Create spatial vectors for clusters

Usage

.get_cluster_vectors(
  cluster_info,
  bin_length,
  bin_type,
  bin_param,
  range_list,
  sample_names
)

cluster_info: A dataframe/matrix containing the centroid coordinates, cluster label and sample for each cell.The column names must include "x" (x coordinate), "y" (y coordinate), "cluster" (cluster label) and "sample" (sample).
bin_length: A positive integer giving the length of total bins
bin_type: A string indicating which bin shape is to be used for vectorization. One of "square" (default), "rectangle", or "hexagon".
bin_param: A numeric vector indicating the size of the bin. If the bin_type is "square" or "rectangle", this will be a vector of length two giving the numbers of rectangular quadrats in the x and y directions. If the bin_type is "hexagonal", this will be a number giving the side length of hexagons. Positive numbers only.
range_list: A named list of spatial ranges for each sample. Each element should be a list with two components: w_x and w_y, which are numeric vectors of length 2 specifying the x- and y-axis ranges (e.g., from cell or transcript coordinates). The range is calculated with 5 within the window.
sample_names: a vector of strings giving the sample names

a matrix contains the cell count in each grid. Each row refers to a grid, and each column refers to a cluster.