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#Ggplot annotate how to#
We’ll start by describing how to use ggplot2 official functions for adding text annotations. It’s also possible to use the R package ggrepel, which is an extension and provides geom for ggplot2 to repel overlapping text labels away from each other.
geom_text(): adds text directly to the plot.This article describes how to add a text annotation to a plot generated using ggplot2 package. ggrepel: Avoid overlapping of text labels.annotation_custom : Add a static text annotation in the top-right, top-left, ….Add a text annotation at a particular coordinate.Change the text color and size by groups.Text annotations using geom_text and geom_label.* 10, name = "price" ), guide = "prism_minor" ) + theme_prism (border = TRUE ) + coord_cartesian (clip = "off" ) # we use annotation_ticks to draw the minor ticks on the secondary axis ggplot ( sample.data, aes (x = day ) ) + geom_line ( aes (y = temperature ), colour = "magenta" ) + geom_line ( aes (y = price / 10 ), colour = "blue" ) + scale_y_continuous ( sec.axis = sec_axis ( ~. * 10, name = "price" ) ) + theme_prism (border = TRUE ) + coord_cartesian (clip = "off" ) # guide_prism_minor only works with the main axis in this case ggplot ( sample.data, aes (x = day ) ) + geom_line ( aes (y = temperature ), colour = "magenta" ) + geom_line ( aes (y = price / 10 ), colour = "blue" ) + scale_y_continuous ( sec.axis = sec_axis ( ~. sample.data <- ame ( day = as.Date ( "" ) + 0 : 99, temperature = runif ( 100 ) + seq ( 1, 100 ) ^ 2.5 / 10000, price = runif ( 100 ) + seq ( 100, 1 ) ^ 1.5 / 10 ) # sample graph with secondary axis ggplot ( sample.data, aes (x = day ) ) + geom_line ( aes (y = temperature ), colour = "magenta" ) + geom_line ( aes (y = price / 10 ), colour = "blue" ) + scale_y_continuous (sec.axis = sec_axis ( ~. # So we can use annotation_ticks instead. library ( ggplot2 ) # easily put ticks without labels around a plot with a border ggplot ( mtcars, aes (x = mpg, y = disp ) ) + geom_point ( ) + theme_prism (border = TRUE ) + coord_cartesian (clip = "off" ) + annotation_ticks (sides = "tr", type = "major", outside = TRUE ) + theme (plot.margin = unit ( c ( 4, 4, 4, 4 ), "mm" ) ) # the same but with minor ticks as well ggplot ( mtcars, aes (x = mpg, y = disp ) ) + geom_point ( ) + scale_x_continuous (guide = "prism_minor" ) + scale_y_continuous (guide = "prism_minor" ) + theme_prism (border = TRUE ) + coord_cartesian (clip = "off" ) + annotation_ticks (sides = "tr", type = "both", outside = TRUE ) + theme (plot.margin = unit ( c ( 4, 4, 4, 4 ), "mm" ) ) # you can adjust the appearance of annotation_ticks ggplot ( mtcars, aes (x = mpg, y = disp ) ) + geom_point ( ) + theme_prism (border = TRUE ) + coord_cartesian (clip = "off" ) + annotation_ticks ( sides = "tr", type = "major", outside = TRUE, tick.length = unit ( 10, "pt" ), colour = "red", size = 2, linetype = "dashed", lineend = "round" ) + theme (plot.margin = unit ( c ( 4, 4, 4, 4 ), "mm" ) ) # Unfortunately, due to the way they work, secondary axes don't always play # well with the minor tick axes guides in this package. # However annotation_ticks is useful in a few specific situations. # Generally it is better to use the guide_prism_minor function. Pass a ame containing the levels from theįaceting variable you want to annotate specifically. Use this argument to control the appearance of Should the ticks point outside of the plottingĪrea? If TRUE clipping must be turned off. Control number of ticksīy controlling the breaks and minor_breaks arguments in the Can be any of "trbl", for top, right, bottom, left.
Indicates which sides of the plot should ticksĪppear.
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