esc_rpb {esc} | R Documentation |
Compute effect size from Point-Biserial Correlation.
esc_rpb( r, p, totaln, grp1n, grp2n, es.type = c("d", "g", "or", "logit", "f", "eta", "cox.or", "cox.log"), study = NULL )
r |
The point-biserial r-value. One of |
p |
The p-value of the point-biserial correlation. One of |
totaln |
Total sample size. Either |
grp1n |
Treatment group sample size. |
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
.
Lipsey MW, Wilson DB. 2001. Practical meta-analysis. Thousand Oaks, Calif: Sage Publications
Wilson DB. 2016. Formulas Used by the "Practical Meta-Analysis Effect Size Calculator". Unpublished manuscript: George Mason University
# unequal sample size esc_rpb(r = .3, grp1n = 100, grp2n = 150) # equal sample size esc_rpb(r = .3, totaln = 200) # unequal sample size, with p-value esc_rpb(p = 0.03, grp1n = 100, grp2n = 150) # equal sample size, with p-value esc_rpb(p = 0.03, totaln = 200)