qqPlotDemo {CarletonStats}

Demonstration of the normal qq-plot.

Description

Demonstrate the normal quantile-quantile plot for samples drawn from different populations.

Usage

qqPlotDemo(
  n = 25,
  distribution = "normal",
  mu = 0,
  sigma = 1,
  df = 10,
  lambda = 10,
  numdf = 10,
  dendf = 16,
  shape1 = 40,
  shape2 = 5
)

Arguments

n

sample size

distribution

population distribution. Options are "normal", "t","exponential", "chi.square", "F" or "beta" (partial matches are accepted).

mu

mean for the normal distribution.

sigma

(positive) standard deviation for the normal distribution.

df

(positive) degrees of freedom for the t-distribution.

lambda

positive rate for the exponential distribution.

numdf

(positive) numerator degrees of freedom for the chi-square distribution.

dendf

(positive) denominator degrees of freedom for the chi-square distribution.

shape1

positive parameter for the beta distribution (shape1 = a).

shape2

positive parameter for the beta distribution (shape2 = b).

Details

Draw a random sample from the chosen sample and display the normal qq-plot as well as the histogram of its distribution.

Value

Returns invisibly the random sample.

Author(s)

Laura Chihara

Examples

qqPlotDemo(n = 30, distr = "exponential", lambda = 1/3)