Subsetting out missing values for a certain variable

Also tried this but results werent any different

subset1<- subset(dframe, glb_ind="Y" | sample==1 | !is.na(glb_ind))
subset2<-subset(dframe, cwar_ind="Y" |sample==2 | !is.na(cwar_ind))
subset3<-subset(dframe, reg_ind="Y" | sample==3 | !is.na(reg_ind))


On Wed, Jun 5, 2013 at 9:33 AM, Daniel Tucker
<daniel.tucker at rochester.edu>wrote:

I am trying to create a new datafarme using the subset function given 2
conditions

subset1<- subset(dframe, glb_ind="Y" | sample==1)
subset2<-subset(dframe, cwar_ind="Y" | sample==2)
subset3<-subset(dframe, reg_ind="Y" | sample==3)

However, my first conditions (glb_ind,cwar_ind, and reg_ind) all have
missing values (they are either Y, N, or no value. In subsetting my data, I
am looking to not only get rid of the "N" in the new dataframes, but also
the NA's. I don't want to na.omit the entire data frame; I only want to get
rid of missing values (and non Y values) for a certain variable (glb_ind,
cwar_ind, reg_ind) for each subset. Is there anyway I can do this?

Thanks,
Dan

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