# ldahist

##### Histograms or Density Plots of Multiple Groups

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

##### Usage

```
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.

##### See Also

*Documentation reproduced from package MASS, version 7.3-51.6, License: GPL-2 | GPL-3*