[R] factor level for non-existing value
Hello everybody! Let's assume I have the following factor with it's levels: a-factor(c(2,3,3,2,4,2,3,2,2,2,3,2,3)) mydata-data.frame(a) When I plot the vector a using barplot(table(mydata$a) unfortunately the value 1 does not show up, as it does not appear in my data. But still, it theoretically exists. How can I assign the following levels to the factor? 1: dislike very much 2: dislike 3: like 4: like very much I have already tried the following code, which does not work levels(data$a)-c(dislike very much,dislike,like,like very much) as 2 then becomes dislike very much. I hope you understand my problem. Thank you for any help! [[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.
Re: [R] factor level for non-existing value
Hi Hello everybody! Let's assume I have the following factor with it's levels: a-factor(c(2,3,3,2,4,2,3,2,2,2,3,2,3)) mydata-data.frame(a) When I plot the vector a using barplot(table(mydata$a) unfortunately the value 1 does not show up, as it does not appear in my data. But still, it theoretically exists. How can I assign the following levels to the factor? 1: dislike very much 2: dislike 3: like 4: like very much I have already tried the following code, which does not work levels(data$a)-c(dislike very much,dislike,like,like very much) as 2 then becomes dislike very much. you can do it when constructing a factor a-factor(c(2,3,3,2,4,2,3,2,2,2,3,2,3), levels=1:4,labels=c(dislike very much,dislike,like,like very much)) or when you already have a factor a-factor(a, levels=1:4) I basically understand that factor is a vector of numeric values with levels and labels attribute. Each level can have some label which can be changed independently. All levels does not need to be present in a factor. However you shall not confuse it with function ?labels which has nothing to do with factors. Regards Petr I hope you understand my problem. Thank you for any help! [[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.
Re: [R] factor level for non-existing value
Hi David, On Thursday, February 09, 2012 01:21:48 PM David Studer wrote: Hello everybody! Let's assume I have the following factor with it's levels: a-factor(c(2,3,3,2,4,2,3,2,2,2,3,2,3)) mydata-data.frame(a) #You need to specify levels and labels here, like this: a - factor(c(2,3,3,2,4,2,3,2,2,2,3,2,3), levels = 1:4, labels = c(dislike very much, dislike, like, like very much)) Then barplot will plot all four factor levels. barplot(table(a)) This is pretty basic stuff, likely to be covered in most introductory texts, so I suggest you take some time to read an introduction to R. Best, Ista When I plot the vector a using barplot(table(mydata$a) unfortunately the value 1 does not show up, as it does not appear in my data. But still, it theoretically exists. How can I assign the following levels to the factor? 1: dislike very much 2: dislike 3: like 4: like very much I have already tried the following code, which does not work levels(data$a)-c(dislike very much,dislike,like,like very much) as 2 then becomes dislike very much. I hope you understand my problem. Thank you for any help! [[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.
