Gaussian distribution quantile-quantile plot

Description

This function creates a quantile-quantile plot to assess the goodness of fit of a Gaussian distribution to a given sample.

Usage

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Arguments

data

List of data points to check

...

The plot is created using ggplot2. This special parameter can be used to pass additional parameters to the geom_point function used to plot the sample points.

Value

A ggplot object.

See Also

plotDensities

Examples

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## Skewed distribution
sample <- rbeta(100 , 2 , 50)
qqplotGaussian(sample)
## Symmetric distribution
sample <- rbeta(100 , 5 , 5)
qqplotGaussian(sample)

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