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Home & Education>Mathematics>LAB Fit Curve Fitting Software 7.2.35

LAB Fit Curve Fitting Software 7.2.35

The LAB Fit is a software for Windows developed fo

Windows 95/98/Me/NT/2000/XPPlatform :
Shareware; $60.00License :
3.1 MBFile Size :
Soon to be addedScreenshot :
486 DX2, Windows 95, 8 MbSystem requirements :
Wilton Pereira da SilvaPublisher :
LAB Fit Curve Fitting Software 7.2.35 Publisher's description

The LAB Fit is a software for Windows developed for treatment and analysis of experimental data. You can create data file, by manually inputting your data or paste data from Excel files. You can also import data from a non formatted TXT file. Output graphs can be zoomed into in order to provide high printing quality. The LAB Fit has a menu for curve fitting and the main programs of this menu use nonlinear regression. The LAB Fit fits functions of one and several independent variables (from 1 up to 6), admitting uncertainties at the dependent variable (Y) and also at the independent variables (X). In case of uncertainties in X and in Y it's made a pre-fit not considering the uncertainties in X, that later on are transferred to Y by error propagation. At the LAB Fit library there are more than 200 functions with one independent variable and almost 280 functions with two independent variables. The user disposes of a functions finder program. If necessary, there is an option so that the user can write its own fit function. Once determined the fit parameters, it's possible to extrapolate the fit function and, for the 2D and 3D cases, the graph of the obtained function is shown. For the 2D case, beyond the extrapolation possibility, the user can even include error bars and confidence bands to the graph. The LAB Fit has also a menu destined to the treatment of similar data, non-similar data and error propagation. Beyond that, there is a third menu with general tools like to plot a function informed by user and many other types of calculations.

Pluses: Treat similar data (grouped and ungrouped dataset, one or two samples); Treat non-similar data (each measurement given by a mean and its uncertainty); Calculate probabilities for many distributions (Gaussian, t-Student, Fisher-Snedecor, Chi-Square and Correlation Coefficient); Determine propagated error (error propagation up to eight independent variables); Plot 2D and 3D graphs (normal, parametric, imported dataset, contour of maps); Execute calculations: system of linear equations, roots of function, nonlinear equation, ordinary differential equation (ODE up to fifth order), system of ordinary differential equations (first order ODE, up to five equations), approached function for ODE solution, calculator, etc; Extract data (x;y) from a 2D graph (digitizing); Curve Fitting (nonlinear regression - least squares method, Levenberg-Marquardt algorithm -, almost 500 functions at the library with one and two independent variables, functions finder, option that let you write your own fitting function with up to 150 characters, 6 independent variables and 10 parameters).

Drawbacks / flaws:

In conclusion: A very good tool for treatment and analysis of experimental data.

version reviewed: 7.2.35


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