[R] Structuring data for Correspondence Analysis

Alfredo @||redo@rocc@to @end|ng |rom |@@twebnet@|t
Fri Mar 29 14:35:17 CET 2019


Hi, I am very new to r and need help from you to do a correspondence
analysis because I don't know how to structure the following data:

Thank you.

Alfredo

 

library(ca,lib.loc=folder)

table <- read.csv(file="C:\\Temp\\Survey_Data.csv", header=TRUE, sep=",")

head (table, n=20)

                Preference   Sex        Age   Time

1           News/Info/Talk     M      25-30  06-09

2                Classical     F      >35    09-12

3          Rock and Top 40     F      21-25  12-13

4                     Jazz     M      >35    13-16  

5           News/Info/Talk     F      25-30  16-18

6             Don't listen     F      30-35  18-20

...

19         Rock and Top 40     M      25-30  16-18

20          Easy Listening     F      >35    18-20

 

In SAS I would simply do this:

proc corresp data=table dim=2 outc=_coord;

   table Preference, Sex Age Time;

run;

 

I don't know how convert in R a data frame to a frequency table to execute
properly this function:

ca <- ca(<frequency table>, graph=FALSE)


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