adjust_legend_title | R Documentation |
Adjust legend
adjust_legend_title(
plot,
title = ggplot2::waiver(),
fontsize = NULL,
family = NULL,
face = NULL,
color = "black",
...
)
adjust_legend_position(plot, position = "right")
plot |
A |
title |
Legend title. |
fontsize |
Font size in points. Defaults to |
family |
The typeface to use. The validity of this value will depend on
the graphics device being used for rendering the plot. See
the systemfonts vignette
for guidance on the best way to access fonts installed on your computer.
The values |
face |
Font face ("plain", "italic", "bold", "bold.italic") |
color |
A hex color for the stroke color. For example, |
... |
Arguments passed on to |
position |
The position of the legend. Can be one of
|
The title
argument of adjust_legend_title()
supports plotmath expressions to include special characters.
See examples and Advanced plotting.
A tidyplot
object.
# 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")
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