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

```
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", …)
```

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`

.

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

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