average_clust: Unweighted average of countries

In convergEU: Monitoring Convergence of EU Countries

Unweighted average of countries

Description

The computation is based on clusters defined in a objects created by invoking *convergEU_glb()*. At now only cluster labels contained into *convergEU_glb()* are possible.

Usage

average_clust(myTB, timeName = "time", cluster = "EU27")

Arguments

myTB	time by member states dataset.
timeName	name of the variable that contains time.
cluster	the label defining a cluster; one string selected within the following: "EU12" , "EU15" ,"EU19","EU25" ,"EU27_2007", "EU28", "EU27_2020", "Eurozone","EA", "all" (for all countries in the dataset).

Details

The cluster specification is based on labels: "EU27_2020", "EU27_2007", "EU25", "EU19", "EU15", "EU12","EA", "Eurozone", "all". The option cluster = "all" indicates that all countries in the dataset have to be considered.

Value

The dataset with the average of clustered countries.

References

https://unimi2013-my.sharepoint.com/:u:/g/personal/federico_stefanini_unimi_it/EW0cVSIgbtZAvLPNbqcxdX8Bfn5VGSRHfAH88hQwc_RIEQ?e=MgtSZu

Examples

# Example 1
# Unweighted average of Member States for cluster "EU12":
myAC1<-average_clust(emp_20_64_MS,timeName = "time",cluster = "EU12")

#  Visualize results for Italy:
myAC1$res[,c(1,17)]

# Visualize results for the first five member states:
myAC1$res[,c(1:6)]

# Example 2
# Unweighted average of Member States for cluster "EU25":
myAC2<-average_clust(emp_20_64_MS,timeName = "time",cluster = "EU25")

# Visualize results for France:
myAC2$res[,c(1,13)]

# Visualize results for the first six member states:
myAC2$res[,c(1:7)]

# Example 3
# Unweighted average of countries for cluster "EU27":
myAC<-average_clust(emp_20_64_MS,timeName = "time",cluster = "EU27")

# Visualize results for Germany:
myAC$res[,c(1,7)]

# Visualize results for the first five member states:
myAC$res[,c(1:6)]

convergEU documentation built on March 7, 2023, 7:22 p.m.