Effect Size Computation for Meta Analysis

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Documentation for package ‘esc’ version 0.5.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

esc-package	Effect Size Computation for Meta Analysis
cohens_d	Convert effect sizes
cohens_f	Convert effect sizes
combine_esc	Combine one or more 'esc' objects into a data frame
convert_d2etasq	Convert effect size d into Eta Squared
convert_d2f	Convert effect size d into f
convert_d2logit	Convert effect size d into log odds
convert_d2or	Convert effect size d into OR
convert_d2r	Convert effect size d into correlation
convert_or2d	Convert effect size OR from d
convert_r2z	Convert correlation coefficient r into Fisher's z
convert_z2r	Convert Fisher's z into correlation coefficient r
effect_sizes	Generate effect size data frame from other data
esc	Effect Size Computation for Meta Analysis
esc_2x2	Compute effect size from 2 by 2 Contingency Table
esc_B	Compute effect size from Unstandardized Regression Coefficient
esc_beta	Compute effect size from Standardized Regression Coefficient
esc_bin_prop	Compute effect size from binary proportions
esc_chisq	Compute effect size from Chi-Square coefficient
esc_f	Compute effect size from One-way Anova
esc_mean_gain	Compute effect size from Mean Gain Scores and Standard Deviations
esc_mean_sd	Compute effect size from Mean and Standard Deviation
esc_mean_se	Compute effect size from Mean and Standard Error
esc_phi	Compute effect size from Phi coefficient
esc_rpb	Compute effect size from Point-Biserial Correlation
esc_t	Compute effect size from Student's t-test
eta_squared	Convert effect sizes
hedges_g	Convert effect sizes
log_odds	Convert effect sizes
odds_ratio	Convert effect sizes
pearsons_r	Convert effect sizes
write_esc	Write one or more 'esc' objects into an Excel csv-file