knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-" )
The qqboxplot package implements q-q boxplots as an extension to ggplot2.
Install through CRAN with:
install.packages("qqboxplot")
The most recent version of qqboxplot can be installed from GitHub with:
# install.packages("devtools") devtools::install_github("jrodu/qqboxplot")
This is a basic example using simulated data from the qqboxplot package:
library(dplyr) library(ggplot2) library(qqboxplot) simulated_data %>% ggplot(aes(factor(group, levels=c("normal, mean=2", "t distribution, df=32", "t distribution, df=16", "t distribution, df=8", "t distribution, df=4")), y=y)) + geom_qqboxplot(notch=TRUE, varwidth = TRUE, reference_dist="norm") + xlab("reference: normal distribution") + ylab(NULL) + guides(color=FALSE) + theme(axis.text.x = element_text(angle = 23, size = 15), axis.title.y = element_text(size=15), axis.title.x = element_text(size=15), panel.border = element_blank(), panel.background = element_rect(fill="white"), panel.grid = element_line(colour = "grey70"))
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