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) [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.