t.test.cluster: t-test for Clustered Data

In harrelfe/Hmisc: Harrell Miscellaneous

t-test for Clustered Data

Description

Does a 2-sample t-test for clustered data.

Usage

t.test.cluster(y, cluster, group, conf.int = 0.95)
## S3 method for class 't.test.cluster'
print(x, digits, ...)

Arguments

y	normally distributed response variable to test
cluster	cluster identifiers, e.g. subject ID
group	grouping variable with two values
conf.int	confidence coefficient to use for confidence limits
x	an object created by t.test.cluster
digits	number of significant digits to print
...	unused

Value

a matrix of statistics of class t.test.cluster

Author(s)

Frank Harrell

References

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.

See Also

t.test

Examples

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

harrelfe/Hmisc documentation built on Nov. 21, 2024, 3:47 p.m.