Hello I have a data.frame of 32 variables, all are ordered factors. str(dat) returns the following 'data.frame': 32 obs. of 43 variables: $ q1a: Ord.factor w/ 6 levels "Strongly Disagree"<..: 3 4 2 5 NA NA 5 5 3 5 ... $ q1b: Ord.factor w/ 6 levels "Strongly Disagree"<..: 3 NA 4 NA NA NA NA 5 4 4 ... $ q1c: Ord.factor w/ 6 levels "Strongly Disagree"<..: NA NA 5 5 NA 4 NA 5 NA 5 ... $ q1d: Ord.factor w/ 6 levels "Strongly Disagree"<..: 5 NA 5 NA NA 5 NA 5 NA 4 ... $ q1e: Ord.factor w/ 6 levels "Strongly Disagree"<..: 5 NA NA 5 5 NA NA 5 5 NA ... $ q1f: Ord.factor w/ 6 levels "Strongly Disagree"<..: 4 5 5 5 5 5 5 4 5 5 ...
I'm trying to come up with a polychoric correlation matrix for these, and so I convert them to numeric values: 'data.frame': 32 obs. of 43 variables: $ q1a: num 3 4 2 5 NA NA 5 5 3 5 ... $ q1b: num 3 NA 4 NA NA NA NA 5 4 4 ... $ q1c: num NA NA 5 5 NA 4 NA 5 NA 5 ... $ q1d: num 5 NA 5 NA NA 5 NA 5 NA 4 ... and try: library(psych) polychoric(values, na.rm=TRUE), but this returns the following error The items do not have an equal number of response alternatives, global set to FALSE Error in poly[1, ] : incorrect number of dimensions In addition: Warning message: In mclapply(seq_len(n), do_one, mc.preschedule = mc.preschedule, : all scheduled cores encountered errors in user code Can anyone provide any guidance? Thanks, Simon Kiss ********************************* Simon J. Kiss, PhD Assistant Professor, Wilfrid Laurier University 73 George Street Brantford, Ontario, Canada N3T 2C9 Cell: +1 905 746 7606 ______________________________________________ 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.
