R (programming language)
Jump to navigation
Jump to search
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:
Uses
Statistics
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
Simple statistical inference
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
Non-linear
- 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
Relevant packages include http://cran.r-project.org/web/packages/ROCR/ and http://cran.r-project.org/web/packages/DiagnosisMed/.
Meta-analysis
- 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
- 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
- ↑ 1.0 1.1 Torsten Hothorn; Everitt, Brian (2009). A Handbook of Statistical Analyses Using R, Second Edition. Boca Raton: Chapman & Hall/CRC. ISBN 1-4200-7933-6.
- ↑ Dalgaard, Peter. Introductory Statistics with R (Statistics and Computing). New York: Springer. ISBN 0-387-79053-5.
- ↑ 3.0 3.1 3.2 Torsten Hothorn; Everitt, Brian. CRAN - Package HSAUR, 2nd ed.
- ↑ Noguchi K, et al. lawstat: An R package for biostatistics, public policy, and law
- ↑ Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
- ↑ Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1-48.