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.