ggqq
Easy ggplot QQ plot
This function creates a qqplot with a confidence interval.
 Keywords
 hplot
Usage
ggqq(x, distribution = "norm", ..., ci = TRUE, line.estimate = NULL, conf.level = 0.95, sampleSizeOverride = NULL, xlab = "Theoretical quantiles", ylab = "Observed quantiles", theme = theme_bw())
Arguments
 x
 A vector containing the values to plot.
 distribution

The distribution to (a 'd' and 'q' are prepended, and the resulting functions are used, e.g.
dnorm
andqnorm
for the normal curve).  ...

Any additional arguments are passed to the quantile function (e.g.
qnorm
). Because of these dots, any following arguments must be named explicitly.  ci
 Whether to show the confidence interval.
 line.estimate
 Whether to show the line showing the match with the specified distribution (e.g. the normal distribution).
 conf.level
 THe confidence of the confidence leven arround the estimate for the specified distribtion.
 sampleSizeOverride

It can be desirable to get the confidence intervals for a different sample size (when the sample size is very large, for example, such as when this plot is generated by the function
normalityAssessment
). That different sample size can be specified here.  xlab
 The label for the X axis.
 ylab
 The label for the Y axis.
 theme
 The theme to use.
Details
This is strongly based on the answer by user Floo0 to a Stack Overflow question at Stack Exchange (see http://stackoverflow.com/questions/4357031/qqnormandqqlineinggplot2/27191036#27191036), also posted at GitHub (see https://gist.github.com/rentrop/d39a8406ad8af2a1066c). That code is in turn based on the qqPlot
function from the car
package.
Value

A
ggplot
plot is returned.
Examples
ggqq(mtcars$mpg);
Community examples
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