Replace contents of factor column in R dataframe

Question

I need to replace the levels of a factor column in a dataframe. Using the iris dataset as an example, how would I replace any cells which contain virginica with setosa in the Species column?

I expected the following to work, but it generates a warning message and simply inserts NAs:

iris$Species[iris$Species == 'virginica'] <- 'setosa' 

Answer 1

I bet the problem is when you are trying to replace values with a new one, one that is not currently part of the existing factor's levels:

levels(iris$Species) # [1] "setosa"     "versicolor" "virginica"  

Your example was bad, this works:

iris$Species[iris$Species == 'virginica'] <- 'setosa' 

This is what more likely creates the problem you were seeing with your own data:

iris$Species[iris$Species == 'virginica'] <- 'new.species' # Warning message: # In `[<-.factor`(`*tmp*`, iris$Species == "virginica", value = c(1L,  : #   invalid factor level, NAs generated 

It will work if you first increase your factor levels:

levels(iris$Species) <- c(levels(iris$Species), "new.species") iris$Species[iris$Species == 'virginica'] <- 'new.species' 

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If you want to replace "species A" with "species B" you'd be better off with

levels(iris$Species)[match("oldspecies",levels(iris$Species))] <- "newspecies"