vis_lg_mesh {quollr}

Visualize triangular mesh with coloured long edges

Description

This function visualize triangular mesh with coloured long edges.

Usage

vis_lg_mesh(distance_edges, benchmark_value, tr_coord_df, distance_col)

Arguments

distance_edges

The data frame containing the edge information.

benchmark_value

The threshold value to determine long edges.

tr_coord_df

A data frame containing columns for the x and y coordinates of start and end points.

distance_col

The column name in 'distance_edges' representing the distances.

Value

A ggplot object with the triangular mesh plot where long edges are coloured differently.

Examples

num_bins_list <- calc_bins(data = s_curve_noise_umap_scaled, x = "UMAP1",
y = "UMAP2", hex_size = NA, buffer_x = NA, buffer_y = NA)
num_bins_x <- num_bins_list$num_x
num_bins_y <- num_bins_list$num_y
hb_obj <- hex_binning(data = s_curve_noise_umap_scaled,
x = "UMAP1", y = "UMAP2", num_bins_x = num_bins_x,
num_bins_y = num_bins_y, x_start = NA, y_start = NA, buffer_x = NA,
buffer_y = NA, hex_size = NA, col_start = "UMAP")
all_centroids_df <- as.data.frame(do.call(cbind, hb_obj$centroids))
counts_df <- as.data.frame(do.call(cbind, hb_obj$std_cts))
df_bin_centroids <- extract_hexbin_centroids(centroids_df = all_centroids_df, counts_df = counts_df)
tr1_object <- tri_bin_centroids(hex_df = df_bin_centroids, x = "c_x", y = "c_y")
tr_from_to_df <- gen_edges(tri_object = tr1_object)
distance_df <- cal_2d_dist(tr_coord_df = tr_from_to_df, start_x = "x_from",
start_y = "y_from", end_x = "x_to", end_y = "y_to",
select_vars = c("from", "to", "distance"))
vis_lg_mesh(distance_edges = distance_df, benchmark_value = 0.75,
tr_coord_df = tr_from_to_df, distance_col = "distance")