etasqr.gen.2way {statpsych} | R Documentation |
Generalized eta-squared estimates in a two-factor design
Description
Computes generalized eta-square estimates in a two-factor design where one or both factors are classification factors. If both factors are treatment factors, then partial eta-square estimates are typically recommended. The eta-squared estimates from this function can be used in the etasqr.adj) function to obtain bias adjusted estimates.
Usage
etasqr.gen.2way(SSa, SSb, SSab, SSe)
Arguments
SSa |
sum of squares for factor A |
SSb |
sum of squares for factor B |
SSab |
sum of squares for A x B interaction |
SSe |
error (within) sum of squares |
Value
Returns a 3-row matrix. The columns are:
A - estimate of eta-squared for factor A
B - estimate of eta-squared for factor B
AB - estimate of eta-squared for A x B interaction
Examples
etasqr.gen.2way(12.3, 15.6, 5.2, 7.9)
# Should return:
# A B AB
# A treatment, B classification: 0.300000 0.5435540 0.1811847
# A classification, B treatment: 0.484252 0.3804878 0.2047244
# A classification, B classification: 0.300000 0.3804878 0.1268293
[Package statpsych version 1.6.0 Index]