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<DIV><FONT size=2 face=Arial>Thanks Rob. That begs an obvious
question then ... what are you coding in now ?</FONT></DIV>
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<DIV>"Rob Forler" <<A
href="mailto:rforler@uchicago.edu">rforler@uchicago.edu</A>> wrote in
message <A
href="news:AANLkTikSsoy8F6aKuQYXW5GWeMLiE+Y07D_3X+K7AeX=@mail.gmail.com">news:AANLkTikSsoy8F6aKuQYXW5GWeMLiE+Y07D_3X+K7AeX=@mail.gmail.com</A>...</DIV>
<DIV>I can attest that I used data.table very extensively for several months
on large datasets (financial). I was replacing a fair of poorly coded
data/frame, sql, plyr, apply code, and was able to match the previous numbers
and do a significant amount of new analysis because of the ease of using
data.tables.</DIV>
<DIV> </DIV>
<DIV>If I was still coding in R on a regular basis you can gauarauntee I'd use
data.table every day.</DIV>
<DIV> </DIV>
<DIV>Thanks,</DIV>
<DIV>Rob<BR><BR></DIV>
<DIV class=gmail_quote>On Tue, Dec 7, 2010 at 7:30 AM, Matthew Dowle <SPAN
dir=ltr><<A
href="mailto:mdowle@mdowle.plus.com">mdowle@mdowle.plus.com</A>></SPAN>
wrote:<BR>
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class=gmail_quote>Just to clarify also about the date of first release -
March 2010? Any<BR>chance Mel you looked at the CRAN archive page and read
off the last row?<BR>Oldest is first not last on that page :<BR><BR><A
href="http://cran.r-project.org/src/contrib/Archive/data.table/"
target=_blank>http://cran.r-project.org/src/contrib/Archive/data.table/</A><BR><BR>v1.0
was released April 2006 but that was removed from CRAN happily
because<BR>base quickly (within weeks) included features that removed the
need for<BR>data.table. It was re-released in Aug 2008 with new
functionality so that's<BR>the relevant release date for your
purpose.<BR><BR>Feel free to post the puzzling results. You've done well to
use it for 2<BR>weeks without posting, so you can probably tilt towards
using this list more<BR>(on a new thread please). If we can get you over
those hurdles first then<BR>reconsider if the 'robustness' question still
stands.<BR><BR>Other info which you may have not have found yet
...<BR><BR>Crantastic has 5 detailed user reviews of data.table. It does
state that<BR>v1.1 was released over 2 years ago, too, so leads me to guess
you may have<BR>missed the link to crantastic on the data.table
homepage.<BR><BR>There are some oddities in the ranking formula but if you
look at<BR><A href="http://crantastic.org/popcon"
target=_blank>http://crantastic.org/popcon</A> and realise that the batch
near the bottom<BR>starting with reshape, ggplot2 and plyr should be at the
top (seems like a<BR>bug, I'll let them know) then data.table appears to be
around the 8th most<BR>popular CRAN package with average score 4.7/5 and 10
users, compared to<BR>ggplot2's 39 users. So crantastic itself is not
popular since everyone<BR>knows that ggplot2 has many more than 39 users,
and some very popular and<BR>stable packages don't have any votes at all.
Even so perhaps this small<BR>amount of data may be useful in your
assessment generally. "data.table" is<BR>not the easiest to google
for.<BR><BR>The NEWS file (link on the homepage) says that v1.2 was released
in Aug<BR>2008, too, at the bottom, along with what changed in each release
since<BR>then.<BR><BR>Matthew<BR><BR>"Tom Short" <<A
href="mailto:tshort.rlists@gmail.com">tshort.rlists@gmail.com</A>> wrote
in
message<BR>news:AANLkTik=0j5da9j8_zVaW4DZhygKg6oqRP1Pg+JG3TFg@mail.gmail.com...<BR>
<DIV>
<DIV></DIV>
<DIV class=h5>> On Mon, Dec 6, 2010 at 10:54 PM, mbacou <<A
href="mailto:mel@mbacou.com">mel@mbacou.com</A>> wrote:<BR>>> My
question is: is data.table ready for production? Would you rely on
it<BR>>> for<BR>>> sensitive publications?<BR>><BR>> If
you have tight time deadlines, you may want to go with what you<BR>> have
experience with, especially if it involves complicated queries or<BR>>
manipulations. If you've already tried the data.table features
you'll<BR>> need for "production", then using data.table may help you get
things<BR>> done faster.<BR>><BR>> Data.table has been robust for
me on 6-GB datasets on a machine with<BR>> 24 GB of ram. With data.table,
as with most tools, user error is more<BR>> likely than a tool bug, so
you need to test/check your data and your<BR>> results.<BR>><BR>> -
Tom<BR><BR><BR><BR>_______________________________________________<BR>datatable-help
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