Introduction | Ad-Plot | Example 1 | Example 2 | Example 3 | Ud-Plot | Example 4 | Example 5 | Example 6 | Reference
Package: adplots 0.1.0
Uditha Amarananda Wijesuriya
adplots: Ad-Plot and Ud-Plot for Visualizing Distributional Properties and Normality
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>.
Authors:
adplots_0.1.0.tar.gz
adplots_0.1.0.tar.gz(r-4.7-any)adplots_0.1.0.tar.gz(r-4.6-any)
adplots_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
adplots/json (API)
| # Install 'adplots' in R: |
| install.packages('adplots', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:16995945ec. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 136 | ||
| source / vignettes | OK | 165 | ||
| linux-release-x86_64 | OK | 130 | ||
| wasm-release | OK | 115 |
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
