similar to: Easier ways to create .Rd files?

Quick question -- if I have a vector of strings that I'd like to split into two new vectors based on a substring that is inside of each string, what is the most efficient way to do this? The substring that I want to split on is multiple characters, if that matters, and it is contained in every element of the character vector. --j -- Jonathan A. Greenberg, PhD Postdoctoral Scholar

Hopefully this is a pretty easy fix -- I need to have R query the path separator for some code I'm trying to write (it involves using a system() call) -- the call requires a path and a wildcard, e.g.: command="mycommand /path/to/*.files" in the case of unix or, command="mycommand.exe C:\\path\\to\\*.files" on a windows box System.which is working correctly, so the

R-helpers: I'm working on an r-package that I want to make as easy-to-use as possible for a novice R-user, which includes automatically installing required packages. I, myself, am a novice R-packager, so the solution I came up with was to embed: print("Loading required packages...") if (!require("reshape")) { install.packages("reshape") } if

Quick informal poll: what is everyone's favorite text editor for working with R? I'd like to hear from people who are using editors that have some level of direct R interface (e.g. Tinn-R, Komodo+SciViews). Thanks! --j -- Jonathan A. Greenberg, PhD Postdoctoral Scholar Center for Spatial Technologies and Remote Sensing (CSTARS) University of California, Davis One Shields Avenue The

I'm hoping to get some "best practice" feedback for constructing a function call which takes an undefined set of DIFFERENT length vectors -- e.g. say we have two lists: list1=c(1:10) list2=c(2:4) lists = data.frame(list1,list2) coerces those two to be the same length (recycling list2 to fill in the missing rows) -- what is a quick way of having each of those lists retain their

Rhelpers: I'm trying to make a barchart of a 2-group dataset (barchart(x~y,data=data,groups=z,horizontal=FALSE)). My problem is that I can't, for the life of me, seem to get rid of the inter-bar space -- box.ratio set to 10000 doesn't do much. Any ideas? I'd ideally want zero space between the bars. Thanks! --j -- Jonathan A. Greenberg, PhD Assistant Project Scientist

I'm trying to redirect where temporary files go under R to D:\temp\somerandomname from its default (C:\Documents and Settings\username\Temp\somerandomname) -- how do I go about doing this? --j -- Jonathan A. Greenberg, PhD Postdoctoral Scholar Center for Spatial Technologies and Remote Sensing (CSTARS) University of California, Davis One Shields Avenue The Barn, Room 250N Davis, CA 95616

I'm trying to figure out the best way to do a scatterplot using the following data as an example: plothelp_x=1:10 plothelp_A1=sin(plothelp_x) plothelp_A2=tan(plothelp_x) plothelp_B=c("A","B","C","A","B","C","A","B","C","A") (note that all 4 of these vectors have 10 entries each) What I would

I have a numerical vector which contains a (poorly) formatted time column, which, in theory, should be HHMM, but was distributed as an integer, so, for 12:15 am, it is saved as "15" (e.g. HHMM = 0015 with the zeroes stripped). I'm trying to use this in conjunction with strptime, but I'm thinking because each time is an integer ranging from 1 to 4 digits, I probably need to

R-helpers: I have a data frame containing 4 factor variables (let's say A,B,C, and D) and 1 numerical variable (N). I would like to produce a cross-tabulated data frame in which A,B,C are individual columns, each factor of D is its own column, and the field is calculated as a given function of N (I would like to have two output data frames, one with the mean(N) and one with the

Rers: I have some ecological data (stream velocity vs. % cover of submerged weeds) that shows strong evidence of a thresholding step-function, e.g. below some velocity, % cover ranges from 0% to 100% (with no apparent relationship to velocity within this range of velocities), but above a certain "threshold" velocity, the % cover does not appear to exceed, say, 10%. There are good

R'ers: I was hoping I could get some direction on this. I have a dataset of the form: Y1,Y2,...,YM = f(X1,X2,...,XN), where N is >>> M The response data (Y1,Y2,...,YM) is frequency data, such that the sum of all Yi = 1.0. Both Xj and Yi are continuous variables. I'm trying to figure out the best approach(es) to solving for the model f() -- any ideas? I could solve

Our lab has a lot of different unix boxes, with different hardware, and I'm assuming (perhaps wrongly) that by setting a per-user package installation directory, the packages will only work on one type of hardware. Our systems are all set up to share the same home directory (and, thus, the same .Renviron file) -- so, is there a way to set, in the .Renviron file, per-computer or

Dear R-helpers, I am running R version 2.9.1 on a Mac Quad with 32Gb of RAM running Mac OS X version 10.5.6. With over 20Gb of RAM "free" (according to the Activity Monitor) the following happens. > x <- matrix(rep(0, 6600^2), ncol = 6600) # So far so good. But I need 3 matrices of this size. > y <- matrix(rep(0, 6600^2), ncol = 6600) R(3219) malloc: ***

Hello Everyone, We have recently purchased a server which has 64GB of memory running a 64bit OS and I have compiled R from source with the following config ./configure --prefix=/usr/local/R-2.9.1 --enable-Rshlib --enable-BLAS-shlib --enable-shared --with-readline --with-iconv --with-x --with-tcktk --with-aqua --with-libpng --with-jpeglib and I would like to verify that I can use

R-helpers: What would be the absolute fastest way to make a large "empty" file (e.g. filled with all zeroes) on disk, given a byte size and a given number number of empty values. I know I can use writeBin, but the "object" in this case may be far too large to store in main memory. I'm asking because I'm going to use this file in conjunction with mmap to do parallel

I'm trying to hunt down an appropriate kriging package for my specific application, and I was hoping someone on the R list might have some pointers -- I'm interested in performing kriging and related spatial interpolations with one of the R packages, but I need to be able to provide my own point-to-point distances (e.g. I do not want to use standard between point distances, as calculated

This is probably a very noobish question, but if I want to create a function that allows an undetermined number of, say, numeric vectors to be fed to it, I would use: myfunction = function(...) { # Do something } Right? If so, how do I a) count the number of vectors "fed" to the function, and b) how do I treat those vectors as variables, e.g. for the call:

R-helpers: It looks like http://finzi.psych.upenn.edu/search.html has stopped spidering the mailing lists -- this used to be my go-to site for searching for R solutions. Are there any good replacements for this? I want to be able to search both functions and mailing lists at the same time. Cheers! --j -- Jonathan A. Greenberg, PhD Assistant Professor Department of Geography University of

R-developers: I'm working on updating my R package "spatial.tools", and one thing I was wondering was the proper way to have hidden functions -- should I simply not export them to the namespace and use the ::: operator to call them (which is what I currently do)? --j -- Jonathan A. Greenberg, PhD Assistant Professor Global Environmental Analysis and Remote Sensing (GEARS)