# Tutorials

### NYT: In Simulation Work, the Demand Is Real

June 16, 2009 |

The New York Times published this interesting article on how the ability to design and perform computer simulations is a highly marketable skill for careers across many disciplines.In methodology development we use simulation nearly every day. We've developed our own specialized genetic data simulation software, genomeSIMLA, that's freely available ... [Read more...]

### Side by side analyses in Stata, SPSS, SAS, and R

June 15, 2009 |

I've linked to UCLA's stat computing resources once before on a previous post about choosing the right analysis for the questions your asking and the data types you have. Here's another section of the same website that has code to run an identical analysis in all of these statistical packages, ... [Read more...]

### Free one-day R course at Vanderbilt

May 26, 2009 |

The Vanderbilt Kennedy Center is offering a free (repeat, free) one-day introductory course to the R statistical computing language on June 23, taught by Theresa Scott from the department of Biostatistics. You can find contact/registration info at the link below.Vanderbilt Kennedy Center - An Introduction to the Fundamentals & Functionality ... [Read more...]

### Documentation and tutorial roundup

June 4, 2007 |

I recently lost my documentation folder (oops), so I had to go online and retrieve the documentation files and tutorials that I find indispensible for working. I decided I’d save myself and everyone else the trouble by posting the list here. All of the files are available in PDF ... [Read more...]

### Merging data: A tutorial

May 7, 2006 |

The situation: you have two datasets with a common variable, and you want to incorporate both into one large dataset containing all of the variables. This is called merging data, and it’s easy to do in any standard statistical package. In these examples, I assume that there is only ... [Read more...]

### Basic factor analysis in R

February 17, 2006 |

The call to perform factor analysis on a set of variables in R is: fact1 [Read more...]
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