etasqr.gen.2way {statpsych} | R Documentation |
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. Use the estimates from this function in the etasqr.adj function to obtain bias adjusted estimates.
etasqr.gen.2way(SSa, SSb, SSab, SSe)
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 |
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
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 classiciation: 0.300000 0.3804878 0.1268293