similar to: How to sort TWO columns ?

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 -----------------------------------------------------

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 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 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

JGR has an fairly intelligent editor, and it works on Mac. Andy > From: Sean Davis > > Consider using ESS and xemacs or emacs. You get syntax highlighting, > auto-indent, command auto-complete, transcripts for your session, > integrated help, and the tools of one of the most powerful > text editors > on the planet. The learning curve is a bit steep, but if you use R

Dear R-users, i have two questions : 1- first of all, i wish to know the way to obtain a serie with a format like "00" : ( "01","02","03","04"....) or like postal code ("01100","02222"). for instance, i do : > format(strptime(as.character(c(1:4)),"%H"),"%H") but it sounds complicate and not really

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

> -----Message d'origine----- > De : Andrew Bartlett [mailto:abartlet at samba.org] > Envoyé : samedi 26 août 2017 12:40 > À : HB; samba at lists.samba.org > Objet : Re: [Samba] DC Upgrade from 4.1.7 to 4.6.7 > > On Sat, 2017-08-26 at 12:32 +0400, HB via samba wrote: > > > > > Here is the output of samba-tool dbcheck : > > # samba-tool dbcheck >

Hello eveybody, I am studying the vertical distribution of plankton and want to study its variations relatively to several factors (time of day, species, water column structure etc.). So my data is special in that, at each sampling site (each observation), I don't have *one* number, I have *several* numbers (abundance of organisms in each depth bin, I sample 5 depth bins) which

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 *

> -----Message d'origine----- > De : samba [mailto:samba-bounces at lists.samba.org] De la part de Rowland > Penny via samba > Envoyé : samedi 26 août 2017 12:00 > À : samba at lists.samba.org > Objet : Re: [Samba] DC Upgrade from 4.1.7 to 4.6.7 > ... > On Sat, 26 Aug 2017 11:28:00 +0400 > > Hi, > > > > I have begun to add a new 4.6.7 DC (following

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

Hi all, I have a very large binary vector, I wish to calculate the number of 1's over sliding windows. this is my very slow function slide<-function(seq,window){ n<-length(seq)-window tot<-c() tot[1]<-sum(seq[1:window]) for (i in 2:n) { tot[i]<- tot[i-1]-seq[i-1]+seq[i] } return(tot) } this works well for for reasonably sized vectors. Does

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"

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

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 all, I have the following data frame: > raw.count Var1 Freq 1 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA 707 2 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC 14 3 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAT 3 But why when printint it using 'cat', it doesn't print the desired string "AAA" ? > cat(raw.count$Var1,

Dear all, I have a dataset. I want to make barplot from this data. Zero1 <- " V1 V2 V3 V4 V5 V6 V7 V8 V9 1 1 0 0 0 1 0 0 0 Positive 2 0 0 1 0 1 0 1 1 Negative 3 0 0 1 0 0 0 1 1 Positive 4 0 1 0 1 1 1 0 1 Negative 5 0 0 1 0 1 1 0 0 Positive 6 0 1 0 0 1 1 1 1 Negative 7 1 0 1 1 1 1 1 1 Negative 8 0 0 0 0 1 0 0 1