While used as a curve fitting software package,
DataScene allows the user to fit curves using the Nonlinear
Fit series function that is based on least-squares
regression.
The user can choose one of the built-in model functions or build his/her own custom function in the fit. DataScene's curve fitting
algorithm is very robust - there is no limit to the number of
fitting parameters used in the model function of the fit.
Built-in Model
Functions
DataScene supports five built-in
model functions: Exponential, Polynomial, Gaussian, Lorentzian, and
Voigt. By analyzing the curve to be fit and the information provided
by the user via the Series
Fucntion Editor, DataScene automatically estimates the initial
values for the fitting parameters and in majority cases this will result in a converged fit without
the user's interference.
Arbitrary Custom
Functions
In DataScene, the user can build any custom model function with any number of
fitting parameters.
Adding and editing a new model function is extremely easy with
DataScene's Series
Fucntion Editor and its embedded formula editor that contains
in-place help for all library functions and constants.
Linear Regression
Linear regression is performed in
DataScene with the Linear
Regression series function.
It just takes the user few mouse clicks to have the job done.
Auto
Recalculation
If
the source curve changes, DataScene will automatically redo the
regression without the user's interaction. This feature takes the
burden of recalculation off the user's shoulder and makes it
possible for DataScene to fit
real-time data.
Ease of Use
DataScene comes with a user friendly
Wizard, as well as tutorials and context-sensitive help. With the Wizard,
it takes only few minutes for a new user to learn to fit curves with DataScene.
