Find Benchmark Value To Remove Long Edges — find_benchmark

This function finds the benchmark value to remove long edges based on the differences in a distance column.

Usage

find_benchmark_value(.data, distance_col)

Arguments

.data: The data frame containing the distances.
distance_col: The name of the column containing the distances.

Value

The benchmark value, which is the first largest difference in the distance column.

Examples

num_bins_x <- 4
shape_value <- 1.833091
hexbin_data_object <- extract_hexbin_centroids(nldr_df = s_curve_noise_umap,
num_bins = num_bins_x, shape_val = shape_value)
df_bin_centroids <- hexbin_data_object$hexdf_data
tr1_object <- triangulate_bin_centroids(df_bin_centroids, x, y)
tr_from_to_df <- generate_edge_info(triangular_object = tr1_object)
distance_df <- cal_2d_dist(tr_from_to_df)
find_benchmark_value(.data = distance_df, distance_col = "distance")
#> [1] 5.44