The latest edition of the R Journal is now available, and it's jam-packed with free articles of interest to R users. Here's just a few articles that caught my eye:
Blind R user A. Jonathan R. Godfrey describes why R is the best statistical software for the sight-impaired, and how it can be improved further (for example, with his BrailleR package to represent graphics in text form).
Manuel J. A. Eugster and Thomas Schlesinger introduce the osmar package, which allows you to use OpenSteetMap data to create custom maps with R, just as this map of transit routes on the University of Auckland campus:
David Kahle and Hadley Wickham describe using the ggmap package to combine data and maps to create informative displays like this incidence map of violent crime in Houston:
Lee S. McDaniel, Nicholas C. Henderson and Paul J. Rathouz make excellent use of the sparse-matrix capabilities of R to create a fast implementation of the General Estimating Equations (GEE) algorithm, typically used for longitudinal data analysis.
Antony Unwin, Heike Hofmann and Dianne Cook note that there are more than 3000 data sets available in R packages (making CRAN a more widely used data archive than StatLib or OzDASL), and provide guidance to package authors on including more graphical examples in package documentation.
There are many more articles to check out in this latest edition of the R Journal. You can find the index for the complete issue at the link below.
R Journal: Volume 5/1, June 2013
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