geom_dotglyph: Add Dot Profile Glyphs as a Scatterplot
In aravind-j/gglyph: Multivariate Data Visualization using Glyphs

geom_dotglyph

R Documentation

Add Dot Profile Glyphs as a Scatterplot

Description

The dotglyph geom is used to plot multivariate data as dot profile glyphs \insertCitechambers_graphical_1983,dutoit_graphical_1986gglyph in a scatterplot.

Usage

geom_dotglyph(
  mapping = NULL,
  data = NULL,
  stat = "identity",
  position = "identity",
  ...,
  cols = character(0L),
  radius = 1,
  fill.dot = NULL,
  fill.gradient = NULL,
  linewidth = 1,
  mirror = TRUE,
  flip.axes = FALSE,
  show.legend = NA,
  repel = FALSE,
  repel.control = gglyph.repel.control(),
  inherit.aes = TRUE
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `aes_()`. If specified and `inherit.aes = TRUE` (the default), it is combined with the default mapping at the top level of the plot. You must supply `mapping` if there is no plot mapping.
`data`	The data to be displayed in this layer. There are three options: If `NULL`, the default, the data is inherited from the plot data as specified in the call to `ggplot()`. A `data.frame`, or other object, will override the plot data. All objects will be fortified to produce a data frame. See `fortify()` for which variables will be created. A `function` will be called with a single argument, the plot data. The return value must be a `data.frame`, and will be used as the layer data. A `function` can be created from a `formula` (e.g. `~ head(.x, 10)`).
`stat`	The statistical transformation to use on the data for this layer, as a string.
`position`	Position adjustment, either as a string, or the result of a call to a position adjustment function.
`...`	Other arguments passed on to `layer()`. These are often aesthetics, used to set an aesthetic to a fixed value, like `colour = "green"` or `size = 3`. They may also be parameters to the paired geom/stat.
`cols`	Name of columns specifying the variables to be plotted in the glyphs as a character vector.
`radius`	The radius of the glyphs.
`fill.dot`	The fill colour of the stacked dots.
`fill.gradient`	The palette for gradient fill of the segments. See Details section of `col_numeric()` function in the `scales` package for available options.
`linewidth`	The line width of the dot glyphs.
`mirror`	logical. If `TRUE`, mirror profile is plotted.
`flip.axes`	logical. If `TRUE`, axes are flipped.
`show.legend`	logical. Should this layer be included in the legends? `NA`, the default, includes if any aesthetics are mapped. `FALSE` never includes, and `TRUE` always includes. It can also be a named logical vector to finely select the aesthetics to display.
`repel`	logical. If `TRUE`, the glyphs are repel away from each other to avoid overlaps. Default is `FALSE`.
`repel.control`	A list of control settings for the repel algorithm. Ignored if `repel = FALSE`. See `gglyph.repel.control` for details on the various control parameters.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. `borders()`.

Value

A geom layer.

Aesthetics

geom_dotglyph() understands the following aesthetics (required aesthetics are in bold):

x
y
alpha
colour
fill
group

See vignette("ggplot2-specs", package = "ggplot2") for further details on setting these aesthetics.

The following additional aesthetics are considered if repel = TRUE:

point.size
segment.linetype
segment.colour
segment.size
segment.alpha
segment.curvature
segment.angle
segment.ncp
segment.shape
segment.square
segment.squareShape
segment.inflect
segment.debug

See ggrepel examples page for further details on setting these aesthetics.

References

\insertAllCited

Examples


# Convert data to classes
zs <- c("hp", "drat", "wt", "qsec", "vs", "am", "gear", "carb")

mtcars[ , zs] <- lapply(mtcars[, zs],
                        function(x) cut(x, breaks = 5,
                                        labels = c(1, 2, 3, 4, 5)))
mtcars[ , zs] <- lapply(mtcars[ , zs], as.factor)

mtcars$cyl <- as.factor(mtcars$cyl)
mtcars$lab <- row.names(mtcars)

library(ggplot2)
theme_set(theme_bw())
options(ggplot2.discrete.colour = RColorBrewer::brewer.pal(8, "Dark2"))
options(ggplot2.discrete.fill = RColorBrewer::brewer.pal(8, "Dark2"))

# Mapped fill
ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, fill = cyl),
                cols = zs, radius = 0.5,
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, fill = cyl),
                cols = zs, radius = 0.5,
                mirror = FALSE,
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, fill = cyl),
                cols = zs, radius = 0.5,
                flip.axes = TRUE,
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, fill = cyl),
                cols = zs, radius = 0.5,
                mirror = FALSE, flip.axes = TRUE,
                alpha =  0.8) +
  ylim(c(-0, 550))

# Mapped colour
ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, colour = cyl),
                cols = zs, radius = 0.5,
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, colour = cyl),
                cols = zs, radius = 0.5,
                mirror = FALSE,
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, colour = cyl),
                cols = zs, radius = 0.5,
                flip.axes = TRUE,
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, colour = cyl),
                cols = zs, radius = 0.5,
                mirror = FALSE, flip.axes = TRUE,
                alpha =  0.8) +
  ylim(c(-0, 550))

# Different fill colours
ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                fill.dot = RColorBrewer::brewer.pal(8, "Dark2"),
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                mirror = FALSE,
                fill.dot = RColorBrewer::brewer.pal(8, "Dark2"),
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                flip.axes = TRUE,
                fill.dot = RColorBrewer::brewer.pal(8, "Dark2"),
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                mirror = FALSE, flip.axes = TRUE,
                fill.dot = RColorBrewer::brewer.pal(8, "Dark2"),
                alpha =  0.8) +
  ylim(c(-0, 550))

# Gradient fill
ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                fill.gradient = "Greens",
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                fill.gradient = "Blues",
                mirror = FALSE,
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                flip.axes = TRUE,
                fill.gradient = "RdYlBu",
                alpha =  0.8) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                mirror = FALSE, flip.axes = TRUE,
                fill.gradient = "viridis",
                alpha =  0.8) +
  ylim(c(-0, 550))

# Faceted
ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, fill = cyl),
                cols = zs, radius = 0.5,
                alpha =  0.8) +
  ylim(c(-0, 550)) +
  facet_grid(. ~ cyl)

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp, colour = cyl),
                cols = zs, radius = 0.5,
                alpha =  0.8) +
  ylim(c(-0, 550)) +
  facet_grid(. ~ cyl)

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                fill.dot = RColorBrewer::brewer.pal(8, "Dark2"),
                alpha =  0.8) +
  ylim(c(-0, 550)) +
  facet_grid(. ~ cyl)

ggplot(data = mtcars) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                fill.gradient = "viridis",
                alpha =  0.8) +
  ylim(c(-0, 550)) +
  facet_grid(. ~ cyl)

# Repel glyphs
ggplot(data = mtcars) +
  geom_point(aes(x = mpg, y = disp, colour = cyl)) +
  geom_dotglyph(aes(x = mpg, y = disp, fill = cyl),
                cols = zs, radius = 0.5,
                alpha =  1, repel = TRUE) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_point(aes(x = mpg, y = disp, colour = cyl)) +
  geom_dotglyph(aes(x = mpg, y = disp, colour = cyl),
                cols = zs, radius = 0.5,
                mirror = FALSE,
                alpha =  1, repel = TRUE) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_point(aes(x = mpg, y = disp)) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                flip.axes = TRUE,
                fill.dot = RColorBrewer::brewer.pal(8, "Dark2"),
                alpha =  1, repel = TRUE) +
  ylim(c(-0, 550))

ggplot(data = mtcars) +
  geom_point(aes(x = mpg, y = disp)) +
  geom_dotglyph(aes(x = mpg, y = disp),
                cols = zs, radius = 0.5,
                mirror = FALSE, flip.axes = TRUE,
                fill.gradient = "viridis",
                alpha =  1, repel = TRUE) +
  ylim(c(-0, 550))

aravind-j/gglyph documentation built on Aug. 2, 2022, 12:30 a.m.