est_radius | R Documentation |
Find a fixed or optimal radius.
est_radius(
RM = NULL,
y1 = NULL,
y2 = NULL,
emLag = 1,
emDim = 1,
method = "Euclidean",
type = c("fixed", "optimal")[1],
startRadius = NULL,
eachRadius = 1,
targetMeasure = c("RR", "DET", "LAM", "T1", "all")[1],
targetValue = 0.05,
tol = 0.01,
maxIter = 100,
theiler = NA,
histIter = FALSE,
noiseLevel = 0.75,
noiseType = c("normal", "uniform")[1],
plotROC = FALSE,
standardise = c("mean.sd", "median.mad", "none")[3],
radiusOnFail = c("tiny", "huge", "percentile")[1],
silent = FALSE
)
RM |
Unthresholded Recurrence Matrix |
y1 |
A numeric vector or time series |
y2 |
A numeric vector or time series for cross recurrence |
emLag |
The embedding lag |
emDim |
The embedding dimensions |
method |
Distance measure to use. Any option that is valid for argument |
type |
Either |
startRadius |
If |
eachRadius |
If |
targetMeasure |
If |
targetValue |
When argument |
tol |
Tolerance for achieving |
maxIter |
If |
theiler |
Size of theiler window (default |
histIter |
Return iteration history? (default = |
noiseLevel |
Noise level to construct the |
noiseType |
Type |
plotROC |
Generates an ROC plot if |
standardise |
Standardise |
radiusOnFail |
Radius to return when search fails |
silent |
Silent-ish |
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_rqa()
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