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compute.es (version 0.1)

Compute Effect Sizes

Description

This package contains several functions that will convert a variety of statistics, such as a t-test or p-value and sample size, to effect sizes of d (mean difference), g (unbiased estimate of d), r (correlation coefficient), z (Fisher's z), and log odds ratio. The variances of these estimates are also computed. These conversion functions are a particularly useful resource during the preliminary stages of a meta-analytic project, when coding for relevant effect size data (and the appropriate statistic is not reported). This package uses recommended coversion 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

3,224

Version

0.1

License

GPL-2

Maintainer

AC Re

Last Published

March 23rd, 2010

Functions in compute.es (0.1)

p_to_es

p-value to Effect Size
prop_to_es

Proportion to Effect Size
d_to_es

Mean Difference (d) to Effect size
mean_to_es2

Means with Pooled SD to Effect Size
tt_to_es

t-test Value to Effect Size
fail_to_es

Failure groups to Effect Size
tt.ancova_to_es

t-test Value from ANCOVA to Effect Size
r_to_es

Correlation coefficient (r) to Effect Size
mean_anc_to_es2

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

Log Odds Ratio to Standardized Mean Difference (d)
mean_to_es

Means to Effect Size
f_to_es

F-test to Effect Size
f.ancova_to_es

ANCOVA F-statistic to Effect Size
chi_to_es

Chi-Squared Statistic to Effect Size
compute.es-package

Compute Effect Sizes
mean_anc_to_es

Mean Values from ANCOVA F-statistic to Effect Size
p.ancova_to_es

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