similar to: Problems with installation on Debian

Can anyone explain this behavior? Essentially, I've created a short file to be read in via source() that gets some descriptive information on a series of variables in a data frame. For each variable, I do three things: print('last.hc.actors') quantile(last.hc.actors,probs=seq(0,1,0.1),na.rm=T) stem(last.hc.actors) where the variable name is (in this case) last.hc.actors. All that

Greetings, again. This is not strictly an R question, so please feel free to ignore it if you like. My question is about the substance of correspondence analysis. Specifically, is it appropriate to use ca on a matrix of values such that the columns and/or rows are not mutually exclusive? To be more detailed: - The standard use of ca is illustrated in the example of corresp() (from MASS):

Hello- This goes for all those insterested in contributing with the effort to have better Debian documentation, and are willing to submit material to the Science section of the DURG, in order to divulge R to a wider public. Please write directly to the author of the Science: Andreas Franzen <anfra at debian.org> Regards, Henry L.

I'd like to get summary statistics (really just a mean would be fine) for a vector in a data frame, but split based on the value of another vector. That is, I have a data frame (hcd.df) with variables datecat (which is always 1 or 2) and auth.sum (-8..+8). I've used xtabs to get chi-square comparisons, but what I need now is a simple mean of auth.sum where datecat is 1 and another where

Hi All, I would like to use anonymous cvs, but it appears not to be working (again?). There was a discussion back in Jan-Feb about whether to continue supporting it, but it seemed that Tony Rossini got it working and the discussion left off there. Did someone decide to disable it, or is it just not working properly? Here's the details: $ cvs -d

Dear R users, I ran into this curious problem: > d <- rnorm(100) > d.density <- density(d) > sum( d.density$x * d.density$y) [1] 2.517502 Admittedly the method of computing the mass under the density curve at line 3 is crude. But 2.5 is pretty far from 1, the value it should be. I tried a few other dataset and got similar result. Am I missing something obvious? Or is the return

Hello- While I was reading a tutorial book for R (actually, for S-Plus:Brian S. Everitt. A Handbook of Statistical Analysis using S-PLUS. Chapman & Hall, London, 1994) I tried to execute this simple exercise: > x <- -c(1,2,3,4,5,6) > X <- -c(10,11,12,100,-5,-6) >x+X [1] -11, -13, -15, -104, 0, 0 As you can see, the added vectors resulted in

As a user of only R, I don't use much of the potential of ESS and Emacs. Without entering a religious feud, is there any reason I should use XEmacs rather than my current GNU Emacs? (I looked on the XEmacs site, but I didn't understand the programming issues they were talking about (over my head).) Martin Henry H. Stevens, Assistant Professor 338 Pearson Hall Botany Department Miami

Hello- Since my data bank in SPSS has > 40 variables, I think that R crashes because of the memory limit. In Maindonald?s UsingR text, on pg 3, there?s a footnote that reads: "If you want larger memory space than the default you may want a target akin to <path to binary>\rw091\bin\rgui.exe --visize 30M --nsize 1000K [The default is --vsize 6M --nsize 250K

Dear R experts, Sorry, I am resending this, since I have not received this mail myself for the past 5 hours. I saw a similar question dated July 2. But there is no answer to it. Does anybody have a solution to it? I am using window NT, and the R version is 1.5.1, the SJava package is the binary version SJavaWin_0.62-8.zip. Here are the error message: > library(SJava) > .JavaInit()

Hi Folks, I'm currently looking at missing data/imputation methods (including multiple imputation). S-Plus has a "missing data library". What similar resources are available within R? Or does one roll one's own? Best wishes to all, Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk>

Dear list members, I've had helpful feedback from a number of people, several of whom experienced some problems getting my XEmacs/ESS configuration files for Windows to work properly. I will, of course, make changes based on this feedback, but the following information may be of use in the interim: (1) It's clear that my instructions and installation procedure were insufficiently

Dear list members, I've had helpful feedback from a number of people, several of whom experienced some problems getting my XEmacs/ESS configuration files for Windows to work properly. I will, of course, make changes based on this feedback, but the following information may be of use in the interim: (1) It's clear that my instructions and installation procedure were insufficiently

Sam Rushing's Python extension 'calldll' will supposedly give me access to any DLL, and presumably R.DLL in particular, from Python. I have no experience manipulating DLLs as yet. I am learning Python. I can't find any simple step-by-step instructions on how to get done what I want to do. Does anyone have experience with this? Is there a better way? Of course, one can use

Hello everyone, Thanks to all who offered suggestions after my initial query to the list. I've been busy trying to absorb the docs as fast as possible, but this little thing has me stumped for the moment. I'm creating a random sample of 100 item and saving it to a vector named 'iq'. I'd like to create a second vector (iq_prime, say) by adding 20 to each element of the

Hello everyone, Thanks to all who offered suggestions after my initial query to the list. I've been busy trying to absorb the docs as fast as possible, but this little thing has me stumped for the moment. I'm creating a random sample of 100 item and saving it to a vector named 'iq'. I'd like to create a second vector (iq_prime, say) by adding 20 to each element of the

Is the anonymous CVS repository for R presently broken? There haven't been many updates coming through and the repository files seem to differ significantly from the rsync version of R-devel... Byron Ellis (bellis@hsph.harvard.edu) "Oook" - The Librarian Please finger bellis@hsph.harvard.edu for PGP keys

Dear R People: Is there a binary version for rorca, please? Thanks, Laura mailto: lauraholt_983 at hotmail.com R Windows 1.9.0

First let me confess that I am a R-novice. I am trying to fit a beta distribution for a dataset using fitdistr(MASS). I am having difficulties with it because the function tends to fit a distribution with a range of 0 to 1 (I guess). However, my dataset is not! Anytips or tricks will be very much appreciated. Many Thanks. T. S. Ramanarayanan, Ph.D. Aventis CropScience Research Triangle Park,

could we add an argument to suppress printing of levels for print.factor()? i.e.: print.factor <- function (x, quote = FALSE, print.levels = TRUE, ...) ## MODIFIED { if (length(x) <= 0) cat("factor(0)\n") else print(as.character(x), quote = quote, ...) if (print.levels) { ## ADDED cat("Levels: