p_to_es: p-value to Effect Size
Description
One or two tailed p-value to an effect size of d (mean difference), g (unbiased estimate of d), r (correlation coefficient), z (Fisher's z), and log odds ratio. The variances of these estimates are also computed.Usage
p_to_es(p, n.1, n.2, tail = "two")
Arguments
n.1
Sample size of treatment group.
n.2
Sample size of comparison group.
tail
One or two-tailed p-value. Default is two.
Value
- dStandardized mean difference (d).
- var.dVariance of d.
- gUnbiased estimate of d.
- var.gVariance of g.
- rCorrelation coefficient.
- var.rVariance of r.
- log_oddsLog odds ratio.
- var.log_oddsVariance of log odds ratio.
- nTotal sample size.
References
Borenstein (2009). Effect sizes for continuous data. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta analysis (pp. 279-293). New York: Russell Sage Foundation.