Good labels are critical for making your plots accessible to a wider
audience. Always ensure the axis and legend labels display the full
variable name. Use the plot
subtitle to explain the
main findings. It's common to use the
caption to provide information
about the data source.
tag can be used for adding identification tags
to differentiate between multiple plots.
A list of new name-value pairs. The name should be an aesthetic.
The text for the title.
The text for the subtitle for the plot which will be displayed below the title.
The text for the caption which will be displayed in the bottom-right of the plot by default.
The text for the tag label which will be displayed at the top-left of the plot by default.
Text used for the generation of alt-text for the plot. See get_alt_text for examples.
The title of the respective axis (for
You can also set axis and legend labels in the individual scales (using
the first argument, the
name). If you're changing other scale options, this
If a plot already has a title, subtitle, caption, etc., and you want to
remove it, you can do so by setting the respective argument to
example, if plot
p has a subtitle, then
p + labs(subtitle = NULL) will
remove the subtitle from the plot.
p <- ggplot(mtcars, aes(mpg, wt, colour = cyl)) + geom_point() p + labs(colour = "Cylinders") p + labs(x = "New x label") # The plot title appears at the top-left, with the subtitle # display in smaller text underneath it p + labs(title = "New plot title") p + labs(title = "New plot title", subtitle = "A subtitle") # The caption appears in the bottom-right, and is often used for # sources, notes or copyright p + labs(caption = "(based on data from ...)") # The plot tag appears at the top-left, and is typically used # for labelling a subplot with a letter. p + labs(title = "title", tag = "A") # If you want to remove a label, set it to NULL. p + labs(title = "title") + labs(title = NULL)