Draw Histograms and Kernel Density Plots, possibly conditioned on other variables.
histogram(x, data, ...)
densityplot(x, data, ...)# S3 method for formula
histogram(x,
data,
allow.multiple, outer = TRUE,
auto.key = lattice.getOption("default.args")$auto.key,
aspect = "fill",
panel = lattice.getOption("panel.histogram"),
prepanel, scales, strip, groups,
xlab, xlim, ylab, ylim,
type = c("percent", "count", "density"),
nint = if (is.factor(x)) nlevels(x)
else round(log2(length(x)) + 1),
endpoints = extend.limits(range(as.numeric(x),
finite = TRUE), prop = 0.04),
breaks,
equal.widths = TRUE,
drop.unused.levels =
lattice.getOption("drop.unused.levels"),
...,
lattice.options = NULL,
default.scales = list(),
default.prepanel =
lattice.getOption("prepanel.default.histogram"),
subscripts,
subset)
# S3 method for data.frame
histogram(x, data = NULL, formula = data, ...)
# S3 method for numeric
histogram(x, data = NULL, xlab, ...)
# S3 method for factor
histogram(x, data = NULL, xlab, ...)
# S3 method for formula
densityplot(x,
data,
allow.multiple = is.null(groups) || outer,
outer = !is.null(groups),
auto.key = lattice.getOption("default.args")$auto.key,
aspect = "fill",
panel = lattice.getOption("panel.densityplot"),
prepanel, scales, strip, groups, weights,
xlab, xlim, ylab, ylim,
bw, adjust, kernel, window, width, give.Rkern,
n = 512, from, to, cut, na.rm,
drop.unused.levels =
lattice.getOption("drop.unused.levels"),
...,
lattice.options = NULL,
default.scales = list(),
default.prepanel =
lattice.getOption("prepanel.default.densityplot"),
subscripts,
subset)
# S3 method for data.frame
densityplot(x, data = NULL, formula = data, ...)
# S3 method for numeric
densityplot(x, data = NULL, xlab, ...)
do.breaks(endpoints, nint)
An object of class "trellis". The
update method can be used to
update components of the object and the
print method (usually called by
default) will plot it on an appropriate plotting device.
The object on which method dispatch is carried out.
For the formula method, x can be a formula of the form
~ x | g1 * g2 * ..., indicating that histograms or kernel
density estimates of the x variable should be produced
conditioned on the levels of the (optional) variables g1,
g2, .... x should be numeric (or possibly a factor
in the case of histogram), and each of g1, g2,
... should be either factors or shingles.
As a special case, the right hand side of the formula can contain
more than one term separated by ‘+’ signs (e.g., ~ x1 +
x2 | g1 * g2). What happens in this case is described in the
documentation for xyplot. Note that in either form,
all the terms in the formula must have the same length after
evaluation.
For the numeric and factor methods, x is the
variable whose histogram or Kernel density estimate is drawn.
Conditioning is not allowed in these cases.
For the formula method, an optional data source (usually a
data frame) in which variables are to be evaluated (see
xyplot for details). data should not be
specified for the other methods, and is ignored with a warning if it
is.
The formula to be used for the "data.frame" methods. See
documentation for argument x for details.
A character string indicating the type of histogram that is to be
drawn. "percent" and "count" give relative frequency
and frequency histograms respectively, and can be misleading when
breakpoints are not equally spaced. "density" produces a
density histogram.
type defaults to "density" when the breakpoints are
unequally spaced, and when breaks is NULL or a
function, and to "percent" otherwise.
An integer specifying the number of histogram bins, applicable only
when breaks is unspecified or NULL in the call.
Ignored when the variable being plotted is a factor.
A numeric vector of length 2 indicating the range of x-values that
is to be covered by the histogram. This applies only when
breaks is unspecified and the variable being plotted is not a
factor. In do.breaks, this specifies the interval that is to
be divided up.
Usually a numeric vector of length (number of bins + 1) defining the
breakpoints of the bins. Note that when breakpoints are not equally
spaced, the only value of type that makes sense is density.
When breaks is unspecified, the value of
lattice.getOption("histogram.breaks") is first checked. If
this value is NULL, then the default is to use
breaks = seq_len(1 + nlevels(x)) - 0.5
when x is a factor, and
breaks = do.breaks(endpoints, nint)
otherwise. Breakpoints calculated in such a manner are used in all
panels. If the retrieved value is not NULL, or if
breaks is explicitly specified, it affects the display in
each panel independently. Valid values are those accepted as the
breaks argument in hist. In particular, this
allows specification of breaks as an integer giving the
number of bins (similar to nint), as a character string
denoting a method, or as a function.
When specified explicitly, a special value of breaks is
NULL, in which case the number of bins is determined by
nint and then breakpoints are chosen according to the value
of equal.widths.
A logical flag, relevant only when breaks=NULL. If
TRUE, equally spaced bins will be selected, otherwise,
approximately equal area bins will be selected (typically producing
unequally spaced breakpoints).
Integer, giving the number of points at which the kernel density is
to be evaluated. Passed on as an argument to density.
A function, called once for each panel, that uses the packet (subset
of panel variables) corresponding to the panel to create a display.
The default panel functions panel.histogram and
panel.densityplot are documented separately, and have
arguments that can be used to customize its output in various ways.
Such arguments can usually be directly supplied to the high-level
function.
See xyplot.
See xyplot.
See xyplot.
See xyplot.
See xyplot.
See xyplot.
See xyplot. Note that the default panel function for
histogram does not support grouped displays, whereas the one
for densityplot does.
See xyplot.
See xyplot.
See xyplot.
See xyplot.
See xyplot.
See xyplot.
See xyplot.
Fallback prepanel function. See xyplot.
numeric vector of weights for the density
calculations, evaluated in the non-standard manner used for
groups and terms in the formula, if any. If this is
specified, it is subsetted using subscripts inside the panel
function to match it to the corresponding x values.
At the time of writing, weights do not work in conjunction
with an extended formula specification (this is not too hard to fix,
so just bug the maintainer if you need this feature).
Arguments controlling bandwidth. Passed on as arguments to
density.
The choice of kernel. Passed on as arguments to
density.
Logical flag, passed on as argument to density.
This argument is made available only for ease of implementation, and
will produce an error if TRUE.
Controls range over which density is evaluated. Passed on as
arguments to density.
Logical flag specifying whether NA values should be ignored.
Passed on as argument to density, but unlike in
density, the default is TRUE.
Further arguments. See corresponding entry in
xyplot for non-trivial details.
Deepayan Sarkar Deepayan.Sarkar@R-project.org
histogram draws Conditional Histograms, and densityplot
draws Conditional Kernel Density Plots. The default panel function
uses the density function to compute the density
estimate, and all arguments accepted by density can be
specified in the call to densityplot to control the output.
See documentation of density for details.
These and all other high level Trellis functions have several
arguments in common. These are extensively documented only in the
help page for xyplot, which should be consulted to learn more
detailed usage.
do.breaks is an utility function that calculates breakpoints
given an interval and the number of pieces to break it into.
Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R, Springer. http://lmdvr.r-forge.r-project.org/
xyplot,
panel.histogram,
density,
panel.densityplot,
panel.mathdensity,
Lattice
require(stats)
histogram( ~ height | voice.part, data = singer, nint = 17,
endpoints = c(59.5, 76.5), layout = c(2,4), aspect = 1,
xlab = "Height (inches)")
histogram( ~ height | voice.part, data = singer,
xlab = "Height (inches)", type = "density",
panel = function(x, ...) {
panel.histogram(x, ...)
panel.mathdensity(dmath = dnorm, col = "black",
args = list(mean=mean(x),sd=sd(x)))
} )
densityplot( ~ height | voice.part, data = singer, layout = c(2, 4),
xlab = "Height (inches)", bw = 5)
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