The R-Sessions are a series of blog entries on using R. A large part consists of an R-manual I once wrote. Other posts include some tricks I found out, as well as entries detailing functions and packages I wrote for R. The series already entails over forty posts, so I decided to create an index. It is found below, and it will updates with new editions of the R-Sessions.
Introducing R
- Introducing the R-Sessions
- What is R?
- Why R-Project?
- Getting R-Project
- Getting Packages
- Getting Help
Data Manipultion
Graphics
Mixed Models
- Multilevel Model Specification: LME4
- Generalized Multilevel: LME4
- Helper Functions
- Extractor Functions: NLME
- Multilevel Model Specification: NLME
Influence.ME: Tools for detecting influential cases in mixed models
- Introducing Influence.ME
- Influence.ME Overview
- Influence.ME Manual
- Influence.ME: Simple Analysis
- Specification of the intercept
- Influence.ME: Change-log
Some small functions I wrote
- Forward.lmer: Basic stepwise function for mixed effects in R
- Combining Output in a Single Table
- Select Nested Observations with Equal Number of Occurences
- Visualizing Missing Values
Books
- Book: Mixed Effects Models in S and S-Plus (Pinheiro & Bates, 2000)
- Book: An R and S-PLUS Companion to Applied Regression (Fox, 2002)
- Book: Data Analysis using Regression and Multilevel / Hierarchical Models (Gelman & Hill, 2007)
- Book: Introductory Statistics with R (Dalgaard, 2002)