Hi All, There were lot of diffrences in the R and SPSS results for Exploratory Factor Analysis.why is it so ?I used standard factor analysis functions like:--
factanal(m, factors=3, rotation="varimax") princomp(m, cor = FALSE, scores = TRUE, subset = rep(TRUE, nrow(as.matrix(m)))) print(summary(princomp(m, cor=TRUE),loadings = TRUE, cutoff = 0.2), digits = 2) prcomp(m, scale = TRUE) summary(pc.cr <- princomp(m, cor=TRUE)) I just do coding in R ,but my statistician said teh results vary a lot.I found quite a number of posts regarding this issue in these links:-- https://stat.ethz.ch/pipermail/r-help/2003-May/033299.html https://stat.ethz.ch/pipermail/r-help/2003-May/033361.html https://stat.ethz.ch/pipermail/r-help/2003-May/033361.html https://stat.ethz.ch/pipermail/r-help/2003-May/033299.html http://tolstoy.newcastle.edu.au/R/help/03a/5100.html I wanted to use factanal.pa and principal function , i do not find code for that.I did not want to install teh packages psych and nFactors.Can anyone help me please -- Thanks Moumita [[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.
