Hi, I hope this formatting is correct as it is my first time. I am trying to do comparisons of values in a data frame that has some factor variables. One instance is
> train$sex[2] [1] Male Levels: Female Male So the value is Male but a comparison like "Male" == train$sex[2] will always return FALSE because of the level information included. Another problem this creates is > factor(train$workclass[25:30]) [1] Private Local-gov Private NA Private [6] Private Levels: Local-gov NA Private > is.na(train$workclass[25:30]) [1] FALSE FALSE FALSE FALSE FALSE FALSE Which they are all false because of the levels data in the comparison. This would seem to be bug because I thought that NA was a protected keyword but it is being used here as a level. Which will make it fail the missing value criteria for two reasons now because it is a level. I tried a conversion using data.matrix() but that gets rid of all factor information and makes things worse. Is there a way to suppress 'Levels: Female Male'. I hope this makes, thanks. -- View this message in context: http://r.789695.n4.nabble.com/Eliminate-level-information-tp3656643p3656643.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
