f(x,y) in bins defined on
vectors x and y. A common example might be averaging
spatial data into location bins.
binMean2D(x, y, f, xbreaks, ybreaks, flatten = FALSE, fill = FALSE, fillgap = -1)x at the boundaries between bins, calculated using
pretty(x) if not supplied.y at the boundaries between bins, calculated using
pretty(y) if not supplied.x, y, z and n, a flattened
representation of xmids, ymids, result and
number.NA-value gaps in
the matrix. Gaps will be filled as the average of linear interpolations
across rows and columns. See fillgap, which works together with this.x and y), the count (number) of f(x,y) values
for x and y values that lie between corresponding breaks,
and the resultant average (f) of f(x,y), classified by the
x and y breaks.
binApply1D,
binApply2D, binAverage,
binCount1D, binCount2D,
binMean1D
library(oce)
x <- runif(500)
y <- runif(500)
f <- x + y
xb <- seq(0, 1, 0.1)
yb <- seq(0, 1, 0.2)
m <- binMean2D(x, y, f, xb, yb)
plot(x, y)
contour(m$xmids, m$ymids, m$result, add=TRUE, levels=seq(0, 2, 0.5), labcex=1)
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