Blog Archives

R Courses at London, Leeds and Newcastle

August 30, 2016
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R Courses at London, Leeds and Newcastle

Over the next few months we’re running a number of R courses at London, Leeds and Newcastle. September 2016 (Newcastle) Sept 12th: Introduction to R Sept 13th: Statistical modelling Sept 14th: Programming with R Sept 15th: Efficient R: speeding up your code Sept 16th: Advanced graphics October 2016 (London) Oct 3rd: Introduction to R Oct 4th:

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R Courses at Newcastle

April 22, 2016
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R Courses at Newcastle

Over the next two months I’m running a number of R courses at Newcastle University. May 2016 May 10th, 11th: Predictive Analytics May 16th – 20th: Bioconductor May 23rd, 24th: Advanced programming June 2016 June 8th: R for Big Data June 9th: Interactive graphics with Shiny Since these courses are on  advanced topics, numbers are limited

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RStudio addins manager

March 31, 2016
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RStudio addins manager

RStudio addins let you execute a bit of R code or a Shiny app through the RStudio IDE, either via the Addins dropdown menu or with a keyboard shortcut. This package is an RStudio addin for managing other addins. To run these addins, you need the latest version of RStudio. Installation The package can be

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RANDU: The case of the bad RNG

February 16, 2016
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RANDU: The case of the bad RNG

The German Federal Office for Information Security (BSI) has established criteria for quality random number generator (rng): A sequence of random numbers has a high probability of containing no identical consecutive elements. A sequence of numbers which is indistinguishable from true random’ numbers (tested using statistical tests. It should be impossible to calculate, or guess,

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Shiny benchmarks

February 15, 2016
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Shiny benchmarks

A couple of months ago, the first version of benchmarkme was released. Around 140 machines have now been benchmarked. From the fastest (an Apple i7) which ran the tests in around 10 seconds, to the slowest (an Atom(TM) CPU N450 @ 1.66GHz) which took 420 seconds! Other interesting statistics: Around 6% of people ran BLAS

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Crowd sourced benchmarks

December 1, 2015
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Crowd sourced benchmarks

When discussing how to speed up slow R code, my first question is what is your computer spec? It always surprises me when complex biological experiments, costing a significant amount of money, are analysed using a six year old laptop. A new desktop machine costs around £1000 and that money would be saved within a

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useR 2015: Computational

July 1, 2015
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useR 2015: Computational

These are my initial notes from useR 2015. I will/may revise when I have time. Computational Performance; Chair: Dirk Eddelbuettel Running R+Hadoop using Docker Containers (E. James Harner) Introduction Big data architectures: HDFS/Hadoop: software framework for distributed storage and distributed processing Tachyon/Spark: uses in-memory Rc2 server (R cloud computing) Has an editor & output panel.

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useR 2015: Networks

July 1, 2015
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useR 2015: Networks

These are my initial notes from useR 2015. Will revise when I have time. fbRads: Analyzing and managing Facebook ads from R (Gergely Daroczi) Modern advertising Google/Amazon/Facebook use our information Ad platforms: Google: RAdwords, facebook likes: fbRads. You can use the facebook API to get information from facebook. Get hashes of email address, not the

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useR 2015: Romain Francois: My R adventures

July 1, 2015
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useR 2015: Romain Francois: My R adventures

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",

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Standardising Function Names in R

March 31, 2015
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Standardising Function Names in R

The renamer Package Tired of the disparate naming systems in R? Then this is the package for you. Installing the package The package is located in my drat. To install install.packages("renamer", repos="http://csgillespie.github.io/drat", type="source") or if you have drat installed drat::addRepo("csgillespie") install.packages("renamer", type="source") The source is available on my github page Example: The CamelCaseR If have an

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