{
  "_id": "6a27c09e24555f66ed53d0b1",
  "Package": "RSDA",
  "Type": "Package",
  "Title": "R to Symbolic Data Analysis",
  "Version": "3.1.1",
  "Date": "2023-09-06",
  "Authors@R": "c(\nperson(\"Oldemar\", \"Rodriguez\", email = \"oldemar.rodriguez@ucr.ac.cr\", role = c(\"aut\", \"cre\")),\nperson(\"Jose Emmanuel\", \"Chacon\", email = \"eman.jos@gmail.com\", role = \"cph\"),\nperson(\"Carlos\", \"Aguero\", email = \"carlos.aguero@promidat.com\", role = \"cph\"),\nperson(\"Jorge\", \"Arce\", role = \"cph\"))",
  "Description": "Symbolic Data Analysis (SDA) was proposed by professor\nEdwin Diday in 1987, the main purpose of SDA is to substitute\nthe set of rows (cases) in the data table for a concept (second\norder statistical unit). This package implements, to the\nsymbolic case, certain techniques of automatic classification,\nas well as some linear models.",
  "License": "GPL (>=2)",
  "Encoding": "UTF-8",
  "URL": "https://oldemarrodriguez.com/",
  "RoxygenNote": "7.2.3",
  "VignetteBuilder": "knitr",
  "LazyData": "true",
  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev python3 libnode-dev",
  "Repository": "https://promidat.r-universe.dev",
  "Date/Publication": "2023-09-06 22:12:47 UTC",
  "RemoteUrl": "https://github.com/PROMiDAT/RSDA",
  "RemoteRef": "HEAD",
  "RemoteSha": "08d0e0e31a7fa0c216806f8c0b48ddbae9c49a9e",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-09 07:10:47 UTC",
    "User": "root"
  },
  "Author": "Oldemar Rodriguez [aut, cre],\nJose Emmanuel Chacon [cph],\nCarlos Aguero [cph],\nJorge Arce [cph]",
  "Maintainer": "Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>",
  "MD5sum": "07b710fed545774f6d49d1c7bbaaebe4",
  "_user": "promidat",
  "_type": "src",
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  "_created": "2026-06-09T07:10:47.000Z",
  "_published": "2026-06-09T07:28:30.566Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/promidat/actions/runs/27189813018",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/PROMiDAT/RSDA",
  "_commit": {
    "id": "08d0e0e31a7fa0c216806f8c0b48ddbae9c49a9e",
    "author": "Carlos Agüero B <dev.aguero@gmail.com>",
    "committer": "Carlos Agüero B <dev.aguero@gmail.com>",
    "message": "cambios de prueba\n\ncambios de prueba\n",
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  "_updates": [],
  "_tags": [],
  "_topics": [
    "analysis",
    "data",
    "histogram",
    "interval",
    "pca",
    "symbolic"
  ],
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    "name": "PROMiDAT",
    "description": "PROMiDAT Iberoamericano S.A."
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "version": "1.0",
      "date": "2013-05-29"
    },
    {
      "version": "1.1",
      "date": "2013-06-30"
    },
    {
      "version": "1.2",
      "date": "2014-03-18"
    },
    {
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      "date": "2015-11-04"
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    {
      "version": "1.4",
      "date": "2017-05-30"
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      "date": "2017-06-08"
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      "date": "2017-07-21"
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    {
      "version": "2.0.3",
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      "version": "2.0.4",
      "date": "2018-04-30"
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      "version": "2.0.5",
      "date": "2018-07-30"
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    {
      "version": "2.0.7",
      "date": "2018-10-05"
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    {
      "version": "2.0.8",
      "date": "2018-10-10"
    },
    {
      "version": "3.0",
      "date": "2019-10-22"
    },
    {
      "version": "3.0.1",
      "date": "2020-01-21"
    },
    {
      "version": "3.0.3",
      "date": "2020-04-16"
    },
    {
      "version": "3.0.4",
      "date": "2020-06-07"
    },
    {
      "version": "3.0.9",
      "date": "2021-01-27"
    },
    {
      "version": "3.0.12",
      "date": "2022-07-04"
    },
    {
      "version": "3.0.13",
      "date": "2022-07-16"
    },
    {
      "version": "3.1.0",
      "date": "2023-04-22"
    },
    {
      "version": "3.2.1",
      "date": "2023-11-10"
    },
    {
      "version": "3.2.4",
      "date": "2025-06-02"
    },
    {
      "version": "3.2.5",
      "date": "2025-09-24"
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  ],
  "_exports": [
    "%>%",
    "calc.burt.sym",
    "classic.to.sym",
    "cor",
    "deter.coefficient",
    "get_cats",
    "get_props",
    "interval.centers",
    "interval.histogram.plot",
    "interval.max",
    "interval.min",
    "interval.ranges",
    "is.sym.histogram",
    "is.sym.interval",
    "is.sym.modal",
    "is.sym.set",
    "map_symbolic_tbl",
    "mcfa.scatterplot",
    "method_summary",
    "pca.supplementary.vertex.lambda.fun.j",
    "R2.L",
    "R2.U",
    "read.sym.table",
    "RMSE.L",
    "RMSE.U",
    "sd",
    "SDS.to.RSDA",
    "SODAS.to.RSDA",
    "sym.circle.plot",
    "sym.dist.interval",
    "sym.gbm",
    "sym.glm",
    "sym.histogram",
    "sym.interval",
    "sym.interval.pc",
    "sym.interval.pc.limits",
    "sym.kmeans",
    "sym.knn",
    "sym.lm",
    "sym.mcfa",
    "sym.modal",
    "sym.nnet",
    "sym.pca",
    "sym.predict",
    "sym.radar.data",
    "sym.radar.plot",
    "sym.rf",
    "sym.rt",
    "sym.scatterplot",
    "sym.set",
    "sym.svm",
    "sym.umap",
    "sym.var",
    "var",
    "variance.princ.curve",
    "vec_ptype_abbr.symbolic_histogram",
    "vec_ptype_abbr.symbolic_interval",
    "vec_ptype_abbr.symbolic_modal",
    "vec_ptype_abbr.symbolic_set",
    "vec_ptype_full.symbolic_histogram",
    "vec_ptype_full.symbolic_interval",
    "vec_ptype_full.symbolic_modal",
    "vec_ptype_full.symbolic_set",
    "write.sym.table"
  ],
  "_datasets": [
    {
      "name": "abalone",
      "title": "SODAS XML data file.",
      "object": "abalone",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "LENGTH",
        "DIAMETER",
        "HEIGHT",
        "WHOLE_WEIGHT",
        "SHUCKED_WEIGHT",
        "VISCERA_WEIGHT",
        "SHELL_WEIGHT"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "Cardiological",
      "title": "Cardiological data example",
      "object": "Cardiological",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Pulse",
        "Syst",
        "Diast"
      ],
      "rows": 11,
      "table": true,
      "tojson": true
    },
    {
      "name": "cardiologicalv2",
      "title": "Cardiological data example",
      "object": "cardiologicalv2",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Pulse",
        "Syst",
        "Diast",
        "Art1",
        "Art2"
      ],
      "rows": 44,
      "table": true,
      "tojson": true
    },
    {
      "name": "ex_cfa1",
      "title": "Correspondence Analysis Example",
      "object": "ex_cfa1",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "blackh",
        "brownh",
        "redh",
        "blondh"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "ex_cfa2",
      "title": "Correspondence Analysis Example",
      "object": "ex_cfa2",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "apuntes1",
        "Aprendizaje1",
        "Responder1",
        "Respo1",
        "Reflexionar1"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    },
    {
      "name": "ex_mcfa1",
      "title": "Multiple Correspondence Analysis Example",
      "object": "ex_mcfa1",
      "class": [
        "data.frame"
      ],
      "fields": [
        "suspect",
        "age",
        "hair",
        "eyes",
        "region"
      ],
      "rows": 130,
      "table": true,
      "tojson": true
    },
    {
      "name": "ex_mcfa2",
      "title": "Multiple Correspondence Analysis Example",
      "object": "ex_mcfa2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "employee_id",
        "salary",
        "region",
        "income_year",
        "age",
        "evaluation",
        "years_worked"
      ],
      "rows": 130,
      "table": true,
      "tojson": true
    },
    {
      "name": "ex1_db2so",
      "title": "Data example to generate symbolic objets",
      "object": "ex1_db2so",
      "class": [
        "data.frame"
      ],
      "fields": [
        "state",
        "sex",
        "county",
        "group",
        "age"
      ],
      "rows": 19,
      "table": true,
      "tojson": true
    },
    {
      "name": "example1",
      "title": "Data Example 1",
      "object": "example1",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "F1",
        "F2",
        "F3",
        "F4"
      ],
      "rows": 5,
      "table": false,
      "tojson": true
    },
    {
      "name": "example2",
      "title": "Data Example 2",
      "object": "example2",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "F1",
        "F2",
        "F3",
        "F4",
        "F5"
      ],
      "rows": 5,
      "table": false,
      "tojson": true
    },
    {
      "name": "example3",
      "title": "Data Example 3",
      "object": "example3",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "F1",
        "F2",
        "F3",
        "F4",
        "F5",
        "F6",
        "F7"
      ],
      "rows": 7,
      "table": false,
      "tojson": true
    },
    {
      "name": "example4",
      "title": "Data Example 4",
      "object": "example4",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "2.8",
        "1",
        "3",
        "6",
        "F4",
        "0"
      ],
      "rows": 6,
      "table": false,
      "tojson": true
    },
    {
      "name": "example5",
      "title": "Data Example 5",
      "object": "example5",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "F0",
        "F1",
        "F2",
        "F3",
        "F4"
      ],
      "rows": 5,
      "table": false,
      "tojson": true
    },
    {
      "name": "example6",
      "title": "Data Example 6",
      "object": "example6",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "F1",
        "F2",
        "F3",
        "F4",
        "F5",
        "F6"
      ],
      "rows": 5,
      "table": false,
      "tojson": true
    },
    {
      "name": "example7",
      "title": "Data Example 7",
      "object": "example7",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "F1",
        "F2",
        "F3",
        "F4",
        "F5"
      ],
      "rows": 5,
      "table": false,
      "tojson": true
    },
    {
      "name": "facedata",
      "title": "Face Data Example",
      "object": "facedata",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "AD",
        "BC",
        "AH",
        "DH",
        "EH",
        "GH"
      ],
      "rows": 27,
      "table": true,
      "tojson": true
    },
    {
      "name": "int_prost_test",
      "title": "Linear regression model data example.",
      "object": "int_prost_test",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "lcavol",
        "lweight",
        "age",
        "lbph",
        "svi",
        "lcp",
        "gleason",
        "pgg45",
        "lpsa"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "int_prost_train",
      "title": "Linear regression model data example.",
      "object": "int_prost_train",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "lcavol",
        "lweight",
        "age",
        "lbph",
        "svi",
        "lcp",
        "gleason",
        "pgg45",
        "lpsa"
      ],
      "rows": 67,
      "table": true,
      "tojson": true
    },
    {
      "name": "lynne1",
      "title": "Symbolic interval data example.",
      "object": "lynne1",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "concept",
        "Pulse Rate",
        "Systolic Pressure",
        "Diastolic Pressure"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "oils",
      "title": "Ichino Oils example data.",
      "object": "oils",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "GRA",
        "FRE",
        "IOD",
        "SAP"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "USCrime",
      "title": "Us crime classic data table",
      "object": "USCrime",
      "class": [
        "data.frame"
      ],
      "fields": [
        "state",
        "fold",
        "population",
        "householdsize",
        "racepctblack",
        "racePctWhite",
        "racePctAsian",
        "racePctHisp",
        "agePct12t21",
        "agePct12t29",
        "agePct16t24",
        "agePct65up",
        "numbUrban",
        "pctUrban",
        "medIncome",
        "pctWWage",
        "pctWFarmSelf",
        "pctWInvInc",
        "pctWSocSec",
        "pctWPubAsst",
        "pctWRetire",
        "medFamInc",
        "perCapInc",
        "whitePerCap",
        "blackPerCap",
        "indianPerCap",
        "AsianPerCap",
        "OtherPerCap",
        "HispPerCap",
        "NumUnderPov",
        "PctPopUnderPov",
        "PctLess9thGrade",
        "PctNotHSGrad",
        "PctBSorMore",
        "PctUnemployed",
        "PctEmploy",
        "PctEmplManu",
        "PctEmplProfServ",
        "PctOccupManu",
        "PctOccupMgmtProf",
        "MalePctDivorce",
        "MalePctNevMarr",
        "FemalePctDiv",
        "TotalPctDiv",
        "PersPerFam",
        "PctFam2Par",
        "PctKids2Par",
        "PctYoungKids2Par",
        "PctTeen2Par",
        "PctWorkMomYoungKids",
        "PctWorkMom",
        "NumIlleg",
        "PctIlleg",
        "NumImmig",
        "PctImmigRecent",
        "PctImmigRec5",
        "PctImmigRec8",
        "PctImmigRec10",
        "PctRecentImmig",
        "PctRecImmig5",
        "PctRecImmig8",
        "PctRecImmig10",
        "PctSpeakEnglOnly",
        "PctNotSpeakEnglWell",
        "PctLargHouseFam",
        "PctLargHouseOccup",
        "PersPerOccupHous",
        "PersPerOwnOccHous",
        "PersPerRentOccHous",
        "PctPersOwnOccup",
        "PctPersDenseHous",
        "PctHousLess3BR",
        "MedNumBR",
        "HousVacant",
        "PctHousOccup",
        "PctHousOwnOcc",
        "PctVacantBoarded",
        "PctVacMore6Mos",
        "MedYrHousBuilt",
        "PctHousNoPhone",
        "PctWOFullPlumb",
        "OwnOccLowQuart",
        "OwnOccMedVal",
        "OwnOccHiQuart",
        "RentLowQ",
        "RentMedian",
        "RentHighQ",
        "MedRent",
        "MedRentPctHousInc",
        "MedOwnCostPctInc",
        "MedOwnCostPctIncNoMtg",
        "NumInShelters",
        "NumStreet",
        "PctForeignBorn",
        "PctBornSameState",
        "PctSameHouse85",
        "PctSameCity85",
        "PctSameState85",
        "LandArea",
        "PopDens",
        "PctUsePubTrans",
        "LemasPctOfficDrugUn",
        "ViolentCrimesPerPop"
      ],
      "rows": 1994,
      "table": true,
      "tojson": true
    },
    {
      "name": "uscrime_int",
      "title": "Us crime interval data table.",
      "object": "uscrime_int",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "fold",
        "population",
        "householdsize",
        "racepctblack",
        "racePctWhite",
        "racePctAsian",
        "racePctHisp",
        "agePct12t21",
        "agePct12t29",
        "agePct16t24",
        "agePct65up",
        "numbUrban",
        "pctUrban",
        "medIncome",
        "pctWWage",
        "pctWFarmSelf",
        "pctWInvInc",
        "pctWSocSec",
        "pctWPubAsst",
        "pctWRetire",
        "medFamInc",
        "perCapInc",
        "whitePerCap",
        "blackPerCap",
        "indianPerCap",
        "AsianPerCap",
        "OtherPerCap",
        "HispPerCap",
        "NumUnderPov",
        "PctPopUnderPov",
        "PctLess9thGrade",
        "PctNotHSGrad",
        "PctBSorMore",
        "PctUnemployed",
        "PctEmploy",
        "PctEmplManu",
        "PctEmplProfServ",
        "PctOccupManu",
        "PctOccupMgmtProf",
        "MalePctDivorce",
        "MalePctNevMarr",
        "FemalePctDiv",
        "TotalPctDiv",
        "PersPerFam",
        "PctFam2Par",
        "PctKids2Par",
        "PctYoungKids2Par",
        "PctTeen2Par",
        "PctWorkMomYoungKids",
        "PctWorkMom",
        "NumIlleg",
        "PctIlleg",
        "NumImmig",
        "PctImmigRecent",
        "PctImmigRec5",
        "PctImmigRec8",
        "PctImmigRec10",
        "PctRecentImmig",
        "PctRecImmig5",
        "PctRecImmig8",
        "PctRecImmig10",
        "PctSpeakEnglOnly",
        "PctNotSpeakEnglWell",
        "PctLargHouseFam",
        "PctLargHouseOccup",
        "PersPerOccupHous",
        "PersPerOwnOccHous",
        "PersPerRentOccHous",
        "PctPersOwnOccup",
        "PctPersDenseHous",
        "PctHousLess3BR",
        "MedNumBR",
        "HousVacant",
        "PctHousOccup",
        "PctHousOwnOcc",
        "PctVacantBoarded",
        "PctVacMore6Mos",
        "MedYrHousBuilt",
        "PctHousNoPhone",
        "PctWOFullPlumb",
        "OwnOccLowQuart",
        "OwnOccMedVal",
        "OwnOccHiQuart",
        "RentLowQ",
        "RentMedian",
        "RentHighQ",
        "MedRent",
        "MedRentPctHousInc",
        "MedOwnCostPctInc",
        "MedOwnCostPctIncNoMtg",
        "NumInShelters",
        "NumStreet",
        "PctForeignBorn",
        "PctBornSameState",
        "PctSameHouse85",
        "PctSameCity85",
        "PctSameState85",
        "LandArea",
        "PopDens",
        "PctUsePubTrans",
        "LemasPctOfficDrugUn",
        "ViolentCrimesPerPop"
      ],
      "rows": 46,
      "table": true,
      "tojson": true
    },
    {
      "name": "uscrime_intv2",
      "title": "Us crime interval data table.",
      "object": "uscrime_intv2",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "fold",
        "population",
        "householdsize",
        "racepctblack",
        "racePctWhite",
        "racePctAsian",
        "racePctHisp",
        "agePct12t21",
        "agePct12t29",
        "agePct16t24",
        "agePct65up",
        "numbUrban",
        "pctUrban",
        "medIncome",
        "pctWWage",
        "pctWFarmSelf",
        "pctWInvInc",
        "pctWSocSec",
        "pctWPubAsst",
        "pctWRetire",
        "medFamInc",
        "perCapInc",
        "whitePerCap",
        "blackPerCap",
        "indianPerCap",
        "AsianPerCap",
        "OtherPerCap",
        "HispPerCap",
        "NumUnderPov",
        "PctPopUnderPov",
        "PctLess9thGrade",
        "PctNotHSGrad",
        "PctBSorMore",
        "PctUnemployed",
        "PctEmploy",
        "PctEmplManu",
        "PctEmplProfServ",
        "PctOccupManu",
        "PctOccupMgmtProf",
        "MalePctDivorce",
        "MalePctNevMarr",
        "FemalePctDiv",
        "TotalPctDiv",
        "PersPerFam",
        "PctFam2Par",
        "PctKids2Par",
        "PctYoungKids2Par",
        "PctTeen2Par",
        "PctWorkMomYoungKids",
        "PctWorkMom",
        "NumIlleg",
        "PctIlleg",
        "NumImmig",
        "PctImmigRecent",
        "PctImmigRec5",
        "PctImmigRec8",
        "PctImmigRec10",
        "PctRecentImmig",
        "PctRecImmig5",
        "PctRecImmig8",
        "PctRecImmig10",
        "PctSpeakEnglOnly",
        "PctNotSpeakEnglWell",
        "PctLargHouseFam",
        "PctLargHouseOccup",
        "PersPerOccupHous",
        "PersPerOwnOccHous",
        "PersPerRentOccHous",
        "PctPersOwnOccup",
        "PctPersDenseHous",
        "PctHousLess3BR",
        "MedNumBR",
        "HousVacant",
        "PctHousOccup",
        "PctHousOwnOcc",
        "PctVacantBoarded",
        "PctVacMore6Mos",
        "MedYrHousBuilt",
        "PctHousNoPhone",
        "PctWOFullPlumb",
        "OwnOccLowQuart",
        "OwnOccMedVal",
        "OwnOccHiQuart",
        "RentLowQ",
        "RentMedian",
        "RentHighQ",
        "MedRent",
        "MedRentPctHousInc",
        "MedOwnCostPctInc",
        "MedOwnCostPctIncNoMtg",
        "NumInShelters",
        "NumStreet",
        "PctForeignBorn",
        "PctBornSameState",
        "PctSameHouse85",
        "PctSameCity85",
        "PctSameState85",
        "LandArea",
        "PopDens",
        "PctUsePubTrans",
        "LemasPctOfficDrugUn",
        "ViolentCrimesPerPop"
      ],
      "rows": 46,
      "table": true,
      "tojson": true
    },
    {
      "name": "VeterinaryData",
      "title": "Symbolic interval data example",
      "object": "VeterinaryData",
      "class": [
        "symbolic_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Height",
        "Weight"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "cash-.symbolic_histogram",
      "title": "$ operator for histograms",
      "topics": [
        "$.symbolic_histogram"
      ]
    },
    {
      "page": "cash-.symbolic_modal",
      "title": "$ operator for modals",
      "topics": [
        "$.symbolic_modal"
      ]
    },
    {
      "page": "cash-.symbolic_set",
      "title": "$ operator for set",
      "topics": [
        "$.symbolic_set"
      ]
    },
    {
      "page": "abalone",
      "title": "SODAS XML data file.",
      "topics": [
        "abalone"
      ]
    },
    {
      "page": "as.data.frame.symbolic_histogram",
      "title": "a data.frame",
      "topics": [
        "as.data.frame.symbolic_histogram"
      ]
    },
    {
      "page": "as.data.frame.symbolic_interval",
      "title": "convertir a data.frame",
      "topics": [
        "as.data.frame.symbolic_interval"
      ]
    },
    {
      "page": "as.data.frame.symbolic_modal",
      "title": "Extract values",
      "topics": [
        "as.data.frame.symbolic_modal"
      ]
    },
    {
      "page": "as.data.frame.symbolic_set",
      "title": "convertir a data.frame",
      "topics": [
        "as.data.frame.symbolic_set"
      ]
    },
    {
      "page": "calc.burt.sym",
      "title": "Burt Matrix",
      "topics": [
        "calc.burt.sym"
      ]
    },
    {
      "page": "Cardiological",
      "title": "Cardiological data example",
      "topics": [
        "Cardiological"
      ]
    },
    {
      "page": "cardiologicalv2",
      "title": "Cardiological data example",
      "topics": [
        "cardiologicalv2"
      ]
    },
    {
      "page": "centers.interval",
      "title": "Compute centers of the interval",
      "topics": [
        "centers.interval"
      ]
    },
    {
      "page": "classic.to.sym",
      "title": "Generate a symbolic data frame",
      "topics": [
        "classic.to.sym"
      ]
    },
    {
      "page": "cor",
      "title": "Generic function for the correlation",
      "topics": [
        "cor",
        "cor.default",
        "cor.symbolic_interval",
        "cor.symbolic_tbl"
      ]
    },
    {
      "page": "cov",
      "title": "Generic function for the covariance",
      "topics": [
        "cov",
        "cov.default",
        "cov.symbolic_interval",
        "cov.symbolic_tbl"
      ]
    },
    {
      "page": "deter.coefficient",
      "title": "Compute the determination cosfficient",
      "topics": [
        "deter.coefficient"
      ]
    },
    {
      "page": "dist.vect",
      "title": "Compute a distance vector",
      "topics": [
        "dist.vect"
      ]
    },
    {
      "page": "dist.vect.matrix",
      "title": "Compute the distance vector matrix",
      "topics": [
        "dist.vect.matrix"
      ]
    },
    {
      "page": "ex_cfa1",
      "title": "Correspondence Analysis Example",
      "topics": [
        "ex_cfa1"
      ]
    },
    {
      "page": "ex_cfa2",
      "title": "Correspondence Analysis Example",
      "topics": [
        "ex_cfa2"
      ]
    },
    {
      "page": "ex_mcfa1",
      "title": "Multiple Correspondence Analysis Example",
      "topics": [
        "ex_mcfa1"
      ]
    },
    {
      "page": "ex_mcfa2",
      "title": "Multiple Correspondence Analysis Example",
      "topics": [
        "ex_mcfa2"
      ]
    },
    {
      "page": "ex1_db2so",
      "title": "Data example to generate symbolic objets",
      "topics": [
        "ex1_db2so"
      ]
    },
    {
      "page": "example1",
      "title": "Data Example 1",
      "topics": [
        "example1"
      ]
    },
    {
      "page": "example2",
      "title": "Data Example 2",
      "topics": [
        "example2"
      ]
    },
    {
      "page": "example3",
      "title": "Data Example 3",
      "topics": [
        "example3"
      ]
    },
    {
      "page": "example4",
      "title": "Data Example 4",
      "topics": [
        "example4"
      ]
    },
    {
      "page": "example5",
      "title": "Data Example 5",
      "topics": [
        "example5"
      ]
    },
    {
      "page": "example6",
      "title": "Data Example 6",
      "topics": [
        "example6"
      ]
    },
    {
      "page": "example7",
      "title": "Data Example 7",
      "topics": [
        "example7"
      ]
    },
    {
      "page": "facedata",
      "title": "Face Data Example",
      "topics": [
        "facedata"
      ]
    },
    {
      "page": "format.symbolic_histogram",
      "title": "Symbolic modal conversion functions to and from Character",
      "topics": [
        "format.symbolic_histogram"
      ]
    },
    {
      "page": "format.symbolic_interval",
      "title": "Symbolic interval conversion functions to and from Character",
      "topics": [
        "format.symbolic_interval"
      ]
    },
    {
      "page": "format.symbolic_modal",
      "title": "Symbolic modal conversion functions to and from Character",
      "topics": [
        "format.symbolic_modal"
      ]
    },
    {
      "page": "format.symbolic_set",
      "title": "Symbolic set conversion functions to and from Character",
      "topics": [
        "format.symbolic_set"
      ]
    },
    {
      "page": "get_cats",
      "title": "Extract categories",
      "topics": [
        "get_cats"
      ]
    },
    {
      "page": "get_props",
      "title": "Extract prop",
      "topics": [
        "get_props"
      ]
    },
    {
      "page": "int_prost_test",
      "title": "Linear regression model data example.",
      "topics": [
        "int_prost_test"
      ]
    },
    {
      "page": "int_prost_train",
      "title": "Linear regression model data example.",
      "topics": [
        "int_prost_train"
      ]
    },
    {
      "page": "interval.centers",
      "title": "calcula centros",
      "topics": [
        "interval.centers"
      ]
    },
    {
      "page": "interval.histogram.plot",
      "title": "Histogram plot for an interval variable",
      "topics": [
        "interval.histogram.plot"
      ]
    },
    {
      "page": "interval.max",
      "title": "calcula maximos",
      "topics": [
        "interval.max"
      ]
    },
    {
      "page": "interval.min",
      "title": "calcula minimos",
      "topics": [
        "interval.min"
      ]
    },
    {
      "page": "interval.ranges",
      "title": "calcula rangos",
      "topics": [
        "interval.ranges"
      ]
    },
    {
      "page": "is.sym.histogram",
      "title": "Symbolic histogram",
      "topics": [
        "is.sym.histogram"
      ]
    },
    {
      "page": "is.sym.interval",
      "title": "Symbolic interval",
      "topics": [
        "is.sym.interval"
      ]
    },
    {
      "page": "is.sym.modal",
      "title": "Symbolic modal",
      "topics": [
        "is.sym.modal"
      ]
    },
    {
      "page": "is.sym.set",
      "title": "Symbolic set",
      "topics": [
        "is.sym.set"
      ]
    },
    {
      "page": "lynne1",
      "title": "Symbolic interval data example.",
      "topics": [
        "lynne1"
      ]
    },
    {
      "page": "mcfa.scatterplot",
      "title": "Plot Interval Scatterplot",
      "topics": [
        "mcfa.scatterplot"
      ]
    },
    {
      "page": "Symbolic_mean",
      "title": "Symbolic mean for intervals",
      "topics": [
        "mean.symbolic_interval",
        "mean.symbolic_tbl"
      ]
    },
    {
      "page": "Symbolic_median",
      "title": "Symbolic Median",
      "topics": [
        "median.symbolic_interval",
        "median.symbolic_tbl"
      ]
    },
    {
      "page": "method_summary",
      "title": "Summary method to CM and CRM regression model",
      "topics": [
        "method_summary"
      ]
    },
    {
      "page": "Maxima_and_Minima",
      "title": "Maxima and Minima",
      "topics": [
        "$.symbolic_interval",
        "max.symbolic_interval",
        "min.symbolic_interval"
      ]
    },
    {
      "page": "neighbors.vertex",
      "title": "Compute neighbors vertex",
      "topics": [
        "neighbors.vertex"
      ]
    },
    {
      "page": "norm.vect",
      "title": "Compute the norm of a vector.",
      "topics": [
        "norm.vect"
      ]
    },
    {
      "page": "oils",
      "title": "Ichino Oils example data.",
      "topics": [
        "oils",
        "olils"
      ]
    },
    {
      "page": "plot.sym_umap",
      "title": "Plot UMAP for symbolic data tables",
      "topics": [
        "plot.sym_umap"
      ]
    },
    {
      "page": "plot.symbolic_tbl",
      "title": "Function for plotting a symbolic object",
      "topics": [
        "plot.symbolic_tbl"
      ]
    },
    {
      "page": "R2.L",
      "title": "Lower boundary correlation coefficient.",
      "topics": [
        "R2.L"
      ]
    },
    {
      "page": "R2.U",
      "title": "Upper boundary correlation coefficient.",
      "topics": [
        "R2.U"
      ]
    },
    {
      "page": "read.sym.table",
      "title": "Read a Symbolic Table",
      "topics": [
        "read.sym.table"
      ]
    },
    {
      "page": "RMSE.L",
      "title": "Lower boundary root-mean-square error",
      "topics": [
        "RMSE.L"
      ]
    },
    {
      "page": "RMSE.U",
      "title": "Upper boundary root-mean-square error",
      "topics": [
        "RMSE.U"
      ]
    },
    {
      "page": "RSDA",
      "title": "R to Symbolic Data Analysis",
      "topics": [
        "RSDA"
      ]
    },
    {
      "page": "sd",
      "title": "Generic function for the standard desviation",
      "topics": [
        "sd",
        "sd.default",
        "sd.symbolic_interval",
        "sd.symbolic_tbl"
      ]
    },
    {
      "page": "SDS.to.RSDA",
      "title": "SDS SODAS files to RSDA files.",
      "topics": [
        "SDS.to.RSDA"
      ]
    },
    {
      "page": "SODAS.to.RSDA",
      "title": "XML SODAS files to RSDA files.",
      "topics": [
        "SODAS.to.RSDA"
      ]
    },
    {
      "page": "sym.circle.plot",
      "title": "Symbolic Circle of Correlations",
      "topics": [
        "sym.circle.plot"
      ]
    },
    {
      "page": "sym.dist.interval",
      "title": "Distance for Symbolic Interval Variables.",
      "topics": [
        "sym.dist.interval"
      ]
    },
    {
      "page": "sym.gbm",
      "title": "Generalized Boosted Symbolic Regression",
      "topics": [
        "sym.gbm"
      ]
    },
    {
      "page": "sym.glm",
      "title": "Lasso, Ridge and and Elastic Net Linear regression model to interval variables",
      "topics": [
        "sym.glm"
      ]
    },
    {
      "page": "sym.histogram",
      "title": "Create an symbolic_histogram type object",
      "topics": [
        "sym.histogram"
      ]
    },
    {
      "page": "sym.interval",
      "title": "Create an symbolic_interval type object",
      "topics": [
        "sym.interval"
      ]
    },
    {
      "page": "sym.interval.pc",
      "title": "Compute a symbolic interval principal components curves",
      "topics": [
        "sym.interval.pc"
      ]
    },
    {
      "page": "sym.interval.pc.limits",
      "title": "Symbolic interval principal curves limits",
      "topics": [
        "sym.interval.pc.limits"
      ]
    },
    {
      "page": "sym.kmeans",
      "title": "Symbolic k-Means",
      "topics": [
        "sym.kmeans"
      ]
    },
    {
      "page": "sym.knn",
      "title": "Symbolic k-Nearest Neighbor Regression",
      "topics": [
        "sym.knn"
      ]
    },
    {
      "page": "sym.lm",
      "title": "CM and CRM Linear regression model.",
      "topics": [
        "sym.lm"
      ]
    },
    {
      "page": "sym.mcfa",
      "title": "sym.mcfa",
      "topics": [
        "sym.mcfa"
      ]
    },
    {
      "page": "sym.modal",
      "title": "Create an symbolic_modal type object",
      "topics": [
        "sym.modal"
      ]
    },
    {
      "page": "sym.nnet",
      "title": "Symbolic neural networks regression",
      "topics": [
        "sym.nnet"
      ]
    },
    {
      "page": "sym.pca",
      "title": "Interval Principal Components Analysis.",
      "topics": [
        "sym.interval.pca",
        "sym.pca",
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