I generally work in SAS but have some graphics features I would like to
run in r. I would like to do this 'automatically' from SAS.
I'm thinking of something along the lines of putting the r code in a text
file and calling system of x on it; r would expect the data in a certain place,
and my S
On Fri, 8 Apr 2005, Donald Ingram wrote:
Date: Fri, 8 Apr 2005 00:12:47 +0100
From: Donald Ingram <[EMAIL PROTECTED]>
To: r-help@stat.math.ethz.ch
Subject: Re: [R] off-topic question: Latex and R in industries
Hi Bert and Jonathan,
When I want a quality report - I write it with pdfLaTeX ( TexShop o
This may not be the best way but in the past I think I have done something like
levels(x) <- paste(strwrap(levels(x),20,prefix = ""),collapse = "\n")
Tom
> -Original Message-
> From: Jan P. Smit [mailto:[EMAIL PROTECTED]
> Sent: Thursday, 14 April 2005 11:48 AM
> To: r-help@stat.math.eth
Hello everyone, Recently, I have encountered a problem about estimation
of binary response model,as I try to estimate the survival probability
of firms. I do not want to use the traditional binary respose models,
such as Probit model or Logit model, since they are too restricted in
their functi
I am using barplot, and barplot2 in the gregmisc bundle, in the
following way:
barplot2(sort(xtabs(expend / 1000 ~ theme)),
col = c(mdg7, mdg8, mdg3, mdg1), horiz = T, las = 1,
xlab = "$ '000", plot.grid = T)
The problem is that the values of 'theme', which is a factor, are in
some cases
On Wed, 2005-04-13 at 21:09 -0500, Chris Bergstresser wrote:
> Hi all --
>
> Quick (I hope) question: I've got a correlation matrix. Is there a
> quick way to find all the row/column names for those correlations higher
> than some value, like 0.4?
> x <- matrix(runif(50), nrow=10)
> which(
On Wed, 2005-04-13 at 21:09 -0500, Chris Bergstresser wrote:
> Hi all --
>
> Quick (I hope) question: I've got a correlation matrix. Is there a
> quick way to find all the row/column names for those correlations higher
> than some value, like 0.4?
> mat <- cor(matrix(rnorm(100), ncol = 5))
Hi all --
Quick (I hope) question: I've got a correlation matrix. Is there a
quick way to find all the row/column names for those correlations higher
than some value, like 0.4?
-- Chris
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/
I'd just like to thank everyone who wrote in in response to my
questions -- it's been greatly helpful, and appreciated.
Jonathan Baron wrote:
On 04/13/05 11:36, Chris Bergstresser wrote:
First, I didn't see a function in R which does normalization -- did
I miss it? What's the best way t
Dear ALL-R helpers,
I want to let R get vector from c ,for example :numeric array ,vector .I saw
some exmple like this :
/* useCall3.c*/
/* Getting an integer vector from C using .Call */
#include
#include
SEXP setInt() {
SEXP myint;
int *p_myint;
int
On 4/13/05, Vivek Rao <[EMAIL PROTECTED]> wrote:
> I want R to stop running a script (after printing an
> error message) when an array subscript larger than the
> length of the array is used, for example
>
> x = c(1)
> print(x[2])
>
> rather than printing NA, since trying to access such
> an elem
On Wed, 2005-04-13 at 20:56 -0400, Yoko Nakajima wrote:
> Hello,
> my question is about the data handling.
>
> I have a data set that is lined as:
>
> 4 1 17 1 1
> -5.1536 -0.1668 -2.3412 -0.5062 0.9621 0.3640 0.3678 -0.5081
> -0.2227
> 0.8142 -0.0389 -0.0445 -0.0578 -0.1175 -0.1232 0.8673
Dear Yoko,
If you're sure that the data are complete, then data <-
matrix(scan("file-name"), ncol=29) should do the trick. Then to name the
columns of the data matrix, colnames(data) <- c("one", "two", etc.). [Of
course, you'd substitute meaningful names.]
I hope this helps,
John
--
Hello,
my question is about the data handling.
I have a data set that is lined as:
4 1 17 1 1
-5.1536 -0.1668 -2.3412 -0.5062 0.9621 0.3640 0.3678 -0.5081 -0.2227
0.8142 -0.0389 -0.0445 -0.0578 -0.1175 -0.1232 0.8673 -0.1033 -0.0796
-0.0341 -0.1716 -0.1801 -0.7014 0.6578 0.5611
4 1 17 2
> From: Liaw, Andy
>
> > From: Ross Darnell
> >
> > A good point but what is the value of storing a large set of
> > predicted
> > values when the values of the explanatory variables are lost
> > (predicted
> > values of what?). I thought the purpose of objects was that
> they were
> > sel
> From: Ross Darnell
>
> Liaw, Andy wrote:
> > I must respectfully disagree. Why carry extra copies of
> data arround? This
> > is probably OK for small to medium sized data, but
> definitely not for large
> > data.
> >
> > Besides, in your example, it may do different things
> depending on
Dear chip,
The difference is small and is due to computational error.
Your example:
> max(abs(zz[1:10,] - yy[1:10,]))
[1] 2.207080e-05
Tightening the convergence tolerance in multinom() eliminates the
difference:
> options(contrasts=c('contr.treatment','contr.poly'))
> xx<-multinom(Type~Infl+
Fernando Saldanha <[EMAIL PROTECTED]> writes:
> Is there a way in R to get an object whose name is given by a string?
>
> That is, like a function getObject(mystring) such that
>
> getObject('astring')
>
> returns the object astring (assuming it exists)?
?get
___
On Wed, 2005-04-13 at 19:46 -0400, Fernando Saldanha wrote:
> Is there a way in R to get an object whose name is given by a string?
>
> That is, like a function getObject(mystring) such that
>
> getObject('astring')
>
> returns the object astring (assuming it exists)?
>
> Thanks.
Yep. You are
Is there a way in R to get an object whose name is given by a string?
That is, like a function getObject(mystring) such that
getObject('astring')
returns the object astring (assuming it exists)?
Thanks.
FS
__
R-help@stat.math.ethz.ch mailing list
h
Hi,
I found that using different contrasts (e.g.
contr.helmert vs. contr.treatment) will generate
different fitted probabilities from multinomial
logistic regression using multinom(); while the fitted
probabilities from binary logistic regression seem to
be the same. Why is that? and for multinomi
Oops.
The message in the 'stop' should be something more like "numeric index
out of range".
-- Tony Plate
Tony Plate wrote:
One way could be to make a special class with an indexing method that
checks for out-of-bounds numeric indices. Here's an example for vectors:
> setOldClass(c("oobcvec")
One way could be to make a special class with an indexing method that
checks for out-of-bounds numeric indices. Here's an example for vectors:
> setOldClass(c("oobcvec"))
> x <- 1:3
> class(x) <- "oobcvec"
> x
[1] 1 2 3
attr(,"class")
[1] "oobcvec"
> "[.oobcvec" <- function(x, ..., drop=T) {
+
Liaw, Andy wrote:
I must respectfully disagree. Why carry extra copies of data arround? This
is probably OK for small to medium sized data, but definitely not for large
data.
Besides, in your example, it may do different things depending on whether
newdata is supplied: model.matrix is not necess
On Wed, 2005-04-13 at 19:05 -0300, Antonio Olinto wrote:
> Hi,
>
> Iâm trying to make a barplot with the following dataframe, with information
> on
> relative frequency per sediment type (ST) for some species:
>
> Species ST1 ST2 ST3
> SP_A 10 6030
> ...
>
>
> At x-axis are (shoul
As Bert said, redefining functions like "[" is surely inadvisable, because
of possibility of breaking codes that depend on the intended behavior. This
is a language _feature_.
If the problem is indexing beyond array extent, just check for it: Are any
values that are going to be used for indexing
On Wed, 2005-04-13 at 15:03 -0700, Berton Gunter wrote:
> WHOA!
>
> Do not redefine R functions (especially "[" !) in this way! That's what R
> classes and methods (either S3 or S4) are for. Same applies to print
> methods. See the appropriate sections of the R language definition and the
> book S
Hi,
Im trying to make a barplot with the following dataframe, with information on
relative frequency per sediment type (ST) for some species:
Species ST1 ST2 ST3
SP_A 10 6030
...
At x-axis are (should be ...) the species names and at y-axis the frequency per
sediment, in stacked b
WHOA!
Do not redefine R functions (especially "[" !) in this way! That's what R
classes and methods (either S3 or S4) are for. Same applies to print
methods. See the appropriate sections of the R language definition and the
book S PROGRAMMING by V&R.
Please do not offer "advice" of this sort if y
Hi,
You could try redefining "[", so that if any element subsetted
returned an NA, it would throw an error, e.g.:
(Warning: Largely untested! - this will almost certainly cause
problems in other classes that use [ to subset. Possibly defining
this as "[.default" would be better...)
"[" <- funct
Thanks to Rich, Douglas and Erin. Off course the problem was the index! I
was looking at the wrong place!! Thanks for your help!
Francisco
From: Rich FitzJohn <[EMAIL PROTECTED]>
Reply-To: Rich FitzJohn <[EMAIL PROTECTED]>
To: "Francisco J. Zagmutt" <[EMAIL PROTECTED]>
CC: R-help@stat.math.ethz
The for loop is not ignoring the zero at all, but the assignment is,
since R indexes starting at 1, not zero.
> sim <- c()
> sim[0] <- 1
> sim
numeric(0)
To run this loop this way, you need to add one to the index:
for ( i in 0:5 )
sim[i+1] <- dbinom(i, 5, p)
However, you'd be better off passi
I want R to stop running a script (after printing an
error message) when an array subscript larger than the
length of the array is used, for example
x = c(1)
print(x[2])
rather than printing NA, since trying to access such
an element may indicate an error in my program. Is
there a way to get this
Hi all
Is there any reason why the parameter i in a "for" loop ignores a value of
zero? For example
sim=c()
p=.2
for(i in 0:5)
{sim[i]=dbinom(i,5,p)
}
sim
[1] 0.40960 0.20480 0.05120 0.00640 0.00032
In this example the quantile i= 0 was ignored since
dbinom(0,5,p)
[1] 0.32768
The same behaviou
Great! Thank you very much. Looks R has unlimited possibilities.
Regards,
Ashraf
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Peter
Dalgaard
Sent: Wednesday, April 13, 2005 4:11 PM
To: Mohammad A. Chaudhary
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R]
On Wed, 2005-04-13 at 17:42 +0100, Prof Brian Ripley wrote:
> Use the cbind(yes, no) form of specification. Note though that the
> `weights' in a GLM are case weights and not arbitrary downweighting
> factors and aspects of the output (e.g. AIC, anova) depend on this. A
> different implementat
"Mohammad A. Chaudhary" <[EMAIL PROTECTED]> writes:
> I am producing 2X2 correlation matrices by a class variable. I need to
> extract a vector of correlation coefficients only. I am doing that in a
> loop (see below) but I am sure there would be a simpler way. Please
> help!
>
>
>
> > by(d1[,
Is there a R package that can do GRNN?
Thanks.
__
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
Just for the record - this problem concerns Actual drivers for Mac OS
X 10.3 (later OS X versions are not affected). The current temporary
work-around is to install "iODBC Runtime" supplied with the Actual
drivers and compile RODBC as follows (in bash assuming sufficient
privileges):
LIBS=
On 13-Apr-05 Berton Gunter wrote:
> You can't expect statistical procedures to rescue you from
> poor data.
But they can "kiss it better".
(:-x)
Ted.
E-Mail: (Ted Harding) <[EMAIL PROTECTED]>
Fax-to-email: +44 (0)870 094 086
> I *think* (but am not sure) that these guys were actually (politely)
>advertising a commercial package that they're developing. But,
looking >at
>the web page, it seems that this module may be freely available -- >can't
>tell at the moment.
>Ben
The Software for negative binomial mixed mod
the way of scaling, IMHO, really depends on the distribution of each
column in your original files. if each column in your data follows a
normal distrbution, then a standard "normalization" will fit your
requirement.
My previous research in microarray data shows me a simple "linear
standardization
In the summary of the gam object produced by gamm, the "Approximate
significance of smooth terms" appears to be a test of the improvement in fit
over a linear model, rather than a test of the significance of the overall
effect of x on y:
test.gamm<-gamm(y~te(x, bs="cr"), random=list(grp=
Is it possible to set the degrees of freedom for the smooth term in a gamm
to a specfic value?
This can be done using gam in mgcv as follows:
tst.gam<-gam(y~s(x, k=6, fx=T))
However, this doesn't seem to work with gamm:
tst.gamm<-gamm(y~s(x, k=6, fx=TRUE, bs="cr"))
Instead, this r
I am producing 2X2 correlation matrices by a class variable. I need to
extract a vector of correlation coefficients only. I am doing that in a
loop (see below) but I am sure there would be a simpler way. Please
help!
> by(d1[,c(2,3)],d1[,1],cor)
d1[, 1]: 1
c e
c 1.000 0
On Wed, 13 Apr 2005 14:33:25 -0300 (ADT) Rolf Turner wrote:
>
> Bert Gunter wrote:
>
> > You can't expect statistical procedures to rescue you from poor
> > data.
>
> That should ***definitely*** go into the fortune package
> data base!!!
:-) added for the next release.
Z
>
before I know the scale() function, I just do it by coding it myself.
But probably you could find some cool stuffs in dprep library. I've
never tried it anyway.
for missing values, it is way more complex and also depends on the
methodology you are going to use. some methods are more tolerant to
mi
On 04/13/05 11:36, Chris Bergstresser wrote:
Hi all --
I've got a large dataset which consists of a bunch of different
scales, and I'm preparing to perform a cluster analysis. I need to
normalize the data so I can calculate the difference matrix.
First, I didn't see a function in R
Maybe one person can, but I am not sure who is that person.
When I called
starts2 <- apply(arr, 2, start)
I was not asking for the attibutes of the whole matrix.
It rather seems to me that cbind() is the culprit. When it copies the
time series tsa and tsb it seems to reset their start attribu
Bert Gunter wrote:
> You can't expect statistical procedures to rescue you from poor
> data.
That should ***definitely*** go into the fortune package
data base!!!
cheers,
Rolf Turner
I *think* (but am not sure) that these guys were actually (politely)
advertising a commercial package that they're developing. But, looking at
the web page, it seems that this module may be freely available -- can't
tell at the moment.
Ben
On Wed, 13 Apr 2005, Henric Nilsson wrote:
Ben Bo
Martin Maechler wrote:
As others have said, you can use either 'SparseM' or 'Matrix'.
The latter has also good code for sparse matrices, and actually
I know that Doug Bates was going to implement sparse logical
matrices in the next few days.
The old 8-bit assembly language programmer in me baulks
Normalization: ?scale -- or, more usually, an argument in the clustering
function (see package "cluster" where "stand" is the argument in the various
functions. Other packages may have similar capabilties).
Missing Values: A HUGE and COMPLEX issue. One Reference: ANALYSIS OF
INCOMPLETE MULTIVARIA
Hi,
I try to make a binomial analysis using GLMM in a longitudinal data file.
Is correct to use anova(model) to access the significance of the fixed terms?
Thanks
Ronaldo
--
Todos somos iguais perante a lei, mas nao perante os
encarregados de faze-las cumprir.
-- S. Jerzy Lec
--
|> // |
Here is a summary of responses to my original email (see my query at the
bottom). Thank you to Achim Zeileis , Anders Nielsen, Pierre Kleiber and Dave
Fournier who all helped out with advice. I hope that their responses will help
some of you too.
*
Check
On Wed, 13 Apr 2005, Federico Calboli wrote:
I have a problem with weighted logistic regression. I have a number of
SNPs and a case/control scenario, but not all genotypes are as
"guaranteed" as others, so I am using weights to downsample the
importance of individuals whose genotype has been heavi
Hi all --
I've got a large dataset which consists of a bunch of different
scales, and I'm preparing to perform a cluster analysis. I need to
normalize the data so I can calculate the difference matrix.
First, I didn't see a function in R which does normalization -- did
I miss it? What's
On Wed, 13 Apr 2005, Marc Schwartz wrote:
On Wed, 2005-04-13 at 10:51 -0400, George Kelley wrote:
Has anyone tried to create dialog boxes for Windows in R so that one
doesn't have to type in so much information but rather enter it in a
menu-based format. If not, does anyone plan on doing this in th
On Wed, 13 Apr 2005, Fernando Saldanha wrote:
Can someone explain why starts1 and starts2 are diffferent in the example below?
Yes, at least one person can. Actually, anyone who looked could:
arr
Time Series:
Start = 1
End = 3
Frequency = 1
tsa tsb
1 1 NA
2 2 2
3 3 3
Note the times se
Ben Bolker said the following on 2005-04-12 21:40:
This is a little bit tricky (nonlinear, mixed, count data ...) Off the
top of my head, without even looking at the documentation, I think your
best bet for this problem would be to use the weights statement to allow
the variance to be proporti
Milos Zarkovic said the following on 2005-04-12 16:40:
I have recently started using R. For the start I have tried to
repeat examples from Milliken & Johnson "Analysis of
Messy Data - Analysis of Covariance", but I can not replicate
it in R. The example is chocolate chip experiment. Response
varia
> "Mark" == Mark Edmondson-Jones <[EMAIL PROTECTED]>
> on Wed, 13 Apr 2005 15:40:26 +0100 writes:
Mark> 1000x1000 is only indicative. I need to generate
Mark> larger (adjacency) matrices using a variety of models.
Mark> Most are sparse, with a high proportion of zeros and
Hi All,
I have a problem with weighted logistic regression. I have a number of
SNPs and a case/control scenario, but not all genotypes are as
"guaranteed" as others, so I am using weights to downsample the
importance of individuals whose genotype has been heavily "inferred".
My data is quite big
On Wed, 2005-04-13 at 10:51 -0400, George Kelley wrote:
> Has anyone tried to create dialog boxes for Windows in R so that one
> doesn't have to type in so much information but rather enter it in a
> menu-based format. If not, does anyone plan on doing this in the future
> if it's possible?
>
> Th
"Duncan Murdoch" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> [EMAIL PROTECTED] wrote:
> Your problem isn't the NA values, it's the fact that the contour
> functions want a matrix, and you're passing a data.frame. If you use
> as.matrix on it, it converts to character mode, presu
Ted,
Have you tried bringing the eps files directly into Word? The version I am
using (Word 2002 = Word 10.x) can incorporate eps files and even generates
its own previews.
Maybe you don't need to make the conversion at all.
Regards,
...Mike
At 4/13/2005 04:36 AM, you wrote:
On 13-Apr-05 Prof
Many thanks, Doug.
Your explanation was clear and informative. I appreciate your taking the
time.
-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco, CA
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r
Has anyone tried to create dialog boxes for Windows in R so that one
doesn't have to type in so much information but rather enter it in a
menu-based format. If not, does anyone plan on doing this in the future
if it's possible?
Thanks.
George (Kelley)
George A. Kelley, DA, FACSM
Professor & Dir
Dear Uwe,
That install.binaries() was exactly what I needed...
Thanks a lot.
Uwe Ligges a écrit :
Patrick Giraudoux wrote:
Dear Listers,
I am trying to install packages via install.packages() from MacOS
10.3.8. Installing work fine when run from the menu, but the
following command (useful for set
1000x1000 is only indicative. I need to generate larger (adjacency) matrices
using a variety of models.
Most are sparse, with a high proportion of zeros and so SparseM sounds very
promising. I will investigate.
Thanks,
Mark
>>> "Liaw, Andy" <[EMAIL PROTECTED]> 13/04/2005 >>>
> -Origina
> -Original Message-
> From: Uwe Ligges
>
> Mark Edmondson-Jones wrote:
>
> > I'm wanting to perform analysis (e.g. using eigen()) of
> binary matrices - i.e. matrices comprising 0s and 1s.
> >
> > For example:
> >
> > n<-1000
> > test.mat<-matrix(round(runif(n^2)),n,n)
> > eigen(tes
Can someone explain why starts1 and starts2 are diffferent in the example below?
After running this program
a <- c(1:3)
b <- c(2:3)
tsa <- ts(a)
tsb <- ts(b, start = 2)
arr <- cbind(tsa, tsb)
starts1 <- cbind(start(tsa), start(tsb))
starts2 <- apply(arr, 2, start)
I get:
> starts1
[,1] [,2
Hi all,
Has anyone tested for FA in R? I need to seperate out the variance due to
measurement error from variation between individuals (following Palmer &
Strobeck 1986).
Andy Higginson
Animal Behaviour and Ecology Research Group
School of Biology
University of Nottingham
NG7 2RD
U.K.
Th
Berton Gunter wrote:
A question on lme() :
details: nlme() in R 2.1.0 beta or 2.0.1
The data,y, consisted of 82 data value in 5 groups of sizes 3 9 8 28 34
.
I fit a simple one level random effects model by:
myfit <- lme( y~1, rand = ~1|Group)
The REML estimates of between and within Group effe
Peter Dalgaard biostat.ku.dk> writes:
> Derek Eder sdskliniken.se> writes:
>
> > Has anyone out there compiled R for the Umbutu Linux* (neà Debian) v.
> > 5.04 distribution for Intel-type platforms (32 and 64 bit) ?
[...]
>
> Er, U*bun*tu, you mean? I believe you just use the standard Debian
>
Actually n^2 doubles. You could insert as.integer() around the call to
round(runif()), to make the matrix have storage mode "integer", but when you
call "eigen" you need a matrix of doubles anyway, so you're not really
saving space.
If your matrices are large and have mostly zeros, you might bene
Our CEO, Dr. Dan Steinberg, is planning to visit Europe in May. He
would like the opportunity to introduce statisticians (and statistically
minded people) to data mining, data mining applications and to forefront
data mining tools. Our algorithms are probably familiar to many
statisticians (CA
you mean something like this:
matrix(sample(0:1, n*n, TRUE), n, n)
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: +32/16/336899
Fax: +32/16/337015
Web
Mark Edmondson-Jones wrote:
I'm wanting to perform analysis (e.g. using eigen()) of binary matrices - i.e.
matrices comprising 0s and 1s.
For example:
n<-1000
test.mat<-matrix(round(runif(n^2)),n,n)
eigen(test.mat,only.values=T)
Is there a more efficient way of setting up test.mat, as each cell on
i konw the lda and qda in MASS can do discriminant analysis.and lda complete
the Fisher's method.and qda is the Quadratic discriminant analysis.
1,my first question is if qda do the Mahalanobis's method?
2,as some textbook say,when using fisher's method,"we proceed by assuming that
the within-gro
I'm wanting to perform analysis (e.g. using eigen()) of binary matrices - i.e.
matrices comprising 0s and 1s.
For example:
n<-1000
test.mat<-matrix(round(runif(n^2)),n,n)
eigen(test.mat,only.values=T)
Is there a more efficient way of setting up test.mat, as each cell only
requires a binary dig
On Wed, 2005-04-13 at 15:19 +0200, Derek Eder wrote:
> Has anyone out there compiled R for the Umbutu Linux* (neé Debian) v.
> 5.04 distribution for Intel-type platforms (32 and 64 bit) ?
>
> Thank you,
>
> Derek Eder
>
> * Umbutu, a popular new Linux distribution, not a Nigerian scam, I
> promi
Derek Eder <[EMAIL PROTECTED]> writes:
> Has anyone out there compiled R for the Umbutu Linux* (neé Debian) v.
> 5.04 distribution for Intel-type platforms (32 and 64 bit) ?
>
> Thank you,
>
> Derek Eder
Er, U*bun*tu, you mean? I believe you just use the standard Debian
packages and tools like
Derek Eder wrote:
Has anyone out there compiled R for the Umbutu Linux* (neé Debian) v.
5.04 distribution for Intel-type platforms (32 and 64 bit) ?
* Umbutu, a popular new Linux distribution, not a Nigerian scam, I
promise!http://www.ubuntulinux.org/
That's 'Ubuntu'.
If you run the package
When I set up an old weak PC to become a "real workstation" at
home, by installing Ubuntu (spelling!),
I was able to quickly get many debian packages that were not
part of ubuntu proper (including "R-base-dev", "ess") by
outcommenting something like "universe" (forgot the exact name)
in the /etc/ap
> From: Uwe Ligges
>
> Wisz, Mary Susanne wrote:
> > Dear All,
> > Can anyone please tell me where I can obtain uncompiled binary
>
> You mean "compiled", for sure.
>
> > instalation files for R version 1.8. (i.e. rw1080.exe)?
>
> Why do you want an outdated version of R?
>
> Binaries are no
Has anyone out there compiled R for the Umbutu Linux* (neé Debian) v.
5.04 distribution for Intel-type platforms (32 and 64 bit) ?
Thank you,
Derek Eder
* Umbutu, a popular new Linux distribution, not a Nigerian scam, I
promise!http://www.ubuntulinux.org/
--
Derek Eder
SDS KLINIKEN
Vasaplatsen
Patrick Giraudoux wrote:
Dear Listers,
I am trying to install packages via install.packages() from MacOS
10.3.8. Installing work fine when run from the menu, but the following
command (useful for setting up each computer of the student computer
room) leads nowhere for some reasons:
pack<-c("ad
Wisz, Mary Susanne wrote:
Dear All,
Can anyone please tell me where I can obtain uncompiled binary
You mean "compiled", for sure.
instalation files for R version 1.8. (i.e. rw1080.exe)?
Why do you want an outdated version of R?
Binaries are not archived on CRAN. You can either try to compile
you
Dear Listers,
I am trying to install packages via install.packages() from MacOS
10.3.8. Installing work fine when run from the menu, but the following
command (useful for setting up each computer of the student computer
room) leads nowhere for some reasons:
pack<-c("ade4","adehabitat","geoR","
On 13-Apr-05 Prof Brian Ripley wrote:
> On Wed, 13 Apr 2005 [EMAIL PROTECTED] wrote:
>
>> On 13-Apr-05 Prof Brian Ripley wrote:
>>> On Wed, 13 Apr 2005, BORGULYA [iso-8859-2] Gábor wrote:
>>>
Has onyone experience with "pstoedit"
(http://www.pstoedit.net/pstoedit)
to convert e
Dear All,
Can anyone please tell me where I can obtain uncompiled binary
instalation files for R version 1.8. (i.e. rw1080.exe)?
I can only find the uncompiled source code on CRAN today.
Thank you,
Mary Wisz
[EMAIL PROTECTED]
[[alternative HTML version deleted]]
Hai Lin <[EMAIL PROTECTED]> writes:
> Dear R users,
>
> I have a data frame with categorical Vars. "Groups"
> and a couple columns of numeric Vars. I am trying to
> make two-sample t.test on each variable(s01-s03) by
> Groups.
>
> A data generated as following:
>
> zot <- data.frame(Groups=rep
On 4/13/05, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
> On Wed, 13 Apr 2005 [EMAIL PROTECTED] wrote:
>
> > On 13-Apr-05 Prof Brian Ripley wrote:
> >> On Wed, 13 Apr 2005, BORGULYA [iso-8859-2] Gábor wrote:
> >>
> >>>Has onyone experience with "pstoedit"
> >>>(http://www.pstoedit.net/pst
On 4/13/05, Joerg Klausen <[EMAIL PROTECTED]> wrote:
> Hallo everyone
>
> I have two univariate time series (class ts) describing the same variable.
> They have the same resolution, but span different periods in time with a big
> gap in between. I need to append one to the other such that they a
[EMAIL PROTECTED] wrote:
Dear friends,
I am trying to produce Contour Plot with R, but there are some NA
in my data matrix. After I ran the following R script, I got the error
message:"no proper `z' matrix specified". Does anybody know how to plot
contour chart with R for the non-strict
On Wed, 13 Apr 2005 [EMAIL PROTECTED] wrote:
On 13-Apr-05 Prof Brian Ripley wrote:
On Wed, 13 Apr 2005, BORGULYA [iso-8859-2] Gábor wrote:
Has onyone experience with "pstoedit"
(http://www.pstoedit.net/pstoedit)
to convert eps graphs generated by R on Linux to Windows
formats (WMF or EMF)? Do
Dear friends,
I am trying to produce Contour Plot with R, but there are some NA
in my data matrix. After I ran the following R script, I got the error
message:"no proper `z' matrix specified". Does anybody know how to plot
contour chart with R for the non-strict matrix?
Thank y
"Jan T. Kim" <[EMAIL PROTECTED]> writes:
> I don't know what Federico Calboli has in mind, but as for myself, upon
> starting with R, I've been looking for an R language reference in the
> style of the Python reference (http://docs.python.org/ref/ref.html).
> The specification of the grammar and t
I must respectfully disagree. Why carry extra copies of data arround? This
is probably OK for small to medium sized data, but definitely not for large
data.
Besides, in your example, it may do different things depending on whether
newdata is supplied: model.matrix is not necessarily the same as
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