$matlab b spline fit$

#Matlab b spline fit how to#

C = fit(Acceleration, Displacement, вЂsmoothingsplineвЂ™) The code will be similar as in the above example with a change in line 3ДЈ. Let us try to fit вЂsmoothingsplineвЂ™ curve to the above data. In the same example, we can also fit a different type of curve as per our requirement. Output 1 and Output 2 represent the data attributes and the model respectively. This is how our input and output will look like in MATLAB command window:ДЄs we can see in Output 3, we have obtained a curve that fits our data. C = fit(Acceleration, Displacement, вЂpoly2вЂ™)

Use the вЂfitвЂ™ function to fit a curve to the loaded dataДЈ.

View the file loaded above to understand its attributes.Load the вЂcarsmallвЂ™ data to the workspace.The steps to be followed for this example are: We will load this data to our workspace and will fit a curve to its attributes вЂAccelerationвЂ™ and вЂDisplacementвЂ™. which represent various features of a car. It has attributes like вЂAccelerationвЂ™, вЂCylindersвЂ™, вЂHorsepowerвЂ™ etc. The data is of various attributes of cars manufactured over the years 1970, 1976, and 1982. In this example, we will use the вЂcarsmallвЂ™ data provided by MATLAB. We will need some data to which we will fit the curve, for our examples, we will use some inbuilt data sets provided by MATLAB like вЂcarsmallвЂ™ and вЂcensusвЂ™.

#Matlab b spline fit how to#

Let us now understand how to fit a curve or a surface to data in MATLAB:

Various values which the argument вЂfitTypeвЂ™ can take are given in the table below:.

The type of model or curve to be fit is given by the argument вЂfitTypeвЂ™

fitobject = fit (a, b, fitType) is used to fit a curve to the data represented by the attributes вЂaвЂ™ and вЂbвЂ™.

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