qd2dens {fdadensity} | R Documentation |
Function for converting Quantile Densities to Densities
Description
Function for converting Quantile Densities to Densities
Usage
qd2dens(
qd,
qdSup = seq(0, 1, length.out = length(qd)),
dSup,
useSplines = TRUE
)
Arguments
qd |
quantile density on qdSup |
qdSup |
support for quantile domain - must begin at 0 and end at 1 (default = seq(0, 1, length.out = length(qd))) |
dSup |
support for Density domain - max and min values mark the boundary of the support. |
useSplines |
fit spline to the qd when doing the numerical integration (default: TRUE) |
Value
dens density values on dSup
References
Functional Data Analysis for Density Functions by Transformation to a Hilbert space, Alexander Petersen and Hans-Georg Mueller, 2016
Examples
x <- seq(0,1,length.out =512)
y <- rep(2,length.out =512)
y.dens <- qd2dens(qd=y, qdSup = x, dSup = seq(0, 2, length.out = 512)) # should equate # 1/2
[Package fdadensity version 0.1.2 Index]