ggInterval: Visualizing Interval-Valued Data Using 'ggplot2'
Extends 'ggplot2' for visualizing interval-valued data with
scatter plots, histograms, index plots, boxplots, radar plots, PCA
displays, and correlation heatmaps. The package also converts
classical data tables into interval-valued data using clustering
algorithms or user-defined groupings.
| Version: |
0.2.5 |
| Depends: |
ggplot2, R (≥ 4.4.0), tidyverse, RSDA |
| Imports: |
rlang, R6, dplyr, tidyr, gridExtra, gtools, stringr, prodlim, ggforce, ggpubr, ggthemes, tibble, magrittr, vctrs |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, data.table, HistDAWass, MAINT.Data, TTR |
| Published: |
2026-04-28 |
| DOI: |
10.32614/CRAN.package.ggInterval |
| Author: |
Bo-Syue Jiang [aut],
Han-Ming Wu [cre] |
| Maintainer: |
Han-Ming Wu <wuhm at g.nccu.edu.tw> |
| BugReports: |
https://github.com/hanmingwu1103/ggInterval/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/hanmingwu1103/ggInterval,
https://CRAN.R-project.org/package=ggInterval |
| NeedsCompilation: |
no |
| Citation: |
ggInterval citation info |
| CRAN checks: |
ggInterval results |
Documentation:
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Reverse dependencies:
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