Creates fields for hydrological year and hydrological day.
Speed is slow, needs conversion to C++ in future iterations.
Usage
hydroYearDay(x, calendar = "oct_us_gb", ...)
# S3 method for data.table
hydroYearDay(x, calendar = "oct_us_gb")
# S3 method for POSIXct
hydroYearDay(x, calendar = "oct_us_gb")Arguments
- x
Array of dates of class Date
- calendar
hydrological year calendar. Set to 'oct_us_gb' (USA and UK), but can also be 'sep_br' (Brazil), 'apr_cl' (Chille).
Examples
## Load bewdley dataset
data(bewdley)
## Inspect the data
bewdley$data
#> dateTime value quality qcode
#> <POSc> <num> <char> <char>
#> 1: 2008-10-01 09:00:00 25.3 Good <NA>
#> 2: 2008-10-01 09:15:00 25.5 Good <NA>
#> 3: 2008-10-01 09:30:00 25.6 Good <NA>
#> 4: 2008-10-01 09:45:00 25.6 Good <NA>
#> 5: 2008-10-01 10:00:00 25.7 Good <NA>
#> ---
#> 490844: 2022-10-01 07:45:00 12.0 Good <NA>
#> 490845: 2022-10-01 08:00:00 11.8 Good <NA>
#> 490846: 2022-10-01 08:15:00 11.6 Good <NA>
#> 490847: 2022-10-01 08:30:00 11.6 Good <NA>
#> 490848: 2022-10-01 08:45:00 11.6 Good <NA>
## Add hydrological year and hydrological day columns
bewdley$hydroYearDay()
#> ℹ Calculating hydrological year and day
#> ✔ Calculating hydrological year and day [6s]
#>
## Print the bewdley dataset
bewdley
#>
#> ── Class: HydroImport ──────────────────────────────────────────────────────────
#>
#> ── Metadata: ──
#>
#> Data Type: Raw Import
#> Station name: Bewdley
#> WISKI ID: 2001
#> Parameter Type: Flow
#> Modifications: NA
#> Start: 2008-10-01 09:00:00
#> End: 2022-10-01 08:45:00
#> Time Step: 900
#> Observations: 490848
#> Easting: 378235
#> Northing: 276165
#> Longitude: -2.321186
#> Latitude: 52.383072
#>
#>
#> ── Observed data: ──
#>
#> dateTime value quality qcode hydroYear hydroYearDay
#> <POSc> <num> <char> <char> <num> <num>
#> 1: 2008-10-01 09:00:00 25.3 Good <NA> 2009 1
#> 2: 2008-10-01 09:15:00 25.5 Good <NA> 2009 1
#> 3: 2008-10-01 09:30:00 25.6 Good <NA> 2009 1
#> 4: 2008-10-01 09:45:00 25.6 Good <NA> 2009 1
#> 5: 2008-10-01 10:00:00 25.7 Good <NA> 2009 1
#> ---
#> 490844: 2022-10-01 07:45:00 12.0 Good <NA> 2022 365
#> 490845: 2022-10-01 08:00:00 11.8 Good <NA> 2022 365
#> 490846: 2022-10-01 08:15:00 11.6 Good <NA> 2022 365
#> 490847: 2022-10-01 08:30:00 11.6 Good <NA> 2022 365
#> 490848: 2022-10-01 08:45:00 11.6 Good <NA> 2022 365
#>
#>
#>
#> For more details use the $methods() function, the format should be as
#> `Object_name`$methods()