PairwiseTest() computes the statistical significance when comparing TAI (or TDI) between two conditions/contrasts, e.g. male vs female, via permutation test (similar to ReductiveHourglassTest(), EarlyConservationTest(), LateConservationTest(), ReverseHourglassTest()). The alternative hypothesis between the two contrasts is specified using altHypothesis = "less" or altHypothesis = "greater". The distribution of the permutations w.r.t. the original value can be visualised by including plotHistogram = TRUE.
pairScore() is a lower-level function for the PairwiseTest() that computes the difference in TAI (or TDI). The alternative hypothesis between the two contrasts is specified using altHypothesis = "less" or altHypothesis = "greater".
New features
PairwiseTest()
computes the statistical significance when comparing TAI (or TDI) between two conditions/contrasts, e.g. male vs female, via permutation test (similar toReductiveHourglassTest()
,EarlyConservationTest()
,LateConservationTest()
,ReverseHourglassTest()
). The alternative hypothesis between the two contrasts is specified usingaltHypothesis = "less"
oraltHypothesis = "greater"
. The distribution of the permutations w.r.t. the original value can be visualised by includingplotHistogram = TRUE
.pairScore()
is a lower-level function for thePairwiseTest()
that computes the difference in TAI (or TDI). The alternative hypothesis between the two contrasts is specified usingaltHypothesis = "less"
oraltHypothesis = "greater"
.