ggBoxplot: Box plot using ggplot
In userfriendlyscience: Quantitative Analysis Made Accessible

Description Usage Arguments Details Value Author(s) See Also Examples

This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row numbers of outliers.

ggBoxplot(dat, y = NULL, x = NULL,
          labelOutliers = TRUE,
          outlierColor = "red",
          theme = theme_bw(), ...)

`dat`	Either a vector of values (to display in the box plot) or a dataframe containing variables to display in the box plot.
`y`	If `dat` is a dataframe, this is the name of the variable to make the box plot of.
`x`	If `dat` is a dataframe, this is the name of the variable (normally a factor) to place on the X axis. Separate box plots will be generate for each level of this variable.
`labelOutliers`	Whether or not to label outliers.
`outlierColor`	If labeling outliers, this is the color to use.
`theme`	The theme to use for the box plot.
`...`	Any additional arguments will be passed to `geom_boxplot`.

This function is based on JasonAizkalns' answer to a question on Stack Exchange (Cross Validated; see http://stackoverflow.com/questions/33524669/labeling-outliers-of-boxplots-in-r).

A ggplot plot is returned.

Jason Aizkalns; implemented in this package (and tweaked a bit) by Gjalt-Jorn Peters.

Maintainer: Gjalt-Jorn Peters <gjalt-jorn@userfriendlyscience.com>

geom_boxplot

### A box plot for miles per gallon in the mtcars dataset:
ggBoxplot(mtcars$mpg);

### And separate for each level of 'cyl' (number of cylinder):
ggBoxplot(mtcars, y='mpg', x='cyl');