I am calculating some values that I am inserting into a data frame. From
what I have read, creating the dataframe ahead of time is more efficient,
since rbind (so far the only solution I have found to appending to a data
frame) is not very fast.
What I am doing is the following:
# create data frame
goframe = data.frame(goA = character(10), goB = character(10), value =
numeric(10))
goframe[1,] = c("AA", "BB", 0.4)
Result is:
> goframe[1,] = c("AA", "BB", 0.4)
Warning messages:
1: In `[<-.factor`(`*tmp*`, iseq, value = "AA") :
invalid factor level, NAs generated
2: In `[<-.factor`(`*tmp*`, iseq, value = "BB") :
invalid factor level, NAs generated
>
Is there another/better/more recomended way of doing this? If not, how do
I do this without getting all the warnings?
Thanks!
Best,
Karin Lagesen
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