plot.Gamma {DELTD} | R Documentation |
Density Plot by Gamma kernel
Description
Plot density by using Gamma Kernel.
Usage
## S3 method for class 'Gamma'
plot(x, ...)
Arguments
x |
an object of class "Gamma" |
... |
Not presently used in this implementation |
Value
nothing
Author(s)
Javaria Ahmad Khan, Atif Akbar.
References
Chen, S. X. 2000. Probability density function estimation using Gamma kernels. Annals of the Institute of Statistical Mathematics 52 (3), 471-480.
See Also
For further kernels see plot.Beta
, plot.Erlang
, plot.BS
and plot.LogN
. To calculate its estimated values see Gamma
and for
MSE mse
.
Examples
y <- rexp(100, 1)
h <- 1.5
xx <- seq(min(y) + 0.05, max(y), length =200)
den <- Gamma(x=xx, y=y, k=200, h=h)
plot(den, type = "l")
##other details can also be added
y <- rexp(100, 2)
h <- 0.79 * IQR(y) * length(y) ^ (-1/5)
gr <- Gamma(x=xx, y=y, k=200, h=h)
plot(gr, 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 Gamma Kernel"),
col=c("red", "black"), lty=c(1,2))
[Package DELTD version 2.6.8 Index]