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      "date": "2019-02-11"
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    "ceiling_index",
    "collapse_by",
    "collapse_index",
    "create_series",
    "filter",
    "filter_time",
    "floor_index",
    "get_index_char",
    "get_index_class",
    "get_index_col",
    "get_index_quo",
    "get_index_time_zone",
    "new_tbl_time",
    "parse_period",
    "partition_index",
    "reconstruct",
    "rollify",
    "tbl_time"
  ],
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      "title": "Stock prices for Facebook, Amazon, Netflix and Google from 2013-2016",
      "object": "FANG",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
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        "symbol",
        "date",
        "open",
        "high",
        "low",
        "close",
        "volume",
        "adjusted"
      ],
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      "table": true,
      "tojson": true
    },
    {
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      "title": "Stock prices for Facebook from 2013-2016",
      "object": "FB",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "symbol",
        "date",
        "open",
        "high",
        "low",
        "close",
        "volume",
        "adjusted"
      ],
      "rows": 1008,
      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "as_period",
      "title": "Change 'tbl_time' periodicity",
      "topics": [
        "as_period"
      ]
    },
    {
      "page": "tbl_time",
      "title": "Create 'tbl_time' objects",
      "topics": [
        "as_tbl_time",
        "tbl_time"
      ]
    },
    {
      "page": "ceiling_index",
      "title": "A simple wrapper of 'lubridate::ceiling_date()'",
      "topics": [
        "ceiling_index"
      ]
    },
    {
      "page": "collapse_by",
      "title": "Collapse a tbl_time object by its index",
      "topics": [
        "collapse_by"
      ]
    },
    {
      "page": "collapse_index",
      "title": "Collapse an index vector so that all observations in an interval share the same date",
      "topics": [
        "collapse_index"
      ]
    },
    {
      "page": "create_series",
      "title": "Create a 'tbl_time' object with a sequence of regularly spaced dates",
      "topics": [
        "create_series"
      ]
    },
    {
      "page": "FANG",
      "title": "Stock prices for Facebook, Amazon, Netflix and Google from 2013-2016",
      "topics": [
        "FANG"
      ]
    },
    {
      "page": "FB",
      "title": "Stock prices for Facebook from 2013-2016",
      "topics": [
        "FB"
      ]
    },
    {
      "page": "filter_time",
      "title": "Succinctly filter a 'tbl_time' object by its index",
      "topics": [
        "filter_time",
        "[.tbl_time"
      ]
    },
    {
      "page": "floor_index",
      "title": "A simple wrapper of 'lubridate::floor_date()'",
      "topics": [
        "floor_index"
      ]
    },
    {
      "page": "getters",
      "title": "Getters",
      "topics": [
        "getters",
        "get_index_char",
        "get_index_class",
        "get_index_col",
        "get_index_quo",
        "get_index_time_zone"
      ]
    },
    {
      "page": "new_tbl_time",
      "title": "Create a new tbl_time object",
      "topics": [
        "new_tbl_time"
      ]
    },
    {
      "page": "parse_period",
      "title": "Parse a character period specification",
      "topics": [
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      ]
    },
    {
      "page": "partition_index",
      "title": "Partition an index vector into an integer vector representing groups",
      "topics": [
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      ]
    },
    {
      "page": "posixct_numeric_to_datetime",
      "title": "Converting a posixct numeric time back to a classed datetime",
      "topics": [
        "posixct_numeric_to_datetime"
      ]
    },
    {
      "page": "reconstruct",
      "title": "Reconstruct an S3 class from a template",
      "topics": [
        "reconstruct"
      ]
    },
    {
      "page": "rollify",
      "title": "Create a rolling version of any function",
      "topics": [
        "rollify"
      ]
    },
    {
      "page": "tibbletime",
      "title": "tibbletime: time-aware tibbles",
      "topics": [
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        "tibbletime"
      ]
    }
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