Continuous Confidence Interval Plots using t-Distribution R package ggstudent version 0.1.2 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>. Software Depends: R (>= 3.1.0) Imports: dplyr, ggplot2, stats Suggests: scales Jouni Helske <jouni.helske@iki.fi> Comprehensive R Archive Network (CRAN) Jouni Helske [aut, cre] (ORCID: <https://orcid.org/0000-0001-7130-793X>) GPL (>= 2) 2025-04-09 application/tgz https://CRAN.R-project.org/package=ggstudent doi:10.32614/CRAN.package.ggstudent