anova.measurement.error

Computes an analysis of variance (ANOVA) table using 
distributions of random statistics from <code>lm.rrpp</code>. 
This function is the same as <code>anova.lm.rrpp</code> but includes statistics
specific to <code>measurement.error</code>, and with restrictions on
how P-values and effect.sizes are calculated.

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

anova.measurement.error function

<dl><dt>object</dt>
<dd>Object from <code>lm.rrpp</code></dd>
<dt>...</dt>
<dd>Additional lm.rrpp model fits or other arguments passed to anova.</dd></dl>

Arguments

Author

ANOVA for lm.rrpp model fits used in measurement.error — anova.measurement.error

<dl>

<dt>object</dt>
<dd>Object from <code>lm.rrpp</code></dd>


<dt>...</dt>
<dd>Additional lm.rrpp model fits or other arguments passed to anova.</dd>

</dl>

anova.measurement.error: ANOVA for lm.rrpp model fits used in measurement.error

Description

Usage

Arguments

Author

Examples