# ggqq

0th

Percentile

##### Easy ggplot Q-Q plot

This function creates a qq-plot 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 and qnorm 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/qqnorm-and-qqline-in-ggplot2/27191036#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.

• ggqq
##### Examples
ggqq(mtcars\$mpg);

Documentation reproduced from package userfriendlyscience, version 0.5-2, License: GPL (>= 2)

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