size.test.lc.mean.ws: Sample size for a test of a within-subjects mean linear...

In statpsych: Statistical Methods for Psychologists

Sample size for a test of a within-subjects mean linear contrast

Description

Computes the sample size required to test a linear contrast of population means with desired power in a within-subjects design. Set the average variance planning value to the largest value within a plausible range for a conservatively large sample size. Set the average correlation planning value to the smallest value within a plausible range for a conservatively large sample size.

Usage

size.test.lc.mean.ws(alpha, pow, var, es, cor, q)

Arguments

alpha	alpha level for hypothesis test
pow	desired power
var	planning value of average variance of measurements
es	planning value of linear contrast of means
cor	planning value of average correlation between measurements
q	vector of with-subjects contrast coefficients

Value

Returns the required sample size

Examples

q <- c(.5, .5, -.5, -.5)
size.test.lc.mean.ws(.05, .90, 50.7, 2, .8, q)

# Should return:
#      Sample size
# [1,]          29
 

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