R: Apply a function to vector data

binApply1D {oce} | R Documentation

## Apply a function to vector data

### Description

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

### Usage

    binApply1D(x, f, xbreaks, FUN, ...)

### Arguments

`x` | 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.
`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.

### Author(s)

Dan Kelley

### See Also

Other bin-related functions: `binApply2D`, `binAverage`, `binCount1D`, `binCount2D`, `binMean1D`, `binMean2D`

### Examples

    library(oce)
    ## salinity profile with median and quartile 1 and 3
    data(ctd)
    p <- ctd[["pressure"]]
    S <- ctd[["salinity"]]
    q1 <- binApply1D(p, S, pretty(p, 30), function(x) quantile(x, 1/4))
    q3 <- binApply1D(p, S, pretty(p, 30), function(x) quantile(x, 3/4))
    plotProfile(ctd, "salinity", col='gray', type='n')
    polygon(c(q1$result, rev(q3$result)),
    c(q1$xmids, rev(q1$xmids)), col='gray')
    points(S, p, pch=20)

[Package oce version 1.0-1 Index]