binApply2D | R Documentation |
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, ...)
x |
a vector of numerical values. |
y |
a vector of numerical values. |
f |
a vector of data to which the elements of |
xbreaks |
values of |
ybreaks |
as |
FUN |
univariate function that is applied to the |
... |
arguments to pass to the function |
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.
Dan Kelley
Other bin-related functions:
binApply1D()
,
binAverage()
,
binCount1D()
,
binCount2D()
,
binMean1D()
,
binMean2D()
library(oce)
# 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")
}
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