Design Effect and Intra-cluster Correlation
Computes the Kish design effect and corresponding intra-cluster correlation for a single cluster-sampled variable
deff(y, cluster)
y |
variable to analyze |
cluster |
a variable whose unique values indicate cluster membership. Any type of variable is allowed. |
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).
Frank Harrell
Department of Biostatistics
Vanderbilt University
fh@fharrell.com
set.seed(1) blood.pressure <- rnorm(1000, 120, 15) clinic <- sample(letters, 1000, replace=TRUE) deff(blood.pressure, clinic)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.