data.table provides a high-performance version of base R’s
data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.
Tuesday 22nd October 2019
Matt Dowle will be in New York for H2O World.
Please Ask-Me-Anything starting now: click http://sli.do and enter event code “askmattdowle”.
I’ll answer the most voted questions during my session: https://h2o.ai/h2oworldny-livestream-reg
?fread, see also convenience features for small data
IRanges::findOverlaps), non-equi joins (i.e. joins using operators
>, >=, <, <=), aggregate on join (
by=.EACHI), update on join
or update only if newer revision is available
See the Installation wiki for more details.
[ operator the same way you would use
data.frame one, but…
jargument, not just list of columns
jexpression by group
data.table is widely used by the R community. As of July 2019, it was used by over 680 CRAN and Bioconductor packages and was the 9th most starred R package on GitHub. If you need help, the
data.table community is active StackOverflow, with nearly 9,000 questions.
Guidelines for filing issues / pull requests: Contribution Guidelines.