Adjust colors

Adjust colors

Usage

adjust_colors(
  plot,
  new_colors = NULL,
  saturation = 1,
  labels = tidyplot_parse_labels(),
  downsample = c("evenly", "first", "last", "middle"),
  ...
)

Arguments

plot

A tidyplot generated with the function tidyplot().

new_colors

A character vector of new hex colors to use. Can be a named character vector of hex colors to assign certain data labels to specific colors.

saturation

A number between 0 and 1 for the color saturation of an object. A value of 0 is completely desaturated (white), 1 is the original color.

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.

downsample

If too many colors are provided, whether to downsample evenly, or use the first, the last or the middle colors of the color vector. Defaults to evenly.

...

Arguments passed on to the ggplot2 scale function.

Value

A tidyplot object

See also

colors_discrete_friendly(), colors_continuous_viridis(), colors_diverging_blue2brown(), and new_color_scheme()

Examples

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


# Provide hex colors
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_colors(new_colors = c("#644296","#F08533","#3B78B0", "#D1352C"))


# Provide discrete color scheme
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_colors(new_colors = colors_discrete_seaside)


# Provide named vector
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points() %>%
  add_mean_bar(alpha = 0.4) %>%
  add_sem_errorbar() %>%
  adjust_colors(new_colors = c(
    "A" = "pink",
    "B" = "purple",
    "C" = "grey",
    "D" = "blue"))


# Provide continuous color scheme
climate %>%
  tidyplot(x = month, y = year, color = max_temperature) %>%
  add_heatmap() %>%
  adjust_colors(new_colors = colors_continuous_turbo)