stepArchetypesRawData_norm_frob {adamethods} | R Documentation |
Archetype algorithm to raw data with the Frobenius norm
Description
This is a slight modification of stepArchetypesRawData
to use the archetype algorithm with the Frobenius norm.
Usage
stepArchetypesRawData_norm_frob(data, numArch, numRep = 3,
verbose = TRUE, saveHistory = FALSE)
Arguments
data |
Data to obtain archetypes. |
numArch |
Number of archetypes to compute, from 1 to |
numRep |
For each |
verbose |
If TRUE, the progress during execution is shown. |
saveHistory |
Save execution steps. |
Value
A list with the archetypes.
Author(s)
Irene Epifanio
References
Eugster, M.J.A. and Leisch, F., From Spider-Man to Hero - Archetypal Analysis in R, 2009. Journal of Statistical Software 30(8), 1-23, https://doi.org/10.18637/jss.v030.i08
Moliner, J. and Epifanio, I., Robust multivariate and functional archetypal analysis with application to financial time series analysis, 2019. Physica A: Statistical Mechanics and its Applications 519, 195-208. https://doi.org/10.1016/j.physa.2018.12.036
Vinue, G., Epifanio, I., and Alemany, S., Archetypoids: a new approach to define representative archetypal data, 2015. Computational Statistics and Data Analysis 87, 102-115, https://doi.org/10.1016/j.csda.2015.01.018
Vinue, G., Anthropometry: An R Package for Analysis of Anthropometric Data, 2017. Journal of Statistical Software 77(6), 1-39, https://doi.org/10.18637/jss.v077.i06
See Also
stepArchetypesRawData
,
stepArchetypes
Examples
data(mtcars)
data <- as.matrix(mtcars)
numArch <- 5
numRep <- 2
lass <- stepArchetypesRawData_norm_frob(data = data, numArch = 1:numArch,
numRep = numRep, verbose = FALSE)
str(lass)
length(lass[[1]])
class(lass[[1]])