Package: normality 0.0.1

Joon-Keat Lai

normality: Tests for Departure from Normality

A toolkit for assessing data normality using a comprehensive collection of statistical methods. It includes descriptive measures and formal hypothesis tests, such as skewness and kurtosis tests, the Anderson–Darling test, the Shapiro–Wilk test, and the D'Agostino–Pearson K2 omnibus test.

Authors:Joon-Keat Lai [aut, cre, cph]

normality_0.0.1.tar.gz
normality_0.0.1.tar.gz(r-4.7-any)normality_0.0.1.tar.gz(r-4.6-any)
normality_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
normality/json (API)
NEWS

# Install 'normality' in R:
install.packages('normality', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/p10911004-npust/normality/issues

Datasets:

On CRAN:

Conda:

1.70 score 4 scripts 4 exports 0 dependencies

Last updated from:39ee4fefd6. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK148
linux-release-x86_64OK95
wasm-releaseOK74

Exports:Anderson_Darling_testD.Agostino_Pearson_testkurtosisskewness

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Shapiro-Francia Normality Test.Shapiro_Francia
Anderson-Darling Normality TestAnderson_Darling_test
Cholesterol datacholesterol
D'Agostino-Pearson K2 Normality TestD.Agostino_Pearson_test
Kurtosis testkurtosis
Leghorn chicken dataleghorn_chick
Standard output formatnormality_standard_output
Skewness testskewness