backcalc is an R package designed to help researchers and students reconstruct key inferential statistics — such as standard errors, confidence intervals, test statistics, and p-values — from partial or incomplete summary data commonly found in scientific literature. Supporting various data types and designs, including single- and two-sample (independent or paired) tests with z or t distributions, it offers tailored functions for means, medians, correlations, regression coefficients, proportions, and ratio measures.
This package is not currently on CRAN, but can be installed and loaded using these R commands
if (!require(remotes)) install.packages("remotes")
remotes::install_github("cwendorf/backcalc")
library(backcalc)If you do not wish a full install, the latest functions can be made available using this R command:
source("http://raw.githubusercontent.com/cwendorf/backcalc/main/source-backcalc.R")This package includes the following documentation:
- Introduction: A quick overview and summary of the package.
- Reference: Descriptions of all exported functions, including usage, arguments, and return values.
- Articles: Examples demonstrating how to use the package.
- GitHub Issues: https://github.com/cwendorf/backcalc/issues
- Author Email: cwendorf@uwsp.edu
- Author Homepage: https://github.com/cwendorf
Wendorf, C.A. (2025). backcalc: Reconstruct missing inferential statistics [R Package]. https://github.com/cwendorf/backcalc