On Aug 23, 2009, at 2:47 AM, Alexander Shenkin wrote:
On 8/21/2009 3:04 PM, David Winsemius wrote:
On Aug 21, 2009, at 3:41 PM, Alexander Shenkin wrote:
Thanks everyone for their replies, both on- and off-list. I should
clarify, since I left out some important information. My original
dataframe has some numeric columns, which get changed to character
by
gsub when I replace spaces with NAs.
If you used is.na() <- that would not happen to a true _numeric_
vector
(but, of course, a numeric vector in a data.frame could not have
spaces,
so you are probably not using precise terminology).
I do have true numeric columns, but I loop through my entire dataframe
looking for blanks and spaces for convenience.
I still have problems with this statement. As I understand R, this
should be impossible. I have looked at both you postings and neither
of them clarify the issues. How can you have blanks or spaces in an R
numeric vector?
You would be well
advised to include the actual code rather than applying loose
terminology subject you your and our misinterpretation.
I did include code in my previous email. Perhaps you were looking for
different parts.
?is.na
I am guessing that you were using read.table() on the original
data, in
which case you should look at the colClasses parameter.
yep - I use read.csv, and I do use colClasses. But as I mentioned
earlier, gsub converts those columns to characters. Thanks for the
tip
about is.na() <-. I'm now using the following, thus side-stepping the
whole "controlling as.data.frame's column conversion" issue:
final_dataf = lapply(final_dataf, function(x){ is.na(x) <-
+ grep('^\\s*$',x); return(x) })
Good that you have a solution.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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