Learn R Programming

gghighlight (version 0.4.1)

gghighlight: Highlight Data With Predicate

Description

gghiglight() highlights (almost) any geoms according to the given predicates.

Usage

gghighlight(
  ...,
  n = NULL,
  max_highlight = 5L,
  unhighlighted_params = list(),
  use_group_by = NULL,
  use_direct_label = NULL,
  label_key = NULL,
  label_params = list(fill = "white"),
  keep_scales = FALSE,
  calculate_per_facet = FALSE,
  line_label_type = c("ggrepel_label", "ggrepel_text", "text_path", "label_path",
    "sec_axis"),
  unhighlighted_colour = NULL
)

Arguments

...

Expressions to filter data, which is passed to dplyr::filter().

n

Number of layers to clone.

max_highlight

Max number of series to highlight.

unhighlighted_params

Aesthetics (e.g. colour, fill, and size) for unhighlighted geoms. Specifying colour = NULL or fill = NULL will preserve the original colour.

use_group_by

If TRUE, use dplyr::group_by() to evaluate predicate.

use_direct_label

If TRUE, add labels directly on the plot instead of using a legend.

label_key

Column name for label aesthetics.

label_params

A list of parameters, which is passed to ggrepel::geom_label_repel().

keep_scales

If TRUE, keep the original data with ggplot2::geom_blank() so that the highlighted plot has the same scale with the data.

calculate_per_facet

(Experimental) If TRUE, include the facet variables to calculate the grouping; in other words, highlighting is done on each facet individually.

line_label_type

(Experimental) Method to add labels (or texts) on the highlighted lines.

"ggrepel_label"

Use ggrepel::geom_label_repel().

"ggrepel_text"

Use ggrepel::geom_text_repel().

"text_path"

Use geomtextpath::geom_textline() for lines and geomtextpath::geom_textpath() for paths.

"label_path"

Use geomtextpath::geom_labelline() for lines and geomtextpath::geom_labelpath() for paths.

"sec_axis"

Use secondary axis. Please refer to Simon Jackson's blog post for the trick.

unhighlighted_colour

(Deprecated) Colour for unhighlighted geoms.

Examples

Run this code
d <- data.frame(
  idx = c(1, 1, 1, 2, 2, 2, 3, 3, 3),
  value = c(1, 2, 3, 10, 11, 12, 9, 10, 11),
  category = rep(c("a", "b", "c"), 3),
  stringsAsFactors = FALSE
)

# Highlight the lines whose max values are larger than 10
ggplot(d, aes(idx, value, colour = category)) +
  geom_line() + gghighlight(max(value) > 10)

# Highlight the points whose values are larger than 10
ggplot(d, aes(idx, value)) +
  geom_point() +
  gghighlight(value > 10, label_key = category)

# Specify the styles for unhighlighted layer
ggplot(d, aes(idx, value, colour = category)) +
  geom_line(linewidth = 5) +
  gghighlight(max(value) > 10,
    unhighlighted_params = list(linewidth = 1)
  )

Run the code above in your browser using DataLab