oce (version 0.9-23)

binApply2D: Apply a function to matrix data

Description

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.)

Usage

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 bins; calculated using pretty if not supplied.

ybreaks

values of y at the boundaries between bins; calculated using pretty if not supplied.

FUN

function to apply to the data

…

arguments to pass to the function FUN

Value

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

See Also

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

Examples

# NOT RUN {
library(oce)
# }
# NOT RUN {
## secchi depths in lat and lon bins
if (require(ocedata)) {
    data(secchi, package="ocedata")
    col <- rev(oce.colorsJet(100))[rescale(secchi$depth,
                                           xlow=0, xhigh=20,
                                           rlow=1, rhigh=100)]
    zlim <- c(0, 20)
    breaksPalette <- seq(min(zlim), max(zlim), 1)
    colPalette <- rev(oce.colorsJet(length(breaksPalette)-1))
    drawPalette(zlim, "Secchi Depth", breaksPalette, colPalette)
    data(coastlineWorld)
    mapPlot(coastlineWorld, longitudelim=c(-5, 20), latitudelim=c(50, 66),
      grid=5, fill='gray', projection="+proj=lcc +lat_1=50 +lat_2=65")
    bc <- binApply2D(secchi$longitude, secchi$latitude,
                     pretty(secchi$longitude, 80),
                     pretty(secchi$latitude, 40),
                     f=secchi$depth, FUN=mean)
    mapImage(bc$xmids, bc$ymids, bc$result, zlim=zlim, col=colPalette)
    mapPolygon(coastlineWorld, col='gray')
}
# }