The bigmemory is an excellent package for handling big matrix in R. There are several sister packages provided by "The Bigmemory Project": biganalytics for analysis, bigtabulate for tabulation, bigalgebra for linear algebra functionality, synchronicity...
The bigmemory is an excellent package for handling big matrix in R. There are several sister packages provided by "The Bigmemory Project": biganalytics for analysis, bigtabulate for tabulation, bigalgebra for linear algebra functionality, synchronicity for synchronization via mutexes and interprocess communication and message passing.
biganalytics provides a few functions for analysis: linear regression model, generalized linear regression model, and...
I recently discovered the mtable() command in the memisc library and its use with toLatex() to produce nice summary output for lm and glm objects in a nicely formatted table like this:Once you have your linear model objects, all you need is one command...
I recently discovered the mtable() command in the memisc library and its use with toLatex() to produce nice summary output for lm and glm objects in a nicely formatted table like this:Once you have your linear model objects, all you need is one command...
Treebase is a great resource for phylogenetic trees, and has a nice interface for searching for certain types of trees. However, if you want to simply download a lot of trees for analyses (like that in Davies et al.), then you want to be able to access...
Kaggle is a site for participating in predictive analytics competitions. It is also a great resource for learning how to build powerful predictive models, and the Overfitting competition provides a good introduction to the common tools used by a predic...
I recently decided to present a talk to the Denver R Users Group (DRUG) on how to make an R package (May 17). There were only two problems: (1) I’ve never made a package and (2) I had nothing in mind … Continue reading →
I’m a HUGE fan of Structural Equation Modeling. Heck, I’ve even begun teaching short SEM workshops. (seriously, if you want, email me and we’ll talk). For those of you unfamiliar with the technique, it’s awesome for three main reasons. It’s a method of teasing apart direct and indirect interactions in your data. It allows you
We've introduced R in the organization!It is running along with the heavy weights of statistical analysis like SAS, SPSS, Matlab. Here's what we did and how we did it...HOW DID IT START?I started learning R last year and loved its simplicity and power....
We've introduced R in the organization!It is running along with the heavy weights of statistical analysis like SAS, SPSS, Matlab. Here's what we did and how we did it...HOW DID IT START?I started learning R last year and loved its simplicity and power....
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
