[datatable-help] fread'ing logicals
Eduard Antonyan
eduard.antonyan at gmail.com
Sun Sep 15 23:42:16 CEST 2013
+1 for T and F, but definitely not because it's that way in read.csv (which
imo is not a good reason), but rather because those are commonly used
substitutes for TRUE and FALSE.
On Sep 14, 2013 5:29 AM, "Arunkumar Srinivasan" <aragorn168b at gmail.com>
wrote:
> Matthew,
>
> +1 for retaining T and F like read.csv.
> +1 for the dropins() feature as well.
>
> Arun
>
> On Saturday, September 14, 2013 at 11:53 AM, Matthew Dowle wrote:
>
> On 14/09/13 06:48, Chinmay Patil wrote:
>
> I didn't mean changes in data.table's interface but the way data.table
> works in itself compared to normal data frames. I know there are valid
> reasons for structuring data.table's interface the way it is but not all
> users get it immediately.
>
>
> The bottom line in my mind is that even if base syntax was sped up
> (assignment to an unnamed data.frame needn't copy the whole data.frame
> for example), I would still move from
> subset()/transform()/with()/DF[i,j]<-value syntax, to i,j and by inside
> [...] with .SD,.I,.N and := in j. I can do things with that syntax
> that I need to do which aren't always so easy with base syntax (like
> adding columns by reference by group).
>
> And base R syntax is indeed being sped up by pqR, Renjin, Riposte, TERR,
> CXXR, fastr which may feed into GNU R. Once that is mature and the dust
> has settled, I would still move from data.frame to data.table on each of
> them. Maybe we should market the things that data.table does that base
> R doesn't. Rather than speed differences.
>
>
> As for data.table, I am not complaining, just saying what other users
> complaints I have heard of.
> I personally love data.table and am willing to put the effort to learn
> best ways to use it while most users aren't.
>
>
> Great. data.table is for people like you.
>
> So we'll keep the default fread'ing of "T" and "F" as logicals then for
> consistency with read.csv.
>
> And I still hope to produce a drop-in replacement for read.csv which
> returns a data.frame but uses fread under the hood. That will speed up
> existing code, but users can use the extra features of fread if they
> want, too.
>
> Matthew
>
>
> Chinmay
>
> On 14 Sep, 2013, at 1:29 PM, Steve Lianoglou <lianoglou.steve at gene.com>
> wrote:
>
> Thanks for the quick response.
>
> As for the "learning curve" stuff -- no real comment there, but:
>
> For eg. I recently heard complains about data.table itself from due to
> changes in interface
>
> Could you provide some concrete examples about which changes have
> stumped users? Perhaps we can learn from these critiques. I had
> thought we were pretty good about discussing any (breaking) changes on
> list, but I'd be interested to see where this has failed so it might
> perhaps be avoided in the future.
>
> and learning curve that data.table comes with... I hear
> similar complaints about some packages like ggplot2, plyr..
>
> Even though all these are great packages.. people don't like radical
> changes
> to interfaces as it makes refactoring older code even more painful.
>
> Still curious to hear what radical changes have come down the pipe.
>
> Thanks for taking the time to comment.
>
> Cheers,
> -steve
>
> --
> Steve Lianoglou
> Computational Biologist
> Bioinformatics and Computational Biology
> Genentech
>
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