> -----Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Wade Wall
> Sent: Wednesday, December 08, 2010 12:11 PM
> To: r-h...@stat.math.ethz.ch
> Subject: [R] evaluating NAs in a dataframe
>
> Hi all,
>
> How can one evaluate NAs in a numeric dataframe column? For example, I
> have
> a dataframe (demo) with a column of numbers and several NAs. If I write
> demo.df >= 10, numerals will return TRUE or FALSE, but if the value is
> "NA", "NA" is returned. But if I write demo.df == "NA", it returns as
> "NA"
> also. I know that I can remove NAs, but would like to keep the dataframe
> as
> is without creating a subset. I basically want to add a line that
> evaluates
> the NA in the demo dataframe.
>
> As an example, I want to assign rows to classes based on values in
> demo$Area. Some of the values in demo$Area are "NA"
>
> for (i in 1:nrow(demo)) {
> if (demo$Area[i] > 0 && demo$Area[i] < 10) {Class[i]<-"S01"} ## 1-10 cm2
> if (demo$Area[i] >= 10 && demo$Area[i] < 25) {Class[i] <- "S02"} ##
> 10-25cm2
> if (demo$Area[i] >= 25 && demo$Area[i] < 50) {Class[i] <-"S03"} ## 25-50
> cm2
> if (demo$Area[i] >= 50 && demo$Area[i] < 100) {Class[i] <-"S04"} ## 50-
> 100
> cm2
> if (demo$Area[i] >= 100 && demo$Area[i] < 200) {Class[i] <- "S05"} ##
> 100-200 cm2
> if (demo$Area[i] >= 200 && demo$Area[i] < 400) {Class[i] <- "S06"} ##
> 200-400 cm2
> if (demo$Area[i] >= 400 && demo$Area[i] < 800) {Class[i] <- "S07"} ##
> 400-800 cm2
> if (demo$Area[i] >= 800 && demo$Area[i] < 1600) {Class[i] <- "S08"} ##
> 800-1600 cm2
> if (demo$Area[i] >= 1600 && demo$Area[i] < 3200) {Class[i] <- "S09"} ##
> 1600-3200 cm2
> if (demo$Area[i] >=3200) {Class[i] <- "S10"} ## >3200 cm2
> }
>
> What happens is that I get the message "Error in if (demo$Area[i] > 0 &&
> demo$Area[i] < 10) { : missing value where TRUE/FALSE needed"
>
> Thanks for any help
>
> Wade
>
Wade,
As you have discovered, you need to test for NA first, and to do that you need
to use is.na(). Something like this should work
for (i in 1:nrow(demo)) {
if (is.na(demo$Area[i])) Class[i] <- "Sna" else
if (demo$Area[i] < 10) Class[i] <- "S01" else
if (demo$Area[i] < 25) Class[i] <- "S02" else
if (demo$Area[i] < 50) Class[i] <- "S03" else
if (demo$Area[i] < 100) Class[i] <- "S04" else
if (demo$Area[i] < 200) Class[i] <- "S05" else
if (demo$Area[i] < 400) Class[i] <- "S06" else
if (demo$Area[i] < 800) Class[i] <- "S07" else
if (demo$Area[i] < 1600) Class[i] <- "S08" else
if (demo$Area[i] < 3200) Class[i] <- "S09" else
Class[i] <- "S10"
}
Hope this is helpful,
Dan
Daniel Nordlund
Bothell, WA USA
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