Hello,
The problem seems to be with the formula interface.
# Make up some data
var1 <- rnorm(100)
var2 <- rnorm(100)
var3 <- rnorm(100)
subject <- sample(4, 100, replace = TRUE)
time <- sample(10, 100, replace = TRUE)
var1[sample(100, 10)] <- NA
var2[sample(100, 10)] <- NA
var3[sample(100, 10)]
Dear members of this list,
I'd like to count missing values using the aggregate function.
Something like this:
count_nas <- function(arg1) {
return(sum(is.na(arg1)))
}
aggregate(cbind(var1, var2, var3) ~ subject + time, data = mydataset,
count_nas)
It's not working: I end up with a matri
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