I have a function in which I define a
[<-.factor, iseq, value = "CHANGE") :
invalid factor level, NAs generated
DataFrame = data.frame(stringsAsFactors=FALSE)
It depends on how you fill your data frame, for which you haven't given any code. When you construct a new data frame, you can do t like this:
x <- data.frame(aName = aVector, bName = bVector, stringsAsFactors = FALSE)
In this case, if e.g.
aVector is a character vector, then the dataframe column
x$aName will be a character vector as well, and not a factor. Combining that with an existing data frame (using
cbind or similar) should preserve that mode.
When you execute
options(stringsAsFactors = FALSE)
you change the global default setting. So every data frame you create after executing that line will not auto-convert to factors unless explicitely told to do so. If you only need to avoid conversion in a single place, then I'd rather not change the default. However if this affects many places in your code, changing the default seems a good idea.
One more thing: if your vector is already a factor, then neither of the above will change it back into a character vector. To do so, you should explicitly convert it back using
as.character or similar.