Thanks, that worked.
*Ben Caldwell*
On Thu, Apr 28, 2011 at 2:02 PM, David Winsemius wrote:
>
> On Apr 28, 2011, at 3:53 PM, Benjamin Caldwell wrote:
>
> Hi folks,
>>
>> I'm dealing with a dataset with a lot of NAs, and want to use subset on
>> the
>> data without removing the NAs from the th
On Apr 28, 2011, at 3:53 PM, Benjamin Caldwell wrote:
Hi folks,
I'm dealing with a dataset with a lot of NAs, and want to use subset
on the
data without removing the NAs from the the dataframe; e.g.
rws50 <- subset(rw.fire.RW,shigo.av<50)
This removes instances with NA for the value in ad
On Apr 28, 2011, at 3:21 PM, Jannis wrote:
> On 04/28/2011 09:53 PM, Benjamin Caldwell wrote:
>> rws50<- subset(rw.fire.RW,shigo.av<50)
>
> quick and dirty would be to replace all NAs with -9 (or similar), use
> subset, and set all values ==-9 in the subset back to NA. There may be
> mo
On 04/28/2011 09:53 PM, Benjamin Caldwell wrote:
rws50<- subset(rw.fire.RW,shigo.av<50)
quick and dirty would be to replace all NAs with -9 (or similar),
use subset, and set all values ==-9 in the subset back to NA. There
may be more elegant solutions, though.
Jannis
_
Hi folks,
I'm dealing with a dataset with a lot of NAs, and want to use subset on the
data without removing the NAs from the the dataframe; e.g.
rws50 <- subset(rw.fire.RW,shigo.av<50)
This removes instances with NA for the value in addition to anything <50.
Any suggestions much appreciated.
*B
5 matches
Mail list logo
