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adplots  

Ad-Plot and Ud-Plot for Visualizing Distributional Properties and Normality
View on CRAN: Click here


Download and install adplots package within the R console
Install from CRAN:
install.packages("adplots")

Install from Github:
library("remotes")
install_github("cran/adplots")

Install by package version:
library("remotes")
install_version("adplots", "0.1.0")



Attach the package and use:
library("adplots")
Maintained by
Uditha Amarananda Wijesuriya
[Scholar Profile | Author Map]
First Published: 2025-01-30
Latest Update: 2025-01-30
Description:
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>.
How to cite:
Uditha Amarananda Wijesuriya (2025). adplots: Ad-Plot and Ud-Plot for Visualizing Distributional Properties and Normality. R package version 0.1.0, https://cran.r-project.org/web/packages/adplots. Accessed 06 Apr. 2025.
Previous versions and publish date:
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Functions, R codes and Examples using the adplots R package
Full adplots package functions and examples
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