SlidingWindow: Sliding window analysis

In evobiR: Comparative and Population Genetic Analyses

Description

Applies a function within a sliding window of a numeric vector. Both the step size and the window size can be set by the user.

Usage

SlidingWindow(FUN, data, window, step)

Arguments

FUN	a function to be applied within each window.
data	a numerical vector.
window	an integer setting the size of the window.
step	an integer setting the size of step between windows.

Details

Returns a vector of numeric values representing the applying the selected function within each window. The length will be unequal to the original data and will be determined primarily by the step size.

Author(s)

Heath Blackmon

References

http://coleoguy.github.io/

Examples

data <- c(1,2,1,2,10,2,1,2,1,2,3,4,5,6,2,5)
SlidingWindow("mean", data, 3, 1)

Example output

sh: 1: cannot create /dev/null: Permission denied
sh: 1: cannot create /dev/null: Permission denied
 [1] 1.333333 1.666667 4.333333 4.666667 4.333333 1.666667 1.333333 1.666667
 [9] 2.000000 3.000000 4.000000 5.000000 4.333333

evobiR documentation built on May 2, 2019, 5:40 a.m.