similar to: index.search

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 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 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

Hallo, The command: x <- 3 mat <- as.matrix(expand.grid(rep(list(0:1), x))) generates a matrix with 2^x columns containing the binary representations of the decimals from 0 to (2^x-1), here from 0 to 7. But the rows are not sorted in this order. How can sort the rows the ascending order of the decimals they represent, preferably without a function which converts binaries to decimals

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

>cbn<-as.matrix(expand.grid( rep( list(0:1), 50))) Error in rep.int(rep.int(seq_len(nx), rep.int(rep.fac, nx)), orep) : invalid 'times' value In addition: Warning message: In rep.int(rep.int(seq_len(nx), rep.int(rep.fac, nx)), orep) : NAs introduced by coercion But I'm only interested in cbn matrix rows where: cbn<- cbn[rowSums(cbn)==5,] Is there a way to evaluate it

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

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

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

Hi all, I want to write a wrapper for an analysis of variance and I face a curious problem. Here are two different wrappers: fun.1 <- function(formula) { summary(aov(formula)) } fun.2 <- function(formula) { oneway.test(formula) } values <- c(15, 8, 17, 7, 26, 12, 8, 11, 16, 9, 16, 24, 20, 19, 9, 17, 11, 8, 15, 6, 14) group <- rep(1:3, each=7) # While the first

Hi Mark, Uhm... sometimes this is not always possible. For example I have a package QCA which produces truth tables (all combinations of presence / absence of causal conditions), and it uses the venn package to draw a Venn diagram. It is debatable if one should assimilate the "venn" package into the QCA package (other people might want Venn diagrams but not necessarily the other QCA

Dear list, This should be a simple one, I just cannot see it. I need to generate a sequence of the form: 4 5 6 13 14 15 22 23 24 That is: starting with 4, make a 3 numbers sequence, jump 6, then another 3 and so on. I can create a whole vector with: myvec <- rep(rep(c(F, T, F), rep(3, 3)), 3) Then see which are TRUE: which(myvec) [1] 4 5 6 13 14 15 22 23 24 I'd like to avoid

On Oct 5, 2015, at 6:31 PM, Uwe Ligges <ligges at statistik.tu-dortmund.de> wrote: > > > On 05.10.2015 23:47, Andrew Robinson wrote: >> As a fourth option, I wonder if the first author could fork the package? >> >> Presumably, appropriately cited, a fork is permitted by the license under >> which it was released. Then the original package, by both

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

I am trying to submit a package on CRAN, and everything passes ok on all platforms but Debian, where CRAN responds with an automatic "significant" warning: * checking whether package ?QCA? can be installed ... [35s/35s] WARNING Found the following significant warnings: /usr/include/x86_64-linux-gnu/bits/string_fortified.h:106:10: warning: ?__builtin_strncpy? output may be truncated