Create scalar valued summary features for a dataset from feature functions.
features(.tbl, .var, features, ...) features_at(.tbl, .vars, features, ...) features_all(.tbl, features, ...) features_if(.tbl, .predicate, features, ...)
The variable(s) to compute features on
A list of functions (or lambda expressions) for the features to compute.
Additional arguments to be passed to each feature.
A predicate function (or lambda expression) to be applied to the columns or a logical vector. The variables for which .predicate is or returns TRUE are selected.
Lists of available features can be found in the following pages: