3.6.3.2. Some options

When creating a new OAT sampler object, the following options are available:

• sampling mode: determines how the modified factor’s new values are selected inside the interval \(\left[ nominal-\frac{range}{2}; nominal+\frac{range}{2} \right]\). It can be either:

  • regular: an even number of new values and the nominal value are regularly distributed along the interval.

  • lhs, srs or random: the new values are randomly chosen inside the interval using a Latin Hypercube Sampling (“lhs”) or a Standard Random Sampling (“srs” and “random”) (cf. Figure 3.3). The sample’s distribution is given by the type of the attribute representing the factor (cf. Introducing the TStochasticAttribute classes).

• number of modifications: the number of new values taken by a modified factor. It must be greater or equal to 2. If the sampling mode is “regular” and the given number \(M\) is odd, the actual number of modifications will be \(M-1\).

In the example of Construction of a simple OAT design-of-experiments, we used the default options for the OAT sampler, namely:

• sampling mode: regular;

• number of modifications: 2.

In the next examples, we present the results of choosing different options.