similar to: R crashes when loading library/package; Windows, Cygwin

Hello all, I upgraded from R 1.8.1 to 1.9.0 (Windows XP), and spotted an odd thing. The last three letters in the Swedish alphabet are ??, ?? and ??. (In case they don't show correctly: they are a with a ring, a with two dots, and o with two dots (HTML: å ä ö). When I use these as variable names in a data.frame, odd things happen: In R 1.8.1, ?? (å)

Hello, I have trouble converting a character string to a R object. Let me describe this by an example; > dim(a) [1] 270 14 > dim("a") NULL > names(a) [1] "Var1" "Var2" "Var3" "Var4" "Var5" "Var6" "Var7" "Var8" "Var9" [10] "Var10" "Var11" "Var12"

In "An Introduction to R" (See R help menu), there is an example of a function 'open.account' that makes use of the lexical scope in R. I have a set of functions that can be used to output R tables and graphics into a single report document. (I am aware that several tools can do this already). While reorganizing my code, I realize that I can collect my functions in a list, in

Seems like get() is what you are looking for; e.g., try dim(get("a")), names(get("a")), etc. HTH, Andy > From: Sixten Borg > > Hello, > > I have trouble converting a character string to a R object. > Let me describe this by an example; > > > dim(a) > [1] 270 14 > > dim("a") > NULL > > > names(a) > [1]

Dear list, I would like to simulate individual survival times from a model that has been fitted using the survreg procedure (library survival). Output shown below. My plan is to extract the shape and scale arguments for use with rweibull() since my error terms are assumed to be Weibull, but it does not make any sense. The mean survival time is easy to predict, but I would like to simulate

Full_Name: James Michael Rath Version: all (I think) OS: doesn't matter Submission from: (NULL) (129.116.226.162) The code for pnorm in R was adapted from a Fortran library published in the ACM TOMS journal. The published version had a typographical error, though, which was pointed out in a second article published three years after the original. The error was that a macro/variable named

Summary: The locale setting in the operating system seems to be involved in what confused me a little bit. Thank you all for your help, especially the suggested work-around data.frame(..., check.names=F) which works very well. A mystery still to be solved is why two versions of R, running on the same machine on the same time, behaves differently. Please do not respond to this on the list. I

Hi, Splus allows pasting a graphics object into the plotting window, which makes it possible to do what you describe below. Now I use R which doesn't seem to allow pasting the picture into the graphics window, so I copy the graph onto a transparency sheet, and stick it onto my screen using tape. The coordinates need to be converted to make sense (as you describe). My methodology with the

Hi everyone, Do you know how to apply a If command to a vector in a data.frame, creating a new column? Example: If one species has "1" value in the Abundance column then it is "Solitary". If the abundance is higher than 1, is "School". I did: aggregationFunction <-function(x){ (if (x>1) a<- 'School' else a<-

Not sure where to even start on this.... I'm hoping there's some debugging I can do... I have a loop that cycles through several different data sets (same structure, different info), performing randomForest growth and predictions... saving out the predictions for later study... I get about 5 hours in (9%... of the planned iterations.. yikes!) and R just freezes. This happens in

Hello all, I want to extract the survival function estimate from a model fitted by survreg(). Using predict.survreg(..., type="quantile", p=seq(0,1,0.001)), gives the quantiles, which I managed to turn around into a survival function estimate (Prob{T > t} as function of t). Is there a more straightforward way of doing this? I have had difficulties using pweibull() with the

Hej Lennart, I would like to add one thing: Often, there already exists an R function that solves the problem at hand. Instead of writing your own function, search the help files [apropos(), help.search()]. What I some times find difficult though, is guessing what key words will produce relevant search hits... Mvh Sixten >>> <Lennart.Borgman at astrazeneca.com> 2004-02-17

Dear R-help members I would be grateful if anyone could help me with the following problem: I would like to combine two matrices (SCH_15 and SCH_16, they are attached) which have a species presence/absence x sampling plot structure. The aim would be to have in the end only one matrix which shows all existing species and their presence/absence on all the different plots(an_1, an_2 etc.) To do

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 categoricals with the self organizing map nodes. Thanks in advance. George Chen ----- Original Message ----- From: r-help-request at