I don't think na.rm is a valid at parameter for the subset function. I would
normally use the is.na function to logically test for NA values. I also don't
know where your VALID_EMAIL variable is coming from.
a <- subset(mydf, !is.na(EMAIL_ADDRESS))
The na.strings argument to read.csv and friends is used to help recognise
strings in the input that should be treated as NA. If you don't see "<NA>" in
your input file then it will have no effect on the data import.
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Jeff Johnson <mrjeffto...@gmail.com> wrote:
>I have a dataset "mydf" with a field EMAIL_ADDRESS. When importing, I
>specified:
>mydf <- read.csv(file = extract, header = TRUE, stringsAsFactors =
>FALSE,
>na.strings=c("NA",""))
>
>I've also tried setting na.strings= c("NA","","<NA>") but I don't know
>if
>it's appropriate to put <NA> there.
>
>I'm running
>a <- subset(mydf, VALID_EMAIL == FALSE, na.rm = TRUE, select =
>EMAIL_ADDRESS)
>dput(head(a,5))
>
>structure(list(EMAIL_ADDRESS = c(NA_character_, NA_character_,
>NA_character_, NA_character_, NA_character_)), .Names =
>"EMAIL_ADDRESS",
>row.names = c(17L,
>22L, 23L, 24L, 30L), class = "data.frame")
>
>The results show a lot of <NA> values on screen and in the dput
>statement.
>
>I don't quite understand why it is doing that. I would have expected it
>to
>exclude those since I had the na.rm = TRUE statement. Do you have any
>suggestions?
>
>Thanks!
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