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    "scree",
    "see",
    "showColors",
    "showPalettes",
    "simCImean",
    "simCLT",
    "simFlips",
    "simMeans",
    "skew",
    "sp",
    "ss",
    "ss_brief",
    "STL",
    "style",
    "Subset",
    "SummaryStats",
    "to",
    "train_test",
    "Transform",
    "tt",
    "tt_brief",
    "ttest",
    "ttestPower",
    "ttp",
    "values",
    "VariableLabels",
    "ViolinPlot",
    "vl",
    "vp",
    "Write",
    "wrt",
    "wrt_r",
    "wrt_x",
    "X",
    "xAnd",
    "xNum",
    "xP",
    "xRow",
    "xU",
    "xW",
    "XY"
  ],
  "_datasets": [
    {
      "name": "dataAnova_1way",
      "title": "Data for a One-Way ANOVA",
      "object": "dataAnova_1way",
      "file": "dataAnova_1way.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Dosage",
        "Time"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataAnova_2way",
      "title": "Data for a Two-Way Balanced Factorial Design",
      "object": "dataAnova_2way",
      "file": "dataAnova_2way.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Difficulty",
        "Dosage",
        "Time"
      ],
      "rows": 48,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataAnova_rb",
      "title": "Data for a Randomized Block ANOVA",
      "object": "dataAnova_rb",
      "file": "dataAnova_rb.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Person",
        "sup1",
        "sup2",
        "sup3",
        "sup4"
      ],
      "rows": 7,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataAnova_rbf",
      "title": "Data for a Randomized Block Factorial ANOVA",
      "object": "dataAnova_rbf",
      "file": "dataAnova_rbf.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Difficulty",
        "Dosage",
        "Block",
        "Time"
      ],
      "rows": 48,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataAnova_sp",
      "title": "Data for a Split-Plot ANOVA",
      "object": "dataAnova_sp",
      "file": "dataAnova_sp.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Person",
        "Food",
        "Supplement",
        "Reps"
      ],
      "rows": 56,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataBodyMeas",
      "title": "Data: Body Measurements",
      "object": "dataBodyMeas",
      "file": "dataBodyMeas.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Gender",
        "Weight",
        "Height",
        "Waist",
        "Hips",
        "Chest",
        "Hand",
        "Shoe"
      ],
      "rows": 340,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataCars93",
      "title": "Data: Cars93",
      "object": "dataCars93",
      "file": "dataCars93.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Make",
        "Type",
        "MinPrice",
        "MidPrice",
        "MaxPrice",
        "MPGcity",
        "MPGhiway",
        "Airbags",
        "DriveTrain",
        "Cylinders",
        "Engine",
        "HP",
        "RPM",
        "RevMile",
        "Manual",
        "FuelCap",
        "PassCap",
        "Length",
        "Wheelbase",
        "Width",
        "Uturn",
        "RearSeat",
        "LugCap",
        "Weight",
        "Source"
      ],
      "rows": 93,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataEmployee",
      "title": "Data: Employees",
      "object": "dataEmployee",
      "file": "dataEmployee.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Years",
        "Gender",
        "Dept",
        "Salary",
        "JobSat",
        "Plan",
        "Pre",
        "Post"
      ],
      "rows": 37,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataEmployee_lbl",
      "title": "VariableLabels: Employee Data Set",
      "object": "dataEmployee_lbl",
      "file": "dataEmployee_lbl.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "label"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataFreqTable99",
      "title": "Data: Joint Frequency Table",
      "object": "dataFreqTable99",
      "file": "dataFreqTable99.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataJackets",
      "title": "Data: Motorcycle Type and Thickness of Jacket",
      "object": "dataJackets",
      "file": "dataJackets.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Bike",
        "Jacket"
      ],
      "rows": 1025,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataLearn",
      "title": "Data: Distributed vs Massed Practice",
      "object": "dataLearn",
      "file": "dataLearn.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "StudyType",
        "Score"
      ],
      "rows": 34,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataMach4",
      "title": "Data: Machiavellianism",
      "object": "dataMach4",
      "file": "dataMach4.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Gender",
        "m01",
        "m02",
        "m03",
        "m04",
        "m05",
        "m06",
        "m07",
        "m08",
        "m09",
        "m10",
        "m11",
        "m12",
        "m13",
        "m14",
        "m15",
        "m16",
        "m17",
        "m18",
        "m19",
        "m20"
      ],
      "rows": 351,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataMach4_lbl",
      "title": "VariableLabels: Mach4 Data Set",
      "object": "dataMach4_lbl",
      "file": "dataMach4_lbl.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "label"
      ],
      "rows": 20,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataReading",
      "title": "Data: Reading Ability",
      "object": "dataReading",
      "file": "dataReading.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Reading",
        "Verbal",
        "Absent",
        "Income"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataStockPrice",
      "title": "Data: Stock price of Apple, IBM and Intel from 1985 through May of 2024",
      "object": "dataStockPrice",
      "file": "dataStockPrice.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Month",
        "Company",
        "Price",
        "Volume"
      ],
      "rows": 1488,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataWeightLoss",
      "title": "Data: WeightLoss",
      "object": "dataWeightLoss",
      "file": "dataWeightLoss.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Before",
        "After"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "extractData",
      "title": "Function . for Selecting Rows/Columns with base R Extract",
      "topics": [
        "."
      ]
    },
    {
      "page": "ANOVA",
      "title": "Analysis of Variance",
      "topics": [
        "ANOVA",
        "av",
        "av_brief"
      ]
    },
    {
      "page": "Chart",
      "title": "Charts for One or Two Categorical Variables",
      "topics": [
        "BarChart",
        "Chart",
        "pc",
        "PieChart"
      ]
    },
    {
      "page": "corCFA",
      "title": "Confirmatory Factor Analysis of a Multiple Indicator Measurement Model",
      "topics": [
        "cfa",
        "corCFA",
        "scales"
      ]
    },
    {
      "page": "corEFA",
      "title": "Exploratory Factor Analysis and Multiple Indicator Measurement Model",
      "topics": [
        "corEFA",
        "efa"
      ]
    },
    {
      "page": "corPrint",
      "title": "Print a Correlation Matrix with Special Formatting",
      "topics": [
        "corPrint"
      ]
    },
    {
      "page": "corProp",
      "title": "Proportionality Coefficients from Correlations",
      "topics": [
        "corProp",
        "cp"
      ]
    },
    {
      "page": "corRead",
      "title": "Read Specified Correlation Matrix",
      "topics": [
        "corRead",
        "rd.cor"
      ]
    },
    {
      "page": "corReflect",
      "title": "Reflect Specified Variables in a Correlation Matrix",
      "topics": [
        "corReflect",
        "reflect"
      ]
    },
    {
      "page": "Correlation",
      "title": "Correlation Analysis",
      "topics": [
        "Correlation",
        "cr",
        "cr_brief"
      ]
    },
    {
      "page": "corReorder",
      "title": "Reorder Variables in a Correlation Matrix",
      "topics": [
        "corReorder",
        "reord"
      ]
    },
    {
      "page": "corScree",
      "title": "Eigenvalue Plot of a Correlation Matrix",
      "topics": [
        "corScree",
        "scree"
      ]
    },
    {
      "page": "CountAll",
      "title": "CountAll Descriptive Analysis of all Variables in the Data Frame",
      "topics": [
        "ca",
        "CountAll"
      ]
    },
    {
      "page": "dataAnova_1way",
      "title": "Data for a One-Way ANOVA",
      "topics": [
        "dataAnova_1way"
      ]
    },
    {
      "page": "dataAnova_2way",
      "title": "Data for a Two-Way Balanced Factorial Design",
      "topics": [
        "dataAnova_2way"
      ]
    },
    {
      "page": "dataAnova_rb",
      "title": "Data for a Randomized Block ANOVA",
      "topics": [
        "dataAnova_rb"
      ]
    },
    {
      "page": "dataAnova_rbf",
      "title": "Data for a Randomized Block Factorial ANOVA",
      "topics": [
        "dataAnova_rbf"
      ]
    },
    {
      "page": "dataAnova_sp",
      "title": "Data for a Split-Plot ANOVA",
      "topics": [
        "dataAnova_sp"
      ]
    },
    {
      "page": "dataBodyMeas",
      "title": "Data: Body Measurements",
      "topics": [
        "dataBodyMeas"
      ]
    },
    {
      "page": "dataCars93",
      "title": "Data: Cars93",
      "topics": [
        "dataCars93"
      ]
    },
    {
      "page": "dataEmployee",
      "title": "Data: Employees",
      "topics": [
        "dataEmployee"
      ]
    },
    {
      "page": "dataEmployee_lbl",
      "title": "VariableLabels: Employee Data Set",
      "topics": [
        "dataEmployee_lbl"
      ]
    },
    {
      "page": "dataFreqTable99",
      "title": "Data: Joint Frequency Table",
      "topics": [
        "dataFreqTable99"
      ]
    },
    {
      "page": "dataJackets",
      "title": "Data: Motorcycle Type and Thickness of Jacket",
      "topics": [
        "dataJackets"
      ]
    },
    {
      "page": "dataLearn",
      "title": "Data: Distributed vs Massed Practice",
      "topics": [
        "dataLearn"
      ]
    },
    {
      "page": "dataMach4",
      "title": "Data: Machiavellianism",
      "topics": [
        "dataMach4"
      ]
    },
    {
      "page": "dataMach4_lbl",
      "title": "VariableLabels: Mach4 Data Set",
      "topics": [
        "dataMach4_lbl"
      ]
    },
    {
      "page": "dataReading",
      "title": "Data: Reading Ability",
      "topics": [
        "dataReading"
      ]
    },
    {
      "page": "dataStockPrice",
      "title": "Data: Stock price of Apple, IBM and Intel from 1985 through May of 2024",
      "topics": [
        "dataStockPrice"
      ]
    },
    {
      "page": "dataWeightLoss",
      "title": "Data: WeightLoss",
      "topics": [
        "dataWeightLoss"
      ]
    },
    {
      "page": "details",
      "title": "Display Contents of a Data File and Optional Variable Labels",
      "topics": [
        "db",
        "details"
      ]
    },
    {
      "page": "factors",
      "title": "Create Factor Variables Across a Sequential Range or Vector of Variables",
      "topics": [
        "factors"
      ]
    },
    {
      "page": "Flows",
      "title": "Sankey Flow Diagram (2- or 3-Stage) with Plotly",
      "topics": [
        "Flows"
      ]
    },
    {
      "page": "getColors",
      "title": "Hue, Chroma, Luminance (HCL) Color Wheel or Specified Colors",
      "topics": [
        "getColors"
      ]
    },
    {
      "page": "interact",
      "title": "Run Interactive Shiny Data Visualizations",
      "topics": [
        "interact"
      ]
    },
    {
      "page": "kurtosis",
      "title": "Kurtosis",
      "topics": [
        "kurtosis"
      ]
    },
    {
      "page": "label",
      "title": "Assign Variable Labels [Superseded by VariableLabels]",
      "topics": [
        "label"
      ]
    },
    {
      "page": "Logit",
      "title": "Logit Regression Analysis",
      "topics": [
        "Logit",
        "lr"
      ]
    },
    {
      "page": "Merge",
      "title": "Merge Two Data Frames Horizontally or Vertically",
      "topics": [
        "Merge",
        "mrg"
      ]
    },
    {
      "page": "Model",
      "title": "Regression Analysis, ANOVA or t-test",
      "topics": [
        "Model",
        "model",
        "model_brief"
      ]
    },
    {
      "page": "Nest",
      "title": "Nest the Values of an Integer or Factor Variable",
      "topics": [
        "Nest",
        "nt"
      ]
    },
    {
      "page": "order_by",
      "title": "order_by the Rows of a Data Frame",
      "topics": [
        "order_by"
      ]
    },
    {
      "page": "pivot",
      "title": "Create a Pivot (Summary) Table",
      "topics": [
        "pivot"
      ]
    },
    {
      "page": "print_out",
      "title": "Display a Portion of Output from a Saved List Object",
      "topics": [
        "print.out"
      ]
    },
    {
      "page": "print_outall",
      "title": "Display All Text Output from a Saved List Object",
      "topics": [
        "print.out_all"
      ]
    },
    {
      "page": "prob_norm",
      "title": "Compute and Plot Normal Curve Probabilities over an Interval",
      "topics": [
        "prob_norm"
      ]
    },
    {
      "page": "prob_tcut",
      "title": "Plot t-distribution Curve and Specified Cutoffs with Normal Curve",
      "topics": [
        "prob_tcut"
      ]
    },
    {
      "page": "prob_znorm",
      "title": "Plot a Normal Curve with Shaded Intervals by Standard Deviation",
      "topics": [
        "prob_znorm"
      ]
    },
    {
      "page": "Prop_test",
      "title": "Analysis of Prop_test",
      "topics": [
        "prop",
        "Prop_test"
      ]
    },
    {
      "page": "Read",
      "title": "Read Contents of a Data File with Optional Variable Labels and Feedback",
      "topics": [
        "rd",
        "rd_lbl",
        "Read",
        "Read2"
      ]
    },
    {
      "page": "recode",
      "title": "Recode the Values of an Integer or Factor Variable",
      "topics": [
        "recode"
      ]
    },
    {
      "page": "regPlot",
      "title": "regPlot Analysis",
      "topics": [
        "regPlot"
      ]
    },
    {
      "page": "Regression",
      "title": "Regression Analysis",
      "topics": [
        "reg",
        "Regression",
        "reg_brief"
      ]
    },
    {
      "page": "rename",
      "title": "Rename One or More Variables in a Data Frame",
      "topics": [
        "rename"
      ]
    },
    {
      "page": "rescale",
      "title": "Rescale a Variable",
      "topics": [
        "rescale"
      ]
    },
    {
      "page": "reshape_long",
      "title": "Reshape a Wide-Form Data Frame to Long-Form",
      "topics": [
        "reshape_long"
      ]
    },
    {
      "page": "reshape_wide",
      "title": "Reshape a Long-Form Data Frame to Wide-Form",
      "topics": [
        "reshape_wide"
      ]
    },
    {
      "page": "savePlotly",
      "title": "Save the last Plotly chart to a standalone HTML file",
      "topics": [
        "savePlotly"
      ]
    },
    {
      "page": "see",
      "title": "View the Upper and Left Corners of a Data Frame",
      "topics": [
        "see"
      ]
    },
    {
      "page": "showColors",
      "title": "Display All Named R Colors and Corresponding rgb Values",
      "topics": [
        "showColors"
      ]
    },
    {
      "page": "showPalettes",
      "title": "Display Color Palettes",
      "topics": [
        "showPalettes"
      ]
    },
    {
      "page": "simCImean",
      "title": "Pedagogical Simulation for the Confidence Interval of the Mean",
      "topics": [
        "simCImean"
      ]
    },
    {
      "page": "simCLT",
      "title": "Pedagogical Simulation for the Central Limit Theorem",
      "topics": [
        "simCLT"
      ]
    },
    {
      "page": "simFlips",
      "title": "Pedagogical Binomial Simulation, Coin flips",
      "topics": [
        "simFlips"
      ]
    },
    {
      "page": "simMeans",
      "title": "Pedagogical Simulation of Sample Means over Repeated Samples",
      "topics": [
        "simMeans"
      ]
    },
    {
      "page": "skew",
      "title": "Skew of a variable.",
      "topics": [
        "skew"
      ]
    },
    {
      "page": "STL",
      "title": "Seasonal and Trend Decomposition of a Time Series via Loess",
      "topics": [
        "STL"
      ]
    },
    {
      "page": "style",
      "title": "Set the Default Color Theme and Other System Settings",
      "topics": [
        "style"
      ]
    },
    {
      "page": "Subset",
      "title": "Subset the Values of One or More Variables",
      "topics": [
        "Subset"
      ]
    },
    {
      "page": "SummaryStats",
      "title": "Summary Statistics for One or Two Variables",
      "topics": [
        "ss",
        "ss_brief",
        "SummaryStats"
      ]
    },
    {
      "page": "to",
      "title": "Create a Sequence of Numbered Variable Names with a Common Prefix and Width",
      "topics": [
        "to"
      ]
    },
    {
      "page": "train_test",
      "title": "Create Training and Testing Data",
      "topics": [
        "train_test"
      ]
    },
    {
      "page": "Transform",
      "title": "Deprecated: Transform the Values of an Integer or Factor Variable",
      "topics": [
        "Transform"
      ]
    },
    {
      "page": "ttest",
      "title": "Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics",
      "topics": [
        "tt",
        "ttest",
        "tt_brief"
      ]
    },
    {
      "page": "ttestPower",
      "title": "Compute a Power Curve for a One or Two Group t-test",
      "topics": [
        "ttestPower",
        "ttp"
      ]
    },
    {
      "page": "values",
      "title": "List the Values of a Variable",
      "topics": [
        "values"
      ]
    },
    {
      "page": "VariableLabels",
      "title": "Create or Display Variable Labels",
      "topics": [
        "VariableLabels",
        "vl"
      ]
    },
    {
      "page": "Write",
      "title": "Write the Contents of a Data Frame to an External File",
      "topics": [
        "Write",
        "wrt",
        "wrt_r",
        "wrt_x"
      ]
    },
    {
      "page": "X",
      "title": "Univariate and Grouped Displays for a Continuous Variable",
      "topics": [
        "BoxPlot",
        "bx",
        "Density",
        "Histogram",
        "hs",
        "ViolinPlot",
        "vp",
        "X"
      ]
    },
    {
      "page": "xAnd",
      "title": "Text Processing: Insert and Into a List",
      "topics": [
        "xAnd"
      ]
    },
    {
      "page": "xNum",
      "title": "Text Processing: Convert a Number to a Word",
      "topics": [
        "xNum"
      ]
    },
    {
      "page": "xP",
      "title": "Text Processing: Print Formatted Numbers",
      "topics": [
        "xP"
      ]
    },
    {
      "page": "xRow",
      "title": "Text Processing: Add the Word Row to Case Labels that Could be Numeric",
      "topics": [
        "xRow"
      ]
    },
    {
      "page": "xU",
      "title": "Text Processing: Capitalize First Letter of a Word",
      "topics": [
        "xU"
      ]
    },
    {
      "page": "xW",
      "title": "Text Processing: Wrap Words to Create New Lines From a Specified Line",
      "topics": [
        "xW"
      ]
    },
    {
      "page": "XY",
      "title": "Scatterplots including Time Series",
      "topics": [
        "Plot",
        "ScatterPlot",
        "sp",
        "XY"
      ]
    }
  ],
  "_rundeps": [
    "askpass",
    "base64enc",
    "bslib",
    "cachem",
    "cli",
    "colorspace",
    "commonmark",
    "conflicted",
    "cpp11",
    "crosstalk",
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