Histograms or Density Plots of Multiple Groups
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 ( |
g |
factor or vector giving groups, of the same length as |
nbins |
Suggested number of bins to cover the whole range of the data. |
h |
The bin width (takes precedence over |
x0 |
Shift for the bins - the breaks are at |
breaks |
The set of breakpoints to be used. (Usually omitted, takes precedence
over |
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 |
bty |
The box type for the plot - defaults to none. |
... |
additional arguments to |
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.
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