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  "Title": "Analysis and Visualization of Basketball Data",
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  "Authors@R": "c(person(given = \"Marco\",\nfamily = \"Sandri\",\nrole = c(\"aut\", \"cre\"),\nemail = \"basketballanalyzer.help@unibs.it\",\ncomment = c(ORCID = \"0000-0002-1422-5695\")),\nperson(given = \"Paola\",\nfamily = \"Zuccolotto\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-4399-7018\")),\nperson(given = \"Marica\",\nfamily = \"Manisera\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-2982-0243\")))",
  "Description": "Contains data and code to accompany the book P. Zuccolotto\nand M. Manisera (2020) Basketball Data Science. Applications\nwith R. CRC Press. ISBN 9781138600799.",
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    "scatterplot",
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    "shotchart",
    "simplereg",
    "TOPboxes",
    "variability"
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      "name": "Obox",
      "title": "Opponents box scores dataset - NBA 2017-2018",
      "object": "Obox",
      "class": [
        "data.frame"
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      "fields": [
        "Team",
        "GP",
        "MIN",
        "PTS",
        "W",
        "L",
        "P2M",
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        "P3M",
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        "FTM",
        "FTA",
        "FTp",
        "OREB",
        "DREB",
        "AST",
        "TOV",
        "STL",
        "BLK",
        "PF",
        "PM"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "Pbox",
      "title": "Players box scores dataset - NBA 2017-2018",
      "object": "Pbox",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Team",
        "Player",
        "GP",
        "MIN",
        "PTS",
        "P2M",
        "P2A",
        "P2p",
        "P3M",
        "P3A",
        "P3p",
        "FTM",
        "FTA",
        "FTp",
        "OREB",
        "DREB",
        "AST",
        "TOV",
        "STL",
        "BLK",
        "PF",
        "PM"
      ],
      "rows": 605,
      "table": true,
      "tojson": true
    },
    {
      "name": "PbP.BDB",
      "title": "Play-by-play dataset - NBA 2017-2018",
      "object": "PbP.BDB",
      "class": [
        "data.frame"
      ],
      "fields": [
        "game_id",
        "data_set",
        "date",
        "a1",
        "a2",
        "a3",
        "a4",
        "a5",
        "h1",
        "h2",
        "h3",
        "h4",
        "h5",
        "period",
        "away_score",
        "home_score",
        "remaining_time",
        "elapsed",
        "play_length",
        "play_id",
        "team",
        "event_type",
        "assist",
        "away",
        "home",
        "block",
        "entered",
        "left",
        "num",
        "opponent",
        "outof",
        "player",
        "points",
        "possession",
        "reason",
        "result",
        "steal",
        "type",
        "shot_distance",
        "original_x",
        "original_y",
        "converted_x",
        "converted_y",
        "description"
      ],
      "rows": 37430,
      "table": true,
      "tojson": true
    },
    {
      "name": "Tadd",
      "title": "Tadd dataset - NBA 2017-2018",
      "object": "Tadd",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Team",
        "team",
        "Conference",
        "Division",
        "Rank",
        "Playoff"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "Tbox",
      "title": "Teams box scores dataset - NBA 2017-2018",
      "object": "Tbox",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Team",
        "GP",
        "MIN",
        "PTS",
        "W",
        "L",
        "P2M",
        "P2A",
        "P2p",
        "P3M",
        "P3A",
        "P3p",
        "FTM",
        "FTA",
        "FTp",
        "OREB",
        "DREB",
        "AST",
        "TOV",
        "STL",
        "BLK",
        "PF",
        "PM"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    }
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  "_help": [
    {
      "page": "assistnet",
      "title": "Investigates the network of assists-shots in a team",
      "topics": [
        "assistnet"
      ]
    },
    {
      "page": "barline",
      "title": "Draws a bar-line plot",
      "topics": [
        "barline"
      ]
    },
    {
      "page": "bubbleplot",
      "title": "Draws a bubble plot",
      "topics": [
        "bubbleplot"
      ]
    },
    {
      "page": "corranalysis",
      "title": "Correlation analysis",
      "topics": [
        "corranalysis"
      ]
    },
    {
      "page": "CreateRadialPlot",
      "title": "R function CreateRadialPlot by William D. Vickers, freely downloadable from the web",
      "topics": [
        "CreateRadialPlot"
      ]
    },
    {
      "page": "densityplot",
      "title": "Computes and plots kernel density estimation of shots with respect to a concurrent variable",
      "topics": [
        "densityplot"
      ]
    },
    {
      "page": "drawNBAcourt",
      "title": "Add lines of NBA court to an existing ggplot2 plot",
      "topics": [
        "drawNBAcourt"
      ]
    },
    {
      "page": "expectedpts",
      "title": "Plots expected points of shots as a function of the distance from the basket (default) or another variable",
      "topics": [
        "expectedpts"
      ]
    },
    {
      "page": "fourfactors",
      "title": "Calculates possessions, pace, offensive and defensive rating, and Four Factors",
      "topics": [
        "fourfactors"
      ]
    },
    {
      "page": "hclustering",
      "title": "Agglomerative hierarchical clustering",
      "topics": [
        "hclustering"
      ]
    },
    {
      "page": "inequality",
      "title": "Inequality analysis",
      "topics": [
        "inequality"
      ]
    },
    {
      "page": "is.assistnet",
      "title": "Reports whether x is a 'networkdata' object",
      "topics": [
        "is.assistnet"
      ]
    },
    {
      "page": "is.corranalysis",
      "title": "Reports whether x is a 'corranalysis' object",
      "topics": [
        "is.corranalysis"
      ]
    },
    {
      "page": "is.fourfactors",
      "title": "Reports whether x is a 'fourfactors' object",
      "topics": [
        "is.fourfactors"
      ]
    },
    {
      "page": "is.hclustering",
      "title": "Reports whether x is a 'hclustering' object",
      "topics": [
        "is.hclustering"
      ]
    },
    {
      "page": "is.inequality",
      "title": "Reports whether x is a 'inequality' object.",
      "topics": [
        "is.inequality"
      ]
    },
    {
      "page": "is.kclustering",
      "title": "Reports whether x is a 'kclustering' object",
      "topics": [
        "is.kclustering"
      ]
    },
    {
      "page": "is.MDSmap",
      "title": "Reports whether x is a 'MDSmap' object",
      "topics": [
        "is.MDSmap"
      ]
    },
    {
      "page": "is.simplereg",
      "title": "Reports whether x is a 'simplereg' object",
      "topics": [
        "is.simplereg"
      ]
    },
    {
      "page": "is.variability",
      "title": "Reports whether x is a 'variability' object",
      "topics": [
        "is.variability"
      ]
    },
    {
      "page": "kclustering",
      "title": "K-means cluster analysis",
      "topics": [
        "kclustering"
      ]
    },
    {
      "page": "MDSmap",
      "title": "Multidimensional scaling (MDS) in 2 dimensions",
      "topics": [
        "MDSmap"
      ]
    },
    {
      "page": "Obox",
      "title": "Opponents box scores dataset - NBA 2017-2018",
      "topics": [
        "Obox"
      ]
    },
    {
      "page": "Pbox",
      "title": "Players box scores dataset - NBA 2017-2018",
      "topics": [
        "Pbox"
      ]
    },
    {
      "page": "PbP.BDB",
      "title": "Play-by-play dataset - NBA 2017-2018",
      "topics": [
        "PbP.BDB"
      ]
    },
    {
      "page": "PbPmanipulation",
      "title": "Adapts the standard file supplied by BigDataBall to the format required by BasketballAnalyzeR",
      "topics": [
        "PbPmanipulation"
      ]
    },
    {
      "page": "plot.assistnet",
      "title": "Plots a network from a 'assistnet' object",
      "topics": [
        "plot.assistnet"
      ]
    },
    {
      "page": "plot.corranalysis",
      "title": "Plots the correlation matrix and the correlation network from a 'corranalysis' object",
      "topics": [
        "plot.corranalysis"
      ]
    },
    {
      "page": "plot.fourfactors",
      "title": "Plot possessions, pace, offensive and defensive rating, and Four Factors from a 'fourfactors' object",
      "topics": [
        "plot.fourfactors"
      ]
    },
    {
      "page": "plot.hclustering",
      "title": "Plots hierarchical clustering from a 'hclustering' object",
      "topics": [
        "plot.hclustering"
      ]
    },
    {
      "page": "plot.inequality",
      "title": "Plot Lorenz curve from a 'inequality' object",
      "topics": [
        "plot.inequality"
      ]
    },
    {
      "page": "plot.kclustering",
      "title": "Plot k-means clustering from a 'kclustering' object",
      "topics": [
        "plot.kclustering"
      ]
    },
    {
      "page": "plot.MDSmap",
      "title": "Draws two-dimensional plots for multidimensional scaling (MDS) from a 'MDSmap' object",
      "topics": [
        "plot.MDSmap"
      ]
    },
    {
      "page": "plot.simplereg",
      "title": "Plot simple regression from a 'simplereg' object",
      "topics": [
        "plot.simplereg"
      ]
    },
    {
      "page": "plot.variability",
      "title": "Plots a variability diagram from a 'variability' object",
      "topics": [
        "plot.variability"
      ]
    },
    {
      "page": "radialprofile",
      "title": "Draws radial plots for player profiles",
      "topics": [
        "radialprofile"
      ]
    },
    {
      "page": "scatterplot",
      "title": "Draws a scatter plot or a matrix of scatter plots",
      "topics": [
        "scatterplot"
      ]
    },
    {
      "page": "scoringprob",
      "title": "Plots scoring probability of shots as a function of a given variable",
      "topics": [
        "scoringprob"
      ]
    },
    {
      "page": "shotchart",
      "title": "Plots different kinds of charts based on shot coordinates",
      "topics": [
        "shotchart"
      ]
    },
    {
      "page": "simplereg",
      "title": "Simple linear and nonparametric regression",
      "topics": [
        "simplereg"
      ]
    },
    {
      "page": "Tadd",
      "title": "Tadd dataset - NBA 2017-2018",
      "topics": [
        "Tadd"
      ]
    },
    {
      "page": "Tbox",
      "title": "Teams box scores dataset - NBA 2017-2018",
      "topics": [
        "Tbox"
      ]
    },
    {
      "page": "TOPboxes",
      "title": "Calculate Team, Opponents and Players box scores (Tbox, Obox and Pbox)",
      "topics": [
        "TOPboxes"
      ]
    },
    {
      "page": "variability",
      "title": "Variability analysis",
      "topics": [
        "variability"
      ]
    }
  ],
  "_readme": "https://github.com/sndmrc/basketballanalyzer/raw/HEAD/README.md",
  "_rundeps": [
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