effect.size

A function to find the effect size (Z-score) of a target,
from a vector of values presumably obtained in random permutations.

utilities

Linear model calculations are made for many random versions of data.
Using residual randomization in a permutation procedure, sums of squares are
calculated over many permutations to generate empirical probability distributions
for evaluating model effects.  This packaged is described by
Collyer & Adams (2018).  Additionally, coefficients, statistics, fitted values, and residuals generated over many
permutations can be used for various procedures including pairwise tests, prediction, classification, and
model comparison.  This package should provide most tools one could need for the analysis of
high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.

Michael Collyer

RRPP

Linear Model Evaluation with Randomized Residuals in a
Permutation Procedure

Dean Adams

effect.size function

<dl><dt>x</dt>
<dd>The vector of data to use.</dd>
<dt>center</dt>
<dd>Logical value for whether to center x.</dd>
<dt>target</dt>
<dd>The value to target in the distribution. (If null, the first value
in the vector is used.). If the target exists outside the range of x,
very small or very large z-scores are possible. Additionally, if the target
is excessively outside of the range of x, it could affect the Box-Cox transformation 
used to transform x.</dd></dl>

Arguments

Author

Obtain Effect-size from a vector of values — effect.size

<dl>

<dt>x</dt>
<dd>The vector of data to use.</dd>


<dt>center</dt>
<dd>Logical value for whether to center x.</dd>


<dt>target</dt>
<dd>The value to target in the distribution. (If null, the first value
in the vector is used.). If the target exists outside the range of x,
very small or very large z-scores are possible. Additionally, if the target
is excessively outside of the range of x, it could affect the Box-Cox transformation 
used to transform x.</dd>

</dl>

effect.size: Obtain Effect-size from a vector of values

Description

Usage

Arguments

Author