Hi Steve, The general answer is yes, but the specific will depend on your problem. Could you provide a small reproducible example to illustrate your problem?
Hadley On Fri, Apr 24, 2009 at 1:19 PM, sjaffe <sja...@riskspan.com> wrote: > > 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. > -- http://had.co.nz/ ______________________________________________ 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.