auto_sum_full_cpp function

(C++) Sum Distances Between All Consecutive Samples in Two Time Series

Computes the cumulative auto sum of autodistances of two time series. The output value is used as normalization factor when computing dissimilarity scores.

auto_sum_full_cpp(x, y, distance = "euclidean")

Arguments

• x: (required, numeric matrix) univariate or multivariate time series.
• y: (required, numeric matrix) univariate or multivariate time series with the same number of columns as 'x'.
• distance: (optional, character string) distance name from the "names" column of the dataset distances (see distances$name). Default: "euclidean"

Returns

numeric

Examples

#simulate two time series
x <- zoo_simulate(seed = 1)
y <- zoo_simulate(seed = 2)

#auto sum
auto_sum_full_cpp(
  x = x,
  y = y,
  distance = "euclidean"
)

See Also

Other Rcpp_auto_sum: auto_distance_cpp(), auto_sum_cpp(), auto_sum_path_cpp(), subset_matrix_by_rows_cpp()