esc_mean_se {esc}  R Documentation 
Compute effect size from Mean and Standard Error.
esc_mean_se( grp1m, grp1se, grp1n, grp2m, grp2se, grp2n, r, es.type = c("d", "g", "or", "logit", "r", "f", "eta", "cox.or", "cox.log"), study = NULL )
grp1m 
The mean of the first group. 
grp1se 
The standard error of the first group. 
grp1n 
The sample size of the first group. 
grp2m 
The mean of the second group. 
grp2se 
The standard error of the second group. 
grp2n 
The sample size of the second group. 
r 
Correlation for withinsubject designs (paired samples, repeated measures). 
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 Unpublished manuscript: George Mason University
esc_mean_se(grp1m = 7, grp1se = 1.5, grp1n = 50, grp2m = 9, grp2se = 1.8, grp2n = 60, es.type = "or")