vctrs versioncolors argument to rainette_plot() to allow to specify custom colors for clusters (#37, thanks @lvaudor)palette.colors() with manual colors vector to ensure compatibility with R 3.6 (#11)Rework of the double classification computation :
full argument to rainette2(). If TRUE (default, same behavior as previous versions), all crossings between groups of the two single classifications are taken into account to find the best partition. If FALSE, only the crossings with maximal associations are kept.parallel argument to rainette2() to compute partitions with mclapply (FALSE by default, won't work on Windows, uses more RAM)rainette2() computations, with added progress bars to better estimate long runsrainette_plot() and rainette2_plot() if they are called with type = "cloud".show_na_title, cluster_label and keyness_plot_xlab arguments to rainette_plot() to customize graphics outputrainette_explor and rainette2_explor when a cluster dfm is emptymin_uc_size, uc_size1 and uc_size2 arguments to rainette and rainette2 have been renamed to min_segment_size, min_segment_size1 and min_segment_size2.min_segment_size in rainette is now 0, which means that no merging is done between segments by default. Results could then be different from previous package versions when min_uc_size was not specified.min_segment_size was not handled correctly in the previous versions regarding the segment sources, as segments from different documents could be merged together. This should now be fixed.rainette_explor and rainette2_explor.clusters_by_doc_table which gives the number of segments of each cluster for each document.docs_by_cluster_table which gives, for each cluster, the number of documents with at least one segment in this cluster.split_segments should now be about 4 times faster.rainette is called with min_segment_size > 0, a doc_id argument must be given which is the name of a dtm docvar identifying the segments source. If the corpus has been produced by split_segments, the added segment_source docvar is used by default.rainette_explor, rainette2_explor, rainette_plot and rainette2_plot.min_split_members < 3.rainette_explor is called on a rainette2 results object, rainette2_explor is launched automatically.rainette_explorrainette2rainette_stats