[This article was first published on Curving Normality » R-Project, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
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
- 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)
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 leave a comment for the author, please follow the link and comment on their blog: Curving Normality » R-Project.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.