ggmulti (version 1.0.7)

geom_serialaxes: Serial axes layer

Description

Draw a serial axes layer, parallel axes under Cartesian system and radial axes under Polar system. It only takes the "widens" data. Each non-aesthetics component defined in the mapping aes() will be treated as an axis.

Usage

geom_serialaxes(
  mapping = NULL,
  data = NULL,
  stat = "serialaxes",
  position = "identity",
  ...,
  axes.sequence = character(0L),
  merge = TRUE,
  na.rm = FALSE,
  orientation = NA,
  show.legend = NA,
  inherit.aes = TRUE
)
stat_serialaxes(
  mapping = NULL,
  data = NULL,
  geom = "serialaxes",
  position = "identity",
  ...,
  axes.sequence = character(0L),
  merge = TRUE,
  axes.position = NULL,
  scaling = c("data", "variable", "observation", "none"),
  na.rm = FALSE,
  orientation = NA,
  show.legend = NA,
  inherit.aes = TRUE
)
stat_dotProduct(
  mapping = NULL,
  data = NULL,
  geom = "path",
  position = "identity",
  ...,
  axes.sequence = character(0L),
  merge = TRUE,
  scaling = c("data", "variable", "observation", "none"),
  transform = andrews,
  na.rm = FALSE,
  orientation = NA,
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

mapping

Set of aesthetic mappings created by 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, either as a ggproto Geom subclass or as a string naming the stat stripped of the stat_ prefix (e.g. "count" rather than "stat_count")

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

...

Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.

axes.sequence

A vector to define the axes sequence. In serial axes coordinate, the sequence can be either determined in mapping (function aes()) or by axes.sequence. The only difference is that the mapping aesthetics will omit the duplicated axes (check examples in geom_serialaxes).

merge

Should axes.sequence be merged with mapping aesthetics as a single mapping uneval object?

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

orientation

The orientation of the layer. The default (NA) automatically determines the orientation from the aesthetic mapping. In the rare event that this fails it can be given explicitly by setting orientation to either "x" or "y". See the Orientation section for more detail.

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.

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().

geom

The geometric object to use to display the data, either as a ggproto Geom subclass or as a string naming the geom stripped of the geom_ prefix (e.g. "point" rather than "geom_point")

axes.position

A numerical vector to determine the axes sequence position; the length should be the same with the length of axes.sequence (or mapping aesthetics, see examples).

scaling

one of data, variable, observation or none (not suggested the layout is the same with data) to specify how the data is scaled.

transform

A transformation function, can be either andrews, legendre or some other customized transformation functions.

Details

The difference between the "lengthens" data and "widens" data can be found in Tidy Data. How to transform one to the other is explained in tidyr

See Also

coord_serialaxes, geom_serialaxes_density, geom_serialaxes_quantile, geom_serialaxes_hist

Andrews plot andrews, Legendre polynomials legendre

Examples

# parallel coordinate
p <- ggplot(NBAstats2021,
            mapping = aes(FGA = FGA,
                          `3PA` = `3PA`,
                          FTA = FTA,
                          OFGA = OFGA,
                          O3PA = O3PA,
                          OFTA = OFTA,
                          colour = CONF))

# Teams in West are more likely to make 3-point field goals.
# Besides, they have a better performance in restricting opponents
# to make 3-point field goals.
p +
  geom_serialaxes(scaling = "variable",
                  alpha = 0.4,
                  linewidth = 3) +
  scale_x_continuous(breaks = 1:6,
                     labels = c("FGA", "3PA", "FTA",
                                "OFGA", "O3PA", "OFTA")) +
  scale_y_continuous(labels = NULL)

# andrews plot
p + geom_serialaxes(stat = "dotProduct",
                    scaling = "variable",
                    transform = andrews) # default

# Legendre polynomials
p + geom_serialaxes(stat = "dotProduct",
                    scaling = "variable",
                    transform = legendre)

# \donttest{
############# Determine axes sequence
# 1. set the duplicated axes by mapping aesthetics
ggplot(iris, mapping = aes(Sepal.Length = Sepal.Length,
                           Sepal.Width = Sepal.Width,
                           Sepal.Length = Sepal.Length,
                           Sepal.Width = Sepal.Width,
                           colour = Species)) +
  # only two axes, duplicated axes are removed
  geom_serialaxes()

# 2. set the duplicated axes by axes.sequence
ggplot(iris, mapping = aes(colour = Species)) +
  geom_serialaxes(
    axes.sequence = c("Sepal.Length", "Sepal.Width",
                      "Sepal.Length", "Sepal.Width"))
# }