[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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