similar to: version 0.3 of QCA

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, 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 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

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 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

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 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 list, I have a problem with a toy example: mtrx <- matrix(c(1,1,0,1,1,1,0,1,1,0,0,1), nrow=3) rownames(ma) <- letters[1:3] I would like to determine which is the minimum combination of rows that "covers" all columns with at least a 1. None of the rows covers all columns; all three rows clearly covers all columns, but there are simpler combinations (1st and the 3rd, or 2nd

Dear list members, I'm pleased to let you know there's a new package on CRAN called QCAGUI, a graphical user interface for the QCA package. This is a stripped down version of John Fox's Rcmdr package, plus a couple of menus for QCA. My thanks to John Fox for his encouragement and advice. Regards, Adrian -- Adrian DUSA Romanian Social Data Archive 1, Schitu Magureanu Bd 050025

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 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

Does anybody know of aything that will help me do Quantitiative Comparative Analysis (QCA) and/or Fuzzy set analysis?? Or failing that Quine? ta rg Prof R Gott Durham Univesrity UK

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 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,

Dear all, I'd like to produce a simple pie chart for a customer (I know it's bad but they insist), and I have some difficulties setting the initial angle. For example: pie(c(60, 40), init.angle=14) and pie(c(80, 20), init.angle=338) both present the slices in the same direction, where: pie(c(60, 40)) pie(c(80, 20)) present the slices in different directions. I read everything I

Dear R-list, Could anybody tell me where to find information about changing the measurement unit from inch to centimeters? I read the help from X11, I read R-intro and I did some searhing in the R archives, but I couldn't find the answer. For example, I would like to produce a plot of a certain width and height: X11(width=10, height=5) and I would like these to be centimeters, rather