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print.archetypal()
It prints the output of
archetypal()summary.archetypal()
It gives a summary for the output
of archetypal()plot.archetypal()
It makes a plot of the archetypes
creating after using archetypal()plot.kappa_tools()
It makes a plot of the results
created after using kappa_tools()plot.study_AAconvergence()
It makes a plot of the
results created after using study_AAconvergence()plot_archs()
plots a matrix or data frame of
archetypeskappa_tools()
computes a set of proxies for the
dimensionalityfind_pcha_optimal_parameters()
finds the optimal
parameters to be used for PCHA algorithm.find_closer_points()
finds the data points that are
closer to the archetypes during all iterations of algorithm PCHA.study_AAconvergence()
studies the convergence of
Archetypal Analysis when using algorithm PCHA.grouped_resample()
performs simple or Dirichlet
resampling.dirichlet_sample()
performs Dirichlet sampling.Absolute Temperature
the Global Absolute Temperature
data set for Northern Hemisphere 1969-gallupGPS6
the Gallup Global Preferences Study
processed data set of six variables.
wd25
a 2D data set created by 5 points for
demonstration purposes.
find_outmost_projected_convexhull_points
changes its
n
argument to npr
and has new arguments
rseed
, doparallel
, nworkers
and
uniquerows
.check_Bmatrix
changes its print.details
argument to verbose
.find_furthestsum_points
changes its
nworkers = 10
argument to nworkers = NULL
and
has new argument doparallel
.align_archetypes_from_list
has a new argument
verbose
.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.
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