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Teaser: Running R as a map/reduce job from Riak

August 17, 2011
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Teaser: Running R as a map/reduce job from Riak

Alliterations aside, here is a preview of something I’ve been tinkering with. My goal is to be able to run …Continue reading »

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Ulrike Gromping – Design of Experiments in R

August 16, 2011
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Ulrike Gromping – Design of Experiments in R

Example: Car seat occupation: Algorithm must decide whether airbag opens: Must open for adult but not for small child or if the seat if empty a few others I missed. Key questions are: What type of design: 32 run regular fractional factorial Response measurement – depends on dummy position, so repeat for 3 different dummy

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High Performance Computing

August 16, 2011
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High Performance Computing

Wilem Ligtenberg – GPU computing and R Why GPU computing – theoretical GFLOPs for a GPU is three times greater than a CPU. Use GPUs for same instruction multiple data problems (SIMD). Initially GPUs were developed for texture problems. For example, a wall smashed into lots of pieces. Each core handled a single piece. CUDA

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R Code Examples on Graphics

August 16, 2011
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R Code Examples on Graphics

Some useful R code examples on  graphics are: Learn R Toolkit: It contains PowerPoint slideshows, videos, R scripts and data files to help Excel users move up to R. R code examples are provided for panel charts, conditional format, dot … Continue reading →

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Kaleidoscope Ic (useR! 2011)

August 16, 2011
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Kaleidoscope Ic (useR! 2011)

These are my rough notes on the Kaleidoscope Ic session. David Smith – The R Ecosystem (useR! 2011) David Smith works for Revolution Analytics. Quick overview of the R project – useR, r-journal, and r-forge. Social media starting to play a part in R – Google+, twitter, stackoverflow, and the traditional R mailing list. The

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Brian Ripley – The R Development Process (useR! 2011)

August 16, 2011
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Brian Ripley – The R Development Process (useR! 2011)

There are my notes on the User2011 invited talk. Brian Ripley has been a member of R core since 1998 The R Development Process – A insideR’s view R Timeline: JCGS paper submitted in 1995. 1997: CRAN(Mar), Core team(Aug), CVS (Sept) R 1.0.0 Feb 2000 – 2.8MB. Many people don’t take 0.X.X seriously R 2.0.0 Oct

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Paul Murrell – Introduction to Grid graphics (useR! 2011)

August 15, 2011
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Paul Murrell – Introduction to Grid graphics (useR! 2011)

Typically, I’m very bad at taking notes in conference. This time around, I intend to make notes for each some of the talks I attend at this year’s useR! 2011 conference. Below are my notes that I made during this afternoon’s tutorial. Note: these are just notes I made and aren’t meant to be a

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Stop! (In the name of a sensible interface)

August 12, 2011
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Stop! (In the name of a sensible interface)

In my last post I talked about using the number of lines in a function as a guide to whether you need to break it down into smaller pieces. There are many other useful metrics for the complexity of a function, most notably cyclomatic complexity, which tracks the number of different routes that code can

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Getters and setters in R

August 12, 2011
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Tweet When I first started using R, one of the things that attracted me was its claim to be an object-oriented programming (OOP) language. Coming from a Java background, I was used to designing software with OOP concepts like encapsulation and inheritance but, when I turned my hand to R, I quickly...

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Monster functions (Raaargh!)

August 12, 2011
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Monster functions (Raaargh!)

It’s widely considered good programming practice to have lots of little functions rather than a few big functions. The reasons behind this are simple. When your program breaks, it’s much nicer to debug a five line function than a five hundred line function. Additionally, by breaking up your code into little chunks, you often find

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