ggformula (version 0.7.0)

gf_rug: Formula interface to geom_rug()

Description

gf_rugx() and gf_rugy() are versions that only add a rug to x- or y- axis. By default, these functions do not inherit from the formula in the original layer (because doing so would often result in rugs on both axes), so the formula is required.

Usage

gf_rug(object = NULL, gformula = NULL, data = NULL, sides = "bl", alpha,
  color, group, linetype, size, xlab, ylab, title, subtitle, caption,
  geom = "rug", stat = "identity", position = "identity",
  show.legend = NA, show.help = NULL, inherit = TRUE,
  environment = parent.frame(), ...)
gf_rugx(object = NULL, gformula = NULL, data = NULL, sides = "b", alpha,
  color, group, linetype, size, xlab, ylab, title, subtitle, caption,
  geom = "rug", stat = "identity", position = "identity",
  show.legend = NA, show.help = NULL, inherit = FALSE,
  environment = parent.frame(), ...)
gf_rugy(object = NULL, gformula = NULL, data = NULL, sides = "l", alpha,
  color, group, linetype, size, xlab, ylab, title, subtitle, caption,
  geom = "rug", stat = "identity", position = "identity",
  show.legend = NA, show.help = NULL, inherit = FALSE,
  environment = parent.frame(), ...)

Arguments

object

When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples.

gformula

A formula with shape y ~ x (gf_rug()) or ~ x (gf_rugx()) or ~ y (gf_rugy()).

data

A data frame with the variables to be plotted.

sides

A string that controls which sides of the plot the rugs appear on. It can be set to a string containing any of "trbl", for top, right, bottom, and left.

alpha

Opacity (0 = invisible, 1 = opaque).

color

A color or a formula used for mapping color.

group

Used for grouping.

linetype

A linetype (numeric or "dashed", "dotted", etc.) or a formula used for mapping linetype.

size

A numeric size or a formula used for mapping size.

xlab

Label for x-axis. See also gf_labs().

ylab

Label for y-axis. See also gf_labs().

title

Title, sub-title, and caption for the plot. See also gf_labs().

subtitle

Title, sub-title, and caption for the plot. See also gf_labs().

caption

Title, sub-title, and caption for the plot. See also gf_labs().

geom

A character string naming the geom used to make the layer.

stat

A character string naming the stat used to make the layer.

position

Either a character string naming the position function used for the layer or a position object returned from a call to a position function.

show.legend

A logical indicating whether this layer should be included in the legends. NA, the default, includes layer in the legends if any of the attributes of the layer are mapped.

show.help

If TRUE, display some minimal help.

inherit

A logical indicating whether default attributes are inherited.

environment

An environment in which to look for variables not found in data.

...

Additional arguments. Typically these are (a) ggplot2 aesthetics to be set with attribute = value, (b) ggplot2 aesthetics to be mapped with attribute = ~expression, or (c) attributes of the layer as a whole, which are set with attribute = value.

Value

a gg object

Aesthetics

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

• alpha

• colour

• group

• linetype

• size

• x

• y

Details

Positional aesthetics are specified using the formula in gformula. Setting and mapping of additional attributes can be done through the use of additional arguments. Attributes can be set can be set using arguments of the form attribute = value or mapped using arguments of the form attribute = ~ expression.

In formulas of the form A | B, B will be used to form facets using facet_wrap() or facet_grid(). This provides an alternative to gf_facet_wrap() and gf_facet_grid() that is terser and may feel more familiar to users of lattice.

Evaluation of the ggplot2 code occurs in the environment of gformula. This will typically do the right thing when formulas are created on the fly, but might not be the right thing if formulas created in one environment are used to create plots in another.

See Also

ggplot2::geom_rug()

Examples

# NOT RUN {
gf_point(Sepal.Length ~ Sepal.Width, data = iris) %>%
gf_rug(Sepal.Length ~ Sepal.Width)

# There are several ways to control x- and y-rugs separately
gf_point(Sepal.Length ~ Sepal.Width, data = iris) %>%
gf_rugx( ~ Sepal.Width,  data = iris, color = "red") %>%
gf_rugy(Sepal.Length ~ ., data = iris, color = "green")

gf_point(Sepal.Length ~ Sepal.Width, data = iris) %>%
gf_rug(. ~ Sepal.Width,  data = iris, color = "red", inherit = FALSE) %>%
gf_rug(Sepal.Length ~ ., data = iris, color = "green", inherit = FALSE)

gf_point(Sepal.Length ~ Sepal.Width, data = iris) %>%
gf_rug(. ~ Sepal.Width,  data = iris, color = "red", sides = "b") %>%
gf_rug(Sepal.Length ~ ., data = iris, color = "green", sides = "l")

# jitter requires both an x and a y, but we can turn off one or the other with sides
gf_jitter(Sepal.Length ~ Sepal.Width, data = iris) %>%
gf_rug(color = "green", sides = "b", position = "jitter")

# rugs work with some 1-varialbe plots as well.
gf_histogram( ~ eruptions, data = faithful) %>%
gf_rug( ~ eruptions, data = faithful, color = "red")%>%
gf_rug( ~ eruptions, data = faithful, color = "navy", sides = "t")

# we can take advantage of inheritance to shorten the code
gf_histogram( ~ eruptions, data = faithful) %>%
gf_rug(color = "red") %>%
gf_rug(color = "navy", sides = "t")

# Need to turn off inheritance when using gf_dhistogram:
gf_dhistogram( ~ eruptions, data = faithful) %>%
gf_rug( ~ eruptions, data = faithful, color = "red", inherit = FALSE)

# using jitter with gf_histogram() requires manually setting the y value.
gf_dhistogram(~ Sepal.Width, data = iris) %>%
gf_rug(0 ~ Sepal.Width, data = iris, color = "green", sides = "b", position = "jitter")

# the choice of y value can affect how the plot
gf_dhistogram(~ Sepal.Width, data = iris) %>%
gf_rug(0.5 ~ Sepal.Width, data = iris, color = "green", sides = "b", position = "jitter")
gf_jitter(Sepal.Length ~ Sepal.Width, data = iris) %>%
gf_rug( Sepal.Length ~ . , data = iris, color = "green") %>%
gf_rug( . ~ Sepal.Width, data = iris, color = "red")
# }