tidyplots (version 0.2.1)

adjust_legend_title: Adjust legend

Description

Adjust legend

Usage

adjust_legend_title(
  plot,
  title = ggplot2::waiver(),
  fontsize = NULL,
  family = NULL,
  face = NULL,
  color = "black",
  ...
)
adjust_legend_position(plot, position = "right")

Value

A tidyplot object.

Arguments

plot

A tidyplot generated with the function tidyplot().

title

Legend title.

fontsize

Font size in points. Defaults to 7.

family

Font family

face

Font face ("plain", "italic", "bold", "bold.italic")

color

A hex color for the stroke color. For example, "#FFFFFF" for white.

...

Arguments passed on to ggplot2::element_text().

position

The position of the legend. Can be one of c("right", "left", "bottom", "top", "none"). Defaults to "right".

Details

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

Examples

# Plot without adjustments
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_beeswarm() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar()

# New title
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_beeswarm() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_legend_title("My new legend title")

# New title with plotmath expression
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_beeswarm() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_legend_title("$E==m*c^{2}$")

# Alternative legend positions
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_beeswarm() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_legend_position("left")

study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_beeswarm() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_legend_position("top")

study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_beeswarm() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_legend_position("bottom")

# `position = "none"` hides the legend
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_beeswarm() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_legend_position("none")