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. These arguments will only be passed to features which use it in their formal arguments (
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: