Normality

Check normality through Shapiro-Wilks test

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

Normality function

<dl><dt>x</dt>
<dd>numerical vector</dd><dt>p</dt>
<dd>level of significance</dd></dl>

Arguments

Author

Check normality — Normality

<dl>

<dt>x</dt>
<dd>numerical vector</dd>

<dt>p</dt>
<dd>level of significance</dd>

</dl>

Normality: Check normality

Description

Usage

Value

Arguments

Author

Details

See Also

Examples