I had the same reaction when I found out ‘subset’ already did this :-).
I’ve the same impression that it’s a bit odd, even though some people prefer
it..
--
Arun
On 10 Feb 2015 at 19:39:29, Chris Neff ([email protected]) wrote:
Wow, didn't realize that worked! So there is precedent then. It just looks
funny to me, but you are right it is easily avoided. I just didn't want to see
more divergence from subset and data.frame logic, but since this already works
with subset that's fine.
On Tue Feb 10 2015 at 1:34:03 PM Arunkumar Srinivasan <[email protected]>
wrote:
Chris,
But what’s the problem? You can simply not use it?
It’s not that uncommon. `base::subset()` does this.
--
Arun
On 10 Feb 2015 at 19:31:43, Chris Neff ([email protected]) wrote:
I don't like this idea. It adds extra that it doesn't need to. Doing it with
column numbers is more straightforward, and if all you have is names you can
get numbers by doing match() or whatever and then getting the sequence with
seq(). Having a sequence of column names is odd.
On Tue Feb 10 2015 at 1:28:25 PM Arunkumar Srinivasan <[email protected]>
wrote:
Farrel,
It could be useful. Please file an issue on the github project page. Thanks.
--
Arun
On 10 Feb 2015 at 01:08:46, Farrel Buchinsky ([email protected]) wrote:
So lets say one has a data.table with the following columns
first.name, last.name, height, weight, shoe.size, eye.color, hair.length,
appendage.size, ear.length
If one wanted to just include weight through hair.length one would have to go
something such as this
dt[,list(weight, shoe.size, eye.color, hair.length)]
Is there a way to do something along the lines of
dt[,list(weight...hair.length)]
If so, can you direct me to the documentation? If not can you build it? Is it
difficult? Some data.tables have many columns.
Thanking you in anticipation.
Farrel
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