t_test: t-greene test

In bassam-abulnoor/TestDimorph: Analysis Of The Interpopulation Difference In Degree of Sexual Dimorphism Using Summary Statistics

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".

bassam-abulnoor/TestDimorph documentation built on Jan. 29, 2021, 8:21 a.m.