I am looking for an alternative way to inspect my data, other than doing an correspondance analysis.
What I have is a list with 5 different measurements of a person and ratings that that person gave to a number of objects, so: person1.name, person1.score1, person1.score2, person1.score3, person1.score4, person1.score5, person1.ratingobject1, person1.ratingobject2, person1.ratingobject3, person1.ratingobject4, ... person2.name, person2.score1, person2.score2, person2.score3, person2.score4, person2.score5, person2.ratingobject1, person2.ratingobject2, person2.ratingobject3, person2.ratingobject4, ... person3.name, person3.score1, person3.score2, person3.score3, person3.score4, person3.score5, person3.ratingobject1, person3.ratingobject2, person3.ratingobject3, person3.ratingobject4, ... etc... Now I want to see how those 5 measurements match to certain high ratings for certain objects, so for example a character type high on score1,score2 and score3 and low on score5 & score6 generally rate object1 very high and object 2 very low. I want to do this using R. I thought about using correspondance analysis to tackle the problem, but this means I will need to first group those people. I prefer not to do so, because I feel I am loosing information when I do that. Is there any alternative I could use to measure correspondances in the data? Any suggestion is very welcome! -- View this message in context: http://www.nabble.com/Alternative-for-correspondance-analysis-tp25271624p25271624.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [email protected] mailing list 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.
