simulateAutoCorrelatedUncertainty | R Documentation |
generate synthetic timeseries
simulateAutoCorrelatedUncertainty(
sd,
n,
mean = 0,
ar = sqrt(0.5),
arima.order = c(1, 0, 0)
)
sd |
standard deviation of the output vector |
n |
length of output vector |
mean |
mean of the output vector |
ar |
Autocorrelation coefficient to use for modelling uncertainty, what fraction of the uncertainties are autocorrelated? (default = sqrt(0.5); or 50 percent autocorrelated uncertainty) |
arima.order |
Order to use for ARIMA model used in modelling uncertainty (default = c(1,0,0)) |
ts simulated from a from an ARIMA model with a defined mean and variance
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