Last data update: 2014.03.03
|
R: Plot Parametric Density Functions
Plot Parametric Density Functions
Description
These are utilities for pretty plotting of often used parametric
densities.
Usage
p.dnorm (mu = 0, s = 1, h0.col = "light gray",
ms.lines = TRUE, ms.col = "gray", ...)
p.dchisq(nu, h0.col = "light gray", ...)
p.dgamma(shape, h0.col = "light gray", ...)
Arguments
mu,s |
numbers, the mean and standard deviation of the normal
distribution.
|
nu |
positive number, the degrees of freedom df argument
for the chi^2-density function dchisq .
|
shape |
number, the shape parameter for the Gamma
distribution.
|
h0.col |
color specification for the line y = 0.
|
ms.lines |
logical, used for the normal only: should lines be
drawn at the mean and +- 1 standard deviation.
|
ms.col |
color for the ms lines if ms.lines is TRUE.
|
... |
further parameter passed to curve() , e.g.,
add = TRUE for adding to current plot.
|
Author(s)
Werner Stahel et al.
See Also
the underlying density functions,
dnorm , dchisq , dgamma .
Examples
p.dnorm()
p.dnorm(mu=1.5, add = TRUE, ms.lines = FALSE) # add to the plot above
p.dchisq(2, main= "Chi^2 Densities -- nu = 2,3,4")
p.dchisq(3, add = TRUE, col = "red")
p.dchisq(4, add = TRUE, col = "blue")
op <- par(mfrow = c(2,2), mgp = c(1.6, 0.6,0), mar = c(3,3,1,1))
for(sh in 1:4)
p.dgamma(sh)
par(op)
Results
|