shapiro_normality_test

Performs Shapiro-Wilk for sample sizes between 3 and 5000 (inclusive),
otherwise uses Anderson–Darling. Returns "Normal" if p &gt; 0.05, else "Not Normal".

Summarizes data frames by calculating various statistics including central tendency, dispersion, shape, and normality diagnostics. Handles numeric, character, and factor columns with NA-aware computations.

Uzair Javid Khan

DataSum

Comprehensive Data Summarization for Statistical Analysis

Immad Ahmad Shah

Sukhdev Mishra

shapiro_normality_test function

<dl><dt>data</dt>
<dd>A numeric vector.</dd></dl>

Arguments

Shapiro/Anderson-Darling Normality Decision — shapiro_normality_test

<dl>

<dt>data</dt>
<dd>A numeric vector.</dd>

</dl>

shapiro_normality_test: Shapiro/Anderson-Darling Normality Decision

Description

Usage

Value

Arguments

Examples