/pwrss

Primary LanguageR

Power and Sample Size Calculation Tools

To install and load pwrss:

install.packages("pwrss")

library(pwrss)

pwrss R package allows statistical power and minimum required sample size calculations for

  • (1) testing a proportion (one-sample) against a constant,
  • (2) testing a mean (one-sample) against a constant,
  • (3) testing difference between two proportions (independent samples),
  • (4) testing difference between two means (independent and paired samples),
  • (5) testing a correlation (one-sample) against a constant,
  • (6) testing difference between two correlations (independent samples),
  • (7) testing a coefficient (standardized or unstandardized) against a constant in multiple linear regression,
  • (8) testing an indirect effect (standardized or unstandardized) in the mediation analysis (Sobel, Joint, and Monte Carlo),
  • (9) testing an R-squared against zero in linear regression
  • (10) testing an R-squared difference against zero in hierarchical regression
  • (11) testing an eta-squared or f-squared (for main and interaction effects) against zero in analysis of variance (ANOVA) (could be one-way, two-way, and three-way),
  • (12) testing an eta-squared or f-squared (for main and interaction effects) against zero in analysis of covariance (ANCOVA) (could be one-way, two-way, and three-way),
  • (13) testing an eta-squared or f-squared (for between, within, and interaction effects) against zero in one-way repeated measures analysis of variance (RM-ANOVA) (with non-sphericity correction and repeated measures correlation).

Alternative hypothesis can be formulated as "not equal", "less", "greater", "non-inferior", "superior", or "equivalent" in (1), (2), (3), and (4); as "not equal", "less", or "greater" in (5), (6), (7) and (8); but always as "greater" in (9), (10), (11), (12), and (13).

If you find the package and related material useful, along with other references, please cite as: