getIntegerRandomWalk | R Documentation |
Takes a continuous random walk and converts it to continuous epochs of repeated values 0/1/2, each at least minLength points long. 0/1/2 correspond to different noise regimes: 0 = no noise, 1 = subharmonics, 2 = subharmonics and jitter/shimmer.
getIntegerRandomWalk(
rw,
nonlinBalance = 50,
minLength = 50,
q1 = NULL,
q2 = NULL,
plot = FALSE
)
rw |
a random walk generated by |
nonlinBalance |
a number between 0 to 100: 0 = returns all zeros; 100 = returns all twos |
minLength |
the mimimum length of each epoch |
q1 , q2 |
cutoff points for transitioning from regime 0 to 1 (q1) or from regime 1 to 2 (q2). See noiseThresholdsDict for defaults |
plot |
if TRUE, plots the random walk underlying nonlinear regimes |
Returns a vector of integers (0/1/2) of the same length as rw.
rw = getRandomWalk(len = 100, rw_range = 100, rw_smoothing = .2)
r = getIntegerRandomWalk(rw, nonlinBalance = 75,
minLength = 10, plot = TRUE)
r = getIntegerRandomWalk(rw, nonlinBalance = 15,
q1 = 30, q2 = 70,
minLength = 10, plot = TRUE)
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