power.calc: Calculates the empirical and theoretical power
In agaye/ESPRESSO.ExE: Power Analysis and Sample Size Calculation for a environment-environment interaction model
Description
Usage
Arguments
Value
Author(s)
Description
The function determines the empirical and theoretical
power. The empirical power is the proportion of simulations
in which the z-statistic for the parameter of interest
exceeds the z-statistic for the desured level if
statistical significance. The theoretical power is the
power of the study.
Usage
1
power.calc(pval = NULL, z.values = NULL, mean.model.z = NULL)
Arguments
pval
cut-off p-value defining statistical
significance.
z.values
z-statistic of the determinant.
mean.model.z
mean z-statistic of the environmental
determinant.
Value
a list that contains the computed empirical power and
theoretical power.
Author(s)
Gaye A.
agaye/ESPRESSO.ExE documentation built on May 10, 2019, 7:30 a.m.
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Description Usage Arguments Value Author(s)
Description
The function determines the empirical and theoretical power. The empirical power is the proportion of simulations in which the z-statistic for the parameter of interest exceeds the z-statistic for the desured level if statistical significance. The theoretical power is the power of the study.
Usage
1 | power.calc(pval = NULL, z.values = NULL, mean.model.z = NULL)
|
Arguments
pval |
cut-off p-value defining statistical significance. |
z.values |
z-statistic of the determinant. |
mean.model.z |
mean z-statistic of the environmental determinant. |
Value
a list that contains the computed empirical power and theoretical power.
Author(s)
Gaye A.
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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