PMCMR-package: Calculate pairwise multiple comparisons between mean rank...

Description Details Author(s) References See Also

Description

Note, that the 'PMCMR' package is superseded by the novel 'PMCMRplus' package. The 'PMCMRplus' package contains all functions from 'PMCMR' and many more parametric and non-parametric multiple comparison procedures, one-factorial trend tests, as well as improved method functions, such as print, summary and plot. The 'PMCMR' package is no longer maintained, but kept for compatibility of reverse depending packages for some time.

Details

Package: PMCMR
Type: Package
Version: 4.3
Date: 2018-05-19
License: >= GPL-3

See the vignette for details.

Author(s)

Thorsten Pohlert Maintainer: <[email protected]>

References

W. J. Conover and R. L. Iman (1979), On multiple-comparisons procedures, Tech. Rep. LA-7677-MS, Los Alamos Scientific Laboratory.

W. J. Conover (1999), Practical nonparametric Statistics, 3rd. Edition, Wiley.

Janez Demsar (2006), Statistical comparisons of classifiers over multiple data sets, Journal of Machine Learning Research, 7, 1-30.

O.J. Dunn (1964). Multiple comparisons using rank sums. Technometrics, 6, 241-252.

S. A. Glantz (2012), Primer of Biostatistics, 7th edition. New York: McGraw Hill.

N. A. Heckert and J. J. Filliben (2003). NIST Handbook 148: Dataplot Reference Manual, Volume 2: Let Subcommands and Library Functions. National Institute of Standards and Technology Handbook Series, June 2003.

A. R. Jonckheere (1954). A distribution-free k-sample test against ordered alternatives. Biometrica, 41, 133-145.

P. Nemenyi (1963) Distribution-free Multiple Comparisons. Ph.D. thesis, Princeton University.

D. Quade (1979), Using weighted rankings in the analysis of complete blocks with additive block effects. Journal of the American Statistical Association, 74, 680-683.

Lothar Sachs (1997), Angewandte Statistik. Berlin: Springer. Pages: 668-675.

See Also

posthoc.kruskal.nemenyi.test, posthoc.kruskal.dunn.test, posthoc.kruskal.conover.test, posthoc.friedman.nemenyi.test, posthoc.friedman.conover.test, posthoc.quade.test, dunn.test.control, jonckheere.test, durbin.test, posthoc.durbin.test, kruskal.test, friedman.test, Tukey, TDist, Chisquare, Normal, p.adjust, print.PMCMR, summary.PMCMR, get.pvalues, multcompLetters


PMCMR documentation built on May 19, 2018, 5:04 p.m.