View source: R/Variability_functions.R
| Twidth_pval | R Documentation |
Hypothesis test between different RT categories inside a sample
Twidth_pval(
variability,
twidth,
pairs_to_test = NULL,
adjust.methods = c("none", "holm", "hochberg", "hommel", "bonferroni", "BH", "BY",
"fdr"),
alternative = c("two.sided", "greater", "lower"),
nIterations = 10^4,
ncores = 3
)
variability, |
dataframe created by Kronos |
twidth, |
dataframe created by Twidth |
pairs_to_test, |
a dataframe containing the columns Category1, Category2 to test |
adjust.methods, |
correction method. Can be abbreviated. by default it is set as none |
alternative, |
Hypothesis test. If pairs_to_test is null it is always two.sided |
nIterations, |
number of iterations |
ncores, |
number of cores for parallelization |
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