Provides an extension to 'ggplot2' (Wickham, 2016, <doi:10.1007/978-3-319-24277-4>) for creating two types of continuous confidence interval plots (Violin CI and Gradient CI plots), typically for the sample mean. These plots contain multiple user-defined confidence areas with varying colours, defined by the underlying t-distribution used to compute standard confidence intervals for the mean of the normal distribution when the variance is unknown. Two types of plots are available, a gradient plot with rectangular areas, and a violin plot where the shape (horizontal width) is defined by the probability density function of the t-distribution. These visualizations are studied in (Helske, Helske, Cooper, Ynnerman, and Besancon, 2021) <doi:10.1109/TVCG.2021.3073466>.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | dplyr, ggplot2, stats |
| Suggests: | scales |
| Published: | 2025-04-09 |
| DOI: | 10.32614/CRAN.package.ggstudent |
| Author: | Jouni Helske |
| Maintainer: | Jouni Helske <jouni.helske at iki.fi> |
| BugReports: | https://github.com/helske/ggstudent/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/helske/ggstudent |
| NeedsCompilation: | no |
| Citation: | ggstudent citation info |
| Materials: | README |
| CRAN checks: | ggstudent results |
| Reference manual: | ggstudent.html , ggstudent.pdf |
| Package source: | ggstudent_0.1.2.tar.gz |
| Windows binaries: | r-devel: ggstudent_0.1.2.zip, r-release: ggstudent_0.1.2.zip, r-oldrel: ggstudent_0.1.2.zip |
| macOS binaries: | r-release (arm64): ggstudent_0.1.2.tgz, r-oldrel (arm64): ggstudent_0.1.2.tgz, r-release (x86_64): ggstudent_0.1.2.tgz, r-oldrel (x86_64): ggstudent_0.1.2.tgz |
| Old sources: | ggstudent archive |
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