This here bugger worked perfectly until i changed the data set:
for (k in m) {
mos_sub <- subset(work_table_ansfreq, !is.na(work_table_ansfreq[,r]) &
work_table_ansfreq$MOS_GROUP==k & !is.na(work_table_ansfreq$MOS_GROUP))
freq_mos<- table(mos_sub[,r])
qa[,k] <- freq_mos
}
For some reason it removes both NA values (which is normal) and one column
that actually has values. I will demonstrate. Output of the above code is:
I provide care for someone who suffers from
Not applicable Prefer not to answer
4
631 14
Someone in my household suffers from
1
And when i include **exclude = NULL** in the table brackets i get this:
I provide care for someone who suffers from
I suffer from Not applicable
22
6 5258
Prefer not to answer Someone in my
household suffers from <NA>
94
13 0
How do i fix this? Meaning how do i exclude only the NA which should be the
only one excluded from the table anyway.
Thanks!
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