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  "Description": "Utilities for mixed frequency data. In particular, use to\naggregate and normalize tabular mixed frequency data, index\ndates to end of period, and seasonally adjust tabular data.",
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      "name": "fred",
      "title": "Sample mixed frequency data from FRED",
      "object": "fred",
      "class": [
        "data.table",
        "data.frame"
      ],
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        "series_name",
        "ref_date",
        "value",
        "country",
        "pub_date",
        "pub_lag"
      ],
      "rows": 6728,
      "table": true,
      "tojson": true
    },
    {
      "name": "fredlib",
      "title": "Library of metadata for mixed frequency dataset 'fred'",
      "object": "library",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "country",
        "series_name",
        "needs_SA",
        "frequency",
        "type",
        "unit",
        "source",
        "take_logs",
        "take_diffs"
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      "rows": 4,
      "table": true,
      "tojson": true
    }
  ],
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      "page": "add_forecast_dates",
      "title": "Add NA values to the tail of a wide data.table",
      "topics": [
        "add_forecast_dates"
      ]
    },
    {
      "page": "agg_to_freq",
      "title": "Aggregate long format data.table",
      "topics": [
        "agg_to_freq"
      ]
    },
    {
      "page": "agg_to_freq_wide",
      "title": "Aggregate data.table and return wide format",
      "topics": [
        "agg_to_freq_wide"
      ]
    },
    {
      "page": "all_finite",
      "title": "Rows with only finite values",
      "topics": [
        "all_finite"
      ]
    },
    {
      "page": "allNA",
      "title": "Are all elements `NA`?",
      "topics": [
        "allNA"
      ]
    },
    {
      "page": "any_finite",
      "title": "Rows with finite values",
      "topics": [
        "any_finite"
      ]
    },
    {
      "page": "can_seasonal",
      "title": "Can data be seasonally adjusted?",
      "topics": [
        "can_seasonal"
      ]
    },
    {
      "page": "col_to_list",
      "title": "Convert columns to list",
      "topics": [
        "col_to_list"
      ]
    },
    {
      "page": "comp_form",
      "title": "Companion Form",
      "topics": [
        "comp_form"
      ]
    },
    {
      "page": "count_obs",
      "title": "Count observations",
      "topics": [
        "count_obs"
      ]
    },
    {
      "page": "day",
      "title": "Return the day of a Date value",
      "topics": [
        "day"
      ]
    },
    {
      "page": "Diff",
      "title": "Difference data",
      "topics": [
        "Diff"
      ]
    },
    {
      "page": "end_of_period",
      "title": "End of period date",
      "topics": [
        "end_of_period"
      ]
    },
    {
      "page": "end_of_year",
      "title": "End of Year",
      "topics": [
        "end_of_year"
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    },
    {
      "page": "extract_basic_character",
      "title": "Extract characters",
      "topics": [
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    },
    {
      "page": "extract_character",
      "title": "Extract character values",
      "topics": [
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      ]
    },
    {
      "page": "extract_numeric",
      "title": "Extract numeric values",
      "topics": [
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    },
    {
      "page": "fill_forward",
      "title": "Fill Forward",
      "topics": [
        "fill_forward"
      ]
    },
    {
      "page": "first_of_month",
      "title": "First of month",
      "topics": [
        "first_of_month"
      ]
    },
    {
      "page": "first_of_quarter",
      "title": "First of Quarter",
      "topics": [
        "first_of_quarter"
      ]
    },
    {
      "page": "first_previous_quarter",
      "title": "First of previous quarter date",
      "topics": [
        "first_previous_quarter"
      ]
    },
    {
      "page": "fred",
      "title": "Sample mixed frequency data from FRED",
      "topics": [
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      ]
    },
    {
      "page": "fredlib",
      "title": "Library of metadata for mixed frequency dataset `fred`",
      "topics": [
        "fredlib"
      ]
    },
    {
      "page": "get_data_frq",
      "title": "Get frequency of data based on missing observations",
      "topics": [
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    },
    {
      "page": "get_from_list",
      "title": "Get from list",
      "topics": [
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    },
    {
      "page": "index_by_friday",
      "title": "Find the Friday in a given week",
      "topics": [
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      ]
    },
    {
      "page": "is_in",
      "title": "Find element of this_in that",
      "topics": [
        "is_in"
      ]
    },
    {
      "page": "last_in_month",
      "title": "Last date in the month",
      "topics": [
        "last_in_month"
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    },
    {
      "page": "last_in_quarter",
      "title": "Last date in the week",
      "topics": [
        "last_in_quarter"
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    },
    {
      "page": "last_in_week",
      "title": "Last date in the week",
      "topics": [
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    },
    {
      "page": "last_in_year",
      "title": "Last date in the year",
      "topics": [
        "last_in_year"
      ]
    },
    {
      "page": "last_obs",
      "title": "Last observation",
      "topics": [
        "last_obs"
      ]
    },
    {
      "page": "limit_character",
      "title": "Limit Characters",
      "topics": [
        "limit_character"
      ]
    },
    {
      "page": "long_run_var",
      "title": "Long Run Variance of a VAR",
      "topics": [
        "long_run_var"
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    },
    {
      "page": "match_index",
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      "topics": [
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    {
      "page": "match_ts_dates",
      "title": "Match dates between two timeseries",
      "topics": [
        "match_ts_dates"
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    },
    {
      "page": "mean_na",
      "title": "Return the mean",
      "topics": [
        "mean_na"
      ]
    },
    {
      "page": "month_days",
      "title": "Number of days in a given month",
      "topics": [
        "month_days"
      ]
    },
    {
      "page": "number_finite",
      "title": "Number of finite values in a column",
      "topics": [
        "number_finite"
      ]
    },
    {
      "page": "numdum",
      "title": "Dummies for Numeric Data",
      "topics": [
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    },
    {
      "page": "pct_chng",
      "title": "Percent change",
      "topics": [
        "pct_chng"
      ]
    },
    {
      "page": "pct_response",
      "title": "Percent of responses at a given frequency",
      "topics": [
        "pct_response"
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    },
    {
      "page": "process",
      "title": "Process Data",
      "topics": [
        "process"
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    },
    {
      "page": "process_MF",
      "title": "Process mixed frequency",
      "topics": [
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      ]
    },
    {
      "page": "process_wide",
      "title": "Process Wide Format Data",
      "topics": [
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    {
      "page": "rollmax",
      "title": "Rolling Max",
      "topics": [
        "rollmax"
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    },
    {
      "page": "rollmean",
      "title": "Rolling mean",
      "topics": [
        "rollmean"
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    {
      "page": "rollmin",
      "title": "Rolling Min",
      "topics": [
        "rollmin"
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    },
    {
      "page": "row_to_list",
      "title": "Convert rows to list",
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      "page": "run_sa",
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      "page": "sd_na",
      "title": "Return the standard deviation",
      "topics": [
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    {
      "page": "seas_df_long",
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      "topics": [
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      "page": "seas_df_wide",
      "title": "Seasonally adjust wide format data using seas()",
      "topics": [
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    {
      "page": "spline_fill",
      "title": "Spline fill missing observations",
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    {
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      "page": "stack_obs",
      "title": "Stack time series observations in VAR format",
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      "page": "sum_na",
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    {
      "page": "to_ts",
      "title": "Tabular data to ts() format",
      "topics": [
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    },
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      "page": "total_response",
      "title": "Number of of responses at a given frequency",
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      "topics": [
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    {
      "page": "ts_to_df",
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  "_vignettes": [
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      "source": "intro.Rmd",
      "filename": "intro.html",
      "title": "Introduction to dateutils",
      "author": "Seth Leonard,",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Non-Technical Overview",
        "Getting Started",
        "Seasonal Adjustment",
        "Mixed frequency data",
        "Other Functions"
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      "created": "2021-07-21 18:43:45",
      "modified": "2021-10-22 01:29:50",
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