[R] How to use PC1 of PCA and dim1 of MCA as a predictor in logistic regression model for data reduction

Mark Difford mark_difford at yahoo.co.uk
Thu Aug 18 11:33:58 CEST 2011


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.



More information about the R-help mailing list