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.
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 that 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 effect, 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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