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ggpointless

ggpointless is an extension of the ggplot2 library providing additional layers.

Installation

You can install ggpointless from CRAN with:

install.packages("ggpointless")

To install the development version from GitHub use:

# install.packages("devtools")
devtools::install_github("flrd/ggpointless")

Once you have installed the package, attach it by calling:

library(ggpointless)

What will you get

• geom_pointless() – emphasizes some observations with points
• geom_lexis() – draws a Lexis diagram
• geom_chaikin() – applies Chaikin’s corner cutting algorithm
• geom_catenary() – draws a catenary curve

See vignette("ggpointless") for details and examples.

geom_pointless

geom_pointless() let’s you highlight the first, or last observations, sample minimum and sample maximum to provide additional context. Or just some visual sugar. geom_pointless() behaves similar to geom_point() except that it has a location argument. You can set it to "first", "last" (default), "minimum", "maximum", and "all", where "all" is just shorthand to select "first", "last", "minimum" and "maximum".

cols <- c("#f4ae1b", "#d77e7b", "#a84dbd", "#311dfc")
theme_set(theme_minimal())

x <- seq(-pi, pi, length.out = 500)
y <- outer(x, 1:5, function(x, y) sin(x * y))

df1 <- data.frame(
  var1 = x,
  var2 = rowSums(y)
)

ggplot(df1, aes(x = var1, y = var2)) +
  geom_line() +
  geom_pointless(aes(color = after_stat(location)),
    location = "all",
    size = 3
  ) +
  scale_color_manual(values = cols)

geom_lexis

geom_lexis() is a combination of a segment and a point layer. Given a start value and an end value, this function draws a 45° line which indicates the duration of an event. Required are x and xend aesthetics, y and yend coordinates will be calculated.

df2 <- data.frame(
  key = c("A", "B", "B", "C", "D"),
  x = c(0, 1, 6, 5, 6),
  xend = c(5, 4, 10, 8, 10)
)

ggplot(df2, aes(x = x, xend = xend, color = key)) +
  geom_lexis(aes(linetype = after_stat(type)), size = 2) +
  coord_equal() +
  scale_x_continuous(breaks = c(df2$x, df2$xend)) +
  scale_color_manual(values = cols) +
  scale_linetype_identity() +
  theme(panel.grid.minor = element_blank())

See also the LexisPlotR package.

geom_chaikin

Chaikin’s corner cutting algorithm let’s you turn a ragged path or polygon into a smoothed one. Credit to Farbfetzen / corner_cutting.

lst <- list(
  data = list(
    closed_square = data.frame(x = c(0, 0, 1, 1), y = c(2, 3, 3, 2)),
    whale = data.frame(x = c(.5, 4, 4, 3.5, 2), y = c(.5, 1, 1.5, .5, 3)),
    open_triangle = data.frame(x = c(3, 3, 5), y = c(2, 3, 3)),
    closed_triangle = data.frame(x = c(3.5, 5, 5), y = c(0, 0, 1.5))
  ),
  color = cols,
  closed = c(TRUE, TRUE, FALSE, TRUE)
)

ggplot(mapping = aes(x, y)) +
  lapply(lst$data, function(i) {
    geom_polygon(data = i, fill = NA, linetype = "12", color = "#777777")
  }) +
  Map(f = function(data, color, closed) {
    geom_chaikin(data = data, color = color, closed = closed)
  }, data = lst$data, color = lst$color, closed = lst$closed) +
  geom_point(data = data.frame(x = 1.5, y = 1.5)) +
  coord_equal()

See also the smoothr package.

geom_catenary

Draws a flexible curve that simulates a chain or rope hanging loosely between two fixed points. By default, a chain length twice the Euclidean distance between each x/y combination is used. See vignette("ggpointless") for details.

Credit to: dulnan/catenary-curve

ggplot(data.frame(x = 1:5, y = sample(5)),
       aes(x, y)) + 
  geom_catenary() +
  geom_point(size = 3, colour = "#f4ae1b")
#> Set chainLength to 23.7

Data

In addition to the geoms & stats, the following data sets are contained in ggpointless:

1. co2_ml : CO₂ records taken at Mauna Loa
2. covid_vac : COVID-19 Cases and Deaths by Vaccination Status
3. female_leaders : Elected and appointed female heads of state and government

For more examples call vignette("examples").

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.