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<DIV><FONT size=2 face=Arial>Interesting. I don't know python but it's been on
the radar a few times.</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:AANLkTikCZL=WhE_UoWiUvoQ+TLXj8dgrJ6iG4GhdOSdv@mail.gmail.com">news:AANLkTikCZL=WhE_UoWiUvoQ+TLXj8dgrJ6iG4GhdOSdv@mail.gmail.com</A>...</DIV>
<DIV>I'm coding in python now. The group I'm in now has a similar tool (closed
source) to data.table but in python and is based on numpy.</DIV>
<DIV><FONT size=2 face=Arial></FONT> </DIV>
<DIV>The api isn't as beautiful as data.table's, but has similar
functionality. </DIV>
<DIV> </DIV>
<DIV>-Rob</DIV>
<DIV> </DIV>
<DIV class=gmail_quote>On Tue, Dec 7, 2010 at 7:54 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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<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"
target=_blank>rforler@uchicago.edu</A>> wrote in message <A
href="news:AANLkTikSsoy8F6aKuQYXW5GWeMLiE+Y07D_3X+K7AeX=@mail.gmail.com"
target=_blank>news:AANLkTikSsoy8F6aKuQYXW5GWeMLiE+Y07D_3X+K7AeX=@mail.gmail.com</A>...</DIV>
<DIV>
<DIV></DIV>
<DIV class=h5>
<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"
target=_blank>mdowle@mdowle.plus.com</A>></SPAN> wrote:<BR>
<BLOCKQUOTE
style="BORDER-LEFT: #ccc 1px solid; MARGIN: 0px 0px 0px 0.8ex; PADDING-LEFT: 1ex"
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"
target=_blank>tshort.rlists@gmail.com</A>> wrote in
message<BR>news:AANLkTik=0j5da9j8_zVaW4DZhygKg6oqRP1Pg+JG3TFg@mail.gmail.com...<BR>
<DIV>
<DIV></DIV>
<DIV>> On Mon, Dec 6, 2010 at 10:54 PM, mbacou <<A
href="mailto:mel@mbacou.com" target=_blank>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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