Menu.oaTab1: Basic information for orthogonal main effects designs
Description
Basic information for orthogonal main effects design MenuBrief statistical background
The orthogonal main effects designs are of different types.
They all work well if there are indeed no interactions between factors.
Some of them have complete aliasing between main effects and two-factor interactions
at least for some factors. It is therefore advisable to check the design
before actually conducting the experiment with respect to its potential analysis
options and biases.
Also note that it is usually preferable to create
an experiment with solely 2-level factors from the special menu for 2-level
situations. If there is just one factor at more than 2 levels, it may also be
useful to simply cross this factor with an otherwise 2-level design. Also, 4-level
factors can be accomodated in 2-level designs by allocating them to two 2-level
factors together with their interaction (i.e. three columns of the model matrix).
Both possibilities will be automatically available in the future; for the time
being, they require manual work by the user.References
~put references to the literature/web site here ~See Also
See Also oa.design for the function that does the calculations
and Menu.General for overall help on the general factorial design menu.