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ggstudent  

Continuous Confidence Interval Plots using t-Distribution
View on CRAN: Click here


Download and install ggstudent package within the R console
Install from CRAN:
install.packages("ggstudent")

Install from Github:
library("remotes")
install_github("cran/ggstudent")

Install by package version:
library("remotes")
install_version("ggstudent", "0.1.1-1")



Attach the package and use:
library("ggstudent")
Maintained by
Jouni Helske
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-11
Latest Update: 2020-05-11
Description:
Provides an extension to 'ggplot2' (Wickham, 2016, ) 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.
How to cite:
Jouni Helske (2020). ggstudent: Continuous Confidence Interval Plots using t-Distribution. R package version 0.1.1-1, https://cran.r-project.org/web/packages/ggstudent
Previous versions and publish date:
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Functions, R codes and Examples using the ggstudent R package
Some associated functions: GeomStudent . StatStudent . geom_student . 
Some associated R codes: statStudent.R .  Full ggstudent package functions and examples
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