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.

Usage

<!-- %% In future: No longer export   gplot.hexbin() ! -->
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"))
<!-- %% FIXME: This is the S4 plot method for 'hexbin' -->
<!-- %%        currently also exported "standalone" - for testing,debugging.. -->
<!-- %% we'd really don't want to repeat the argument list; use \synopsis{.} ? -->
# S4 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) 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.

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.

All arguments of gplot.hexbin can also be used for the S4 plot method.

Value

invisibly, a list with components

plot.vp: the hexViewport constructed and used.
legend.vp: if a legend has been produced, its viewport.

References

see in grid.hexagons.

Author

Dan Carr [email protected], ported by Nicholas Lewin-Koh [email protected] and Martin Maechler.

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")
##

library("grid")
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!