plot.Laplace: Density Plot by Laplace kernel

In AsyK: Kernel Density Estimation

Description

Plot density by using Laplace Kernel.

Usage

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

Arguments

x	an object of class "Laplace"
...	Not presently used in this implementation

Value

nothing

Author(s)

Javaria Ahmad Khan, Atif Akbar.

References

Khan, J. A.; Akbar, A. Density Estimation by Laplace Kernel. Working paper, Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan.

See Also

To examine Laplace estimated values for density see Laplace and for Mean Squared Error mse. Similarly, for plot of Laplace kernel plot.RIG.

Examples

y <- rexp(100, 1)
h <- 0.79 * IQR(y) * length(y) ^ (-1/5)
xx <- seq(min(y) + 0.05, max(y), length = 100)
den <- Laplace(x = xx, y = y, k = 100, h = h)
plot(den, type = "l")


##other details can also be added
y <- rexp(100, 1)
h <- 0.79 * IQR(y) * length(y) ^ (-1/5)
den <- Laplace(x = xx, y = y, k = 100, h = h)
plot(den, type = "s", ylab = "Density Function", lty = 1, xlab = "Time")

## To add true density along with estimated
d1 <- density(y, bw = h)
lines(d1, type = "p", col = "red")
legend("topright", c("Real Density", "Density by RIG Kernel"),
col = c("red", "black"), lty = c(1, 2))

AsyK documentation built on Dec. 11, 2021, 10:07 a.m.