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One workflow for the three analyses: the analysis,
interpret() for its axes, ggfacto() for its
graph, hierarchical_clust() for its clusters. See the
guide: https://bricenocenti.github.io/ggfacto/articles/ggfacto.html.
multiple_correspondence_analysis(),
principal_component_analysis(),
correspondence_analysis() (from a
tabxplor::tab()): the analyses, weights and variables
selected as in tab().interpret(): the table of an analysis’ axes, with its
eigenvalues below; eigenvalues() alone.ggfacto(): the graph of any of the three analyses;
ggpca(), the individuals of a PCA and its biplot.hierarchical_clust(): HCPC()’s clusters,
in linear memory, written into the data with mutate();
clust_tab() describes them.axis_coord(), is_in_analysis(): an
analysis’ coordinates, and its population, back into the data.
name_axes() names the axes on graphs and tables.excl = takes exact level names; missing answers become
<VAR>.NA levels, excluded by default (specific
MCA).filter = analyses a subset; the whole data frame is
then passed to every later function.clust =, names =,
interactive =, lang =;
options(ggfacto.widget_dir) writes widgets to their own
file in documents.profiles = TRUE and
active_tables = "active" are the defaults: the crosstables
of the Burt table are in the tooltips.MCA2() keeps the 0.3.2 fit on
individuals.HCPC_tab() (use clust_tab()), the
cah and dat arguments (use clust
and data), and %>% are
soft-deprecated.pers_or_plot() is removed;
ggi(iframe =, pixel_width =) are ignored.Frequency line of a tooltip could exceed 100
%.y/n disappeared
from the graphs and tables.tabxplor::
version 1.2.1HCPC_tab() was not working well with numeric
variables.HCPC_tab()ggmca_initial_dims()ggmca_with_base_ref()ggmca_3d()PCA2()pca_interpret()ggpca_cor_circle()ggpca_3d()mean_sd_tab()ggmca() can now properly color profiles of answer with
cah (HCPC clusters) levels.reverse_axes in ggmca() to
invert left and right or up and down.mca_interpret was not working with
MCA(excl = )ggmca, profiles of answers were plain wrong (because
of the unanticipated results of a change in code)These 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.
Health stats visible at Monitor.