code to run correspondence analysis on m*n contingency matrix as input

[_Piyush]

Hi Team,

I am trying to run correspondence analysis on a m*n contingency matrix, which I am using as input data. I want the plot in 2 dimension. What is the code for it? I tried simple corresponding analysis code, but that requires categorical variables  as input data.

Can you please help. Have attached the sample data

[Reeza]

If your data is continuous wouldn't you be using Principal components analysis or factor analysis instead?

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@_Piyush wrote:

Hi Team,

I am trying to run correspondence analysis on a m*n contingency matrix, which I am using as input data. I want the plot in 2 dimension. What is the code for it? I tried simple corresponding analysis code, but that requires categorical variables  as input data.

Can you please help. Have attached the sample data

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[Anjanita · Accepted solution]

I guess you want to see it Brand wise. So, please add Brand in the first column. Then use the code below:

PROC CORRESP DATA=XXX outc=corres_result noprint;

 var Var1 - Var40 ;

id BRAND;

run;

ods html file="/home/YYY/corresp/xxx_coords_pct.xls";

proc print data=corres_result;

run;

ods html close;

endsas;

Please edit the code as per your dataset & variable name..

Hope this will help.

[_Piyush]

Thanks Anjanita!