README.md

In setgree/ResultsStandardizeR: Some functions that Seth Green & John-Henry Pezzuto wrote to assist with a forthcoming meta-analysis

PrejMetaFunctions

05/15/20

I'm returning to this with a few aims: package everything generalizeable that John-Henry and I have written as a 'finished product'; I want to write something about the problem of estimating Cohen's D when you have regression or t-test type results, and some variance has been explained by non-treatment regressors; * refresh myself on 'building a package' tech (Roxygen and such) -- https://r-pkgs.org/intro.html is the right way to go TODO: make dataset for replicable results for the vignette, and figure out why SE does not = SD * sqrt(N_)

08/09/2017 udpate:

A package turned out to be overkill for what we needed for the 2018 paper. You can check out all of our code and data in fully executable form on Code Ocean: https://codeocean.com/2017/05/24/contact-hypothesis-revisited/code

This package converts various types of effect sizes into estimates of Cohen’s d, variance, and standard error. All equations are taken from Cooper, Valentine, and Hedges (2009). Currently, ResultsStandardizeR works with 1) difference in means, 2) difference in differences, 3) t-tests, 4) F-tests, 5) regression coefficients, and 6) standardized regression coefficients.

setgree/ResultsStandardizeR documentation built on June 2, 2020, 11:48 a.m.