The function FUN is applied to f in bins specified by xbreaks and ybreaks. (If FUN is mean(), consider using binMean2D() instead, since it should be faster.)

binApply2D(x, y, f, xbreaks, ybreaks, FUN, ...)

Arguments

x

a vector of numerical values.

y

a vector of numerical values.

f

a vector of data to which the elements of FUN may be supplied

xbreaks

values of x at the boundaries between the bins; calculated using pretty() if not supplied.

ybreaks

as xbreaks, but for y.

FUN

univariate function that is applied to the f data within any given bin

...

arguments to pass to the function FUN

Value

A list with the following elements: the breaks in x and y (i.e. xbreaks and ybreaks), the break mid-points (i.e. xmids and ymids), and a matrix containing the result of applying FUN() to the f values, as subsetted by these breaks.

See also

Other bin-related functions: binApply1D(), binAverage(), binCount1D(), binCount2D(), binMean1D(), binMean2D()

Examples

library(oce) # \donttest{ ## secchi depths in lat and lon bins if (requireNamespace("ocedata", quietly=TRUE)) { data(secchi, package="ocedata") ## Note that zlim is provided to the colormap(), to prevent a few ## points from setting a very wide scale. cm <- colormap(z=secchi$depth, col=oceColorsViridis, zlim=c(0, 15)) par(mar=c(2, 2, 2, 2)) drawPalette(colormap=cm, zlab="Secchi Depth") data(coastlineWorld) mapPlot(coastlineWorld, longitudelim=c(-5, 20), latitudelim=c(50, 66), grid=5, col='gray', projection="+proj=lcc +lat_1=50 +lat_2=65") bc <- binApply2D(secchi$longitude, secchi$latitude, pretty(secchi$longitude, 80), pretty(secchi$latitude, 40), f=secchi$depth, FUN=mean) mapImage(bc$xmids, bc$ymids, bc$result, zlim=cm$zlim, col=cm$zcol) mapPolygon(coastlineWorld, col="gray") }
# }