sjstats: Convenient Functions for Statistical Computations in R

sjstats is a collection of R functions for common statistical computations not directly provided by base R packages. The package provides shortcuts for statistical measures like Cramer's V, Phi, and effect size statistics like Eta or Omega squared. It also focuses on weighted variants of common statistical measures and tests, such as weighted standard error, mean, t-test, and correlation.

Use Cases

• Calculate effect size statistics like Eta or Omega squared based on the described functionality.
• Compute weighted variants of common statistical measures like standard error or mean based on the package's focus.
• Perform weighted statistical tests like t-tests or correlations based on the description.
• Calculate association measures like Cramer's V or Phi for contingency tables based on the provided shortcuts.

Strengths

• Provides functions for statistical measures like Cramer's V and Phi, which the description states are not directly available in base R.
• Includes weighted variants of common statistical measures and tests, a specific focus mentioned in the description.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Daniel Lüdecke

Collection Method

Collection of functions developed as an R package.