t.test.cluster

0th

Percentile

t-test for Clustered Data

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

Keywords
htest
Usage
t.test.cluster(y, cluster, group, conf.int = 0.95)
# S3 method for 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

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

Aliases
  • t.test.cluster
  • print.t.test.cluster
Examples
# NOT RUN {
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
# }
Documentation reproduced from package Hmisc, version 4.1-1, License: GPL (>= 2)

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