EstimatePower {RSmallTelescopes} | R Documentation |
Estimate Power
Description
Estimate statistical power of an effect size parameter by simulation using original sample size.
Usage
EstimatePower(data, n.original, B.power, analysis, n.rows, alpha)
Arguments
data |
Dataset (matrix). |
n.original |
The sample size of the original analysis (scalar). |
B.power |
The number of samples to be simulated (scalar). |
analysis |
Function to produce a p value and an effect size estimate. |
n.rows |
The number of rows per subject in the dataset (scalar) |
alpha |
Set alpha level for analysis (scalar) |
Value
Power estimate generated through simulation (scalar).
Examples
# create or import dataset
example.data <- matrix(rnorm(50), 25, 2)
# estimate statistical power
EstimatePower(
data = example.data,
n.original = 10,
analysis = function(data) {
corr <- cor.test(data[,1], data[,2])
return(list(effect.size = corr$estimate, p.value = corr$p.value))
},
B.power = 100,
n.rows = 1,
alpha = 0.05)
[Package RSmallTelescopes version 1.0.4 Index]