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compute.es  

Compute Effect Sizes
View on CRAN: Click here


Download and install compute.es package within the R console
Install from CRAN:
install.packages("compute.es")

Install from Github:
library("remotes")
install_github("cran/compute.es")

Install by package version:
library("remotes")
install_version("compute.es", "0.2-5")



Attach the package and use:
library("compute.es")
Maintained by
AC Del Re
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-03-23
Latest Update: 2020-04-01
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).
How to cite:
AC Del Re (2010). compute.es: Compute Effect Sizes. R package version 0.2-5, https://cran.r-project.org/web/packages/compute.es
Previous versions and publish date:
0.1 (2010-03-23 08:26), 0.2-2 (2013-10-19 19:39), 0.2-3 (2014-01-17 06:10), 0.2-4 (2014-09-16 23:35), 0.2.1 (2012-01-09 12:54), 0.2 (2010-04-02 19:07)
Other packages that cited compute.es R package
View compute.es citation profile
Other R packages that compute.es depends, imports, suggests or enhances
Functions, R codes and Examples using the compute.es R package
Some associated functions: chi_to_es . compute.es-package . d_to_es . f.ancova_to_es . f_to_es . fail_to_es . lor_to_es . mean_anc_to_es . mean_anc_to_es2 . mean_to_es . mean_to_es2 . p.ancova_to_es . p_to_es . prop_to_es . r_to_es . tt.ancova_to_es . tt_to_es . ztor . 
Some associated R codes: compute.es.R .  Full compute.es package functions and examples
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