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compute.es (version 0.2.1)

Compute Effect Sizes

Description

This package contains several functions for calculating and converting various statistics, such as a t-test or p-value and sample size, to effect size estimates of d (mean difference), g (unbiased estimate of d), r (correlation coefficient), z (Fisher's z), and log odds ratio. The variance of these estimates are also computed. These calculation/conversion functions are a particularly useful resource during the preliminary stages of a meta-analytic project when deriving effect sizes from reported data. 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

1,585

Version

0.2.1

License

GPL-2

Maintainer

AC Re

Last Published

January 9th, 2012

Functions in compute.es (0.2.1)

lores

Log Odds Ratio to Standardized Mean Difference (d)
mes2

Means with Pooled SD to Effect Size
failes

Failure groups to Effect Size
compute.es-package

Compute Effect Sizes
a.mes

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

t-test Value from ANCOVA to Effect Size
mes

Means to Effect Size
pes

p-value to Effect Size
chies

Chi-Squared Statistic to Effect Size
des

Mean Difference (d) to Effect size
a.fes

ANCOVA F-statistic to Effect Size
a.mes2

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

F-test to Effect Size
propes

Proportions to Effect Size
a.pes

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

Correlation coefficient (r) to Effect Size
tes

t-test Value to Effect Size