Hi,
I want a sigma plot of smoother curves at a time value of 2300 for the upper curves (circled in red, It looks like I have a bi-modal distribution so I just want to focus on the biomodal distrubtion that has more data points). I have no voltage measurements at the circled points (values are between 2.9 and 3.0V). Is there a way to get a sigma plot of these smoother plots at a time of 2300?
Thanks for posting the data. There's a few splits and stacks to get the data in the right format so we can do the spline fitting, predictions for new values of Voltage, and then compute the standard deviations. Hope this is clear enough to follow along. I attached the results of each step.
Col Std Dev( :Time Predicted, :Voltage )
What's a sigma plot? The Google machine just returns a bunch of information about some overpriced graphing software. I'm guessing that's not what you meant.
Here is sigma plot I am trying to create. Yeah I also noticed google giving a bunch of links to buy some software
Ok thanks for the illustration. That helps, but I'm still a bit confused. Is sigma denoting standard deviation here? If so, is it of voltage at a given time point across blocks, or time at a given voltage across blocks? Neither of those actually make sense to me if you are just interested in Time = 2300 since you would just get a single point to plot. If we can get on the same page on what is the Y-axis is measuring, then I think it will be easy enough to get the plot you're after.
Sorry for the confusion. Sigma plot is denoting standard deviation. I want voltage at a given time of 2300 across the blocks. I want to emphasize that I want the sigma plot on the curves that have been smoothed between 2.9 and 3.0V and not on actual data points (I don't have any voltage points between 2.9 and 3.0V). So in other words it is a sigma plot on teh interpolated values.
So, x-axis is Voltage with min at 2.9V and max at 3.0V, and y-axis is standard deviation of time predictions (interpolated from smoothers) at a given voltage. Right?
If that's the case, you'll probably need to re-create those smoothing splines in Fit Y by X for each block and save the predicted values to the table so you can get those predictions. If you have each block as a separate column, you can add a few more rows to the get the predicted time at each voltage value you want. Then, you could compute the standard deviation of the predicted values for each row to get the sigma values for your plot. If you could post your data table, I could show you what I mean.
Yes this is exactly what I want. Attaching data table.
Thanks for posting the data. There's a few splits and stacks to get the data in the right format so we can do the spline fitting, predictions for new values of Voltage, and then compute the standard deviations. Hope this is clear enough to follow along. I attached the results of each step.
Col Std Dev( :Time Predicted, :Voltage )
So this is close but not exactly what I need. In table 2 you give voltage inputs from 2.9 to 3.0V and then from this you can get the corresponding predicted time for every block. What I want is the other way around I want to give a time of 2300 and then see what voltage each block will give me. So in table 2 if I could instead give it a time of 2300 and then it would predict what voltage that corresponds to. Sorry for confusion about this :(
I have done the following and got it to work but I have a lot of data and it is not feasible to do this task in the steps below:
I see no feedback on this is it fair to say that this cannot be done in JMP?