Hi,
On Aug 18, 2009, at 10:19 AM, John Kane wrote:
Perhaps
testdata$onecolumn[testdata$onecolumn==NA] <- 9999
I don't think this would work -- the is.na function is the way to go:
R> a <- c(1,2,3,NA,NA,10,20,NA,NA)
R> a
[1] 1 2 3 NA NA 10 20 NA NA
R> a[a == NA] <-999
R> a
[1] 1 2 3 NA NA 10 20 NA NA
R> a[is.na(a)] <-999
R> a
[1] 1 2 3 999 999 10 20 999 999
Hope that helps,
-steve
--- On Mon, 8/17/09, Steve Murray <[email protected]> wrote:
From: Steve Murray <[email protected]>
Subject: [R] Replacing NA values in one column of a data.frame
To: [email protected]
Received: Monday, August 17, 2009, 11:41 AM
Dear all,
I'm trying to replace NA values with -9999 in one column of
a data frame. I've tried using is.na and the
testdata[testdata$onecolumn==NA] <- 9999 approach, but
whilst neither generate errors, neither result in -9999s
appearing - the NAs remain there!
I'd be grateful for any advice on what I'm doing wrong or
any other suitable approaches.
Many thanks,
Steve
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--
Steve Lianoglou
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact
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