Perhaps this is a common question but I haven't been able to find the answer.
I have data with many factors, each taking many values. However, only relatively few combinations appear in the data, ie have nonzero counts, in other words the resulting table is sparse. Say we have 10 factors each with 10 levels. The result of table() would exceed the memory space (on a 32bit machine). Is there any way to produce a table with empty cells omitted? (without first producing the whole table and then removing rows.) Thanks, Steve -- View this message in context: http://www.nabble.com/omit-empty-cells-in-crosstab--tp23222263p23222263.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
