Compute descriptive statistics from sample data, including measures of central tendency, dispersion, shape, correlation, and covariance. Tabulate and cross-tabulate data, and compute summary statistics for grouped data.
Central Tendency and Dispersion
Ranges, Percentiles, and z-Scores
Correlation and Covariance
|Linear or rank correlation|
|Robust multivariate covariance and mean estimate|
|Cholesky-like covariance decomposition|
|Convert covariance matrix to correlation matrix|
|Linear or rank partial correlation coefficients|
|Partial correlation coefficients adjusted for internal variables|
|Compute nearest correlation matrix by minimizing Frobenius distance|
Explore the distribution of data using descriptive statistics.
Locate a distribution of data along an appropriate scale.
Find out how spread out the data values are on the number line.
Learn how the Statistics and Machine Learning Toolbox™ computes quantiles and percentiles.
Grouping variables are utility variables used to group or categorize observations.