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    "ggally_dot",
    "ggally_dot_and_box",
    "ggally_dot_no_facet",
    "ggally_facetbar",
    "ggally_facetdensity",
    "ggally_facetdensitystrip",
    "ggally_facethist",
    "ggally_na",
    "ggally_naDiag",
    "ggally_nostic_cooksd",
    "ggally_nostic_hat",
    "ggally_nostic_resid",
    "ggally_nostic_se_fit",
    "ggally_nostic_sigma",
    "ggally_nostic_std_resid",
    "ggally_points",
    "ggally_ratio",
    "ggally_rowbar",
    "ggally_smooth",
    "ggally_smooth_lm",
    "ggally_smooth_loess",
    "ggally_statistic",
    "ggally_summarise_by",
    "ggally_table",
    "ggally_tableDiag",
    "ggally_text",
    "ggally_trends",
    "ggbivariate",
    "ggcoef",
    "ggcoef_compare",
    "ggcoef_model",
    "ggcoef_multinom",
    "ggcoef_plot",
    "ggcorr",
    "ggduo",
    "ggfacet",
    "gglegend",
    "ggmatrix",
    "ggmatrix_gtable",
    "ggmatrix_location",
    "ggmatrix_progress",
    "ggnet",
    "ggnet2",
    "ggnetworkmap",
    "ggnostic",
    "ggpairs",
    "ggparcoord",
    "ggscatmat",
    "ggsurv",
    "ggtable",
    "ggts",
    "glyphplot",
    "glyphs",
    "grab_legend",
    "is_character_column",
    "is_ggmatrix",
    "is_horizontal",
    "is.glyphplot",
    "lowertriangle",
    "mapping_color_to_fill",
    "mapping_string",
    "mapping_swap_x_y",
    "max1",
    "mean0",
    "min0",
    "model_beta_label",
    "model_beta_variables",
    "model_response_variables",
    "print_if_interactive",
    "putPlot",
    "range01",
    "remove_color_unless_equal",
    "rescale01",
    "rescale11",
    "scatmat",
    "signif_stars",
    "stat_cross",
    "stat_ggally_count",
    "stat_prop",
    "stat_weighted_mean",
    "StatCross",
    "StatGGallyCount",
    "StatProp",
    "StatWeightedMean",
    "uppertriangle",
    "v1_ggmatrix_theme",
    "vig_ggally",
    "weighted_mean_sd",
    "weighted_median_iqr",
    "wrap",
    "wrap_fn_with_param_arg",
    "wrap_fn_with_params",
    "wrapp"
  ],
  "_datasets": [
    {
      "name": "australia_PISA2012",
      "title": "Programme for International Student Assessment (PISA) 2012 Data for Australia",
      "object": "australia_PISA2012",
      "class": [
        "data.frame"
      ],
      "fields": [
        "gender",
        "age",
        "homework",
        "desk",
        "room",
        "study",
        "computer",
        "software",
        "internet",
        "literature",
        "poetry",
        "art",
        "textbook",
        "dictionary",
        "dishwasher",
        "PV1MATH",
        "PV2MATH",
        "PV3MATH",
        "PV4MATH",
        "PV5MATH",
        "PV1READ",
        "PV2READ",
        "PV3READ",
        "PV4READ",
        "PV5READ",
        "PV1SCIE",
        "PV2SCIE",
        "PV3SCIE",
        "PV4SCIE",
        "PV5SCIE",
        "SENWGT_STU",
        "possessions"
      ],
      "rows": 8247,
      "table": true,
      "tojson": true
    },
    {
      "name": "baseball",
      "title": "Yearly batting records for all major league baseball players",
      "object": "baseball",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "year",
        "stint",
        "team",
        "lg",
        "g",
        "ab",
        "r",
        "h",
        "X2b",
        "X3b",
        "hr",
        "rbi",
        "sb",
        "cs",
        "bb",
        "so",
        "ibb",
        "hbp",
        "sh",
        "sf",
        "gidp"
      ],
      "rows": 21699,
      "table": true,
      "tojson": true
    },
    {
      "name": "flea",
      "title": "Historical data used for classification examples.",
      "object": "flea",
      "class": [
        "data.frame"
      ],
      "fields": [
        "species",
        "tars1",
        "tars2",
        "head",
        "aede1",
        "aede2",
        "aede3"
      ],
      "rows": 74,
      "table": true,
      "tojson": true
    },
    {
      "name": "happy",
      "title": "Data related to happiness from the General Social Survey, 1972-2006.",
      "object": "happy",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "happy",
        "year",
        "age",
        "sex",
        "marital",
        "degree",
        "finrela",
        "health",
        "wtssall"
      ],
      "rows": 51020,
      "table": true,
      "tojson": true
    },
    {
      "name": "nasa",
      "title": "Data from the Data Expo JSM 2006.",
      "object": "nasa",
      "class": [
        "data.frame"
      ],
      "fields": [
        "time",
        "y",
        "x",
        "lat",
        "long",
        "date",
        "cloudhigh",
        "cloudlow",
        "cloudmid",
        "ozone",
        "pressure",
        "surftemp",
        "temperature",
        "id",
        "day",
        "month",
        "year"
      ],
      "rows": 41472,
      "table": true,
      "tojson": true
    },
    {
      "name": "nba_ppg_2008",
      "title": "NBA Player Statistics for 2008-2009 Season",
      "object": "nba_ppg_2008",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Name",
        "G",
        "MIN",
        "PTS",
        "FGM",
        "FGA",
        "FGP",
        "FTM",
        "FTA",
        "FTP",
        "X3PM",
        "X3PA",
        "X3PP",
        "ORB",
        "DRB",
        "TRB",
        "AST",
        "STL",
        "BLK",
        "TO",
        "PF"
      ],
      "rows": 50,
      "table": true,
      "tojson": true
    },
    {
      "name": "pigs",
      "title": "United Kingdom Pig Production",
      "object": "pigs",
      "class": [
        "data.frame"
      ],
      "fields": [
        "time",
        "year",
        "quarter",
        "gilts",
        "profit",
        "s_per_herdsz",
        "production",
        "herdsz"
      ],
      "rows": 48,
      "table": true,
      "tojson": true
    },
    {
      "name": "psychademic",
      "title": "UCLA canonical correlation analysis data",
      "object": "psychademic",
      "class": [
        "data.frame"
      ],
      "fields": [
        "locus_of_control",
        "self_concept",
        "motivation",
        "read",
        "write",
        "math",
        "science",
        "sex"
      ],
      "rows": 600,
      "table": true,
      "tojson": true
    },
    {
      "name": "tips",
      "title": "Tipping data",
      "object": "tips",
      "class": [
        "data.frame"
      ],
      "fields": [
        "total_bill",
        "tip",
        "sex",
        "smoker",
        "day",
        "time",
        "size"
      ],
      "rows": 244,
      "table": true,
      "tojson": true
    },
    {
      "name": "twitter_spambots",
      "title": "Twitter spambots",
      "object": "twitter_spambots",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "add_ref_boxes",
      "title": "Add reference boxes around each cell of the glyphmap.",
      "topics": [
        "add_ref_boxes"
      ]
    },
    {
      "page": "add_ref_lines",
      "title": "Add reference lines for each cell of the glyphmap.",
      "topics": [
        "add_ref_lines"
      ]
    },
    {
      "page": "add_to_ggmatrix",
      "title": "Modify a 'ggmatrix' object by adding an 'ggplot2' object to all plots",
      "topics": [
        "add_to_ggmatrix"
      ]
    },
    {
      "page": "australia_PISA2012",
      "title": "Programme for International Student Assessment (PISA) 2012 Data for Australia",
      "topics": [
        "australia_PISA2012"
      ]
    },
    {
      "page": "baseball",
      "title": "Yearly batting records for all major league baseball players",
      "topics": [
        "baseball"
      ]
    },
    {
      "page": "brew_colors",
      "title": "RColorBrewer Set1 colors",
      "topics": [
        "brew_colors"
      ]
    },
    {
      "page": "broomify",
      "title": "Broomify a model",
      "topics": [
        "broomify"
      ]
    },
    {
      "page": "eval_data_col",
      "title": "Evaluate data column",
      "topics": [
        "eval_data_col"
      ]
    },
    {
      "page": "flea",
      "title": "Historical data used for classification examples.",
      "topics": [
        "flea"
      ]
    },
    {
      "page": "fn_switch",
      "title": "Function switch",
      "topics": [
        "fn_switch"
      ]
    },
    {
      "page": "getPlot",
      "title": "Subset a 'ggmatrix' object",
      "topics": [
        "getPlot",
        "[.ggmatrix"
      ]
    },
    {
      "page": "ggally_autopoint",
      "title": "Scatterplot for continuous and categorical variables",
      "topics": [
        "ggally_autopoint",
        "ggally_autopointDiag"
      ]
    },
    {
      "page": "ggally_barDiag",
      "title": "Bar plot",
      "topics": [
        "ggally_barDiag"
      ]
    },
    {
      "page": "ggally_blank",
      "title": "Blank plot",
      "topics": [
        "ggally_blank",
        "ggally_blankDiag"
      ]
    },
    {
      "page": "ggally_box",
      "title": "Box plot",
      "topics": [
        "ggally_box",
        "ggally_box_no_facet"
      ]
    },
    {
      "page": "ggally_colbar",
      "title": "Column and row bar plots",
      "topics": [
        "ggally_colbar",
        "ggally_rowbar"
      ]
    },
    {
      "page": "ggally_cor",
      "title": "Correlation value plot",
      "topics": [
        "ggally_cor"
      ]
    },
    {
      "page": "ggally_count",
      "title": "Display counts of observations",
      "topics": [
        "ggally_count",
        "ggally_countDiag",
        "StatGGallyCount",
        "stat_ggally_count"
      ]
    },
    {
      "page": "ggally_cross",
      "title": "Plots the number of observations",
      "topics": [
        "ggally_cross"
      ]
    },
    {
      "page": "ggally_crosstable",
      "title": "Display a cross-tabulated table",
      "topics": [
        "ggally_crosstable"
      ]
    },
    {
      "page": "ggally_density",
      "title": "Bivariate density plot",
      "topics": [
        "ggally_density"
      ]
    },
    {
      "page": "ggally_densityDiag",
      "title": "Univariate density plot",
      "topics": [
        "ggally_densityDiag"
      ]
    },
    {
      "page": "ggally_denstrip",
      "title": "Tile plot with facets",
      "topics": [
        "ggally_denstrip"
      ]
    },
    {
      "page": "ggally_diagAxis",
      "title": "Internal axis labels for ggpairs",
      "topics": [
        "ggally_diagAxis"
      ]
    },
    {
      "page": "ggally_dot",
      "title": "Grouped dot plot",
      "topics": [
        "ggally_dot",
        "ggally_dot_no_facet"
      ]
    },
    {
      "page": "ggally_facetbar",
      "title": "Faceted bar plot",
      "topics": [
        "ggally_facetbar"
      ]
    },
    {
      "page": "ggally_facetdensity",
      "title": "Faceted density plot",
      "topics": [
        "ggally_facetdensity"
      ]
    },
    {
      "page": "ggally_facetdensitystrip",
      "title": "Density or tiles plot with facets",
      "topics": [
        "ggally_facetdensitystrip"
      ]
    },
    {
      "page": "ggally_facethist",
      "title": "Faceted histogram",
      "topics": [
        "ggally_facethist"
      ]
    },
    {
      "page": "ggally_na",
      "title": "NA plot",
      "topics": [
        "ggally_na",
        "ggally_naDiag"
      ]
    },
    {
      "page": "ggally_nostic_cooksd",
      "title": "'ggnostic' Cook's distance",
      "topics": [
        "ggally_nostic_cooksd"
      ]
    },
    {
      "page": "ggally_nostic_hat",
      "title": "'ggnostic' leverage points",
      "topics": [
        "ggally_nostic_hat"
      ]
    },
    {
      "page": "ggally_nostic_line",
      "title": "'ggnostic' background line with geom",
      "topics": [
        "ggally_nostic_line"
      ]
    },
    {
      "page": "ggally_nostic_resid",
      "title": "'ggnostic' residuals",
      "topics": [
        "ggally_nostic_resid"
      ]
    },
    {
      "page": "ggally_nostic_se_fit",
      "title": "'ggnostic' fitted value's standard error",
      "topics": [
        "ggally_nostic_se_fit"
      ]
    },
    {
      "page": "ggally_nostic_sigma",
      "title": "'ggnostic' leave one out model sigma",
      "topics": [
        "ggally_nostic_sigma"
      ]
    },
    {
      "page": "ggally_nostic_std_resid",
      "title": "'ggnostic' standardized residuals",
      "topics": [
        "ggally_nostic_std_resid"
      ]
    },
    {
      "page": "ggally_points",
      "title": "Scatter plot",
      "topics": [
        "ggally_points"
      ]
    },
    {
      "page": "ggally_ratio",
      "title": "Mosaic plot",
      "topics": [
        "ggally_ratio"
      ]
    },
    {
      "page": "ggally_smooth",
      "title": "Scatter plot with a smoothed line",
      "topics": [
        "ggally_smooth",
        "ggally_smooth_lm",
        "ggally_smooth_loess"
      ]
    },
    {
      "page": "ggally_statistic",
      "title": "Generalized text display",
      "topics": [
        "ggally_statistic"
      ]
    },
    {
      "page": "ggally_summarise_by",
      "title": "Summarize a continuous variable by each value of a discrete variable",
      "topics": [
        "ggally_summarise_by",
        "weighted_mean_sd",
        "weighted_median_iqr"
      ]
    },
    {
      "page": "ggally_table",
      "title": "Display a table of the number of observations",
      "topics": [
        "ggally_table",
        "ggally_tableDiag"
      ]
    },
    {
      "page": "ggally_text",
      "title": "Text plot",
      "topics": [
        "ggally_text"
      ]
    },
    {
      "page": "ggally_trends",
      "title": "Trends line plot",
      "topics": [
        "ggally_trends"
      ]
    },
    {
      "page": "ggbivariate",
      "title": "Display an outcome using several potential explanatory variables",
      "topics": [
        "ggbivariate"
      ]
    },
    {
      "page": "ggcoef",
      "title": "Model coefficients with 'broom' and 'ggplot2'",
      "topics": [
        "ggcoef"
      ]
    },
    {
      "page": "ggcorr",
      "title": "Correlation matrix",
      "topics": [
        "ggcorr"
      ]
    },
    {
      "page": "ggduo",
      "title": "'ggplot2' generalized pairs plot for two columns sets of data",
      "topics": [
        "ggduo"
      ]
    },
    {
      "page": "ggfacet",
      "title": "Single 'ggplot2' plot matrix with 'facet_grid'",
      "topics": [
        "ggfacet"
      ]
    },
    {
      "page": "gglegend",
      "title": "Plot only legend of plot function",
      "topics": [
        "gglegend"
      ]
    },
    {
      "page": "ggmatrix",
      "title": "'ggplot2' plot matrix",
      "topics": [
        "ggmatrix"
      ]
    },
    {
      "page": "ggmatrix_gtable",
      "title": "'ggmatrix' 'gtable' object",
      "topics": [
        "ggmatrix_gtable"
      ]
    },
    {
      "page": "ggmatrix_location",
      "title": "'ggmatrix' plot locations",
      "topics": [
        "ggmatrix_location"
      ]
    },
    {
      "page": "ggmatrix_progress",
      "title": "'ggmatrix' default progress bar",
      "topics": [
        "ggmatrix_progress"
      ]
    },
    {
      "page": "ggnet2",
      "title": "Network plot",
      "topics": [
        "ggnet2"
      ]
    },
    {
      "page": "ggnetworkmap",
      "title": "Network plot map overlay",
      "topics": [
        "ggnetworkmap"
      ]
    },
    {
      "page": "ggnostic",
      "title": "Plot matrix of statistical model diagnostics",
      "topics": [
        "ggnostic"
      ]
    },
    {
      "page": "ggpairs",
      "title": "ggplot2 generalized pairs plot",
      "topics": [
        "ggpairs"
      ]
    },
    {
      "page": "ggparcoord",
      "title": "Parallel coordinate plot",
      "topics": [
        "ggparcoord"
      ]
    },
    {
      "page": "ggscatmat",
      "title": "Traditional scatterplot matrix for purely quantitative variables",
      "topics": [
        "ggscatmat"
      ]
    },
    {
      "page": "ggsurv",
      "title": "Survival curves",
      "topics": [
        "ggsurv"
      ]
    },
    {
      "page": "ggtable",
      "title": "Cross-tabulated tables of discrete variables",
      "topics": [
        "ggtable"
      ]
    },
    {
      "page": "ggts",
      "title": "Multiple time series",
      "topics": [
        "ggts"
      ]
    },
    {
      "page": "glyphplot",
      "title": "Glyph plot class",
      "topics": [
        "glyphplot",
        "is.glyphplot",
        "print.glyphplot",
        "[.glyphplot"
      ]
    },
    {
      "page": "glyphs",
      "title": "Create 'glyphplot' data",
      "topics": [
        "glyphs"
      ]
    },
    {
      "page": "grab_legend",
      "title": "Grab the legend and print it as a plot",
      "topics": [
        "grab_legend",
        "print.legend_guide_box"
      ]
    },
    {
      "page": "happy",
      "title": "Data related to happiness from the General Social Survey, 1972-2006.",
      "topics": [
        "happy"
      ]
    },
    {
      "page": "is_ggmatrix",
      "title": "Check if an object is a ggmatrix",
      "topics": [
        "is_ggmatrix"
      ]
    },
    {
      "page": "is_horizontal",
      "title": "Check if plot is horizontal",
      "topics": [
        "is_character_column",
        "is_horizontal"
      ]
    },
    {
      "page": "lowertriangle",
      "title": "lowertriangle - rearrange dataset as the preparation of 'ggscatmat' function",
      "topics": [
        "lowertriangle"
      ]
    },
    {
      "page": "mapping_color_to_fill",
      "title": "Aesthetic mapping color fill",
      "topics": [
        "mapping_color_to_fill"
      ]
    },
    {
      "page": "mapping_string",
      "title": "Aes name",
      "topics": [
        "mapping_string"
      ]
    },
    {
      "page": "mapping_swap_x_y",
      "title": "Swap x and y mapping",
      "topics": [
        "mapping_swap_x_y"
      ]
    },
    {
      "page": "model_terms",
      "title": "Model term names",
      "topics": [
        "model_beta_label",
        "model_beta_variables",
        "model_response_variables"
      ]
    },
    {
      "page": "nasa",
      "title": "Data from the Data Expo JSM 2006.",
      "topics": [
        "nasa"
      ]
    },
    {
      "page": "nba_ppg_2008",
      "title": "NBA Player Statistics for 2008-2009 Season",
      "topics": [
        "nba_ppg_2008"
      ]
    },
    {
      "page": "pigs",
      "title": "United Kingdom Pig Production",
      "topics": [
        "pigs"
      ]
    },
    {
      "page": "print_if_interactive",
      "title": "Print if not CRAN",
      "topics": [
        "print_if_interactive"
      ]
    },
    {
      "page": "print.ggmatrix",
      "title": "Print 'ggmatrix' object",
      "topics": [
        "print.ggmatrix"
      ]
    },
    {
      "page": "psychademic",
      "title": "UCLA canonical correlation analysis data",
      "topics": [
        "psychademic"
      ]
    },
    {
      "page": "putPlot",
      "title": "Insert a plot into a 'ggmatrix' object",
      "topics": [
        "putPlot",
        "[<-.ggmatrix"
      ]
    },
    {
      "page": "remove_color_unless_equal",
      "title": "Remove colour mapping unless found in select mapping keys",
      "topics": [
        "remove_color_unless_equal"
      ]
    },
    {
      "page": "rescale01",
      "title": "Rescaling functions",
      "topics": [
        "max1",
        "mean0",
        "min0",
        "range01",
        "rescale01",
        "rescale11"
      ]
    },
    {
      "page": "scag_order",
      "title": "Find order of variables",
      "topics": [
        "scag_order"
      ]
    },
    {
      "page": "scatmat",
      "title": "Plots the lowertriangle and density plots of the scatter plot matrix.",
      "topics": [
        "scatmat"
      ]
    },
    {
      "page": "singleClassOrder",
      "title": "Order axis variables",
      "topics": [
        "singleClassOrder"
      ]
    },
    {
      "page": "skewness",
      "title": "Sample skewness",
      "topics": [
        "skewness"
      ]
    },
    {
      "page": "str.ggmatrix",
      "title": "'ggmatrix' structure",
      "topics": [
        "str.ggmatrix"
      ]
    },
    {
      "page": "tips",
      "title": "Tipping data",
      "topics": [
        "tips"
      ]
    },
    {
      "page": "twitter_spambots",
      "title": "Twitter spambots",
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