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
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