Shortening column names for hydrological variables — hydro_shortening

Shortening column names of hydrological parameters to improve the readability of downloaded dataset from the danepubliczne.imgw.pl collection and removing duplicated column names

hydro_shortening_imgw(data, remove_duplicates = TRUE)

Arguments

data: downloaded dataset with original column names
remove_duplicates: whether to remove duplicated column names (default TRUE - i.e., columns with duplicated names are deleted)

Value

data.frame with short English names of hydrological parameters. Existing column attributes, including the original IMGW label metadata, are preserved.

Examples

# \donttest{
  monthly = data = hydro_imgw("monthly", year = 1969)
#>     Your system locale is: C.UTF-8 which may cause trouble.
#>     Please consider changing it manually while working with climate, e.g.:
#>     Sys.setlocale(category = 'LC_ALL', locale = 'en_US.UTF-8') 
#> https://danepubliczne.imgw.pl/data/dane_pomiarowo_obserwacyjne/dane_hydrologiczne/miesieczne/
#> https://danepubliczne.imgw.pl/data/dane_pomiarowo_obserwacyjne/dane_hydrologiczne/miesieczne/MIES_publiczne_format.txt
#> https://danepubliczne.imgw.pl/data/dane_pomiarowo_obserwacyjne/dane_hydrologiczne/miesieczne/1969/mies_1969.zip
  
  if (is.data.frame(monthly)) {
  abbr = hydro_shortening_imgw(data = monthly, remove_duplicates = TRUE)
  head(abbr)
  }
#>           id  X  Y       Data      station riv_or_lake  hyy idhyy idex  H
#> 1  149180010 NA NA 1968-11-01 KRZYZANOWICE    Odra (1) 1969     1    1 NA
#> 2  149180010 NA NA 1968-11-01 KRZYZANOWICE    Odra (1) 1969     1    2 NA
#> 3  149180010 NA NA 1968-11-01 KRZYZANOWICE    Odra (1) 1969     1    3 NA
#> 4  149180010 NA NA 1968-12-01 KRZYZANOWICE    Odra (1) 1969     2    1 NA
#> 5  149180010 NA NA 1968-12-01 KRZYZANOWICE    Odra (1) 1969     2    2 NA
#> 6  149180010 NA NA 1968-12-01 KRZYZANOWICE    Odra (1) 1969     2    3 NA
#>        Q  T mm
#> 1 22.000 NA 11
#> 2 46.026 NA 11
#> 3 91.000 NA 11
#> 4 16.000 NA 12
#> 5 29.674 NA 12
#> 6 56.900 NA 12
# }