Hi, I need your help, so I send letter to you.
I have a problem about plsr in pls package. I want to show how classfied or
related each ohter samples, so I tried to use plsr and biplot.
But, I failed. Because, I had to change data type of my sample.
Unfortunately, I didn't know
R-experts:
In 2002, Hans Van Houwelingen et al. published a tutorial on how to do
meta-regression in Statistics in Medicine. They used the classic BCG
dataset of Colditz to demonstrate correct methodology and computed the
results using PROC MIXED in SAS. In trying to duplicate the results
Hi Uwe,
thanks a lot for your answer! And thanks a lot to all others helping me with
this issue!
Uwe Ligges schrieb:
Antje wrote:
Hi Uwe,
I tried to explain my problem with the given example.
I don't see any documentation which tells me that the length of
"col.regions" should be one less
Hi,
I am trying to call R in my perl program but is not working. It does not
give an error but my program gets stuck indefinitely.
I am using the following command to call R from Perl
`R BATCH regressExpr.spl temp`;
Any suggestions?
Best,
Daniel F.
[[alternative HTML version deleted]]
On Tue, May 05, 2009 at 09:21:49PM -0400, stephen sefick wrote:
>
> If you would provide a reproducible example I could tinker.
>
The code I posted is real. I attach here the relevant part of the data-set
as CSV.
Best regards,
Zeljko.
"","sp","wg","n","v.realtime"
"9968","GP","1","1",28.924
"
Or somewhat more readibly
selected.data <- subset(data, id %in% selected.id)
Bill Venables
http://www.cmis.csiro.au/bill.venables/
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Kushantha Perera
Sent: Wednesday, 6 May 2009 3:
I also put my 2cents on sqldf :-)
milton
On Wed, May 6, 2009 at 12:30 AM, Wensui Liu wrote:
> take a look at sqldf package(http://code.google.com/p/sqldf/), you
> will be amazed.
>
> On Wed, May 6, 2009 at 12:22 AM, Farrel Buchinsky
> wrote:
> > Is R an appropriate tool for data manipulation a
Try, data[data$id%in%selected.id,]
Good day!
Kushantha
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of abdul kudus
Sent: Wednesday, May 06, 2009 10:12 AM
To: r-help@r-project.org
Subject: [R] subset data
Dear all,
> data <- data.
just a small adjusts...
data[data$id %in% selected.id, ]
--- so elegant! :-)
On Wed, May 6, 2009 at 1:15 AM, milton ruser wrote:
> Like this?
>
>
>
> data<-read.table(stdin(), head=T, sep=",")
> id,x
> 1,0.3604464
> 2,0.4813987
> 3,0.0160058
> 4,0.7165909
> 5,0.6092248
> 6,0.2413049
> 7,0.79815
Like this?
data<-read.table(stdin(), head=T, sep=",")
id,x
1,0.3604464
2,0.4813987
3,0.0160058
4,0.7165909
5,0.6092248
6,0.2413049
7,0.7981568
8,0.6093960
9,0.2887064
10,0.3485780
selected.id <- sample(data$id,3,replace=F)
selected.id
data.subset<-subset(data, id %in% selected.id)
data.subset
data[data$id==selected$id, ]
-
cuncta stricte discussurus
-
-Ursprüngliche Nachricht-
Von: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Im
Auftrag von abdul kudus
Gesendet: Wednesday, May 06, 2009 12:42 AM
An: r-help@
Hi,
Let f(rho) = E[F_1(x) F_2(y)], i.e f(rho) is the expectation of
F(x) * F(y) with respect to the bivariate Gaussian density with mean 0
and covariance matrix [1 rho; rho 1].
Moreover, assume F_1(x) and F_2(y) to be increasing functions of x and y
respectively.
I was wondering if it was true th
Dear all,
> data <- data.frame(id=seq(1:10),x=runif(10))
> data
id x
1 1 0.3604464
2 2 0.4813987
3 3 0.0160058
4 4 0.7165909
5 5 0.6092248
6 6 0.2413049
7 7 0.7981568
8 8 0.6093960
9 9 0.2887064
10 10 0.3485780
> selected.id <- sample(data$id,3,replace=F)
> selected.id
take a look at sqldf package(http://code.google.com/p/sqldf/), you
will be amazed.
On Wed, May 6, 2009 at 12:22 AM, Farrel Buchinsky wrote:
> Is R an appropriate tool for data manipulation and data reshaping and data
> organizing? I think so but someone who recently joined our group thinks not.
>
Is R an appropriate tool for data manipulation and data reshaping and data
organizing? I think so but someone who recently joined our group thinks not.
The new recruit believes that python or another language is a far better
tool for developing data manipulation scripts that can be then used by
sev
I've set up a CRAN-style repository to distribute a single package. The
repository contains several versions of the package, I was hoping that
update.packages pointed at this repository would grab the highest
version number. In fact it returns an error:
Error in available[, "Bundle"] : incor
On 6/05/2009, at 3:00 PM, Brant Inman wrote:
R-experts:
In 2002, Hans Van Houwelingen et al. published a tutorial on how to do
meta-regression in Statistics in Medicine. They used the classic BCG
dataset of Colditz to demonstrate correct methodology and computed the
results using PROC MIXED i
Dear jianghua and all R professor:
I use the suggestion that jianghua gives. But the problem is still there.
Use "summary(m1)" or "summary.gam(m1)" is the same result and it doesn't show
the significance results of parametric terms.
Should I choose another smoother to get significa
On Tue, May 5, 2009 at 3:55 PM, jwg20 wrote:
>
> Thanks for your help! I wasn't sure what the margins variable did, but I'm
> beginning to understand. I'm almost there, but with my data (and with ff_d)
> I tried to margin over two variable names, however it only does one of them.
> So with ff_d I
David Freedman wrote:
Didn't a 2008 paper by Austin in J Clin Epidemiol show that bootstrapping was
just as bad as backward stepwise regression for finding the true predictors?
Yes
Any variable selection without shrinkage is problematic.
Frank
http://xrl.in/26em
Dimitris Rizopoulos-4 wro
Hi Deepayan,
Thanks for the hint. I spent some time on the research but haven't got any luck
in writing the custom panel function for the conditional labeling of points in
a graph. Could you please provide some more thoughts and probably some pseudo
code? Thank you so much for your time!
Best,
Have you tried dbSendQuery() ?
That is, construct an SQL insert statement and use it in dbSendQuery.
Might have to follow it with dbCommit().
You could also use break your data up into smaller pieces and use
dbWriteTable to write it a piece at a time, if really is too much to
do all at once.
print() fixed it. Thank you!
sp
--- On Tue, 5/5/09, Rolf Turner wrote:
> From: Rolf Turner
> Subject: Re: [R] xYplot() produces empty pdf
> To: "to_rent_2...@yahoo.com"
> Cc: "r-help@r-project.org"
> Date: Tuesday, May 5, 2009, 9:26 PM
> On 6/05/2009, at 12:50 PM, x wrote:
>
> >
> > Hi,
On 6/05/2009, at 12:50 PM, x wrote:
Hi,
While xYplot(...) below produces an empty pdf file, plot(...) works
fine. The same xYplot(...) produces correct output if tried
directly in R console. Any suggestions?
RTFFAQ (7.22)
cheers,
Rolf Turner
##
I tried to customize R completion in my .inputrc like this:
$if RCustomCompletion
Control-q: "q(save=\"no\")\n"
$endif
I looked in the R source to find about RCustomCompletion
BUBBA$ grep -r 'rl_readline_name' *
src/unix/sys-std.c:rl_readline_name = "RCustomCompletion"
If you would provide a reproducible example I could tinker.
Stephen Sefick
On Tue, May 5, 2009 at 4:59 PM, Zeljko Vrba wrote:
> I have a following problem:
>
> The call
>
> qplot(wg, v.realtime, data=df.best.medians$gv1, colour=sp, geom="boxplot")
>
> works nice: for each value of the wg factor
Hi,
While xYplot(...) below produces an empty pdf file, plot(...) works fine. The
same xYplot(...) produces correct output if tried directly in R console. Any
suggestions?
Thanks,
sp
# empty pdf
trellis.device("pdf", file="./resid1_lat.pdf");
xYplot(resid(f) ~ fitted(f), method='quantile', nx
On 05/05/2009 6:28 PM, Antonio Lucadamo wrote:
Dear all,
I'm using the ellipse package and I would like to verify if the
confidence region that I build with this package can be equivalent to
an Union Intersection Test. I used different value for the t-statistic
but I can not find the right eq
Didn't a 2008 paper by Austin in J Clin Epidemiol show that bootstrapping was
just as bad as backward stepwise regression for finding the true predictors?
http://xrl.in/26em
Dimitris Rizopoulos-4 wrote:
>
> Greg Snow wrote:
>> There is not a meaningful alternative way since the way you propos
http://cran.r-project.org/web/packages/
On Tue, May 5, 2009 at 8:28 PM, Xao Ping wrote:
> Dear All:
> I am new here. Please, advise how can I reach the R-archives to look through
> the libraries available for download.
>
> Thanks
>
> Xao Ping
> R&R Pharmakinetics
> Taiwan
>
>
>
> [[altern
Dear All:
I am new here. Please, advise how can I reach the R-archives to look through
the libraries available for download.
Thanks
Xao Ping
R&R Pharmakinetics
Taiwan
[[alternative HTML version deleted]]
__
R-help@r-project.org mail
You can read in your data with 'readLines' and then edit out the offending
lines. Here is something that works with the data you posted. You will
have to tailor to your real data and add error checks:
> # read in the data with 'readLines' to get all the lines
x <- readLines('clipboard')
> cat(x,
?diff
> x
ID LENGTH DIFF
1 1 10 NA
2 2 155
3 3 205
4 4 12 -8
5 5 186
> x <- x[,-3]
> x
ID LENGTH
1 1 10
2 2 15
3 3 20
4 4 12
5 5 18
> x$DIFF <- c(NA, diff(x$LENGTH) )
> x
ID LENGTH DIFF
1 1 10 NA
2 2 155
3 3
Dear R-helpers,
I have a dataframe with several columns, one of which is called LENGTH.
I would like to make a new column called DIFF containing the value of
LENGTH minus LENGTH in the previous row, like this:
ID LENGTH DIFF
1 1 10 NA
2 2 155
3 3 205
4 4 12 -8
5
You haven't provided any code so we have no idea what
the problem is. Make sure you have read the troubleshooting
sections on the home page?
http://ryacas.googlecode.com
Here is an example:
> library(Ryacas)
Loading required package: XML
> x <- Sym("x")
> Factor(x^2-1)
[1] "Starting Yacas!"
exp
Isn't it possible to write this as the real part of a fourier
transform? You could then use the fft to calculate it for all the
values of x, all at once. The Madan and Carr paper offers some
pointers on how to do this: http://www.imub.ub.es/events/sssf/vgfrier7.pdf
On May 6, 1:06 am, "Ravi Varad
Hi,
as I find problems with yacas package...
is there any R function equivalent to the yacas function "Factor" ?
the factor function which i found in the R help is not the same.
it doesn't factor an algebraic expression..
thanks
hassan
[[alternative HTML version deleted]]
___
I'm using randomForest in yaImpute to create a yai-type object which
associates "L" with landscape features. Then I use the sp() package to
impute L to a landscape consisting of four ascii files) I keep getting the
message "NA's generated due to illegal level(s)" when I do the imputation.
It's
Dear all,
I'm using the ellipse package and I would like to verify if the
confidence region that I build with this package can be equivalent to
an Union Intersection Test. I used different value for the t-statistic
but I can not find the right equivalence.
Does someone know how to choose the
George Chen schrieb:
Hello,
Could anybody offer any advice about implementing a Kohonen self organizing map
for categorical data? Specifically I am wondering if there are any
pre-existent packages that can deal with categorical data and/or how one would
compare the input vector of categorica
I have a following problem:
The call
qplot(wg, v.realtime, data=df.best.medians$gv1, colour=sp, geom="boxplot")
works nice: for each value of the wg factor I get two box-plots (two levels in
the sp factor) in different colours, side-by-side, centered at the wg x-axis.
However, I want to separat
Thanks for your help! I wasn't sure what the margins variable did, but I'm
beginning to understand. I'm almost there, but with my data (and with ff_d)
I tried to margin over two variable names, however it only does one of them.
So with ff_d I set margins=c("treatment","variable"); however I only e
On Tue, May 5, 2009 at 3:03 PM, jwg20 wrote:
>
> I have a data set that I'm trying to melt and cast in a specific way using
> the reshape package. (I'll use the ff_d dataset from reshape so I don't have
> to post a toy data set here. )
>
> Lets say I'm looking for the interaction of treatment with
Seems to work fine for me on R 2.9.0:
> as.POSIXct("2009/03/26 01:00:00 AM" , format="%Y/%m/%d %I:%M:%S %p" )
[1] "2009-03-26 01:00:00 GMT"
> as.POSIXct("2009/03/26 01:00:00 PM" , format="%Y/%m/%d %I:%M:%S %p" )
[1] "2009-03-26 13:00:00 GMT"
>
On Tue, May 5, 2009 at 2:55 PM, Galkowski, Jan wrot
I have a data set that I'm trying to melt and cast in a specific way using
the reshape package. (I'll use the ff_d dataset from reshape so I don't have
to post a toy data set here. )
Lets say I'm looking for the interaction of treatment with each type of
"variable" in ff_d. Using the command belo
> After I installed R 2.9.0 my XML package cannot load; I get an error
"This
> application has failed to start because iconv.dll was not found.
> Re-installing the application may fix this problem". I already
re-installed
> both but the problem persists. Does anyone know what is going on? I would
I recently came across the same problem reported here:
http://tolstoy.newcastle.edu.au/R/e6/help/09/04/12383.html
The fix was to edit "$R_HOME/etc/Renviron" and change
R_PDFLATEXCMD=${R_PDFLATEXCMD-${PDFLATEX-'/usr/texbin/pdflatex'}}
to
R_PDFLATEXCMD=${R_PDFLATEXCMD-${PDFLATEX-'pdflatex'}}
w
I wanted to put this on the R Wiki, but found the suitable pages were
read-only. I wanted to get it out in public to save people work.
I was converting dates like "2009/03/26 01:00:00 AM" using as.POSIXct. I found
that using a format of "%Y/%m/%d %I:%M:%S %p" did not work correctly to
disti
> If you do write your own, the hardest part will be picking the nice tick
> marks. They should be approximately evenly spaced, but at nice round values
> of the original variable: that's hard to do in general. R has the pretty()
> function for the linear scale, and doesn't do too badly on log a
On 5 May 2009, at 19:28, Duncan Murdoch wrote:
On 5/5/2009 1:05 PM, Markus Loecher wrote:
Dear R users,
while I enjoy the built-in log argument to the plot() function, I
wished it
would be as easy to create more general custom transformed axes
such as
sqrt(), logit, etc...
for example, i
Antje wrote:
Hi Uwe,
I tried to explain my problem with the given example.
I don't see any documentation which tells me that the length of
"col.regions" should be one less than "at". (At least I assume now that
it should be this way...)
If it's equal or longer some colors (in the middle of t
On 5/5/2009 1:05 PM, Markus Loecher wrote:
Dear R users,
while I enjoy the built-in log argument to the plot() function, I wished it
would be as easy to create more general custom transformed axes such as
sqrt(), logit, etc...
for example, instead of
plot(x=exp(rnorm(10)), y=(1:10)^4, log = "xy
Greg Snow-2 wrote:
>
> The sample function has a prob argument that can be used to sample with
> unequal probabilities. It sounds like you can just pass in the species
> abundance vector to prob and it will do what you want.
>
> It might be that my question is even more basic than it sounds:
Dear all,
I have a .dta database which is about 400 MB. I cannot open it though I have
no problem to import smaller ones (80 MB or even 174 MB).
I tried to modify some options with --max-mem-size=2047M --max-vsize=2047M.
But it does not seem to be enough.
I do not know the exact meaning of these
Dear R users,
while I enjoy the built-in log argument to the plot() function, I wished it
would be as easy to create more general custom transformed axes such as
sqrt(), logit, etc...
for example, instead of
plot(x=exp(rnorm(10)), y=(1:10)^4, log = "xy"), sth. along the lines of
plot(x=exp(rnorm
The sample function has a prob argument that can be used to sample with unequal
probabilities. It sounds like you can just pass in the species abundance
vector to prob and it will do what you want.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail
No worries. I've actually switched to using Rgraphviz from bioconductor, and
the results are pretty great (after the initial head-pounding to get it
setup).
Gábor Csárdi-2 wrote:
>
> On Mon, May 4, 2009 at 8:31 PM, jebyrnes wrote:
>>
>> Nearly. The algorithm turns up slightly different graph
Sundar,
Thanks for the assistance.
Much appreciated.
Steve
Steve Friedman Ph. D.
Spatial Statistical Analyst
Everglades and Dry Tortugas National Park
950 N Krome Ave (3rd Floor)
Homestead, Florida 33034
steve_fried...@nps.gov
Office (305) 224 - 4282
Fax (305) 224 - 4147
Look at the beside argument to the barplot function.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Steve Mu
Greg Snow wrote:
There is not a meaningful alternative way since the way you propose is not meaningful. The Wald tests have some know problems even in the well defined cases. Both types of tests are designed to test a predefined hypothesis, not a conditional hypothesis on the stepwise procedure.
Strangely, summary.gam(m1) should give you significance results of parametric
terms such as ost, wst, park10, sch50, comm, build and suite. These results
should be located above the summary results for smooth terms.
Please using summary.gam(m1) to have a look if there is the information you
need.
hello,
does anybody know a method for calculating grey-level co-occurrence
matrices (GLCM) for RGB-pictures with R?
(unfortunately i haven't found a solution for this problem neither via
(scholar)google nor via r-project helplist)
thank you very much!
best regards
Hans-Joachim Klemmt
--
--
Of course SVM is for supervise learning method (classification or regression).
You cannot use a boat to fly man !
Justin BEM
BP 1917 Yaoundé
Tél (237) 99597295
(237) 22040246
Envoyé le : Mardi, 5 Mai 2009, 16h07mn 10s
Objet : Re : [R] Support Vector Machin
There is not a meaningful alternative way since the way you propose is not
meaningful. The Wald tests have some know problems even in the well defined
cases. Both types of tests are designed to test a predefined hypothesis, not a
conditional hypothesis on the stepwise procedure. It is best to
I am a little bit confusing about the following help message on how to fit a
GAM model with interaction between factor and smooth terms from
http://rss.acs.unt.edu/Rdoc/library/mgcv/html/gam.models.html:
“Sometimes models of the form:
E(y)=b0+f(x)z
need to be estimated (where f is a smooth functi
Hey hey kids! I'm facing this rough problem: I have to modify a function in a
R package (namely, homals) but I'm not able to do it from the R interface,
since this function recalls other functions which looks like invisible... I
downloaded the source package from CRAN,
http://cran.r-project.org/sr
The image function in base graphics does the same type of plot, just different
names and structure of the data (and the documentation says that the number of
breaks should be 1 more than the number of colors).
Hope this helps,
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermounta
Sorry for mailing to you personally...
for types
read.csv(file.choose())
freqTable = table(types)
pie(freqTable)
##example for some data
temp = data.frame(types = 1:10)
pie(table(temp))
Thomas Roth
PS: use barplot instead of pie
DonkeyRhubarb schrieb:
Hi all,
I am looking to create a pie
Set the colors in graph.sets and not auto.key.
graph.sets <- list(axis.text = list(cex = 0.65),
par.ylab.text = list(cex = 1.25),
par.xlab.text = list(cex = 1.25),
superpose.polygon = list(col = 3:5))
Then remove the "col = 3:5" from auto.key and barchart
The function that is doing the color assignments is level.colors in the lattice
package. Looking at the code confirms that the number of colors should be 1
less than the length of the at variable (the documentation implies that it
should be 1 more, looks like a documentation bug to me).
It is
I need to sample a matrix according to different distributions, instead of
just randomly. Here is some code that will hopefully clarify what I need:
I have a matrix M of 1287 interactions between species in rows and species
in columns, according to their abundance:
pla<- c(10, 9, 6, 5, 3) #abun
Dear all,
I have a matrix called combine86 which looks as follows:
> combine86
Sim Mean Obs Mean Sim Sum Obs Sum
AMAZON 1172.0424 1394.44604 553204 659573
NILE 262.4440 164.23921 67973 41881
CONGO682.8007 722.63971 205523 214624
MISSISSIPPI 363.
I'm working with Lattice graphics and I would like very much to color code
the auto.key fill color with the same corresponding colors that I use in
the panels. I've looked on the web for clues, and on the CRAN-R help sites
searching on "trellis auto.key color" and variations, unfortunately the
r
Hello,
I am getting a GPG error with the ubuntu repository at the bristol UK
mirror.
When my source.list has this line:
deb http://www.stats.bris.ac.uk/R/bin/linux/ubuntu/ intrepid/
On an "apt-get update" you get this:
W: GPG error: http://www.stats.bris.ac.uk intrepid/ Release: The
following
(1) Makes sense. Another approach is to use
the time since study entry and include the age
of the part in the model. A related discussion
here: http://tolstoy.newcastle.edu.au/R/e2/help/07/02/9831.html
(2) It is left-truncation. A part is observed only if it has
survived until study entry. Of co
Your integrand is smooth.
What are the limits of integration: 0 to 1 or 0 to infinity? Main challenge
is that it is increasingly oscillatory as x and/or t increase. You can find
the zeros of the cosine function and add up the integrals between successive
zeros. In what context does this intteg
Hello R-Users,
Â
I have one binary dependent variable and a set of independent variables
(glm(formula,â¦,family=âbinomialâ) ) and I am using the function stepAIC
(âMASSâ) for choosing an optimal model. However I am not sure if stepAIC
considers significance properties like Likelihood r
there is a SVM function in svmpath by Trevor Hastie. Before use it take time to
read this
http://www-stat.stanford.edu/~hastie/Papers/svmpath.pdf
If you install then svmpath library ! run the attach source file.
Justin BEM
BP 1917 Yaoundé
Tél (237) 99597295
(237) 22040246
___
Hello R-Users,
Â
I have one binary dependent variable and a set of independent variables
(glm(formula,â¦,family=âbinomialâ) ) and I am using the function stepAIC
(âMASSâ) for choosing an optimal model. However I am not sure if stepAIC
considers significance properties like Likelihood r
Ok thanks..
No, my function is not smooth.
Actually, I am dealing with an integral having the following form, for
example:
\int cos(tx) (1-t^2)^3 \exp(0.5*t^2) dt
I want to estimate this Fourier Cosine integral for a given value of x.
Thanks for the help.
AA
On Tue, May 5, 2009 2:34 am,
Hello R-Users,
Â
I have one binary dependent variable and a set of independent variables
(glm(formula,â¦,family=âbinomialâ) ) and I am using the function stepAIC
(âMASSâ) for choosing an optimal model. However I am not sure if stepAIC
considers significance properties like Likelihood r
> I am looking to create a pie chart from a given column in a .csv file.
>
> My class variables are as follows:
>
> entry_type, uniquekey, types, title,url, abstract, journal,
> author, month,
> year, howpublished
>
> So say I want to export a pie chart that groups together all entrie
I believe something like:
scatter.smooth(est.prob, as.numeric(y == "level of interest"))
would be close. You may want to use a larger span than default.
Andy
From: abbas tavassoli
>
> Hi,
> I have a binary variable and corresponding predicted
> probability (using
> logistic regression on
Dear Abbas,
Take a look at the results of
require(Hmisc)
require(Design)
apropos("calibrate")
?calibrate
?plot.calibrate
HTH,
Jorge
On Tue, May 5, 2009 at 9:41 AM, abbas tavassoli wrote:
> Hi,
> I have a binary variable and corresponding predicted probability (using
> logistic regression on s
Hi Uwe,
I tried to explain my problem with the given example.
I don't see any documentation which tells me that the length of "col.regions"
should be one less than "at". (At least I assume now that it should be this way...)
If it's equal or longer some colors (in the middle of the color-vector)
Hi all,
I am trying to run a cluster analysis with a relatively large data set
(545 samples) and obviously am having trouble viewing the results
using standard plot() method. Is there a way to plot the results of a
large cluster analysis in a window with a scroll bar. Any
recommendations would b
Hello everybody,
I'm trying to do text mining on a serie of texts in italian.
I would like to know if it is possible to find the italian synonyms and/or if
something like WordNet database for English exists also for italian.
Thank you very much in advance.
Regards,
Laura
_
Good morning to Everyone,
I'm an Italian PhD student
that is working on ERPs experiment (cognitive psychology) and I would
like to know if there are R packages for this kind of analysis.
I'm using BrainAmp to record the data and this program gives me t
Hi,
I have a binary variable and corresponding predicted probability (using
logistic regression on some explanatoey variables);
I want to check that the model is well-calibrated using a calibration plot.
how can I have the calibration plot for my data?
thanks.
[[alternative HTM
I see that index is giving me the group for the classification problem.
But my problem is not the same. I had a sample X<-rnorm(1000) for example.
I don't want to make classification (i have only one group in fact) but i
want to estimate the density which generates my sample (like i can do with
Dear R-helpers,
I need to generate all the binary sequences of length n (here n = 8)
that start with 1 and have no fewer than two of each digit, and are
not cyclic permutations of each other. Here is what I have done:
len <- 8
df <- as.data.frame(numeric(2^(len - 1)) %o% numeric(len))
require(wl
(off list)
On 5 May 2009 at 05:15, Erin Hodgess wrote:
| I also needed libglu1-mesa-dev, but now all is well.
a) You still haven't explained why you need to rebuild it when
sudo apt-get install r-cran-rgl
gets you a binary
b) Yes, as
sudo apt-get build-dep r-cran-rgl
wo
Hi,
In fact, you have left-truncated observations.
What timescale do you use, time 0 is the
study entry, or when the wear-part has been used for the
first time?
If it is the latter, you can specify the "age" of the wear part
at study entry in Surv(). For example, if a wear part has been
used fo
Hi,
Arthur, thanks a lot for your super-fast reply!
In fact I am using the time when the part has been used for the first time, so
your example should work in my case.
Moreover, as I have time-variant covariates, the example should look like this
in my specific case:
start stopstatus te
Hi,
I used ggplot2 for plotting recently, you should give it a try - it's excellent.
http://had.co.nz/ggplot2/
All the best
Philipp
DonkeyRhubarb wrote:
> Hi all,
>
> I am looking to create a pie chart from a given column in a .csv file.
>
> My class variables are as follows:
>
> entry_type
You could go to rseek.org and search for pie chart; that will give you
lots of ideas and examples, including discussion of why pie charts
are a bad idea.
Sarah
On Tue, May 5, 2009 at 9:02 AM, DonkeyRhubarb wrote:
>
> Hi all,
>
> I am looking to create a pie chart from a given column in a .csv fi
I also needed libglu1-mesa-dev, but now all is well.
thanks for the help!
Sincerely,
Erin
On Tue, May 5, 2009 at 5:07 AM, Barry Rowlingson
wrote:
> On Tue, May 5, 2009 at 10:55 AM, Erin Hodgess wrote:
>> Dear R People:
>>
>> Here is something strange. I'm using Ubuntu 9.04 with R 2.9.0.
>>
>>
The point is that one Cpu stays at 100% for all time JGR is up.
Any ideas?
Andrea
Uwe Ligges wrote:
r...@quantide.com wrote:
Dear R User
I am using JGR on a Linux Ubuntu Computer with 2 Cpus
When Opening JGR, one Cpu goes up to 100% even if no calculation is
yet started
Did any of you alrea
Hi all,
I am looking to create a pie chart from a given column in a .csv file.
My class variables are as follows:
entry_type, uniquekey, types, title,url, abstract, journal,
author, month,
year, howpublished
So say I want to export a pie chart that groups together all entries u
Thanks, Uwe.
I've managed to get it done with R CMD BUILD -binary.
2009/5/5 Uwe Ligges
> I guess you asked R to:
>
> R CMD build ...
>
> which builds the source package, but you need
>
> R CMD INSTALL ...
>
> in order to install the package or
>
> R CMD INSTALL --build ...
>
> in order to i
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