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Is there a means to split a vector into its individual elements without going the brute-force route for arguments to a predefined function call? offred.rgb <- c(1, 0, 0) * 0.60; ## Brute force style offred.col <- rgb(offred.rgb[1], offred.rgb[2], offred.rgb[3], names = "offred") ## Desired style

On Sun, 11 Jul 2004, Gabor Grothendieck wrote: > search.path <- > function(fn, > paths = strsplit(Sys.getenv("PATH"), split = ";")[[1]], > fsep = "\\") { > for(d in paths) { > f <- file.path(d, fn, fsep = fsep) > if (file.exists(f)) > return(f) > } > return(NULL) > } >

Is there a canonical means to apply a function over multiple arrays simultaneously? For example, if I wanted to plot each line with a different color? Or is a for loop conversion my best option? x <- seq(0, 8, by = 2) y <- matrix(1:15, nrow = 5, byrow = TRUE) my.colors <- heat.colors(3) drawLines <- function(row) { lines(x, row) # want corresponding 'my.colors' here }

I'm translating some Matlab code and need some help figuring out how to change this call into an S4 generic method. In matlab, there's a function called 'repmat' with three calling sequences (all I have to deal with anyway): 1) B = repmat(A, m, n) 2) B = repmat(A, [m n]) 3) B = repmat(A, n) In all cases, A is the fill value, m is number of rows, and n is number of

R 2.1.0/src/include from 2005/04/18 download Naming inconsistent for guards as well but that's pedantic. Simple convention: file <foo.h> #ifndef R_FOO_H file <R_ext/bar.h> #ifndef R_EXT_BAR_H Missing guards: <IOStuff.h> <Internal.h> <Parse.h> <R_ext/GraphicsBase.h> <R_ext/GraphicsDevice.h> <R_ext/GraphicsEngine.h>

Had been looking into Luke Tierney's R_AllocatePtr() and was left with a question about exactly when does R reclaim heap memory. Implication of 'simpleref.nw' is that one can allocate C data on the R heap, and as long as pointer object is alive, the data and pointer will remain valid. But it calls allocString() which is implemented using R_alloc(). 'Writing R Extensions" says

I want the equivalent of this 'C' declaration. enum StoplightColor { green = 3, yellow = 5, red = 7 }; This mostly works except the validity checking doesn't seem to occur automatically. What didn't I do to enable it? setClass("stoplightColor", representation(value = "integer"), prototype = integer(1))

Needed to redefine function "sum" for my MATLAB package. There's something similar in Chambers's Green Book (pg 351) so I modified it as such: library(methods) setGeneric("sum", function(x, ..., na.rm = FALSE) { if (nDotArgs(...) > 0) sum(c(sum(x, na.rm = na.rm), sum(..., na.rm = na.rm))) else standardGeneric("sum") })

Hi, I'm trying to get C code working with R. This is my first time writing C on Windows and I'm making a mess of it. Help! I'm following the example in Roger Peng's "An Introduction to the .C interface to R". The C code is: #include <R.h> void hello(int *n){ int i; for(i=0; i < *n; i++) { Rprintf("Hello, world!\n"); } } I seem to be unable

Hallo, does a package for Matlab exist in R? If yes, where can I find it and how can I install it under R? Thanks, Corinna

Can the value of a list element be referenced from a sibling list element during list creation without the use of a temporary variable? The following doesn't work but it's the general idea. > list(value = 2, plusplus = $value+1) such that the following would be the output from str() List of 2 $ value : num 2 $ plusplus: num 3

How would one go about getting sprintf to use the values of a vector without having to specify each argument individually? > v <- c(1, 2, -1.197114, 0.1596687) > iv <- c(3, 1, 2, 4) > sprintf("%9.2f\t%d\t%d\t%8.3f", v[3], v[1], v[2], v[4]) [1] " -1.20\t1\t2\t 0.160" Essentially, desired effect would be something like: >

Wish to install a local source package on Un*x platform from within R. Same thing as I can accomplish from cmdline as $ export R_LIBS=~/R/library $ cd /path/to/pkg $ R CMD INSTALL -l $R_LIBS <pkgname> So, how do you go about this anyway? And isn't this a bug in 'install.packages'? ------- $ R R : Copyright 2004, The R Foundation for Statistical Computing Version 1.9.0

What's the best way to simulate Recall for parent function? Consider this one-time recursive code: alwaysEven <- function(x) { handleOdd <- function(x) { alwaysEven(x-1) # use Recall-like here } return(if (x %% 2) handleOdd(x) else x) } any2even <- alwaysEven rm(alwaysEven) any2even(3) ---------------------------------------------------------- SIGSIG --

Was looking at what was output for <pkgname>-package.Rd and wondered if any there was any means (via macro, etc) to merge some of the same information with a template for my package manpage? As much (all?) of the generated information was already provided in the DESCRIPTION, I'd prefer not to have to update the information in multiple places. I'm thinking here that I could provide a

I have the following: > a <- matrix(1:10, nrow = 2, byrow = TRUE) > b <- array(as.integer(0), c(7, 5)) > idx <- list() > length(idx) <- 2 > dim(idx) <- c(1, 2) > idx[[1]] <- as.integer(1:2) > idx[[2]] <- as.integer(1:5) I can do the following, which works if 'b' is a matrix. > b[idx[[1]], idx[[2]]] <- a > b [,1] [,2] [,3] [,4] [,5]

I have some code where the primary dispatching is on other parameters so I'd like not to have to create a set of functions for "matrix" and another duplicate set for "array". But the class union technique isn't working as implemented below and I don't have my Green book with me. How do I fix my infinite recursion problem?

On Mon, 6 Feb 2006 18:12, Simon Urbanek wrote: > On Feb 6, 2006, at 5:24 PM, Paul Roebuck wrote: > >> Tried on R-Sig-Mac with no responses, but I need some kind >> of answer. >> [...] >> Does the following work on your system? > > Interesting, no, it doesn't either. For png and pdf I use > Quartz + quartz.save (it produces much nicer results) so > I

I have the following contrived code in package format. On Solaris and Mac OS X, code runs just fine. On Windows, it crashes the R environment with the "Send Bug Report" dialog. I tried R 1.8.1 (Win2K) and R 1.9 (WinXP) binaries with the same result. PCs otherwise appear properly configured for creating R packages. Anything blatantly wrong? Suggestions? TIA Relevant files from package

I recently encountered this and was wondering if someone could explain what happened. Basis of question involves what the difference between the calls makes as the end result is the same: > identical(matrix(1:8, nrow = 1), array(1:8, c(1, 8))) TRUE If I run the code below as shown, I get the following: > foo(1:8, 4) foo (vector, numeric) val = 4 foo (matrix, ANY) val = 500 foo