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Carlo il curatore dell'ottimo podcast tecnologico Tecnica Arcana mi ha intervistato sulla mia professione e su R. Qui potete scaricare l'intervista in formato mp3.
For all bioinformaticians and R users out there: the Bioconductor project for the analysis and comprehension of genomic data is out! A lot of interesting new stuff! See the full announcement here.
The new R 2.10.0 is out! Get it from here.
If you like take a look at these posts for some miscellaneous advices to make the upgrade easier.
Fell free to contribute with suggestions about how to upgrade your R installation.
The Elements of Statistical Learning written by Trevor Hastie, Robert Tibshirani and Jerome Friedman is A-MUST-TO-READ for everyone involved in the data mining field! Now you can legally download a copy of the book in pdf format from the authors websit...
As I said before, I consider the R-Help mailing list an invaluable source of information if you want to get things done in R. Recently the stackoverflow website, a site where programmers can post and answer questions about a wide list of programming la...
Inspired by this post (suggested here by the always useful Revolutions blog), I attempted to plot the position of CRAN mirrors on a map taking advantage of the nice R package RgoogleMaps (check the dependencies!). Below the code:
library(XML)
# downlo...
Today I'd like to suggest the interesting Rosetta Code site:Rosetta Code is a programming chrestomathy site. The idea is to present solutions to the same task in as many different languages as possible, to demonstrate how languages are similar and diff...
A quick basic tip which can come in handy whether you need to rapidly remove files from a directory:junk <- dir(path="your_path", pattern="your_pattern") # ?dirfile.remove(junk) # ?file.removeClearly, for advanced needs, you can use system() and al...
This tip may be useful in the situations when you need to set the number of digits to print for the different columns in a matrix/data.frame to be outputted as a LaTeX table.
For example:
#install.packages("xtable")
#library(xtable)
tmp <- m...
Here you can find a very interesting post depicting the R strengths in 'real-time statistics'.
I'd like to use the occasion to thank David Smith for hosting the best, imho, blog on R!
Follow Him on Twitter: @revodavid .