Cumulative distribution function

This function plots the cumulative distribution function (c.d.f) of a random variable

Usage

cdf(
  x,
  Fx = NULL,
  type = c("discrete", "continuous"),
  dist = c("binom", "pois", "geom", "unif", "exp", "norm"),
  ...
)

Arguments

x: a numeric vector with the observed values of the random variable
Fx: if NULL (default), then Fx is computed using one of the implemented distributions (see description of the dist argument below); otherwise the user must pass the values of Fx
type: type of random variable; either discrete (default) or continuous; this argument is only necessary when Fx is passed by the user
dist: optional; name of the distribution (currently the binomial, poisson and geometric distributions for discrete random variables, or uniform, exponential and normal distribution for continuous random variables)
...: further arguments passed to or from other methods

Value

the desired plot of the cumulative distribution function

Examples

# \donttest{

# binomial:
x <- 0:10
cdf(x, dist = "binom", size = 10, prob = 0.7)


# normal:
x <- rnorm(100, mean = 10, sd = 2)
cdf(x, dist = "norm", mean = 10, sd = 2)

# }