R (Programming Language)

R is an open source programming language for statistical analysis and graphics.

Its software and manual are online at http://cran.r-project.org/. Third party books are available for learning R.^[1][2]

Graphical interfaces are available:

• R Commander
• Deducer

Uses[edit]

Statistics[edit]

An interactive package for instructions (12 pages) on using R for statistics is available^[3] with a commercial book for further detail (376 pages).^[1]

Mantel-Haenszel Chi-square Test[edit]

^[4][5]

Simple statistical inference[edit]

Basic tests, such as T-test, chi-square and others are described in the Chapter, "Chapter Simple Inference", of http://cran.r-project.org/web/packages/HSAUR2/.

Regression[edit]

Non-linear[edit]

• Nonlinear regression with R
• Linear and Nonlinear Mixed Effects Models
• Non-linear regression with brute force
• Linear and Nonlinear Mixed Effects Models
• Higher Order Inference for Nonlinear Heteroscedastic Models
• Tools for nonlinear regression diagnostics

Diagnosis[edit]

Relevant packages include http://cran.r-project.org/web/packages/ROCR/ and http://cran.r-project.org/web/packages/DiagnosisMed/.

Meta-analysis[edit]

• Meta-analysis of treatments
  • rmeta
  • HSAUR2 interactive package with a chapter containing sample demonstrations, "Meta-Analysis: Nicotine Gum and Smoking Cessation and the Effcacy of BCG Vaccine in the Treatment of Tuberculosis" in "A Handbook of Statistical Analyses Using R".^[3]
  • metafor package with manual.^[6] Additional information is at http://www.metafor-project.org.
• Meta-analysis of diagnostic test accuracy
  • hierarchical summary ROC

Recursive partitioning[edit]

• rpart package
• HSAUR2 interactive package with a chapter containing sample demonstrations, "Recursive Partitioning: Predicting Body Fat and Glaucoma Diagnosis" in "A Handbook of Statistical Analyses Using R".^[3]

References[edit]