similar to: new package QCAGUI

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

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 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 list members, A new version of the QCA package is now on CRAN. The QCA package implements the Quine-McCluskey algorithm for boolean minimizations, according to the Qualitative Comparative Analysis. Along with the additional improvements in version 0.3-1 (soon to be released on CRAN), this code is about 100 times faster than the previous "major" release (0.2-6). It can now

Dear list members, A new version of the QCA package is now on CRAN. The QCA package implements the Quine-McCluskey algorithm for boolean minimizations, according to the Qualitative Comparative Analysis. Along with the additional improvements in version 0.3-1 (soon to be released on CRAN), this code is about 100 times faster than the previous "major" release (0.2-6). It can now

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

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

Hello Adrian, I have the same problem with tcltk with the difference that i can't open Rcmdr or another tcltk application under Ubuntu with the same packages of tcl or tk than you... It is not helping you but that's my contribution... Yohan -----Message d'origine----- De : Adrian Dusa [mailto:dusa.adrian@gmail.com] Envoyé : lundi 21 août 2006 14:06 À : r-help@stat.math.ethz.ch

Dear list members, I am pleased to let you know that R met with QCA - Qualitative Comparative Analysis. This package has a few functions that implement the Quine-McCluskey algorithm, adapted to social sciences by Charles Ragin (as describes in his book from 1987 "The Comparative Method"). Future versions of this package will have more functions to address the fuzzy-set minimization

QCA implements the Qualitative Comparative Analysis using a boolean minimization algorithm for data coded with presence/absence of the causal conditions that affects a phenomenon of interest. This new release has an experimental function that obtains the same exact solutions as the main minimization function, using a shortcut instead of the classical complete and exhaustive algorithm. This

Dear list, Building my QCAGUI package using Rcmdr 1.3.0, under R 2.6.0 (using Kubuntu Gutsy) I noticed the library starts visibly slower than... somewhere in the past. I used the same version of Rcmdr under previous versions of R and the tcl/tk window used to open instantly. Under the current version though, the window take seconds to open: first it builds the base window, then the menus and

Dear list, I have a vector of numbers, let's say: myvec <- c(2, 8, 24, 26, 51, 57, 58, 78, 219) My task is to reduce this vector to non-reducible numbers; small numbers can cross-out some of the larger ones, based on a function let's say called reduce() If I apply the function to the first element 2, my vector gets shorted to: > (myvec <- reduce(myvec[1])) [1] 2 24 51

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

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 all, I seem to be unable to check a source package since I upgraded R to 2.3.0 (Ubuntu Linux 5.1). I get this: * checking package dependencies ... ERROR > tools:::.check_package_depends("/home/adi/Work/QCAGUI") I have even tried with R-patched, same result. My Renviron does specify the path to the installed packages (and all depending packages are installed):

Dear list, Just upgraded to MacOS Mavericks, fresh install of R 3.0.2 and trying to install a previous version of my QCA package (the most recent one source file, which passed the R CMD check --as-cran with R 3.0.1) I seem to have some difficulties in the C code, apparently it doesn't find some headers (please see below): ============ $ R CMD INSTALL --no-multiarch

Hi again, I was contemplating the solution using base 3: set.seed(3) mat2 <- matrix(sample(0:2, 15, replace=T), 5, 3) Extracting the line numbers is simple: bases <- c(3, 3, 3)^(2:0) # or just 3^(2:0) colSums(apply(mat2, 1, function(x) x*bases)) + 1 [1] 7 23 25 8 1 The problem is sometimes the columns have different number of levels, as in: mat1 <- expand.grid(0:2, 0:2,