similar to: abs() on data frames?!

Dear all/anyone, after generating a HTML file "result.html" from within [R], I would like to open the default HTML browser (like help.start() does) to show the file. Is it possible to do this (without trying to do a system dependent search for possible browsers)? I browsed the source of package 'base' (R v1.4.1 WinMe) and I found the following in help():

I am investigating how well R/tcltk is supported on different system and I ran into the same problem as Christian Schulz reported on February 7, 2002. I am using [R] v1.4.1 on WinMe and ActiveTcl 8.3.2. Loading tcltk within Rgui works just fine and both demo(tkdensity) and demo(tkttest) works as expected. However, when I start R from my Cygwin terminal dyn.load() fails to load the library: % R

Where should the setClass() ('methods' package) calls be placed in a package? I try to follow a one-class-one-file principe, but since setClass("ClassA", "ClassB") has to come a after setClass("ClassB", [snip]) it is not possible to fully follow this rule. So the best I can do now is to put all setClass() calls in a file named "000.R" (I know this

Dear all, I can't see how setGeneric() works. I know perfectly well how to define library(methods); setClass("Square", representation(side="numeric")); # Will become the default method. getArea <- function(object) { stop(paste("Method getArea() is not defined for this class:", data.class(object))); } setMethod("getArea",

Hi, I am trying to find the fastest way to "find the last index k such that x[k] < y in a *sorted* vector x" These are my two alternatives: x <- sort(rnorm(1e4)) y <- 0.2 # Alt 1 k <- max(1, sum(x < y)) # Alt 2 "divide and conquer" lastIndexLessThan <- function(x, y) { k0 <- 1; k1 <- length(x) while ((dk <- (k1 - k0)) >

Hi (again), let's say I want to create a class Matrix that extends the class matrix, but I can't get it to work. I define the class as > setClass("Matrix", "matrix") > getClass("Matrix") No Slots, prototype of class "matrix" Extends: Class "matrix" directly. Class "structure" by class "matrix".

I am trying to build [R] v1.3.1 *locally* on a Sun Solaris 8 machine. One problem I am currently struggeling with is to make the command-line history function to work. I have installed GNU readline version 4.2 (latest version). Looking at the "config.log" file it seems that all readline related checks, e.g. "readline/history.h", passes (they did not before installing GNU

Full_Name: Henrik Bengtsson Version: R v1.4.0 OS: Solaris 8 Submission from: (NULL) (130.235.3.49) When I am trying the following on Rv1.4.0 on Solaris 8, I get that the "cannot close output sink connection": % R --vanilla tmpfile <- tempfile() # Create a filename that does not exist for(k in 1:100) { cat(k, ": "); try(fh <- file(tmpfile, "r"))

When loading a package with library(APkg) or require(APkg) I would like to make sure that (1) the correct version of [R] is installed. If not an informative error message should be given. I would also like to make sure that (2) another required package which is loaded from within the APkg package (by require(OtherPkg)) is of a certain version or later. First of all, I believe that the check

I raised the questions below a couple of months ago by sending it to the developers mailing list, but I don't know if it got through since no one replied to it. Looking at the [R] distribution, the UseMethod() is used in the following way: alias <- function(object, ...) UseMethod("alias") or barplot <- function(height, ...) UseMethod("barplot") What I

I use smooth.spline(x, y) in package modreg and I would like to get value of penalized log likelihood and preferable also its two parts. To make clear what I am asking for (and make sure that I am asking for the right thing) I clarify my problem trying to use the same notation as in help(smooth.spline): I want to find the natural cubic spline f(x) such that L(f) = \sum_{k=1}{n} w[k](y[k] -

Dear [R] people, I am looking for a method to test if there are any changes (jump points) in a time series data set or not. If there are, I would like to identify the jump points. All the data is available from the beginning so an offline method could be used. The current data set that I have could be seen as a time series with five almost equally sized segments that stands out to have different

I would like to define a function at run-time, but I just can't make it work (please don't question why I want to do this, because that would be too much to explain). For example, I want to define the the following function foo <- function(x) { cat("Function", "foo", "was called with argument", x, ".\n") } However, I would like to

Is there a weighted median function out there similar to weighted.mean() but for medians? If not, I'll try implement or port it myself. The need for a weighted median came from the following optimization problem: x* = arg_x min (a|x| + sum_{k=1}^n |x - b_k|) where a : is a *positive* real scalar x : is a real scalar n : is an integer b_k: are negative and positive scalars

Full_Name: Henrik Bengtsson Version: 1.3.1 OS: WinMe Submission from: (NULL) (130.235.2.229) I found the following bug on WinMe (I call it a bug, since the behavior is different on WinMe than for instance Sun Solaris): When calling file.exists() with an existing directory name ending with a "/" (slash) [R] on WinMe will return FALSE, but when doing the same without the ending

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik

1. lbeta and beta do not work properly: lbeta returns its first argument and beta gives the lbeta result. In names.c lines 245-6, the codes for these should be 2 and 3 instead of 1 and 2 2. crtl-C does not work (except the first time) on Red Hat elf Linux (which has many many other problems as well) nor on the previous version of Linux for Amiga. It worked on Slackware aout Linux and now works

1. lbeta and beta do not work properly: lbeta returns its first argument and beta gives the lbeta result. In names.c lines 245-6, the codes for these should be 2 and 3 instead of 1 and 2 2. crtl-C does not work (except the first time) on Red Hat elf Linux (which has many many other problems as well) nor on the previous version of Linux for Amiga. It worked on Slackware aout Linux and now works

Dear R-core Team, As Thomas Lumley pointed out in one of his e-mails one can use commandArgs() to get a copy of the command line arguments supplied when R session was invoked and then use grep to extract parameters of interest. His solution works very well if the custom options are passed by names, e.g. --my-option=value, but what if one wants to pass parameters by their positions. Then it's