# Finds the Archetypal Analysis of a Data Frame

## Documentation for package ‘archetypal’ version 1.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

archetypal-package | Finds the Archetypal Analysis of a Data Frame
AbsoluteTemperature | Global Absolute Temperature data set for Northern Hemisphere 1969-2013
align_archetypes_from_list | Align archetypes from a list either by the most frequent found or by using a given archetype
archetypal | archetypal: Finds the archetypal analysis of a data frame by using a variant of the PCHA algorithm
check_Bmatrix | Function which checks B matrix of Archetypal Analysis Y ~ A B Y in order to find the used rows for creating each archetype and the relevant used weights.
dirichlet_sample | Function which performs Dirichlet sampling
find_closer_points | Function which finds the data points that are closer to the archetypes during all iterations of the algorithm PCHA
find_furthestsum_points | Function which finds the furthest sum points in order to be used as initial solution in archetypal analysis
find_optimal_kappas | Function for finding the optimal number of archetypes
find_outmost_convexhull_points | Function which finds the outermost convex hull points in order to be used as initial solution in archetypal analysis
find_outmost_partitioned_convexhull_points | Function which finds the outermost convex hull points after making np samples and finding convex hull for each of them.
find_outmost_points | Function which finds the outermost points in order to be used as initial solution in archetypal analysis
find_outmost_projected_convexhull_points | Function which finds the outermost projected convex hull points in order to be used as initial solution in archetypal analysis
find_pcha_optimal_parameters | Finds the optimal updating parameters to be used for the PCHA algorithm
FurthestSum | Application of FurthestSum algorithm in order to find an initial solution for Archetypal Analysis
gallupGPS6 | Gallup Global Preferences Study processed data set of six variables
grouped_resample | Function for performing simple or Dirichlet resampling
study_AAconvergence | Function which studies the convergence of Archetypal Analysis when using the PCHA algorithm
wd2 | 2D data set for demonstration purposes
wd25 | 2D data set created by 5 points for demonstration purposes
wd3 | 3D data set for demonstration purposes