Hmisc (version 5.1-3)

deff: Design Effect and Intra-cluster Correlation

Description

Computes the Kish design effect and corresponding intra-cluster correlation for a single cluster-sampled variable

Usage

deff(y, cluster)

Value

a vector with named elements n (total number of non-missing observations), clusters (number of clusters after deleting missing data), rho(intra-cluster correlation), and deff

(design effect).

Arguments

y

variable to analyze

cluster

a variable whose unique values indicate cluster membership. Any type of variable is allowed.

Author

Frank Harrell
Department of Biostatistics
Vanderbilt University

See Also

bootcov, robcov

Examples

set.seed(1)
blood.pressure <- rnorm(1000, 120, 15)
clinic <- sample(letters, 1000, replace=TRUE)
deff(blood.pressure, clinic)