lbi.test | R Documentation |
Test for an interaction in two-way ANOVA table by the LBI test.
lbi.test(Y, alpha = 0.05, critical.value = NA, Nsim = 1000)
Y |
data matrix |
alpha |
level of the test |
critical.value |
result of |
Nsim |
number of simulations to be used for a critical value estimation |
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.
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.
Boik, R.J.: Testing additivity in two-way classifications with no replications:the locally best invariant test, Journal of Applied Statistics 20,pp. 41–55, 1993.
tukey.test
, mtukey.test
, mandel.test
,
johnson.graybill.test
, tusell.test
data(Boik) lbi.test(Boik)
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