Compute Effect Sizes
Chi-Squared Statistic to Effect Size
Compute Effect Sizes in R
Mean Difference (d) to Effect size
ANCOVA F-statistic to Effect Size
F-test to Effect Size
Failure groups to Effect Size
Log Odds Ratio to Effect Size
Mean Values from ANCOVA F-statistic to Effect Size
Mean Values from ANCOVA F-statistic with Pooled SD to Effect Size
Means to Effect Size
Means with Pooled SD to Effect Size
One or Two-tailed p-value from ANCOVA to Effect Size
p-value to Effect Size
Proportions to Effect Size
Correlation coefficient (r) to Effect Size
t-test Value from ANCOVA to Effect Size
t-test Value to Effect Size
Internal anRpackage objects
Several functions are available for calculating the most widely used effect sizes (ES), along with their variances, confidence intervals and p-values. The output includes ES's of d (mean difference), g (unbiased estimate of d), r (correlation coefficient), z' (Fisher's z), and OR (odds ratio and log odds ratio). In addition, NNT (number needed to treat), U3, CLES (Common Language Effect Size) and Cliff's Delta are computed. This package uses recommended formulas as described in The Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine, 2009).