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Won88
1 Posts |
Posted - 10/15/2024 : 11:54:59 PM
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Origin Ver. and Service Release (Select Help-->About Origin): Origin 2015 (64-bit) Sr2 Academic
Greetings,
I would like to extrapolate some data with SD values from a fitted curve (image link below). Based on the fitted data, I'm looking to get the concentration (x-axis) at which there is 10% effect (y-axis). After fitting, in the FitNLCurve tab there are columns (X and Y) which are titled "Fitted Curves Plot". They seem to be the data associated with the curve. There are X and Y values associated with each point, but no error values. Is there a way to obtain error values based on the fitted data without having to graph each dataset individually and then take the SD manually?
Thank you!
https://my.originlab.com/ftp/forum_and_kbase/Images/Compound.doc |
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NicholasSupport
USA
75 Posts |
Posted - 10/16/2024 : 7:00:10 PM
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Hello Samantha,
Thank you for reaching out. This is an interesting question!
Since the fitted function defines one Y value for each X value, we are not able to directly calculate the error as we did with the input data (multiple X values for each Y value). Let's consider an alternative approach.
We will need to prepare two columns:
(A) A column containing the error of the input data: In your original worksheet, select the data and use the "Statistics on Row(s)" button ( ) to calculate the error (you can select your preferred measure of error in the "Quantities" tab).
(B) A column containing the fitted curve's prediction for (and ONLY for) the original data's X values This can be generated by changing the parameters of the curve fitting device (click one of the green lock icons > "Change Parameters..."). Near the "Advanced" section we used earlier, go to "Find X/Y" and check "Find Y from X". Click Fit/Done and you will find a new sheet appears. In column A, paste in the original data's X values. Then, create Column C and fill it with the error column we made in part A. Click Column C's header to show the Mini Toolbar and designate this column as Y Error ( ).
Select all three columns to graph (or add to your previous graph). Now you can visually see how the data's level of variation looks along the fitted curve.
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Let me know your thoughts or questions.
Best,
Nicholas G. nicholas@originlab.com OriginLab Technical Support Team |
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