Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

The Cox proportional hazards model restricts the log hazard ratio to be linear in the covariates. A smooth nonlinear covariate effect may go undetected in this model but can be well approximated by a ...