gplot.hexbin

0th

Percentile

Plotting Hexagon Cells with a Legend

Plots Hexagons visualizing the counts in an hexbin object. Different styles are availables. Provides a legend indicating the count representations.

Keywords
hplot
Usage
gplot.hexbin(x, style = "colorscale", legend = 1.2, lcex = 1,
      minarea = 0.04, maxarea = 0.8, mincnt = 1, maxcnt = max(x@count),
      trans = NULL, inv = NULL, colorcut = seq(0, 1, length = min(17, maxcnt)),
      border = NULL, density = NULL, pen = NULL,
      colramp = function(n) LinGray(n,beg = 90,end = 15),
      xlab = "", ylab = "", main = "", newpage = TRUE,
      type = c("p", "l", "n"), xaxt = c("s", "n"), yaxt = c("s", "n"),
      clip = "on", verbose = getOption("verbose"))## S3 method for class 'hexbin,missing':
plot(x, style = "colorscale", legend = 1.2, lcex = 1,
      minarea = 0.04, maxarea = 0.8, mincnt = 1, maxcnt = max(x@count),
      trans = NULL, inv = NULL, colorcut = seq(0, 1, length = min(17, maxcnt)),
      border = NULL, density = NULL, pen = NULL,
      colramp = function(n) LinGray(n,beg = 90,end = 15),
      xlab = "", ylab = "", main = "", newpage = TRUE,
      type = c("p", "l", "n"), xaxt = c("s", "n"), yaxt = c("s", "n"),
      clip = "on", verbose = getOption("verbose"))
Arguments
x
an object of class hexbin.
style
string specifying the style of hexagon plot, see grid.hexagons for the possibilities.
legend
numeric width of the legend in inches of FALSE. In the latter case, or when 0, no legend is not produced.
lcex
characters expansion size for the text in the legend
minarea
fraction of cell area for the lowest count
maxarea
fraction of the cell area for the largest count
mincnt
cells with fewer counts are ignored.
maxcnt
cells with more counts are ignored.
trans
function specifying a transformation for the counts such as sqrt.
inv
the inverse transformation of trans.
colorcut
vector of values covering [0, 1] that determine hexagon color class boundaries and hexagon legend size boundaries. Alternatively, an integer (<= maxcnt<="" code="">) specifying the number of equispaced colorcut values in [0,1].
border, density, pen
color for polygon borders and filling of each hexagon drawn, passed to grid.hexagons.
colramp
function accepting an integer n as an argument and returning n colors.
xlab, ylab
x- and y-axis label.
main
main title.
newpage
should a new page start?.
type, xaxt, yaxt
strings to be used (when set to "n") for suppressing the plotting of hexagon symbols, or the x- or y-axis, respectively.
clip
either 'on' or 'off' are the allowed arguments, when on everything is clipped to the plotting region.
verbose
logical indicating if some diagnostic output should happen.
...
all arguments of gplot.hexbin can also be used for the S4 plot method.
Details

This is the (S4) plot method for hexbin (and erodebin) objects (erodebin-class).

To use the standalone function gplot.hexbin() is deprecated. For style, minarea etc, see the Details section of grid.hexagons's help page.

The legend functionality is somewhat preliminary. Later versions may include refinements and handle extreme cases (small and large) for cell size and counts.

Value

  • invisibly, a list with components
  • plot.vpthe hexViewport constructed and used.
  • legend.vpif a legend has been produced, its viewport.

References

see in grid.hexagons.

See Also

hexbin, hexViewport, smooth.hexbin, erode.hexbin, hcell2xy, hboxplot, hdiffplot.

Aliases
  • gplot.hexbin
  • plot,hexbin,missing-method
Examples
## 1) simple binning of spherical normal:
x <- rnorm(10000)
y <- rnorm(10000)
bin <- hexbin(x,y)

## Plot method for hexbin !
## ---- ------     --------
plot(bin)
# nested lattice
plot(bin, style= "nested.lattice")

# controlling the colorscheme
plot(bin, colramp=BTY, colorcut=c(0,.1,.2,.3,.4,.6,1))

## 2) A mixture distribution
x <- c(rnorm(5000),rnorm(5000,4,1.5))
y <- c(rnorm(5000),rnorm(5000,2,3))
bin <- hexbin(x,y)

pens <- cbind(c("#ECE2F0","#A6BDDB","#1C9099"),
              c("#FFF7BC","#FEC44F","#D95F0E"))
plot(bin, style = "nested.lattice", pen=pens)
# now really crazy
plot(bin, style = "nested.lattice", pen=pens,border=2,density=35)

# lower resolution binning and overplotting with counts
bin <- hexbin(x,y,xbins=25)
P <- plot(bin, style="lattice", legend=FALSE,
          minarea=1, maxarea=1, border="white")
##
pushHexport(P$plot.vp)
xy <- hcell2xy(bin)
  # to show points rather than counts :
grid.points(x,y,pch=18,gp=gpar(cex=.3,col="green"))
grid.text(as.character(bin@count), xy$x,xy$y,
          gp=gpar(cex=0.3, col="red"),default.units="native")
popViewport()

# Be creative, have fun!
Documentation reproduced from package hexbin, version 1.29.0, License: GPL-2

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