R: Histograms and Kernel Density Plots

B_03_histogram {lattice}

R Documentation

Histograms and Kernel Density Plots

Description

Draw Histograms and Kernel Density Plots, possibly conditioned on other variables.

Usage

histogram(x, data, ...)
densityplot(x, data, ...)
## S3 method for class 'formula'
histogram(x,
          data,
          allow.multiple, outer = TRUE,
          auto.key = FALSE,
          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 class 'numeric'
histogram(x, data = NULL, xlab, ...)
## S3 method for class 'factor'
histogram(x, data = NULL, xlab, ...)

## S3 method for class 'formula'
densityplot(x,
            data,
            allow.multiple = is.null(groups) || outer,
            outer = !is.null(groups),
            auto.key = FALSE,
            aspect = "fill",
            panel = lattice.getOption("panel.densityplot"),
            prepanel, scales, strip, groups, weights,
            xlab, xlim, ylab, ylim,
            bw, adjust, kernel, window, width, give.Rkern,
            n = 50, 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 class 'numeric'
densityplot(x, data = NULL, xlab, ...)

do.breaks(endpoints, nint)

Arguments

`x`	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.
`data`	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.
`type`	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 or `breaks = NULL`, and to `"percent"` otherwise.
`nint`	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.
`endpoints`	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.
`breaks`	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 unspecified, 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. Other values of `breaks` are possible, in which case they affect the display in each panel differently. 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`. Other valid values of `breaks` are those of the `breaks` argument in `hist`. 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.
`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).
`n`	Integer, giving the number of points at which the kernel density is to be evaluated. Passed on as an argument to `density`.
`panel`	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.
`allow.multiple, outer`	See `xyplot`.
`auto.key`	See `xyplot`.
`aspect`	See `xyplot`.
`prepanel`	See `xyplot`.
`scales`	See `xyplot`.
`strip`	See `xyplot`.
`groups`	See `xyplot`. Note that the default panel function for `histogram` does not support grouped displays, whereas the one for `densityplot` does.
`xlab, ylab`	See `xyplot`.
`xlim, ylim`	See `xyplot`.
`drop.unused.levels`	See `xyplot`.
`lattice.options`	See `xyplot`.
`default.scales`	See `xyplot`.
`subscripts`	See `xyplot`.
`subset`	See `xyplot`.
`default.prepanel`	Fallback prepanel function. See `xyplot`.
`weights`	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).
`bw, adjust, width`	Arguments controlling bandwidth. Passed on as arguments to `density`.
`kernel, window`	The choice of kernel. Passed on as arguments to `density`.
`give.Rkern`	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`.
`from, to, cut`	Controls range over which density is evaluated. Passed on as arguments to `density`.
`na.rm`	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.

Details

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. Note that the default value of the argument n of density is changed to 50.

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.

Value

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.

Note

The form of the arguments accepted by the default panel function panel.histogram is different from that in S-PLUS. Whereas S-PLUS calculates the heights inside histogram and passes only the breakpoints and the heights to the panel function, lattice simply passes along the original variable x along with the breakpoints. This approach is more flexible; see the example below with an estimated density superimposed over the histogram.

Author(s)

Deepayan Sarkar Deepayan.Sarkar@R-project.org

References

Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R, Springer. http://lmdvr.r-forge.r-project.org/

Examples

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)

[Package lattice version 0.20-6 Index]