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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_statsThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.