R: Collection of Data Structures

# Collection of Data Structures

## Documentation for package ‘cardinalR’ version 1.0.6

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

## Help Pages

gen_bkgnoise | Generate Background Noise Data
gen_circle | Generate Circle in p-d
gen_clusteredspheres | Generate Small Spheres Within a Big Sphere
gen_clustloc | Generate Cluster Locations
gen_cone | Generate Blunted Cone
gen_conicspiral | Generate Conical Spiral
gen_crescent | Generate Crescent
gen_cubic | Generate Cubic
gen_curvybranches | Generate data with curvy shaped branches
gen_curvycycle | Generate Curvy Cell Cycle in p-d
gen_curvycylinder | Generate Curvy Cylinder
gen_expbranches | Generate data with exponential shaped branches
gen_gaussian | Generate Multivariate Gaussian Cloud
gen_gridcube | Generate Cube with grid points
gen_gridedsphere | Generate Grided Sphere
gen_helicalspiral | Generate Helical Hyper Spiral
gen_hemisphere | Generate Hemisphere
gen_hole | Remove points within a spherical hole in the middle
gen_hollowsphere | Generate Hollow Sphere
gen_linearbranches | Generate data with linear shaped branches
gen_longlinear | Generate Long Linear Data
gen_mobius | Generate a 3-D Mobius
gen_multicluster | Generate Multiple Clusters
gen_noisedims | Generate Random Noise Dimensions
gen_nonlinear | Generate Nonlinear Hyperbola
gen_nproduct | Generates a vector of positive integers whose product is approximately equal to a target value.
gen_nsum | Generates a vector of positive integers whose summation is approximately equal to a target value.
gen_orgcurvybranches | Generate data with curvy shaped branches in a initial point
gen_orglinearbranches | Generate data with linear shaped branches in a initial point
gen_pyrfrac | Generate p-D Triangular Pyramid With Triangular Pyramid shaped holes
gen_pyrrect | Generate Rectangular-based Pyramid
gen_pyrstar | Generate Star Based Pyramid
gen_pyrtri | Generate Triangular Based Pyramid
gen_quadratic | Generate Quadratic
gen_rotation | Generate Rotations
gen_scurve | Generate S-curve Data
gen_scurvehole | Generate S-curve Data with a Hole
gen_sphericalspiral | Generate Spherical Spiral
gen_swissroll | Generate Swiss Roll Data
gen_trefoil3d | Generate 3-D Trefoil Knot Coordinates (Stereographic Projection)
gen_trefoil4d | Generate 4-D Trefoil Knot Coordinates
gen_unifcube | Generate Cube with uniform points
gen_unifcubehole | Generate Cube with Hole
gen_unifsphere | Generate Uniform Sphere
gen_wavydims1 | Generate Random Noise Dimensions With Wavy Pattern
gen_wavydims2 | Generate Random Noise Dimensions With Wavy Pattern
gen_wavydims3 | Generate Random Noise Dimensions With Wavy Pattern
make_chain_circles | Generate a Chain of Interlocked Circles in High-Dimensional Space
make_chain_curvycycle | Generate a Chain of Interlocked curvycycle in High-Dimensional Space
make_curvygau | Generate Curvy Quadratic and Gaussian Clusters
make_gaucircles | Generate Concentric Circles with a Gaussian Cluster in High Dimensions
make_gaucurvycycle | Generate Concentric Curvycycles with a Gaussian Cluster in High Dimensions
make_klink_circles | Generate Multiple Interlocked Circles in High-Dimensional Space
make_klink_curvycycle | Generate Multiple Interlocked curvycycle in High-Dimensional Space
make_mobiusgau | Generate Gaussian cluster with the Mobius Cluster
make_multigau | Generate Multiple Gaussian Clusters
make_onegrid | Generate a Single Grid Cluster in High Dimensions
make_shape_para | Generate Parallel Multi-Shape Clusters
make_twogrid_overlap | Generate Two Overlapping Grid Clusters in High Dimensions
make_twogrid_shift | Generate Two Shifted Grid Clusters in High Dimensions
mobiusgau | Mobius clust dataset with a noise dimension
mobiusgau_tsne1 | tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 15.
mobiusgau_tsne2 | tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 30.
mobiusgau_tsne3 | tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 5.
mobiusgau_umap1 | UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 15 and min-dist: 0.1.
mobiusgau_umap2 | UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 30 and min-dist: 0.08.
mobiusgau_umap3 | UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 5 and min-dist: 0.9.
normalize_data | Generate Normalized data
randomize_rows | Randomize Rows of a Data Frame
relocate_clusters | Relocate Clusters in High-Dimensional Space
three_clust_01 | Three-Cluster Dataset in 4-D
three_clust_02 | Three-Cluster Dataset in 4-D
three_clust_03 | Three-Cluster Dataset in 4-D
three_clust_04 | Three-Cluster Dataset in 4-D
three_clust_05 | Three-Cluster Dataset in 4-D