In cwendorf/dgb: DGB

library(DGB)

Standardized Mean Difference from Paired Samples

ci.stdmean.ps

Computes confidence interval for a population standardized mean difference in a paired-samples design.

Arguments: - alpha: alpha level for 1-alpha confidence - mj: sample mean in condition j - sdj: sample standard deviation in condition j - n: sample size - cor: sample correlation

Values: - estimate, SE, lower limit, and upper limit for equal variance and unequal variance methods plus single condition standardizer

alpha = .05
m1 = 110.4
m2 = 102.1
sd1 = 15.3
sd2 = 14.6
n = 25
cor = .75
ci.stdmean.ps(alpha, m1, m2, sd1, sd2, n, cor)

size.ci.stdmean.ps

Computes sample size required to estimate a population standardized mean difference with desired precision in a paired-samples design.

Arguments: - alpha: alpha level for 1-alpha confidence - d: planning value of standardized mean difference
- cor: planning value of correlation - w: desired confidence interval width

Values: - required sample size

alpha = .05
d = 1
cor = .65
w = .6
size.ci.stdmean.ps(alpha, d, cor, w)

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