Package: ggstudent 0.1.1-1
ggstudent: Continuous Confidence Interval Plots using t-Distribution
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.
Authors:
ggstudent_0.1.1-1.tar.gz
ggstudent_0.1.1-1.zip(r-4.7)ggstudent_0.1.1-1.zip(r-4.6)ggstudent_0.1.1-1.zip(r-4.5)
ggstudent_0.1.1-1.tgz(r-4.6-any)ggstudent_0.1.1-1.tgz(r-4.5-any)
ggstudent_0.1.1-1.tar.gz(r-4.7-any)ggstudent_0.1.1-1.tar.gz(r-4.6-any)
ggstudent_0.1.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ggstudent/json (API)
| # Install 'ggstudent' in R: |
| install.packages('ggstudent', repos = c('https://helske.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/helske/ggstudent/issues
Last updated from:cb07e69f56. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 116 | ||
| source / vignettes | OK | 157 | ||
| linux-release-x86_64 | NOTE | 101 | ||
| macos-release-arm64 | NOTE | 98 | ||
| macos-oldrel-arm64 | NOTE | 108 | ||
| windows-devel | NOTE | 83 | ||
| windows-release | NOTE | 73 | ||
| windows-oldrel | NOTE | 70 | ||
| wasm-release | OK | 89 |
Exports:geom_studentGeomStudentStatStudent
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Student CI plot | geom_student |
