pairwise.Eff

Pairwise table of effects with magnitudes

htest

A collection of functions for data manipulation, plotting and statistical computing,
to use separately or with the book "Visual Statistics. Use R!":
Shipunov (2020) <http://ashipunov.info/shipunov/software/r/r-en.htm>.
Dr Alexey Shipunov died in December 2022.
Most useful functions:
Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering;
Recode() which does multiple recoding in a fast, simple and flexible way;
Misclass() which outputs confusion matrix even if classes are not concerted;
Overlap() which measures group separation on any projection;
Biarrows() which converts any scatterplot into biplot;
and Pleiad() which is fast and flexible correlogram.

ORPHANED

shipunov

Miscellaneous Functions from Alexey Shipunov

pairwise.Eff function

<dl><dt>vec</dt>
<dd>Values</dd><dt>fac</dt>
<dd>Groups</dd><dt>eff</dt>
<dd>Effect, either 'K' or 'cohen.d', or 'cliff.delta'</dd><dt>dec</dt>
<dd>Decimals to round</dd><dt>mad</dt>
<dd>Use MAD-based nonparametric modification of K?</dd></dl>

Arguments

Author

Pairwise table of effects with magnitudes — pairwise.Eff

<dl>

<dt>vec</dt>
<dd>Values</dd>

<dt>fac</dt>
<dd>Groups</dd>

<dt>eff</dt>
<dd>Effect, either 'K' or 'cohen.d', or 'cliff.delta'</dd>

<dt>dec</dt>
<dd>Decimals to round</dd>

<dt>mad</dt>
<dd>Use MAD-based nonparametric modification of K?</dd>

</dl>

pairwise.Eff: Pairwise table of effects with magnitudes

Description

Usage

Value

Arguments

Author

Details

Examples