| pi.d {predictionInterval} | R Documentation |
d-value (i.e., standardized mean difference) Prediction Interval
Description
d-value (i.e., standardized mean difference) Prediction Interval
Usage
pi.d(d, n1, n2, rep.n1 = NA, rep.n2 = NA, prob.level = 0.95)
Arguments
d |
Original study: Sample d-value (standardized mean difference) created with pooled variance denominator. See formulas 4.18 and 4.19 (p.26) in Borenstein, Hedges, Higgins, & Rothstein (2009). |
n1 |
Original study: Sample size for group 1 |
n2 |
Original study: Sample size for group 2 |
rep.n1 |
(optional) Replication study: Sample size for group 1. If not specified, n1 is used. |
rep.n2 |
(optional) Replication study: Sample size for group 2. If not specified, n2 is used. |
prob.level |
(optional 0 to 1 value) Probability level desired (0 to 1). If not specified .95 (i.e., 95 percent) will be used. |
Value
The prediction interval and related statistics in list format.
References
Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to meta-analysis. John Wiley & Sons.
Cumming, G., & Finch, S. (2001). A primer on the understanding, use, and calculation of confidence intervals that are based on central and noncentral distributions. Educational and Psychological Measurement, 61(4), 532-574.
Examples
pi.d(d=.65,n1=50,n2=50,rep.n1=100,rep.n2=100)