similar to: sas.get under Linux

Dear listeRs, I am trying to install a package from the command line, using install.packages(). Specifying all the parameters, I simply get this error: > r <- getOption("repos") > install.packages("rJava", dependencies=T, repos=r, lib="/home/adi/myRlib") Error: subscript out of bounds Additional info about my system (Kubuntu 9.10): > sessionInfo()

Dear All, I assume this is an R-devel issue, apologies if I missed something obvious. I have a dataframe where the row names are country codes, based on ISO 3166, something like this: ------------ "v1" "v2" "UK" 1 2 "NA" 2 3 ------------ It happens that "NA" is the country code for "Namibia", and that creates problems on

Dear R devel, Apologies for these (most probably trivial) questions, doing my first attempt to call C from R (and actually learning C in the process). I need to pass a matrix to C, and after reading R-exts.pdf (many times), I was unable to find how to handle matrices at C-level... except for, what probably is the answer, that matrices are in fact vectors with dimensions. This is a sample code I

I am trying to use the RSvgDevice package to produce some SVG graphs which I want to edit with Inkscape 0.42. Under Linux (Kubuntu 5.04) I use the following: library(RSvgDevice) plot(1:10, 1:10) devSVG(file = "/home/adi/Rplots.svg", width = 10, height = 8, bg = "white", fg = "black", onefile=TRUE, xmlHeader=TRUE) but when I tried to load the file into Inkscape it

Dear r-devel, I am trying to automatically check if two successive versions of a package have the same results (i.e. code not broken), by parsing the example sections for each function against a previously tested version. While trying to replicate the code from example(), I am facing an error related with te "index.search" function (line 7 in the example() code). This is the code I am

Dear R-devel, I am now at a debugging phase, and would like to inspect the (individual) values in an arbitrary R vector. It should be simple, but after hours of reading I am simply unable to find the right information. A possible C code is: ????????????????? # include <R.h> # include <Rinternals.h> # include <R_ext/Rdynload.h> SEXP foo(SEXP x) // where x is a vector passed by

Dear All, QCA package version 1.0-4 has been released today, the sources are now visible on CRAN and the binaries for Windows and MacOS should appear in a couple of more days. We highly recommend upgrading to this version. Apart from a number of small bug fixes, the most notable reason to upgrade is a dramatic increase in speed, due to the compilation of some computationally intensive parts of

Dear All, QCA package version 1.0-4 has been released today, the sources are now visible on CRAN and the binaries for Windows and MacOS should appear in a couple of more days. We highly recommend upgrading to this version. Apart from a number of small bug fixes, the most notable reason to upgrade is a dramatic increase in speed, due to the compilation of some computationally intensive parts of

Dear R-devel, I am trying to do something similar to dynamic length lists in R, but at C level. In R, that would be rather trivial: - determine the length of the list - create the list object - store the values for each component - access value components by using "[[" At C level, for a single component where I need to store a vector of length 5, I do: int *p_result; SEXP my_list =

Dear devels, I need to create a (short) vector in C, which contains potentially very large numbers, exponentially to the powers of 2. This is my test example: lgth = 35; int power[lgth]; power[lgth - 1] = 1; for (j = 1; j < lgth; j++) { power[lgth - j - 1] = 2*power[lgth - j]; } Everything works ok until it reaches the limit of 2^32: power: 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024,

Dear list, On a follow up from my previous email, I am now trying to allocate vectors of length larger than 32-bit in C. >From the R internals documentation, I read that: "The sxpinfo header is defined as a 32-bit C structure..." and "A SEXPREC is a C structure containing the 32-bit header..." The question is: does the INTSXP allow vectors larger than 32-bit? A test

Hi, A new version of the QCA package (0.6-0) was submitted to CRAN. This is a major improvement, now working with multi-valued data (previous versions accepted binary data only). The "classical" function qmcc() still accepts only binary data, but the enhanced function eqmcc() is now ready for mvQCA. The QCA package performs the Quine-McCluskey algorithm for Qualitative Comparative

Dear All, I have just uploaded a new version of the QCA (Qualitative Comparative Analysis) on CRAN, and it will be propagated in a couple of days. This is version 1.0-0 ("Easter edition") of the package, straight from the previous version 0.6-5, and it represent a major re-write of the package in order to accomodate fuzzy-sets. I am pleased to welcome Alrik Thiem as a co-author of this

Dear All, I have just uploaded a new version of the QCA (Qualitative Comparative Analysis) on CRAN, and it will be propagated in a couple of days. This is version 1.0-0 ("Easter edition") of the package, straight from the previous version 0.6-5, and it represent a major re-write of the package in order to accomodate fuzzy-sets. I am pleased to welcome Alrik Thiem as a co-author of this

Dear All, I have just submitted a new version of the QCAGUI package on CRAN, it should be propagated in a couple of days. This version is nothing but a quick update to the latest Rcmdr base package, and works (as usual) with the QCA package up to version 0.6-5 For the later versions of the QCA package, I will start adapting the GUI in the shortest time possible. Best wishes, Adrian -- Adrian

Hi, A new version of the QCA package (0.6-0) was submitted to CRAN. This is a major improvement, now working with multi-valued data (previous versions accepted binary data only). The "classical" function qmcc() still accepts only binary data, but the enhanced function eqmcc() is now ready for mvQCA. The QCA package performs the Quine-McCluskey algorithm for Qualitative Comparative

Hi again, I run R under SuSE 9.2 Professional (installed via rpm) and I am trying to install some packages from CRAN. The trouble is, after successful installations, my destdir directory is deleted...! My command: install.packages("Rcmdr", "/usr/lib/R/library", CRAN="http://cran.r-project.org", destdir="/home/adi/Kituri/R.packages", dependencies=TRUE)

Dear R-helpers, I'm trying to develop a function which specifies all possible expressions that can be formed using a certain number of variables. For example, with three variables A, B and C we can have - presence/absence of A; B and C - presence/absence of combinations of two of them - presence/absence of all three A B C 1 0 2 1 3 0 4 1 5 0 6 1

Dear R-devel, I'm trying to validate the results from a C function, against a (trial and tested) older R function. For reasons unknown to me, the C function seems to give different result sometimes at each trial, even with the very same data. These are the relevant outputs from R: > library(QCA) Loading required package: lpSolve > benchmark <- function(x, y) { + index <- 0

Dear R-help list, Part of a program I wrote seem to take a significant amount of time, therefore I am looking for an alternative approach. In order to explain what is does: - the input is a sorted vector of integer numbers - some higher numbers may be derived (using a mathematical formula) from lower numbers, therefore they should be eliminated - at the end, the vector should contain only