Wald test for the statistical difference between two or more activitiy level estimates.
A list of fitted
Uses a Wald test to ask whether the difference between estimates a1 and a2 is significantly different from 0: statistic W = (a1-a2)^2 / (SE1^2+SE2^2) tested on chi-sq distribution with 1 degree of freedom.
A matrix with 4 columns: 1. differences between estimates; 2. SEs of the differences; 3. Wald statistics; 4. p-values (H0 is no difference between estimates). Matrix rows give all possible pairwise comparisons, numbered in the order in which they entered in the list
1 2 3 4 5 6 7 8
#Test whether paca have a sigificantly different activity level from rat. #Bootstrap reps limited to speed up example. data(BCItime) tPaca <- 2*pi*BCItime$time[BCItime$species=="paca"] tRat <- 2*pi*BCItime$time[BCItime$species=="rat"] (fPaca <- fitact(tPaca, reps=10)) (fRat <- fitact(tRat, reps=10)) compareAct(list(fPaca,fRat))
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