assign_data | Assign data to hexagons |
augment | Augment Data with Predictions and Error Metrics |
avg_highd_data | Create a tibble with averaged high-dimensional data |
calc_2d_dist | Calculate 2-D Euclidean distances between vertices |
calc_bins_y | Calculate the effective number of bins along x-axis and y-axis |
comb_all_data_model | Create a tibble with averaged high-dimensional data and high-dimensional data, non-linear dimension reduction data |
comb_all_data_model_error | Create a tibble with averaged high-dimensional data and high-dimensional data, non-linear dimension reduction data, model error data |
comb_data_model | Create a tibble with averaged high-dimensional data and high-dimensional data |
compute_mean_density_hex | Compute mean density of hexagonal bins |
compute_std_counts | Compute standardise counts in hexagons |
extract_hexbin_centroids | Extract hexagonal bin centroids coordinates and the corresponding standardise counts. |
extract_hexbin_mean | Extract hexagonal bin mean coordinates and the corresponding standardize counts. |
find_low_dens_hex | Find low-density Hexagons |
find_non_empty_bins | Find the number of bins required to achieve required number of non-empty bins. |
find_pts | Find points in hexagonal bins |
fit_highd_model | Construct the 2-D model and lift into high-dimensions |
gen_axes | Generate Axes for Projection |
gen_centroids | Generate centroid coordinate |
gen_design | Generate a design to layout 2-D representations |
gen_diffbin1_errors | Generate erros and MSE for different bin widths |
gen_edges | Generate edge information |
gen_hex_coord | Generate hexagonal polygon coordinates |
gen_scaled_data | Scaling the NLDR data |
GeomHexgrid | GeomHexgrid: A Custom ggplot2 Geom for Hexagonal Grid |
GeomTrimesh | GeomTrimesh: A Custom ggplot2 Geom for Triangular Meshes |
geom_hexgrid | Create a hexgrid plot |
geom_trimesh | Create a trimesh plot |
get_projection | Compute Projection for High-Dimensional Data |
glance | Generate evaluation metrics |
hex_binning | Hexagonal binning |
plot_proj | Plot Projected Data with Axes and Circles |
plot_rmse_layouts | Arrange RMSE plot and 2-D layouts |
predict_emb | Predict 2-D embeddings |
quad | Solve Quadratic Equation for Positive Real Roots |
scurve | S-curve dataset with noise dimensions |
scurve_model_obj | Object for S-curve dataset |
scurve_plts | List of plots |
scurve_umap | UMAP embedding for 'scurve' with n_neighbors = 15 and min_dist = 0.1 |
scurve_umap2 | UMAP embedding for 'scurve' with n_neighbors = 10 and min_dist = 0.4 |
scurve_umap3 | UMAP embedding for 'scurve' with n_neighbors = 62 and min_dist = 0.1 |
scurve_umap4 | UMAP embedding for 'scurve' with n_neighbors = 30 and min_dist = 0.5 |
scurve_umap_predict | Predicted UMAP embedding for 'scurve' data |
scurve_umap_rmse | Summary with different number of bins for 'scurve_umap' |
scurve_umap_rmse2 | Summary with different number of bins for 'scurve_umap2' |
scurve_umap_rmse3 | Summary with different number of bins for 'scurve_umap3' |
scurve_umap_rmse4 | Summary with different number of bins for 'scurve_umap4' |
show_error_link_plots | Visualise the model overlaid on high-dimensional data along with 2-D wireframe model and error. |
show_langevitour | Visualise the model overlaid on high-dimensional data |
show_link_plots | Visualise the model overlaid on high-dimensional data along with 2-D wireframe model. |
stat_hexgrid | stat_hexgrid Custom Stat for hexagonal grid plot |
stat_trimesh | stat_trimesh Custom Stat for trimesh plot |
tri_bin_centroids | Triangulate bin centroids |
update_trimesh_index | Update from and to values in trimesh data |