Man pages for quollr
Visualising How Nonlinear Dimension Reduction Warps Your Data
| 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... |
| comb_all_data_model | Create a tibble with averaged high-dimensional data and... |
| comb_all_data_model_error | Create a tibble with averaged high-dimensional data and... |
| comb_data_model | Create a tibble with averaged high-dimensional data and... |
| 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... |
| extract_hexbin_mean | Extract hexagonal bin mean coordinates and the corresponding... |
| find_low_dens_hex | Find low-density Hexagons |
| find_non_empty_bins | Find the number of bins required to achieve required number... |
| 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 |
| geom_hexgrid | Create a hexgrid plot |
| GeomHexgrid | GeomHexgrid: A Custom ggplot2 Geom for Hexagonal Grid |
| geom_trimesh | Create a trimesh plot |
| GeomTrimesh | GeomTrimesh: A Custom ggplot2 Geom for Triangular Meshes |
| 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... |
| scurve_umap2 | UMAP embedding for 'scurve' with n_neighbors = 10 and... |
| scurve_umap3 | UMAP embedding for 'scurve' with n_neighbors = 62 and... |
| scurve_umap4 | UMAP embedding for 'scurve' with n_neighbors = 30 and... |
| 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... |
| show_langevitour | Visualise the model overlaid on high-dimensional data |
| show_link_plots | Visualise the model overlaid on high-dimensional data along... |
| 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 |
