Description Usage Arguments Value Examples
SSMD is a measure of effect size, defined at the mean divided by the standard deviation of a difference between two random values each from one of the two groups.
\frac{β = μ_a - μ_b}{√{σ_a^2 + σ_b^2 - σ_{ab}}}
Beta is defined as the ratio of mean to SD of the two groups.
1 |
a |
Vector |
b |
Vector |
verbose |
if TRUE will return a description of effect size |
... |
additional arguments to be passed to mean() or var() |
SSMD and effect description if verbose is TRUE
1 2 3 |
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