An R Introduction to Statistics


Bayesian Classification with Gaussian Process

  Despite prowess of the support vector machine, it is not specifically designed to extract features relevant to the prediction. For example, in network intrusion detection, we need to learn relevant network statistics for the network defense. In consumer credit rating, we would like to determine relevant financial records for the credit score. As for medical genetics research, we aim to identify genes relevant to the illness.

Hierarchical Cluster Analysis

  With the distance matrix found in previous tutorial, we can use various techniques of cluster analysis for relationship discovery. For example, in the data set mtcars, we can run the distance matrix with hclust, and plot a dendrogram that displays a hierarchical relationship among the vehicles.

Standardized Residual

A tutorial on the standardized residual of a simple linear regression model.

Residual Plot

A tutorial on the residual of a simple linear regression model.

Scatter Plot

A tutorial on computing the scatter plot of quantitative data in statistics.