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

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

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')