t-greene test
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,
sig.level,
alternative,
es
)
Number of male sample size in the first population, Default: NULL
Number of female sample size in the first population, Default: NULL
Number of male sample size in the second population, Default: NULL
Number of female sample size in the second population, Default: NULL
Means for males in the first population, Default: NULL
Means for females in the first population, Default: NULL
Means for males in the second population, Default: NULL
Means for females in the second population, Default: NULL
Standard deviation for males in the first population, Default: NULL
Standard deviation for females in the first population, Default: NULL
Standard deviation for males in the second population, Default: NULL
Standard deviation for females in the second population, Default: NULL
Method of p.value adjustment for multiple comparisons following p.adjust.methods
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
Number of significant digits, Default: 4
Critical p.value, Default: 0.05
a character string specifying the alternative hypothesis, must be one of "two.sided", "greater" or "less".
Logical; if TRUE effect size is included in the output , Default: FALSE