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@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.
--
______________________________________________
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.