compute_std_counts {quollr}

Compute standardize counts in hexagons

Description

This function computes the standardize number of points within each hexagon.

Usage

compute_std_counts(data_hex_id)

Arguments

data_hex_id

A data frame with x and y coordinates and hexagonal bin IDs.

Value

A list that contains hexagon IDs and the corresponding standardize counts.

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
centroid_list <- gen_centroids(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)
all_centroids_df <- as.data.frame(do.call(cbind, centroid_list))
s_curve_noise_umap_scaled_rm_id <- s_curve_noise_umap_scaled |> dplyr::select(-ID)
nldr_with_hb_id_list <- assign_data(data = s_curve_noise_umap_scaled_rm_id,
centroid_df = all_centroids_df, col_start = "UMAP")
umap_with_hb_id <- as.data.frame(do.call(cbind, nldr_with_hb_id_list))
compute_std_counts(data_hex_id = umap_with_hb_id)