O'Reilly Radar tracks technology adoption via its annual "State of the Computer Book Market" report. In the latest report of 2011 book sales (amongst all publishers), books about R show a 127% increase in 2011 over 2010: As a language specifically for data analysis, R isn't in the same league in raw sales as general-purpose languages like C++ or...
Monthly Archives: May 2012
Getting R2WinBUGS to talk to WinBUGS 1.4 on Ubuntu 12.04 LTS
Disclaimer 1: WinBUGS is old and not maintained. There are other packages to use, if you would like to take advantage of more modern developments in MCMC such as: PyMC which transparently implements adaptive Metropolis-Hastings proposals (among other great features), or the LaplacesDemon R package, which … Continue reading →
Practicing Script with “ R”: Monitor
These are samples analyzed by a reference method (column: Protein) and by an analytical method with a certain model (column: IFTpro). The idea is to create a Monitor Report for some basic statistics (RMSEP, Bias, SEP, R,RSQ) to see how ...
Zurich, May 2012 – ZurichR Meeting
(This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on his blog: Rmetrics blogs. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web...
Ack! Duplicates in the Data!
As I mentioned in a previous post, I compiled the data set that I’m currently working on in PostgreSQL. To get this massive data set, I had to write a query that was massive by dint of the number of … Continue reading →
R Tutorials and Learning Materials
We are getting ready to host an R bootcamp this summer at work and I am looking at building on materials that already exist. I just wanted to list a few here while I figure out the best ways to incorporate them. Video Tutorials:This is a fairly ne...
Big Data Analytics with R and Hadoop
The open-source RHadoop project makes it easier to extract data from Hadoop for analysis with R, and to run R within the nodes of the Hadoop cluster -- essentially, to transform Hadoop into a massively-parallel statistical computing cluster based on R. In yesterday's webinar (the replay of which is embedded below), Data scientist and RHadoop project lead Antonio Piccolboni...
Theme Elements in ggplot2
This website provides a simple summary of the theme elements that can be set within ggplot2. There should be sufficient information here to change the default settings for graphs within the ggplot2 package.
cumplyr: Extending the plyr Package to Handle Cross-Dependencies
Introduction For me, Hadley Wickham‘s reshape and plyr packages are invaluable because they encapsulate omnipresent design patterns in statistical computing: reshape handles switching between the different possible representations of the same underlying data, while plyr automates what Hadley calls the Split-Apply-Combine strategy, in which you split up your data into several subsets, perform some computation
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
what’s wrong with package comment?!
I spent most of the Sunday afternoon trying to understand why defining did not have the same effect as writing the line until I found there is a clash due to the comment package… The assuredly simple code produces an error message: This is quite an inconvenience as I need to compile my solution manual
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