similar to: Re: desiderata for data manipulation

> Date: Thu, 28 Sep 2000 14:28:31 +0200 (CEST) > From: gb <gb@stat.umu.se> > > > Compiling R-1.1.1 on RedHat Linux 7.0 gives lots of warnings like > > In file included from tabulate.c:24: > ../../src/include/config.h:192:21: warning: nothing can be pasted after > this token > > which I didn't see with RH6.2. However, R seems to run just fine >

Suppose one wanted to build an R wizard for packaging... One would need to specify and create: package-name/ package-name/Description package-name/INDEX package-name/R/ package-name/man/ package-name/src/ >From this, we'd "probably" like to: - script-up the Description - provide a script for regenerating INDEX by calling out to the

Duncan - (but sent to R-devel, for any other thoughts?) How do you envision RSPerl being used? Without having seen the details, I can think of playing with strings; is there a preferred incantation for stringification of R objects (serialization)? (actually, the main problem I'm having is that I know how I want to code something like: Robject <-

Dear all, Are there functions or packages in R that can handle interval-censored data? I have looked in various packages (such as survival5 or event), but it seems that only right-censored data can be analysed. More generally, are there methods to analyse both interval-censored observations and right-censored observations in the same data set? Thanks in advance. Emmanuel Paradis

Hello, I checked mail list archives and this topic came up before in March '99 (about ability of R to multithread). At that time rossini at biostat.washington.edu (Tom Rossini) suggested to check his web page in a few month as it was on his list to-do. I checked but the web page is not valid. I wanted to know if in general progress has been made in the area, or if it is planned. I was also

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:

Is anyone aware of a mechanism by which I could execute an R function from within java (say a servlet). thanks Richard Piper -- Intensive Care Unit, RNS Hospital, Sydney. Phone: 612-9926-8656 or 8617 FAX: 612-9439-8418 Page: 612-9962-4936 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html

I've been doing some prototype simulations in Python, and my plan at first was to pass the results off to R, but now I would like to make more of an integrated use of the R routines. I'm curious about the use of libR.so, but I'm uncertain, still after having looked through the documentation 'Embedding R in Other Applications' and 'Writing R extensions' how I can

Colleagues ---------------------------------- System info: R version rw1020 on NT ESS using emacs ver. 20.4 ~/.emacs ; Default function template (setq ess-insert-function-templates t) ---------------------------------- When loading a new function into the R workspace using ctrl-CD I would like the default function template to come up, rather than a blank buffer. I thought I had the Default

As far as I can tell, there are no facilities in the "base" R for image analysis. Is there any extension or package for R that implements image analysis? I'm thinking of features such as o Reading and writing image files, o displaying indexed or "true color" images, o resizing, cropping, etc, of images, o filters for manipulating images (smoothing, edge detection, etc) o

Dear R users, I have to catch a nasty bug and would appreciate any advice or help! I get a segfault (core dumped) that happens in one of my own functions. The problem is, it does not happen most of the time, only sometimes, so it's very hard to reproduce. Or it may run ok in interactive mode, but bug out in batch mode. Also, it tends to happen more on the slower of my 2 machines (PII 266),

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,

Greetings from Switzerland! Are there any plans/initiatives/considerations in future versions of R for commenting out regions via something like " /* */ "? (I've got an application for which something like that would be useful; if not, there are less simple solutions). best, -tony "Commit early,commit often, and commit in a repository from which we can easily roll-back

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

One thing that has driven me batty to no end is the fact that ESS doesn't handle R's "exit" well. Any thoughts as to the default? I'm thinking of something like: current: do what currently is done C-u Y C-c C-q : quit and save workspace C-u N C-c C-q : quit and don't save workspace. Comments? best, -tony -- A.J. Rossini Rsrch. Asst.

There's a bit of a symmetry issue, which may or may not be important (led to 15 seconds of confusion until I got my bearings straight): row.names, rownames; colnames, no col.names? I _NOW_ realize the difference between row.names and rownames, but is there any reason not to have col.names for re-naming columns in a data.frame? (if there is, I don't particular need to know it, but it

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>

For various reasons, I spent part of my time today looking at sample size and power calculation tools (don't ask, don't tell...). This seems to be one area that R is incredibly weak in (well, nearly all stat packages, except perhaps specialized tools and SAS); sure, there are a number of functions in various packages: base, statmod, Hmisc Have I missed something? (I

R Users I am a new user of R. I have sample weights that I would like to apply to some of the variables in my data set. Where can I go for information on how to do that? Richard

for Spam. In the process of setting up a more effective spam filtering system, I just noticed that bogofilter, which implements extensions of the (a?) "Naive Bayes" text classification approach, will dump out R data frames; the man page suggests how to "integrate" it with R for verification. (sort of, that is). Anyway, for those of you looking for silly and perhaps