plusmaze: Data on correct choices in a + maze
In ontogenerator/cpdetectoR: Change point estimation from sequences of choices

Description Usage Format Source

Data from Gallistel et al. (2004). Original data description: "These are frequencies, so, in principle, a chisquare test is appropriate to test for changes in the expected frequency of correct choice. However, for some frequency data sets, the chisquare test runs into computational difficulties. The chisquare computation is not valid unless the expected number of observations in the cell with the smallest expectations is 5 or greater. The function tests for this, and, if this condition is not met, then it uses the Fisher's exact test. However, Fisher's exact test uses factorials, and these can become intractably large. This happens in data where the frequency before a change is already high, say 0.85, and it becomes even higher after the change. Under these conditions, the numbers of observations in the more populous cells become large and the factorials intractable. One can also treat these data as generated by a random rate process that has a certain probability of generating a correct choice on any given trial. In that case, one would use the random rate test. This test is more computationally robust (less likely to run afoul of computational problems) than the chi square test and should be used whenever the chi square test fails for computational reasons."