Histograms or Density Plots of Multiple Groups
DESCRIPTION:
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 = if(is.trellis()) trellis.par.get("bar.fill")$col else 2,
xlab = deparse(substitute(data)), bty = "n", ...)
REQUIRED 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
.
OPTIONAL ARGUMENTS:
- 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.
SEE ALSO:
.