# Extensible Framework for Data Pattern Exploration

## Documentation for package ‘nuggets’ version 2.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

add_interest | Add additional interest measures for association rules
add_interest.associations | Add additional interest measures for association rules
association_matrix | Create an association matrix from a nugget of flavour 'associations'.
bound_range | Bound a range of numeric values
cluster_associations | Cluster association rules
dig | Search for patterns of a custom type
dig_associations | Search for association rules
dig_baseline_contrasts | Search for conditions that yield in statistically significant one-sample test in selected variables.
dig_complement_contrasts | Search for conditions that provide significant differences in selected variables to the rest of the data table
dig_correlations | Search for conditional correlations
dig_grid | Search for grid-based rules
dig_paired_baseline_contrasts | Search for conditions that provide significant differences between paired variables
dig_tautologies | Find tautologies or "almost tautologies" in a dataset
explore.associations | Show interactive application to explore association rules
fire | Obtain truth-degrees of conditions
format_condition | Format a vector of predicates into a condition string
geom_diamond | Geom for drawing diamond plots of lattice structures
is_almost_constant | Test whether a vector is almost constant
is_condition | Check whether a list of character vectors contains valid conditions
is_degree | Test whether an object contains numeric values from the interval [0,1]
is_logicalish | Check if an object is logical or numeric with only 0s and 1s
is_nugget | Test whether an object is a nugget
is_subset | Determine whether one vector is a subset of another
nugget | Create a nugget object of a given flavour
parse_condition | Convert condition strings into lists of predicate vectors
partition | Convert columns of a data frame to Boolean or fuzzy sets (triangular, trapezoidal, or raised-cosine)
remove_almost_constant | Remove almost constant columns from a data frame
remove_ill_conditions | Remove invalid conditions from a list
shorten_condition | Shorten predicates within conditions
values | Extract values from predicate names
var_grid | Create a tibble of combinations of selected column names
var_names | Extract variable names from predicate names
which_antichain | Return indices of first elements of the list, which are incomparable with preceding elements.