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somplot (version 1.6.4)

makehexbinplot: Function, used by som.plot to create plots of Kohonen maps

Description

The function is used by som.plot. It is not necessary to call makehexbinplot directly.

Usage

makehexbinplot(data, col = NA, show.legend = TRUE, legend.width = 4, turn = FALSE, window.width = NA, window.height = NA, onlyDefCols = FALSE, scaleX = NA, scaleY = NA, scale = NA, new.xdim = NA, new.ydim = NA, show.box = TRUE, show.axis = FALSE, edit.cols = FALSE, show.counter.border = 0.98, ...)

Arguments

data
data frame to be plotted
col
default colours for the classes of the dataset. Possible values include:
  • default value: NA. Colours are generated by rainbow()
  • vector of colour definitions
  • data frame with name of a class in column 1 and colour definitions in column 2 If the number of defined colours is smaller then the number of classes in the dataset, colours for the remaining classes are generated by rainbow

show.legend
default: TRUE; defines if colour legend is displayed
legend.width
default: 4; Width of legend
turn
default: FALSE; swap X and Y axis
window.width
default: NA; width of the window
window.height
default: NA; height of the window
onlyDefCols
default: FALSE; if TRUE, all undefined colours are replaced by white
scaleX
default: NA; scale factor for X axis
scaleY
default: NA; scale factor for Y axis
scale
default: NA; scale factor for X and Y axis
new.xdim
default: NA; scale X axis to specified number of neurons
new.ydim
default: NA; scale Y axis to specified number of neurons
show.box
default: TRUE; show frame around the plot
show.axis
default: FALSE; show x and Y axis
edit.cols
default: FALSE; if TRUE, a dialog box opens and allows editing of all color definitions
show.counter.border
percentile as limit for the display of labels in the pie charts.
...
In addition all arguments accepted by plot() are allowed.

Value

The function does not returns a value.

Warning

The function is called by som.plot() and not intented to be used directly.

References

see function som.plot()

Examples

Run this code
## Not run: 
# 		(data.frame(coo[, c(1,2)], kat = dat[-1, dat[1,1]+1]), ...)
# 	## End(Not run)

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