Blog Archives

Using R — Calling C Code ‘Hello World!’

November 6, 2012

This entry is part 6 of 11 in the series Using ROne of the reasons that R has so much functionality is that people have incorporated a lot of academic code written in C, C++, Fortran and Java into various …   read more ...

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Using R — A Script Introduction to R

October 17, 2012

To many people, R is like the Everglades. They’ve heard of it, they know it’s big and has amazing treasures deep inside. Articles in the media can make it look irresistible. But after a personal or even second hand experience …  &#16...

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Using R — Easier Error Handling with try()

December 7, 2011

In a previous post we looked at error handling in R with the tryCatch() function and how this could be used to write Java style try-catch-finally blocks. This time we’ll look at what can be done with the try() function …   read mo...

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Using R — Basic error Handing with tryCatch()

December 6, 2011

The R language definition section on Exception Handling describes a very few basics about exceptions in R but is of little use to anyone trying to write robust code that can recover gracefully in the face of errors. In fact, …   read mo...

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Using R — Standalone Scripts & Error Messages

December 5, 2011

Open-source R is an amazing tool for statistical analysis and data visualization. Serious R gurus have found ways to do just about anything entirely within the R environment. Nevertheless, there are many of us who wish to plug R into …  ...

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Learning R — Installing Packages

May 12, 2011

One of the reasons to use R for analysis and visualization is the rich ecosystem of ‘packages’ contributed by others. In most cases, just as with smartphones, “There’s a package for that.” If you want to be efficient you n...

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Learning R — Documentation

January 6, 2011

We use R a lot.  R takes care of many our basic data management needs.  R is an awesome statistical analysis package.  R allows you to produce exceptional data graphics.  The only problem is … R has a wicked learning …   read ...

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Mango solutions

RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training


CRC R books series

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