similar to: problem using do.call and substitute for predict.glm using poly()

Hello, I want to use a for loop for repeadely calculating a maxent model (package dismo, function maxent()) which creates an object of the class maxent (S4). I want to collect all the resulting object in a list. I tried to simplify my for loop to explain what I want. There are two problems/questions: 1) How can I create the new variables in the loop (using paste) and assign the objects 2) How

I have over 300 variables in my table. I want to choose only a handful of those variables to run through many procedures. Lm(), glm() etc..i have over 10 procedures that i need to run those variables everytime. Those handful of variables can change everytime if output is satisfactory or not. I have done this in SAS. Now i need to know how to do this in R. Any help or even if someone can point to

Dear Colleagues: Through your help an R related installation issue was resolved, but I now have the following usage issue. On any "get.var.ncdf" usage I am seeing: Error: in routine alloca() there is a stack overflow: thread 0, max 535822282KB, used 0KB, request 24B The same error is posted on a file as small as 50MB and as large as 500GB, with ulimit set to unlimited. I

Dear Colleagues, I am trying to estimate several non-linear models simultaneously. I don't want to use non-linear mixed model, but non-linear model with same form, but it should be estimated separately according to variable group (I have lots of groups that have lots of observations....). I would like to have unique parameters for each group. e.g. something like this mod <- nls(y ~

Hi, I'd like to construct an R list object in C++, fill it with relevant data, and pass it to an R function which will return a different list object back. I have browsed through all the R manuals, and examples under tests/Embedding, but can't figure out the correct way. Below is my code snippet: #include <Rinternals.h> // Rf_initEmbeddedR and other setups already performed

Dear List, I have the following function: coca <- function(x, ...) { if(is.null(class(x))) class(x) <- data.class(x) UseMethod("coca", x) } and a default method coca.default <- function(x, y, method = c("predictive", "symmetric"), reg.method = c("simpls", "eigen"), weights = NULL,

Hi all, this series removes most users of the write_one_page API. These helpers internally call ->writepage which we are gradually removing from the kernel. Changes since v2: - more minix error handling fixes Changes since v1: - drop the btrfs changes (queue up in the btrfs tree) - drop the finaly move to jfs (can't be done without the btrfs patches) - fix the existing minix code to