varHedgeT: Calculate within-study variance of g based on non-central t
In NeuroStat/NeuRRoStat: A rare collection of R functions used at the NeuroStat lab (Ghent University)
Description
Usage
Arguments
Value
See Also
Description
This function calculates the variance of the one-sample standardized mean effect
size Hedges g. It is based on the derivations of Hedges (1984)
Input is the standardized effect size g and N, the study sample size.
Usage
1
varHedgeT(g, N)
Arguments
g
standardized effect size g from one sample set-up.
N
sample size
Value
The estimate of the within-study variability of Hedges g.
See Also
varHedge for the function of the variance based on
the derivations from Radua.
NeuroStat/NeuRRoStat documentation built on May 15, 2019, 1:26 p.m.
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Description Usage Arguments Value See Also
Description
This function calculates the variance of the one-sample standardized mean effect size Hedges g. It is based on the derivations of Hedges (1984) Input is the standardized effect size g and N, the study sample size.
Usage
1 | varHedgeT(g, N)
|
Arguments
g |
standardized effect size g from one sample set-up. |
N |
sample size |
Value
The estimate of the within-study variability of Hedges g.
See Also
varHedge for the function of the variance based on
the derivations from Radua.
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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