Twidth_pval: Hypothesis test between different RT categories inside a...

View source: R/Variability_functions.R

Twidth_pvalR Documentation

Hypothesis test between different RT categories inside a sample

Description

Hypothesis test between different RT categories inside a sample

Usage

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
)

Arguments

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


CL-CHEN-Lab/User_interface_for_Kronos_scRT documentation built on Aug. 1, 2022, 2:08 p.m.