clusters_by_doc_table |
Returns the number of segment of each cluster for each source document |
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 with at least n segments of this cluster |
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 clustering |
rainette2 |
Corpus clustering based on the Reinert method - Double clustering |
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 result |
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 tsj |
split_segments |
Split a character string or corpus into segments |
split_segments.character |
Split a character string or corpus into segments |
split_segments.Corpus |
Split a character string or corpus into segments |
split_segments.corpus |
Split a character string or corpus into segments |
split_segments.tokens |
Split a character string or corpus into segments |
switch_docs |
Switch documents between two groups to maximize chi-square value |