similar to: an R script editor for Mac

Hi, I would like to be able to use R with a connection to a PostgreSQL database. I am using R 2.0.1 on windows XP. I have tried installing both the DBI and rDBI packages (which is better?) but in either case I run into the same problem - when i try to use either the dbDriver or dbConnect functions i'm told the function couldn't be found. Seems like the packages aren't installing

Dear ALL, I fear my question has already been answered many times before, but I haven't fund that in archives... I am working on spatial datasets and, in most arrays I'm handling, there are two columns dedicated to (x,y)-coords. For different reasons - notably to draw image() plots, I need to have these two columns sorted in increasing order. But sort() and order() seem to apply to

I cannot operate lattice plots, notably those in package gstat, within for() loops. (I can neither read such graphics included in a .R (or .txt) file with the source() function). However same commands executed one by one don't fail. Could you please help me find a means to execute lattice plots inside a loop ? Jacques VESLOT CIRAD -----------------------------------------------------

Dear all, I have a matrix X with 47 lines and say 500 columns - values are in {0,1}. I'd like to compare lines. For that, I first did: for (i in 1:(dim(X)[1]-1)) for (j in (i+1):dim(X)[1]) { Y <- X[i,]+Y[j,] etc. but, since it takes a long time, I would prefer avoding loops; for that, my first idea was to add this matrix: X1=X[,rep(1:46,46:1)] to this one: res=NULL for (i in

Dear R-users, Someone, who uses R under Mac, wants to insert a couple of small plots (each with several lines) in an article, but he has to reduce plots' size significantly. He did it (in pdf or enc. ps) but, unfortunately, everything is reduced but lines' width. Besides, 'lwd' argument in par() or plot() can't be less than one. I am not a Mac user and I don't know

Dear all, I tried to use layout argument in xyplot to get one panel per page. I have a dataframe named 'data' with the following variables: x, y = coords, sub, bloc = 2-level factors, etat = 5-level factor, I did : > lset(theme = col.whitebg()) > xyplot(y ~ x | bloc*sub , data=data, groups=etat, + layout=c(0,1,4), + main="Etat des plantes dans chaque

Dear R-users, Is there an easy way to avoid points one upon another when ploting rows and columns of 'dudi' objects ? Maybe there is a function in ade4 or in an other package, or maybe someone has his or her own function to do this (for example to automatically modify a little the coordinates of these points to get a readable plot ?). Thanks in advance. Best regards, Jacques VESLOT

Hi, I got the following error message when running a function of mine doing intensive computations: Erreur dans .Call("R_lazyLoadDBfetch", key, file, compressed, hook, PACKAGE = "base") : r?f?rence d'argument par d?faut r?cursive I haven't found neither where the problem lies nor what could be recursive. Besides, I wonder whether it might or not be a problem

I am sorry to ask such question, but I can't find a solution... I have a dataframe 'd2004' and I want to remove two columns: 'd2004$concentration' and 'd2004$stade". I could do it just as follows: > names(d2004) [1] "Localite" "Date" "parcelle" "maille" "presence.plant"

Dear R-users, My question is how to get right F tests for random effects in random effect models (I hope this question has not been answered too many times yet - I didn't find an answer in rhelp archives). My data are in mca2 (enc.) : names(mca2) [1] "Lignee" "Pollinisateur" "Rendement" dim(mca2) [1] 100 3 replications(Rendement ~ Lignee *

Dear all, (Sorry if the question has already been answered.) Could someone please suggest a good text editor for writing R sources ? (I know emacs exists ... but I find it a bit heavy). I use crimson (http://www.crimsoneditor.com) which is small and simple, but the R syntax seems not to be supported. Thanks for any advice

Hi, Use Newdata <- subset(d2004, select=-c(concentration,stade)) See ?subset for details Best, Matthias > -----Urspr??ngliche Nachricht----- > Von: Jacques VESLOT [mailto:jacques.veslot at cirad.fr] > Gesendet: Donnerstag, 09. September 2004 12:38 > An: r-help at stat.math.ethz.ch > Betreff: [R] Indexing dataframe > > > I am sorry to ask such question, but I

Dear All, I have a data, suppose it is an N*M matrix data. All I want is to classify it into, let see, 3 classes. Which method(s) do you think is(are) appropriate for this purpose? Any reference will be welcome! Thanks! Best, Baoqiang Cao

Hello, Sorry about the last email, I just found the shortcutkey for sending, by mistake :-( OK. I am a windows user and I wanted to instal emacs. However, went to speak with the information staf on the institut and they told me that that is a bit problematic sometimes, and that there is a free soft that could do a very similar job which is crimson... This is like a note pad, but highlights the

Dear R-users, Sorry for reposting. I put it in another way : I want to test random effects in this random effect model : Rendement ~ Pollinisateur (random) + Lignee (random) + Pollinisateur:Lignee (random) Of course : summary(aov(Rendement ~ Pollinisateur * Lignee, data = mca2)) gives wrong tests for random effects. But : summary(aov1 <- aov(Rendement ~ Error(Pollinisateur * Lignee), data =

Dear List.... sorry to bother you R-gurus with such an "unstatistical" question... but I face a problem using Crimson Editor with R 2.01.1 that I never had using R 2.00.1. I already posted on the Crimson Editor forum but it seems to be VERY few R-users there.... I successfully used R v2.00.1until now (under Windows XP professionnal, version 2002, Service Pack 2, P4 processor CPU 1.8

Dear all, I'm used to draw bubble plots (gstat) to get a first view of my spatial marked data, but I can't find a way to label legend with marks after having replaced them by a numeric scale. I have a data frame with numeric coords and factors: > names(data) [1] "x" "y" "bloc" "sub" "inoc"

Dear all, I have a dataset with qualitative variables (factors) and I want to test the null hypothesis of independance between two variables for each pair by using appropriate tests on contingency tables. I first applied chisq.test and obtained dependance in almost all cases with extremely small p-values and warning messages. > chisq.test(table(data$ins.f, data$ins.st))$p.val [1]

Hi R guru coders I wrote a bit of code to add a new column onto a "topTable" dataframe. That is a list of genes processed using the limma package. I used a for loop but I kept feeling there was a better way using a more vector oriented approach. I looked at several commands such as "apply", "by" etc but could not find a good way to do it. I have this feeling there

I partly answered my question since independence_test() function in coin package apparently do Cochran-Armitage trend test just like Eric Lecoutre's function tabletrend() - slightly modified here: > independence_test(pheno ~ geno, data = dat2, teststat = "quad", scores = list(geno = c(0, 1, 2))) Asymptotic General Independence Test data: pheno by groups 1 < 2