NA error in envfit
Phillip, You approach to using factors misses an important consideration; the class that was observed in the full dataset should not disappear just because you subsetted the data in some manner. Also, `droplevels()` is a useful function to call on a factor or data frame if subsetting produces levels with zero observations and if that information is not made use on in whatever computations follow next. G
On 5 December 2013 10:42, Dixon, Philip M [STAT] <pdixon at iastate.edu> wrote:
Kendra,
I wonder if the problem is a factor level with no observations. One of the frustrating things about factors (class variables) in R is that the list of levels is stored separately from the data. This can cause all sorts of problems if you create the factor, then subset the data, and the subset is missing one or more levels of the factor. You are subsetting your data, so this may be the source of the problem.
My working philosophy is to keep variables as character strings or numbers until just before I need the factors. That avoids any issues with extraneous levels. That means reading data sets (.txt or .csv files) with as.is=TRUE to avoid default creation of factors. relevel() may recreate the list of levels. I usually use factor(as.character(variable)) to flip a factor to a vector of character strings then back to a factor with the correct set of levels.
Best wishes,
Philip Dixon
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Gavin Simpson, PhD