tidyplots (version 0.2.1)

adjust_x_axis: Adjust axes

Description

Adjust axes

Usage

adjust_x_axis(
  plot,
  title = ggplot2::waiver(),
  breaks = ggplot2::waiver(),
  labels = ggplot2::waiver(),
  limits = NULL,
  padding = c(NA, NA),
  rotate_labels = FALSE,
  transform = "identity",
  cut_short_scale = FALSE,
  force_continuous = FALSE,
  ...
)
adjust_y_axis(
  plot,
  title = ggplot2::waiver(),
  breaks = ggplot2::waiver(),
  labels = ggplot2::waiver(),
  limits = NULL,
  padding = c(NA, NA),
  rotate_labels = FALSE,
  transform = "identity",
  cut_short_scale = FALSE,
  force_continuous = FALSE,
  ...
)

Value

A tidyplot object.

Arguments

plot

A tidyplot generated with the function tidyplot().

title

Axis title.

breaks

One of:

• NULL for no breaks

• waiver() for the default breaks computed by the transformation object

• A numeric vector of positions

• A function that takes the limits as input and returns breaks as output (e.g., a function returned by scales::extended_breaks()). Note that for position scales, limits are provided after scale expansion. Also accepts rlang lambda function notation.

labels

One of:

• NULL for no labels

• waiver() for the default labels computed by the transformation object

• A character vector giving labels (must be same length as breaks)

• An expression vector (must be the same length as breaks). See ?plotmath for details.

• A function that takes the breaks as input and returns labels as output. Also accepts rlang lambda function notation.

limits

Axis limits. For example, with limits = c(20, 90) the axis starts at 20 and ends at 90.

padding

Extra space between the data points and the axes. Defaults to c(NA, NA), which does not change the padding.

rotate_labels

Whether to rotate axis labels. If TRUE is set to 45 degrees. You can also provide custom degree values, for example, rotate_labels = 90. Defaults to FALSE.

transform

For continuous scales, the name of a transformation object or the object itself. Built-in transformations include "asn", "atanh", "boxcox", "date", "exp", "hms", "identity", "log", "log10", "log1p", "log2", "logit", "modulus", "probability", "probit", "pseudo_log", "reciprocal", "reverse", "sqrt" and "time".

A transformation object bundles together a transform, its inverse, and methods for generating breaks and labels. Transformation objects are defined in the scales package, and are called transform_<name>. If transformations require arguments, you can call them from the scales package, e.g. scales::transform_boxcox(p = 2). You can create your own transformation with scales::new_transform().

cut_short_scale

Whether to shorten axis labels using K for thousand, M for million, and so on. Defaults to FALSE.

force_continuous

Whether to force the axis to be continuous. Defaults to FALSE.

...

Arguments passed on to ggplot2 scale function.

Details

• The title argument of adjust_x_axis() and adjust_y_axis() supports plotmath expressions to include special characters. See examples and Advanced plotting.

Examples

# Plot without adjustments
animals %>%
  tidyplot(x = weight, y = size, color = family) %>%
  add_data_points()

# New titles
animals %>%
  tidyplot(x = weight, y = size, color = family) %>%
  add_data_points() %>%
  adjust_x_axis(title = "My new x-axis title") %>%
  adjust_y_axis(title = "My new y-axis title")

# New titles with plotmath expressions
animals %>%
  tidyplot(x = weight, y = size, color = family) %>%
  add_data_points() %>%
  adjust_x_axis(title = "$H[2]*O$") %>%
  adjust_y_axis(title = "$E==m*c^{2}$")

# Axes limits
animals %>%
  tidyplot(x = weight, y = size, color = family) %>%
  add_data_points() %>%
  adjust_x_axis(limits = c(-1000, 4000)) %>%
  adjust_y_axis(limits = c(-200, 600))

# Rotate labels
animals %>%
  tidyplot(x = weight, y = size, color = family) %>%
  add_data_points() %>%
  adjust_x_axis(rotate_labels = 90) %>%
  adjust_y_axis(rotate_labels = 90)

# Increase plot area padding
animals %>%
  tidyplot(x = weight, y = size, color = family) %>%
  add_data_points() %>%
  adjust_x_axis(padding = c(0.2, 0.2)) %>%
  adjust_y_axis(padding = c(0.2, 0.2))

# Scale transformation
animals %>%
  tidyplot(x = weight, y = size, color = family) %>%
  add_data_points() %>%
  adjust_x_axis(transform = "log10") %>%
  adjust_y_axis(transform = "log2")