Extract hexagonal bin centroids coordinates and the corresponding standardise counts.

Usage

extract_hexbin_centroids(centroids_df, counts_df)

Arguments

centroids_df: A tibble that contains all hexagonal bin centroid coordinates with hexagon IDs.
counts_df: A tibble that contains hexagon IDs with the standardise number of points within each hexagon.

Value

A tibble contains hexagon ID, centroid coordinates, and standardise counts.

Examples

r2 <- diff(range(s_curve_noise_umap$UMAP2))/diff(range(s_curve_noise_umap$UMAP1))
num_bins_x <- 4
hb_obj <- hex_binning(data = s_curve_noise_umap_scaled, bin1 = num_bins_x,
r2 = r2, q = 0.1)
all_centroids_df <- hb_obj$centroids
counts_df <- hb_obj$std_cts
extract_hexbin_centroids(centroids_df = all_centroids_df,
counts_df = counts_df)
#> # A tibble: 32 × 5
#>    hexID     c_x    c_y std_counts drop_empty
#>    <int>   <dbl>  <dbl>      <dbl> <lgl>     
#>  1     1 -0.1    -0.202     NA     TRUE      
#>  2     2  0.283  -0.202     NA     TRUE      
#>  3     3  0.666  -0.202     NA     TRUE      
#>  4     4  1.05   -0.202     NA     TRUE      
#>  5     5  0.0915  0.130      1     FALSE     
#>  6     6  0.474   0.130      0.214 FALSE     
#>  7     7  0.857   0.130     NA     TRUE      
#>  8     8  1.24    0.130     NA     TRUE      
#>  9     9 -0.1     0.461      0.214 FALSE     
#> 10    10  0.283   0.461      0.429 FALSE     
#> # ℹ 22 more rows