When I load a table from a data source and run summary() on it, the summary gives me basic summary statistics I'm looking for, and it also discriminates between quantitative and qualitative data and summarizes them accordingly. For example, if I do this:
mydata <- read.table("data.txt") summary(mydata) I would get output like this: > summary(mydata) County BERNALILLO:2863 DONA ANA : 772 SANTA FE : 671 SANDOVAL : 579 SAN JUAN : 471 VALENCIA : 281 (Other) :2863 Votemode2010 Min. : 1.000 1st Qu.: 3.000 Median : 4.000 Mean : 3.942 3rd Qu.: 5.000 Max. : 6.000 NA's :11.000 Notice how for the first table the summary simply reports the frequencies of the qualitative data and in the second table it gives me a five-number summary for the quantitative data. Now, here is what I'm looking for. I like how the summary function dumps either frequency summary or a five number summary depending on what the data is, but what I really would like is something like what summary does for the quantitative data, but that it gives me the frequency for all the rest of the values "(Other)" not reported in the summary. In other words, how do I make the summary function give me not a summary but everything? I would like all frequencies, not just the top five. I shall be obliged. All the best, KKD ______________________________________________ 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.