I am trying to create a script that captures the results from nonlinear model fitting and outputs these into a graph. The data set was captured through time continuously to which I fitted a nonlinear model (see picture attached). I have 12 different samples for which I have the same graph if you owuld to scroll down.
However, I would like to report the graph in a way that I can see the data captured for only the rows correspondent to the days 0, 1, 2, 3, 4, 5, and so on until 21 days whithout interfering the curve of the model by sample. In this case I wan to have the experimental data as a scatter plot data and the model as a continuous curve data or smooth curve
How do I do this?
The graph builder does not seem to plot both experimental data and model at the same as first challenge.
My reasoning was that I could potentially use some sort of data filter that I could apply whenever I call the script without interfering with the model column. Do I need to create a new data table specific for the models with the new parameter estimates for each of the 12 samples and then call graph builder?
I also tried using the Graph/Legacy/overlay plot on JMP menu tab. This seems to plot both Data and Model curves, but in this case I realized that JMP did not applied the parameter estimates individually to each sample on the model column after I accepted and saved the paramters estimates for each sample. In this case the Model formula only uses the parameters that were estimated for the sample that appears first on the data table and uses these for the following samples.
Do I need to then creat a new data table that generates 12 columns with the model formula using the determined parameter estimates for each sample to be able to plot both model and experimental data together for each sample?
I hope this is clear. I can upload a screen shot of the data table etc
