If you don't need any factors use read.csv(...whatever..., as.is = TRUE) and then as.numeric will work.
On Tue, Mar 10, 2009 at 1:25 AM, ojal john owino <ojal.johnow...@googlemail.com> wrote: > Dear Users, > I have a variable in my dataset which is of type factor. But it actually > contains numeric entries which like 5.735 4.759 ..... This is because the > data was read from a CSV file into R and this variable contained other > charaters which were not numeric. I have now dropped the records with the > characters which are not numeric for this variable and want to change it to > numeric srotage type. > > I have tried using as.numeric() function but it changes the values in the > variable to what I think are the ranks of the individual values of the > varible in the dataset. For example if 5.735 is the current content in the > field, then the new object created by as.numeric will contain a value like > 680 if the 5.735 was the highest value for the varible and the dataset had > 680 records. > > > How can I change the storage type without changing the contents of this > variable in this case? > > Thanks for your consideration. > > > > -- > Ojal John Owino > P.O Box 230-80108 > Kilifi, Kenya. > Mobile:+254 728 095 710 > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.
