Computes and draws a kernel density estimate, which is a smoothed version of the
histogram and is a useful alternative when the data come from an underlying smooth
distribution.
The only difference between gf_dens() and gf_density() is the default geom
used to show the density curve: gf_density() uses an area geom (which can be filled).
gf_dens() using a line geom (which cannot be filled).
gf_density(object = NULL, gformula = NULL, data = NULL,
alpha = 0.5, color, fill, group, linetype, size, kernel = "gaussian",
n = 512, trim = FALSE, xlab, ylab, title, subtitle, caption,
geom = "area", stat = "density", position = "identity",
show.legend = NA, show.help = NULL, inherit = TRUE,
environment = parent.frame(), ...)gf_dens(object = NULL, gformula = NULL, data = NULL, alpha = 0.5,
color, group, linetype, size, kernel = "gaussian", n = 512,
trim = FALSE, xlab, ylab, title, subtitle, caption, geom = "line",
stat = "density", position = "identity", show.legend = NA,
show.help = NULL, inherit = TRUE, environment = parent.frame(),
...)
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.
A formula with shape ~ x.
Faceting can be achieved by including | in the formula.
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.
Opacity (0 = invisible, 1 = opaque).
A color or a formula used for mapping color.
A color for filling, or a formula used for mapping fill.
Used for grouping.
A linetype (numeric or "dashed", "dotted", etc.) or a formula used for mapping linetype.
A numeric size or a formula used for mapping size.
Kernel. See list of available kernels in density().
number of equally spaced points at which the density is to be
estimated, should be a power of two, see density() for
details
This parameter only matters if you are displaying multiple
densities in one plot. If FALSE, the default, each density is
computed on the full range of the data. If TRUE, each density
is computed over the range of that group: this typically means the
estimated x values will not line-up, and hence you won't be able to
stack density values.
Label for x-axis. See also gf_labs().
Label for y-axis. See also gf_labs().
Title, sub-title, and caption for the plot.
See also gf_labs().
Title, sub-title, and caption for the plot.
See also gf_labs().
Title, sub-title, and caption for the plot.
See also gf_labs().
Use to override the default connection between
geom_density and stat_density.
Use to override the default connection between
geom_density and stat_density.
Position adjustment, either as a string, or the result of a call to a position adjustment function.
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.
If TRUE, display some minimal help.
A logical indicating whether default attributes are inherited.
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.
a gg object
Positional attributes (a.k.a, 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.
# NOT RUN {
gf_dens()
gf_density( ~ Sepal.Length, fill = ~ Species, data = iris)
gf_dens( ~ Sepal.Length, color = ~ Species, data = iris)
gf_freqpoly( ~ Sepal.Length, color = ~ Species, data = iris, bins = 15)
# Chaining in the data
iris %>% gf_dens( ~ Sepal.Length, color = ~ Species)
# }
Run the code above in your browser using DataLab