plot.kde1d: Plotting kde1d objects

In kde1d: Univariate Kernel Density Estimation

Plotting kde1d objects

Description

Plotting kde1d objects

Usage

## S3 method for class 'kde1d'
plot(x, ...)

## S3 method for class 'kde1d'
lines(x, ...)

Arguments

x	kde1d object.
...	further arguments passed to plot.default()

See Also

kde1d()

Examples

## continuous data
x <- rbeta(100, shape1 = 0.3, shape2 = 0.4) # simulate data
fit <- kde1d(x) # unbounded estimate
plot(fit, ylim = c(0, 4)) # plot estimate
curve(dbeta(x, 0.3, 0.4), # add true density
  col = "red", add = TRUE
)
fit_bounded <- kde1d(x, xmin = 0, xmax = 1) # bounded estimate
lines(fit_bounded, col = "green")

## discrete data
x <- rpois(100, 3) # simulate data
x <- ordered(x, levels = 0:20) # declare variable as ordered
fit <- kde1d(x) # estimate density
plot(fit, ylim = c(0, 0.25)) # plot density estimate
points(ordered(0:20, 0:20), # add true density values
  dpois(0:20, 3),
  col = "red"
)

kde1d documentation built on Sept. 16, 2022, 5:08 p.m.