R (programming language): Difference between revisions

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imported>Robert Badgett
imported>Robert Badgett
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** [http://cran.r-project.org/web/packages/rmeta/ rmeta]
** [http://cran.r-project.org/web/packages/rmeta/ rmeta]
** [http://cran.r-project.org/web/packages/HSAUR2/ HSAUR2] interactive package with a chapter containing sample demonstrations, "[http://cran.r-project.org/web/packages/HSAUR2/vignettes/Ch_meta_analysis.pdf 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".<ref name="urlCRAN - Package HSAUR2">{{cite web |url=http://cran.r-project.org/web/packages/HSAUR2/ |title=CRAN - Package HSAUR, 2nd ed |author=Torsten Hothorn; Everitt, Brian |authorlink= |coauthors= |date= |format= |work= |publisher= |pages= |language= |archiveurl= |archivedate= |quote= |accessdate=}}</ref>
** [http://cran.r-project.org/web/packages/HSAUR2/ HSAUR2] interactive package with a chapter containing sample demonstrations, "[http://cran.r-project.org/web/packages/HSAUR2/vignettes/Ch_meta_analysis.pdf 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".<ref name="urlCRAN - Package HSAUR2">{{cite web |url=http://cran.r-project.org/web/packages/HSAUR2/ |title=CRAN - Package HSAUR, 2nd ed |author=Torsten Hothorn; Everitt, Brian |authorlink= |coauthors= |date= |format= |work= |publisher= |pages= |language= |archiveurl= |archivedate= |quote= |accessdate=}}</ref>
** [http://www.metafor-project.org metafor package] with [http://cran.r-project.org/web/packages/metafor/metafor.pdf manual] <ref>Viechtbauer, W. (2010). [http://www.jstatsoft.org/v36/i03/ Conducting meta-analyses in R with the metafor package]. Journal of Statistical Software, 36(3), 1-48.</ref>
*Meta-analysis of diagnostic test accuracy
*Meta-analysis of diagnostic test accuracy
** hierarchical summary ROC
** hierarchical summary ROC

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This editable Main Article is under development and subject to a disclaimer.

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

[4][5]

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/.

Diagnosis

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

Meta-analysis

Recursive partitioning

References

  1. ↑ 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. 
  2. ↑ Dalgaard, Peter. Introductory Statistics with R (Statistics and Computing). New York: Springer. ISBN 0-387-79053-5. 
  3. ↑ 3.0 3.1 3.2 Torsten Hothorn; Everitt, Brian. CRAN - Package HSAUR, 2nd ed.
  4. ↑ Noguchi K, et al. lawstat: An R package for biostatistics, public policy, and law
  5. ↑ Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
  6. ↑ Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1-48.
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