survsamp.srs: A function for surveys using simple 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 simple random sampling.

Usage

survsamp.srs(y = NULL, B = NULL, N = NULL, p = NULL, sig2 = NULL,
  sample.size.det = FALSE, estimate = "mean", systematic = FALSE,
  alpha = 0.05)

Arguments

y	The data vector to be used for estimation.
B	The desired bound on the estimation. Required for sample size determination.
N	The population size. Required.
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.
systematic	Logical statement indicating if a systematic sample of a randomly ordered population is to occur. This results in a k value computed in the sample size determination.
alpha	Significance level.

Examples

survsamp.srs(B=.1,N=100,p=.75,
   sample.size.det = TRUE,estimate="proportion")
survsamp.srs(y=rnorm(50,5,2),N=100)#,sig2=1)
survsamp.srs(B=75,N=100,sig2=1,estimate="total",
   sample.size.det = TRUE,systematic=TRUE)

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