Not having to type `DT` twice would increase readability/reduce errors,
especially that real-life data.tables have much longer names. There was a
related FR to this which suggested incorporating regex and wildcard syntax
- not sure what happened to it.

On Tue, Feb 10, 2015 at 3:45 PM, Arunkumar Srinivasan <[email protected]
> wrote:

> Mel,
>
> The usage would be something like:
>
> DT[, from:to, with=FALSE]
> # or
> DT[, .SD, .SDcols = from:to]
>
> where from and to are the start and end column names. I agree there’s no
> real advantage in terms of typing/prone to errors.
>
> There might be some merit in readability, as people normally remember
> column names and not numbers… And this allows you to refer to the names
> directly without having to type DT and then look up the column or use a
> match() to find out the column programatically or do:
>
> DT[, .SD, .SDcols = names(DT)[some_idx]]
>
>
>
> --
> Arun
>
> On 10 Feb 2015 at 22:39:14, Bacou, Melanie ([email protected]) wrote:
>
>  Everyone,
>
> The varA...varZ construct is borrowed from STATA syntax. Probably a
> reason why it got into subset() in the first place, though definitely not
> very R-like. In fact I’ve never come across this construct in R before and
> had no idea it was actually working either!
>
> I’m not sure dt[, .SD, .SDcols=list(varA...varZ)] is less typing, less
> prone to error, or more readable than dt[, .SD, .SDcols=names(dt)[1:24]
> and using indices is also more flexible (what about if we want more complex
> sequences). I can see one use case for this syntax though if dt might
> change over time but variables always come in known sequences.
>
> Not sure we should really encourage it — but agreed with Arun, if it’s in
> base::subset() then no reason why not.
>
> —Mel.
>
> On 2/10/2015 1:50 PM, Arunkumar Srinivasan wrote:
>
> 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] <http://mailto:[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]> 
> <[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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>   ​
>  --
> Melanie BACOU
> International Food Policy Research Institute
> Snr. Program Manager, HarvestChoice
> Work +1(202)862-5699
> E-mail [email protected]
> Visit www.harvestchoice.org
>
>
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