dcca.plot {fractalRegression} | R Documentation |
Detrended Cross Correlation Plot
Description
A plotting method for constructing scalewise correlation plot
Usage
dcca.plot(
rhos,
order = 1,
ci = FALSE,
iterations = NULL,
return.ci = FALSE,
loess.rho = FALSE,
loess.ci = FALSE
)
Arguments
rhos |
an object containing results from detrended cross correlation
analysis. The object should be returned from the |
order |
integer representing the detrending order used in the dcca calculation. Default is 1. |
ci |
a logical indicating whether confidence intervals should be
computed using the |
iterations |
integer that specifies the the number of surrogate time series to be generated for the purpose of confidence intervals. Default = 19. Larger number of surrogates will slow computational speed but produce better confidence interval estimates. |
return.ci |
logical indicating whether the confidence intervals should be returned |
loess.rho |
logical indicating whether a loess fit should be used for displaying multiscale regression coefficient trajectories |
loess.ci |
logical indicating whether a loess fit should be used to smooth confidence intervals |