On Fri, Mar 06, 2009 at 09:46:17AM -, Ted Harding wrote:
> On 06-Mar-09 09:25:26, Prof Brian Ripley wrote:
> > You might want to look into correspondence analysis, which has several
> > variants of PCA designed for categorical data.
>
> In particular, have a look at the results of
>
> RSit
Hi Galandis,
dudi.mix() in package ade4 does PCA using categorical and/or quantitative
variables. Ordered cats are replaced by poly(x, deg=2). Squares of
categoricals can also be used. The method is a generalization by Chessel of
the method of Hill and Smith.
Regards, Mark.
Galanidis Alexandro
On 06-Mar-09 09:25:26, Prof Brian Ripley wrote:
> You might want to look into correspondence analysis, which has several
> variants of PCA designed for categorical data.
In particular, have a look at the results of
RSiteSearch("correspondence")
Ted.
> On Fri, 6 Mar 2009, Galanidis Alexandros
You might want to look into correspondence analysis, which has several
variants of PCA designed for categorical data.
On Fri, 6 Mar 2009, Galanidis Alexandros wrote:
Hi all,
I' m trying to figure out if it is appropriate to do a PCA having only
categorical data (not ordinal). I have only fin
Hi all,
I' m trying to figure out if it is appropriate to do a PCA having only
categorical data (not ordinal). I have only find the following quote:
One method to find such relationships is to select appropriate variables and
to view the data using a method like Principle Components Analysis (PC
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