Data Fitting

version 1.0 (145 KB) by Dr. NEETU PRASAD
This app does the regression of data given by user for polynomial, exponential, power, fourier, linear multiple regression functions.

1.1K Downloads

Updated Thu, 28 Apr 2022 04:59:20 +0000

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Data fitting is the process of fitting models to data and analyzing the accuracy of the fit.
Data fitting is the way we model or represent a data spread by assigning a 'best fit' function (curve) along the entire range. Ideally, it will capture the trend in the data and allow us to make predictions of how the data series will behave in the future which includes:
(1) polynomial
(2) exponential
(3) power
(4)fourier
(5)mutiple linear regression
and it also includes nonparametric function "smoothening" which smoothens the given data.
Curve fitting is the way we model or represent a data spread by assigning a 'best fit' function (curve) along the entire range. Ideally, it will capture the trend in the data and allow us to make predictions of how the data series will behave in the future which includes:
(1) polynomial
(2) exponential
(3) power
(4)fourier
(5)mutiple linear regression
and it also includes nonparametric function "smoothening" which smoothens the given data.
This app fits the data in the graphical form and also gives the fitting parameters that describes the mathematical relation between the given data variables.
Data analyser also give the goodness of curve or we can say parameters that describes quality of curve.
FEATURES:
* Toolbar that contains legends, grids, residual plot and curve reset.
* Menu bar that contains import facility through which user can import his/her data from excel sheet to our app and help dialog box that tells the user the steps to fit the data
* Input data fields--- user can input the data variables in the form of arrays
* Table -- user can see inputted data and fit value(output) in the table.
* Drop down menu -- user can choose the different types of fitting functions from the drop down menu.
* Result area -- user can see goodness of fit and equation of the curve in the result area.
* Result table -- user can compare and choose the best fit from given parameters.
* Residual plot -- user can see residuals from original and fitted data in the residual plot.

Cite As

Dr. NEETU PRASAD (2022). Data Fitting (https://www.mathworks.com/matlabcentral/fileexchange/110730-data-fitting), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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