est_radius_rqa | R Documentation |
Find a fixed radius without building the recurrence matrix.
est_radius_rqa(
y1 = NULL,
y2 = NULL,
AUTO = NULL,
method = "Euclidean",
startRadius = NULL,
targetValue = 0.05,
tol = 0.01,
maxIter = 100,
theiler = NA,
histIter = FALSE,
standardise = c("mean.sd", "median.mad", "none")[3],
radiusOnFail = c("tiny", "huge", "percentile")[3],
silent = FALSE,
useParallel = TRUE,
doEmbed = TRUE
)
y1 |
A numeric vector or time series |
y2 |
A numeric vector or time series for cross recurrence |
AUTO |
Auto-recurrence? (default = |
method |
Distance measure to use. Any option that is valid for argument |
startRadius |
The starting value for the radius (default = SD of time series values) |
targetValue |
When argument |
tol |
Tolerance for achieving |
maxIter |
If |
theiler |
Size of theiler window (default |
histIter |
Return iteration history? (default = |
standardise |
Standardise |
radiusOnFail |
Radius to return when search fails |
silent |
Silent-ish |
useParallel |
Should evaluation run using package parallel? This is will only be beneficial if the time series contains more than 10k data points (default = |
doEmbed |
If |
noiseLevel |
Noise level to construct the |
noiseType |
Type |
plotROC |
Generates an ROC plot if |
A dataframe listing settings used to search for the radius, the radius found given the settings and the recurrence rate produced by the radius (either 1 row or the entire iteration history)
Other Estimate Recurrence Parameters:
est_emDim()
,
est_emLag()
,
est_parameters()
,
est_parameters_roc()
,
est_radius()
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