A list with class "aTest" containing the following components:
test statistics stat, critical value critical.value and the result of
the test result, i.e. whether the additivity hypothesis has been rejected.
Arguments
Y
data matrix
alpha
level of the test
critical.value
result of critical.values function, see Details
Nsim
number of simulations to be used for a critical value estimation
Details
The critical value can be computed in advance and given in the parameter critical value.
If not a function critical.values is called to do that.
References
Johnson, D.E. and Graybill, F.A.: An analysis of a two-way model with interaction and no replication,
Journal of the American Statistical Association67, pp. 862--868, 1972.