02-28-2006 08:22 AM
03-02-2006 10:22 AM
03-02-2006 11:13 AM
03-02-2006 11:35 AM
y = a/1+e**-((x-b)/c)
03-02-2006 05:07 PM - edited 03-02-2006 05:07 PM
Message Edited by altenbach on 03-02-2006 03:11 PM
03-03-2006 06:58 AM
09-12-2007 07:14 AM
09-12-2007 10:46 AM - edited 09-12-2007 10:46 AM
The model function calculates an array of y given an array of x values. Nothing prevents you from creating an array that has only one element. 😄
Just give it an array containing your desired "x" and the array of best fit paramters and it will calculate an array containing a single element. This is the "y" you want.
If you have LabVIEW 8.0 or later, I suggest to use the new "Nonlinear Curve Fit". It also calls the function by reference node but is more universal and has a few more bells an whistles. 😉
Message Edited by altenbach on 09-12-2007 08:46 AM
02-09-2010 08:57 AM
I want to fit kinetic functions (3-param sigmoid functions,...) in Profit6.11.1. I´m queen on producing the data on the bench but would be fine to feel comfortable to fit the data and deduce IC50, Km Kcat and so on.
So many thanks for some practice advices.
Ciara
08-01-2016 10:17 AM
Hi , Thank u. This is such a nice example for Psychometric curve fitting. I was tring to reduce the X data points to 5 [1 2 3 4 5] and the Y data points from 0 to 1.0 (percentage). Can you help on this?