User's Manual

Chapter 7 - Exercise Testing - 79
Fittings
The purpose of the fitting function is to find the function that fits as better as possible
the measured data.
The software allows to fit data according to 3 different functions:
Model Function Algorithm Available for
Linear Y=A*X+B Least squares Any Y vs any X graph
Mono-Exp Y=A+B*exp[(t-t
0
)/tau] Levemberg Marquardt Any Y vs Time Graph
Mean value
This function is available only if the active window is a single Y graph (i.e. VO
2
vs time
or VO
2
vs Load).
Fit a graph with a linear regression
1. Make active the graph window (any Y vs any X graph).
2. Right-click and select Fitting.
3. Choose Linear in the type combo box
4. Select the first point (X1) moving the mouse on the desired place in the graph
pressing the Left key or using the + and – keys.
5. Select the second point (X2) moving the mouse on the desired place in the graph
pressing the Right key or using the + and – keys.
6. Press OK to confirm.
Fit a graph with a Mono-exponential regression
1. Make active the graph window (any Y vs any X graph).
2. Right-click and select Fitting.
3. Choose Mono-exponential in the type combo box
4. Select the first point (X1) moving the mouse on the desired place in the graph
pressing the Left key or using the + and – keys.
5. Select the second point (X2) moving the mouse on the desired place in the graph
pressing the Right key or using the + and – keys.
6. Enter (if necessary) the initial values of A, B and TAU (these are the values from
which the iterative algorithm starts in order to reach the best values; the closer are
the initial coefficients to the best ones the higher is the possibility to reach the best
fit).
7. Press OK to confirm.