In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

knitr::opts_chunk$set(comment = "#>", collapse = TRUE)

jjstatsplot provides easy wrappers around functions from the ggstatsplot package. These wrappers are primarily used by the jamovi interface but can also be called directly from R. The package includes functions for creating bar charts, box--violin plots, scatter plots, histograms, and more while reporting relevant statistical tests automatically.

The main functions exported are:

• jjbarstats() -- bar charts for categorical variables
• jjbetweenstats() -- compare continuous variables between groups
• jjcorrmat() -- correlation matrix visualisations
• jjdotplotstats() -- dot charts with summary statistics
• jjhistostats() -- histograms with statistical annotations
• jjpiestats() -- pie charts for categorical data
• jjscatterstats() -- scatter plots with regression details
• jjwithinstats() -- paired comparisons of repeated measures

All functions return a jamovi results object, but the primary component of interest is usually the generated ggplot2 object stored in the plot element. In this vignette we give a quick overview of how to call the wrappers from R.

We will use the built-in mtcars data set for the examples below.

library(jjstatsplot)
data(mtcars)
head(mtcars)

The following sections demonstrate some of the available plots.

sbalci/ClinicoPathJamoviModule documentation built on June 13, 2025, 9:34 a.m.