plot.distrFunc: plot.distrFunc

In sigbertklinke/mmstat: Support for the development of interactive Shiny apps

Description

Plots a distribution function. For a discrete distribution a needle plot (mass) or an stepwise function (distributiion, quantile) is used. For a continuous distribution simple lines are used. Since internally points and lines is used, the further drawing parameters relate to that.

Usage

## S3 method for class 'distrFunc'
plot(x, add = F, xlim = NULL, ylim = NULL,
  cex.lettering = 1, n = 501, ...)

Arguments

x	distribution function object
add	logical: add to current plot (default: add=F)
xlim	range: plotting area (default: NULL)
ylim	range: plotting area (default: NULL)
cex.lettering	numeric: magnification size for fonts used (default: 1)
n	numeric: number of points used to draw the curve (default: 201)
...	further drawing parameter, e.g color etc.

Examples

## Standard normal distribution (continuous)
# density
d <- distrFunc("norm")
plot(d)
# distribution
d <- distrFunc("norm", func="p")
plot(d)
# quantile
d <- distrFunc("norm", func="q")
plot(d)
## Geometric distribution (continuous)
# density
d <- distrFunc("geom", prob=0.5)
plot(d)
# distribution
d <- distrFunc("geom", prob=0.5, func="p")
plot(d)
# quantile
d <- distrFunc("geom", prob=0.5, func="q")
plot(d)

sigbertklinke/mmstat documentation built on May 14, 2019, 8:36 a.m.