Shadows for continuous distributions

This function plots shadows for any CONTINUOUS probability distribution

shadow.dist(dist = "dnorm", param = list(mean = 0, sd = 1), a = NULL,
  b = NULL, type = "lower", col.shadow = "skyblue",
  col.line = "black", lwd = 3, nbreaks = 10000, ylab = NULL, x,
  ...)

Arguments

dist	the distribution name as 'dnorm', 'dt', 'dbeta' or any pdf available in the current session. Note: only for CONTINUOUS probability distribution.
param	is a list with the parameters of the distribution.
a	is the lower limit of the shadow area.
b	is the upper limit of the shadow area.
type	is used to define the shadow are, it could be 'lower' (by default), 'upper', 'middle' or 'two' for two tails.
col.shadow	is the shadow color, by default is 'skyblue'.
col.line	is the color line for the density.
lwd	is the line width, a positive number, defaulting to 3.
nbreaks	is the number of divisions to plot the shadow, by default is 10000.
ylab	is the y label, by default is 'Density'.
x	it is nothing.
...	Arguments to be passed to methods, such as graphical parameters (see par).

Examples

# With normal distribution
shadow.dist(dist='dnorm', param=list(mean=0, sd=1),
            a=0, b=1, type='middle', from=-3, to=3)

shadow.dist(dist='dnorm', param=list(mean=0, sd=1),
            a=0, type='lower', from=-3, to=3)

shadow.dist(dist='dnorm', param=list(mean=0, sd=1),
            b=1, type='upper', from=-3, to=3)

shadow.dist(dist='dnorm', param=list(mean=0, sd=1),
            a=0, b=1, type='two', from=-3, to=3)

# With chi-square distribution
shadow.dist(dist='dchisq', param=list(df=2),
            a=2, b=6, type='middle', from=0, to=10, col.shadow='pink')

# With t distribution
shadow.dist(dist='dt', param=list(df=2),
            a=-2, b=2, type='middle', from=-5, to=5, col.shadow='tomato')

# With beta distribution
shadow.dist(dist='dbeta', param=list(shape1=2, shape2=5),
            a=0.2, b=0.6, type='middle', nbreaks=3, main='nbreaks=3, opps!!!')

shadow.dist(dist='dbeta', param=list(shape1=2, shape2=5),
            a=0.2, b=0.6, type='middle', nbreaks=20)