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James,<br>
<br>
Thanks. Just to avoid crossed-wires, which features do you mean
exactly?<br>
<br>
Thanks, Matt<br>
<br>
On 08/12/14 15:25, James Eales wrote:<br>
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<blockquote
cite="mid:CAOfE7BTCa6m9eySE+E-1Jb8dZ4L_8XateboFYLvyB=pG1BZ+yg@mail.gmail.com"
type="cite">
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<div>Matt,</div>
Very impressive show of what data.table can do
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<div>It would be helpful to have a wider set of these more
'advanced' data.table function calls in the FAQ</div>
<div>I keep discovering more features, even after reading
the FAQ, R-help and intro vignette multiple times (this is
not a criticism of the docs, but praise for DT's
flexibility)</div>
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</div>
<div>Learning by example, even if you don't understand it fully
the first time, can be very powerful</div>
<div>James</div>
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<div class="gmail_extra"><br>
<div class="gmail_quote">On 8 December 2014 at 15:03, Matt Dowle
<span dir="ltr"><<a moz-do-not-send="true"
href="mailto:mdowle@mdowle.plus.com" target="_blank">mdowle@mdowle.plus.com</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex"><br>
As a few have asked already, will upload slides later. It
was a collection of different files and part was just an R
script. I'll need to merge together ...
<div class="HOEnZb">
<div class="h5"><br>
<br>
On 08/12/14 14:44, Matt Dowle wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
Hi,<br>
<br>
A video of my talk at H2O World in San Francisco
recently :<br>
<br>
<a moz-do-not-send="true"
href="https://www.youtube.com/watch?v=MvH1eTdsekA"
target="_blank">https://www.youtube.com/watch?v=MvH1eTdsekA</a><br>
<br>
0:00 Examples from two insurance companies using
data.table<br>
12:00 What is data.table, benchmarks dplyr and
pandas<br>
16:55 Overlap joins<br>
20:00 Rolling joins<br>
22:30 data.table radix sorting is better than
hashing (dplyr and pandas)<br>
23:00 H2O (just parallel file reading and grouping
as quick test)<br>
30:00 Quick rerun of talk at Bay Area R User Group
(sorting benchmark, automatic indexes flows through to
dplyr, numeric rounding)<br>
33:10 My status<br>
36:45 Questions<br>
49:26 End<br>
<br>
Comments/suggestions very welcome.<br>
<br>
Matt<br>
<br>
<br>
</blockquote>
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