Function Usecases

Utility functions

Task

• Write a function rmse that calculates the Root Mean Squared Error.
• Test the function with the dataset below.

x = c(2,5,3,4)
y = c(2,6,5,5)

Semi-Automatic analysis workflow

dwd = read.csv("https://opendata.dwd.de/climate_environment/CDC/regional_averages_DE/seasonal/air_temperature_mean/regional_averages_tm_summer.txt", sep = ";", skip = 1)
knitr::kable(head(dwd))

Jahr	summer	Brandenburg.Berlin	Brandenburg	Baden.Wuerttemberg	Bayern	Hessen	Mecklenburg.Vorpommern	Niedersachsen	Niedersachsen.Hamburg.Bremen	Nordrhein.Westfalen	Rheinland.Pfalz	Schleswig.Holstein	Saarland	Sachsen	Sachsen.Anhalt	Thueringen.Sachsen.Anhalt	Thueringen	Deutschland	X
1881	summer	17.13	17.11	17.03	16.39	16.62	16.12	16.24	16.24	16.66	16.90	15.80	17.19	16.20	16.88	16.46	15.95	16.53	NA
1882	summer	16.45	16.44	14.85	14.46	15.02	16.19	15.71	15.72	15.48	15.16	16.10	15.33	15.05	16.02	15.41	14.64	15.33	NA
1883	summer	17.52	17.51	15.87	15.50	16.15	16.66	16.35	16.36	16.37	16.23	16.31	16.42	16.49	17.14	16.57	15.84	16.26	NA
1884	summer	17.00	16.98	16.08	15.35	16.01	16.32	16.20	16.21	16.45	16.52	16.19	16.83	15.92	16.57	16.02	15.33	16.10	NA
1885	summer	17.18	17.17	16.63	16.05	15.84	16.06	15.78	15.78	16.11	16.28	15.53	16.65	16.29	16.63	16.10	15.43	16.18	NA
1886	summer	17.16	17.15	16.04	15.47	15.88	16.05	15.89	15.89	16.17	16.17	15.52	16.42	16.09	16.61	16.05	15.35	16.00	NA

Task

• Write a function that calculates the long-term average temperature for a particular region in Germany.
• The function should have three arguments: the region, the start year and the end year.
• The function should return the temperature average between these two year for the specified region.