discr.discr: Discrmininability
In ebridge2/Discriminability: Discriminability
Description
Usage
Arguments
Value
Author(s)
Description
A function for computing the discriminability.
Usage
1
discr.discr(rdf, remove_outliers = TRUE, thresh = 0, output = FALSE)
Arguments
rdf
[n]: the reliability density function.
remove_outliers=TRUE
boolean indicating whether to ignore subjects with rdf below a certain cutoff.
thresh=0
[1]: the threshold below which to ignore subjects.
output=FALSE
a boolean indicating whether to ignore output.
Value
discr [1]: the discriminability statistic.
Author(s)
Eric Bridgeford and Gregory Kiar
ebridge2/Discriminability documentation built on May 15, 2019, 7:48 p.m.
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Description Usage Arguments Value Author(s)
Description
A function for computing the discriminability.
Usage
1 | discr.discr(rdf, remove_outliers = TRUE, thresh = 0, output = FALSE)
|
Arguments
rdf |
[n]: the reliability density function. |
remove_outliers=TRUE |
boolean indicating whether to ignore subjects with rdf below a certain cutoff. |
thresh=0 |
[1]: the threshold below which to ignore subjects. |
output=FALSE |
a boolean indicating whether to ignore output. |
Value
discr [1]: the discriminability statistic.
Author(s)
Eric Bridgeford and Gregory Kiar
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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