fcenLR: fcenLR transformation (functional)

In robCompositions: Compositional Data Analysis

fcenLR transformation (functional)

Description

fcenLR[lambda] transformation: mapping from B^2(lambda) into L^2(lambda)

Usage

fcenLR(z, z_step, density)

Arguments

z	grid of points defining the abscissa
z_step	step of the grid of the abscissa
density	grid evaluation of the lambda-density

Value

out	grid evaluation of the lambda-density in L^2(lambda)

Author(s)

R. [e-mail], A. Menafoglio, K. [e-mail], J. J. Egozcue, J. Palarea-Albaladejo

References

Talska, R., Menafoglio, A., Hron, K., Egozcue, J. J., Palarea-Albaladejo, J. (2020). Weighting the domain of probability densities in functional data analysis.Stat(2020). https://doi.org/10.1002/sta4.283

Examples

# Example (normal density)
t = seq(-4.7,4.7, length = 1000)
t_step = diff(t[1:2])

mean = 0; sd = 1.5
f = dnorm(t, mean, sd)
f1 = f/trapzc(t_step,f)

f.fcenLR = fcenLR(t,t_step,f) 
f.fcenLRinv = fcenLRinv(t.fine,t_step,f.fcenLR)

plot(t,f.fcenLR, type="l",las=1, ylab="fcenLR(density)", 
  cex.lab=1.2,cex.axis=1.2, col="darkblue",lwd=2)
abline(h=0, col="red")

plot(t,f.fcenLRinv, type="l",las=1, 
  ylab="density",cex.lab=1.2,cex.axis=1.2, col="darkblue",lwd=2,lty=1)
lines(t,f1,lty=2,lwd=2,col="gold")   

robCompositions documentation built on Aug. 25, 2023, 5:13 p.m.