[R] R validation
Dear R-Users, A message to continue the discussions we had in March and June. I have read the documents written since then (http://www.r-project.org/doc/R-FDA.pdf ; http://user2007.org/program/presentations/harrell.pdf ; http://user2007.org/program/presentations/rossini.pdf ; http://user2007.org/program/presentations/soukup.pdf) which are very interesting and useful. I work in a CRO and we strongly believe that R could be our standard statistical tool for all our analyses. I agree that it is more relevant (and easier) to validate an analysis than the whole software but anyway, if we want to systematically use R, we must convince our top management first and then our clients that R is reliable. Most of them do not know the R environment and it is more that likely that we will be asked for any validation documentation. I am sure that the Core team has thoroughly tested Base R functions and the recommended packages. Is it possible to have access to the scripts or any documents that would attest that R gives reliable/validated results ? All the discussions, documents mentioned above are a big step for the use of R in the pharma/biotech environment but I also think that validation documents or scripts are indispensable to convince our top management, our clients and regulatory bodies. If validation documentation or scripts do not exist or are not available, could anyone tell me in concrete terms which are the minimum requirements to validate R functions or packages ? Thanks ! Delphine Fontaine Delphine Fontaine Statistician Data Statistics Department - Genexion SA 29, Quai du Mont-Blanc Geneva, CH-1201 Switzerland Office: +41 22 704 32 44 Fax:+41 22 704 32 42 Email: [EMAIL PROTECTED] __ R-help@r-project.org 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.
Re: [R] how to split data.frame by row?
maybe you need this q-matrix(1:60,20,3) matrix(q,10,6) matrix(q,5,12) 2007/10/29, Weiwei Shi [EMAIL PROTECTED]: hi, if I have 20 x 3 data.frame, how to split it into 10 x 6 (moving the lower part of 10x3 to column) or 5 x 12 thanks -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. Did you always know? No, I did not. But I believed... ---Matrix III __ R-help@r-project.org 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@r-project.org 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] cumsum
Hi, my problem belongs to the basic ones. I want to get cumulated sum over the matrix columns by one command (if such exists). Ordinary R's cumsum(x) when x is: [,1] [,2] [1,]15 [2,]26 [3,]37 [4,]48 yields: 1 3 6 10 15 21 28 36 I want: [,1] [,2] [1,]15 [2,]3 11 [3,]6 18 [4,] 10 26 Is there any command to do so?? best, robert -- View this message in context: http://www.nabble.com/cumsum-tf4742648.html#a13562053 Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org 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.
Re: [R] cumsum
threshold said the following on 11/3/2007 4:41 AM: Hi, my problem belongs to the basic ones. I want to get cumulated sum over the matrix columns by one command (if such exists). Ordinary R's cumsum(x) when x is: [,1] [,2] [1,]15 [2,]26 [3,]37 [4,]48 yields: 1 3 6 10 15 21 28 36 I want: [,1] [,2] [1,]15 [2,]3 11 [3,]6 18 [4,] 10 26 Is there any command to do so?? best, robert Try apply(x, 2, cumsum) HTH, --sundar __ R-help@r-project.org 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] R validation. If you know what you want, it's simple. If you don't know what you need to do, there are problems...(with any validation)
From: [EMAIL PROTECTED] To: [EMAIL PROTECTED] Date: Sat, 3 Nov 2007 09:03:39 +0100 (CET) Subject: [R] R validation Dear R-Users, A message to continue the discussions we had in March and June. I have read the documents written since then (http://www.r-project.org/doc/R-FDA.pdf ; http://user2007.org/program/presentations/harrell.pdf ; http://user2007.org/program/presentations/rossini.pdf ; http://user2007.org/program/presentations/soukup.pdf) which are very interesting and useful. I work in a CRO and we strongly believe that R could be our standard statistical tool for all our analyses. I agree that it is more relevant (and easier) to validate an analysis than the whole software but anyway, if we want to systematically use R, we must convince our top management first and then our clients that R is reliable. Most of them do not know the R environment and it is more that likely that we will be asked for any validation documentation. I am sure that the Core team has thoroughly tested Base R functions and the recommended packages. Is it possible to have access to the scripts or any documents that would attest that R gives reliable/validated results ? All the discussions, documents mentioned above are a big step for the use of R in the pharma/biotech environment but I also think that validation documents or scripts are indispensable to convince our top management, our clients and regulatory bodies. If validation documentation or scripts do not exist or are not available, could anyone tell me in concrete terms which are the minimum requirements to validate R functions or packages ? Please read again, you are missing something. R comes with IQ if you build your own. All other validation and qualification scripts will need to be specified by the relevant concerned parties in your company. i.e. to answer the questions, what do we require, what specifications must be met, etc, for a relevant subset of things that must be required and specs that must be met for this to meet your needs. Good practice is to establish your needs, and then verify that you've met them. Of course, you can outsource the whole thing, there are some very good companies that can help with this, who can tell you what specifications you want to meet, and what you will require. In my opinion, they might even be able to do it without going too wrong. (disclaimer: I work for one of the largest pharmas as a pointy-headed boss, and my group (not clin statistics, but in clinical development and on the regulated side) will be using R and Linux for clinical work as soon as we (well, I) finish some paperwork. Of course, read Dilbert if you think I'm making any sense...). best, -tony [EMAIL PROTECTED] Muttenz, Switzerland. Commit early,commit often, and commit in a repository from which we can easily roll-back your mistakes (AJR, 4Jan05). __ R-help@r-project.org 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] Pearson residuals
Dear Sirs What is the best aproximation to the standardized normal distribution: necessidade = c(sem necessidade,com necessidade) tipo =c(CE-1, CE-2, CE-3) dados=c(20,34,44,69,9,3) Tabela =cbind(expand.grid(list(Necessidade=necessidade, Tipo=tipo)), count=dados) Tabela.array=tapply(Tabela$count, Tabela[,1:2], sum) ni = rowSums(Tabela.array) nj = colSums(Tabela.array) n = sum(Tabela.array) fit.glm=glm(count~Necessidade+Tipo, data=Tabela, family=poisson) # chisq.test(Tabela.array) resid.pear=residuals(fit.glm, type=pearson) %%% This one? (no residuals are outside the range -1,96 to 1,96 ### resid.pear.mat=matrix(resid.pear, nc=3, byrow=F,dimnames=list(c(sem necessidade,com necessidade),c(CE-1, CE-2,CE-3))) n*resid.pear.mat/sqrt(outer(n-ni,n-nj,*)) %%% Or this one? (residuals are outside the range -1,96, 1,96) Thanks Jorge __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Categorical data
Dear Sirs What is the best aproximation to the standardized normal distribution: necessidade = c(sem necessidade,com necessidade) tipo =c(CE-1, CE-2, CE-3) dados=c(20,34,44,69,9,3) Tabela =cbind(expand.grid(list(Necessidade=necessidade, Tipo=tipo)), count=dados) Tabela.array=tapply(Tabela$count, Tabela[,1:2], sum) ni = rowSums(Tabela.array) nj = colSums(Tabela.array) n = sum(Tabela.array) fit.glm=glm(count~Necessidade+Tipo, data=Tabela, family=poisson) # chisq.test(Tabela.array) resid.pear=residuals(fit.glm, type=pearson) %%% This one? (no residuals are outside the range -1,96 to 1,96 ### resid.pear.mat=matrix(resid.pear, nc=3, byrow=F,dimnames=list(c(sem necessidade,com necessidade),c(CE-1, CE-2,CE-3))) n*resid.pear.mat/sqrt(outer(n-ni,n-nj,*)) %%% Or this one? (residuals are outside the range -1,96, 1,96) Thanks Jorge __ R-help@r-project.org 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.
Re: [R] Pearson residuals
Jorge Manuel de Almeida Magalhães wrote: Dear Sirs What is the best aproximation to the standardized normal distribution: How about http://www.statsci.org/s/qres.html (which gives S-PLUS code: haven't checked to see if it works in R or not, but it looks like it probably will) My other question is how much you should expect to derive strong conclusions from the residuals from this small a data set ... Ben Bolker -- View this message in context: http://www.nabble.com/Pearson-residuals-tf4742800.html#a13563074 Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org 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] Job opening at Merck, NJ
Apologies for the cross-posting...
Computational statisticians
The Biometrics Research Department at Merck Research Laboratories, Merck
Co., Inc. in Rahway, NJ is seeking highly motivated statisticians/data
analysts (2 positions) to work in its basic research and drug discovery
area. The applicant should have broad expertise in statistics and
computer science, with substantial experience in either medical imaging
analysis (1 position) or bio-signal analysis (1 position). For the
position in imaging analysis this includes image registration and
segmentation, fMRI, and advanced pattern recognition. For the position
in bio-signal analysis this includes signal processing, time-series
analysis, and advanced pattern recognition. These positions will provide
statistical, mathematical, and software development support to Merck
scientists. Merck has its own facilities for CT, PET, MRI, and
ultrasound imaging as well EEG labs and numerous telemetry modalities.
We are looking for a Ph.D. in Statistics, Electrical/Computer or
Biomedical Engineering, Computer Science, Applied Mathematics, or
Physics. Advanced computer programming skills (including, but not
limited to Matlab, C/C++, Visual Basic), and good communication skills
are essential, as is familiarity with statistical software like R.
These positions may also involve general statistical consulting and
training. An ability to lead statistical analysis efforts within a
multidisciplinary team is required.
Our dedication to delivering quality medicines in innovative ways and
our commitment to bringing out the best in our people are just some of
the reasons why we're ranked among Fortune magazine's 100 Best
Companies to Work for in America. We offer a competitive salary, an
oustanding benefits package, and a professional work environment with a
company known for scientific excellence. To apply, please forward your
CV or resume and cover letter to
ATTENTION: Open Positions
Vladimir Svetnik, Ph.D.
Biometrics Research Dept.
Merck Research Laboratories, RY33-300
126 E. Lincoln Avenue
Rahway, NJ 07065-0900
[EMAIL PROTECTED]
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Re: [R] Pearson residuals
Jorge Manuel de Almeida Magalhães wrote: Dear Sirs What is the best aproximation to the standardized normal distribution: How about http://www.statsci.org/s/qres.html (which gives S-PLUS code: haven't checked to see if it works in R or not, but it looks like it probably will) My other question is how much you should expect to derive strong conclusions from the residuals from this small a data set ... You are reason. Such date is a example. The p-value ( 0.043518) it is inconsistency with the Pearson Residuals: CE-1 CE-2 CE-3 sem necessidade -0.4309469 0.3576286 -0.3069599 com necessidade 0.2547359 1.8561316 -1.5403424 We can compare them against standard normal critical values such as 1.96. All residuals are in range -1,96, +1.96. But, if I do n*resid.pear.mat/sqrt(outer(n-ni,n-nj,*)) CE-1 CE-2 CE-3 sem necessidade -0.6701451 -0.6569159 2.497185 com necessidade 0.6701451 0.6569159 -2.497185 I found that the group CE-3 is responsible by the lack of the independence model. This is consistency with the p-value. __ R-help@r-project.org 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] mantel tests
This is a general statistics question so I'm sorry if its outside the field of r help. Anyway, I have a suite of female and male traits and I have made a matrix of correlation coefficients using rcorr(). This results in a 6 by 6 matrix like this.. [1] 0.11287990 0.20441361 0.23837442 0.04713234 0.04331637 0.01461611 [7] 0.22627981 0.11720108 0.14252307 0.19531625 0.29989953 0.09989502 [13] 0.03888750 0.11157971 0.02693303 0.01373447 0.08913154 0.06770636 [19] 0.01984838 0.10047978 0.05200218 0.16317234 0.2663 0.10412373 [25] 0.06269722 0.14366454 0.13123054 0.27550149 0.43863848 0.28909831 [31] 0.01454485 0.02551081 0.05645427 0.15819397 0.16508231 0.12399349 I want to test 2 hypotheses 1) is there a pattern to the matrix, does it differ from random? 2) do the top left and bottom right quadrants differ from the other 2 quadrants and if so, which one has the highest values of r2. I have read alot about permutation tests, bootstrapping and mantel tests but cant decide which is best in this situation? Could anyone please provide a starting point? Thankyou in advance, Simon [[alternative HTML version deleted]] __ R-help@r-project.org 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] rank-deficient model matrix
Dear: I want to construct a gee model in R. When I ran the program, there was a warning in the output. The warning is Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27 gee(cbind(hyper, nohyper) ~ I(Ethnic) + I(Gender) + I(drink) + : rank-deficient model matrix What is the rank-deficient model matrix? What should I do to solve the problem? Thanks all. Lian __ æ樣æ¸å°åå¾ä¿¡ï¼åªè¦çå°åå¾ä¿¡ï¼ç«å³æä¸ãéæ¯åå¾ spam/index.html [[alternative HTML version deleted]] __ R-help@r-project.org 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] are there any R-help list in spanish.
Hi all, I have a question, are there any R-help list in spanish or forus, and which is its subscribe adress ...? Thanks Horacio. __ R-help@r-project.org 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.
Re: [R] Pearson residuals
Jorge Manuel de Almeida Magalhães wrote: Jorge Manuel de Almeida Magalhães wrote: Dear Sirs What is the best aproximation to the standardized normal distribution: How about http://www.statsci.org/s/qres.html (which gives S-PLUS code: haven't checked to see if it works in R or not, but it looks like it probably will) Code for randomized quantile residuals do exist for R as part of Gordon Smyth's `statmod' package. See `?qresiduals'. HTH, Henric My other question is how much you should expect to derive strong conclusions from the residuals from this small a data set ... You are reason. Such date is a example. The p-value ( 0.043518) it is inconsistency with the Pearson Residuals: CE-1 CE-2 CE-3 sem necessidade -0.4309469 0.3576286 -0.3069599 com necessidade 0.2547359 1.8561316 -1.5403424 We can compare them against standard normal critical values such as 1.96. All residuals are in range -1,96, +1.96. But, if I do n*resid.pear.mat/sqrt(outer(n-ni,n-nj,*)) CE-1 CE-2 CE-3 sem necessidade -0.6701451 -0.6569159 2.497185 com necessidade 0.6701451 0.6569159 -2.497185 I found that the group CE-3 is responsible by the lack of the independence model. This is consistency with the p-value. __ R-help@r-project.org 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@r-project.org 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] installing packages on OS X -- lgfortran problem
I am trying to install two packages that are not available at CRAN (rmutil, dna). When trying the R CMD INSTALL with either file, I get an error message that ends with /usr/libexec/gcc/i686-apple-darwin8/4.0.1/libtool: can't locate file for: -lgfortran /usr/libexec/gcc/i686-apple-darwin8/4.0.1/libtool: file: -lgfortran is not an object file (not allowed in a library) Can anyone please help? I have R 2.6 on a Macbook running 10.4.10. I have installed XCode 2.5. A complete error message is given below. Thank you! Stefanie * Installing to library '/Library/Frameworks/R.framework/Resources/ library' * Installing *source* package 'rmutil' ... ** libs ** arch - i386 gcc-4.0 -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk - std=gnu99 -no-cpp-precomp -I/Library/Frameworks/R.framework/Resources/ include -I/Library/Frameworks/R.framework/Resources/include/i386 - msse3-fPIC -g -O2 -march=nocona -c cutil.c -o cutil.o gcc-4.0 -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk - std=gnu99 -no-cpp-precomp -I/Library/Frameworks/R.framework/Resources/ include -I/Library/Frameworks/R.framework/Resources/include/i386 - msse3-fPIC -g -O2 -march=nocona -c dist.c -o dist.o gfortran-4.0 -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk - fPIC -g -O2 -march=nocona -c gettvc.f -o gettvc.o gcc-4.0 -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk - std=gnu99 -no-cpp-precomp -I/Library/Frameworks/R.framework/Resources/ include -I/Library/Frameworks/R.framework/Resources/include/i386 - msse3-fPIC -g -O2 -march=nocona -c romberg.c -o romberg.o gcc-4.0 -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk - std=gnu99 -no-cpp-precomp -I/Library/Frameworks/R.framework/Resources/ include -I/Library/Frameworks/R.framework/Resources/include/i386 - msse3-fPIC -g -O2 -march=nocona -c toms614.c -o toms614.o gcc-4.0 -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk - std=gnu99 -dynamiclib -Wl,-headerpad_max_install_names -Wl,- macosx_version_min -Wl,10.3 -undefined dynamic_lookup -single_module - multiply_defined suppress -o rmutil.so cutil.o dist.o gettvc.o romberg.o toms614.o -L/usr/local/lib/gcc/i686-apple-darwin8/4.2.1 - lgfortran -lgcc_s.10.4 /usr/libexec/gcc/i686-apple-darwin8/4.0.1/libtool: can't locate file for: -lgfortran /usr/libexec/gcc/i686-apple-darwin8/4.0.1/libtool: file: -lgfortran is not an object file (not allowed in a library) make: *** [rmutil.so] Error 1 ERROR: compilation failed for package 'rmutil' ** Removing '/Library/Frameworks/R.framework/Versions/2.6/Resources/ library/rmutil' __ R-help@r-project.org 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] R CMD SHLIB gives error: bad value (generic) for -mtune= switch
Hello,
I am trying to compile C code using the R CMD SHLIB command. I get this error:
R CMD SHLIB gibbs.c
making gibbs.d from gibbs.c
gibbs.c:0: error: bad value (generic) for -mtune= switch
make: [gibbs.d] Error 1 (ignored)
cat: gibbs.d: No such file or directory
make: [makeMakedeps] Error 1 (ignored)
gcc-sjlj -std=gnu99 -IC:/PROGRA~1/R/R-26~1.0/include-Wall -O3
-c gibbs.c -o gibbs.o
gibbs.c:1: error: bad value (generic) for -mtune= switch
make: *** [gibbs.o] Error 1
where gibbs.c contains
#include R.h
#include Rmath.h
#include gibbsiso.h
void gibbsiso(int *nmc){
Rprintf(Hello!);
}
and gibbsiso.h contains
void gibbsiso(int *);
I have installed or am using the following
* Rtools.exe 2.6.0
* R version 2.6.0 (2007-10-03)
* Windows Vista
* Toshiba Laptop, Intel Centrino Duo, T2250 @1.73 GHz w/ 1GB of RAM
My path variable is
c:\Rtools\bin;c:\Rtools\perl\bin;c:\Rtools\MinGW\bin;c:\Rtools\MinGW\libexec\gcc\mingw32\3.4.5;C:\Program
Files\MiKTeX
2.5\miktex\bin;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Program
Files\Common Files\Ulead Systems\MPEG;C:\Program
Files\R\R-26~1.0;C:\Program Files\R\R-26~1.0\bin;C:\Program
Files\gs\gs8.54\bin;
I would appreciate any insight into this error.
Thanks for your time!
McKay Curtis
(Stats grad student at NCSU)
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Re: [R] unable to install package ff
Matthew, Did you take a look at the R.huge package? It works well with numerical data. If you describe the problem you're trying to solve in more detail, it may help us give you a better solution. Btw, we use the filehash package with great success in accessing very large amounts of data. Best, Adrian Dragulescu On 11/1/07, Matthew Keller [EMAIL PROTECTED] wrote: Hi all, I've had one of my most miserable R weeks in memory. I'm trying to deal with huge datasets (1GB each) but am running up against those pesky memory limits. The libraries filehash and g.data are not very suitable for what I need. I haven't gotten into the sql thing yet. Most recently I've been trying to install the new package ff (not yet on the CRAN repository). I can't find emails of the folks developing ff, so I was hoping someone here might have an idea how to deal with this. From http://wsopuppenkiste.wiso.uni-goettingen.de/ff/ I've downloaded the ff_1.0.tar.gz. install.packages (pkgs=ff_1.0.tar.gz,repos=NULL,destdir=/temp,type=source) much output omitted g++-4.0: installation problem, cannot exec 'i686-apple-darwin8-g++-4.0.0': No such file or directory make: *** [Error.o] Error 255 chmod: /Library/Frameworks/R.framework/Versions/2.5/Resources/library/ff/libs/i386/*: No such file or directory ERROR: compilation failed for package 'ff' So it cannot find i686-apple-darwin8-g++-4.0.0. What the hell is that? A compiler I suppose. I HAVE installed the Mac OS developer tools. I have an MacBook Pro with 4GB RAM and am using the 32bit R: sessionInfo() R version 2.5.1 (2007-06-27) i386-apple-darwin8.9.1 locale: en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base Any ideas how to get ff to install properly on my system? Most appreciative of any advice! Matt -- Matthew C Keller Asst. Professor of Psychology University of Colorado at Boulder www.matthewckeller.com __ R-help@r-project.org 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. [[alternative HTML version deleted]] __ R-help@r-project.org 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] install problem 2.6 mac os x 10.5
Hi everyone, I am trying to install R-2.6 over my 2.5.1 installation on Mac OS X 10.5. R version 2.5.1 (2007-06-27) I double-click the installer package, 1) Click Continue 2) Click Continue 3) Click Continue + Click Agree On the Installation Type dialog screen, all four options are grayed out, with skip beside them. The Install button is also grayed out. If I click the Standard Install button, it allows me to change the directory to install onto, but then brings me back to the same screen. So I can't install. If I click any one the four options [R Framework, R GUI, etc] the message says There is a more recent version of this software installed on your system. There is no need to install this older version. What am I missing here? Thanks for your help. __ R-help@r-project.org 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] structure vs. matrix
Hi R Gurus! When creating a matrix, is it better to use the structure function or the matrix function, please? Thanks, Edna Bell __ R-help@r-project.org 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.
