[datatable-help] Table function deletes non NA values in R

[phdmonster]

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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