R/rawsList_filterDate.R
rawsList_filterDate.RdSubsets a list of raws_timeseries objects by date. This function always filters to day-boundaries.
Dates can be anything that is understood by lubridate::ymd()
including either of the following recommended formats:
"YYYYmmdd"
"YYYY-mm-dd"
rawsList_filterDate(
rawsList = NULL,
startdate = NULL,
enddate = NULL,
days = NULL,
weeks = NULL,
timezone = NULL
)list of raws_timeseries object.
Desired start datetime (ISO 8601).
Desired end datetime (ISO 8601).
Number of days to include in the filterDate interval.
Number of weeks to include in the filterDate interval.
Olson timezone used to interpret dates.
A list of subsets of the elements of the given list of raws_timeseries objects filtered by date.
The returned data will run from the beginning of startdate until
the beginning of enddate -- i.e. no values associated
with enddate will be returned.
# \donttest{
library(RAWSmet)
september_week1 <-
example_cefaList %>%
rawsList_filterDate(
startdate = 20170901,
enddate = 20170908,
timezone = "America/Los_Angeles"
)
head(september_week1)
#> $`452701`
#> $meta
#> # A tibble: 1 × 14
#> deviceDeploymentID deviceID locationID locationName longitude latitude
#> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 84a66be3fc5b535e_452701 452701 84a66be3fc5b… SADDLE MOUN… -120. 46.7
#> # ℹ 8 more variables: elevation <dbl>, countryCode <chr>, stateCode <chr>,
#> # timezone <chr>, nwsID <chr>, wrccID <chr>, nessID <chr>, agencyName <chr>
#>
#> $data
#> # A tibble: 168 × 12
#> datetime temperature humidity windSpeed windDirection maxGustSpeed
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2017-09-01 07:00:00 21.7 40 2.68 244 6.71
#> 2 2017-09-01 08:00:00 20.6 40 0.894 302 4.92
#> 3 2017-09-01 09:00:00 17.8 40 2.68 258 4.47
#> 4 2017-09-01 10:00:00 16.7 40 3.13 254 3.58
#> 5 2017-09-01 11:00:00 15 41.5 1.34 247 3.13
#> 6 2017-09-01 12:00:00 14.4 41.5 0.894 112 3.13
#> 7 2017-09-01 13:00:00 11.1 46.5 0.447 316 2.24
#> 8 2017-09-01 14:00:00 10.6 46.5 1.34 244 2.24
#> 9 2017-09-01 15:00:00 15 46.5 1.34 276 1.79
#> 10 2017-09-01 16:00:00 21.1 46.5 0.447 319 1.34
#> # ℹ 158 more rows
#> # ℹ 6 more variables: maxGustDirection <dbl>, precipitation <dbl>,
#> # solarRadiation <dbl>, fuelMoisture <dbl>, fuelTemperature <chr>,
#> # monitorType <chr>
#>
#> attr(,"class")
#> [1] "raws_timeseries" "sts" "list"
#>
#> $`452918`
#> $meta
#> # A tibble: 1 × 14
#> deviceDeploymentID deviceID locationID locationName longitude latitude
#> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 6459d6d61050ae9b_452918 452918 6459d6d61050… WELLPINIT -118. 47.9
#> # ℹ 8 more variables: elevation <dbl>, countryCode <chr>, stateCode <chr>,
#> # timezone <chr>, nwsID <chr>, wrccID <chr>, nessID <chr>, agencyName <chr>
#>
#> $data
#> # A tibble: 168 × 12
#> datetime temperature humidity windSpeed windDirection maxGustSpeed
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2017-09-01 07:00:00 20 40 1.34 129 2.24
#> 2 2017-09-01 08:00:00 18.3 40 2.24 117 2.68
#> 3 2017-09-01 09:00:00 17.2 40 1.34 108 2.24
#> 4 2017-09-01 10:00:00 15.6 40 0.447 84 1.79
#> 5 2017-09-01 11:00:00 14.4 40 0 43 1.79
#> 6 2017-09-01 12:00:00 13.3 41 0 123 0.894
#> 7 2017-09-01 13:00:00 12.8 42.5 0.447 68 1.34
#> 8 2017-09-01 14:00:00 13.3 42.5 0 290 0
#> 9 2017-09-01 15:00:00 17.8 42.5 0 221 0.894
#> 10 2017-09-01 16:00:00 19.4 42.5 0.894 237 1.79
#> # ℹ 158 more rows
#> # ℹ 6 more variables: maxGustDirection <dbl>, precipitation <dbl>,
#> # solarRadiation <dbl>, fuelMoisture <dbl>, fuelTemperature <chr>,
#> # monitorType <chr>
#>
#> attr(,"class")
#> [1] "raws_timeseries" "sts" "list"
#>
# }