dens2quantile: Function for converting Densities to Quantile Functions

In fdadensity: Functional Data Analysis for Density Functions by Transformation to a Hilbert Space

Description

Function for converting Densities to Quantile Functions

Usage

dens2quantile(
  dens,
  dSup = seq(0, 1, length.out = length(dens)),
  qSup = seq(0, 1, length.out = length(dens)),
  useSplines = TRUE
)

Arguments

dens	density on dSup
dSup	support for Density domain - max and min values mark the boundary of the support.
qSup	support for quantile domain - must begin at 0 and end at 1
useSplines	fit spline to the qd when doing the numerical integration (default: TRUE)

Value

Q quantile function on qSup

References

Functional Data Analysis for Density Functions by Transformation to a Hilbert space, Alexander Petersen and Hans-Georg Mueller, 2016

See Also

normaliseDensities

Examples

x <- seq(0,2,length.out =512)
y <- rep(0.5,length.out =512)
y.quantile <- dens2quantile(dens=y, dSup = x) # should equate # 2*seq(0, 1, length.out = 512)

fdadensity documentation built on Dec. 5, 2019, 9:07 a.m.