extract_hexbin_mean: Extract hexagonal bin mean coordinates and the corresponding...

In quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data

Extract hexagonal bin mean coordinates and the corresponding standardize counts.

Description

Extract hexagonal bin mean coordinates and the corresponding standardize counts.

Usage

extract_hexbin_mean(data_hb, counts_data, centroids_data)

Arguments

data_hb	A tibble with embedding components and hexagonal bin IDs.
counts_data	A tibble that contains hexagon IDs with the standardise number of points within each hexagon.
centroids_data	A tibble that contains all hexagonal bin centroid coordinates with hexagon IDs.

Value

A tibble contains hexagon ID (h), bin means (c_x, c_y), bin counts (n_h), and standardise counts (w_h).

Examples

all_centroids_df <- scurve_model_obj$hb_obj$centroids
counts_data <- scurve_model_obj$hb_obj$std_cts
umap_with_hb_id <- scurve_model_obj$hb_obj$data_hb_id
extract_hexbin_mean(data_hb = umap_with_hb_id, counts_data = counts_data,
centroids_data = all_centroids_df)

quollr documentation built on Aug. 8, 2025, 6:08 p.m.