compute_troendle: The Troendle's correction
In permuco: Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals
compute_troendle R Documentation
The Troendle's correction
Description
Compute the Troendle's correction given a matrix a permuted statistics.
Usage
compute_troendle(distribution, alternative)
Arguments
distribution
A matrix of permuted statistical signal. The first row indicating the observed statistics.
alternative
A character string indicating the alternative hypothesis. Default is "greater". Choose between "greater", "less" or "two.sided".
See Also
Other multcomp:
compute_clusterdepth_head(),
compute_clusterdepth(),
compute_clustermass(),
compute_maxT(),
compute_minP(),
compute_stepdownmaxT(),
compute_tfce()
permuco documentation built on June 30, 2022, 9:05 a.m.
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| compute_troendle | R Documentation |
The Troendle's correction
Description
Compute the Troendle's correction given a matrix a permuted statistics.
Usage
compute_troendle(distribution, alternative)
Arguments
distribution |
A matrix of permuted statistical signal. The first row indicating the observed statistics. |
alternative |
A character string indicating the alternative hypothesis. Default is |
See Also
Other multcomp:
compute_clusterdepth_head(),
compute_clusterdepth(),
compute_clustermass(),
compute_maxT(),
compute_minP(),
compute_stepdownmaxT(),
compute_tfce()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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