Klot Lee
2013-May-12 01:06 UTC
[R] how to deal with continous and Non continuous mixed variables in factor analysis?
hi, when I am doing factor analysis, there is continous and Non continuous variables(classified variables). Does "psych" package handle this? Is there any difference between continous variables and non ones or mixed ones when doing factor analysis? If there is, which packages should I use then? My data look like this: a01 a02 a03 a04 a05 14.7 11.9 0.99 0 4 20.1 5.5 0.98 1 3 11.6 1.9 0.98 0 7 54.3 5.7 0.36 0 5 ...... variable a01, a02, a03 is continuous and a04, a05 is Non continuous. when I do factor analysis by psych package, the results is not good enough, so is there some method handle data like this? Thanks. klot [[alternative HTML version deleted]]
Aldi Kraja
2013-May-12 06:26 UTC
[R] how to deal with continous and Non continuous mixed variables in factor analysis?
Hi, The continues variables can be handled easy via factanal function. ?factanal Binary or ordinal variables can be handled via ltm package, which implements item response theory. ?ltm Hope this helps. Aldi On 5/11/2013 8:06 PM, Klot Lee wrote:> hi, > when I am doing factor analysis, there is continous and Non continuous > variables(classified variables). Does "psych" package handle this? Is > there any difference between continous variables and non ones or mixed ones > when doing factor analysis? If there is, which packages should I use then? > > My data look like this: > > a01 a02 a03 a04 a05 > 14.7 11.9 0.99 0 4 > 20.1 5.5 0.98 1 3 > 11.6 1.9 0.98 0 7 > 54.3 5.7 0.36 0 5 > ...... > > variable a01, a02, a03 is continuous and a04, a05 is Non continuous. when I > do factor analysis by psych package, the results is not good enough, so is > there some method handle data like this? > > > > Thanks. > > klot > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.--