On Aug 17, 2011 khosoda wrote: > 1. Is it O.K. to perform PCA for data consisting of 1 continuous > variable and 8 binary variables? > 2. Is it O.K to perform transformation of age from continuous variable > to factor variable for MCA? > 3. Is "mjca1$rowcoord[, 1]" the correct values as a predictor of > logistic regression model like PC1 of PCA?
Hi Kohkichi, If you want to do this, i.e. PCA-type analysis with different variable-types, then look at dudi.mix() in package ade4 and homals() in package homals. Regards, Mark. ----- Mark Difford (Ph.D.) Research Associate Botany Department Nelson Mandela Metropolitan University Port Elizabeth, South Africa -- View this message in context: http://r.789695.n4.nabble.com/How-to-use-PC1-of-PCA-and-dim1-of-MCA-as-a-predictor-in-logistic-regression-model-for-data-reduction-tp3750251p3752168.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
