bin_changes {Claddis} | R Documentation |
Counts the changes in a series of time bins
Description
Given a vector of dates for a series of time bins and another for the times when a character change occurred will return the total number of changes in each bin.
Usage
bin_changes(change_times, time_bins)
Arguments
change_times |
A vector of ages in millions of years at which character changes are hypothesised to have occurred. |
time_bins |
An object of class |
Details
Calculates the total number of evolutionary changes in a series of time bins. This is intended as an internal function for rate calculations, but could be used for other purposes (e.g., counting any point events in a series of time bins).
Value
A vector giving the number of changes for each time bin. Names indicate the maximum and minimum (bottom and top) values for each time bin.
Author(s)
Graeme T. Lloyd graemetlloyd@gmail.com
Examples
# Create a random dataset of 100 changes (between 100 and 0 Ma):
change_times <- stats::runif(n = 100, min = 0, max = 100)
# Create 10 equal-length time bins:
time_bins <- matrix(data = c(seq(from = 100, to = 10, length.out = 10),
seq(from = 90, to = 0, length.out = 10)), ncol = 2,
dimnames = list(LETTERS[1:10], c("fad", "lad")))
# Set class as timeBins:
class(time_bins) <- "timeBins"
# Get N changes for each bin:
bin_changes(change_times = change_times, time_bins = time_bins)
[Package Claddis version 0.7.0 Index]