<div dir="ltr"><span style="font-size:13px">fread() and in particular that you can paste content directly into the terminal i.e. fread("ctrl-v")</span><div style="font-size:13px">fread() that it can read directly from a massive gzipped text file using a call to a system command, with no hassle i.e. fread("gunzip -c massive_file.txt")</div><div style="font-size:13px"><br></div><div style="font-size:13px">foverlaps() just that it exists and how quick it is for region overlaps (I do a lot of genomics)</div><div style="font-size:13px"><br></div><div style="font-size:13px">subset.data.table() allows negation of column selection i.e. subset(DT,select=-unwanted_column)</div><div style="font-size:13px"><br></div><div style="font-size:13px">data.table allows chaining of different selection statements DT[value<0.5][value>0.4][id %in% my_interesting_id_list]</div><div style="font-size:13px"><br></div><div style="font-size:13px">I discover more every time I use it, just thought some more complex examples (like the every-roof-in-the-uk machine learning example from your talk) would be helpful to illustrate the range of expressions you can supply to a data.table</div><div style="font-size:13px">The docs are very good and hugely comprehensive, just sometimes its best to start with a complex example and then take it apart</div></div><div class="gmail_extra"><br><div class="gmail_quote">On 8 December 2014 at 22:49, Matt Dowle <span dir="ltr"><<a 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">
<div text="#000000" bgcolor="#FFFFFF">
<div><br>
James,<br>
<br>
Thanks. Just to avoid crossed-wires, which features do you mean
exactly?<br>
<br>
Thanks, Matt<div><div class="h5"><br>
<br>
On 08/12/14 15:25, James Eales wrote:<br>
</div></div></div><div><div class="h5">
<blockquote type="cite">
<div dir="ltr">
<div>Matt,</div>
Very impressive show of what data.table can do
<div>
<div>
<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>
</div>
</div>
<div>Learning by example, even if you don't understand it fully
the first time, can be very powerful</div>
<div>James</div>
</div>
<div class="gmail_extra"><br>
<div class="gmail_quote">On 8 December 2014 at 15:03, Matt Dowle
<span dir="ltr"><<a 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>
<div><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 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>
<br>
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</blockquote>
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