HoRM (version 0.1.3)

power.b: Power Functions for Tests of Simple Linear Regression Coefficients

Description

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.

Usage

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.

Value

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

References

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

See Also

power.F

Examples

# NOT RUN {
## Applied to the toy dataset.

data(toy)

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