Menu.facTab1: Basic information for full factorial designs
Description
This help file describes usage of the basic information tab of
the full factorial design menuBrief statistical background
Full factorial designs consist of all possible combinations of factor levels,
i.e. the number of runs is the product of all numbers of factor levels,
for example 24 for an experiment with two 2-level factors and one 6-level
factor. Of course, their size grows fast with the number of factors. If
a full factorial design is not feasible, orthogonal main effects designs
or (manually-generated) combinations of smaller designs may be a reasonable
option.References
~put references to the literature/web site here ~See Also
See Also fac.design
for the function that does the calculations
and Menu.General
for overall help on the general factorial design menu.