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_explor
rainette2
rainette_stats