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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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In case you missed it: July Roundup

August 10, 2011
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In case you missed them, here are some articles from July of particular interest to R users. A simulation in R finds the value (or disadvantage) or drawing an X, J, Q or Z in Scrabble. How to display high-quality graphics on the web using SVG output from R. A review of Paul Murrell's talk about raster image support...

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Bayes factors and martingales

August 10, 2011
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Bayes factors and martingales

A surprising paper came out in the last issue of Statistical Science, linking martingales and Bayes factors. In the historical part, the authors (Shafer, Shen, Vereshchagin and Vovk) recall that martingales were popularised by Martin-Löf, who is also influential in the theory of algorithmic randomness. A property of test martingales (i.e., martingales that are non

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SNA: Visualising an email box with R

August 10, 2011
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SNA: Visualising an email box with R

Are statistics sexy? Visualising social networks certainly is! I wrote a little function, which makes producing beautiful plots depicting a mailbox with R an extremely easy task. I find visualisations of ‘social graphs’ particularly appealing. They look like flowers. I … Continue reading →

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