The problem might be that "NAs" in the dataset are blank
On Wed, Jun 5, 2013 at 9:54 AM, Daniel Tucker <dtuck...@u.rochester.edu>wrote:
> 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.tuc...@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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