Join Patrick Royal for an in-depth discussion in this video Statistics Toolbox, part of Up and Running with MATLAB.
Let's take a look at the MATLAB Statistics toolbox. …This toolbox contains a number of features of functions specifically …designed to work with regressions, summary statistics and probability. …This slide displays some of the most important additions. …All the regression techniques in this toolbox revolve around the linear model class. …A linear model is an object comprising of training data, a model description, …diagnostic information and fitted coefficients for linear regression.…
The most commonly used method within this class is the LinearModel.fit method. …Note that this is a class rather than a script or a function so it defines a …completely separate object. This object then has specific …subfunctions and scripts that will only work on objects of that type. …And they are called using this syntax we display here with the class name.the …model name and then the usual inputs for the model.…
The LinearModel.fit command causes it to display a linear regression model with …coefficients for the intercept and slope of the function. …
- Installing MATLAB
- Working with MATLAB variables
- Working with matrix and scalar operations
- Creating functions
- Understanding performance considerations
- Building basic plots
- Creating responsive programs
- Editing variables manually
- Working with the Statistics Toolbox
Skill Level Intermediate
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1. General Concepts
2. Core MATLAB Syntax
3. Programming in MATLAB
4. Data Representations
5. External Toolboxes
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