README.md

ggeasy

You know how to make ggplot2 graphics, right? No worries. Piece of cake.

Now, can you please rotate the x axis labels to vertical?

ggeasy is here to make that a little easier.

Installation

You can install the latest released version of ggeasy from CRAN with:

install.packages("ggeasy")

or the bleeding-edge development version from GitHub with

# install.packages("remotes")
remotes::install_github("jonocarroll/ggeasy")

Reference

See the pkgdown site.

@amrrs a.k.a. @1littlecoder has produced a video walkthrough using ggeasy which covers some of the major features:

Sharon Machlis has a great article detailing using the package, as well as a video

Examples

library(ggplot2)
#> 
#> Attaching package: 'ggplot2'
#> The following object is masked from 'package:base':
#> 
#>     is.element
library(ggeasy)

# rotate x axis labels
ggplot(mtcars, aes(hp, mpg)) + 
    geom_point() + 
    easy_rotate_x_labels()

# rotate y axis labels
ggplot(mtcars, aes(hp, mpg)) + 
    geom_point() + 
    easy_rotate_y_labels()

# remove 'size' legend
ggplot(mtcars, aes(wt, mpg, colour = cyl, size = hp)) +
    geom_point() +
    easy_remove_legend(size)

# make the x axis labels larger
ggplot(mtcars, aes(mpg, hp)) +
  geom_point() +
  easy_x_axis_labels_size(22)

# make all the text red
ggplot(mtcars, aes(mpg, hp)) +
  geom_point(aes(fill = gear)) +
  easy_all_text_color("red")

# remove just x axis
ggplot(mtcars, aes(wt, mpg)) +
  geom_point() + 
  easy_remove_x_axis()

# remove y axis ticks
ggplot(mtcars, aes(wt, mpg)) +
  geom_point() + 
  easy_remove_y_axis(what = "ticks")

# move legends to bottom
ggplot(mtcars, aes(wt, mpg, colour = cyl, size = hp)) +
  geom_point() + 
  easy_move_legend("bottom")

# move legend to left side
ggplot(mtcars, aes(wt, mpg, colour = cyl, size = hp)) +
  geom_point() +
  easy_legend_at("left")

# Make legends horizontal
ggplot(mtcars, aes(wt, mpg, colour = cyl, size = hp)) +
  geom_point() + easy_rotate_legend("horizontal")

# use labelled variables
iris_labs <- iris
labelled::var_label(iris_labs$Species) <- "Flower\nSpecies"
labelled::var_label(iris_labs$Sepal.Length) <- "Length of Sepal"
iris_labs_2 <- iris_labs
labelled::var_label(iris_labs_2$Species) <- "Sub-genera"

# use variable labels automatically
ggplot(iris_labs, aes(x = Sepal.Length, y = Sepal.Width)) +
    geom_line(aes(colour = Species)) + 
    geom_point(data = iris_labs_2, aes(fill = Species), shape = 24) +
    easy_labs()

These functions will try to teach you the ‘official’ way to achieve these goal, usually via the teach argument (where implemented)

ggplot(mtcars, aes(hp, mpg)) + 
    geom_point() + 
    easy_rotate_y_labels(angle = "startatbottom", teach = TRUE)
#> easy_rotate_y_labels call can be substituted with:
#> theme(axis.text.y = element_text(angle = 90, hjust = 0))

ggplot(mtcars, aes(wt, mpg)) +
  geom_point() + 
  easy_remove_y_axis(what = "ticks", teach = TRUE)
#> easy_remove_y_axis call can be substituted with:
#> theme(axis.ticks.y = element_blank())

Credits

Many thanks to Sébastien Rochette (@statnmap) for the design and execution of the hex logo.