friedman {CMHNPA} | R Documentation |
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
|
blocks |
a vector giving the block for the corresponding elements of
|
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 |
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)