friedman: Friedman Test

In CMHNPA: Cochran-Mantel-Haenszel and Nonparametric ANOVA

Friedman Test

Description

friedman returns the test statistic and p-value for the Friedman test.

Usage

friedman(
  y,
  groups,
  blocks,
  n_components = 0,
  n_permutations = 0,
  group_scores = NULL,
  sig_digits = 4,
  verbose = FALSE
)

Arguments

y	a numeric vector for the response variable.
groups	a vector giving the group for the corresponding elements of y.
blocks	a vector giving the block for the corresponding elements of y.
n_components	the number of polynomial components you wish to test. The maximum number of components is the number of groups less one. If the number of components requested is less than t-2, a remainder component is created.
n_permutations	the number of permutations you wish to run.
group_scores	the scores to be applied to the groups. If not declared these will be set automatically and should be checked.
sig_digits	the number of significant digits the output should show.
verbose	flag for turning on the status bar for permutation tests.

Value

The Friedman test results statistic adjusted for ties together with the associated p-value.

References

Rayner, J.C.W and Livingston, G. C. (2022). An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA. Wiley.

Examples

attach(jam)
friedman(y = sweetness_ranks, groups = type, blocks = judge)

CMHNPA documentation built on Feb. 16, 2023, 7:20 p.m.