I didn't see any response, so I pick it up. I don't think there is exact method to calculate the RAM use. Given that you have a data set, QCA and R, you can just try to run the model and see if it can hanlde it. My hunch is that if you don't use remainders in the boolean minimization process, it might work. Otherwise, it is really hard to say. QCA has implemented mvQCA. Not sure about fsQCA, maybe soon.
Besides QCA, you can try QCA3 (http://asrr.r-forge.r-project.org/). fs_tt can construct truthTable which can be passed to QCA::eqmcc. QCA3 offers functions for csQCA, mvQCA and fsQCA. The developed version also can handle TQAC discussed in Ragin, Charles C. and Sarah Ilene Strand (2008). However, I have to admit that QCA3 is a bit slower than QCA. Regards Ronggui On 28 July 2009 23:38, Suzanne van der Post <suzanne.van.der.p...@ciz.nl> wrote: > 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 > certain size?) > Also I'm very keen on hearing any news on the fuzzy and multivalue > options for R...How's that comming along? > > Thanks a lot for any information you can provide! > And of course major thanks for all the information you've already > provided for me in existing manuals, R-fora etc. Great work! > > Greetings, > Suzan van der Post > > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Wincent Rong-gui HUANG Doctoral Candidate Dept of Public and Social Administration City University of Hong Kong http://asrr.r-forge.r-project.org/rghuang.html ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
