esc_bin_prop {esc}  R Documentation 
Compute effect size from binary proportions
esc_bin_prop( prop1event, grp1n, prop2event, grp2n, es.type = c("logit", "d", "g", "or", "r", "f", "eta", "cox.d"), study = NULL )
prop1event 
Proportion of successes in treatment group (proportion of outcome = yes). 
grp1n 
Treatment group sample size. 
prop2event 
Proportion of successes in control group (proportion of outcome = yes). 
grp2n 
Control group sample size. 
es.type 
Type of effect size that should be returned.

study 
Optional string with the study name. Using 
The effect size es
, the standard error se
, the variance
of the effect size var
, the lower and upper confidence limits
ci.lo
and ci.hi
, the weight factor w
and the
total sample size totaln
.
If es.type = "r"
, Fisher's transformation for the effect size
r
and their confidence intervals are also returned.
Lipsey MW, Wilson DB. 2001. Practical metaanalysis. Thousand Oaks, Calif: Sage Publications
Wilson DB. 2016. Formulas Used by the "Practical MetaAnalysis Effect Size Calculator". Unpublished manuscript: George Mason University
# effect size log odds esc_bin_prop(prop1event = .375, grp1n = 80, prop2event = .47, grp2n = 85) # effect size odds ratio esc_bin_prop(prop1event = .375, grp1n = 80, prop2event = .47, grp2n = 85, es.type = "or")