Learn R Programming

ggformula (version 0.7.0)

gf_qq: Formula interface to geom_qq()

Description

gf_qq() an gf_qqstep() both create quantile-quantile plots. They differ in how they display the qq-plot. gf_qq() uses points and gf_qqstep() plots a step function through these points.

Usage

gf_qq(object = NULL, gformula = NULL, data = NULL, group,
  distribution = stats::qnorm, dparams = list(), xlab, ylab, title,
  subtitle, caption, geom = "point", stat = "qq", position = "identity",
  show.legend = NA, show.help = NULL, inherit = TRUE,
  environment = parent.frame(), ...)

gf_qqline(object = NULL, gformula = NULL, data = NULL, group, distribution = stats::qnorm, dparams = list(), linetype = "dashed", alpha = 0.7, xlab, ylab, title, subtitle, caption, geom = "line", stat = "qqline", position = "identity", show.legend = NA, show.help = NULL, inherit = TRUE, environment = parent.frame(), ...)

gf_qqstep(object = NULL, gformula = NULL, data = NULL, group, distribution = stats::qnorm, dparams = list(), xlab, ylab, title, subtitle, caption, geom = "step", stat = "qq", position = "identity", show.legend = NA, show.help = NULL, inherit = TRUE, 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 ~ sample. Facets can be added using |.

data

A data frame with the variables to be plotted.

group

Used for grouping.

distribution

Distribution function to use, if x not specified

dparams

Additional parameters passed on to distribution function.

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.

linetype

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

alpha

Opacity (0 = invisible, 1 = opaque).

Value

a gg object

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_qq()

Examples

Run this code
# NOT RUN {
gf_qq(~rnorm(100))
gf_qq(~Sepal.Length | Species, data = iris) %>% gf_qqline()
gf_qq(~Sepal.Length | Species, data = iris) %>% gf_qqline(tail = 0.10)
gf_qq(~Sepal.Length, color = ~Species, data = iris) %>%
gf_qqstep(~Sepal.Length, color = ~Species, data = iris)
# }

Run the code above in your browser using DataLab