ggBA

ggBA helps you compute and visualize Bland-Altman agreement statistics with a tidy, ggplot2-friendly workflow.

It supports identity, log, and logit scales so you can analyze absolute differences, ratios, or proportion-scale agreement in a consistent API.

Website and guides

Package site: https://konstantinlang.github.io/ggBA/

Included vignettes:

1. getting_started: first analysis in a few steps
2. compare_methods: side-by-side comparisons across scales
3. grouped_analysis: stratified analysis and faceted visualization

Installation

Install the development version from GitHub:

install.packages("remotes")
remotes::install_github("KonstantinLang/ggBA")

Quick example

library(tidyr)
library(ggBA)

tbl <- temperature |>
  pivot_wider(names_from = method, values_from = temperature)

ba_stat(tbl, infrared, rectal)
ba_plot(tbl, infrared, rectal)

Development checks

For a full local CRAN-style check (including manual/PDF checks), install system tools first (pdflatex, qpdf, and optionally tidy), then run:

R CMD build .
R CMD check --as-cran ggBA_*.tar.gz

Issue tracker

Report issues at https://github.com/KonstantinLang/ggBA/issues.

References

[1]: Altman DG, Bland JM (1983). “Measurement in medicine: the analysis of method comparison studies”. The Statistician. 32 (3): 307-317. doi:10.2307/2987937. JSTOR 2987937.
[2]: Bland JM, Altman DG (1986). “Statistical methods for assessing agreement between two methods of clinical measurement” (PDF). Lancet. 327 (8476): 307-10. CiteSeerX 10.1.1.587.8931. doi:10.1016/S0140-6736(86)90837-8. PMID 2868172. S2CID 2844897