I have a dataset with a categorical variable (treatment).
The data columns have comparisons that take place at different times (1, 2, 4, and 6).
For each comparison variable there are columns for "Device applied" and "No Device".
So a person could be either an active or placebo (treatment) with either a device applied or not applied for each comparison variable.
For example ... "Comparision 01" could have four different combinations ...
Treatment - No device
Treatment - Device
Placebo - No device
Placebo - Device
Each of these would have its own mean. What I'm trying to figure out how to do in JMP is to do cross-comparison T-tests which would compare "Placebo - No device" against "Treatment - device". I can compare Active to active or Placebo to placebo, but I'm not seeing any way to compare across the groups.
Do I just take the results from "Distribution" with Treatment as a "By" splitter and then do a "Test mean" by plugging in the comparison I want into the Hypothesis test? That seems a bit clunky.
