These effects are modeled to explain variability in the
principal components
.
Variance
components are estimated for each effect and then combined into a single pie chart of total variability in the principal components.
At least
one
variance component effect must be specified in order to produce results.
For purposes of modeling additivity, all effects specified here are treated as
random effects
, even though you might normally consider them to be
fixed effects
in an
ANOVA
analysis.
Effects typically contain one or more
Class Variables
, which must also be specified.
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If you specify more than one effect, then you must separate the effects with
spaces
. For example, assuming
A
and
B
are listed as
Class Variables
, typing
A B
in the text field specifies
variables
A
and
B
as main fixed effects.
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To specify interactions between effects, type an
asterisk
(
*
) between the effects. For example, assuming
A
and
B
are listed as
Class Variables
, typing
A B A*B
specifies variables
A
and
B
, and the
interaction
between
A
and
B
as effects.
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A
vertical bar
(
|
) can be used to create
main effects
and interactions. For example, typing
A|B
is the same as typing
A B A*B
.
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An
at-sign
(
@
) can be used to limit the number of interactions. For example, typing
A|B|C@2
removes the three-way interaction term.
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