Package index • nuggets

Data Preparation

Functions for transformation of input data into the format suitable for pattern extraction.

partition(): Convert columns of data frame to Boolean or fuzzy sets

Pre-defined Pattern Extraction

Functions for extraction of pre-defined patterns from input data.

dig_contrasts(): Search for contrast patterns

dig_correlations(): Search for conditional correlations

dig_implications(): Search for implicative rules

Custom Pattern Extraction

Functions for extraction of custom patterns from input data.

dig(): Search for rules

dig_grid(): Search for grid-based rules

Tools and Helper Functions

Other functions that can be useful in the pattern extraction process.

format_condition(): Format condition - convert a character vector to character scalar

is_degree(): Tests whether the given argument is a numeric value from the interval \([0,1]\)

is_subset(): Determine whether the first vector is a subset of the second vector

var_grid(): Create a tibble of combinations of xvar/yvar variable pairs.

which_antichain(): Return indices of first elements of the list, which are incomparable with preceding elements.