preproc_fill_daily: Fills daily data with missing dates as `NA` values

Description

Fills daily data with missing dates as NA values. Days that are absent from the daily time series are inserted with a corresponding value of NA.

Usage

preproc_fill_daily(
  data = NULL,
  Date,
  value,
  POR_start = NA,
  POR_end = NA,
  date_format = "%Y-%m-%d"
)

Value

A data.frame with Date and value, sequenced from POR_start to POR_end by 1 day.

Arguments

data: 'data.frame'. Optional data.frame input, with columns containing Date and value. Column names are specified as strings in the corresponding parameter. Default is NULL.
Date: 'Date' or 'character' vector when data = NULL, or 'character' string identifying Date column name when data is specified. Date associated with each value in value parameter.
value: 'numeric' vector when data = NULL, or 'character' string identifying values column name when data is specified.
POR_start: 'character' value. Optional period of record start. If not specified, defaults to min(Date).
POR_end: 'character' value. Optional period of record end. If not specified, defaults to max(Date).
date_format: 'character' string. Format of Date. Default is "%Y-%m-%d".

Details

Can be used prior to preproc_precondition_data to fill daily data before computation of n-day moving averages, or prior to preproc_audit_data.

Examples

Run this code

Dates = c(seq.Date(as.Date("2020-01-01"), as.Date("2020-01-10"), by = "1 day"),
          seq.Date(as.Date("2020-01-20"), as.Date("2020-01-31"), by = "1 day"))
values = c(seq.int(1, 22, 1))
preproc_fill_daily(Date = Dates, value = values)