ggBoxplot

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.

Keywords
hplot
Usage
ggBoxplot(dat, y = NULL, x = NULL,
          labelOutliers = TRUE,
          outlierColor = "red",
          theme = theme_bw(), ...)
Arguments
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.
Details

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).

Value

A ggplot plot is returned.

See Also

geom_boxplot

Aliases
  • ggBoxplot
Examples
### 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');
Documentation reproduced from package userfriendlyscience, version 0.6-1, License: GPL (>= 2)

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