similar to: [Q] Apply Function Over Multiple Array Margins

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) > } >

Anyone aware of tools available that can provide complexity metrics and/or code coverage analysis for R source? ---------------------------------------------------------- SIGSIG -- signature too long (core dumped)

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'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

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

Hi list, Does any body know how I can create a margin area around the graphic created by xyplot (the same thing we do using par in plot function)? I tried viewport, but does not work. Here is the code: ============================================== require(grid) vp<- viewport(x=.1,y=.1,width=.6,height=.6,just=c("left", "bottom")) pushViewport(vp)

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

Hi, I am learning xyplot. I have an example dataset attached. plotdata<-read.table("plotdata.txt",sep='\t',header=T,row.names=1) head(plotdata,n=4) y x type 1 -4.309601 -0.7448405 A 2 -4.715421 0.7875994 A 3 -2.310638 0.5455310 A 4 -2.685803 10.4116868 A xyplot(y~x,groups=type,plotdata, auto.key=T) This shows different colors for different

Add the following to example section of a dot-Rd manpage: ## :WHY: The following kills R CMD check but runs fine on console. foos <- c("aaa", "bbb", "ccc") cat(sapply(foos, function(foo) { sprintf("name: %-18s upper: %s\n", foo, toupper(foo)) }), sep="") R CMD

This is really a question of how to program this *BETTER*. It works as I have done it, but is quite ugly. I want to do a 3d scatterplot of the upper triangle of a matrix, where the z-values are the values in the matrix, and the row and column indices are the y- and x-values. The complete (11 by 11) matrix is mmtop94.2. Here is my awkward code: mmtop94.2[lower.tri(mmtop94.2)] <- NA # Here i

Hello everyone. I am using ggplot and I need some help to merge these two plots into one. plot_CR<-function(x,y,agentid,CRagent){   library(ggplot2)     agent<-CRagent[[agentid]] # To make following expression shorter   ggplot((data.frame(x=CRX,y=CRY,sr=agent$sr)))+   geom_point(aes(x,y,colour=cut(sr,c(0,-10,-20,-30,-40,-50,-60,-70,-80))))+   geom_text(aes(x,y,color=cut(sr,

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: >

I'm trying to get a translation of some Splus code going. My problem is with the S-plus get.message() function not existing in R. Is there a replacement or alternative? ErrorHandler.func<-function() { cat("app.terminated\n"); cat(paste("err.fatal",get.message(),"\n",sep="")); dump.calls(); } options(error=ErrorHandler.func)

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

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 --