oce (version 1.1-1)

binAverage: Bin-average a vector y, based on x values

Description

The y vector is averaged in bins defined for x. Missing values in y are ignored.

Usage

binAverage(x, y, xmin, xmax, xinc)

Arguments

x

a vector of numerical values.

y

a vector of numerical values.

xmin

x value at the lower limit of first bin; the minimum x will be used if this is not provided.

xmax

x value at the upper limit of last bin; the maximum x will be used if this is not provided.

xinc

width of bins, in terms of x value; 1/10th of xmax-xmin will be used if this is not provided.

Value

A list with two elements: x, the mid-points of the bins, and y, the average y value in the bins.

See Also

Other bin-related functions: binApply1D, binApply2D, binCount1D, binCount2D, binMean1D, binMean2D

Examples

# NOT RUN {
library(oce)
## A. fake linear data
x <- seq(0, 100, 1)
y <- 1 + 2 * x
plot(x, y, pch=1)
ba <- binAverage(x, y)
points(ba$x, ba$y, pch=3, col='red', cex=3)

## B. fake quadratic data
y <- 1 + x ^2
plot(x, y, pch=1)
ba <- binAverage(x, y)
points(ba$x, ba$y, pch=3, col='red', cex=3)

## C. natural data
data(co2)
plot(co2)
avg <- binAverage(time(co2), co2, 1950, 2000, 2)
points(avg$x, avg$y, col='red')
# }

Run the code above in your browser using DataCamp Workspace