Create factors from your variables that include the missing levels. e.g. x <- factor(c(1,1,1)) x0 <- factor(c(1,1,1), levels = 0:1) y <- factor(c(0,1,0)) table(x,y) # no zero for x table(x0,y) # zero for x
On 2/2/06, Taka Matzmoto <[EMAIL PROTECTED]> wrote: > Hi R users > > I am trying to get cross-tabulation tables using tables. > > All variables used are binary ones (0 and 1). > > Each time I constructed cross-tabluation table using a different variable > pair (e.g., variable 1 and variable 2, variable 1 and variable 3 etc) > > In doing so, I ran into some problems > > i.V2 > i.V1 1 > 0 17 > 1 33 > > For variable 2 (i.V2) there was no one belonging to ZERO category but I like > to have a cross tabulation table looking like this > > i.V2 > i.V1 0 1 > 0 0 17 > 1 0 33 > > Is there any other functoin I can use instead of using table() or is there > any options I can add to table() ? > > Any help or advice would be appreciated > > Thanks > > TM > > _________________________________________________________________ > Don't just search. Find. Check out the new MSN Search! > > > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
