In cwendorf/dgb: DGB

library(DGB)

Linear Contrast of Proportions (Between Subjects)

ci.lc.prop.bs

Computes adjusted Wald confidence interval for a linear contrast of population proportions in a between-subjects design.

Arguments: - alpha: alpha level for 1-alpha confidence - f: vector of sample frequency counts - n: vector of sample sizes - c: vector of contrast coefficients

Values: - estimate, standard error, lower limit, upper limit

alpha = .05
f = c(26, 24, 38)
n = c(60, 60, 60)
c = c(-.5, -.5, 1)
ci.lc.prop.bs(alpha, f, n, c)

size.ci.lc.prop.bs

Computes sample size per group required to estimate a linear contrast of proportions in between-subjects design with desired precision.

Arguments: - alpha: alpha level for 1-alpha confidence - p: vector of proportion planning values - c: vector of contrast coefficients - w: desired confidence interval width

Values: - required sample size

alpha = .05
p = c(.25, .30, .50, .50)
c = c(.5, .5, -.5, -.5)
w = .2
size.ci.lc.prop.bs(alpha, p, c, w)

cwendorf/dgb documentation built on May 3, 2022, 9:35 p.m.