# ssmd: Strictly standardised mean difference (SSMD) In Swarchal/phenoDist: Distance Measurements in Phenotypic Screening

## Description

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.

## Usage

 1 ssmd(a, b, verbose = TRUE, ...) 

## Arguments

 a Vector b Vector verbose if TRUE will return a description of effect size ... additional arguments to be passed to mean() or var()

## Value

SSMD and effect description if verbose is TRUE

## Examples

 1 2 3 a <- rnorm(100, 1) b <- rnorm(100, 10) ssmd(a, b) 

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