ExampleData

Artificial dataset to be used with <code>samp</code> and <code>transformprn</code>.

datasets

Survey sampling using permanent random numbers (PRN's). A solution to the
problem of unknown overlap between survey samples, which leads to a low
precision in estimates when the survey is repeated or combined with other
surveys. The PRN solution is to supply the U(0, 1) random numbers to the
sampling procedure, instead of having the sampling procedure generate them.
In Lindblom (2014) <doi:10.2478/jos-2014-0047>, and therein cited articles,
it is shown how this is carried out and how it improves the estimates. This
package supports two common fixed-size sampling procedures (simple random
sampling and probability-proportional-to-size sampling) and includes a
function for transforming the PRN's in order to control the sample overlap.

Kira Gylling

prnsamplr

Permanent Random Number Sampling

ExampleData function

A data frame with 40000 observations on the following 6 variables.<dl>
 <dt><code>stratum</code></dt>
<dd>a character vector</dd> <dt><code>id</code></dt>
<dd>a numeric vector</dd> <dt><code>npopul</code></dt>
<dd>a numeric vector</dd> <dt><code>nsample</code></dt>
<dd>a numeric vector</dd> <dt><code>rands</code></dt>
<dd>a numeric vector</dd> <dt><code>sizeM</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

ExampleData — ExampleData

A data frame with 40000 observations on the following 6 variables.<dl>
 <dt><code>stratum</code></dt>
<dd>a character vector</dd>

 <dt><code>id</code></dt>
<dd>a numeric vector</dd>

 <dt><code>npopul</code></dt>
<dd>a numeric vector</dd>

 <dt><code>nsample</code></dt>
<dd>a numeric vector</dd>

 <dt><code>rands</code></dt>
<dd>a numeric vector</dd>

 <dt><code>sizeM</code></dt>
<dd>a numeric vector</dd>

 
</dl>

ExampleData: ExampleData

Description

Usage

Arguments

Format

Examples