gplot.hexbin {hexbin} | R Documentation |
Plots Hexagons visualizing the counts in an hexbin object. Different styles are availables. Provides a legend indicating the count representations.
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")) ## S4 method for signature '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"))
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. |
... |
all arguments of gplot.hexbin can also be used for
the S4 plot method. |
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.
invisibly, a list with components
plot.vp |
the hexViewport constructed and used. |
legend.vp |
if a legend has been produced, its
viewport . |
Dan Carr dcarr@voxel.galaxy.gmu.edu, ported by Nicholas Lewin-Koh kohnicho@comp.nus.edu.sg and Martin Maechler.
see in grid.hexagons
.
hexbin
, hexViewport
,
smooth.hexbin
,
erode.hexbin
,
hcell2xy
, hboxplot
,
hdiffplot
.
## 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!