similar to: some QCA questions

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

Hi I have just dwonloaded QCA3 onto this machine (ubuntu, karmic, amd64) and a mac. The examples run fine on teh mac, but crashed R on ubuntu. Any help much apprecia\ted. Thanks Richard ------------------------------------------------------------------------------ Terminal log: > conditions <- >

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

Hi everyone, I have a very quick question: Is there a ready-made function in R or any R packages to find the prime factorization of an integer? -- View this message in context: http://r.789695.n4.nabble.com/Prime-Factorization-tp2548877p2548877.html Sent from the R help mailing list archive at Nabble.com.

CRAN (and crantastic) updates this week New packages ------------ Updated packages ---------------- New reviews ----------- This email provided as a service for the R community by http://crantastic.org. Like it? Hate it? Please let us know: cranatic at gmail.com.

My question is related to plot( ) in the mgcv package. Before modelling the data, a few predictors were transformed to normalize them. Therefore, the x-axes in the plots show transformed predictor values. How do I back-transform the predictors so that the plots are easier to interpret? Thanks in advance, Suzan -- Suzan Pool Oregon State University Cooperative Institute for Marine

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, 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 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

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 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 All, I have a file with two columns, the first column has the names of the patients and the second column has the age. I am looking into creating an output file that looks like 1-10 10-20 etc Eric Chris Bob mat Andrew Suzan Where each column has the name of the patients in a given age category that is displayed in the header. For example in the output, the first

Hello, I have a GAM plot in 3D which was generated from the mgcv package (plot.gam) which seems to call the persp( ) function from graphics. This plot is one of three being plotted in the graphics window to copy to a manuscript. The plot's rotation has been set to clearly show the response surface generated in GAM. The resulting plot is small enough that the tick labels overlap tick

CRAN (and crantastic) updates this week New packages ------------ * bdoc (1.0) Michael Anderson http://crantastic.org/packages/bdoc This package contains a function that will classify DNA barcodes as well as a few test and reference data sets. * bdsmatrix (1.0) Terry Therneau http://crantastic.org/packages/bdsmatrix This is a special case of sparse matrices, used by coxme and

Hi, I am trying to fi a glm-poisson model to 400.000 records. I have tried biglm and glmulti but i have problems... can it really be the case that 400.000 are too many records??? I am thinking of using random samples of my dataset..... Many thanks, -- View this message in context: http://r.789695.n4.nabble.com/glm-poisson-fitting-400-000-records-tp3925100p3925100.html Sent from the R help

Hi, Is there some kind of way to get acl_groups out of LDAP without having to maintain an entry with a list of groups 'a,b,c' and so on? Our groups have a list of 'member' attributes with CNs pointing at users. Ideally there would be a way to look this up directly. Alternately I could perhaps use an OpenLDAP overlay to show 'group' attributes for each user's ldap