pi.r: Correlation prediction interval
In dstanley4/predictionInterval: Prediction Interval Functions for Assessing Replication Study Results
Description
Usage
Arguments
Value
Examples
Description
Correlation prediction interval
Usage
1
Arguments
r
Original study: Correlation
n
Original study: Sample size
rep.n
(optional) Replication study: Sample size. If not specified, n 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.
Examples
1
pi.r(r=.35,n=100,rep.n=200)
dstanley4/predictionInterval documentation built on May 15, 2019, 4:23 p.m.
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Description Usage Arguments Value Examples
Description
Correlation prediction interval
Usage
1 |
Arguments
r |
Original study: Correlation |
n |
Original study: Sample size |
rep.n |
(optional) Replication study: Sample size. If not specified, n 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.
Examples
1 | pi.r(r=.35,n=100,rep.n=200)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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