sscsample {Bolstad}R Documentation

Simple, Stratified and Cluster Sampling

Description

Samples from a fixed population using either simple random sampling, stratitified sampling or cluster sampling.

Usage

sscsample(size, n.samples, sample.type="simple", x = NULL,
          strata = NULL, cluster = NULL, ret=FALSE, print = TRUE)

Arguments

Do not set the following values unless you know what you are doing!
size the desired size of the sample
n.samples the number of repeat samples to take
sample.type the sampling method. Can be one of "simple", "stratified", "cluser" or 1, 2, 3 where 1 corresponds to "simple", 2 to "stratified" and 3 to "cluster"
x a vector of measurements for each unit in the population. By default x is not used, and the builtin data set sscsample.data is used
strata a corresponding vector for each unit in the population indicating membership to a stratum
cluster a corresponding vector for each unit in the population indicating membership to a cluster
ret this argument is deprecated
print if false then the screen output will be supressed.

Value

A list will be returned with the following components:
samples a matrix with the number of rows equal to size and the number of columns equal to n.samples. Each column corresponds to a sample drawn from the population
s.strata a matrix showing how many units from each stratum were included in the sample
means a vector containing the mean of each sample drawn

Author(s)

James M. Curran, Dept. of Statistics, University of Waikato, Hamilton, New Zealand. Janko Dietzsch, Proteomics Algorithm and Simulation,Zentrum f. Bioinformatik Tuebingen Fakultaet f. Informations- und Kognitionswissenschaften, Universitaet Tuebingen

See Also

sscsample.data

Examples

## Draw 200 samples of size 20 using simple random sampling
sscsample(20,200)

## Draw 200 samples of size 20 using simple random sampling and store the
## results. Extract the means of all 200 samples, and the 50th sample
res = sscsample(20,200)
res$means
res$samples[,50]

[Package Bolstad version 0.2-17 Index]