similar to: Error: cannot allocate vector of size...

Hello all: I'm sure this is quite simple, but I tried several options and I still can't get I right. I've got a data.frame and I want to delete all columns of which the sum is zero. Any ideas? Thanks, Frederico Mestre [[alternative HTML version deleted]]

I have a comma delimited text file in which many columns of numbers are also quoted and have commas as well as decimals. I was surprised to find read.csv() didn't import this seamlessly, even after messing around with the colClasses argument. I did find a solution to convert the character strings after reading them in, but wonder if there isn't a better one I overlooked. test =

Hello all, I've got a problem with a function in a R package I've developed (MetaLandSim). One of the outputs of my function is the plotting of four images (combining a graph and a map). This plotting is made in a graphical device, with the graph in one side and the map in the other. My function works perfectly fine until it has to plot the map. Then it stops and I get an error.

Hi all, I'm having a strange error that prevents me from installing new packages, or updating packages after reinstalling. The error message is Warning: unable to move temporary installation ‘C:\Program Files\R\R-2.14.2\library\file15045004ac2\sandwich’ to ‘C:\Program Files\R\R-2.14.2\library\sandwich’ for one of the packages that is failing to install/update. This error started happening

Hello, I used the glm function in R to fit a dose-response relationship and then have been using dose.p to calculate the LC50, however I would like to calculate the NOEL (no observed effect level), ie the lowest dose above which responses start occurring. Does anyone know how to do this? [[alternative HTML version deleted]]

Hello all: Is there any way to add points to a point pattern, while keeping a given minimum distance amongst this new points and the pre-existing points? Thanks, Frederico [[alternative HTML version deleted]]

Hello: What I want to do is quite simple, but I can't find a way. I have a data frame with several points (x and y coords). I want to add another column with cluster membership. For example aggregate all the points that stand within a distance of 40 from each other. I've tried using "nncluster" from the package nnclust, but the results are not correct, for some

Hey all, I need some help with a cross validation. I'm new with R and as well with statistics. I had a group work to create a tool for remote sensing class that extracts the best bands of hyperspectral satellite images that describe vegetation. Its a regression between a linear function of using a normalized differenced index (i-j)/(i+j) while i and j are the bands (in the data these are the

Hi All In the past I have worked with parallel processing in R where a function F is applied to the elements of a list L. The more cpu cores one has, the faster the process will run. At the time of launching the process for (F,L) I will have a certain fixed number of cpu's that I can use. I have tested this approach and it works fine (i.e. package 'multicore' , using 'mapply'

Dear list, I am trying to reclaim what I think is lost memory in R, I have been using gc(), rm() and also using Rprof to figure out where all the memory is going but I might be missing something. I have the following situation basic loop which calls memoryHogFunction: for i in (1:N) { dataset <- generateDataset(i) fit <- try( memoryHogFunction(dataset, otherParameters)) } and

Hi, I have a query which I would like to translate into R, but I do not know how to do it in an easy way. Assume a data frame has columns A, B and C: A B C 1 1 3 1 1 4 1 1 5 1 2 6 1 2 7 1 3 8 The query is as follows: select A, B, count(*) from data.frame group by A, B order by count(*) desc How do I translate this into R statements in such way that the result is a data frame structured as

Hello: Sorry, this might look like a beginner question, but I'm just starting to work on the C and R interface. I'm trying to compile a C file (with a function) to load it to an R function but, in the command line I keep getting a lot of errors, like: "C:/Program~1/R/R-215~1.0/include/Rinternals.h:1066:1: error: expected declaration specifiers before 'SEXP'"

Everyone, I'm very new to R, especially when it comes to loops and functions, so please bear with me if this is an elementary question. I cannot seem to figure out how to construct a loop which runs a function until a certain value is computed. For example, say I have the following: num = numeric (10) num [1] = 0 for (i in 2:10) { num [i] = num [i-1] + 5 } This adds 5 to the

Hello I am new in R. I am trying to implement Biomod 2 package. However, I have a doubt. I want to calculate the mean and sd of "Testing.data" (ROC and TSS) > # let's print the ROC scores of all selected models > myBiomodModelEval_55["ROC","Testing.data",,,] RUN1 RUN2 RUN3 RUN4 RUN5 RUN6 RUN7 RUN8 RUN9 RUN10 0.938 0.938 0.926 0.931 0.939

Dear All, I'm a beginner user in R and I would like to make a quadratic and plateau model in R. Can you help please with an example? Thanks so much -- Ahmed M. Attia Assistant Lecturer El-Khattara farm Station Agronomy Dept., Zgazig Univ., Egypt Visiting Scientist Haskell Agricultural laboratory Agronomy and Horticultural Dept., Univ. of Nebraska-Lincoln ahmedatia at zu.edu.eg

Dear r helpers, I'm trying to run the models of the BIOMOD package and got this message: * Error in nnet.default (x, y, w,...): **initial value in 'vmmin' is not finite* What does this mean? and how can I correct it? Thank you *Andreia* [[alternative HTML version deleted]]

Dear R developers, I come to you because nobody was able to answer the following request yet. I'm developing a release of BIOMOD package called biomod2 ( https://r-forge.r-project.org/R/?group_id=302). I'm writing my package helps files and I'm not really satisfied by the visual results. I would like to make subsections in the package "function help index" file. I would

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",

Hi all! Do you know if there is any R function/package that can be used to estimate "logit" models with panel data and forecasting? Thanks, Moysés. -- Moysés Nascimento Bacharel em Estatística/UFES Mestre em Estatística Aplicada e Biometria/UFV Doutorando em Estatística e Experimentação Agropecuária/UFLA moysesnascim@gmail.com [[alternative HTML version deleted]]

Hello! I am trying to duplicate the studentized bootstrap confidence interval calculations in boot.ci() without using boot.ci(). My w/o boot.ci() calculations are close to boot.ci() using the same object from implementation of boot(), but not quite the same (I think the differences are due to how quantiles are computed for z*). Through examining the boot.ci() code, I can see there is a call