useR 2015: Romain Francois: My R adventures

July 1, 2015
By

(This article was first published on Why? » R, and kindly contributed to R-bloggers)

Using R since 2002 and has been working on Rcpp, Rcpp11, Rcpp14 and dplyr
internals. Worked on a number of big projects.

  • 2005 he set up the R Graph Gallery
  • 2009 worked on rJava
  • 2010 Rcpp
  • 2013 dplyr

Key themes are Performance and usabililty

rJava 0.7-*

Creating objects was messy

d <-jnew("java/lang/Double", 42
.jcal(d, "D", "doubleValue)

rJava 0.8-*

d <- new(J("java/lang/Double"), 42)
d$doubleview

Also much easier to import java packages.

Rcpp

Suppose you have

double add(double a, double b){ return a+b;}

and you want to use it in R. This used to be a lot of work. Before Rcpp, you
used the R/C Api, i.e. use SEXP. A lot of work and boilerplate. With Rcpp the
number of characters needed to translate the simple function above went from 250
to 50. Around 66% of CRAN packages depend (on some way) on Rcpp.

RcppParallel (tbb: thread building blocks)

The package makes it much easier to run things in parallel. Amazingly, a simple
parallel version of sqrt is faster than sqrt

dplyr (everyone knows what it does)

Uses hybrid evaluation. Looking to bring RcppParallel in the (near?) future.

Please note that the notes/talks section of this post is merely my notes on the
presentation. I may have made mistakes: these notes are not guaranteed to be
correct. Unless explicitly stated, they represent neither my opinions nor the
opinions of my employers. Any errors you can assume to be mine and not the
speaker’s. I’m happy to correct any errors you may spot – just let me know!

To leave a comment for the author, please follow the link and comment on their blog: Why? » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)