Menu.facTab1 {RcmdrPlugin.DoE} | R Documentation |
Basic information for full factorial designs
Description
This help file describes usage of the basic information tab of
the full factorial design menu
Brief 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.
Inputs on Tab Base Settings
- name of design
- must be a valid name. The design itself is created under
this name in the R workspace.
- number of runs
- is a consequence of the specifications on the Factor Details tab.
It is displayed for information purposes only; its value is only valid if
the Factor Details tab contains entries for all factors.
- number of factors
- must always be specified.
The number of factors must match the number of entries on the Factor Details tab.
- replications
- is the number of times each experimental run is conducted.
If larger than 1, each run is conducted several times. If the checkbox next
to the number of replications is checked, it is assumed that the experiment
involves repeated measurements for one setup of the experimental run; if it
is not checked, the experimental run itself is replicated with everything
relevant newly set up (much more valuable than repeated measurements, unless
the key driver of variability is in the measuring step). If the check box is
not checked, the experiment will be randomized separately for each round of
replications (first all first runs, then all second runs etc.).
- randomization settings
- should normally not be changed; you can provide a
seed if you want to exactly reproduce a randomized design created in the past.
Unchecking the randomization box will produce a non-randomized experiment.
This is usually NOT recommended.
Author(s)
Ulrike Groemping
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.
[Package
RcmdrPlugin.DoE version 0.6-10
Index]