search for: dreiss

Hi, I apologize if this topic has been discussed - I could not figure out a good search phrase for this question. I have a named vector x, with multiple (duplicate) names, and I would like to obtain a (shorter) vector with non-duplicate names in which the values are the means of the values of the duplicated indexes in x. My best (fastest) solution to this was this code: nms <- names( x )

Hi, I am trying to check a package via R CMD CHECK and it is failing with Error: '\s' is an unrecognized escape in character string starting "\s" The culprit looks something like this: gsub('\\s\\(.*\\)',"","this is a (test, man) dude") which is correctly escaped with the "\\"'s -- but it seems that R CMD CHECK is pre-escaping the

I have a very large tab-delimited file, too big to store in memory via readLines() or read.delim(). Turns out I only need a few hundred of those lines to be read in. If it were not so large, I could read the entire file in and "grep" the lines I need. For such a large file; many calls to read.delim() with incrementing "skip" and "nrows" parameters, followed by grep()

Hi, I am interested in a modification to LARS that allows for positive-only constraints in the variables (with details about how to implement this as described in section 3.4 of the Efron et al (2003) LARS paper). Before I dive into the "lars" package code myself, I was wondering if anyone knew of a version where this is available, or if another package that I have not found can do

Hi, I am making multiple calls to gzfile() via read.table(), e.g. > x <- read.table( gzfile( "xxx.gz" ) ) After i do this many times (I haven't counted, but probably between 50 and 100 times) I get the error message: Error in open.connection(file, "r") : unable to open connection In addition: Warning message: cannot open compressed file 'xxx.gz' however, I

Hello, I am trying to fit a GAM for a simple model, a simple model, y ~ s(x0) + s(x1) ; with a constraint that the fitted smooth functions s(x0) and s(x1) have to each always be >0. >From the library documentation and a search of the R-site and R-help archives I have not been able to decipher whether the following is possible using this, or other GAM libraries, or whether I will have to try