survsamp.cluster: A function for surveys using cluster random sampling

In carrollrm/survsamp: Estimation and Sample Size Determination for Elementary Survey Sampling Methods

Description

This function allows you to make estimation or sample size determinations for surveys using cluster random sampling.

Usage

survsamp.cluster(y = NULL, B = NULL, a = NULL, N = NULL, m = NULL,
  M = NULL, p = NULL, sig2 = NULL, sample.size.det = FALSE,
  estimate = "mean", alpha = 0.05)

Arguments

y	The total of all observations in the sample needed for mean and total estimation.
B	The desired bound on the estimation. Required for sample size determination.
a	The total number of elements in cluster with the characteristic of interest. Needed for estimating the proportion.
N	The number of clusters in the population. Required.
m	The number of elements per sampled cluster.
M	The number of elements in the population.
p	The population proportion.
sig2	The population variance.
sample.size.det	Logical statement indicating if the action should be sample size determination. If false, estimation occurs.
estimate	Indicate the desired statistic to be estimated. Options include: mean, total, and proportion.
alpha	Significance level.

Examples

survsamp.cluster(N=12,M=100,sig2=35000,estimate="mean",
   B=9,sample.size.det=TRUE)
set.seed(123019)
m=rpois(9,10)
survsamp.cluster(y=rpois(9,100),m=m,N=12,M=100,estimate="total")
survsamp.cluster(a=m-rpois(9,3),m=m,N=12,M=100,estimate="proportion")

carrollrm/survsamp documentation built on April 28, 2020, 4:04 a.m.