Histogram
Description
plot multiple histograms in one plot
Usage
1 2 3 4 5  histogram.ade(x, group=NULL, w=NULL, data=NULL, vnames=NULL, freq=FALSE,
breaks="Sturges", density=NULL, angle=NULL, xlab=NULL, ylab=NULL,
main="", xlim=NULL, ylim=NULL, legendon="topright", xticks=NULL,
col=NULL, tcol=NULL, bgcol=NULL, lcol=NULL, alpha=NULL, lwd=1,
kern=TRUE, norm=TRUE, bars=TRUE, wall=0, v=NULL, h=NULL, lty=2)

Arguments
x 

group 

w 
weights for weighted histograms 
data 
a data.frame 
vnames 
a vector of character strings with the names of groups in the legend 
freq 
logical: TRUE representation of frequencies or FALSE component density. 
breaks 
a single number giving the number of cells for the histogram 
density 
the density of shading lines, in lines per inch. Set it to NA avoid shading lines with wall=0. 
angle 
the vector of slopes of shading lines, given as an angle in degrees (counterclockwise). 
xlab 
a title for the x axis 
ylab 
a title for the y axis 
main 
an overall title for the plot 
xlim 
the x limits (x1, x2) of the plot 
ylim 
the y limits (y1, y2) of the plot 
legendon 
a single keyword from:
This places the legend on the inside of the plot frame at the given location. 
xticks 
the number of ticks on the x axis or a vector of exact ticks 
col 
colors for each histogram 
tcol 
color of the text in whole plot 
bgcol 
the background color for plot dekoration 
lcol 
color for the lines in plot, a vector of colors is possible, only used if h or v is given 
alpha 
a parameter in [0, 1] for semitransparency of histogram 
lwd 
the line width 
kern 
logical asking whether to draw lines for kernel density estimation 
norm 
logical asking whether to draw density from normal distribution for comparison 
bars 
logical asking whether to draw bars or only polygones of kernel density estimation 
wall 
a number between 0 and 6 for selection the dekoration style of the plot. 
v 
the xvalue(s) for vertical line(s). 
h 
the yvalue(s) for horizontal line(s). 
lty 
the line type, a vector of types is possible 
Examples
1 2 3 4  g<rbinom(1000, 1, 0.5)
x<rnorm(1000)+g
histogram.ade(x, g, wall=3, breaks=24)
histogram.ade(x, g, wall=2, bars=FALSE)

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