https://bugs.kde.org/show_bug.cgi?id=390865

--- Comment #7 from Alexander Semke <alexander.se...@web.de> ---
(In reply to Colin Griffith from comment #5)
> In case it's relevant, I suppose I should mention that the data I'm messing
> with is 4401 data points, with X values ranging from 390 to 830, and Y
> values ranging from 0 to 2. Most plots have 3 data sets plotted, and one
> fitting curve for each (so 3 total fitting curves, and 6 curves total).
> Usually I have 2 such data sets, and so 2 plots, making 12 curves total.
> 
> The exact data can be downloaded from these pages:
> http://www.cvrl.org/ciepr8dp.htm
> http://www.cvrl.org/ciexyzpr.htm
> 
> 
> To get the exact data files I'm using, choose these options on the form:
> 
> 1st page: 2-degree cone fundamentals in Energy (linear) units with a
> stepsize of 0.1nm, in CSV format.
> 
> 2nd page: 2-degree XYZ color matching functions with a stepsize of 0.1nm, in
> CSV format.

I just tried out the data from the first page. I have no problems to plot and
to fit to those three Gauss curves. I attached the screenshot of the results.
The curves with the filled areas are the fitted results.

To get this data quickly fitted in LabPlot:
1. import the csv file into a spreadsheet, use preview tab to check the results
of the import settings
2. do a right click in the spreadsheet and select "Plot data" from the context
menu and plot three curves in one single plot
3. do a right click on the curve (either in the plot or in the project
explorer) and select Analysis/Fit/Gauss from the context menu
4. we fail to guess good starting values at the moment, so just provide a
reasonable mean value for \mu and recalcute again.

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