ConvergenceClubs provides functions for clustering regions that form convergence clubs, according to the definition by Phillips and Sul (2009).
The main functions are:
findClubs(): finds clubs of convergence, given a
dataset with regions in rows and years in columns, returning an object
of class convergence.clubs.mergeClubs(): takes as argument an object of class
convergence.clubs and applies the clustering procedure to
the convergence clubs contained in the argument, according to either
Phillips and Sul (2009) or von Lyncker and Thoennessen (2017)
procedure.For class convergence.clubs, the following methods are
available:
summary() : shows the number of regions for each club
of convergence and the number of divergent regions;print() : prints main information about the clubs and
divergent units in the convergence.clubs object (unit IDs,
beta coefficient, p-value, …);dim() : return a vector of two elements, representing
the number of clubs and the number of divergent units;plot() : plots transition path.To install the package from CRAN, simply run the following code in R:
install.packages("ConvergenceClubs")Or, if you want to install the development version from GitHub:
# if not present, install 'devtools' package
install.packages("devtools")
devtools::install_github("rhobis/ConvergenceClubs")library(ConvergenceClubs)
data("filteredGDP")
# Cluster Countries using GDP from year 1970 to year 2003
clubs <- findClubs(filteredGDP, dataCols=2:35, unit_names = 1, refCol=35,
time_trim = 1/3, cstar = 0, HACmethod = "FQSB")
summary(clubs)
# Merge clusters
mclubs <- mergeClubs(clubs, mergeMethod='PS', mergeDivergent=FALSE)
summary(mclubs)
mclubs <- mergeClubs(clubs, mergeMethod='vLT', mergeDivergent=FALSE)
summary(mclubs)
# Plot Transition Paths for all regions in each club and average Transition Path
# for all clubs
plot(mclubs)
# Plot Only average Transition Paths
plot(mclubs, clubs=NULL)
plot(mclubs, clubs=NULL, legend=TRUE)rob.sichera@gmail.com.