# ldahist: Histograms or Density Plots of Multiple Groups In MASS: Support Functions and Datasets for Venables and Ripley's MASS

## Description

Plot histograms or density plots of data on a single Fisher linear discriminant.

## Usage

 ```1 2 3 4 5``` ```ldahist(data, g, nbins = 25, h, x0 = - h/1000, breaks, xlim = range(breaks), ymax = 0, width, type = c("histogram", "density", "both"), sep = (type != "density"), col = 5, xlab = deparse(substitute(data)), bty = "n", ...) ```

## Arguments

 `data` vector of data. Missing values (`NA`s) are allowed and omitted. `g` factor or vector giving groups, of the same length as `data`. `nbins` Suggested number of bins to cover the whole range of the data. `h` The bin width (takes precedence over `nbins`). `x0` Shift for the bins - the breaks are at `x0 + h * (..., -1, 0, 1, ...)` `breaks` The set of breakpoints to be used. (Usually omitted, takes precedence over `h` and `nbins`). `xlim` The limits for the x-axis. `ymax` The upper limit for the y-axis. `width` Bandwidth for density estimates. If missing, the Sheather-Jones selector is used for each group separately. `type` Type of plot. `sep` Whether there is a separate plot for each group, or one combined plot. `col` The colour number for the bar fill. `xlab` label for the plot x-axis. By default, this will be the name of `data`. `bty` The box type for the plot - defaults to none. `...` additional arguments to `polygon`.

## Side Effects

Histogram and/or density plots are plotted on the current device.

## References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

`plot.lda`.