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 |

Swarchal/phenoDist documentation built on May 10, 2017, 3:36 p.m.

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