binApply2D: Apply a Function to Matrix Data

View source: R/bin.R

binApply2DR Documentation

Apply a Function to Matrix Data

Description

The function FUN is applied to f in bins specified by xbreaks and ybreaks.

Usage

binApply2D(x, y, f, xbreaks, ybreaks, FUN, include.lowest = FALSE, ...)

Arguments

x

a vector of numerical values.

y

a vector of numerical values.

f

a vector of data to which FUN will be applied.

xbreaks

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

ybreaks

as xbreaks, but for y.

FUN

function that is applied to the f values in each (x,y) bin. This must take two numeric vectors as input, and return a single numeric value.

include.lowest

logical value indicating whether to include x values that equal xbreaks[1] and y values that equal ybreaks[1]. See “Details”.

...

optional arguments to pass to FUN.

Details

The division into bins is done with cut(), to which include.lowest is passed. By default, the x bins are open at the left and closed on the right, and the y bins are open at the bottom and closed at the top. However, if include.lowest is TRUE, then those boundary points are included in the calculation.

Value

A list with the following elements: xbreaks and ybreaks as used, mid-points xmids and ymids, and result, a matrix containing the result of applying FUN() to the f values in the designated bins.

Author(s)

Dan Kelley

See Also

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


oce documentation built on Sept. 11, 2024, 7:09 p.m.