Count and density histograms in ggformula
.
gf_histogram(
object = NULL,
gformula = NULL,
data = NULL,
...,
bins = 25,
binwidth,
alpha = 0.5,
color,
fill,
group,
linetype,
linewidth,
xlab,
ylab,
title,
subtitle,
caption,
geom = "bar",
stat = "bin",
position = "stack",
show.legend = NA,
show.help = NULL,
inherit = TRUE,
environment = parent.frame()
)
gf_dhistogram(
object = NULL,
gformula = NULL,
data = NULL,
...,
bins = 25,
binwidth,
alpha = 0.5,
color,
fill,
group,
linetype,
linewidth,
xlab,
ylab,
title,
subtitle,
caption,
geom = "bar",
stat = "bin",
position = "stack",
show.legend = NA,
show.help = NULL,
inherit = TRUE,
environment = parent.frame()
)
gf_dhistogramh(
object = NULL,
gformula = NULL,
data = NULL,
...,
bins = 25,
binwidth,
alpha = 0.5,
color,
fill,
group,
linetype,
linewidth,
xlab,
ylab,
title,
subtitle,
caption,
geom = "bar",
stat = "bin",
position = "stack",
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
(or y ~ x
, but this shape is not
generally needed).
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)
).
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
.
Number of bins. Overridden by binwidth
. Defaults to 30.
The width of the bins. Can be specified as a numeric value
or as a function that calculates width from unscaled x. Here, "unscaled x"
refers to the original x values in the data, before application of any
scale transformation. When specifying a function along with a grouping
structure, the function will be called once per group.
The default is to use the number of bins in bins
,
covering the range of the data. You should always override
this value, exploring multiple widths to find the best to illustrate the
stories in your data.
The bin width of a date variable is the number of days in each time; the bin width of a time variable is the number of seconds.
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 numerical line width or a formula used for mapping linewidth.
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()
.
Use to override the default connection between
geom_histogram()
/geom_freqpoly()
and stat_bin()
.
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.
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
.
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.
x <- rnorm(1000)
gf_histogram(~x, bins = 30)
gf_dhistogram(~x, bins = 30)
gf_dhistogram(~x, binwidth = 0.5, center = 0, color = "black")
gf_dhistogram(~x, binwidth = 0.5, boundary = 0, color = "black")
gf_dhistogramh(x ~ ., binwidth = 0.5, boundary = 0, color = "black")
gf_dhistogram(~x, bins = 30) |>
gf_fitdistr(dist = "dnorm") # see help for gf_fitdistr() for more info.
gf_histogram(~x, fill = ~ (abs(x) <= 2), boundary = 2, binwidth = 0.25)
data(penguins, package = "palmerpenguins")
gf_histogram(~ bill_length_mm | species, data = penguins, binwidth = 0.25)
#> Warning: Removed 2 rows containing non-finite values (`stat_bin()`).
gf_histogram(~age,
data = mosaicData::HELPrct, binwidth = 5,
fill = "skyblue", color = "black"
)
# bins can be adjusted left/right using center or boundary
gf_histogram(~age,
data = mosaicData::HELPrct,
binwidth = 5, fill = "skyblue", color = "black", center = 42.5
)
gf_histogram(~age,
data = mosaicData::HELPrct,
binwidth = 5, fill = "skyblue", color = "black", boundary = 40
)
gf_histogram(age ~ .,
data = mosaicData::HELPrct,
binwidth = 5, fill = "skyblue", color = "black", boundary = 40
)