similar to: documentation?

Hello, This is perhaps a little off-topic, but I am curious as to what compilers people use to compile R (under unix/linux). I am primarily interested in the use of egcs or gcc, g77 or f2c, etc. It seems most of the gcc interest and development is towards egcs, and while a gcc 2.8.1/g77 combination did work and compile R on my primary linux machine, it also managed to produce kernels that did

Hello, I have compiled 0.62.4 under Linux and it runs fine (a gcc/g77 combination). When I try the same thing under AIX (4.1.5) or under dec's OSF (both also gcc/g77) I get problems. Under AIX, system.c complains: system.c: In function `waitForActivity': system.c:150: `fd_set' undeclared (first use in this function) system.c:150: (Each undeclared identifier is reported only once

Hello, I managed to solve the problem myself. After fooling around with the machine(s) last night I discovered that either my groff (1.09) is either 'broken' or too old. This is on a 'homemade' linux machine and the groff was from 1994. After updating to groff 1.11 the docs came out just fine!! Jonathan Yuen phone: 46 18 672369 Swedish

Hello, With regards to Peter's comment, I got R to compile on OSF 4.0C, though I'm a little behind on versions. I only have 0.63.3 and haven't found anything newer... All kidding regarding typos aside, I went through that floating point exception business on the Alpha and I just didn't have time to make it work. Someone tipped me on to f2c, which I had used with my (old gcc

Hello, I decided to try to compile R version 1.0.0 on my home-hacked linux system. This is not a conventional distribution, but has been upgraded countless numbers of times (I think it started as a 1.2.13). It's up to 2.2.13 (kernel version) and I still use gcc 2.7.2.3. I have managed to deal with the fortran part of R with f2c. As it turns out I can compile the program OK, but when it

Hello, I take it all back. I just tried to comple 0.90.1 on my alpha (with f2c) and it didn't work. I'll look into it when I find time (I STILL usually run on my libretto and linux, even through my RS6000 workstation). Jonathan Jonathan Yuen, Professor in Plant Pathology phone: 46 18 672369 Dept. of Ecology and Crop Production Sciences fax: 46 18 672890 Swedish University of

Hello All, It appears that something is still not right with my linux systems. I can compile R (ie make and make install) but make check fails. It appears that the getwd and setwd functions don't work -- getwd returns gibberish. Thus I can run the graphics demo until it tries to read in the iris data. I'll admit I've done maybe too much to these systems to be able to get R to

Hello All, I have used that DCW data at PSU before, and one option (at that time) was to download ascii files with the lat/lon point pairs for each of the polygons for each country. The format was fairly easy to read (into SAS). I just looked at the page again but I was unable to download the ascii files. I don't know if this is a 'temporary' bug or a feature. You should also know

Thanks a lot to Demitris for a prompt answer some minutes ago on another tread (see below). To avoid excess mails on the list, I move onto next question: I have another small plotting problem that confuses me. I want to plot results from a field trial series, using the numbers of the trials as symbols in the plot. pch = as.character(trial_no) works fine, but truncates the trial number to the

Dear all, W.XP I recently upgraded to R2.10.0 and did what I usually do: copied all "special" libraries from the old installation and then used "update.packages()" on the command line. Nothing happened. Then I clicked on the same command on the droplist which generated "update.packages(ask='graphics')", but still with no effect. When I tried to load the

Hello all, I posted a similar question recently but I suspect that it was not well enough formulated to trigger any answers. So I try again: Is there a way to produce boxplots (or something similar) that uses the estimated fixed effects of an lme{nlme} object? When I want to know the mean, I use estimable{gmodels} together with an appropriate matrix. I did look for a similar tool to estimable in

Hi! I’m running glmer (lme4) models with biodiversity data and I’m having trouble with understanding/finding information on how the offset() option is implemented. Explicitly, I’m wondering if the offset is only implemented on the dependent variable (as I think it is), or does it also affect independent variables in the model (was told this by a stat guy at our department)? My data is

Dear all, W2k, R 2.5.1 I am trying out the AMMI function in the agricolae package, to analyse the dependence of environment for a certain cultivar. The function responds to four basic variables: ENV Environment GEN Genotype REP Replication Y Response My question concerns the 'REP' term. When I normally do an analysis of variance, the replication would refer to repeated observations

Hello all, R2.1.1, W2k I try to make a plot of a simple regression model in this way: > with(njfA_bcd, { + plot(TC_OS.G31,Prot,cex = 2, col = "red", xlab= "TC/OS at GS32", + ylab="Grain crude protein (CP)") + }) This part works well and produces the datapoints as red circles. When I try to add a line, using a fitted linear model in a way that works perfect

> To: Jonathan.Yuen at tvs.slu.se > Cc: "G.Janacek" <G.Janacek at uea.ac.uk>, r-help at stat.math.ethz.ch > Subject: Re: [R] Installing on DEC 4.0b > From: Peter Dalgaard BSA <p.dalgaard at biostat.ku.dk> > Date: 12 Feb 1999 13:25:18 +0100 > > Jonathan.Yuen at tvs.slu.se writes: > > > I don't know how well it is documented, but you need gnu

Dear all, Does anyone know of a function that calculates the area of the outer polygon constructed from a data frame with co-ordinates? For example, library(splancs) test = rbind(c(0,0), c(10,0),c(10,10),c(0,20)) plot(test) areapl(test) [1] 150 This is OK, but I want the same area to be returned (150) when adding yet another co-ordinate in the middle of the polygon: test = rbind(c(0,0),

Hello all, R2.1.1, Wk2 I am doing some two-step plotting, first using plot() to illustrate the datapoints and then using abline() to place a trend line from a fitted model into the plot. Everything works well as long as the formula of the fitted model i of the type: m1 <- lm(Dependent ~ Independent) then abline(m1) puts the proper straight line into the plot. But if I use: m2 <-

Hello all, R2.2.1, W2k I posted a similar question last week after having problem with a group update (using update.packages()), without getting any answer. Now I have updated all packages separately, and found that the problem comes from nlme: Everything comes home, the md5 checksums are ok, but then the old version can??t be removed from my computer, leaving a "nlme" library with

Dear all, I would like to get the order of the values in a vector. I have tried rank(), order() and searched the archive, though without success. Here is an example of a try x= c(20,30,50,40,60,10) cbind(sort.list(x),x) x [1,] 6 20 [2,] 1 30 [3,] 2 50 [4,] 4 40 [5,] 3 60 [6,] 5 10 but I was hoping to get this: x [1,] 2 20 [2,] 3 30 [3,] 5 50 [4,] 4 40 [5,] 6 60 [6,] 1 10 I'm

Dear all! W2k, R 2.5.1 I am working with an ongoing malting barley variety evaluation within Sweden. The structure is 25 cultivars tested each year at four sites, in field trials with three replicates and 'lattice' structure (the replicates are divided into five sub blocks in a structured way). As we are normally keeping around 15 varieties from each year to the next, and take in 10 new