aggregate_for_variable_by_region: Data aggregation function for a variable and the seven...

In THartl1/EntrancesDataPackage: Package containing functions to extract data from the ENTRANCES Dataset

Description

Aggregates data for a variable and the 7 regions/case studies of the ENTRANCES data set. The name of the aggregated value is derived from the name of the list object, the variable name and the level of the NUTS_units.

Usage

aggregate_for_variable_by_region(
  VarName,
  group_by = "sum",
  data = EntrancesData,
  NUTS_level = "NUTS3"
)

Arguments

VarName	character string with the name of the variable.
group_by	"sum", "mean" or "median", indicates whether aggregation should work by using the sum, the mean or the median of the data.
data	dataframe, from which you want to extract your data. Default is the EntrancesData dataset
NUTS_level	indicates, if the nuts_ids shall be filtered on a specific NUTS level (NUTS3, NUTS2, NUTS1, NUTS country). Default is all.

Value

dataframe

Examples

#Define a list of a variable and the type of aggregation (sum, mean or median)to get a data frame with the aggregated values for each region (Entrances case studies) and each year.
#Additionally you can define a NUTS level for the aggregation (NUTS3, NUTS2, NUTS1, NUTS country). Default is "NUTS3".
#You can define a data frame, if you don't want to use the EntrancesData data set from the package.
aggregate_for_variable_by_region(VarName="GDP_EUR", group_by="sum", data=EntrancesData, NUTS_level="all")

THartl1/EntrancesDataPackage documentation built on Dec. 18, 2021, 4:01 p.m.