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index 0000000000000000000000000000000000000000..1a895f934b1c89751fd04c785fe3c9b0dda4ebe9
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+"Country","Cluster"
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+"Country","Cluster"
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+"Benin",2
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+"Cote d'Ivoire",2
+"Gabon",2
+"Ghana",2
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+"Country","Cluster"
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+"Kenya",3
+"Lesotho",3
+"Malawi",3
+"Namibia",3
+"Rwanda",3
+"Uganda",3
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diff --git a/code/featuresClustering.R b/code/featuresClustering.R
index 166ba67e40abf03e8dfbcac77085ca4546431fd0..2ec49fefc049644ba687063e1a7da7df25fdd139 100644
--- a/code/featuresClustering.R
+++ b/code/featuresClustering.R
@@ -28,7 +28,7 @@ source("code/plotFeatureMaps.R")
 
 # Clustering countries based on features.
 
-runFeaturesClustering = function(additionalDataFile=NULL, cutReference, cutRefValue, clusteringMethod = "complete", incidenceYear=NULL, scale = FALSE, data_sheetName = 'Data'){
+runFeaturesClustering = function(additionalDataFile=NULL, cutReference, cutRefValue, clusteringMethod = "complete", incidenceYear=NULL, scale = FALSE, data_sheetName = 'Data', res_dir= "code/Results"){
   print("runFeaturesClustering(...)")
   print(paste("additionalDataFile = ",additionalDataFile))
   print(paste("cutReference = ",cutReference))
@@ -52,7 +52,8 @@ runFeaturesClustering = function(additionalDataFile=NULL, cutReference, cutRefVa
   M = M[,2:ncol(M)]
   rownames(M) = countryNames
   # Set directory where results must be saved.
-  mainDir = "code/Results"
+  #mainDir = "code/Results"
+  mainDir=res_dir
   dir.create(mainDir)
   if (scale){
     M = scale(M)
diff --git a/code/main_script.R b/code/main_script.R
index f6fd38edb996e4b1edc499f95e9f9b64baae0db8..3109d82bae0dc2694b614f90a1f2028334114727 100644
--- a/code/main_script.R
+++ b/code/main_script.R
@@ -24,7 +24,7 @@ file_StatCompiler_data = "data/original_aziza/all_SSA_var_Religion_ART_2015_GINI
 
 # Run clustering with given number of clusters.
 nbClusters = 3
-runFeaturesClustering(file_StatCompiler_data,"nbClust",nbClusters,incidenceYear=2016,data_sheetName = "Data_LongVar")
+runFeaturesClustering(file_StatCompiler_data,"nbClust",nbClusters,incidenceYear=2016,data_sheetName = "Data_LongVar", res_dir="code/Results2")
 
 # Run clustering with a range of cluster numbers
 min_nbClusters = 2