Here's a ditty to search the cran R packages by descriptioncranSearch = function(q=''){ library(XML) u<-'http://cran.r-project.org/web/packages/' d<-readHTMLTable(u) d]$V1 lib.names <-...
Monthly Archives: June 2010
My Experience at Hadoop Summit 2010 #hadoopsummit
This week I had the opportunity the trek up north to Silicon Valley to attend Yahoo’s Hadoop Summit 2010. I love Silicon Valley. The few times I’ve been there the weather was perfect (often warmer than LA), little to no traffic, no road rage and people overall seem friendly and happy. Not to mention there are so many trees...
Drawing pedigree examples using the kinship R package
I have previously provided sort of an overview about plotting the pedigrees, then specifically using the Graphiviz, while I have lately used the TikZ LaTeX (see slides 11-15) system (see more example). The later gives great (beautiful) results, but at the cost of writing TikZ code - it is not that horible, just time consuming...
Drawing pedigree examples using the kinship R package
I have previously provided sort of an overview about plotting the pedigrees, then specifically using the Graphiviz, while I have lately used the TikZ LaTeX (see slides 11-15) system (see more example). The later gives great (beautiful) results, but at the cost of writing TikZ code - it is not that horible, just time consuming...
Contest: Road Traffic Prediction for Intelligent GPS Navigation
About prize baring contests Competition with prizes are an amazing thing. If you are not sure of that, I urge you to listened to Peter Diamandis talk about his experience with the X prize (start listening at minute 11:40): At short – prizes can give up to 1 to 50 ratio of return on investment of the people giving...
June 2010 edition of R Journal available
The latest edition of the R Journal is now available. This issue includes in-depth articles on the packages IsoGene, glmmBUGS, cshapes, tmvtnorm, neuralnet, glmperm and exactci/exact2x2, plus an example of reproducible research in R. There's also a review of the book A Beginner's Guide to R. The complete edition is available for download in PDF format at the link...
Setting graph margins in R using the par() function and lots of cow milk
It is fairly straightforward to set the margins of a graph in R by calling the par() function with the mar (for margin!) argument. For example, par(mar=c(5.1,4.1,4.1,2.1) sets the bottom, left, top and right margins respectively of the plot region in number of lines of text. Another way is by specifying the margins in inches
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
