In my experience with R learners there are two basic types. The “show me the code and what it does and let me play” type and the “please give me step by step directions” type. I’ve broken the following tutorial … Continue reading →![]()
In my experience with R learners there are two basic types. The “show me the code and what it does and let me play” type and the “please give me step by step directions” type. I’ve broken the following tutorial … Continue reading →![]()
For some reason R is not happy with its 64-bit cousin when installing source packages:
* installing *source* package ‘XMLSchema’ ... ** R ** inst ** preparing package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded *** arch - i386 *** arch - x86_64 /Library/Frameworks/R.framework/Resources/bin/R: line 259: /Library/Frameworks/R.framework/Resources/bin/exec/x86_64/R: Bad CPU type in executable /Library/Frameworks/R.framework/Resources/bin/R: line 259:...
For the last decade or so, the go-to software for Bayesian statisticians has been BUGS (and later the open-source incarnation, OpenBugs, or JAGS). BUGS is used for multi-level modeling: using a specialized notation, you can define random variables of various distributions, set Bayesian priors for their parameters, and create the network of relationships that describe how the random variables...
Why do I always forget how to do this?
You will need to adjust the paths based on your version of the GDAL and Proj4 frameworks.
With Ewen (aka @3wen), not only we have been playing on Twitter this month, we have also been working on kernel estimation for densities of spatial processes. Actually, it is only a part of what he was working on, but that part on kernel estimation has been the opportunity to write a short paper, that can now be downloaded on hal. The problem...
When I learned about principal component analysis (PCA), I thought it would be really useful in big data analysis, but that's not true if you want to do prediction. I tried PCA in my first competition at kaggle, but it delivered bad results. This post illustrates how PCA can pollute good predictors.
When I started examining this problem,...