R: Collection of Data Structures

# Collection of Data Structures

## Documentation for package ‘cardinalR’ version 0.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

cell_cycle | Generate Cell Cycle Data with Noise
clust_diff_shapes | Generate Clusters with Different Shapes
clust_diff_shapes_pts | Generate Clusters with Different Shapes and Different Number of Points
conic_spiral_3d | Generate data points along a conic spiral curve with optional noise.
conic_spiral_3d_row | Generate points on a conic spiral in 3D space.
cube_3d | Generate a 3D cube with optional noise.
curvy_branch | Generate Curvy Branching Clusters with Noise
curvy_branch_clust | Generate Curvy Branching Cluster Data
curvy_branch_clust_bkg | Generate Curvy Branching Cluster Data with Background Noise
curvy_cycle | Generate Curvy Cell Cycle Data with Noise
curvy_tree | Generate Curvy Tree Data with Noise
curv_2d | Generate points on a curvilinear 2D manifold
diff_sphere | Generate data representing small spheres within a larger encompassing sphere with added noise.
dini_surface_3d | Generate points sampled from the Dini surface with optional noise.
dini_surface_3d_row | Generate points on a Dini's surface.
eight_branch | Generate Eight Branching Data with Noise
four_branch | Generate Four-Branching Data with Noise
four_long_clust | Generate Four Different Long Clusters with Noise
four_long_clust_bkg | Generate Four Long Clusters with Background Noise
gau_clust | Generate synthetic data with Gaussian clusters
gau_clust_diff | Generate Gaussian Clusters with Different Points
gau_curvy_clust | Generate Cluster and Curvilinear Data with Noise
gau_curvy_clust_bkg | Generate Clusters and Curvilinear Data with Noise
gen_bkg_noise | Generate Background Noise Data
gen_noise_dims | Generate Random Noise Dimensions
mirror_scurves | Generate Mirror S-curve Datasets with Noise
mobius_5d | Generate a 5-D Mobius Strip
mobius_5d_row | Generate a Single Row for a 5-D Mobius Strip
mobius_clust | Generate Mobius Cluster with Noise
mobius_clust_data | Mobius clust dataset with noise dimensions
mobius_clust_tsne_param1 | tSNE embedding for mobius_clust_data dataset which with noise dimensions tSNE parameters set to perplexity: 15.
mobius_clust_tsne_param2 | tSNE embedding for mobius_clust_data dataset which with noise dimensions tSNE parameters set to perplexity: 30.
mobius_clust_tsne_param3 | tSNE embedding for mobius_clust_data dataset which with noise dimensions tSNE parameters set to perplexity: 5.
mobius_clust_umap_param1 | UMAP embedding for mobius_clust_data dataset which with noise dimensions UMAP parameters set to n-neigbors: 15 and min-dist: 0.1.
mobius_clust_umap_param2 | UMAP embedding for mobius_clust_data dataset which with noise dimensions UMAP parameters set to n-neigbors: 30 and min-dist: 0.08.
mobius_clust_umap_param3 | UMAP embedding for mobius_clust_data dataset which with noise dimensions UMAP parameters set to n-neigbors: 5 and min-dist: 0.9.
nonlinear_2d | Generate points on a nonlinear 2D manifold
nonlinear_connect | Generate Nonlinear Connected Data with Noise
nonlinear_mirror | Generate Nonlinear Mirror Data with Noise
one_doublet | Generate Doublets with Noise
one_doublet_bkg | Generate Doublets with Background Noise
one_doublet_diff_patterns | Generate Doublets with Different Pattern Clusters and Noise
one_doublet_diff_var_clust | Generate Doublets with Different Variance Clusters and Noise
one_doublet_four_clusts | Generate Doublets with Four Clusters and Noise
one_grid | Generate Grid Data with Noise
one_grid_bkg | Generate One Grid with Different Values and Background Noise
plane | Generate points on a plane in 2D space
plane_2d_hole | Generate 2D Plane with Hole and Noise
roman_surface_3d | Generate data points on a Roman surface with optional noise.
roman_surface_3d_row | Generate points on a Roman surface in 3D space.
scurve | Generate S-curve Data
scurve_hole | Generate S-curve Data with a Hole
seven_branch | Generate Seven-Branching Data with Noise
sine_curve | Generate Sine Curve Data with Noise
sphere | Generate Coordinates for a Sphere
spiral_3d | Generate a spiral dataset with optional noise.
swiss_roll | Generate Swiss Roll Data
three_circulars | Generate Three Circular Clusters with Noise
three_clust_diff_dist | Generate three clusters of data points with optional noise.
three_clust_mirror | Generate Three Cluster Mirror with Noise
three_diff_linear | Generate Three Different Linear Data with Noise
three_doublets | Generate Doublets with Three Clusters and Noise
three_grid | Generate Three Grids with Noise
three_long_clust | Generate Three Linear Clusters with Noise
three_nonlinear | Generate Three Nonlinear Clusters with Noise
torus_3d | Generate a torus-shaped dataset with optional noise.
torus_3d_row | Generate a row of data points for a 3D torus.
tree | Generate Tree-like Data with Noise
tri_3d | Generate Triangular 3D Datasets with Noise
tri_plane_bkg | Generate Triangular Plane with Background Noise
two_circulars | Generate Linked Data
two_curvilinear | Generate Two Curvilinear Data with Noise
two_curvy | Generate Two Curvilinear Clusters with Noise
two_curvy_diff_pts | Generate Two Curvilinear Differentiated Clusters with Noise
two_curvy_panckakes | Generate Two Curvy Pancakes with Noise
two_doublets_bkg | Generate Two Doublets with Background Noise
two_doublets_parallel | Generate Doublets in Parallel with Noise
two_grid | Generate Two Grids with Noise
two_grid_comb | Generate One Grid with Different Offset
two_grid_comb_bkg | Generate Two Grids with Background Noise
two_long_clust | Generate Long Cluster Data
two_long_clust_diff | Generate Two Linear Differentiated Clusters with Noise
two_nonlinear | Generate Two Nonlinear Clusters with Noise
two_scurves | Generate Two S-curve Datasets with Noise
two_scurve_hole | Generate Two S-Curve Data with Noise