Skip to contents

This function combine the average values of high-dimensional data within each hexagonal bin and high-dimensional data.

Usage

comb_data_model(highd_data, model_highd, model_2d)

Arguments

highd_data

A tibble that contains the high-dimensional data.

model_highd

A tibble that contains the high-dimensional coordinates of bin centroids.

model_2d

The dataset with hexagonal bin centroids.

Value

A tibble with the average values of the high-dimensional data within each hexagonal bin and high-dimensional data.

Examples

df_bin_centroids <- s_curve_obj$s_curve_umap_model_obj$df_bin_centroids
df_bin <- s_curve_obj$s_curve_umap_model_obj$df_bin
comb_data_mode(highd_data = s_curve_noise_training, model_highd = df_bin,
model_2d = df_bin_centroids)
#> Error in comb_data_mode(highd_data = s_curve_noise_training, model_highd = df_bin,     model_2d = df_bin_centroids): could not find function "comb_data_mode"