Descriptive statistics quantitatively describe features of a sample of data, such as the basic mean or standard deviation. Cumulative methods report a statistic as you move through the elements of an array. Moving methods report a statistic within a local window of array elements, then move to the next window.
|Minimum elements of array|
|Maximum elements of array|
|Minimum and maximum values of an array|
|Top rows in sorted order|
|Average or mean value of array|
|Median value of array|
|Most frequent values in array|
Percentiles and Quantiles
Covariance and Correlation
- Computing with Descriptive Statistics
Analyze data with basic statistics.
- Linear Correlation
Covariance and correlation coefficients help to describe the linear relationship between variables.
- Linear Regression
Least squares fitting is a common type of linear regression that is useful for modeling relationships within data.
- Interactive Fitting
The Basic Fitting UI is an interactive data modeling tool.
- Programmatic Fitting
There are many functions in MATLAB® that are useful for data fitting.