# ldahist

0th

Percentile

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

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

Keywords
hplot, dplot
##### 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 (NAs) 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.