D4. Designs

The design is defined by a shortcut for the design name and additional attributes (<shortcut> [<attribute>]). A list of available design types and shortcuts is listed in Table D.3. In Table D.4 the attribute types are explained.

Table D.3: Available experimental design types

Parameter	Description
NOM	Nominal Design
SA <num>	Screening Analysis
FUL <cp>	Full Factorial Design
CCF <cp>	Central Composite Face-centered Design
CCC <cp>	Central Composite Circumscribed Design
CCI <cp>	Central Composite Inscribed Design
RND <seed> <num>	Random Design
GR <seed> <num>	Gauß Random Design
DIA <num>	Diagonal Design
GRI <steps>	Full Grid Design
G2D <steps> <dim1> <dim2>	2D - Grid Design
LAT <seed> <num>	Latin Hypercube Design
FRA <cp> <string>	Fractional Factorial Design
PLA <cp>	Plackett-Burman Design
OME	Orthogonal Main Effect Design
SUP [<1/-1>]	Supplementary Design

Table D.4: Explanation of the attributes following the design type.

Parameter	Description
<cp>	Number of center points.
<seed>	Start value for randomizer.
<num>	Number of experiments.
<steps>	Number of steps per dimension
<dim1> <dim2>	Index of the first and second dimension.
<string>	In this string the indices are defined. ( "12(3)")
<1/-1>	This defines if the value of the supplemented parameter was on maximum or minimum boundary in the previous design. Default is the nominal value.