customers.
I was wondering if anyone give me a trick to make simple.
Thanks you very much for any suggestions.

Best, Muhammad Subianto

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Re: [R] search a value in variables dataset

2005-10-20 Thread Muhammad Subianto
Dear All,
Perfect. Thanks you very much for your help.

Best, Muhammad Subianto


 >>my.reducedID<-read.table(file.choose())
 >>head(my.reducedID)
 >
 > V1 V2 V3 V4 V5 V6 V7 V8 V9
 >[1,]  1  0  0  1 14  3  1  0  2
 >[2,]  2  0  0  1 14  3  1  0  2
 >[3,]  0  1  0  1 14  2  1  0  2
 >[4,]  0  0  1  1 14  3  1  0  2
 >[5,]  0  1  1  0 14  2  1  0  2
 >[6,]  0  0  0  1 14  3  1  0  2
 >
 >>attach(my.reducedID)
 >>my.reducedID[(V1==0 & V5==14 & V6==2),]
 >
 >  V1 V2 V3 V4 V5 V6 V7 V8 V9
 >[3,]   0  1  0  1 14  2  1  0  2
 >[5,]   0  1  1  0 14  2  1  0  2
 >[29,]  0  0  0  1 14  2  1  0  2
 >

 OR ##

 >my.reducedID[ my.reducedID[,1]==0 & my.reducedID[,5]==14 &
 >my.reducedID[,6]==2, ]
 >


On this day 20/10/2005 03:59 PM, Muhammad Subianto wrote:
> Dear R-list,
> I have a dataset, say (the real dataset is 20 columns,110200 rows).
> 
>  > my.reducedID
>V1 V2 V3 V4 V5 V6 V7  V8  V9
>   [1,]  1  0  0  1 14  3  1   0   2
>   [2,]  2  0  0  1 14  3  1   0   2
>   [3,]  0  1  0  1 14  2  1   0   2
>   [4,]  0  0  1  1 14  3  1   0   2
>   [5,]  0  1  1  0 14  2  1   0   2
>   [6,]  0  0  0  1 14  3  1   0   2
>   [7,]  0  0  0  1  0  3  1   0   2
>   [8,]  0  0  0  1  1  3  1   0   2
>   [9,]  0  0  0  1  2  3  1   0   2
> [10,]  0  0  0  1  3  3  1   0   2
> [11,]  0  0  0  1  4  3  1   0   2
> [12,]  0  0  0  1  5  3  1   0   2
> [13,]  0  0  0  1  6  3  1   0   2
> [14,]  0  0  0  1  7  3  1   0   2
> [15,]  0  0  0  1  8  3  1   0   2
> [16,]  0  0  0  1  9  3  1   0   2
> [17,]  0  0  0  1 10  3  1   0   2
> [18,]  0  0  0  1 11  3  1   0   2
> [19,]  0  0  0  1 12  3  1   0   2
> [20,]  0  0  0  1 13  3  1   0   2
> [21,]  0  0  0  1 15  3  1   0   2
> [22,]  0  0  0  1 16  3  1   0   2
> [23,]  0  0  0  1 17  3  1   0   2
> [24,]  0  0  0  1 18  3  1   0   2
> [25,]  0  0  0  1 19  3  1   0   2
> [26,]  0  0  0  1 20  3  1   0   2
> [27,]  0  0  0  1 14  0  1   0   2
> [28,]  0  0  0  1 14  1  1   0   2
> [29,]  0  0  0  1 14  2  1   0   2
> [30,]  0  0  0  1 14  4  1   0   2
>  >
> 
> I want to search a value in variables, say V1=0, V5=14 and V6=2.
> The result should look like
>V1 V2 V3 V4 V5 V6 V7  V8  V9
>   [3,]  0  1  0  1 14  2  1   0   2
>   [5,]  0  1  1  0 14  2  1   0   2
> [29,]  0  0  0  1 14  2  1   0   2
> 
> I can do this with: my.reducedID[c(3,5,29),]
> Because I have very large dataset I can not make this manual.
> Then I need the ID of row did not change, I mean like,
> [3,]
> [5,]
> [29,]
> In dataset this is about ID our customers.
> I was wondering if anyone give me a trick to make simple.
> Thanks you very much for any suggestions.
> 
> Best, Muhammad Subianto
> 
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Re: [R] Take random sample from class variable

2006-08-09 Thread Muhammad Subianto
Dear all,
Andy, thanks you for your help and suggestions.
This is exactly what I was looking for.

Kindly regards, Muhammad Subianto


On 8/8/06, Liaw, Andy <[EMAIL PROTECTED]> wrote:
> There may be better ways, but this should work:
>
> R> p.yes <- 0.7
> R> n.yes <- rbinom(1, nof.sample, p.yes)
> R> n.no <- nof.sample - n.yes
> R> dat.yes <- mydat[sample(which(mydat$Class == "yes"), n.yes,
> replace=TRUE),]
> R> dat.no <- mydat[sample(which(mydat$Class == "no"), n.no, replace=TRUE),]
>
> You can rbind() them, and shuffle the rows if you wish.
>
> Andy
>
> From: Muhammad Subianto
> >
> > Dear all,
> > Suppose I have a dataset like below, then I take for example,
> > 100 random sample "class" variable where contains "yes" and "no"
> > respectively, 70% and 30%.
> > I need a new 100 random sample from mydat dataset, but I
> > can't get the result.
> > Thanks you very much for any helps.
> > Best, Muhammad Subianto
> >
> > mydat <- data.frame(size=c(30,12,15,10,12,12,25,30,20,14),
> >A=c(0,1,0,1,0,1,1,1,0,0),
> >B=c(1,1,0,1,0,1,1,0,0,1),
> >C=c(0,0,1,1,0,0,1,1,0,0),
> >D=c(1,1,1,1,0,1,0,0,1,1),
> >E=c(1,1,0,1,1,1,1,1,1,0),
> >
> > Class=c("yes","yes","no","yes","yes","no","yes","no","yes","yes"))
> > mydat
> > # Maximal data from dataset
> > max.size <- sum(mydat$size);max.size
> > # I need sample random
> > nof.sample <- 100
> > set.seed(123)
> > sample.class <- sample(c("yes","no"), nof.sample, prob=c(.7,
> > .3), replace=TRUE) sample.class sampledat.class <-
> > mydat[sample.class,] sampledat.class
> >
> > __
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
> >
>
>
> --
> Notice:  This e-mail message, together with any attachment...{{dropped}}

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[R] How to compare rows of two matrices

2006-08-24 Thread Muhammad Subianto
Dear all,
I have a dataset
train <- cbind(c(0,2,2,1,0), c(8,9,4,0,2), 6:10, c(-1, 1, 1, -1, 1))
test <- cbind(1:5, c(0,1,5,1,3), c(1,1,2,0,3) ,c(1, 1, -1, 1, 1))

I want to find which rows of train and test it different in its last
column (column 4).
The solution must be something like

train
 [,1] [,2] [,3] [,4]
[1,]086   -1
[3,]2481
[4,]109   -1


test
 [,1] [,2] [,3] [,4]
[1,]1011
[3,]352   -1
[4,]4101

I have tried with
matrix(train %in% test, dim(train))
apply(train, 1, paste, collapse="") %in% apply(test, 1, paste, collapse="")

It doesn't work.
How can I do.
Thanks for any help.

Best, Muhammad Subianto

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Re: [R] How to compare rows of two matrices

2006-08-24 Thread Muhammad Subianto
Dear Stephen C. Upton & Petr Pikal
Thank you both very much for the suggestions!

Best wishes, Muhammad Subianto

On this day 24/08/2006 12:03, Muhammad Subianto wrote:
> Dear all,
> I have a dataset
> train <- cbind(c(0,2,2,1,0), c(8,9,4,0,2), 6:10, c(-1, 1, 1, -1, 1))
> test <- cbind(1:5, c(0,1,5,1,3), c(1,1,2,0,3) ,c(1, 1, -1, 1, 1))
>
> I want to find which rows of train and test it different in its last
> column (column 4).
> The solution must be something like
>
> train
> [,1] [,2] [,3] [,4]
> [1,]086   -1
> [3,]2481
> [4,]109   -1
>
>
> test
> [,1] [,2] [,3] [,4]
> [1,]1011
> [3,]352   -1
> [4,]4101
>
> I have tried with
> matrix(train %in% test, dim(train))
> apply(train, 1, paste, collapse="") %in% apply(test, 1, paste, 
> collapse="")
>
> It doesn't work.
> How can I do.
> Thanks for any help.
>
> Best, Muhammad Subianto
>

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[R] Check values in colums matrix

2006-08-24 Thread Muhammad Subianto
Dear all,
I apologize if my question is quite simple.
I have a dataset (20 columns & 1000 rows) which
some of columns have the same value and the others
have different values.
Here are some piece of my dataset:
obj <- cbind(c(1,1,1,4,0,0,1,4,-1),
 c(0,1,1,4,1,0,1,4,-1),
 c(1,1,1,4,2,0,1,4,-1),
 c(1,1,1,4,3,0,1,4,-1),
 c(1,1,1,4,6,0,1,5,-1),
 c(1,1,1,4,6,0,1,6,-1),
 c(1,1,1,4,6,0,1,7,-1),
 c(1,1,1,4,6,0,1,8,-1))
obj.tr <- t(obj)
obj.tr
> obj.tr
 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,]11140014   -1
[2,]01141014   -1
[3,]11142014   -1
[4,]11143014   -1
[5,]11146015   -1
[6,]11146016   -1
[7,]11146017   -1
[8,]11146018   -1
>

How can I do to check columns 2,3,4,6,7 and 9 have
the same value, and columns 1,5 and 8 have different values.

Best, Muhammad Subianto

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Re: [R] Check values in colums matrix

2006-08-25 Thread Muhammad Subianto
Dear all,
I would like to thank everybody who replied for their useful 
suggestions. Maybe, I am going through the book statistics to teach 
(fresh) myself.
Wish you have a nice weekend.

Regards, Muhammad Subianto


On this day 24/08/2006 18:59, Muhammad Subianto wrote:
> Dear all,
> I apologize if my question is quite simple.
> I have a dataset (20 columns & 1000 rows) which
> some of columns have the same value and the others
> have different values.
> Here are some piece of my dataset:
> obj <- cbind(c(1,1,1,4,0,0,1,4,-1),
>  c(0,1,1,4,1,0,1,4,-1),
>  c(1,1,1,4,2,0,1,4,-1),
>  c(1,1,1,4,3,0,1,4,-1),
>  c(1,1,1,4,6,0,1,5,-1),
>  c(1,1,1,4,6,0,1,6,-1),
>  c(1,1,1,4,6,0,1,7,-1),
>  c(1,1,1,4,6,0,1,8,-1))
> obj.tr <- t(obj)
> obj.tr
>> obj.tr
>  [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
> [1,]11140014   -1
> [2,]01141014   -1
> [3,]11142014   -1
> [4,]11143014   -1
> [5,]11146015   -1
> [6,]11146016   -1
> [7,]11146017   -1
> [8,]11146018   -1
> 
> How can I do to check columns 2,3,4,6,7 and 9 have
> the same value, and columns 1,5 and 8 have different values.
> 
> Best, Muhammad Subianto
> 
> __
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> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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[R] Merge list to list - as matrix

2006-08-28 Thread Muhammad Subianto
Dear all,

I have dataset
x <- list(matrix(1:20, 5, 4),matrix(1:20, 5, 4),matrix(1:20, 5, 4))
y <- list(matrix(110:114, 5, 1),matrix(110:114, 5, 1),matrix(110:114, 5, 1))

I need merge x and y as list (y put in last column).
The result is something like

[[1]]
 [,1] [,2] [,3] [,4]  [,5]
[1,]16   11   16   110
[2,]27   12   17   111
[3,]38   13   18   112
[4,]49   14   19   113
[5,]5   10   15   20   114

[[2]]
 [,1] [,2] [,3] [,4]  [,5]
[1,]16   11   16   110
[2,]27   12   17   111
[3,]38   13   18   112
[4,]49   14   19   113
[5,]5   10   15   20   114

[[3]]
 [,1] [,2] [,3] [,4]  [,5]
[1,]16   11   16   110
[2,]27   12   17   111
[3,]38   13   18   112
[4,]49   14   19   113
[5,]5   10   15   20   114

I have tried
a <- list(x,y)
as.data.frame(t(sapply(a, rbind)))
lapply(a, function(x) matrix(unlist(x), nrow = length(x), byrow = TRUE))
but I don't know how to fix it.

Regards, Muhammad Subianto

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[R] Remove empty list from list

2006-08-28 Thread Muhammad Subianto
Dear all,
I am still working with "list".
If I have an empty list how can I remove from list data.
Here is a toy example:
x <- list(matrix(1:20, 5, 4),matrix(1:20, 5, 4),matrix(1:20, 5,
4),matrix(1:20, 5, 4),matrix(1:20, 5, 4))
y <- list(c(1, -1, -1, 1, 1),c(1, 1, -1, -1, -1),c(1, 1, 1, 1, 1),c(1,
1, -1, 1, -1),c(-1, -1, -1, -1, -1))
## Thanks to Gabor Grothendieck for this trick.
## SIMPLIFY? SIMPLIFY >< simplify
xy.list <- mapply(cbind, x, y, SIMPLIFY=FALSE)

point.class <- 
t(cbind(c(10,20,15,4,-1),c(21,10,15,34,-1),c(11,13,6,3,1),c(7,5,5,2,1),c(8,9,5,12,-1)))
class.diffsame <- points.neighb(as.matrix(point.class), xy.list, 5)
pd.class <- points.diff(class.diffsame,xy.list)

nc.test <- vector("list",length(pd.class))
for (i in 1:length(pd.class)) {
 nc.test[[i]] <- pd.class[[i]]$point.diff
}
nc.test
> nc.test
[[1]]
 [,1] [,2] [,3] [,4] [,5]
[1,]16   11   161
[2,]49   14   191
[3,]5   10   15   201

[[2]]
 [,1] [,2] [,3] [,4] [,5]
[1,]16   11   161
[2,]27   12   171

[[3]]
 [,1] [,2] [,3] [,4] [,5]

[[4]]
 [,1] [,2] [,3] [,4] [,5]
[1,]38   13   18   -1
[2,]5   10   15   20   -1

[[5]]
 [,1] [,2] [,3] [,4] [,5]

>
I want to remove these:
nc.test[[3]]
nc.test[[5]]
Because my list data have more 1000 lists are there any simple way to do this?

Best, Muhammad Subianto


points.neighb <- function(p.class, list.nc, class.col) {
   ntuples <- nrow(p.class)
   instvec <- vector("list",length=ntuples)
   for (i in 1:ntuples) {
# Thanks to Petr Pikal for this trick
instvec[[i]]$class.diff <- (p.class[i,class.col] -
list.nc[[i]][,class.col])!=0
instvec[[i]]$class.same <- (p.class[i,class.col] -
list.nc[[i]][,class.col])==0
   }
   instvec
}

points.diff <- function(p.class, list.nc) {
   ntuples <- length(list.nc)
   instvec <- vector("list",ntuples)
   for (i in 1:ntuples) {
instvec[[i]]$point.diff <- list.nc[[i]][p.class[[i]]$class.diff,]
instvec[[i]]$point.same <- list.nc[[i]][p.class[[i]]$class.same,]
   }
   instvec
}

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Re: [R] Remove empty list from list

2006-08-28 Thread Muhammad Subianto
On this day 28/08/2006 19:20, Muhammad Subianto wrote:
> Dear all,
> I am still working with "list".
> If I have an empty list how can I remove from list data.
> Here is a toy example:
> x <- list(matrix(1:20, 5, 4),matrix(1:20, 5, 4),matrix(1:20, 5,
> 4),matrix(1:20, 5, 4),matrix(1:20, 5, 4))
> y <- list(c(1, -1, -1, 1, 1),c(1, 1, -1, -1, -1),c(1, 1, 1, 1, 1),c(1,
> 1, -1, 1, -1),c(-1, -1, -1, -1, -1))
> ## Thanks to Gabor Grothendieck for this trick.
> ## SIMPLIFY? SIMPLIFY >< simplify
> xy.list <- mapply(cbind, x, y, SIMPLIFY=FALSE)
> 
> point.class <- 
> t(cbind(c(10,20,15,4,-1),c(21,10,15,34,-1),c(11,13,6,3,1),c(7,5,5,2,1),c(8,9,5,12,-1)))
> class.diffsame <- points.neighb(as.matrix(point.class), xy.list, 5)
> pd.class <- points.diff(class.diffsame,xy.list)
> 
> nc.test <- vector("list",length(pd.class))
> for (i in 1:length(pd.class)) {
>  nc.test[[i]] <- pd.class[[i]]$point.diff
> }
> nc.test
>> nc.test
> [[1]]
>  [,1] [,2] [,3] [,4] [,5]
> [1,]16   11   161
> [2,]49   14   191
> [3,]5   10   15   201
> 
> [[2]]
>  [,1] [,2] [,3] [,4] [,5]
> [1,]16   11   161
> [2,]27   12   171
> 
> [[3]]
>  [,1] [,2] [,3] [,4] [,5]
> 
> [[4]]
>  [,1] [,2] [,3] [,4] [,5]
> [1,]38   13   18   -1
> [2,]5   10   15   20   -1
> 
> [[5]]
>  [,1] [,2] [,3] [,4] [,5]
> 
> I want to remove these:
> nc.test[[3]]
> nc.test[[5]]
> Because my list data have more 1000 lists are there any simple way to do this?
> 
> Best, Muhammad Subianto
> 
> 
> points.neighb <- function(p.class, list.nc, class.col) {
>ntuples <- nrow(p.class)
>instvec <- vector("list",length=ntuples)
>for (i in 1:ntuples) {
> # Thanks to Petr Pikal for this trick
> instvec[[i]]$class.diff <- (p.class[i,class.col] -
> list.nc[[i]][,class.col])!=0
> instvec[[i]]$class.same <- (p.class[i,class.col] -
> list.nc[[i]][,class.col])==0
>}
>instvec
> }
> 
> points.diff <- function(p.class, list.nc) {
>ntuples <- length(list.nc)
>instvec <- vector("list",ntuples)
>for (i in 1:ntuples) {
> instvec[[i]]$point.diff <- list.nc[[i]][p.class[[i]]$class.diff,]
> instvec[[i]]$point.same <- list.nc[[i]][p.class[[i]]$class.same,]
>}
>instvec
> }
> 

Dear
Jim Holtman and Gabor Grothendieck,
Thank you both very much for the suggestions!
These is exactly what I was looking for.

Best wishes, Muhammad Subianto


## delete null/empty entries in a list
delete.NULLs  <-  function(x.list){
 x.list[unlist(lapply(x.list, length) != 0)]
}

 > delete.NULLs  <-  function(x.list){
+ x.list[unlist(lapply(x.list, length) != 0)]
+ }
 > delete.NULLs  <-  function(x.list){
+ x.list[unlist(lapply(x.list, length) != 0)]
+ }
 >
 > delete.NULLs(nc.test)
[[1]]
  [,1] [,2] [,3] [,4] [,5]
[1,]16   11   161
[2,]49   14   191
[3,]5   10   15   201

[[2]]
  [,1] [,2] [,3] [,4] [,5]
[1,]16   11   161
[2,]27   12   171

[[3]]
  [,1] [,2] [,3] [,4] [,5]
[1,]38   13   18   -1
[2,]5   10   15   20   -1

 >

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Re: [R] Remove empty list from list - remove only one row and make as matrix

2006-08-29 Thread Muhammad Subianto
Dear all,
After I work around, I found in my list of data with only one row which 
need to remove or make it as matrix.
Here I write again my other toy example:
x <- list(matrix(1:20, 5, 4),matrix(1:20, 5, 4),matrix(1:20, 5, 
4),matrix(1:20, 5, 4),matrix(1:20, 5, 4))
y <- list(c(1, -1, -1, 1, 1),c(1, -1, -1, -1, -1),c(1, 1, 1, 1, 1),c(1, 
1, -1, 1, -1),c(-1, -1, -1, -1, -1))
## Thanks to Gabor Grothendieck for this trick.
## SIMPLIFY? SIMPLIFY >< simplify
xy.list <- mapply(cbind, x, y, SIMPLIFY=FALSE)

point.class <- 
t(cbind(c(10,20,15,4,-1),c(21,10,15,34,-1),c(11,13,6,3,1),c(7,5,5,2,1),c(8,9,5,12,-1)))
class.diffsame <- points.neighb(as.matrix(point.class), xy.list, 5)
pd.class <- points.diff(class.diffsame,xy.list)

nc.test <- vector("list",length(pd.class))
for (i in 1:length(pd.class)) {
  nc.test[[i]] <- pd.class[[i]]$point.diff
}
nc.test

# delete null/empty entries in a list
dff <- delete.NULLs(nc.test)
dff; str(dff)
 > dff
[[1]]
  [,1] [,2] [,3] [,4] [,5]
[1,]16   11   161
[2,]49   14   191
[3,]5   10   15   201

[[2]]
[1]  1  6 11 16  1

[[3]]
  [,1] [,2] [,3] [,4] [,5]
[1,]38   13   18   -1
[2,]5   10   15   20   -1

 >

lapply(dff, nrow)
 > lapply(dff, nrow)
[[1]]
[1] 3

[[2]]
NULL

[[3]]
[1] 2

 >

#I can use
#dff[unlist(lapply(dff, nrow) == 1)] #2,3, etc

I have two questions here:
a. I need to remove dff[[2]]
b. How to make it as matrix (in list). I mean the result something like

[[1]]
  [,1] [,2] [,3] [,4] [,5]
[1,]16   11   161
[2,]49   14   191
[3,]5   10   15   201

[[2]]
  [,1] [,2] [,3] [,4] [,5]
[1]1611   161

[[3]]
  [,1] [,2] [,3] [,4] [,5]
[1,]38   13   18   -1
[2,]5   10   15   20   -1


Best, Muhammad Subianto


points.neighb <- function(p.class, list.nc, class.col) {
ntuples <- nrow(p.class)
instvec <- vector("list",length=ntuples)
for (i in 1:ntuples) {
 # Thanks to Petr Pikal for this trick
 instvec[[i]]$class.diff <- (p.class[i,class.col] - 
list.nc[[i]][,class.col])!=0
 instvec[[i]]$class.same <- (p.class[i,class.col] - 
list.nc[[i]][,class.col])==0
}
instvec
}

points.diff <- function(p.class, list.nc) {
ntuples <- length(list.nc)
instvec <- vector("list",ntuples)
for (i in 1:ntuples) {
 instvec[[i]]$point.diff <- list.nc[[i]][p.class[[i]]$class.diff,]
 instvec[[i]]$point.same <- list.nc[[i]][p.class[[i]]$class.same,]
}
instvec
}

# Thanks to Jim Holtman for this trick
delete.NULLs  <-  function(x.list){
 x.list[unlist(lapply(x.list, length) != 0)]
}

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Re: [R] Remove empty list from list - remove only one row and make as matrix

2006-08-29 Thread Muhammad Subianto

Dear all,
Dimitris, thanks for your great help and quick response.

Best, Muhammad Subianto


 > dff[sapply(dff, is.matrix)]
[[1]]
  [,1] [,2] [,3] [,4] [,5]
[1,]16   11   161
[2,]49   14   191
[3,]5   10   15   201

[[2]]
  [,1] [,2] [,3] [,4] [,5]
[1,]38   13   18   -1
[2,]5   10   15   20   -1

 > lapply(dff, function(x) if(!is.matrix(x)) rbind(x) else x)
[[1]]
  [,1] [,2] [,3] [,4] [,5]
[1,]16   11   161
[2,]49   14   191
[3,]5   10   15   201

[[2]]
   [,1] [,2] [,3] [,4] [,5]
x16   11   161

[[3]]
  [,1] [,2] [,3] [,4] [,5]
[1,]38   13   18   -1
[2,]5   10   15   20   -1

 >

On this day 29/08/2006 13:34, Dimitris Rizopoulos wrote:
> try the following:
> 
> # a
> dff[sapply(dff, is.matrix)]
> 
> # b
> lapply(dff, function(x) if(!is.matrix(x)) rbind(x) else x)
> 
> 
> I hope it helps.
> 
> Best,
> Dimitris
> 
> 
> Dimitris Rizopoulos
> Ph.D. Student
> Biostatistical Centre
> School of Public Health
> Catholic University of Leuven
> 
> Address: Kapucijnenvoer 35, Leuven, Belgium
> Tel: +32/(0)16/336899
> Fax: +32/(0)16/337015
> Web: http://med.kuleuven.be/biostat/
>  http://www.student.kuleuven.be/~m0390867/dimitris.htm
> 
> 
> - Original Message - 
> From: "Muhammad Subianto" <[EMAIL PROTECTED]>
> To: 
> Sent: Tuesday, August 29, 2006 1:22 PM
> Subject: Re: [R] Remove empty list from list - remove only one row and 
> make as matrix
> 
> 
>> Dear all,
>> After I work around, I found in my list of data with only one row 
>> which
>> need to remove or make it as matrix.
>> Here I write again my other toy example:
>> x <- list(matrix(1:20, 5, 4),matrix(1:20, 5, 4),matrix(1:20, 5,
>> 4),matrix(1:20, 5, 4),matrix(1:20, 5, 4))
>> y <- list(c(1, -1, -1, 1, 1),c(1, -1, -1, -1, -1),c(1, 1, 1, 1, 
>> 1),c(1,
>> 1, -1, 1, -1),c(-1, -1, -1, -1, -1))
>> ## Thanks to Gabor Grothendieck for this trick.
>> ## SIMPLIFY? SIMPLIFY >< simplify
>> xy.list <- mapply(cbind, x, y, SIMPLIFY=FALSE)
>>
>> point.class <-
>> t(cbind(c(10,20,15,4,-1),c(21,10,15,34,-1),c(11,13,6,3,1),c(7,5,5,2,1),c(8,9,5,12,-1)))
>> class.diffsame <- points.neighb(as.matrix(point.class), xy.list, 5)
>> pd.class <- points.diff(class.diffsame,xy.list)
>>
>> nc.test <- vector("list",length(pd.class))
>> for (i in 1:length(pd.class)) {
>>  nc.test[[i]] <- pd.class[[i]]$point.diff
>> }
>> nc.test
>>
>> # delete null/empty entries in a list
>> dff <- delete.NULLs(nc.test)
>> dff; str(dff)
>>> dff
>> [[1]]
>>  [,1] [,2] [,3] [,4] [,5]
>> [1,]16   11   161
>> [2,]49   14   191
>> [3,]5   10   15   201
>>
>> [[2]]
>> [1]  1  6 11 16  1
>>
>> [[3]]
>>  [,1] [,2] [,3] [,4] [,5]
>> [1,]38   13   18   -1
>> [2,]5   10   15   20   -1
>>
>> lapply(dff, nrow)
>>> lapply(dff, nrow)
>> [[1]]
>> [1] 3
>>
>> [[2]]
>> NULL
>>
>> [[3]]
>> [1] 2
>>
>> #I can use
>> #dff[unlist(lapply(dff, nrow) == 1)] #2,3, etc
>>
>> I have two questions here:
>> a. I need to remove dff[[2]]
>> b. How to make it as matrix (in list). I mean the result something 
>> like
>>
>> [[1]]
>>  [,1] [,2] [,3] [,4] [,5]
>> [1,]16   11   161
>> [2,]49   14   191
>> [3,]5   10   15   201
>>
>> [[2]]
>>  [,1] [,2] [,3] [,4] [,5]
>> [1]1611   161
>>
>> [[3]]
>>  [,1] [,2] [,3] [,4] [,5]
>> [1,]38   13   18   -1
>> [2,]5   10   15   20   -1
>>
>>
>> Best, Muhammad Subianto
>>
>>
>> points.neighb <- function(p.class, list.nc, class.col) {
>>ntuples <- nrow(p.class)
>>instvec <- vector("list",length=ntuples)
>>for (i in 1:ntuples) {
>> # Thanks to Petr Pikal for this trick
>> instvec[[i]]$class.diff <- (p.class[i,class.col] -
>> list.nc[[i]][,class.col])!=0
>> instvec[[i]]$class.same <- (p.class[i,class.col] -
>> list.nc[[i]][,class.col])==0
>>}
>>instvec
>> }
>>
>> points.diff <- function(p.class, list.nc) {
>>ntuples <- length(list.nc)
>>instvec <- vector("list",ntuples)
>>for (i in 1:ntuples) {
>> instvec[[i]]$point.diff <- 
>> list.nc[[i]][p.class[[i]]$class.diff,]
>> instvec[[i]]$point.same <- 
>> list.nc[[i]][p.class[[i]]$class.same,]
>>}
>>instvec
>> }
>>
>> # Thanks to Jim Holtman for this trick
>> delete.NULLs  <-  function(x.list){
>> x.list[unlist(lapply(x.list, length) != 0)]
>> }
>>

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[R] Barplot

2006-08-30 Thread Muhammad Subianto
Dear all,
I have a dataset. I want to make barplot from this data.
Zero1 <- "
   V1 V2 V3 V4 V5 V6 V7 V8   V9
1   1  0  0  0  1  0  0  0 Positive
2   0  0  1  0  1  0  1  1 Negative
3   0  0  1  0  0  0  1  1 Positive
4   0  1  0  1  1  1  0  1 Negative
5   0  0  1  0  1  1  0  0 Positive
6   0  1  0  0  1  1  1  1 Negative
7   1  0  1  1  1  1  1  1 Negative
8   0  0  0  0  1  0  0  1 Negative
9   0  1  1  1  1  0  0  1 Negative
10  0  0  0  1  1  0  1  0 Positive
11  0  0  0  0  1  0  0  1 Negative
12  0  0  1  1  1  1  1  0 Positive
13  0  1  1  0  1  1  1  1 Negative"

z1 <- read.table(textConnection(Zero1), header=TRUE)
z1
str(z1)

A simple way I can use mosaic plot
mosaicplot(table(z1))
library(vcd)
mosaic(table(z1))

I have tried to learn ?xtabs ?table and ?ftable but I can't figure out.
I need a barplot for all variables and the result maybe like

|   |  |   |
|   |   | |   |   ||   |   |
|pos|neg| |pos|neg||pos|neg|
|   |   | |   |   ||   |   |
- --
v1v2v3  v7 v8

Thanks you for any helps.
Regards, Muhammad Subianto

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Re: [R] Barplot - thanks

2006-08-30 Thread Muhammad Subianto
Dear all,
Many Thanks to Jacques VESLOT and Jim Lemon for their helps.

Best, Muhammad Subianto


#Jacques VESLOT
barplot(t(sapply(split(z1[,1:8], z1$V9),colSums)), beside=T)

#Jim Lemon
barplot(sapply(z1[1:8],by,z1[9],sum),beside=TRUE)




On this day 30/08/2006 11:43, Muhammad Subianto wrote:
> Dear all,
> I have a dataset. I want to make barplot from this data.
> Zero1 <- "
>V1 V2 V3 V4 V5 V6 V7 V8   V9
> 1   1  0  0  0  1  0  0  0 Positive
> 2   0  0  1  0  1  0  1  1 Negative
> 3   0  0  1  0  0  0  1  1 Positive
> 4   0  1  0  1  1  1  0  1 Negative
> 5   0  0  1  0  1  1  0  0 Positive
> 6   0  1  0  0  1  1  1  1 Negative
> 7   1  0  1  1  1  1  1  1 Negative
> 8   0  0  0  0  1  0  0  1 Negative
> 9   0  1  1  1  1  0  0  1 Negative
> 10  0  0  0  1  1  0  1  0 Positive
> 11  0  0  0  0  1  0  0  1 Negative
> 12  0  0  1  1  1  1  1  0 Positive
> 13  0  1  1  0  1  1  1  1 Negative"
> 
> z1 <- read.table(textConnection(Zero1), header=TRUE)
> z1
> str(z1)
> 
> A simple way I can use mosaic plot
> mosaicplot(table(z1))
> library(vcd)
> mosaic(table(z1))
> 
> I have tried to learn ?xtabs ?table and ?ftable but I can't figure out.
> I need a barplot for all variables and the result maybe like
> 
> |   |  |   |
> |   |   | |   |   ||   |   |
> |pos|neg| |pos|neg||pos|neg|
> |   |   | |   |   ||   |   |
> ----- --
> v1v2v3  v7 v8
> 
> Thanks you for any helps.
> Regards, Muhammad Subianto
>

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Re: [R] Barplot

2006-08-30 Thread Muhammad Subianto
Dear all,

To Gabor Grothendieck,  (again) thanks you very much for your help.
Now, I can play around with lattice package.

Best, Muhammad Subianto

#Gabor
#reduce the data to a frequency matrix and
#then plot it using classic and then lattice graphics:

zm <- as.matrix(rowsum(z1[-9], z1[,9]))

barplot(zm, beside = TRUE, col = grey.colors(2))
legend("topleft", legend = levels(z1[,9]), fill = grey.colors(2))

library(lattice)
barchart(Freq ~ Var2, as.data.frame.table(zm),
   groups = Var1, origin = 0, auto.key = TRUE)


On this day 30/08/2006 16:18, Gabor Grothendieck wrote:
> Try this.  First we reduce the data to a frequency matrix and
> then plot it using classic and then lattice graphics:
> 
> zm <- as.matrix(rowsum(z1[-9], z1[,9]))
> 
> barplot(zm, beside = TRUE, col = grey.colors(2))
> legend("topleft", legend = levels(z1[,9]), fill = grey.colors(2))
> 
> library(lattice)
> barchart(Freq ~ Var2, as.data.frame.table(zm),
>   groups = Var1, origin = 0, auto.key = TRUE)
> 
> On 8/30/06, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
>> Dear all,
>> I have a dataset. I want to make barplot from this data.
>> Zero1 <- "
>>   V1 V2 V3 V4 V5 V6 V7 V8   V9
>> 1   1  0  0  0  1  0  0  0 Positive
>> 2   0  0  1  0  1  0  1  1 Negative
>> 3   0  0  1  0  0  0  1  1 Positive
>> 4   0  1  0  1  1  1  0  1 Negative
>> 5   0  0  1  0  1  1  0  0 Positive
>> 6   0  1  0  0  1  1  1  1 Negative
>> 7   1  0  1  1  1  1  1  1 Negative
>> 8   0  0  0  0  1  0  0  1 Negative
>> 9   0  1  1  1  1  0  0  1 Negative
>> 10  0  0  0  1  1  0  1  0 Positive
>> 11  0  0  0  0  1  0  0  1 Negative
>> 12  0  0  1  1  1  1  1  0 Positive
>> 13  0  1  1  0  1  1  1  1 Negative"
>>
>> z1 <- read.table(textConnection(Zero1), header=TRUE)
>> z1
>> str(z1)
>>
>> A simple way I can use mosaic plot
>> mosaicplot(table(z1))
>> library(vcd)
>> mosaic(table(z1))
>>
>> I have tried to learn ?xtabs ?table and ?ftable but I can't figure out.
>> I need a barplot for all variables and the result maybe like
>>
>> |   |      |   |
>> |   |   | |   |   ||   |   |
>> |pos|neg| |pos|neg||pos|neg|
>> |   |   | |   |   ||   |   |
>> - --
>>v1v2v3  v7 v8
>>
>> Thanks you for any helps.
>> Regards, Muhammad Subianto

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Re: [R] Merge list to list - as list

2006-09-03 Thread Muhammad Subianto
Dear all,
#Last week, I asked about merge x and y as list.
#Now I have a dataset with list of list like:
x <- list(list(matrix(1:20, 5, 4),matrix(1:20, 5, 4)),
  list(matrix(1:20, 5, 4),matrix(1:20, 5, 4)))
y <- list(list(c(1, -1, -1, 1, 1),c(1, 1, -1, -1, -1)),
  list(c(1, 1, 1, 1, 1),c(1, 1, -1, 1, -1)))
x
y

#I need merge x and y, I have tried with
list.uni <- vector("list", length(x))
for (i in 1:length(x)) {
 for (j in 1:length(x[[1]])) {
  list.uni[[i]][[j]] <- mapply(cbind,
   x[[i]][[j]],
   y[[i]][[j]],
   SIMPLIFY=FALSE)
 }
}
list.uni

I have learn about ?lapply, ?sapply and ?mapply but I still didn't
understand how to use it.
I need the result something like


[[1]]
[[1]][[1]]
 [,1] [,2] [,3] [,4] [5]
[1,]16   11   16  1
[2,]27   12   17  -1
[3,]38   13   18  -1
[4,]49   14   19  1
[5,]5   10   15   20  1

[[1]][[2]]
 [,1] [,2] [,3] [,4] [5]
[1,]16   11   16  1
[2,]27   12   17  1
[3,]38   13   18  -1
[4,]49   14   19  -1
[5,]5   10   15   20  -1


[[2]]
[[2]][[1]]
 [,1] [,2] [,3] [,4] [5]
[1,]16   11   16  1
[2,]27   12   17  1
[3,]38   13   18  1
[4,]49   14   19  1
[5,]5   10   15   20  1

[[2]][[2]]
 [,1] [,2] [,3] [,4] [5]
[1,]16   11   16  1
[2,]27   12   17  1
[3,]38   13   18  -1
[4,]49   14   19  1
[5,]5   10   15   20  -1

Thanks you for any help.
Best wishes, Muhammad Subianto




#Gabor Grothendieck ggrothendieck at gmail.com
#Mon Aug 28 13:53:52 CEST 2006

Here are two ways:

1. use indexes:

lapply(seq(along = x), function(i) cbind(x[[i]], y[[i]]))

2. use mapply:

mapply(cbind, x, y, SIMPLIFY = FALSE)


On 8/28/06, Muhammad Subianto  wrote:
> Dear all,
>
> I have dataset
> x <- list(matrix(1:20, 5, 4),matrix(1:20, 5, 4),matrix(1:20, 5, 4))
> y <- list(matrix(110:114, 5, 1),matrix(110:114, 5, 1),matrix(110:114, 5, 1))
>
> I need merge x and y as list (y put in last column).
> The result is something like
>
> [[1]]
> [,1] [,2] [,3] [,4]  [,5]
> [1,]16   11   16   110
> [2,]27   12   17   111
> [3,]38   13   18   112
> [4,]49   14   19   113
> [5,]5   10   15   20   114
>
> [[2]]
> [,1] [,2] [,3] [,4]  [,5]
> [1,]16   11   16   110
> [2,]27   12   17   111
> [3,]38   13   18   112
> [4,]49   14   19   113
> [5,]5   10   15   20   114
>
> [[3]]
> [,1] [,2] [,3] [,4]  [,5]
> [1,]16   11   16   110
> [2,]27   12   17   111
> [3,]38   13   18   112
> [4,]49   14   19   113
> [5,]5   10   15   20   114
>
> I have tried
> a <- list(x,y)
> as.data.frame(t(sapply(a, rbind)))
> lapply(a, function(x) matrix(unlist(x), nrow = length(x), byrow = TRUE))
> but I don't know how to fix it.
>
> Regards, Muhammad Subianto

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Re: [R] Merge list to list - as list

2006-09-03 Thread Muhammad Subianto
Dear all,
Many thanks to Gabor Grothendieck and Jim Holtman, both of you always
reply (to answer) my problems.

Regards, Muhammad Subianto


##Gabor Grothendieck
If z is the result then z[[i]] is formed from x[[i]] and y[[i]] using
the previous solution, viz.

z <- list()
z[[1]] <- mapply(cbind, x[[1]], y[[1]], SIMPLIFY = FALSE)
z[[2]] <- mapply(cbind, x[[2]], y[[2]], SIMPLIFY = FALSE)

or with a for loop (which is similar to the code you posted below except
the extraneous j loop is removed since its already incorporated
in the mapply):

z <- list()
for(i in seq(along = x))
   z[[i]] <- mapply(cbind, x[[1]], y[[1]], SIMPLIFY = FALSE)

or reducing the loop to a lapply:

lapply(seq(along = x), function(i) mapply(cbind, x[[i]], y[[i]],
SIMPLIFY = FALSE))

## Gabor Grothendieck
cbind2 <- function(x, y) {
   if (is.list(x))
  mapply(cbind2, x, y, SIMPLIFY = FALSE)
   else
  cbind(x,y)
}

x <- list(list(matrix(1:20, 5, 4),matrix(1:20, 5, 4)),
 list(matrix(1:20, 5, 4),matrix(1:20, 5, 4)))
y <- list(list(c(1, -1, -1, 1, 1),c(1, 1, -1, -1, -1)),
 list(c(1, 1, 1, 1, 1),c(1, 1, -1, 1, -1)))
cbind2(x,y)
cbind2(x[[1]], y[[1]])
cbind2(x[[1]][[1]], y[[1]][[1]])

## Jim Holtman
list.uni <- vector("list", length(x))
for (i in 1:length(x)) {
for (j in 1:length(x[[1]])) {
 list.uni[[i]][[j]] <- cbind(x[[i]][[j]],y[[i]][[j]])
}
}
list.uni


On 9/3/06, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
> Dear all,
> #Last week, I asked about merge x and y as list.
> #Now I have a dataset with list of list like:
> x <- list(list(matrix(1:20, 5, 4),matrix(1:20, 5, 4)),
>   list(matrix(1:20, 5, 4),matrix(1:20, 5, 4)))
> y <- list(list(c(1, -1, -1, 1, 1),c(1, 1, -1, -1, -1)),
>   list(c(1, 1, 1, 1, 1),c(1, 1, -1, 1, -1)))
> x
> y
>
> #I need merge x and y, I have tried with
> list.uni <- vector("list", length(x))
> for (i in 1:length(x)) {
>  for (j in 1:length(x[[1]])) {
>   list.uni[[i]][[j]] <- mapply(cbind,
>x[[i]][[j]],
>y[[i]][[j]],
>SIMPLIFY=FALSE)
>  }
> }
> list.uni
>
> I have learn about ?lapply, ?sapply and ?mapply but I still didn't
> understand how to use it.
> I need the result something like
>
>
> [[1]]
> [[1]][[1]]
>  [,1] [,2] [,3] [,4] [5]
> [1,]16   11   16  1
> [2,]27   12   17  -1
> [3,]38   13   18  -1
> [4,]49   14   19  1
> [5,]5   10   15   20  1
>
> [[1]][[2]]
>  [,1] [,2] [,3] [,4] [5]
> [1,]16   11   16  1
> [2,]27   12   17  1
> [3,]38   13   18  -1
> [4,]49   14   19  -1
> [5,]5   10   15   20  -1
>
>
> [[2]]
> [[2]][[1]]
>  [,1] [,2] [,3] [,4] [5]
> [1,]16   11   16  1
> [2,]27   12   17  1
> [3,]38   13   18  1
> [4,]49   14   19  1
> [5,]5   10   15   20  1
>
> [[2]][[2]]
>  [,1] [,2] [,3] [,4] [5]
> [1,]16   11   16  1
> [2,]27   12   17  1
> [3,]38   13   18  -1
> [4,]49   14   19  1
> [5,]5   10   15   20  -1
>
> Thanks you for any help.
> Best wishes, Muhammad Subianto
>
>
>
>
> #Gabor Grothendieck ggrothendieck at gmail.com
> #Mon Aug 28 13:53:52 CEST 2006
>
> Here are two ways:
>
> 1. use indexes:
>
> lapply(seq(along = x), function(i) cbind(x[[i]], y[[i]]))
>
> 2. use mapply:
>
> mapply(cbind, x, y, SIMPLIFY = FALSE)
>
>
> On 8/28/06, Muhammad Subianto  wrote:
> > Dear all,
> >
> > I have dataset
> > x <- list(matrix(1:20, 5, 4),matrix(1:20, 5, 4),matrix(1:20, 5, 4))
> > y <- list(matrix(110:114, 5, 1),matrix(110:114, 5, 1),matrix(110:114, 5, 1))
> >
> > I need merge x and y as list (y put in last column).
> > The result is something like
> >
> > [[1]]
> > [,1] [,2] [,3] [,4]  [,5]
> > [1,]16   11   16   110
> > [2,]27   12   17   111
> > [3,]38   13   18   112
> > [4,]49   14   19   113
> > [5,]5   10   15   20   114
> >
> > [[2]]
> > [,1] [,2] [,3] [,4]  [,5]
> > [1,]16   11   16   110
> > [2,]27   12   17   111
> > [3,]38   13   18   112
> > [4,]49   14   19   113
> > [5,]5   10   15   20   114
> >
> > [[3]]
> > [,1] [,2] [,3] [,4]  [,5]
> > [1,]16   11   16   110
> > [2,]27   12   17   111
> > [3,]38   13   18   112
> > [4,]49   14   19   113
> > [5,]5   10   15   20   114
> >
> > I have tried
> > a <- list(x,y)
> > as.data.frame(t(sapply(a, rbind)))
> > lapply(a, function(x) matrix(unlist(x), nrow = length(x), byrow = TRUE))
> > but I don't know how to fix it.
> >
> > Regards, Muhammad Subianto
>

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[R] load file RData which store in zip file

2006-03-29 Thread Muhammad Subianto
Dear R users,
My situation:
(1) I have limited workspace for my work harddisk (about 10 GiB).
(2) I have a lot of data files in R workspace (*.RData) which most of
them > 200 MiB. For some reason I zip some of them, for instance
"filename.RData (250 MiB)" to "filename.zip (3MiB)". In this work I
have a lot of more space of my harddisk.

Normally, If I want to use "filename.RData" for my experiment, I can
do it with load("filename.RData").

Then I tried to open/load

> load("filename.zip")
Error: bad restore file magic number (file may be corrupted) -- no data loaded
>

My question:
How can I open/load "filename.zip"? Is there any function to open R
workspace which it store in zip file? I hope some one can give me
advices.


Best, Muhammad Subianto

> version
 _
platform i386-pc-mingw32
arch i386
os   mingw32
system   i386, mingw32
status
major2
minor2.1
year 2005
month12
day  20
svn rev  36812
language R
>

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Re: [R] load file RData which store in zip file

2006-03-29 Thread Muhammad Subianto
I apologize for my lack of  knowledge.
Thank you very much for the suggestions.
These are exactly what I was looking for.

> ?zip.file.extract
Help for 'zip.file.extract' is shown in the browser

Maybe I must re-run and re-save again to compress my R workspace.

> ?save.image
Help for 'save.image' is shown in the browser

Regards, Muhammad Subianto


On 3/29/06, Philipp Pagel <[EMAIL PROTECTED]> wrote:
> On Wed, Mar 29, 2006 at 11:44:03AM +0200, Muhammad Subianto wrote:
> > How can I open/load "filename.zip"? Is there any function to open R
> > workspace which it store in zip file?
>
> I think you have two options:
>
> 1) use zip.file.extract() to unzip the file before loading
>
> 2) save your data with save.image(file="foo.RData", compress = True)
>
> cu
> Philipp
>
> --
> Dr. Philipp PagelTel.  +49-8161-71 2131
> Dept. of Genome Oriented Bioinformatics  Fax.  +49-8161-71 2186
> Technical University of Munich
> Science Center Weihenstephan
> 85350 Freising, Germany
>
>  and
>
> Institute for Bioinformatics / MIPS  Tel.  +49-89-3187 3675
> GSF - National Research Center   Fax.  +49-89-3187 3585
>   for Environment and Health
> Ingolstädter Landstrasse 1
> 85764 Neuherberg, Germany
> http://mips.gsf.de/staff/pagel
>

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[R] convert a data frame to matrix - changed column name

2006-04-06 Thread Muhammad Subianto
I have a question, which very easy to solve, but I can't find a solution.
I want to convert a data frame to matrix. Here my toy example:

> L3 <- c(1:3)
> L10 <- c(1:6)
> d <- data.frame(cbind(x=c(10,20), y=L10), fac=sample(L3, + 6, repl=TRUE))
> d
   x y fac
1 10 1   1
2 20 2   1
3 10 3   1
4 20 4   3
5 10 5   2
6 20 6   2
> is.data.frame(d)
[1] TRUE
> sapply(d, function(x) unlist(x, use.names=FALSE))
  x y fac
[1,] 10 1   1
[2,] 20 2   1
[3,] 10 3   1
[4,] 20 4   3
[5,] 10 5   2
[6,] 20 6   2
> is.matrix(sapply(d, function(x) unlist(x, use.names=FALSE)))
[1] TRUE
>

Yes, I get a matrix TRUE. But I need to change a column name like [,1]
[,2] [,3]. I need the result like

 [,1] [,2] [,3]
[1,]   1011
[2,]   2021
[3,]   1031
[4,]   2043
[5,]   1052
[6,]   2062

How can I do that?
Thanks in advance, Muhammad Subianto

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Re: [R] convert a data frame to matrix - changed column name

2006-04-06 Thread Muhammad Subianto
On this day 06/04/2006 16:22, Robin Hankin wrote:
> Hi
>
> set the column names to NULL:
>
>
> > a <- data.frame(x=1:4,y=4:1)
> > aa <- as.matrix(a)
> > colnames(aa) <- NULL
> > aa

On this day 06/04/2006 16:28, Dimitris Rizopoulos wrote:
> try the following:
>
> out <- data.matrix(d)
> dimnames(out) <- NULL
> out


Thank you very much for your help.
Best, Muhammad Subianto



On 4/6/06, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
> I have a question, which very easy to solve, but I can't find a solution.
> I want to convert a data frame to matrix. Here my toy example:
>
> > L3 <- c(1:3)
> > L10 <- c(1:6)
> > d <- data.frame(cbind(x=c(10,20), y=L10), fac=sample(L3, + 6, repl=TRUE))
> > d
>x y fac
> 1 10 1   1
> 2 20 2   1
> 3 10 3   1
> 4 20 4   3
> 5 10 5   2
> 6 20 6   2
> > is.data.frame(d)
> [1] TRUE
> > sapply(d, function(x) unlist(x, use.names=FALSE))
>   x y fac
> [1,] 10 1   1
> [2,] 20 2   1
> [3,] 10 3   1
> [4,] 20 4   3
> [5,] 10 5   2
> [6,] 20 6   2
> > is.matrix(sapply(d, function(x) unlist(x, use.names=FALSE)))
> [1] TRUE
> >
>
> Yes, I get a matrix TRUE. But I need to change a column name like [,1]
> [,2] [,3]. I need the result like
>
>  [,1] [,2] [,3]
> [1,]   1011
> [2,]   2021
> [3,]   1031
> [4,]   2043
> [5,]   1052
> [6,]   2062
>
> How can I do that?
> Thanks in advance, Muhammad Subianto
>

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[R] About list to list

2006-04-11 Thread Muhammad Subianto
Dear all,
I have a result my experiment like this below (here my toy example):

foo1 <- list()
foo1[[1]] <- c(10, 20, 30)
foo1[[2]] <- c(11, 21, 31)

foo2 <- list()
foo2[[1]] <- c(100, 200, 300)
foo2[[2]] <- c(110, 210, 310)

foo3 <- list()
foo3[[1]] <- c(1000, 2000, 3000)
foo3[[2]] <- c(1100, 2100, 3100)

list(foo1,foo2,foo3)

The result:
> list(foo1,foo2,foo3)
[[1]]
[[1]][[1]]
[1] 10 20 30

[[1]][[2]]
[1] 11 21 31

[[2]]
[[2]][[1]]
[1] 100 200 300

[[2]][[2]]
[1] 110 210 310

[[3]]
[[3]][[1]]
[1] 1000 2000 3000

[[3]][[2]]
[1] 1100 2100 3100

>
I want to convert like this below (as list).

[[1]]
[1] 10 20 30
[2] 11 21 31

[[2]]
[1] 100 200 300
[2] 110 210 310

[[3]]
[1] 1000 2000 3000
[2] 1100 2100 3100

I saw on the R-help archives page similar like this but I can't find a
solution.
http://tolstoy.newcastle.edu.au/R/help/05/05/4678.html
Thanks very much for any suggestions.

Sincerely, Muhammad Subianto

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Re: [R] About list to list - thanks

2006-04-11 Thread Muhammad Subianto
Thank you very much for your useful suggestions.
These are exactly what I was looking for.

foo <- list(foo1, foo2, foo3)
lapply(foo, function(x) matrix(unlist(x), nrow = length(x), byrow = TRUE))
or
lapply(foo, function(x) do.call('rbind', x))

Best, Muhammad Subianto

On 4/11/06, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
> Dear all,
> I have a result my experiment like this below (here my toy example):
>
> foo1 <- list()
> foo1[[1]] <- c(10, 20, 30)
> foo1[[2]] <- c(11, 21, 31)
>
> foo2 <- list()
> foo2[[1]] <- c(100, 200, 300)
> foo2[[2]] <- c(110, 210, 310)
>
> foo3 <- list()
> foo3[[1]] <- c(1000, 2000, 3000)
> foo3[[2]] <- c(1100, 2100, 3100)
>
> list(foo1,foo2,foo3)
>
> The result:
> > list(foo1,foo2,foo3)
> [[1]]
> [[1]][[1]]
> [1] 10 20 30
>
> [[1]][[2]]
> [1] 11 21 31
>
> [[2]]
> [[2]][[1]]
> [1] 100 200 300
>
> [[2]][[2]]
> [1] 110 210 310
>
> [[3]]
> [[3]][[1]]
> [1] 1000 2000 3000
>
> [[3]][[2]]
> [1] 1100 2100 3100
>
> >
> I want to convert like this below (as list).
>
> [[1]]
> [1] 10 20 30
> [2] 11 21 31
>
> [[2]]
> [1] 100 200 300
> [2] 110 210 310
>
> [[3]]
> [1] 1000 2000 3000
> [2] 1100 2100 3100
>
> I saw on the R-help archives page similar like this but I can't find a
> solution.
> http://tolstoy.newcastle.edu.au/R/help/05/05/4678.html
> Thanks very much for any suggestions.
>
> Sincerely, Muhammad Subianto
>

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Re: [R] About list to list - thanks

2006-04-11 Thread Muhammad Subianto
Thank you very much for your useful suggestions.
These are exactly what I was looking for.

foo <- list(foo1, foo2, foo3)
lapply(foo, function(x) matrix(unlist(x), nrow = length(x), byrow = TRUE))
or
lapply(foo, function(x) do.call('rbind', x))

Best, Muhammad Subianto

On 4/11/06, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
> Dear all,
> I have a result my experiment like this below (here my toy example):
>
> foo1 <- list()
> foo1[[1]] <- c(10, 20, 30)
> foo1[[2]] <- c(11, 21, 31)
>
> foo2 <- list()
> foo2[[1]] <- c(100, 200, 300)
> foo2[[2]] <- c(110, 210, 310)
>
> foo3 <- list()
> foo3[[1]] <- c(1000, 2000, 3000)
> foo3[[2]] <- c(1100, 2100, 3100)
>
> list(foo1,foo2,foo3)
>
> The result:
> > list(foo1,foo2,foo3)
> [[1]]
> [[1]][[1]]
> [1] 10 20 30
>
> [[1]][[2]]
> [1] 11 21 31
>
> [[2]]
> [[2]][[1]]
> [1] 100 200 300
>
> [[2]][[2]]
> [1] 110 210 310
>
> [[3]]
> [[3]][[1]]
> [1] 1000 2000 3000
>
> [[3]][[2]]
> [1] 1100 2100 3100
>
> >
> I want to convert like this below (as list).
>
> [[1]]
> [1] 10 20 30
> [2] 11 21 31
>
> [[2]]
> [1] 100 200 300
> [2] 110 210 310
>
> [[3]]
> [1] 1000 2000 3000
> [2] 1100 2100 3100
>
> I saw on the R-help archives page similar like this but I can't find a
> solution.
> http://tolstoy.newcastle.edu.au/R/help/05/05/4678.html
> Thanks very much for any suggestions.
>
> Sincerely, Muhammad Subianto
>

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[R] How to convert time to days

2005-10-26 Thread Muhammad Subianto
Dear all,
I have ran a simulation in R.
This simulation was running about at least two days.
Here is below the result some part of my code about time result.
I don't understand about

Start time: Mon Oct 24, 2005  at  04:23:01 PM
 Finish time: Wed Oct 26, 2005  at  03:26:19 PM
Run time: 1.960625 secs.

This is about two seconds or one day and nine hours?
Then, how could I convert to 1 day, 23 hours, ? minutes, ? seconds.
Thanks you very much for any suggestions.

Best wishes, Muhammad Subianto

 > 

 > # Begin of program and timestamp:
 >   cat(format(begin.time <- Sys.time(), "%a %b %d %X %Y") ,"\n")
Mon Oct 24 04:23:01 PM 2005
 >   cat("Start time:", secs <- format(begin.time, "%X"), "\n")
Start time: 04:23:01 PM
 >   cat("Sys.time:", begin.time <- Sys.time(), '\n')
Sys.time: 1130163781
 >
 >  
--- CODE SIMULATION ---
 >
 > # End of program and timestamp:
 >  cat("Sys.time:",end.time <- Sys.time(), '\n')
Sys.time: 1130333179
 >  cat("Run Time:",end.time-begin.time, 'secs.\n\n')
Run Time: 1.960625 secs.

 >  cat("Finish time:", secs <- format(end.time, "%X"), "\n")
Finish time: 03:26:19 PM
 >  cat(format(end.time <- Sys.time(), "%a %b %d %X %Y") ,"\n")
Wed Oct 26 03:26:19 PM 2005
 >
 >  cat("\n",
+  " Start time:", secs  <- format(begin.time, "%a %b %d, %Y  at  
%X"), "\n",
+  "Finish time:", secs <- format(end.time,   "%a %b %d, %Y  at  
%X"), "\n",
+  "   Run time:", end.time-begin.time, 'secs.\n\n')

  Start time: Mon Oct 24, 2005  at  04:23:01 PM
 Finish time: Wed Oct 26, 2005  at  03:26:19 PM
Run time: 1.960625 secs.

 > 
###

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Re: [R] How to convert time to days

2005-10-27 Thread Muhammad Subianto
Thanks to everyone for your help.
Yuup, this is my stupid word "secs" which I put there.
Usually I get to run simulation on my machine only a few seconds.
Now, I recode my timestamp, but still I don't know how to make
x days, x hours, x minutes, x seconds.

Best wishes, Muhammad Subianto

On this day 26/10/2005 10:00 PM, Don MacQueen wrote:
 > The word "secs" appears in "Run time: 1.960625 secs" because you put
 > it there in your cat() statement. It has nothing to do with the
 > number itself.
 >
 > Simply try typing
 >
 > end.time - begin.time
 >
 > at the prompt, and see what you get.
 >
 > Then see
 >?difftime
 > for more information. Example
 > difftime(end.time,begin.time,units='hours')
 >
 > To get the interval formatted as "1 day, 23 hours, x minutes, x
 > seconds" you will have to do more work.
 >
 > -Don
 >
 > At 4:18 PM +0200 10/26/05, Muhammad Subianto wrote:
 >
 >>Dear all,
 >>I have ran a simulation in R.
 >>This simulation was running about at least two days.
 >>Here is below the result some part of my code about time result.
 >>I don't understand about
 >>
 >>Start time: Mon Oct 24, 2005  at  04:23:01 PM
 >> Finish time: Wed Oct 26, 2005  at  03:26:19 PM
 >>Run time: 1.960625 secs.
 >>
 >>This is about two seconds or one day and nine hours?
 >>Then, how could I convert to 1 day, 23 hours, ? minutes, ? seconds.
 >>Thanks you very much for any suggestions.
 >>
 >>Best wishes, Muhammad Subianto
 >>
 >> >
 >>
 >> > # Begin of program and timestamp:
 >> >   cat(format(begin.time <- Sys.time(), "%a %b %d %X %Y") ,"\n")
 >>Mon Oct 24 04:23:01 PM 2005
 >> >   cat("Start time:", secs <- format(begin.time, "%X"), "\n")
 >>Start time: 04:23:01 PM
 >> >   cat("Sys.time:", begin.time <- Sys.time(), '\n')
 >>Sys.time: 1130163781
 >> >
 >> >
 >>--- CODE SIMULATION ---
 >> >
 >> > # End of program and timestamp:
 >> >  cat("Sys.time:",end.time <- Sys.time(), '\n')
 >>Sys.time: 1130333179
 >> >  cat("Run Time:",end.time-begin.time, 'secs.\n\n')
 >>Run Time: 1.960625 secs.
 >>
 >> >  cat("Finish time:", secs <- format(end.time, "%X"), "\n")
 >>Finish time: 03:26:19 PM
 >> >  cat(format(end.time <- Sys.time(), "%a %b %d %X %Y") ,"\n")
 >>Wed Oct 26 03:26:19 PM 2005
 >> >
 >> >  cat("\n",
 >>+  " Start time:", secs  <- format(begin.time, "%a %b %d, %Y  at
 >>%X"), "\n",
 >>+  "Finish time:", secs <- format(end.time,   "%a %b %d, %Y  at
 >>%X"), "\n",
 >>+  "   Run time:", end.time-begin.time, 'secs.\n\n')
 >>
 >>  Start time: Mon Oct 24, 2005  at  04:23:01 PM
 >> Finish time: Wed Oct 26, 2005  at  03:26:19 PM
 >>Run time: 1.960625 secs.
 >>
 >> >
 >>###
 >>
 >>__
 >>R-help@stat.math.ethz.ch mailing list
 >>https://stat.ethz.ch/mailman/listinfo/r-help
 >>PLEASE do read the posting guide! 
http://www.R-project.org/posting-guide.html
 >
 >
 >

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[R] how to make automatically each level from data.frame to vector

2005-11-12 Thread Muhammad Subianto
Dear R-helpers,
Suppose I have dataset like this below:
data(HairEyeColor)
dfHEC <- as.data.frame(as.table(HairEyeColor))
my.dfHEC <- data.frame(Hair=rep(dfHEC$Hair,dfHEC$Freq),
   Eye=rep(dfHEC$Eye,dfHEC$Freq),
   Sex=rep(dfHEC$Sex,dfHEC$Freq))
my.dfHEC
my.dfHEC$Hair
my.dfHEC$Eye
my.dfHEC$Sex

and I know all levels for Hair, Eye and Sex.
In my case, I want to "expand.grid" all attributes but in Hair I only
include "Black" hair:

Hair.e <- c("Black")
Eye.e <- c("Brown","Blue","Hazel","Green")
Sex.e <- c("Male","Female")

#I can do like,
dfHEC.Black <- expand.grid(Hair.e,Eye.e,Sex.e)
dfHEC.Black

My question is how to make automatically each level from data.frame to vector.
I don't want to make definition for each level again (Hair.e, Eye.e, Sex.e).
In the others word, how can I make "expand.grid" (each level) from
data.frame automatically if Hair is only ("Black").
The result I need like,

   Var1  Var2   Var3
1 Black Brown   Male
2 Black  Blue   Male
3 Black Hazel   Male
4 Black Green   Male
5 Black Brown Female
6 Black  Blue Female
7 Black Hazel Female
8 Black Green Female

Thanks in advance.
Best, Muhammad Subianto

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[R] How can I put the object name in list

2005-11-15 Thread Muhammad Subianto
Dear R-helpers,
How can I put the object name in list.

 > Hair <- c("Black","Brown","Red","Blond")
 > Eye <- c("Brown","Blue","Hazel","Green")
 > Sex <- c("Male","Female")
 >
 > HEC.list <- list(Hair,Eye,Sex)
 > HEC.list
[[1]]
[1] "Black" "Brown" "Red"   "Blond"

[[2]]
[1] "Brown" "Blue"  "Hazel" "Green"

[[3]]
[1] "Male"   "Female"
 >

I expect the result like this,

$Hair
[1] "Black" "Brown" "Red"   "Blond"

$Eye
[1] "Brown" "Blue"  "Hazel" "Green"

$Sex
[1] "Male"   "Female"

Best, Muhammad Subianto

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Re: [R] How can I put the object name in list

2005-11-15 Thread Muhammad Subianto
Yes, thanks you very much.
Regards, Muhammad Subianto

 > HEC.list <- list(Hair=Hair,Eye=Eye,Sex=Sex)
 > ?list

On this day 15/11/2005 12:54 PM, Muhammad Subianto wrote:
> Dear R-helpers,
> How can I put the object name in list.
> 
>  > Hair <- c("Black","Brown","Red","Blond")
>  > Eye <- c("Brown","Blue","Hazel","Green")
>  > Sex <- c("Male","Female")
>  >
>  > HEC.list <- list(Hair,Eye,Sex)
>  > HEC.list
> [[1]]
> [1] "Black" "Brown" "Red"   "Blond"
> 
> [[2]]
> [1] "Brown" "Blue"  "Hazel" "Green"
> 
> [[3]]
> [1] "Male"   "Female"
>  >
> 
> I expect the result like this,
> 
> $Hair
> [1] "Black" "Brown" "Red"   "Blond"
> 
> $Eye
> [1] "Brown" "Blue"  "Hazel" "Green"
> 
> $Sex
> [1] "Male"   "Female"
> 
> Best, Muhammad Subianto
> 
> __
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[R] update R packages in local repos

2005-11-16 Thread Muhammad Subianto
I try to update R packages via my local repository.
I put all R packages in g:/myFolder/myRepository, I do like

> library(tools)
> write_PACKAGES("g:/myFolder/myRepository")
> options(repos=c(LocalR="file://g:/myFolder/myRepository"))
> getOption("repos")
   LocalR
"file://g:/myFolder/myRepository"
> update.packages(ask = "graphics")
Error in gzfile(file, "r") : unable to open connection
In addition: Warning message:
cannot open compressed file
':/myFolder/myRepository/bin/windows/contrib/2.2/PACKAGES'
>
> ?update.packages

It produces these file in g:/myFolder/myRepository
PACKAGES
PACKAGES.gz

Could I make this folder (bin/windows/contrib/2.2/)? Why?

Regards, Muhammad Subianto


> version
 _
platform i386-pc-mingw32
arch i386
os   mingw32
system   i386, mingw32
status
major2
minor2.0
year 2005
month10
day  06
svn rev  35749
language R
>

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Re: [R] update R packages in local repos

2005-11-17 Thread Muhammad Subianto
Thanks you.
Now, I can install and update some packages from local repos.
I put all R packages (zip files, using W2K)
in h:/myFolder/myRepository,

library(tools)
write_PACKAGES("h:/myFolder/myRepository")
options(repos=c(LocalR="file:///h:/myFolder/myRepository"))
getOption("repos")
install.packages(lib=.libPaths()[3],
  repos=NULL,
  contriburl="file:///h:/myFolder/myRepository")
instead of
install.packages(choose.files('',filters=Filters[c('zip','All'),]), 
.libPaths()[3], repos = NULL)

where .libPaths()[3] my local library (added in Renviron.site) and 
update with

update.packages(ask="graphics",
 repos=NULL,
 contriburl="file:///h:/myFolder/myRepository")

Best, Muhammad Subianto

Cited:
- R News 5/1
- C:\Program Files\R\R-2.2.0\library\utils\html\update.packages.html

On this day 17/11/2005 08:27 AM, Prof Brian Ripley wrote:
> On Wed, 16 Nov 2005, P Ehlers wrote:
> 
> 
>>This should work:
>>
>>update.packages(ask = "graphics", repos = NULL,
>>contriburl = "file:///g:/myFolder/myRepository"))
> 
> 
> Only if the so-called repository contains (only) binary builds under R 
> 2.2.x of packages for Windows.
> 
> It would be better to set up the 'repository' correctly as a repository. 
> See my article in R-news 5/1 and the R-admin manual for the format of a 
> repository.
> 
> 
>>-peter
>>
>>Muhammad Subianto wrote:
>>
>>>I try to update R packages via my local repository.
>>>I put all R packages in g:/myFolder/myRepository, I do like
> 
> 
> Are these source packages or binary packages or what?
> 
> 
>>>>library(tools)
>>>>write_PACKAGES("g:/myFolder/myRepository")
>>>>options(repos=c(LocalR="file://g:/myFolder/myRepository"))
>>>>getOption("repos")
>>>
>>>   LocalR
>>>"file://g:/myFolder/myRepository"
> 
> 
> Your syntax is incorrect here: Peter has silently corrected it.
> file:// syntax has an element for 'machine' followed by a third slash
> (although 'machine' is not supported in R, so it should be empty).
> 
> 
>>>>update.packages(ask = "graphics")
>>>
>>>Error in gzfile(file, "r") : unable to open connection
>>>In addition: Warning message:
>>>cannot open compressed file
>>>':/myFolder/myRepository/bin/windows/contrib/2.2/PACKAGES'
>>>
>>>
>>>>?update.packages
>>>
>>>
>>>It produces these file in g:/myFolder/myRepository
>>>PACKAGES
>>>PACKAGES.gz
>>>
>>>Could I make this folder (bin/windows/contrib/2.2/)? Why?
> 
>

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[R] Help to find only one class and differennt class

2005-12-20 Thread Muhammad Subianto
Dear R users,
I have a problem, which I can not find a solution.
Probably someone could help me?
I have a result from my classification, like this

> credit.toy
[[1]]
 age married ownhouse income gender class
1  20-30  no   nolow   male  good
2  40-50  no  yes medium female  good

[[2]]
 age married ownhouse income gender class
1  20-30 yes  yes   high   male  poor
2  20-30  no  yes   high   male  good
3  20-30 yes   nolow female  poor
4  60-70 yes  yeslow female  poor
5  60-70  no  yes   high   male  poor

[[3]]
 age married ownhouse income gender class
1  30-40 yes   no   high   male  good
2  20-30  no  yes medium female  good

[[4]]
 age married ownhouse income gender class
1 50-60 yes  yeslow female  poor
2 40-50 yes   no medium   male  poor
3 20-30  no   no   high female  poor

[[5]]
 age married ownhouse income gender class
1 40-50  no  yeslow female  good
2 60-70  no  yes medium   male  poor
3 30-40 yes   no   high female  poor

[[6]]
 age married ownhouse income gender class
1 30-40  no   no medium female  good
2 50-60 yes  yes   high female  good
3 30-40 yes   no   high female  good

> credit.toy[[5]]$class
[1] good poor poor
Levels: good poor
>

How can I count there are only one class and differennt class.
I need the result something like
good class : 1,3,6
poor class : 4
good and poor class : 2,5

Thanks in advance.
Sincerely, Muhammad Subianto

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Re: [R] Help to find only one class and differennt class

2005-12-21 Thread Muhammad Subianto
Thanks to Jim Holtman. This is very usefull to improve my script.
Best, Muhammad Subianto

On this day 20/12/2005 17:19, jim holtman wrote:

>try this:
>
>set.seed(1)
># generate some test data
>x.1 <- data.frame(seg=sample(1:6,20,T), class=sample(c('good',
>'poor'),20,T))
>x.1
>(x.sp <- split(x.1, x.1$seg))
># test each segment for occurance of class.
>lapply(x.sp, function(.seg){
>if (all(.seg$class == 'good')) return('good')
>if (all(.seg$class == 'poor')) return('poor')
>return("good & poor")
>})
>
>
>
>On 12/20/05, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
>  
>
>>Dear R users,
>>I have a problem, which I can not find a solution.
>>Probably someone could help me?
>>I have a result from my classification, like this
>>
>>
>>
>>>credit.toy
>>>  
>>>
>>[[1]]
>>age married ownhouse income gender class
>>1  20-30  no   nolow   male  good
>>2  40-50  no  yes medium female  good
>>
>>[[2]]
>>age married ownhouse income gender class
>>1  20-30 yes  yes   high   male  poor
>>2  20-30  no  yes   high   male  good
>>3  20-30 yes   nolow female  poor
>>4  60-70 yes  yeslow female  poor
>>5  60-70  no  yes   high   male  poor
>>
>>[[3]]
>>age married ownhouse income gender class
>>1  30-40 yes   no   high   male  good
>>2  20-30  no  yes medium female  good
>>
>>[[4]]
>>age married ownhouse income gender class
>>1 50-60 yes  yeslow female  poor
>>2 40-50 yes   no medium   male  poor
>>3 20-30  no   no   high female  poor
>>
>>[[5]]
>>age married ownhouse income gender class
>>1 40-50  no  yeslow female  good
>>2 60-70  no  yes medium   male  poor
>>3 30-40 yes   no   high female  poor
>>
>>[[6]]
>>age married ownhouse income gender class
>>1 30-40  no   no medium female  good
>>2 50-60 yes  yes   high female  good
>>3 30-40 yes   no   high female  good
>>
>>
>>
>>>credit.toy[[5]]$class
>>>  
>>>
>>[1] good poor poor
>>Levels: good poor
>>
>>
>>How can I count there are only one class and differennt class.
>>I need the result something like
>>good class : 1,3,6
>>poor class : 4
>>good and poor class : 2,5
>>
>>Thanks in advance.
>>Sincerely, Muhammad Subianto
>>
>>__
>>R-help@stat.math.ethz.ch mailing list
>>https://stat.ethz.ch/mailman/listinfo/r-help
>>PLEASE do read the posting guide!
>>http://www.R-project.org/posting-guide.html
>>
>>
>>
>
>
>
>--
>Jim Holtman
>Cincinnati, OH
>+1 513 247 0281
>
>What the problem you are trying to solve?
>
>  
>

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[R] How to convert decimals to fractions

2006-01-27 Thread Muhammad Subianto
Dear all,
Are there any functions to convert decimals to fractions in R?
I have the result:
 >   summary(as.factor(complete.ID))
  0 0.0133   0.04
   2256488230
0.0667 0.0933  0.107
   2342310726
  0.133  0.147   0.16
179750163
  0.1870.2  0.227
194180 57
  0.253  0.267  0.293
  1 10 40
   0.32  0.333  0.347
 45 61117
  0.373
 62
 >

How to convert something like this:

  0   1/75   3/75
   2256488230
   5/75   7/75   8/75
   2342310726
  10/75  11/75  12/75
179750163
  14/75  15/75  17/75
194180 57
  19/75  20/75  22/75
  1 10 40
  24/75  25/75  26/75
 45 61117
  28/75
 62

Any suggestions would be appreciated. Thanks you.
Best, Muhammad Subianto
PS.
I found this website: http://www.mindspring.com/~alanh/fracs.html

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Re: [R] How to convert decimals to fractions

2006-01-27 Thread Muhammad Subianto
On this day 27/01/2006 11:51, Berwin A Turlach wrote:
 >> library(MASS)
 >> as.fractions(c(0, 0.0133,   0.04,
 >  0.0667, 0.0933,  0.107,
 >   0.133,  0.147,   0.16,
 >   0.187,0.2,  0.227,
 >   0.253,  0.267,  0.293,
 >0.32,  0.333,  0.347,
 >   0.373))
 >
 >  [1] 0  1/75  1/25  1/15  7/75  8/75  2/15 11/75  4/25 14/75 
1/5 17/75
 > [13] 19/75  4/15 22/75  8/25   1/3 26/75 28/75
 >

On this day 27/01/2006 11:53, Prof Brian Ripley wrote:
> library(MASS)
> ?fractions
> 
> help.search("fractions") gets you there.
> 


Many Thanks to Berwin A Turlach and Prof Brian Ripley for your suggestions.
 > ?fractions
 >
Best regards, Muhammad Subianto

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Re: [R] How to convert decimals to fractions

2006-01-27 Thread Muhammad Subianto
Thanks you for your help.
Best wishes, Muhammad Subianto

On this day 27/01/2006 12:08, Dimitris Rizopoulos wrote:
> if it happens to know the denominator, then a simple approach could 
> be:
> 
> frac.fun <- function(x, den){
> dec <- seq(0, den) / den
> nams <- paste(seq(0, den), den, sep = "/")
> sapply(x, function(y) nams[which.min(abs(y - dec))])
> }
> ###
> frac.fun(c(0, 1, 0.827, .06, 0.266), 75)
> 
> 
> I hope it helps.
> 
> Best,
> Dimitris
> 
> 
> Dimitris Rizopoulos
> Ph.D. Student
> Biostatistical Centre
> School of Public Health
> Catholic University of Leuven
> 
> Address: Kapucijnenvoer 35, Leuven, Belgium
> Tel: +32/(0)16/336899
> Fax: +32/(0)16/337015
> Web: http://www.med.kuleuven.be/biostat/
>  http://www.student.kuleuven.be/~m0390867/dimitris.htm
> 
> 
> - Original Message - 
> From: "Muhammad Subianto" <[EMAIL PROTECTED]>
> To: 
> Sent: Friday, January 27, 2006 11:39 AM
> Subject: [R] How to convert decimals to fractions
> 
> 
>> Dear all,
>> Are there any functions to convert decimals to fractions in R?
>> I have the result:
>>>   summary(as.factor(complete.ID))
>>  0 0.0133   0.04
>>   2256488230
>> 0.0667 0.0933  0.107
>>   2342310726
>>  0.133  0.147   0.16
>>179750163
>>  0.1870.2  0.227
>>194180 57
>>  0.253  0.267  0.293
>>  1 10 40
>>   0.32  0.333  0.347
>> 45 61117
>>  0.373
>> 62
>> How to convert something like this:
>>
>>  0   1/75   3/75
>>   2256488230
>>   5/75   7/75   8/75
>>   2342310726
>>  10/75  11/75  12/75
>>179750163
>>  14/75  15/75  17/75
>>194180 57
>>  19/75      20/75  22/75
>>  1 10 40
>>  24/75  25/75  26/75
>> 45 61117
>>  28/75
>> 62
>>
>> Any suggestions would be appreciated. Thanks you.
>> Best, Muhammad Subianto
>> PS.
>> I found this website: http://www.mindspring.com/~alanh/fracs.html
>>
>> __
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>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide! 
>> http://www.R-project.org/posting-guide.html

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Re: [R] working with fractions

2007-06-21 Thread Muhammad Subianto
Federico Calboli wrote:
> Hi All,
>
> I am writing a fucntion where I would like to use fractions for all the 
> (numerous) passages.
>
> Is there a way of creating an environment *within a fucntion* so that all the 
> numbers/calculations are fractions?
>
> Best,
>
> Fede
>
>
>   
Maybe like this:

 > library(MASS)
 > as.fractions(c(0, 0.15, 0.827, .06, 0.266))
[1] 0  3/20 62/75  1/15  4/15
 >

Regards, Muhammad Subianto

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[R] expand only one of variable

2006-06-08 Thread Muhammad Subianto
Dear all,
I want to expand only one of variable in data frame and the others
variable will be following with the expand variable. Here my toy example:

toy.df <- data.frame(size=c(3,1,2,0,3,5,1,0), group=LETTERS[1:8],

country=c("Germany","England","Argentina","Mexico","Italy","Brazil","France","Spain"),
 w=rep(0,8), d=rep(0,8), l=rep(0,8))
toy.df

The size variable is the number of expand and signed by positive but size
with 0 (zero) must be signed by negative.
The result something like:

  size group   country w d l  sign
 3 A   Germany 0 0 0  positive
 3 A   Germany 0 0 0  positive
 3 A   Germany 0 0 0  positive
 1 B   England 0 0 0  positive
 2 C Argentina 0 0 0  positive
 2 C Argentina 0 0 0  positive
 0 DMexico 0 0 0  negative
 3 E Italy 0 0 0  positive
 3 E Italy 0 0 0  positive
 3 E Italy 0 0 0  positive
 5 FBrazil 0 0 0  positive
 5 FBrazil 0 0 0  positive
 5 FBrazil 0 0 0  positive
 5 FBrazil 0 0 0  positive
 5 FBrazil 0 0 0  positive
 1 GFrance 0 0 0  positive
 0 H Spain 0 0 0  negative

I  would be very happy if anyone could help me.
Thank you very much in advance.

Kindly regards, Muhammad Subianto

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[R] expanded dataset and random number

2006-06-20 Thread Muhammad Subianto
Dear all R-users,
(My apologies if this subject is wrong)
I have dataset:
mydat <- as.data.frame(
 matrix(c(14,0,1,0,1,1,
  25,1,1,0,1,1,
  5,0,0,1,1,0,
  31,1,1,1,1,1,
  10,0,0,0,0,1),
 nrow=5,ncol=6,byrow=TRUE))
dimnames(mydat)[[2]] <-c("size","A","B","C","D","E")
> mydat
  size A B C D E
1   14 0 1 0 1 1
2   25 1 1 0 1 1
35 0 0 1 1 0
4   31 1 1 1 1 1
5   10 0 0 0 0 1
> sum(mydat$size)
[1] 85
>

where size is number of each row that have this combination of variables.
In this dataset I have 85 tuples in expanded dataset.
I want to generate random number between 1 and 85.
Say, if the first random number is 15, so the number 15 is
1 1 0 1 1
then, if the next random number is 7, then
0 1 0 1 1

then if
random number is 79
0 0 0 0 1
random number is 46
1 1 1 1 1
random number is 3
0 1 0 1 1
random number is 28
1 1 0 1 1

So, the result random tuples (order from 6 random number):
0 1 0 1 1
0 1 0 1 1
1 1 0 1 1
1 1 0 1 1
1 1 1 1 1
0 0 0 0 1

I  would be very happy if anyone could help me.
Thank you very much in advance.
Kindly regards,  Muhammad Subianto

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Re: [R] expanded dataset and random number

2006-06-21 Thread Muhammad Subianto
Dear all,
Per Jensen, thanks for your great help. All methods are very useful.

Best, Muhammad Subianto

On this day 20/06/2006 22:28, Per Jensen wrote:

> A couple of suggestions:
>
> #First solution
> mydatexpanded<-mydat[rep(1:5,mydat[,1]),]
>
> sampledat<-mydatexpanded[sample(1:85,7),-1]
>
> #Second solution
>
> sampledat<-mydat[sample(1:5,size=7,prob=mydat[,1]/85,replace=TRUE),-1]
>
> Regards
> Per Jensen
>
> On 6/20/06, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
>
>>
>> Dear all R-users,
>> (My apologies if this subject is wrong)
>> I have dataset:
>> mydat <- as.data.frame(
>>  matrix(c(14,0,1,0,1,1,
>>   25,1,1,0,1,1,
>>   5,0,0,1,1,0,
>>   31,1,1,1,1,1,
>>   10,0,0,0,0,1),
>>  nrow=5,ncol=6,byrow=TRUE))
>> dimnames(mydat)[[2]] <-c("size","A","B","C","D","E")
>> > mydat
>>   size A B C D E
>> 1   14 0 1 0 1 1
>> 2   25 1 1 0 1 1
>> 35 0 0 1 1 0
>> 4   31 1 1 1 1 1
>> 5   10 0 0 0 0 1
>> > sum(mydat$size)
>> [1] 85
>> >
>>
>> where size is number of each row that have this combination of 
>> variables.
>> In this dataset I have 85 tuples in expanded dataset.
>> I want to generate random number between 1 and 85.
>> Say, if the first random number is 15, so the number 15 is
>> 1 1 0 1 1
>> then, if the next random number is 7, then
>> 0 1 0 1 1
>>
>> then if
>> random number is 79
>> 0 0 0 0 1
>> random number is 46
>> 1 1 1 1 1
>> random number is 3
>> 0 1 0 1 1
>> random number is 28
>> 1 1 0 1 1
>>
>> So, the result random tuples (order from 6 random number):
>> 0 1 0 1 1
>> 0 1 0 1 1
>> 1 1 0 1 1
>> 1 1 0 1 1
>> 1 1 1 1 1
>> 0 0 0 0 1
>>
>> I  would be very happy if anyone could help me.
>> Thank you very much in advance.
>> Kindly regards,  Muhammad Subianto
>>
>> __
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>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide!
>> http://www.R-project.org/posting-guide.html
>>
>

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[R] Error install rgl package on linux

2006-07-12 Thread Muhammad Subianto
Dear all,

I tried to install rgl package on my linux machine fc5, I got an error.
Here I run R as user,
$ R

> options(repos=c(CRAN="http://cran.at.r-project.org/";))
> install.packages("rgl", 
> lib="/home/subianto/local/lib/R/library/site-packages", dependencies=TRUE)
trying URL 'http://cran.at.r-project.org/src/contrib/rgl_0.67-2.tar.gz'
Content type 'application/x-tar' length 567592 bytes
opened URL
==
downloaded 554Kb

* Installing *source* package 'rgl' ...
checking for gcc... gcc
checking for C compiler default output file name... a.out
checking whether the C compiler works... yes
checking whether we are cross compiling... no
checking for suffix of executables...
checking for suffix of object files... o
checking whether we are using the GNU C compiler... yes
checking whether gcc accepts -g... yes
checking for gcc option to accept ANSI C... none needed
checking how to run the C preprocessor... gcc -E
checking for X... libraries , headers
checking for libpng-config... yes
configure: using libpng-config
configure: using libpng dynamic linkage
configure: creating ./config.status
config.status: creating src/Makevars
** libs
g++ -I/usr/lib/R/include -I/usr/lib/R/include -I -DHAVE_PNG_H
-I/usr/include/libpng12 -I/usr/local/include   -fpic  -O2 -g -pipe
-Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector
--param=ssp-buffer-size=4 -m32 -march=i386 -mtune=generic
-fasynchronous-unwind-tables -c api.cpp -o api.o
Disposable.hpp:13: warning: 'struct IDisposeListener' has virtual
functions but non-virtual destructor
types.h:77: warning: 'class DestroyHandler' has virtual functions but
non-virtual destructor
gui.hpp:56: warning: 'class gui::WindowImpl' has virtual functions but
non-virtual destructor
gui.hpp:90: warning: 'class gui::GUIFactory' has virtual functions but
non-virtual destructor
pixmap.h:39: warning: 'class PixmapFormat' has virtual functions but
non-virtual destructor



Disposable.hpp:13: warning: 'struct IDisposeListener' has virtual
functions but non-virtual destructor
gui.hpp:56: warning: 'class gui::WindowImpl' has virtual functions but
non-virtual destructor
gui.hpp:90: warning: 'class gui::GUIFactory' has virtual functions but
non-virtual destructor
g++ -shared -L/usr/local/lib -o rgl.so api.o Background.o BBoxDeco.o
Color.o device.o devicemanager.o Disposable.o FaceSet.o fps.o geom.o
gl2ps.o glgui.o gui.o Light.o LineSet.o LineStripSet.o Material.o
math.o osxgui.o osxlib.o par3d.o pixmap.o PointSet.o PrimitiveSet.o
QuadSet.o RenderContext.o render.o rglview.o scene.o select.o Shape.o
SphereMesh.o SphereSet.o SpriteSet.o String.o Surface.o TextSet.o
Texture.o TriangleSet.o types.o Viewpoint.o win32gui.o win32lib.o
x11gui.o x11lib.o -L -lX11 -lXext -lGL -lGLU -L/usr/lib -lpng12
-L/usr/lib/R/lib -lR
/usr/bin/ld: cannot find -lXext
collect2: ld returned 1 exit status
make: *** [rgl.so] Error 1
chmod: cannot access
`/home/subianto/local/lib/R/library/site-packages/rgl/libs/*': No such
file or directory
ERROR: compilation failed for package 'rgl'
** Removing '/home/subianto/local/lib/R/library/site-packages/rgl'

The downloaded packages are in
/tmp/RtmpH3o1qG/downloaded_packages
Warning messages:
1: installation of package 'rgl' had non-zero exit status in:
install.packages("rgl", lib =
"/home/subianto/local/lib/R/library/site-packages",
2: cannot create HTML package index in: tools:::unix.packages.html(.Library)
>

I think the error about missing devel-libraries on my fc5 but I do not
know which libraries are. I apologize for my poor linux knowledge and
expertise. Thank you very much.

Best, Muhammad Subianto


> version
   _
platform   i686-redhat-linux-gnu
arch   i686
os linux-gnu
system i686, linux-gnu
status
major  2
minor  3.1
year   2006
month  06
day01
svn rev38247
language   R
version.string Version 2.3.1 (2006-06-01)
>

$ uname -r
2.6.17-1.2145_FC5

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Re: [R] Error install rgl package on linux

2006-07-12 Thread Muhammad Subianto
On this day 12/07/2006 15:57, Peter Dalgaard wrote:
> "Muhammad Subianto" <[EMAIL PROTECTED]> writes:
>
>
>> QuadSet.o RenderContext.o render.o rglview.o scene.o select.o Shape.o
>> SphereMesh.o SphereSet.o SpriteSet.o String.o Surface.o TextSet.o
>> Texture.o TriangleSet.o types.o Viewpoint.o win32gui.o win32lib.o
>> x11gui.o x11lib.o -L -lX11 -lXext -lGL -lGLU -L/usr/lib -lpng12
>> -L/usr/lib/R/lib -lR
>> /usr/bin/ld: cannot find -lXext
>> collect2: ld returned 1 exit status
>> make: *** [rgl.so] Error 1
>
> ...
>
>> I think the error about missing devel-libraries on my fc5 but I do not
>> know which libraries are. I apologize for my poor linux knowledge and
>> expertise. Thank you very much.
>
> I have
>
> [EMAIL PROTECTED] R]$ locate Xext
> /usr/include/X11/extensions/Xext.h
> /usr/include/X11/extensions/panoramiXext.h
> /usr/lib/libXext.so
> /usr/lib/libXext.so.6
> /usr/lib/libXext.so.6.4.0
> /usr/share/doc/libXext-1.0.0
> .
>
>
> [EMAIL PROTECTED] R]$ rpm -qf `locate Xext`
> xorg-x11-proto-devel-7.0-6
> xorg-x11-proto-devel-7.0-6
> libXext-devel-1.0.0-3.2
> libXext-1.0.0-3.2
> 
>
> In general, if you get an error about a missing -lfoo, installing RPMs
> for libfoo and libfoo-devel is the first thing to try.
>
>
>

Thank you for giving me so much of your time to provide an explanation
of installing RPMs. After I installed "libXext-devel" and then
> options(repos=c(CRAN="http://cran.at.r-project.org/";))
> install.packages("rgl", 
> lib="/home/subianto/local/lib/R/library/site-packages", dependencies=TRUE)

Yes, it works perfectly. Thanks a lot, to Peter Dalgaard.

Sincerely, Muhammad Subianto

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Re: [R] Listing all of combinations

2006-07-14 Thread Muhammad Subianto
On this day 14/07/2006 15:35, miao wrote:
> Dear All:
>
> I want to list all of combination among (a,b,c,d,e,f,g,h). I try to use 
> lp<-ist(A=c(a,b,c,d,e,f,g,h),B=(a,b,c,d,e,f,g,h)etc.).and then use 
> expand.grid(p). this does not work for the same vector A,B...
>
> Anyone had this experince?
>
>
>Thanks!
>
>Xin
>   [[alternative HTML version deleted]]
>
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>

Try this below:

A <- letters[1:8]
B <- letters[1:8]
lp<-list(A,B)
expand.grid(lp)

Best, Muhammad Subianto

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Re: [R] install.packages for local zip files

2006-07-17 Thread Muhammad Subianto
On 7/16/06, Daniel Gatti <[EMAIL PROTECTED]> wrote:
> O/S: Linux
> R version : 2.2.1
>
> The R server doesn't have http internet access.  And the sys admins will
> not install the R libraries that I requested.  So I have downloaded the
> packages that I want to intall and have moved them into my home
> directory on the server.  These are a series of *.tar.gz files.  I want
> to install the R libraries in my home directory, but I can't get it to
> work.  According to the install.packages documentation :
>
> install.packages(pkgs, lib, repos = getOption("repos"),  contriburl =
> contrib.url(repos, type), method, available = NULL, destdir = NULL,
> installWithVers = FALSE, dependencies = FALSE, type = getOption("pkgType"))
>
> repos: character vector, the base URL(s) of the repositories to use,
>i.e.,  Can be 'NULL' to install from local '.tar.gz' files.
>
> contriburl: URL(s) of the contrib section of the repositories. ..
>Can be 'NULL' to install from local '.tar.gz' files.
>
>
>  pkgs: character vector of the short names of packages/bundles whose
>   current versions should be downloaded from the repositories.
>   If 'repos = NULL', a character vector of file paths of
>   '.tar.gz' files.  These can be source archives or binary
>   package/bundle archive files (as created by 'R CMD build
>   --binary'). ..
>
>  lib: character vector giving the library directories where to install
> the packages.  Recycled as needed.
>
> So I have issued a command like this:
>
>  > install.packages(pkgs="~/Rdownloads/hgug4112a_1.12.0.tar.gz", lib =
> "~/Rlib", repos=NULL, contriburl=NULL)
>
> Warning in download.packages(pkgs, destdir = tmpd, available =
> available,  :
>  no package '~/Rdownloads/hgug4112a_1.12.0.tar.gz' at the
> repositories
>
> As far as I can tell, I've given it the full path to the zip file, the
> directory in which to install the library and I've set the repository
> path to 'NULL' to indicate that I'm installing from an already
> downloaded zip file.  But I'm missing something.  Any ideas?
>
> Thanks,
> Dan
>
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>



Put your packages, for example, in directory "/dir/of/pkgs"
library(tools)
write_PACKAGES("/dir/of/pkgs")

and the package will be installed to "/dir/of/R/libs"

install.packages("NameOfPkgs",
 lib="/dir/of/R/libs",
 repos=NULL,
 dependencies=TRUE,
 contriburl="file:dir/of/pkgs")

Best, Muhammad Subianto

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Re: [R] plain shading (not residuals) in mosaic plot

2006-07-19 Thread Muhammad Subianto
Maybe like this:
mosaic(allmorph, direction = "v", pop = FALSE,
gp=gpar(fill=c(grey(0.8),grey(0.4))))

Best, Muhammad Subianto

On 7/19/06, Gabor Grothendieck <[EMAIL PROTECTED]> wrote:
> If you look at ?mosaic the ... argument says it gets passed to strucplot and
> looking at ?strucplot we see it accepts a gp= arg so try this (same
> as your plus gp= arg):
>
> cols <- c(grey(0.8),grey(0.4))
> mosaic(allmorph, direction = "v", pop = FALSE, gp = list(col = cols))
>
> On 7/19/06, Kie Zuraw <[EMAIL PROTECTED]> wrote:
> > Hello. I've been using R for a couple of months and enjoying it a lot.
> > This is my first post to R-help.
> >
> > I'm using the vcd package to make mosaic plots with labels on the tiles
> > indicating the number of items in each cell.
> >
> > For example, I've made this plot:
> >
> >
> > > allmorph<-structure(c(10, 26, 17, 100, 70, 97, 253, 430, 185, 177,
> > > 25, 1), .Dim = as.integer(c(6, 2)), .Dimnames =
> > > structure(list(Stem.initial.obstruent = c("p", "t,s",
> > > "k","b","d","g"),Subst.behavior=c("unsubstituted","substituted")),
> > > .Names = c("Stem-initial obstruent","Behavior according to
> > > dictionary")), class = "table")
> > > mosaic(allmorph,direction="v",pop=FALSE)
> > > labeling_cells(text=allmorphs,margin=0)(allmorph)
> >
> >
> > So far so good. What I can't figure out how to do--after searching
> > through the vcd documentation
> > (http://cran.r-project.org/doc/packages/vcd.pdf), Googling, and
> > checking the r-help archive--is how to shade the tiles according to
> > their values for the variables rather than to reflect residuals. That
> > is, I want all the tiles at the bottom, whose value for the x-axis
> > variable is "substituted", to be dark grey, and those at the top, in
> > the "unsubstituted" category, to be light grey.
> >
> > I know how to do it with mosaicplot():
> >
> > > mosaicplot(morphs3,color=c(grey(0.8),grey(0.4)))
> >
> > ...but this doesn't work with mosaic(): the command
> > "mosaic(morphs3,color=c(grey(0.8),grey(0.4)))" yields a plot with all
> > tiles the same color. And conversely, I can't find a way to use
> > mosaicplot() and add numeric labels to the tiles--without much hope of
> > success, I tried combining mosaicplot() with labeling_cells(), but,
> > unsurprisingly, it didn't work:
> >
> > > mosaicplot(morphs3,color=c(grey(0.8),grey(0.4)),pop=FALSE)
> > Warning message:
> > extra argument(s) 'pop' will be disregarded in:
> > mosaicplot.default(morphs3, color = c(grey(0.8), grey(0.4)),
> > > labeling_cells(text=morphs3,margin=0)(morphs3)
> > Error in downViewport.vpPath(vpPathDirect(name), strict, recording =
> > recording) :Viewport 'cell:Stem-initial obstruent=p,Behavior
> > according to dictionary=unsubstituted' was not found
> >
> >
> > Does anyone know how to get both the shading I want and the labels I
> > want, whether with mosaic(), with mosaicplot(), or in some other way?
> >
> > Thanks for your attention.
> >
> > -Kie Zuraw
> >
> > __
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
> __
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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Re: [R] plain shading (not residuals) in mosaic plot

2006-07-19 Thread Muhammad Subianto
Maybe like this:
mosaic(allmorph, direction = "v", pop = FALSE,
gp=gpar(fill=c(grey(0.8),grey(0.4))))

Best, Muhammad Subianto


On 7/19/06, Gabor Grothendieck <[EMAIL PROTECTED]> wrote:
> If you look at ?mosaic the ... argument says it gets passed to strucplot and
> looking at ?strucplot we see it accepts a gp= arg so try this (same
> as your plus gp= arg):
>
> cols <- c(grey(0.8),grey(0.4))
> mosaic(allmorph, direction = "v", pop = FALSE, gp = list(col = cols))
>
> On 7/19/06, Kie Zuraw <[EMAIL PROTECTED]> wrote:
> > Hello. I've been using R for a couple of months and enjoying it a lot.
> > This is my first post to R-help.
> >
> > I'm using the vcd package to make mosaic plots with labels on the tiles
> > indicating the number of items in each cell.
> >
> > For example, I've made this plot:
> >
> >
> > > allmorph<-structure(c(10, 26, 17, 100, 70, 97, 253, 430, 185, 177,
> > > 25, 1), .Dim = as.integer(c(6, 2)), .Dimnames =
> > > structure(list(Stem.initial.obstruent = c("p", "t,s",
> > > "k","b","d","g"),Subst.behavior=c("unsubstituted","substituted")),
> > > .Names = c("Stem-initial obstruent","Behavior according to
> > > dictionary")), class = "table")
> > > mosaic(allmorph,direction="v",pop=FALSE)
> > > labeling_cells(text=allmorphs,margin=0)(allmorph)
> >
> >
> > So far so good. What I can't figure out how to do--after searching
> > through the vcd documentation
> > (http://cran.r-project.org/doc/packages/vcd.pdf), Googling, and
> > checking the r-help archive--is how to shade the tiles according to
> > their values for the variables rather than to reflect residuals. That
> > is, I want all the tiles at the bottom, whose value for the x-axis
> > variable is "substituted", to be dark grey, and those at the top, in
> > the "unsubstituted" category, to be light grey.
> >
> > I know how to do it with mosaicplot():
> >
> > > mosaicplot(morphs3,color=c(grey(0.8),grey(0.4)))
> >
> > ...but this doesn't work with mosaic(): the command
> > "mosaic(morphs3,color=c(grey(0.8),grey(0.4)))" yields a plot with all
> > tiles the same color. And conversely, I can't find a way to use
> > mosaicplot() and add numeric labels to the tiles--without much hope of
> > success, I tried combining mosaicplot() with labeling_cells(), but,
> > unsurprisingly, it didn't work:
> >
> > > mosaicplot(morphs3,color=c(grey(0.8),grey(0.4)),pop=FALSE)
> > Warning message:
> > extra argument(s) 'pop' will be disregarded in:
> > mosaicplot.default(morphs3, color = c(grey(0.8), grey(0.4)),
> > > labeling_cells(text=morphs3,margin=0)(morphs3)
> > Error in downViewport.vpPath(vpPathDirect(name), strict, recording =
> > recording) :Viewport 'cell:Stem-initial obstruent=p,Behavior
> > according to dictionary=unsubstituted' was not found
> >
> >
> > Does anyone know how to get both the shading I want and the labels I
> > want, whether with mosaic(), with mosaicplot(), or in some other way?
> >
> > Thanks for your attention.
> >
> > -Kie Zuraw
> >
> > __
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
> __
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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[R] convert decimals to fractions - sorted

2006-07-25 Thread Muhammad Subianto
Dear all,
Based on my question a few months ago
https://stat.ethz.ch/pipermail/r-help/2006-January/086952.html
and solved with
https://stat.ethz.ch/pipermail/r-help/2006-January/086955.html
https://stat.ethz.ch/pipermail/r-help/2006-January/086956.html
and from
https://stat.ethz.ch/pipermail/r-help/2006-January/086958.html

frac.fun <- function(x, den){
dec <- seq(0, den) / den
nams <- paste(seq(0, den), den, sep = "/")
sapply(x, function(y) nams[which.min(abs(y - dec))])
}
###
frac.fun(c(0, 1, 0.827, .06, 0.266), 75)

Now, I have a dataset something like this:

a <-"1 0
1 0.095238095238095
1 0.214285714285714
   -1 0.5
1 0.309523809523810
   -1 0.0476190476190476
1 0.404761904761905
1 0.119047619047619
   -1 0.214285714285714
   -1 0.309523809523810
1 0
1 0
1 0.404761904761905
1 0.095238095238095
1 0.047619047619047
1 0.380952380952381
1 0.214285714285714
1 0.523809523809524
1 0
1 0.095238095238095"

First, I make it as fractions and then sorted.
I have played around to make it sort, but it didn't succes.

df <- read.table(textConnection(a))
library(MASS)
as.fractions(as.numeric(df[,2]))
cbind(table(df[,2], df[,1]), summary(as.factor(df[,2])))
table(frac.fun(as.numeric(df[,2]),42), df[,1])
> table(frac.fun(as.numeric(df[,2]),42), df[,1])

-1 1
  0/42   0 4
  13/42  1 1
  16/42  0 1
  17/42  0 2
  21/42  1 0
  22/42  0 1
  2/42   1 1
  4/42   0 3
  5/42   0 1
  9/42   1 2
>

How to make the result as sort (to increase) like this,

-1 1
  0/42   0 4
  2/42   1 1
  4/42   0 3
  5/42   0 1
  9/42   1 2
  13/42  1 1
  16/42  0 1
  17/42  0 2
  21/42  1 0
  22/42  0 1

Thank's for any help.

Best, Muhammad Subianto

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Re: [R] convert decimals to fractions - sorted

2006-07-26 Thread Muhammad Subianto
Dear all,
Thanks for your help.
I played with you suggest and still didn't sort (summary) which I need.

> t(table(at2[sort.order,c(1,3)]))
   V1
jeebee  -1 1
  0  0 4
  11/21  0 1
  1/21 0
  1/21   1 1
  13/42  1 1
  17/42  0 2
  2/21   0 3
  3/14   1 2
  5/42   0 1
  8/21   0 1
>

I need the result summary (order) like,

  -1 1
  0/42   0 4
  2/42   1 1
  4/42   0 3
  5/42   0 1
  9/42   1 2
  13/42  1 1
  16/42  0 1
  17/42  0 2
  21/42  1 0
  22/42  0 1

Thanks very much for any suggestions.
Groeten & Regards, Muhammad Subianto


On 7/26/06, JeeBee <[EMAIL PROTECTED]> wrote:
>
> Hi Muhammad,
>
> How about this?
>
> at <- read.table(textConnection(a))
> at2 <- cbind(at, jeebee=as.character(as.fractions(as.numeric(at[,2]
>
> sort.order <- order(at2$V2)
>
> at2[sort.order,]
> at2[sort.order,c(1,3)]
>
> JeeBee.
>
> __
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

On 7/25/06, Muhammad Subianto <[EMAIL PROTECTED]> wrote:
> Dear all,
> Based on my question a few months ago
> https://stat.ethz.ch/pipermail/r-help/2006-January/086952.html
> and solved with
> https://stat.ethz.ch/pipermail/r-help/2006-January/086955.html
> https://stat.ethz.ch/pipermail/r-help/2006-January/086956.html
> and from
> https://stat.ethz.ch/pipermail/r-help/2006-January/086958.html
>
> frac.fun <- function(x, den){
> dec <- seq(0, den) / den
> nams <- paste(seq(0, den), den, sep = "/")
> sapply(x, function(y) nams[which.min(abs(y - dec))])
> }
> ###
> frac.fun(c(0, 1, 0.827, .06, 0.266), 75)
>
> Now, I have a dataset something like this:
>
> a <-"1 0
> 1 0.095238095238095
> 1 0.214285714285714
>-1 0.5
> 1 0.309523809523810
>-1 0.0476190476190476
> 1 0.404761904761905
> 1 0.119047619047619
>-1 0.214285714285714
>-1 0.309523809523810
> 1 0
> 1 0
> 1 0.404761904761905
> 1 0.095238095238095
> 1 0.047619047619047
> 1 0.380952380952381
> 1 0.214285714285714
> 1 0.523809523809524
> 1 0
> 1 0.095238095238095"
>
> First, I make it as fractions and then sorted.
> I have played around to make it sort, but it didn't succes.
>
> df <- read.table(textConnection(a))
> library(MASS)
> as.fractions(as.numeric(df[,2]))
> cbind(table(df[,2], df[,1]), summary(as.factor(df[,2])))
> table(frac.fun(as.numeric(df[,2]),42), df[,1])
> > table(frac.fun(as.numeric(df[,2]),42), df[,1])
>
> -1 1
>   0/42   0 4
>   13/42  1 1
>   16/42  0 1
>   17/42  0 2
>   21/42  1 0
>   22/42  0 1
>   2/42   1 1
>   4/42   0 3
>   5/42   0 1
>   9/42   1 2
> >
>
> How to make the result as sort (to increase) like this,
>
> -1 1
>   0/42   0 4
>   2/42   1 1
>   4/42   0 3
>   5/42   0 1
>   9/42   1 2
>   13/42  1 1
>   16/42  0 1
>   17/42  0 2
>   21/42  1 0
>   22/42  0 1
>
> Thank's for any help.
>
> Best, Muhammad Subianto
>

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Re: [R] convert decimals to fractions - sorted

2006-07-28 Thread Muhammad Subianto
Dear JeeBee and all,
It is nice. Thanks you very much.
I must learn much more about ?as.fractions, ?as.numeric, ?as.character
and ?table functions.

Best wishes, Muhammad Subianto


On 7/28/06, JeeBee <[EMAIL PROTECTED]> wrote:
>
> Ah I see, I did not read your story well enough.
> You want to sort after applying table()
> Well, the idea I suggested was to keep the real numbers in,
> because the fractions are sorted as characters strings (alphabetically),
> which is not what you want. So, now I suggest the following:
>
> # First apply table()
> tmp1 <- as.data.frame(table(df))
>
> # Note that table() turned your numeric data into factors,
> # this might not be a handy approach, anyways, it is possible I guess.
> # You have to convert back using as.numeric(as.character(tmp1$V2))
> # or, more efficiently, as.numeric(levels(tmp1$V2))[tmp1$V2]
>
> # Add the column with the fractions
> tmp2 <- cbind(tmp1,
> fracs=as.character(as.fractions(as.numeric(as.character(tmp1$V2)
>
> # Finally hide that sort colum if you want
>
> ( tmp2[-2] )
>
> # Everybody happy?
>
> JeeBee
>
> __
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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[R] Take random sample from class variable

2006-08-06 Thread Muhammad Subianto
Dear all,
Suppose I have a dataset like below, then I take for example, 100
random sample "class" variable where contains "yes" and "no"
respectively, 70% and 30%.
I need a new 100 random sample from mydat dataset, but I can't get the result.
Thanks you very much for any helps.
Best, Muhammad Subianto

mydat <- data.frame(size=c(30,12,15,10,12,12,25,30,20,14),
   A=c(0,1,0,1,0,1,1,1,0,0),
   B=c(1,1,0,1,0,1,1,0,0,1),
   C=c(0,0,1,1,0,0,1,1,0,0),
   D=c(1,1,1,1,0,1,0,0,1,1),
   E=c(1,1,0,1,1,1,1,1,1,0),

Class=c("yes","yes","no","yes","yes","no","yes","no","yes","yes"))
mydat
# Maximal data from dataset
max.size <- sum(mydat$size);max.size
# I need sample random
nof.sample <- 100
set.seed(123)
sample.class <- sample(c("yes","no"), nof.sample, prob=c(.7, .3), replace=TRUE)
sample.class
sampledat.class <- mydat[sample.class,]
sampledat.class

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[R] How to find AUC in SVM (kernlab package)

2006-11-24 Thread Muhammad Subianto
Dear all,
I was wondering if someone can help me. I am learning SVM for 
classification in my research with kernlab package. I want to know about 
classification performance using Area Under Curve (AUC). I know ROCR 
package can do this job but I found all example in ROCR package have 
include prediction, for example, ROCR.hiv {ROCR}. My problem is how to 
produce prediction in SVM and to find AUC.

Here is a simple example:

library(MASS)
library(kernlab)
library(ROCR)

pimamodel <- ksvm(type ~ .,data=Pima.tr,type="C-svc",C=10,prob.model=TRUE)
pimamodel
fitted(pimamodel)

pima.pred <- predict(pimamodel, Pima.te[,-8], type="probabilities")
pima.pred

# try to find AUC
#predid.no  <- prediction(pima.pred[,1], Pima.te[,8])
#predid.yes <- prediction(pima.pred[,2], Pima.te[,8])
predid <- prediction(pima.pred, Pima.te[,8])
perfid <- performance(predid,"tpr","fpr")
perfid.auc <- performance(predid,"auc")
perfid.auc

Thank you very much for your help.

Best wishes, Muhammad Subianto

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Re: [R] How to find AUC in SVM (kernlab package)

2006-11-24 Thread Muhammad Subianto
On this day 11/24/2006 05:03 PM, Amir Safari wrote:
> Hi
> you need predict.ksvm() function.
>
Yes, like this is below I do to predict (kernlab package, 
http://www.jstatsoft.org/v11/i09/v11i09.pdf):
pima.pred <- predict(pimamodel, Pima.te[,-8], type="probabilities")
pima.pred

My problems is how to find AUC (with ROCR package, or other ROC 
functions) from predict above.

Regards, Muhammad Subianto

> for more information see The kernlab package here:
>  http://lib.stat.cmu.edu/R/CRAN/doc/packages/kernlab.pdf
>
> cheers,
> Amir
>
>
> */Muhammad Subianto <[EMAIL PROTECTED]>/* wrote:
>
> Dear all,
> I was wondering if someone can help me. I am learning SVM for
> classification in my research with kernlab package. I want to know
> about
> classification performance using Area Under Curve (AUC). I know ROCR
> package can do this job but I found all example in ROCR package have
> include prediction, for example, ROCR.hiv {ROCR}. My problem is
> how to
> produce prediction in SVM and to find AUC.
>
> Here is a simple example:
>
> library(MASS)
> library(kernlab)
> library(ROCR)
>
> pimamodel <- ksvm(type ~
> .,data=Pima.tr,type="C-svc",C=10,prob.model=TRUE)
> pimamodel
> fitted(pimamodel)
>
> pima.pred <- predict(pimamodel, Pima.te[,-8], type="probabilities")
> pima.pred
>
> # try to find AUC
> #predid.no <- prediction(pima.pred[,1], Pima.te[,8])
> #predid.yes <- prediction(pima.pred[,2], Pima.te[,8])
> predid <- prediction(pima.pred, Pima.te[,8])
> perfid <- performance(predid,"tpr","fpr")
> perfid.auc <- performance(predid,"auc")
> perfid.auc
>
> Thank you very much for your help.
>
> Best wishes, Muhammad Subianto
>
> __
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
> 
> Cheap Talk? Check out 
> <http://us.rd.yahoo.com/mail_us/taglines/postman8/*http://us.rd.yahoo.com/evt=39663/*http://voice.yahoo.com>
>  
> Yahoo! Messenger's low PC-to-Phone call rates.

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[R] Make many barplot into one plot

2006-12-01 Thread Muhammad Subianto
Dear all,
## I have 4 tables like this:

satu  <- array(c(5,15,20,68,29,54,84,119), dim=c(2,4),
   dimnames=list(c("Negative", "Positive"), c("Black", 
"Brown", "Red", "Blond")))
dua   <- array(c(50,105,30,8,29,25,84,9), dim=c(2,4),
   dimnames=list(c("Negative", "Positive"), c("Black", 
"Brown", "Red", "Blond")))
tiga  <- array(c(9,16,26,68,12,4,84,12), dim=c(2,4),
   dimnames=list(c("Negative", "Positive"), c("Black", 
"Brown", "Red", "Blond")))
empat <- array(c(25,13,50,78,19,34,84,101), dim=c(2,4),
   dimnames=list(c("Negative", "Positive"), c("Black", 
"Brown", "Red", "Blond")))

## with barplot I can make a plot for each table:

barplot(satu, beside=TRUE, legend.text=rownames(satu),
ylim = c(0, max(colSums(satu)) * 1.2))
x11()
barplot(dua, beside=TRUE, legend.text=rownames(dua),
ylim = c(0, max(colSums(dua)) * 1.2))
x11()
barplot(tiga, beside=TRUE, legend.text=rownames(tiga),
ylim = c(0, max(colSums(tiga)) * 1.2))
x11()
barplot(empat, beside=TRUE, legend.text=rownames(empat),
ylim = c(0, max(colSums(empat)) * 1.2))

## I can make all barplot above into one plot with

x11(width=11,height=8)
## Make a plot with 2 rows and 2 columns
oldpar <- par(mfrow=c(2,2),
   barplot(above)
par(oldpar)

## Are there any functions to make all barplot above into one plot?
## I would like to produce barplot like:

|   |   |   |
|   |   |   |   |   |   |   |   |   |   |   |   |   |
|pos|neg|pos|neg|pos|neg|pos|neg|   |pos|neg|pos|neg| ...
|   |   |   |   |   |   |   |   |   |   |   |   |   |
-   
  satu dua tiga   empatsatudua ...
  black blond

I would be grateful if anybody could help me.
Thank you very much.

Muhammad Subianto

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