t.test.cluster(y, cluster, group, conf.int = 0.95) ## S3 method for class 't.test.cluster': print(x, digits, ...)
t.test.cluster
t.test.cluster
Frank Harrell
Donner A, Birkett N, Buck C, Am J Epi 114:906-914, 1981.
Donner A, Klar N, J Clin Epi 49:435-439, 1996.
Hsieh FY, Stat in Med 8:1195-1201, 1988.
set.seed(1) y <- rnorm(800) group <- sample(1:2, 800, TRUE) cluster <- sample(1:40, 800, TRUE) table(cluster,group) t.test(y ~ group) # R only t.test.cluster(y, cluster, group) # Note: negate estimates of differences from t.test to # compare with t.test.cluster