sheepData

This test data frame contains a ficticious list of Austrian sheep
holdings with information on the state and the number of
animals.

datasets

Functions, S4 classes/methods and a graphical user interface (GUI) to design surveys to substantiate freedom from disease using a modified hypergeometric function (see Cameron and Baldock, 1997, <doi:10.1016/s0167-5877(97)00081-0>). Herd sensitivities are computed according to sampling strategies "individual sampling" or "limited sampling" (see M. Ziller, T. Selhorst, J. Teuffert, M. Kramer and H. Schlueter, 2002, <doi:10.1016/S0167-5877(01)00245-8>). Methods to compute the a-posteriori alpha-error are implemented. Risk-based targeted sampling is supported.

Ian Kopacka

Freedom from Disease

sheepData function

A data frame with 15287 observations on the following 3 variables.<dl>
 <dt><code>herdId</code></dt>
<dd>Numeric vector. Unique identification number of the herd.</dd> <dt><code>state</code></dt>
<dd>Numeric vector. The 9 Austrian states are coded using 
 the numbers 1 to 9.</dd> <dt><code>nSheep</code></dt>
<dd>Numeric vector. Number of animals for each holding.</dd> 
</dl>

Format

Simulated test data frame of Austrian sheep holdings. — sheepData

A data frame with 15287 observations on the following 3 variables.<dl>
 <dt><code>herdId</code></dt>
<dd>Numeric vector. Unique identification number of the herd.</dd>

 <dt><code>state</code></dt>
<dd>Numeric vector. The 9 Austrian states are coded using 
 the numbers 1 to 9.</dd>

 <dt><code>nSheep</code></dt>
<dd>Numeric vector. Number of animals for each holding.</dd>

 
</dl>

sheepData: Simulated test data frame of Austrian sheep holdings.

Description

Usage

Arguments

Format

Examples