I have a time series data set, and what I'd like to do is see if the value of one column (a key performance indicator, KPI) is related to the variability in another column (a process variable, PV). I think what I'd like to do is to calculate the standard deviation across the n previous and m future data points to get an estimate of how much the PV is moving about and then plot that as x vs. the KPI as y... I'm hoping to show that the KPI goes up as the variability increases.
I can do this easily in Excel and then import into JMP, but I'm sure there's a way to do it with a JMP column formula... I'm just too dumb to work out how
Thanks in advance for any help
Charles