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.
boolean. If the data are already centered, that means, the mean of each row of
Data is 0, this can be set to
TRUE to save computation time. Default value is
"mean". Note that only the default setting produces rFUNTA values as introduced in Kuhnt and Rehage (2016). The other options can be used if not the maximum intersection angle of each pair of functions is of interest, but the median or mean intersection angle.
"mean". Note that only the default setting produces rFUNTA values as introduced in Kuhnt and Rehage (2016). The other options can be used if not the median value of the n-1 weighted intersection angles of each function is of interest, but the maximum or mean of it.
atomic vector. The distance between two neighbored time points can be set here. Default value is
atomic vector. If the dataset has more than one dimension, specify
nObs with the number of observations per dimension.
Data then has to be in the style of
rbind(Dim1, Dim2, ...). Note that
tick.dist has to be equal for all the dimensions.