(This article was first published on

**Curving Normality » R-Project**, and kindly contributed to R-bloggers)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. On a fixed page on this website (www.rensenieuwenhuis.nl/r-project/r-sessions-index/) I will continue to update this index with new editions of the R-Sessions.

A .PDF manual containing many of the R-Sessions material is available here.

## Introducing R

## 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)

## Various

- Running R Twice on Apple Mac OS X
- Impressive R Speeds
- Text Editors for R: Textmate
- Text Editors for R: Internal Editor on OS X>

To

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