Model agnostic logRT analyses

Model-agnostic analyses of logRT data. Data are participant x true transition probability.<br>For x.AllCorrectTrials, x.LateEarlyDifference and x.LateEarlyDifference_millisecond:Column 1 = high probability transition (p=0.70 or p=0.85)Column 2 = mid probability transition (p=0.20 or p=0.25)Column 3 = low probability transition (p=0.05)NaN = missing data<br>x.DrugID gives the row-wise drug identifier for each participant, where:1 = Placebo2 = DA-3 = ACh-4 = NA-<br>x.DeltaAlertness and x.BodyWeight were used as covariates in the analyses.