This function creates a qq-plot with a confidence interval.
ggqq( x, distribution = "norm", ..., ci = TRUE, line.estimate = NULL, conf.level = 0.95, sampleSizeOverride = NULL, observedOnX = TRUE, scaleExpected = TRUE, theoryLab = "Theoretical quantiles", observeLab = "Observed quantiles", theme = ggplot2::theme_bw() )
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. |
... | Any additional arguments are passed to the quantile function
(e.g. |
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
|
observedOnX | Whether to plot the observed values (if |
scaleExpected | Whether the scale the expected values to match the scale of the variable. This option is provided to be able to mimic SPSS' Q-Q plots. |
theoryLab | The label for the theoretically expected values (on the Y axis by default). |
observeLab | The label for the observed values (on the Y axis by default). |
theme | The theme to use. |
A ggplot
plot is returned.
This is strongly based on the answer by user Floo0 to a Stack Overflow
question at Stack Exchange (see
https://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.
John Fox and Floo0; implemented in this package (and tweaked a bit) by Gjalt-Jorn Peters.
Maintainer: Gjalt-Jorn Peters gjalt-jorn@userfriendlyscience.com
ggqq(mtcars$mpg);![]()