Description Usage Arguments Details Value Author(s) References Examples
For a given dataset, FUNTA pseudo-depth values can be obtained. FUNTA is a functional data depth that is based on the intersection angles that the centered functions form with each other.
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Data |
a matrix. Enter the discretized values of a functional data set in a n times T matrix, where n is the number of functional observations and T is the number of time points. |
centered |
boolean. If the data are already centered, that means, the mean of each row of |
give.angles |
boolean. If the intersection angles of each function with the other functions are to be displayed, set to |
tick.dist |
atomic vector. The distance between two neighbored time points can be set here. Default value is |
The larger the value of FUNTA is, the less it can be regarded as a shape outlier, and vice versa. The values are bounded by 0 and 1.
If give.angles = TRUE
, a list of two elements FUNTA and Angles. Otherwise only the first element of that list is returned.
FUNTA |
Vector of FUNTA values. First row of |
Angles |
List of intersection angles. First element of list corresponds to the intersection angles that the first row of |
A. Rehage
Kuhnt, S.; Rehage, A. (2016) An angle-based multivariate functional pseudo-depth for shape outlier detection. Journal of Multivariate Analysis 146, 325-340.
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