Formal Concept Analysis
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Documentation for package ‘fcaR’ version 2.1.0
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| %&% | 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 |