similar to: Error in using nlevels in apply function

Full_Name: Wolfgang Huber Version: R-devel_2005-03-10 OS: alphaev68-dec-osf4.0f Submission from: (NULL) (62.253.128.15) This report concerns allocation of large (>2^31 byte) chunks of memory with R_alloc. I suspect it is a bug/typo but please don't hate me if it's actually a feature: In R, I can happily create large matrices: > a= matrix(0, nrow=191481, ncol=3063) > dim(a) [1]

Dear list, after fitting an lrm with the Design package (stored as "mymodel") I try running a summary, but I get the following error: dim(mydata) [1] 235 9 names(mydata) [1] "id" "VAR1" "VAR2" "VAR3" "VAR4" "VAR5" "VAR6" "VAR7" "VAR8" summary(mymodel) Error in `contrasts<-`(`*tmp*`,

I want to write a little stand-alone C program that calls R_alloc, but I get a segmentation fault: int main(int argc, char** argv){ double* d = (double *)R_alloc(2, sizeof(double)); // <- segmentation fault! return 0; } gdb reveals that sizeof(double) evaluated to 0: > R_alloc (nelem=2, eltsize=0) at memory.c:1649 so it results in the segfault later. This is how I compile my

Ahh yes, sorry about that. Here's the corrected snippet: # Create an Example Data Frame Containing Car x Color data carnames <- c("bmw","renault","mercedes","seat") carcolors <- c("red","white","silver","green") datavals <- round(rnorm(16, mean=10, sd=4),1) data <- data.frame(Car=rep(carnames,4),

Dear all, I try to calculate the number of occurring levels, per ObjektID, of cpy.busk$TradArt, but this line returns the TOTAL number of levels occurring in cpy.busk$TradArt for each ObjektID. This was difficult to say in English! Did you get it? Is there any function for doing what I want. I have tried searching the archives without success. buskartant<- aggregate(list(buskartant =

Hi, I've written a script that checks all bivariate correlations for variables in a matrix. I'm now trying to run a logistic regression on each pair (x,y) where y is a factor with 2 levels. I don't know how (or whether I want) to try to fathom what's up with glm. What I wrote is attached. Here's what I get. *****************************************************

Hi Group, I have a matrix, and I would like to replace numbers less than 0 by the smallest minimum number. Below is an small matrix, and the loop I used. I would like to get suggestions on the "R way" to do this. Thanks, Juliet # example data set mymat <- structure(c(-0.503183609420937, 0.179063475173256, 0.130473004669938, -1.80825226960127, -0.794910626384209, 1.03857280868547,

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file:

Hola, Por si lo quieres con colores rellenando cada punto: #---------------- library(data.table) library(lattice) dat <- read.table("pba.csv", header=TRUE, dec=",", as.is=TRUE) row.names(dat) <- NULL dat <- as.data.table(dat) dat$mycol <- ifelse(dat$sol =="ControlAE", "red", dat$sol) dat$mycol <- ifelse(dat$mycol

I would really like some help with understanding the panel function, in zoo. Thank you. R 15.1 and zoo 1.7-7. library(zoo) x = seq(0,3*pi,length.out=100) y = sin(x) zobj = zoo(y, x) ########################################################### ## EXAMPLE 1 - GLOBAL ARGUMENT ## This panel function works ## But, it relies on mycol, which is a global variable

This is probably easy for experienced users but I could not find a solution. I have several R scripts that process several columns of a dataframe (several dataframes and columns actually, but simplified for my question). References such as: myDF$myCol are all over. I like to automate this for other dataframes and columns by defining a reference only once in the beginning of the script. One

Hi, I'd like to ask you a question again. It is basically about data frames, NAs and tabulate function. I have this data frame. I already used this in one of the previous questions of mine. It intentionally looks this simple, my real 'df' dataframe is much bigger actually and again, I am not willing to annoy anyone with huge databases... So, my database: id

Full_Name: Jens Lund Version: 1.3.1 OS: Windows Submission from: (NULL) (194.239.194.210) When we subset a dataset bartlett.test does not calculate the df correctly: X <- rnorm(50) # Generate simulated samples f <- gl(10,5) # Generate a factor with 10 levels and # 5 replications of each level # Works correctly bartlett.test(X,f) # Correct number of df = 9 #

I've written a piece of code (see below) to do a wavelet image decomposition, during the evaluation of this code I would like to write the results of some calculations back to the R root directory. I used assign() to do so because the names should vary when going thrue a while() loop. For some unknown reason I get an error that says: Error in assign(varname[i], imwrImage) :

Dear everyone, I am new in R and I've got difficulties in realizing the following tasks: -I have variables (factors) with different numbers of levels, either 1, 2 or 3. -I have a matrix containing these 204 factors and I have to correlate them by groups of 4 variables. -I have to delete the factors just having one level ( because when correlating one-level factors, the output is NA) here

Hello List! I asked this before (with no solution), but maybe this time... I'm trying to project a surface to the XY under a 3d cloud using lattice. I can project contour lines following the code for fig 13.7 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but it fails when I try to "color them in" using panel.levelplot. ?utilities.3d says there

Hi, I'd like to compare SST data for year 2000 with SST for year 2001. I managed to get filled contour plots showing monthly SST for both years (12 plots for each year, 24 plots in total). In order to compare year 2000 and year 2001, however, I'd need to have the same legend scale (same color bar) in both years plots. Thus, my question is: is there a way to set the legend scale in

Hello, I came across a problem when building a randomForest model. Maybe someone can help me. I have a training- and a testdataset with a discrete response and ten predictors (numeric and factor variables). The two datasets are similar in terms of number of predictor, name of variables and datatype of variables (factor, numeric) except that only one predictor has got 20 levels in the training

Hi All, I'm having a problem with barplot: mydata [1,] 2 108 0 0 0 1 3 0 0 0 0 0 7 18 3 4 8 20 26 20 19 7 1 1 mycol = c(rep('yellow', 2), rep('white', 3), rep('orange',2), rep('white', 5), rep('orange',3), rep('red',9)) barplot(mydata, col = mycol) gives me an uniformly yellow barplot. How do I solve this? bw Federico

Dear R-users, I have written the following code to generate some trellis plots. It works perfectly fine except that it is quite slow when it is apply to my typical datasets (over several thousands of lines). I believe the problem comes from the loops I am using to subset my data.frame. I read in the archives that the tapply function is often more efficient than a loop in R. Unfortunately ,