Coeff.det

Average coefficients of determination for each variable

correlation

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

Coeff.det function

<dl>
<dt>X</dt>
<dd>Data frame or matrix with values</dd>
<dt>...</dt>
<dd>Arguments to 'cor()'</dd>
</dl>

Arguments

Author

Average coefficients of determination for each variable — Coeff.det

<dl>


<dt>X</dt>
<dd>Data frame or matrix with values</dd>


<dt>...</dt>
<dd>Arguments to 'cor()'</dd>


</dl>

Coeff.det: Average coefficients of determination for each variable

Description

Usage

Value

Arguments

Author

Details

References

Examples