The empirical cumulative average deviation function introduced by the author is utilized to develop both Ad- and Ud-plots. The Ad-plot can identify symmetry, skewness, and outliers of the data distribution, including anomalies. The Ud-plot created by slightly modifying Ad-plot is exceptional in assessing normality, outperforming normal QQ-plot, normal PP-plot, and their derivations. The d-value that quantifies the degree of proximity between the Ud-plot and the graph of the estimated normal density function helps guide to make decisions on confirmation of normality. Full description of this methodology can be found in the article by Wijesuriya (2025) <doi:10.1080/03610926.2024.2440583>.
| Version: | 0.1.0 |
| Imports: | ggplot2 |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-01-30 |
| DOI: | 10.32614/CRAN.package.adplots |
| Author: | Uditha Amarananda Wijesuriya [aut, cre] |
| Maintainer: | Uditha Amarananda Wijesuriya <u.wijesuriya at usi.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | adplots results |
| Reference manual: | adplots.html , adplots.pdf |
| Vignettes: |
Ad-Plot and Ud-Plot (source, R code) |
| Package source: | adplots_0.1.0.tar.gz |
| Windows binaries: | r-devel: adplots_0.1.0.zip, r-release: adplots_0.1.0.zip, r-oldrel: adplots_0.1.0.zip |
| macOS binaries: | r-release (arm64): adplots_0.1.0.tgz, r-oldrel (arm64): adplots_0.1.0.tgz, r-release (x86_64): adplots_0.1.0.tgz, r-oldrel (x86_64): adplots_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=adplots to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.