Transform daisy time columns to a single timestamp

Usage

daisy_time_to_timestamp(
  dlf,
  time_col_name = "time",
  year_col = NULL,
  month_col = NULL,
  day_col = NULL,
  hour_col = NULL,
  drop_daisy_time_cols = FALSE
)

Arguments

dlf: An S4 object of class Dlf or a list of Dlf objects
time_col_name: The name of the new timestamp column
year_col: Name of year column, set to NULL if no year column
month_col: Name of month column, set to NULL if no month column
day_col: Name of day column, set to NULL if no day column
hour_col: Name of hour column, set to NULL if no hour column
drop_daisy_time_cols: If TRUE drop the year, month, day, hour columns

Value

An S4 object of class Dlf

If all of year_col, month_col, day_col and hour_col are NULL, then an attempt is made to guess the relevant names.

The returned object is identical to the dlf, except that the Columns 'year', 'month', 'mday' and 'hour' are dropped and replaced with a column containing the corresponding POSIXct timestamp

Examples

data_dir <- system.file("extdata", package="daisyrVis")
path <- file.path(data_dir, 'daily/DailyP/DailyP-Daily-WaterFlux.dlf')
dlf <- read_dlf(path)
dlf@data[1,]
#>   year month mday hour       time z        q
#> 1 1990     4    2    0 1990-04-02 0 0.686972
dlf <- daisy_time_to_timestamp(dlf)
dlf@data[1,]
#>   year month mday hour       time z        q
#> 1 1990     4    2    0 1990-04-02 0 0.686972