> I know that the simple R function table() will do this, but I am afraid > that some times I may get zero frequency for some particular values
Make a factor out of your data, specifying all the levels you want counts for, and pass that factor to table(). E.g., > x <- rep(0:6, c(5,2,0,3,0,4,0)) > table(x) x 0 1 3 5 5 2 3 4 > table(factor(x, levels=0:10)) 0 1 2 3 4 5 6 7 8 9 10 5 2 0 3 0 4 0 0 0 0 0 Bill Dunlap Spotfire, TIBCO Software wdunlap tibco.com > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf > Of arun4 > Sent: Wednesday, November 21, 2012 5:20 AM > To: r-help@r-project.org > Subject: [R] Creating a frequency table for binomial varaible > > Hello, > I have simulated 30 observations from a binomial(5,0.1) distribution. > Now I need to make frequency table( that means I need to tally how many 0's > , 1's 2's....... 5's) > I know that the simple R function table() will do this, but I am afraid > that some times I may get zero frequency for some particular values (for > example in the above there are 5-0's 10-1's , 14-2's, 10-3's , 11-4's but no > any 5's ) > > So I want to make by frequecy table ( as a date frame) as > value freq > 0 5 > 1 10 > 2 14 > 3 10 > 4 11 > 5 0 > > > How can I create such a table? > Forgive me if this is a very basic question. I am new to R. > > Thank you very much. > > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Creating-a-frequency- > table-for-binomial-varaible-tp4650286.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. ______________________________________________ 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.