Man pages for rainette
The Reinert Method for Textual Data Clustering
| clusters_by_doc_table | Returns the number of segment of each cluster for each source... |
| cluster_tab | Split a dtm into two clusters with reinert algorithm |
| cutree | Cut a tree into groups |
| cutree_rainette | Cut a rainette result tree into groups of documents |
| cutree_rainette2 | Cut a rainette2 result object into groups of documents |
| docs_by_cluster_table | Returns, for each cluster, the number of source documents... |
| import_corpus_iramuteq | Import a corpus in Iramuteq format |
| merge_segments | Merges segments according to minimum segment size |
| order_docs | return documents indices ordered by CA first axis coordinates |
| rainette | Corpus clustering based on the Reinert method - Simple... |
| rainette2 | Corpus clustering based on the Reinert method - Double... |
| rainette2_complete_groups | Complete groups membership with knn classification |
| rainette2_explor | Shiny gadget for rainette2 clustering exploration |
| rainette2_plot | Generate a clustering description plot from a rainette2... |
| rainette_explor | Shiny gadget for rainette clustering exploration |
| rainette_plot | Generate a clustering description plot from a rainette result |
| rainette_stats | Generate cluster keyness statistics from a rainette result |
| select_features | Remove features from dtm of each group base don cc_test and... |
| split_segments | Split a character string or corpus into segments |
| switch_docs | Switch documents between two groups to maximize chi-square... |
