powerb function

Power Functions for Tests of Simple Linear Regression Coefficients

A function to calculate the power of the t-tests corresponding to tests on the intercept and slope coefficients in the simple linear regression model.

power.b(x, y, alpha = 0.05, B0 = 0, B1 = 0)

Arguments

• x: A vector of predictor values. Must be the same length as y.
• y: A vector of response values. Must be the same length as x.
• alpha: Significance level of the test. Default level is 0.05.
• B0: Null value for the test about the intercept.
• B1: Null value for the test about the slope. ## Returns

power.b returns a matrix with the noncentrality parameters and power levels for the corresponding t-tests. ## See Also

power.F

References

Young, D. S. (2017), Handbook of Regression Methods, CRC Press.

Examples

## Applied to the toy dataset.

data(toy)

power.b(x = toy$x, y = toy$y)