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compute.es (version 0.2-5)

Compute Effect Sizes

Description

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).

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Version

Install

install.packages('compute.es')

Monthly Downloads

1,416

Version

0.2-5

License

GPL-2

Maintainer

AC Re

Last Published

April 1st, 2020

Functions in compute.es (0.2-5)

compute.es-package

Compute Effect Sizes in R
pes

p-value to Effect Size
ztor

Internal anRpackage objects
propes

Proportions to Effect Size
a.pes

One or Two-tailed p-value from ANCOVA to Effect Size
mes2

Means with Pooled SD to Effect Size
a.tes

t-test Value from ANCOVA to Effect Size
res

Correlation coefficient (r) to Effect Size
mes

Means to Effect Size
tes

t-test Value to Effect Size
failes

Failure groups to Effect Size
chies

Chi-Squared Statistic to Effect Size
a.fes

ANCOVA F-statistic to Effect Size
des

Mean Difference (d) to Effect size
fes

F-test to Effect Size
lores

Log Odds Ratio to Effect Size
a.mes

Mean Values from ANCOVA F-statistic to Effect Size
a.mes2

Mean Values from ANCOVA F-statistic with Pooled SD to Effect Size