plotgradient: Plot Gradient Curve

In cnmlcd: Maximum Likelihood Estimation of a Log-Concave Density Function

Description

Plots the gradient curve that corresponds to a log-concave dnesity and a data set.

Usage

plotgradient(lcd, x, w = NULL, col="blue", knotcol=col, pch=1,
             lwd=1, lty=1, ...)

Arguments

lcd	an object of class lcd.
x	a vector storing the observations.
w	a vector of frequencies (weights) of values stored in x. If w=NULL, w = 1 is used for each value in x.
col	color of lines.
knotcol	color of knots.
pch	point type for knots.
lwd	width for the gradient curve.
lty	line type for the gradient curve.
...	further arguments passed to or from other methods.

See Also

cnmlcd, lcd, new.lcd, x.weight.

Examples

data(logreturn)
r = cnmlcd(logreturn)
plot(r$lcd, logreturn)            # Density
plotgradient(r$lcd, logreturn)    # Gradient

cnmlcd documentation built on May 1, 2019, 10:55 p.m.