cal_2d_dist {quollr}

Calculate 2D Euclidean distances between vertices

Description

This function calculates the 2D distances between pairs of points in a data frame.

Usage

cal_2d_dist(tr_coord_df, start_x, start_y, end_x, end_y, select_vars)

Arguments

tr_coord_df

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

start_x

Column name for the x-coordinate of the starting point.

start_y

Column name for the y-coordinate of the starting point.

end_x

Column name for the x-coordinate of the ending point.

end_y

Column name for the y-coordinate of the ending point.

select_vars

A character vector specifying the columns to be selected in the resulting data frame.

Value

A data frame with columns for the starting point, ending point, and calculated distances.

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)
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"))