number of classes that should be used to find the width of the bars
of the histogram(s).
n.hist
number of histograms that should be plotted.
main
used for call of title.
ylab
text for y axis.
night
If TRUE the background will be colored blue.
If FALSE there will be no colored background. Otherwise
night is used as background color.
col.bars
defines the color of the bars. If is.na(col.bars) and
night==TRUE the bars will be colored gray.
col.border
color of the borders of the bars.
lwd.border
line width of the borders of the bars.
n.shading
number of vertical lines for filling the bars of the histograms.
lwd.shading
line width of the vertical lines for shading the bars.
col.shading
color for the vertical lines for shading. If NA heat colors are used.
lty.shading
line type for the vertical lines for shading.
pcol.data
color of data points.
cex.data
character size of plotting character.
pch.data
plotting character of data points.
lwd.data
line width for segments between data points.
col.data
color for segments between data points.
permutation
if not FALSE a permutation of the data set is erformed.
xlab
text for y axis.
xlim
range of x.
ylim
range of y.
new.plot
logical. If TRUE a new plot is constructed.
bty
box type, used by plot.
...
further graphical parameters passed to plot.
Details
skyline.hist computes several histograms and plots them one upon
the other. The histograms differ in the positions of the first cells,
but all cells have the same width. The parameters n.class and
n.hist have the greatest effect on the design of the result.
col.border allows to color the border of the rectangular boxes of the
histogram bars. col.bars defines the fill color of the bars.
n.shading defines the number of vertical lines of type
lty.shading and width lwd.shading that are drawn within the boxes.
Another feature of skyline.hist is to represent the data points.
The data points of a cell are plotted according their x-values and
their ranks (within the points of the cell). The resulting points are connected
by line segments and you will see a time series running from bottom to top
in each cell. The points and lines can be specified by pcol.data,
cex.data, pch.data, lwd.data, col.data. To get rid
of the original order of the data you can permutated them (permutation=1).
The "skyline" of the plot may be similar to the skyline of a town and the
vertical lines may look like small windows of buildings.
In Young et. al. you find "shaded histograms". These histograms have triggered
the idea of skyline.hist and the representation of a one dimensional
data set by laying histograms on top of otheroverlied histograms.