Hi [email protected] napsal dne 17.03.2010 10:45:48:
> Dear list, > > I have a contingency table : > > a <- letters[1:3] > t <- table(a) > > I'm looking for a way to transform this table into data frame, as follows : > > Freq > a 1 > b 1 > c 1 > > I used : > > df <- as.data.frame(t, row.names = names(t)) > > But, this function do not remove the duplicated column. Do you know the > solution ? You probably do not distinct between columns of data frame and row names of data frame. From what you told us it is not clear which one you want to keep if row names use as.data.frame(as.matrix(t, row.names = names(t))) if you want to keep column as.data.frame(t) shall suffice. Row names is not a data frame column. Regards Petr > > Thanks in advance, > Carlos > > [[alternative HTML version deleted]] > > ______________________________________________ > [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 > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
