Hi All,
I have a data frame which has columns comprised mainly of "NA"s. I know
there are functions na.pass and na.omit etc which can be used in these
situations however I can't them to work in this case. I have a function
which returns the data according to some rule i.e. removal of N in this
code:
nep <- function(data)
{
dummy <- rep(0,378)
for(i in 1:378){
if(is.na(data$with.Wcode)[i])
data$with.Wcode[i] <- "O"
}
for(i in 1:378){
if(data$with.Wcode[i]=="N")
dummy[i] <- i
}
return(data[-dummy,])
}
However, I really don't want to replace the NAs with "O". I'd just like to
gloss over them. I can't just delete them because the structure of the data
frame needs to be maintained. Can anyone suggest how I can write in a line
or two to ignore the NAs instead of replacing them? I've tried this code
but it doesn't work!
nep <- function(data)
{
dummy <- rep(0,378)
for(i in 1:378){
na.pass(data$with.Wcode[i])
if(data$with.Wcode[i]=="N")
dummy[i] <- i
}
return(data[-dummy,])
}
Thank you,
Laura
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