This is the first time that I've posted to this list, so if I'm doing something wrong, please let me know. Also, if there is a searchable forum where I can find help, that would be good too.
I'm doing a card sorting experiment, and I'm having problems imputing my data into R for later analysis. This is what I get from each sorter: Category Name Card numbers Group 1: 1,3,5,7,9 Group 2: 2,4,6,8,10 I would like to use the adjusted Rand index to compare each sorter. As an input the ARI needs a vector like this: "Group 1" "Group 2" "Group 1" "Group 2" "Group 1" "Group 2" "Group 1" "Group 2" "Group 1" "Group 2" or even. 1 2 1 2 1 2 1 2 1 2 (Note: I am using the function adjustedRandIndex from the library mclust) I also need to make a similarity matrix so that I can do cluster analysis on the reviewers (which I am able to do). I would like to be able to load in several of these vectors at once so that I can create a big matrix with all of the data in it, and I currently do this using read.table() PROBLEM 1) When I attempt to do the Adjusted Rand Index calculation I do this: reviewer1 <- read.table(<filename>, sep=",") (they are csv files) . Then I try to make a big matrix by doing this: rset[1] <- reviewer1 rset[2] <- reviewer2 . So when I try to do adjustedRandIndex(rset[1],rset[2]) I get an error message: Error in FUN(X, Y, ...) : comparison of these types is not implemented And If I do this: > rset[1] [[1]] [1] set1 set2 set1 set2 set1 set2 set1 set2 set1 set2 Levels: set1 set2 PROBLEM 2) Some of my reviewers have put single cards into two piles (which was allowed). However, this routine for the Adjusted Rand Index doesn't seem to be able to handle that sort of category as an input. Is that a problem for the Adj Rand Index in general? Is there a routine that can find the Adjusted Rand Index for a different input? Thanks, -Steve Wolf MSU--Lyman Briggs College [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org 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.