wvsR is an estimation-focused toolkit for cross-cultural comparison
using the EVS/WVS Joint Dataset. In addition to building cultural scores directly
from survey items, the package prioritizes uncertainty-aware inference:
- Country profiles with confidence intervals
- Between-country comparisons with mean differences and Cohen's d
- Cultural-neighbor search and clustering
- Two-dimensional cultural maps (original dimensions, PCA, or MDS)
This package is not currently on CRAN. Install from GitHub:
if (!requireNamespace("remotes", quietly = TRUE)) install.packages("remotes")
remotes::install_github("cwendorf/wvsR")
library(wvsR)If you do not want a full install, source the latest function bundle directly:
source("https://raw.githubusercontent.com/cwendorf/wvsR/main/source-wvsR.R")This package includes the following documentation:
- Introduction: A quick overview and summary of the package.
- Reference: Documentation for all exported functions, including usage, arguments, return values, and examples.
- Articles: Examples demonstrating how to use the functions to explore the data.
- GitHub Issues: https://github.com/cwendorf/wvsR/issues
- Author Email: cwendorf@uwsp.edu
- Author Homepage: https://github.com/cwendorf
Wendorf, C.A. (2026). wvsR: Cross-cultural comparisons using WVS data [R Package]. https://github.com/cwendorf/wvsR