B C D G H I L M O P R S T U V W Z misc
| bertinplot | Plot a Bertin Matrix |
| bertin_cut_line | Plot a Bertin Matrix |
| bluered | Different Useful Color Palettes |
| blues | Different Useful Color Palettes |
| c.ser_permutation | Class ser_permutation - A Collection of Permutation Vectors for Seriation |
| c.ser_permutation_vector | Class ser_permutation_vector - A Single Permutation Vector for Seriation |
| Chameleon | 2D Data Sets used for the CHAMELEON Clustering Algorithm |
| chameleon | 2D Data Sets used for the CHAMELEON Clustering Algorithm |
| chameleon_ds4 | 2D Data Sets used for the CHAMELEON Clustering Algorithm |
| chameleon_ds5 | 2D Data Sets used for the CHAMELEON Clustering Algorithm |
| chameleon_ds7 | 2D Data Sets used for the CHAMELEON Clustering Algorithm |
| chameleon_ds8 | 2D Data Sets used for the CHAMELEON Clustering Algorithm |
| colors | Different Useful Color Palettes |
| create_lines_data | Create Simulated Data for Seriation Evaluation |
| create_ordered_data | Create Simulated Data for Seriation Evaluation |
| criterion | Criterion for a Loss/Merit Function for Data Given a Permutation |
| criterion.array | Criterion for a Loss/Merit Function for Data Given a Permutation |
| criterion.data.frame | Criterion for a Loss/Merit Function for Data Given a Permutation |
| criterion.dist | Criterion for a Loss/Merit Function for Data Given a Permutation |
| criterion.matrix | Criterion for a Loss/Merit Function for Data Given a Permutation |
| criterion.table | Criterion for a Loss/Merit Function for Data Given a Permutation |
| DendSer | Register Seriation Methods from Package DendSer |
| dendser | Register Seriation Methods from Package DendSer |
| dissplot | Dissimilarity Plot |
| GA | Register a Genetic Algorithm Seriation Method |
| ga | Register a Genetic Algorithm Seriation Method |
| gaperm_mixedMutation | Register a Genetic Algorithm Seriation Method |
| get_config | Fit an Unidimensional Scaling for a Seriation Order |
| get_criterion_method | Registry for Criterion Methods |
| get_method | Class ser_permutation_vector - A Single Permutation Vector for Seriation |
| get_order | Extracting Order Information from a Permutation Object |
| get_order.dendrogram | Extracting Order Information from a Permutation Object |
| get_order.hclust | Extracting Order Information from a Permutation Object |
| get_order.integer | Extracting Order Information from a Permutation Object |
| get_order.numeric | Extracting Order Information from a Permutation Object |
| get_order.ser_permutation | Extracting Order Information from a Permutation Object |
| get_order.ser_permutation_vector | Extracting Order Information from a Permutation Object |
| get_permutation_matrix | Extracting Order Information from a Permutation Object |
| get_rank | Extracting Order Information from a Permutation Object |
| get_seriation_method | Registry for Seriation Methods |
| ggbertinplot | Plot a Bertin Matrix |
| ggdissplot | Dissimilarity Plot |
| gghmap | Plot Heat Map Reordered Using Seriation |
| ggiVAT | Visual Analysis for Cluster Tendency Assessment (VAT/iVAT) |
| ggpimage | Permutation Image Plot |
| ggpimage.dist | Permutation Image Plot |
| ggpimage.matrix | Permutation Image Plot |
| ggVAT | Visual Analysis for Cluster Tendency Assessment (VAT/iVAT) |
| grays | Different Useful Color Palettes |
| greenred | Different Useful Color Palettes |
| greens | Different Useful Color Palettes |
| greys | Different Useful Color Palettes |
| hmap | Plot Heat Map Reordered Using Seriation |
| Irish | Irish Referendum Data Set |
| is.robinson | Create and Recognize Robinson and Pre-Robinson Matrices |
| iVAT | Visual Analysis for Cluster Tendency Assessment (VAT/iVAT) |
| length.ser_permutation_vector | Class ser_permutation_vector - A Single Permutation Vector for Seriation |
| list_criterion_methods | Registry for Criterion Methods |
| list_seriation_methods | Registry for Seriation Methods |
| LLE | Locally Linear Embedding (LLE) |
| lle | Locally Linear Embedding (LLE) |
| LS | Neighborhood functions for Seriation Method SA |
| LS_insert | Neighborhood functions for Seriation Method SA |
| LS_mixed | Neighborhood functions for Seriation Method SA |
| LS_reverse | Neighborhood functions for Seriation Method SA |
| LS_swap | Neighborhood functions for Seriation Method SA |
| MDS_stress | Fit an Unidimensional Scaling for a Seriation Order |
| Munsingen | Hodson's Munsingen Data Set |
| OPTICS | Register Seriation Based on OPTICS |
| optics | Register Seriation Based on OPTICS |
| palette | Different Useful Color Palettes |
| panel.bars | Plot a Bertin Matrix |
| panel.blocks | Plot a Bertin Matrix |
| panel.circles | Plot a Bertin Matrix |
| panel.lines | Plot a Bertin Matrix |
| panel.rectangles | Plot a Bertin Matrix |
| panel.squares | Plot a Bertin Matrix |
| panel.tiles | Plot a Bertin Matrix |
| path_dist | Visual Analysis for Cluster Tendency Assessment (VAT/iVAT) |
| permutation_matrix2vector | Conversion Between Permutation Vector and Permutation Matrix |
| permutation_vector2matrix | Conversion Between Permutation Vector and Permutation Matrix |
| permute | Permute the Order in Various Objects |
| permute.array | Permute the Order in Various Objects |
| permute.character | Permute the Order in Various Objects |
| permute.data.frame | Permute the Order in Various Objects |
| permute.dendrogram | Permute the Order in Various Objects |
| permute.dist | Permute the Order in Various Objects |
| permute.hclust | Permute the Order in Various Objects |
| permute.list | Permute the Order in Various Objects |
| permute.matrix | Permute the Order in Various Objects |
| permute.numeric | Permute the Order in Various Objects |
| permute.table | Permute the Order in Various Objects |
| pimage | Permutation Image Plot |
| pimage.data.frame | Permutation Image Plot |
| pimage.dist | Permutation Image Plot |
| pimage.matrix | Permutation Image Plot |
| pimage.table | Permutation Image Plot |
| plot.reordered_cluster_dissimilarity_matrix | Dissimilarity Plot |
| plot_config | Fit an Unidimensional Scaling for a Seriation Order |
| print.criterion_method | Registry for Criterion Methods |
| print.reordered_cluster_dissimilarity_matrix | Dissimilarity Plot |
| print.seriation_method | Registry for Seriation Methods |
| print.ser_permutation | Class ser_permutation - A Collection of Permutation Vectors for Seriation |
| print.ser_permutation_vector | Class ser_permutation_vector - A Single Permutation Vector for Seriation |
| Psych24 | Results of 24 Psychological Test for 8th Grade Students |
| random.robinson | Create and Recognize Robinson and Pre-Robinson Matrices |
| reds | Different Useful Color Palettes |
| registersmacof | Register Seriation Methods from Package smacof |
| register_DendSer | Register Seriation Methods from Package DendSer |
| register_GA | Register a Genetic Algorithm Seriation Method |
| register_optics | Register Seriation Based on OPTICS |
| register_smacof | Register Seriation Methods from Package smacof |
| register_tsne | Register Seriation Based on 1D t-SNE |
| register_umap | Register Seriation Based on 1D UMAP |
| registry_criterion | Registry for Criterion Methods |
| registry_for_criterion_methods | Registry for Criterion Methods |
| registry_for_seriation_methods | Registry for Seriation Methods |
| registry_seriate | Registry for Seriation Methods |
| reorder | Reorder Dendrograms using Optimal Leaf Ordering |
| reorder.hclust | Reorder Dendrograms using Optimal Leaf Ordering |
| rev.ser_permutation_vector | Class ser_permutation_vector - A Single Permutation Vector for Seriation |
| Robinson | Create and Recognize Robinson and Pre-Robinson Matrices |
| robinson | Create and Recognize Robinson and Pre-Robinson Matrices |
| seriate | Seriate Dissimilarity Matrices, Matrices or Arrays |
| seriate.array | Seriate Dissimilarity Matrices, Matrices or Arrays |
| seriate.data.frame | Seriate Dissimilarity Matrices, Matrices or Arrays |
| seriate.dist | Seriate Dissimilarity Matrices, Matrices or Arrays |
| seriate.matrix | Seriate Dissimilarity Matrices, Matrices or Arrays |
| seriate.table | Seriate Dissimilarity Matrices, Matrices or Arrays |
| seriate_best | Best Seriation |
| seriate_improve | Best Seriation |
| seriate_rep | Best Seriation |
| ser_align | Dissimilarities and Correlations Between Seriation Orders |
| ser_cor | Dissimilarities and Correlations Between Seriation Orders |
| ser_dist | Dissimilarities and Correlations Between Seriation Orders |
| ser_permutation | Class ser_permutation - A Collection of Permutation Vectors for Seriation |
| ser_permutation_vector | Class ser_permutation_vector - A Single Permutation Vector for Seriation |
| set_criterion_method | Registry for Criterion Methods |
| set_seriation_method | Registry for Seriation Methods |
| smacof | Register Seriation Methods from Package smacof |
| summary.ser_permutation | Class ser_permutation - A Collection of Permutation Vectors for Seriation |
| summary.ser_permutation_vector | Class ser_permutation_vector - A Single Permutation Vector for Seriation |
| SupremeCourt | Voting Patterns in the Second Rehnquist U.S. Supreme Court |
| Townships | Bertin's Characteristics of Townships |
| tSNE | Register Seriation Based on 1D t-SNE |
| tsne | Register Seriation Based on 1D t-SNE |
| umap | Register Seriation Based on 1D UMAP |
| uniscale | Fit an Unidimensional Scaling for a Seriation Order |
| VAT | Visual Analysis for Cluster Tendency Assessment (VAT/iVAT) |
| Wood | Gene Expression Data for Wood Formation in Poplar Trees |
| Zoo | Zoo Data Set |
| [.ser_permutation | Class ser_permutation - A Collection of Permutation Vectors for Seriation |