size.test.slope: Sample size for a test of a slope

In statpsych: Statistical Methods for Psychologists

Sample size for a test of a slope

Description

Computes the total sample size required to test a population slope with desired power in a between-subjects design with a quantitative factor. In an experimental design, the total sample size would be allocated to the levels of the quantitative factor and it might be necessary to use a larger total sample size to achieve equal sample sizes. Set the error variance planning value to the largest value within a plausible range for a conservatively large sample size.

Usage

size.test.slope(alpha, pow, evar, x, slope, h)

Arguments

alpha	alpha level for hypothesis test
pow	desired power
evar	planning value of within-group (error) variance
x	vector of x values of the quantitative factor
slope	planning value of slope
h	hypothesized value of slope

Value

Returns the required total sample size

Examples

x <- c(2, 5, 8)
size.test.slope(.05, .9, 31.1, x, .75, 0)

# Should return:
#      Sample size
# [1,]         100
 

statpsych documentation built on July 9, 2023, 6:50 p.m.