Try using a loop like the following
dat0 <- read.table("time1.dat")
id <- c("e1dq", "e1arcp", "e1dev", "s1prcp", "s1nrcp","s1ints","a1gpar", "a1pias",
"a1devt")
for (a in 1:length(id)) {
dat0[dat0$id[a]==-999.00000000,as.character(id[a])] <- NA
}
--
Muhammad Rahiz
Researcher & DPhil Candidate (Climate Systems & Policy)
School of Geography & the Environment
University of Oxford
On Wed, 30 Mar 2011, Christopher Desjardins wrote:
Hi,
I am trying to write a loop to recode my data from -999 to NA in R. What's
the most efficient way to do this? Below is what I'm presently doing, which
is inefficient. Thanks,
Chris
dat0 <- read.table("time1.dat")
colnames(dat0) <- c("e1dq", "e1arcp", "e1dev", "s1prcp", "s1nrcp", "s1ints",
"a1gpar", "a1pias", "a1devt")
dat0[dat0$e1dq==-999.00000000,"e1dq"] <- NA
dat0[dat0$e1arcp==-999.00000000,"e1arcp"] <- NA
dat0[dat0$e1dev==-999.00000000,"e1dev"] <- NA
dat0[dat0$s1prcp==-999.00000000,"s1prcp"] <- NA
dat0[dat0$s1nrcp==-999.00000000,"s1nrcp"] <- NA
dat0[dat0$s1ints==-999.00000000,"s1ints"] <- NA
dat0[dat0$a1gpar==-999.00000000,"a1gpar"] <- NA
dat0[dat0$a1pias==-999.00000000,"a1pias"] <- NA
dat0[dat0$a1devt==-999.00000000,"a1devt"] <- NA
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