R: Formal Concept Analysis

# Formal Concept Analysis

## Documentation for package ‘fcaR’ version 2.1.0

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

## Help Pages

%&% | Intersection (Logical AND) of Fuzzy Sets
%-% | Difference in Sets
%<=% | Partial Order in Sets and Concepts
%==% | Equality in Sets and Concepts
%entails% | Entailment between implication sets
%holds_in% | Implications that hold in a Formal Context
%or% | Union (Logical OR) of Fuzzy Sets
%respects% | Check if Set or FormalContext respects an ImplicationSet
%|% | Union (Logical OR) of Fuzzy Sets
%~% | Equivalence of sets of implications
arrange.RuleSet | dplyr verbs for RuleSet
as_Set | Convert Named Vector to Set
as_vector | Convert Set to vector
attribute_set | Build an attribute 'Set' from names
BondLattice | R6 class for a Bond Lattice
bonds | Compute bonds between two formal contexts
bonds_mcis | Compute bonds via MCIS (backtracking on pre-computed concepts)
bonds_standard | Compute bonds via standard implication-based method
calculate_density | Calculate Fuzzy Density
calculate_grades | Calculate Concept Grades (Levels)
calculate_separation | Calculate Concept Separation
calculate_stability | Calculate Concept Stability
cobre32 | Data for Differential Diagnosis for Schizophrenia
cobre61 | Data for Differential Diagnosis for Schizophrenia
compute_labels_and_colors | Compute Labels and Colors for Lattice Nodes
Concept | R6 class for a fuzzy concept with sparse internal representation
ConceptLattice | R6 class for a concept lattice
conceptRegistry | Concept Miners Registry
ConceptSet | R6 class for a set of concepts
context_from_json | Import FormalContext from JSON
dplyr_rules | dplyr verbs for RuleSet
dplyr_verbs | dplyr verbs for FormalContext
equivalencesRegistry | Equivalence Rules Registry
export_to_tikz | Export Layout to TikZ (LaTeX)
fcaR_options | Set or get options for fcaR
fetch_context | Fetch a Formal Context from the FCA Repository
find_causal_rules | Causal Association Rules
FormalContext | R6 class for a formal context
get_fcarepository_contexts | Get Metadata from the FCA Repository
guesswho | Data for Guess Who Board Game
ImplicationSet | R6 class for an Implication Set
implications_from_json | Import ImplicationSet from JSON
is_bond | Verify if a relation is a bond between two formal contexts
iterative_recommender | Iterative closure recommender (Simplification Logic)
lattice_from_json | Import ConceptLattice from JSON
lattice_plot | Plot Concept Lattice
object_set | Build an object 'Set' from names
parse_implication | Parses a string into an implication
parse_implications | Parses several implications given as a string
planets | Planets data
print.tikz_code | Print TikZ Code
print_repo_details | Print Details of Repository Contexts
RandomContext | Generate Random Formal Contexts
RandomDistributiveContext | Generate a Random Distributive Context
randomize_context | Randomize an Existing Formal Context
recommendation_table | Pretty table of recommendation scores
RuleSet | R6 class for a Rule Set
rules_from_json | Import RuleSet from JSON
run_fcaRviz | Launch the fcaRviz Interactive Viewer
save_tikz | Save TikZ Code to File
scalingRegistry | Scaling Registry
select.FormalContext | dplyr verbs for FormalContext
select_repository_context | GUI to select and download a context from the repository
Set | R6 class for a fuzzy set with sparse internal representation
vegas | Data for Tourist Destination in Las Vegas