PMCMRplus:Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Extended
For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs multiple comparisons
tests (Tukey-Kramer test, Scheffe test, LSD-test) and
many-to-one tests (Dunnett test) for normally distributed
residuals and equal within variance are available. Furthermore,
all-pairs tests (Games-Howell test, Tamhane's T2 test, Dunnett
T3 test, Ury-Wiggins-Hochberg test) and many-to-one
(Tamhane-Dunnett Test) for normally distributed residuals and
heterogeneous variances are provided. Van der Waerden's normal
scores test for omnibus, all-pairs and many-to-one tests is
provided for non-normally distributed residuals and homogeneous
variances. The Kruskal-Wallis, BWS and Anderson-Darling omnibus
test and all-pairs tests (Nemenyi test, Dunn test, Conover
test, Dwass-Steele-Critchlow- Fligner test) as well as
many-to-one (Nemenyi test, Dunn test, U-test) are given for the
analysis of variance by ranks. Non-parametric trend tests
(Jonckheere test, Cuzick test, Johnson-Mehrotra test, Spearman
test) are included. In addition, a Friedman-test for one-way
ANOVA with repeated measures on ranks (CRBD) and Skillings-Mack
test for unbalanced CRBD is provided with consequent all-pairs
tests (Nemenyi test, Siegel test, Miller test, Conover test,
Exact test) and many-to-one tests (Nemenyi test, Demsar test,
Exact test). A trend can be tested with Pages's test. Durbin's
test for a two-way balanced incomplete block design (BIBD) is
given in this package as well as Gore's test for CRBD with
multiple observations per cell is given. Outlier tests,
Mandel's k- and h statistic as well as functions for Type I
error and Power analysis as well as generic summary, print and
plot methods are provided.
