similar to: Huge matrix: allocation works but assignment fails

Hi, I'm trying to introduce a (spatial) exponential correlation structure (with range=200 and nugget.effet of 0.3) in a lme model of this form: lme(ARBUS~YEAR, random=~1|IDSOUS). The structure of the data is "IDSOUS" "XMIN" "YMAX" "YEAR" "ARBUS" with 2 years of data and 5600 points for each year. I do:

Dear all, I am trying to aggregate a table (divided in two lists here), but get a memory error. Here is the code I'm running : sessionInfo() print(paste("memory.limit() ", memory.limit())) print(paste("memory.size() ", memory.size())) print(paste("memory.size(TRUE) ", memory.size(TRUE))) print(paste("size listX ", object.size(listX)))

Dear R users, I try to use a very large file (~3 Gib) with the filehash package. The length of the dataset is around 4,000,000 obs. I get this message from R while trying to "load" the dataset (named "cc084.csv"): > dumpDF(read.csv("cc084.csv", header=T), dbName="db01") Erreur : impossible d'allouer un vecteur de taille 15.6 Mo (French) Error:

Hi All, A question from a newbie using R 2-5-0 on windows XP. Why is it that kmeans clustering with apparently the exact same parameters behaves so differently between the two following examples : > cl1 <- kmeans(subset(pointsUXO15555, select = c(2:4)), 10) Takes about 2 seconds to deliver a result > cl1 <- clust(subset(pointsUXO15555, select = c(2:4)), k=10,

Hi all, I am running an -MNP- multinomial probit model package using R. It gives me the following objection instead of giving me the results: Erreur : impossible d'allouer un vecteur de taille 137.9 Mo (in english: cannot allocate a 137.9 Mb vector memory).  I have already increased the memory size upto 2047Mb. This problem has been discussed in 2008 (archives) but no profitable answers were

HI >i have a problem please help me to solve it: http://r.789695.n4.nabble.com/file/n4639434/aj.pdf aj.pdf >i want to calculate the vecteur a[j] where j: 1...8 >this is the code in R: >aj.fun <- function(j, i, X, z, E, beta0, beta1){ + n <- length(X) + iX <- order(X) + iz <- order(z) + e1 <- -(beta)*z[ iz[1:(i - 1)] ] + numer <- E[j] - sum( X[ iX[1:(i - 1)] ]

Hello I would like to transfer some Splus functions in R. But I have a problem first about this assignation in Splus : xnom <- deparse(substitute(x)) I am a bad programmer : I don't understand the R help How to modify these functions ? Thank you very much for your help Here are the four functions and a data test

Hi, I'd really appreciate if someone could give me some help or advice about this - I've tried everything I know and am clueless about how to proceed! I've written a script to import ASCII data of raster maps, bin them into categories, calculate the mean values within these bins and plot the two in a simple graph. I'm running into problems with my x axis, as R cannot add the bin

Hi the list, I need to write some efficient distances function, so I read the code for the Euclidean distance. I do not understand the purpose of the line 11 : if x[i] and y[i] are not NA (line 9), can dev be NA ? Christophe #define both_FINITE(a,b) (R_FINITE(a) && R_FINITE(b)) #define both_non_NA(a,b) (!ISNAN(a) && !ISNAN(b)) 1. static double R_euclidean2(double *x, double

Hello, I'm a new R user and I'm having a little trouble getting started. I'm hoping someone can help me out. I read numbers (integer) from a SQL database. Some calculations as mean()are possible but hist() give an error. Here are the commands: library(RMySQL) Loading required package: DBI > con <- dbConnect(dbDriver("MySQL"), dbname = "test") >

Hi, poids taille fumeur sexe sport etat 85 184 oui homme 1 malade 65 175 oui homme 1 malade 74 180 oui homme 2 gueri 79 175 oui homme 2 malade 71 165 non homme 3 gueri 80 185 non homme 3 gueri 75 180 non homme 4 malade 69 155 non homme 4 malade 74 168 oui

Hi, Dear R users I have problem with the following code. The matrix result must be a matrix (3x3). But I have obtained a matrix(3x1) and I don't know why. So, I need your help Best regards ##################################################################### taille <- function (delta, t, prob = 0.2) { niv.conf <- c(0.90, 0.95, 0.99) if(niv.conf <- 0.90) { t <- 1.645 }

en fait je vous renvoi ce message car maintenant la taille de la police change au bout de 500 lignes environ, alors que j''avais reussi à garder la taille jusqu''à environ 5000 lignes. Je ne comprend pas. Est-ce que c''est instable? le bout de code que vous m''avez envoyer ne marche pas. merci Sebastien _______________________________________________ wxruby-users

Bonjour. Une fois mon application ouverte, je voudrais savoir, si cela est possible, comment dimensionner automatiquement la totalité des colonnes du grid à la taille de mon boxsizer, quand je change la taille de mon application? (puique mon grid est inséré dans mon boxsizer). merci

Hi all R users I did a logistic regression with my binary variable Y (0/1) and 2 explanatory variables. Now I try to draw my nomogram with predictive value. I visited the help of R but I have problem to understand well the example. When I use glm fonction, I have a problem, thus I use lrm. My code is: modele<-lrm(Y~L+P,data=donnee) fun<- function(x) plogis(x-modele$coef[1]+modele$coef[2])

Hi all, I mounted by smbmount a partition on a winNT machine without problem... but when i tried to copy a file whitch have size more than 2 Gb i have the following error : Overflow size allowed for a file (translated from french ;-) :D?bordement de la taille permise pour un fichier ) PS. the file system of the harde drive is NTFS PS. The command of smbmount : /usr/sbin/smbmount

Hello folks, I have a compiler written with LLVM 2.6 by a student that produces .ll files, It behaved fine at the time. Trying to take the work over using version 3.0, I run into the problem that "malloc" in the IR is no longer valid: semac1 menu > llvm-as Carre.ll llvm-as: Carre.ll:68:14: error: expected instruction opcode %_malloc = malloc i8, i32 %2 ;

Dear R users, When I try to resize a graphics device in R, I often get this warning message (mostly when I already have several other graphics devices open) : "Not enough memory to modify the size. Alpha blending is desactivated" (translation from the french message: "Mémoire insuffisante pour modifier la taille. L'"alpha blending" est désactivé"). Following

Dear r-help list, I'm trying to use multiple imputation for my MSc thesis. Having good exemples using the Hmisc package, I tried the aregImpute function. But with my own dataset, I have the following error : Erreur dans matxv(X, xcof) : columns in a (51) must be <= length of b (50) De plus : Warning message: In f$xcoef[, 1] * f$xcenter :   la taille d'un objet plus long n'est pas

Bonjour, Je veux cherché l’estimateur de vraisemblance maximal (MLE)d’une fonction à 3 paramètre inconue étant donné une échantillon de taille 50 (les observations des valeurs de x) alors comment je peux procédé La fonction de densité est définie par : f(x)= 1/3(g(a1)+g(a2)+g(a3)) avec g(ai)=(exp(ai)*ai^x)/x! pour i=1,2,3. Je vous remercie beaucoup. A. Elhabti