blst_quantiles: Compute quantiles of random effect variances
In dalejbarr/autocorr: Autocorrelation toolkit for multilevel data
Description
Usage
Arguments
Value
See Also
Examples
Description
Compute quantiles of the random effect variances for the studies
examined by Barr, Levy, Scheepers, and Tily (2013).
Usage
1
blst_quantiles(q1 = 0.2, q2 = 0.8)
Arguments
q1
Lower quantile.
q2
Upper quantile.
Value
A matrix with the quantiles.
See Also
Examples
1
2
3
blst_quantiles(.1, .9) # 10% and 90% cutoffs
blst_quantiles() # 20% and 80% cutoffs
dalejbarr/autocorr documentation built on March 27, 2021, 3:03 a.m.
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Description Usage Arguments Value See Also Examples
Description
Compute quantiles of the random effect variances for the studies examined by Barr, Levy, Scheepers, and Tily (2013).
Usage
1 | blst_quantiles(q1 = 0.2, q2 = 0.8)
|
Arguments
q1 |
Lower quantile. |
q2 |
Upper quantile. |
Value
A matrix with the quantiles.
See Also
Examples
1 2 3 | blst_quantiles(.1, .9) # 10% and 90% cutoffs
blst_quantiles() # 20% and 80% cutoffs
|
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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