quollr0.3.13 package

Visualising How Nonlinear Dimension Reduction Warps Your Data

assign_data

Assign data to hexagons

augment.highd_vis_model

Augment Data with Predictions and Error Metrics for NLDR Models

augment

S3 generic for augment

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_error

Create a tibble with averaged high-dimensional data and high-dimension...

comb_all_data_model

Create a tibble with averaged high-dimensional data and high-dimension...

comb_data_model

Create a tibble with averaged high-dimensional data and high-dimension...

compute_mean_density_hex

Compute mean density of hexagonal bins

compute_std_counts

Compute standardise counts in hexagons

find_low_dens_hex

Find low-density Hexagons

find_non_empty_bins

Find the number of bins required to achieve required number of non-emp...

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

geom_trimesh

Create a trimesh plot

GeomHexgrid

GeomHexgrid: A Custom ggplot2 Geom for Hexagonal Grid

GeomTrimesh

GeomTrimesh: A Custom ggplot2 Geom for Triangular Meshes

get_projection

Compute Projection for High-Dimensional Data

glance.highd_vis_model

Generate evaluation metrics for a hex_model object

glance

S3 generic for glance

group_hex_pts

Grouped points in each hexagon

hex_binning

Hexagonal binning

merge_hexbin_centroids

Extract hexagonal bin centroids coordinates and the corresponding stan...

merge_hexbin_mean

Extract hexagonal bin mean coordinates and the corresponding standardi...

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

show_error_link_plots

Visualise the model overlaid on high-dimensional data along with 2-D w...

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 w...

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

To construct a model in 2-D space from 2-D nonlinear dimension reduction data and then lift it to the high-dimensional space. Additionally, provides tools to visualise the model overlay the data in 2-D and high-dimensional space. Furthermore, provides summaries and diagnostics to evaluate the nonlinear dimension reduction layout.

  • Maintainer: Jayani P. Gamage
  • License: MIT + file LICENSE
  • Last published: 2025-09-23