Effect Size Computation for Meta Analysis
Combine one or more 'esc' objects into a data frame
Convert effect size d into Eta Squared
Convert effect size d into f
Convert effect size d into log odds
Convert effect size d into OR
Convert effect size d into correlation
Convert effect size OR from d
Convert correlation coefficient r into Fisher's z
Convert Fisher's z into correlation coefficient r
Generate effect size data frame from other data
Effect Size Computation for Meta Analysis
Compute effect size from 2 by 2 Contingency Table
Compute effect size from Unstandardized Regression Coefficient
Compute effect size from Standardized Regression Coefficient
Compute effect size from binary proportions
Compute effect size from Chi-Square coefficient
Compute effect size from One-way Anova
Compute effect size from Mean Gain Scores and Standard Deviations
Compute effect size from Mean and Standard Deviation
Compute effect size from Mean and Standard Error
Compute effect size from Phi coefficient
Compute effect size from Point-Biserial Correlation
Compute effect size from Student's t-test
Convert effect sizes
Write one or more 'esc' objects into an Excel csv-file
Implementation of the web-based 'Practical Meta-Analysis Effect Size Calculator' from David B. Wilson (<http://www.campbellcollaboration.org/escalc/html/EffectSizeCalculator-Home.php>) in R. Based on the input, the effect size can be returned as standardized mean difference, Cohen's f, Hedges' g, Pearson's r or Fisher's transformation z, odds ratio or log odds, or eta squared effect size.