I have never been a huge fan or advocate of SAS, and actually recommend using other SAS alternatives, but I am somewhat addicted to the SAS Proc Freq procedure and its output tables. Its a nice way to not only visualize the data but also to get some useful summary statistics. I have been using the R table command for a while and in most cases combined with margin.table or prop.table it suffices to summarize the data. Recently, I have been in need of summary statistics for the tables as well. This can be accomplished easy enough using the R chisq.test or fisher.test commands, but still doesn't quite provide the fluid integration of data visualization and summary statistics that the SAS Proc Freq output provides. Today I came across the R package CrossTable. This procedure, part of the gmodels library, provides formatted output very similar to that of Proc Freq. So much so, it even uses the same ascii characters to delineate cell boundaries. There is a bit of playing around with options and such to get the exact statistics and percentages and such you would like, but overall a very nice (a not to mention free) alternative to SAS's Proc Freq output. Below is an example table I created.

genetic epidemiology, statistical genetics, and bioinformatics

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