hdiffplot {hexbin} | R Documentation

## Plot of Domain and Median Differences of Two "hexbin" Objects

### Description

Let `bin1` and `bin2` represent two `hexbin` objects with scaling, plot shapes, and bin sizes. This plot distinguishes cells unique to `bin1`, cells in common, and cells unique to `bin2` using color. When the erode components are present, color also distinguishes the two erosion medians. An arrow shows the vector from the median of `bin1` to the median of `bin2`.

### Usage

    hdiffplot(bin1, bin2 = NULL, xbnds, ybnds,
              focus = NULL,
              col.control = list(medhex = "white", med.bord = "black",
              focus = NULL, focus.border = NULL, back.col = "grey"),
              arrows = TRUE, size = unit(0.1, "inches"), lwd = 2,
              eps = 1e-6, unzoom = 1.08, clip="off", xlab = "", ylab = "",
              main = deparse(mycall), ...)

### Arguments

`bin1, bin2` | two objects of class `hexbin`.
`xbnds,ybnds` | global x- and y-axis plotting limits. Used primarily for multiple comparison plots.
`focus` | a vector of integers specifying which hexbin objects should be treated as focal. Excluded hexbins are treated as background.
`col.control` | a list for detailed color control.
`arrows` | a logical indicating wheter or not to draw arrows between the focal hexbin objects median cells.
`border` | border arguments to polygon
`size` | arrow type size in inches.
`eps` | distance criteria for distinct medians
`unzoom` | plot limit expansion factor when xbnds is missing
`clip` | either 'on' or 'off' are the allowed arguments, when on everything is clipped to the plotting region.
`lwd` | Line width for arrows, ignored when `arrows=FALSE` or when bins have no erosion component
`xlab` | label for x-axis
`ylab` | label for y-axis
`main` | main title for the plot; automatically constructed by default.
`...` | ...............

### Details

The hexbin objects for comparison, `bin1` and `bin2`, must have the same plotting limits and cell size. The plot produces a comparison overlay of the cells in the two objects. If external global scaling is not supplied, the algorithm determines plotting limits to increase resolution. For example, the objects may be the result of the `erode.hexbin()` and include only high count cells containing 50 of the counts. The density, border, and pen arguments correspond to the polygon function calls for plotting six types of cells. The cell types are respectively:

unique cells of bin1,
joint cells,
unique cells of bin2,
median cell of bin1,
median cell of bin2,
median cell if identical.

The `erode` components of the hexbin objects must be present for the medians to plot. The algorithm select a single cell for the median if there are algorithmic ties.

The `pen` numbers for types of cells start at Pen 2. Pen 1 is presumed black. The suggested six additional colors are light blue, light gray, light red, blue, red, and black. Carr (1991) shows an example for black and white printing. That plot changes the six colors to light gray, dark gray, white, black, black, and black. It changes the 4th, 5th, and 6th argument of border to TRUE. It also changes 4th, 5th and 6th argument of density to 0. In other words cells in common do not show and medians cells appear as outlines.

When `xbnds` is missing, the plot changes graphics parameters and resets them. The function also zooms in based on the available data to provide increased resolution.

### References

see in `grid.hexagons`.

### See Also

`hexbin`, `smooth.hexbin`, `erode.hexbin`, `hcell2xy`, `gplot.hexbin`, `hboxplot`, `grid.hexagons`, `grid.hexlegend`.

### Examples

    ## Comparison of two bivariate boxplots
    x1 <- rnorm(10000)
    y1 <- rnorm(10000)
    x2 <- rnorm(10000,mean=.5)
    y2 <- rnorm(10000,mean=.5)
    xbnds <- range(x1,x2)
    ybnds <- range(y1,y2)

    bin1 <- hexbin(x1,y1,xbnds=xbnds,ybnds=ybnds)
    bin2 <- hexbin(x2,y2,xbnds=xbnds,ybnds=ybnds)
    erodebin1 <- erode.hexbin(smooth.hexbin(bin1))
    erodebin2 <- erode.hexbin(smooth.hexbin(bin2))

    hdiffplot(erodebin1,erodebin2)

    ## Compare  *three* of them: --------------------

    x3 <- rnorm(10000,mean=-1)
    y3 <- rnorm(10000,mean=-.5)
    xbnds <- range(x1,x2,x3)
    ybnds <- range(y1,y2,y3)

    bin1 <- hexbin(x1,y1,xbnds=xbnds,ybnds=ybnds)
    bin2 <- hexbin(x2,y2,xbnds=xbnds,ybnds=ybnds)
    bin3 <- hexbin(x3,y3,xbnds=xbnds,ybnds=ybnds)
    erodebin1 <- erode.hexbin(smooth.hexbin(bin1))
    erodebin2 <- erode.hexbin(smooth.hexbin(bin2))
    erodebin3 <- erode.hexbin(smooth.hexbin(bin3))

    bnlst <- list(b1=erodebin1, b2=erodebin2, b3=erodebin3)
    hdiffplot(bnlst)

[Package hexbin version 1.4.0 Index]