Package: archetypal 1.3.1

archetypal: Finds the Archetypal Analysis of a Data Frame

Performs archetypal analysis by using Principal Convex Hull Analysis under a full control of all algorithmic parameters. It contains a set of functions for determining the initial solution, the optimal algorithmic parameters and the optimal number of archetypes. Post run tools are also available for the assessment of the derived solution. Morup, M., Hansen, LK (2012) <doi:10.1016/j.neucom.2011.06.033>. Hochbaum, DS, Shmoys, DB (1985) <doi:10.1287/moor.10.2.180>. Eddy, WF (1977) <doi:10.1145/355759.355768>. Barber, CB, Dobkin, DP, Huhdanpaa, HT (1996) <doi:10.1145/235815.235821>. Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076>. Falk, A., Becker, A., Dohmen, T., Enke, B., Huffman, D., Sunde, U. (2018), <doi:10.1093/qje/qjy013>. Christopoulos, DT (2015) <doi:10.1016/j.jastp.2015.03.009> . Murari, A., Peluso, E., Cianfrani, Gaudio, F., Lungaroni, M., (2019), <doi:10.3390/e21040394>.

Authors:Demetris Christopoulos [aut, cre], David Midgley [ctb], Sunil Venaik [ctb], INSEAD Fontainebleau France [fnd]

archetypal_1.3.1.tar.gz
archetypal_1.3.1.zip(r-4.7)archetypal_1.3.1.zip(r-4.6)archetypal_1.3.1.zip(r-4.5)
archetypal_1.3.1.tgz(r-4.6-any)archetypal_1.3.1.tgz(r-4.5-any)
archetypal_1.3.1.tar.gz(r-4.7-any)archetypal_1.3.1.tar.gz(r-4.6-any)
archetypal_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
archetypal/json (API)

# Install 'archetypal' in R:

install.packages('archetypal', repos = c('https://dchristop.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

AbsoluteTemperature - Global Absolute Temperature data set for Northern Hemisphere 1969-2013
gallupGPS6 - Gallup Global Preferences Study processed data set of six variables
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

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.22 score 1 packages 11 scripts 309 downloads 22 exports 17 dependencies

Last updated from:5fe7dac558. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	146
source / vignettes	OK	300
linux-release-x86_64	OK	149
macos-release-arm64	OK	105
macos-oldrel-arm64	OK	114
windows-devel	OK	107
windows-release	OK	109
windows-oldrel	OK	105
wasm-release	OK	108

Exports:align_archetypes_from_list archetypal check_Bmatrix dirichlet_sample find_closer_points find_furthestsum_points find_optimal_kappas find_outmost_convexhull_points find_outmost_partitioned_convexhull_points find_outmost_points find_outmost_projected_convexhull_points find_pcha_optimal_parameters FurthestSum grouped_resample kappa_tools plot_archs plot.archetypal plot.kappa_tools plot.study_AAconvergence print.archetypal study_AAconvergence summary.archetypal

Dependencies:abind codetools doParallel entropy foreach geometry inflection iterators lattice linprog lpSolve magic Matrix misc3d plot3D Rcpp RcppProgress

Introduction to Archetypal Package

Rendered fromarchetypal.Rmdusingknitr::rmarkdown

Last update: 2024-05-24
Started: 2019-06-13

Citation

Readme and manuals

Help Manual

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

Package: archetypal 1.3.1

archetypal: Finds the Archetypal Analysis of a Data Frame

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)