TestDimorph (version 0.4.0)

t_test: t-greene test

Description

t-greene test

Usage

t_test(
  m,
  f,
  m2,
  f2,
  M.mu,
  F.mu,
  M.mu2,
  F.mu2,
  M.sdev,
  F.sdev,
  M.sdev2,
  F.sdev2,
  padjust = padjust,
  N,
  digits,
  CI,
  alternative,
  es
)

Arguments

m

Number of male sample size in the first population, Default: NULL

f

Number of female sample size in the first population, Default: NULL

m2

Number of male sample size in the second population, Default: NULL

f2

Number of female sample size in the second population, Default: NULL

M.mu

Means for males in the first population, Default: NULL

F.mu

Means for females in the first population, Default: NULL

M.mu2

Means for males in the second population, Default: NULL

F.mu2

Means for females in the second population, Default: NULL

M.sdev

Standard deviation for males in the first population, Default: NULL

F.sdev

Standard deviation for females in the first population, Default: NULL

M.sdev2

Standard deviation for males in the second population, Default: NULL

F.sdev2

Standard deviation for females in the second population, Default: NULL

padjust

Method of p.value adjustment for multiple comparisons following p.adjust.methods Default: "none".

N

Number of pairwise comparisons for [p.adjust.methods], if left `NULL` it will follow the formula `n(n 1)/2` where `n` is the number of populations , Default: NULL

digits

Number of significant digits, Default: 4

CI

confidence interval coverage takes value from 0 to 1, Default: 0.95.

alternative

a character string specifying the alternative hypothesis, must be one of "two.sided", "greater" or "less".

es

Type of effect size either "d" for Cohen's d,"g" for Hedge's g or "none" , Default:"none".