similar to: R-0.64 versions of packages

I put updates of the following packages on CRAN for use with R 0.64: chron ctest date locfit xgobi Please pick them up from your nearest CRAN site. At least on my system, the packages pass the R CMD check tests ... -k -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-announce mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

I put updates of the following packages on CRAN for use with R 0.64: chron ctest date locfit xgobi Please pick them up from your nearest CRAN site. At least on my system, the packages pass the R CMD check tests ... -k -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-announce mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

I've put up R-0.64.0.tgz up for FTP from Auckland a little while ago. As usual, don't get it from there unless you are desperate, but wait for it to be mirrored at a CRAN site near you within a day or two. For those who *are* desperate, I've left a copy in ftp://blueberry.kubism.ku.dk/pub/R-devel/R-0.64.0.tgz (Be gentle, that's my desktop PC!) There's also a version split

I've put up R-0.64.0.tgz up for FTP from Auckland a little while ago. As usual, don't get it from there unless you are desperate, but wait for it to be mirrored at a CRAN site near you within a day or two. For those who *are* desperate, I've left a copy in ftp://blueberry.kubism.ku.dk/pub/R-devel/R-0.64.0.tgz (Be gentle, that's my desktop PC!) There's also a version split

> For those who *are* desperate, I've left a copy in > ftp://blueberry.kubism.ku.dk/pub/R-devel/R-0.64.0.tgz > (Be gentle, that's my desktop PC!) Well, *now* it's there anyway... -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918

> For those who *are* desperate, I've left a copy in > ftp://blueberry.kubism.ku.dk/pub/R-devel/R-0.64.0.tgz > (Be gentle, that's my desktop PC!) Well, *now* it's there anyway... -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918

From: "Heberto Ghezzo" <heberto at MEAKINS.Lan.McGill.CA> Please be patient: rw0640 was only released very late on Monday, and this is not my primary occupation! In some cases you _need_ the versions of pre-built packages for rw0640: there is no version of sm for rw0640 there, yet. I have one working, but not yet fully tested. (I put one up briefly but removed it pending testing

Hi, I am running a learning experiment in which both training subjects and controls complete a pretest and posttest. All analyses are being conducted in R. We are looking to compare two training methodologies, and so have run this experiment twice, once with each methodology. Methodology is a between-subjects factor. Trying to run this analysis with every factor included (ie, subject as a

Greetings! I am a new user of R. The only one in my department, all others use SPSS. I have two data sets of students with test scores, pretest and posttest. The first column StuNum and then columns of scores. The problem is that the lists are slightly different not all students are in both data sets. So I did: intersect(pretest$StuNum, posttest$StuNum) -> common.id At this point I need

Hi, I am new to R (and not really a stats expert) and am having trouble interpreting its output. I am running a human learning experiment, with 6 scores per subject in both the pretest and the posttest. I believe I have fitted the correct model for my data- a mixed-effects design, with subject as a random factor and session (pre vs post) nested within group (trained vs control). I am

'Windows' path using GetFullPathName() -- code below. My question is how best to do the opposite -- not necessarily from a 'Windows' program. Ex., given a path such as 'C:\PRETEST\GEM01494\GEM01494.RTF', how do I get '/home/justin/.cxoffice/dotwine/fake_windows/pretest/GEM01494/GEM01494.rtf'? I currently have a 'solution' using a lookup table {

Hello, I have noticed a bug with LSSVM implementation in R. It could be a bug with the LSSVM itself that causes this problem. I thought I should post this message to see if anyone else is familiar with this problem and explain why the result is different for odd and even number of cases. Once the hyperplane is found using LSSVM, the prediction results vary when you predict odd or even number of

Dear R-help, I'm trying to create a help file for a data set. The existing help files tell me I should use the prompt(data.set) command which creates an editable file, and then move the file to the appropriate directory. This is the output > prompt(charac) created file named charac.Rd in the current directory. Edit the file and move it to the appropriate directory,

Dear list: since it took me a little while to figure out how to make use of naresid, I thought that the below R code might be useful as an example on the help page. Regards, Markus # generate some data x1 <- runif(20) y <- 10 + 5*x1 + rnorm(20) summary(lm.0 <- lm(y ~ x1)) # append some NA's to y y <- c(y, rep(NA, 5)) # generate some further x1s x1 <- c(x1, runif(5)) #

Dear R-users, I intend to do a spatial analysis on the genetic structuring within a population. For this I had thought to prepare a kernel density estimate map showing the spatial distribution of individuals, while incorporating the genetic distances among individuals. I have a dataset of locations of N unique individuals (XY-coordinates) and an NxN matrix with the genetic distances given as a

Dear list: since it took me a little while to figure out how to make use of naresid, I thought that the below R code might be useful as an example on the help page. Regards, Markus # generate some data x1 <- runif(20) y <- 10 + 5*x1 + rnorm(20) summary(lm.0 <- lm(y ~ x1)) # append some NA's to y y <- c(y, rep(NA, 5)) # generate some further x1s x1 <- c(x1, runif(5)) #

I am having some trouble getting reftex, in particular the bibtex related features, to work properly in xemacs when editing text in Sweave files. I have added (defun Rnw-mode () (noweb-mode) (if (fboundp 'R-mode) (setq noweb-default-code-mode 'R-mode))) (add-to-list 'auto-mode-alist '("\\.Rnw\\'" . Rnw-mode)) (add-to-list 'auto-mode-alist

Dear R developers, Is there a way to pretest a package on the Solaris-sparc and solaris-x86 systems equivalent to the win-builder check? My psych package (1.1.10 and 1.1.11) passes all checks for the Mac on my system, on the win-builder checking system supported by Uwe, and then passes Kurt's tests to install on CRAN. But it then fails when being built for the solaris systems. Rather

Dear R users, I use the excelent Anova function of the library car because the easy way to get sphericity correction. Unless I use the scan function. I have not been able to access the values ​​of sum squares and degrees of freedom for each effect in the univariate summary table. Example of the car library for Anova function: library(car) phase <- factor(rep(c("pretest",

Now rw0640 is released, we have achieved our main goal of being able to build easily new versions from the Unix sources, and the R functionality is as complete a copy as we can achieve easily. We are now thinking of possible enhancements, and would like your comments on the following ideas. o Use a standard MDI interface like MS Office's, say. Would you prefer an MDI interface