Subsets a time series matrix to the coordinates of a trimmed least-cost path when blocks are ignored during a dissimilarity analysis.
subset_matrix_by_rows_cpp(m, rows)
Arguments
m: (required, numeric matrix) a univariate or multivariate time series.
rows: (required, integer vector) vector of rows to subset from a least-cost path data frame.
Returns
numeric matrix
Examples
#simulate a time seriesm <- zoo_simulate(seed =1)#sample some rowsrows <- sample( x = nrow(m), size =10)|> sort()#subset by rowsm_subset <- subset_matrix_by_rows_cpp( m = m, rows = rows
)#compare with originalm[rows,]
See Also
Other Rcpp_auto_sum: auto_distance_cpp(), auto_sum_cpp(), auto_sum_full_cpp(), auto_sum_path_cpp()