An example would be useful. Look at what is causing what you think are numbers to be interpreted as character strings and therefore being changed to numbers. For example, are there commas in the numbers, are some missing and replaced by some character sequence that represents missing values. You can always convert the column to numerics:
yourData$col <- as.numeric(as.character(yourData$col)) So there is something in your data that is causing the conversion. After you do the conversion above, look for NAs in the data. This might show you were the problem is. On Thu, Oct 21, 2010 at 10:17 PM, mou sonia <paperh...@gmail.com> wrote: > Hi, > > I'm using read.csv to import a table. But sevel columns are changed to > factor variables automatically. They are actually numbers not factor levels. > Why this happened? How can I get the correct table? Thanks a lot. > > Sonia > > [[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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ 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.
