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 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".