Steve Sidney <sbsidney <at> mweb.co.za> writes: > > Dear list > > I have quite a small data set in which I need to have the following > values ignored - not used when performing an analysis but they need to > be included later in the report that I write. > > Can anyone help with a suggestion as to how this can be accomplished > > Values to be ignored > > 0 - zero and 1 this is in addition to NA (null) > > The reason is that I need to use the log10 of the values when performing > the calculation. > > Currently I hand massage the data set, about a 100 values, of which less > than 5 to 10 are in this category. > > The NA values are NOT the problem > > What I was hoping was that I did not have to use a series of if and > ifelse statements. Perhaps there is a more elegant solution.
It would help to have a more precise/reproducible example, but if your data set (a data frame) is d, and you want to ignore cases where the response variable x is either 0 or 1, you could say ds <- subset(d,!x %in% c(0,1)) Some modeling functions (such as lm()), but not all of them, have a 'subset' argument so you can provide this criterion on the fly: lm(...,subset=(!x %in% c(0,1))) ______________________________________________ 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.
