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wrapper around get_salary() for multiple years

Usage

get_salaries(
  years = 2008:2021,
  union_rate = "tv-l",
  area = "west",
  resolution = "monthly",
  dbg = TRUE
)

Arguments

years

years of tariffs to try to download (default: 2008:2021)

union_rate

default: "tv-l"

area

default: "west"

resolution

"monthly": Monatswerte, "annual": Jahreswerte, "quarterly": Quartalswerte, "weekly": Wochenwerte, "weekdays": werktagswerte, "daily": Tageswerte. Default: "monthly"

dbg

print debug messages (default: TRUE)

Value

tibble with salaries for multiple years

Examples

salaries <- get_salaries(years = 2008:2021)
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2008 ... ok. (0.95s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2009 ... ok. (0.82s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2010 ... ok. (0.67s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2011 ... ok. (0.72s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2012 ... ok. (0.69s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2013 ... ok. (0.67s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2014 ... ok. (0.65s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2015 ... ok. (0.65s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2016 ... ok. (0.65s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2017 ... ok. (0.71s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2018 ... ok. (0.72s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2019 ... ok. (0.72s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2020 ... ok. (0.69s) 
#> Getting 'monthly' salary table for 'tv-l' ('west') for year 2021 ... ok. (0.75s) 
salaries
#> # A tibble: 1,542 × 10
#>    union_r…¹ area  title  year date_from  date_to    pay_g…²  step salar…³ unit 
#>    <chr>     <chr> <chr> <int> <date>     <date>     <chr>   <int>   <dbl> <chr>
#>  1 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 1         1      NA
#>  2 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 1         2    1325 €    
#>  3 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 1         3    1350 €    
#>  4 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 1         4    1380 €    
#>  5 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 1         5    1410 €    
#>  6 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 1         6    1485 €    
#>  7 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 2         1    1495 €    
#>  8 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 2         2    1660 €    
#>  9 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 2         3    1710 €    
#> 10 tv-l      west  Entg…  2008 2008-01-01 2009-02-28 E 2         4    1760 €    
#> # … with 1,532 more rows, and abbreviated variable names ¹​union_rate,
#> #   ²​pay_group, ³​salary_monthly