similar to: new version 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 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 Mailing List Members, the problem I've been grappling with für quite some time now is the following: I have a 100 rows x 200 columns matrix. data.set <- matrix(rnorm(20000, 100, 200)) Now I would like to get a vector of length 100 which collects the values from the following procedure: Take the sum of the minima of the two values from each row of columns 1 and 101, and divide it

Dear mailing list, I would like to use the optim() command in order to maximize the logged likelihood of the following function, where p is the parameter of interest and should be constrained between 0 and positive infinity. y = 1/2 * ((te - x)/(te - tc))^p x and y are given by x <- c(5.18, 6.28, 7.00, 7.08, 7.54, 7.90, 8.24, 8.64, 12.17, 12.89, 14.27, 15.38, 15.80, 16.46, 20.41, 21.27,

Dear Adrian Dusa, others, I've recently started to learn R in order to use the QCA package because i think it might offer what other QCA packages don't: possibilities for quite a few conditions and large n. However, can someone tell me approx. how much RAM i need to run QCA on set of +/- 400.000 cases and +/- 15 conditions? (or differently: how much time will it take with RAM of a

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 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

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, 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

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 mailing list, how can I identify all those rows of matrix B which fulfill some condition based on another matrix A? More precisely, A <- matrix(c(1, 1, 0, 1, -9, 1, -9, 1, 0, 0, 1, 1, 0, -9, 1, 0, -9, 0, 1, 1, 1, -9, 1, 1, 1), ncol = 5, byrow = TRUE) B <- matrix(c(0,0,1,0,0,0,1,1,0,0,0,0,1,1,0,1,0,1,1,0,0,1,1,1,0,1,1,1,1,0,0,0,1,0,1,1,

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

Hi, Field RdMacros was introduced in file DESCRIPTION to allow users to import LaTeX-like macros from other packages. Currently 'R CMD Check --as-cran' gives a NOTE: > Unknown, possibly mis-spelled, field in DESCRIPTION: > ?RdMacros? A small package demonstrating this is available at http://www.maths.manchester.ac.uk/~gb/testRdMacro_0.0.2.tar.gz (and this is the source:

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

In that scenario, I would expect that QCA would suggest Venn and Venn would suggest QCA. Then there's no circular dependency problem. Hadley On Fri, Apr 8, 2016 at 6:59 AM, Adrian Du?a <dusa.adrian at unibuc.ro> wrote: > Hi Mark, > > Uhm... sometimes this is not always possible. > For example I have a package QCA which produces truth tables (all > combinations of