To me it seems like returning chi-sq = 0 and p-value = 1 would make sense.
It would also be consistent with other scenarios of equal variance in all
groups. One example:
fligner.test(1:8, gl(2,4))
# Fligner-Killeen test of homogeneity of variances
#
# data: 1:8 and gl(2, 4)
# Fligner-Killeen:med chi-squared = 0, df = 1, p-value = 1
But I am aware that other tests implemented in stats:: sometimes throw
errors in similar situations.
Maybe someone more familiar with the behaviour and philosophy behind
stats:: preferences can add more weight here?
Warm regards,
Karolis K.
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