{
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  "Type": "Package",
  "Package": "cardinalR",
  "Title": "Collection of Data Structures",
  "Version": "1.0.6",
  "Authors@R": "c(\nperson(\"Jayani P.\", \"Gamage\", , \"jayanilakshika76@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6265-6481\")),\nperson(\"Dianne\", \"Cook\", , \"dicook@monash.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3813-7155\")),\nperson(\"Paul\", \"Harrison\", , \"paul.harrison@monash.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3980-268X\")),\nperson(\"Michael\", \"Lydeamore\", , \"michael.lydeamore@monash.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-6515-827X\")),\nperson(\"Thiyanga S.\", \"Talagala\", , \"ttalagala@sjp.ac.lk\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-0656-9789\"))\n)",
  "Description": "A collection of functions to generate a large variety of\nstructures in high dimensions. These data structures are useful\nfor testing, validating, and improving algorithms used in\ndimensionality reduction, clustering, machine learning, and\nvisualization.",
  "License": "MIT + file LICENSE",
  "URL": "https://jayanilakshika.github.io/cardinalR/",
  "BugReports": "https://github.com/JayaniLakshika/cardinalR/issues",
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  "Repository": "https://jayanilakshika.r-universe.dev",
  "Date/Publication": "2026-05-13 04:44:58 UTC",
  "RemoteUrl": "https://github.com/jayanilakshika/cardinalr",
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  "Packaged": {
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  "Author": "Jayani P. Gamage [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6265-6481>),\nDianne Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>),\nPaul Harrison [aut] (ORCID: <https://orcid.org/0000-0002-3980-268X>),\nMichael Lydeamore [aut] (ORCID:\n<https://orcid.org/0000-0001-6515-827X>),\nThiyanga S. Talagala [aut] (ORCID:\n<https://orcid.org/0000-0002-0656-9789>)",
  "Maintainer": "Jayani P. Gamage <jayanilakshika76@gmail.com>",
  "MD5sum": "c7815f69aee73a4438f22cec37448db6",
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  "_created": "2026-05-13T05:03:26.000Z",
  "_published": "2026-05-22T10:22:42.162Z",
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  "_exports": [
    "gen_bkgnoise",
    "gen_circle",
    "gen_clusteredspheres",
    "gen_clustloc",
    "gen_cone",
    "gen_conicspiral",
    "gen_crescent",
    "gen_cubic",
    "gen_curvybranches",
    "gen_curvycycle",
    "gen_curvycylinder",
    "gen_expbranches",
    "gen_gaussian",
    "gen_gridcube",
    "gen_gridedsphere",
    "gen_helicalspiral",
    "gen_hemisphere",
    "gen_hole",
    "gen_hollowsphere",
    "gen_linearbranches",
    "gen_longlinear",
    "gen_mobius",
    "gen_multicluster",
    "gen_noisedims",
    "gen_nonlinear",
    "gen_nproduct",
    "gen_nsum",
    "gen_orgcurvybranches",
    "gen_orglinearbranches",
    "gen_pyrfrac",
    "gen_pyrrect",
    "gen_pyrstar",
    "gen_pyrtri",
    "gen_quadratic",
    "gen_rotation",
    "gen_scurve",
    "gen_scurvehole",
    "gen_sphericalspiral",
    "gen_swissroll",
    "gen_trefoil3d",
    "gen_trefoil4d",
    "gen_unifcube",
    "gen_unifcubehole",
    "gen_unifsphere",
    "gen_wavydims1",
    "gen_wavydims2",
    "gen_wavydims3",
    "make_chain_circles",
    "make_chain_curvycycle",
    "make_curvygau",
    "make_gaucircles",
    "make_gaucurvycycle",
    "make_klink_circles",
    "make_klink_curvycycle",
    "make_mobiusgau",
    "make_multigau",
    "make_onegrid",
    "make_shape_para",
    "make_twogrid_overlap",
    "make_twogrid_shift",
    "normalize_data",
    "randomize_rows",
    "relocate_clusters"
  ],
  "_datasets": [
    {
      "name": "mobiusgau",
      "title": "Mobius clust dataset with a noise dimension",
      "object": "mobiusgau",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "mobiusgau_tsne1",
      "title": "tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 15.",
      "object": "mobiusgau_tsne1",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "mobiusgau_tsne2",
      "title": "tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 30.",
      "object": "mobiusgau_tsne2",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "mobiusgau_tsne3",
      "title": "tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 5.",
      "object": "mobiusgau_tsne3",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "mobiusgau_umap1",
      "title": "UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 15 and min-dist: 0.1.",
      "object": "mobiusgau_umap1",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "mobiusgau_umap2",
      "title": "UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 30 and min-dist: 0.08.",
      "object": "mobiusgau_umap2",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "mobiusgau_umap3",
      "title": "UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 5 and min-dist: 0.9.",
      "object": "mobiusgau_umap3",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "emb1",
        "emb2"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "three_clust_01",
      "title": "Three-Cluster Dataset in 4-D",
      "object": "three_clust_01",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "cluster"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    },
    {
      "name": "three_clust_02",
      "title": "Three-Cluster Dataset in 4-D",
      "object": "three_clust_02",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "cluster"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    },
    {
      "name": "three_clust_03",
      "title": "Three-Cluster Dataset in 4-D",
      "object": "three_clust_03",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "cluster"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    },
    {
      "name": "three_clust_04",
      "title": "Three-Cluster Dataset in 4-D",
      "object": "three_clust_04",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "cluster"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    },
    {
      "name": "three_clust_05",
      "title": "Three-Cluster Dataset in 4-D",
      "object": "three_clust_05",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "cluster"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "gen_bkgnoise",
      "title": "Generate Background Noise Data",
      "topics": [
        "gen_bkgnoise"
      ]
    },
    {
      "page": "gen_circle",
      "title": "Generate Circle in p-d",
      "topics": [
        "gen_circle"
      ]
    },
    {
      "page": "gen_clusteredspheres",
      "title": "Generate Small Spheres Within a Big Sphere",
      "topics": [
        "gen_clusteredspheres"
      ]
    },
    {
      "page": "gen_clustloc",
      "title": "Generate Cluster Locations",
      "topics": [
        "gen_clustloc"
      ]
    },
    {
      "page": "gen_cone",
      "title": "Generate Blunted Cone",
      "topics": [
        "gen_cone"
      ]
    },
    {
      "page": "gen_conicSpiral",
      "title": "Generate Conical Spiral",
      "topics": [
        "gen_conicspiral"
      ]
    },
    {
      "page": "gen_crescent",
      "title": "Generate Crescent",
      "topics": [
        "gen_crescent"
      ]
    },
    {
      "page": "gen_cubic",
      "title": "Generate Cubic",
      "topics": [
        "gen_cubic"
      ]
    },
    {
      "page": "gen_curvybranches",
      "title": "Generate data with curvy shaped branches",
      "topics": [
        "gen_curvybranches"
      ]
    },
    {
      "page": "gen_curvycycle",
      "title": "Generate Curvy Cell Cycle in p-d",
      "topics": [
        "gen_curvycycle"
      ]
    },
    {
      "page": "gen_curvyCylinder",
      "title": "Generate Curvy Cylinder",
      "topics": [
        "gen_curvycylinder"
      ]
    },
    {
      "page": "gen_expbranches",
      "title": "Generate data with exponential shaped branches",
      "topics": [
        "gen_expbranches"
      ]
    },
    {
      "page": "gen_gaussian",
      "title": "Generate Multivariate Gaussian Cloud",
      "topics": [
        "gen_gaussian"
      ]
    },
    {
      "page": "gen_gridcube",
      "title": "Generate Cube with grid points",
      "topics": [
        "gen_gridcube"
      ]
    },
    {
      "page": "gen_gridedSphere",
      "title": "Generate Grided Sphere",
      "topics": [
        "gen_gridedsphere"
      ]
    },
    {
      "page": "gen_helicalspiral",
      "title": "Generate Helical Hyper Spiral",
      "topics": [
        "gen_helicalspiral"
      ]
    },
    {
      "page": "gen_hemisphere",
      "title": "Generate Hemisphere",
      "topics": [
        "gen_hemisphere"
      ]
    },
    {
      "page": "gen_hole",
      "title": "Remove points within a spherical hole in the middle",
      "topics": [
        "gen_hole"
      ]
    },
    {
      "page": "gen_hollowsphere",
      "title": "Generate Hollow Sphere",
      "topics": [
        "gen_hollowsphere"
      ]
    },
    {
      "page": "gen_linearbranches",
      "title": "Generate data with linear shaped branches",
      "topics": [
        "gen_linearbranches"
      ]
    },
    {
      "page": "gen_longLinear",
      "title": "Generate Long Linear Data",
      "topics": [
        "gen_longlinear"
      ]
    },
    {
      "page": "gen_mobius",
      "title": "Generate a 3-D Mobius",
      "topics": [
        "gen_mobius"
      ]
    },
    {
      "page": "gen_multicluster",
      "title": "Generate Multiple Clusters",
      "topics": [
        "gen_multicluster"
      ]
    },
    {
      "page": "gen_noisedims",
      "title": "Generate Random Noise Dimensions",
      "topics": [
        "gen_noisedims"
      ]
    },
    {
      "page": "gen_nonlinear",
      "title": "Generate Nonlinear Hyperbola",
      "topics": [
        "gen_nonlinear"
      ]
    },
    {
      "page": "gen_nproduct",
      "title": "Generates a vector of positive integers whose product is approximately equal to a target value.",
      "topics": [
        "gen_nproduct"
      ]
    },
    {
      "page": "gen_nsum",
      "title": "Generates a vector of positive integers whose summation is approximately equal to a target value.",
      "topics": [
        "gen_nsum"
      ]
    },
    {
      "page": "gen_orgcurvybranches",
      "title": "Generate data with curvy shaped branches in a initial point",
      "topics": [
        "gen_orgcurvybranches"
      ]
    },
    {
      "page": "gen_orglinearbranches",
      "title": "Generate data with linear shaped branches in a initial point",
      "topics": [
        "gen_orglinearbranches"
      ]
    },
    {
      "page": "gen_pyrfrac",
      "title": "Generate p-D Triangular Pyramid With Triangular Pyramid shaped holes",
      "topics": [
        "gen_pyrfrac"
      ]
    },
    {
      "page": "gen_pyrrect",
      "title": "Generate Rectangular-based Pyramid",
      "topics": [
        "gen_pyrrect"
      ]
    },
    {
      "page": "gen_pyrstar",
      "title": "Generate Star Based Pyramid",
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    },
    {
      "page": "gen_pyrtri",
      "title": "Generate Triangular Based Pyramid",
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      "page": "gen_quadratic",
      "title": "Generate Quadratic",
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    {
      "page": "gen_rotation",
      "title": "Generate Rotations",
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    },
    {
      "page": "gen_scurve",
      "title": "Generate S-curve Data",
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      "page": "gen_scurvehole",
      "title": "Generate S-curve Data with a Hole",
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    {
      "page": "gen_sphericalSpiral",
      "title": "Generate Spherical Spiral",
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    {
      "page": "gen_swissRoll",
      "title": "Generate Swiss Roll Data",
      "topics": [
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    },
    {
      "page": "gen_trefoil3d",
      "title": "Generate 3-D Trefoil Knot Coordinates (Stereographic Projection)",
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    },
    {
      "page": "gen_trefoil4d",
      "title": "Generate 4-D Trefoil Knot Coordinates",
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    {
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      "title": "Generate Cube with uniform points",
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    {
      "page": "gen_unifSphere",
      "title": "Generate Uniform Sphere",
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    },
    {
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      "title": "Generate Random Noise Dimensions With Wavy Pattern",
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      "title": "Generate Random Noise Dimensions With Wavy Pattern",
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      "page": "make_chain_curvycycle",
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      "title": "Generate Curvy Quadratic and Gaussian Clusters",
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      "page": "make_gaucurvycycle",
      "title": "Generate Concentric Curvycycles with a Gaussian Cluster in High Dimensions",
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      "page": "make_klink_circles",
      "title": "Generate Multiple Interlocked Circles in High-Dimensional Space",
      "topics": [
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      "page": "make_klink_curvycycle",
      "title": "Generate Multiple Interlocked curvycycle in High-Dimensional Space",
      "topics": [
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      "page": "make_mobiusgau",
      "title": "Generate Gaussian cluster with the Mobius Cluster",
      "topics": [
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      "page": "make_onegrid",
      "title": "Generate a Single Grid Cluster in High Dimensions",
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      "page": "make_twogrid_overlap",
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    {
      "page": "mobiusgau",
      "title": "Mobius clust dataset with a noise dimension",
      "topics": [
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    {
      "page": "mobiusgau_tsne1",
      "title": "tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 15.",
      "topics": [
        "mobiusgau_tsne1"
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    {
      "page": "mobiusgau_tsne2",
      "title": "tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 30.",
      "topics": [
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    {
      "page": "mobiusgau_tsne3",
      "title": "tSNE embedding for mobiusgau dataset which with noise dimensions tSNE parameters set to perplexity: 5.",
      "topics": [
        "mobiusgau_tsne3"
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    {
      "page": "mobiusgau_umap1",
      "title": "UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 15 and min-dist: 0.1.",
      "topics": [
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      "page": "mobiusgau_umap2",
      "title": "UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 30 and min-dist: 0.08.",
      "topics": [
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      "page": "mobiusgau_umap3",
      "title": "UMAP embedding for mobiusgau dataset which with noise dimensions UMAP parameters set to n-neigbors: 5 and min-dist: 0.9.",
      "topics": [
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      "topics": [
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