(C++) Normalized Chi Distance Between Two Vectors
Computed as: xy <- x + y
y. <- y / sum(y)
x. <- x / sum(x)
sqrt(sum(((x. - y.)^2) / (xy / sum(xy)))). Cannot handle NA values. When x and y have zeros in the same position, NaNs are produced. Please replace these zeros with pseudo-zeros (i.e. 0.0001) if you wish to use this distance metric.
distance_chi_cpp(x, y)
x: (required, numeric vector).y: (required, numeric vector) of same length as x.numeric
distance_chi_cpp(x = runif(100), y = runif(100))
Other Rcpp_distance_methods: distance_bray_curtis_cpp(), distance_canberra_cpp(), distance_chebyshev_cpp(), distance_cosine_cpp(), distance_euclidean_cpp(), distance_hamming_cpp(), distance_hellinger_cpp(), distance_jaccard_cpp(), distance_manhattan_cpp(), distance_russelrao_cpp(), distance_sorensen_cpp()