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:
Bulus, M. (2022). pwrss: Power and Sample Size Calculation Tools. R package version 0.2.0. https://CRAN.R-project.org/package=pwrss
Bulus, M., & Polat, C. (2022, December 12). pwrss R Paketi ile Istatistiksel Guc Analizine Giris [Introduction to Statistical Power Analysis with pwrss R Package]. https://doi.org/10.35542/osf.io/tfyxq