colored_noise: Generate Autocorrelated Noise

In colorednoise: Simulate Temporally Autocorrelated Populations

Description

Generates temporally autocorrelated random numbers with a mean, standard deviation, and autocorrelation you specify.

Usage

colored_noise(timesteps, mean, sd, phi)

Arguments

timesteps	The number of temporally autocorrelated random numbers (one per timestep) you want.
mean	The mean of the temporally autocorrelated random numbers.
sd	The standard deviation of the temporally autocorrelated random numbers.
phi	The temporal autocorrelation. 0 is white noise (uncorrelated), positive values are red noise (directly correlated) and negative values are blue noise (inversely correlated).

Value

A vector of temporally autocorrelated random numbers.

Examples

rednoise <- colored_noise(timesteps = 30, mean = 0.5, sd = 0.2, phi = 0.3)
rednoise

Example output

 [1] 0.4362254 0.3397425 0.3171747 0.4835210 0.5082803 0.4769603 0.4267399
 [8] 0.2772355 0.5433090 0.6202901 0.5163448 0.9160473 0.7219747 0.6442659
[15] 0.1806139 0.3969893 0.8037635 0.5922267 0.4024535 0.1527872 0.3343558
[22] 0.4876815 0.3396315 0.4523542 0.6308637 0.7800687 0.4849510 0.3849085
[29] 0.6653942 1.0557551

colorednoise documentation built on Aug. 5, 2020, 5:10 p.m.