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  "Title": "Streamlining Complex Survey Estimation and Reliability\nAssessment in R",
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    "survey_subset",
    "svyciprop_adjusted",
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    "total",
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    "var_all",
    "var_any",
    "var_case",
    "var_collapse",
    "var_copy",
    "var_cross",
    "var_cut",
    "var_list",
    "var_not"
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      "class": [
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        "survey.design"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "namcs2019sv_df",
      "title": "Selected variables from the National Ambulatory Medical Care Survey (NAMCS) 2019 Public Use File (PUF)",
      "object": "namcs2019sv_df",
      "class": [
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      ],
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        "CSTRATM",
        "PATWT",
        "MDDO",
        "SPECCAT",
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        "AGER",
        "SEX",
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        "PAYPRIV",
        "PAYMCARE",
        "PAYMCAID",
        "PAYWKCMP",
        "PAYOTH",
        "PAYDK",
        "PAYSELF",
        "PAYNOCHG",
        "PRIMCARE",
        "REFER",
        "SENBEFOR",
        "MAJOR",
        "NUMMED",
        "ANYIMAGE",
        "BONEDENS",
        "CATSCAN",
        "ECHOCARD",
        "OTHULTRA",
        "MAMMO",
        "MRI",
        "XRAY",
        "OTHIMAGE",
        "SPECCAT.bad"
      ],
      "rows": 8250,
      "table": true,
      "tojson": true
    },
    {
      "name": "nhis2024a",
      "title": "National Health Interview Survey (NHIS) 2024 Public Use File (PUF)",
      "object": "nhis2024a",
      "class": [
        "survey.design2",
        "survey.design"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "rccsu2018",
      "title": "National Study of Long-Term Care Providers (NSLTCP) Residential Care Community (RCC) Services User (SU) 2018 Public Use File (PUF)",
      "object": "rccsu2018",
      "class": [
        "survey.design2",
        "survey.design"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "uspop2019",
      "title": "US Population in 2019",
      "object": "uspop2019",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
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      "title": "Coerce a surveytable table to a data frame",
      "concept": [
        "print"
      ],
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        "as.data.frame.surveytable_table"
      ]
    },
    {
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      "title": "Create a codebook for the survey",
      "topics": [
        "codebook"
      ]
    },
    {
      "page": "namcs2019sv",
      "title": "Selected variables from the National Ambulatory Medical Care Survey (NAMCS) 2019 Public Use File (PUF)",
      "topics": [
        "namcs2019sv",
        "namcs2019sv_df"
      ]
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    {
      "page": "nhis2024a",
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      "topics": [
        "nhis2024a"
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    },
    {
      "page": "print.surveytable_table",
      "title": "Print surveytable tables",
      "concept": [
        "print"
      ],
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        "print.surveytable_list",
        "print.surveytable_table"
      ]
    },
    {
      "page": "rccsu2018",
      "title": "National Study of Long-Term Care Providers (NSLTCP) Residential Care Community (RCC) Services User (SU) 2018 Public Use File (PUF)",
      "topics": [
        "rccsu2018"
      ]
    },
    {
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      "concept": [
        "print"
      ],
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        "restructure"
      ]
    },
    {
      "page": "set_opts",
      "title": "Set certain options",
      "concept": [
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        "print"
      ],
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        "show_opts"
      ]
    },
    {
      "page": "set_survey",
      "title": "Specify the survey to analyze",
      "concept": [
        "options"
      ],
      "topics": [
        "set_survey"
      ]
    },
    {
      "page": "show_options",
      "title": "Show package options",
      "concept": [
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      ],
      "topics": [
        "show_options"
      ]
    },
    {
      "page": "survey_subset",
      "title": "Subset a survey, while preserving variable labels",
      "topics": [
        "survey_subset"
      ]
    },
    {
      "page": "surveytable-options",
      "title": "Package options",
      "concept": [
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        "surveytable-options"
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    {
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      "title": "Korn and Graubard confidence intervals for proportions, adjusted for degrees of freedom",
      "topics": [
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    },
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      "title": "Tabulate variables",
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        "tab_subset"
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    },
    {
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      "concept": [
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      ]
    },
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      "page": "tab_subset_rate",
      "title": "Calculate rates for subsets",
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      "title": "Total count",
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      "title": "Overall rate",
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      "title": "US Population in 2019",
      "topics": [
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    },
    {
      "page": "var_all",
      "title": "Are all the variables true? (Logical AND)",
      "concept": [
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    {
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      "concept": [
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    },
    {
      "page": "var_case",
      "title": "Convert factor to logical",
      "concept": [
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    },
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      "page": "var_collapse",
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      "concept": [
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    },
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      "page": "var_copy",
      "title": "Copy a variable",
      "concept": [
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      "topics": [
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    {
      "page": "var_cross",
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      "concept": [
        "variables"
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        "var_cross"
      ]
    },
    {
      "page": "var_cut",
      "title": "Convert numeric to factor",
      "concept": [
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      "topics": [
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      ]
    },
    {
      "page": "var_list",
      "title": "List variables in a survey.",
      "topics": [
        "var_list"
      ]
    },
    {
      "page": "var_not",
      "title": "Logical NOT",
      "concept": [
        "variables"
      ],
      "topics": [
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      "filename": "Example-Residential-Care-Community-Services-User-NSLTCP-RCC-SU-report.html",
      "title": "Example: Residential Care Community Services User (NSLTCP RCC SU) report",
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        "Create a survey object",
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        "List variables",
        "Tabulate categorical and logical variables",
        "Entire population",
        "Subsets or interactions",
        "Tabulate numeric variables",
        "Perform statistical hypothesis testing",
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        "Numeric variables",
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        "Calculate rates",
        "Create or modify variables",
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        "gt",
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        "auto",
        "Other packages",
        "Generate unformatted output",
        "Save the tables",
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        "Advanced printing",
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      "created": "2025-11-20 14:04:50",
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