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Visualising cluster stability using a Sankey diagram
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| <html> | |
| <head> | |
| <script type="text/javascript" | |
| src="https://www.google.com/jsapi?autoload={'modules':[{'name':'visualization','version':'1.1','packages':['sankey']}]}"> | |
| </script> | |
| <div id="sankey_basic" style="width: 900px; height: 300px;"></div> | |
| <script type="text/javascript"> | |
| google.setOnLoadCallback(drawChart); | |
| function drawChart() { | |
| var data = new google.visualization.DataTable(); | |
| data.addColumn('string', 'From'); | |
| data.addColumn('string', 'To'); | |
| data.addColumn('number', 'Weight'); | |
| data.addRows([ | |
| ["20.1","25.1", 5], | |
| ["20.2","25.2", 4], | |
| ["20.3","25.3", 3], | |
| ["20.4","25.4", 5], | |
| ["20.5","25.5", 3], | |
| ["25.1","30.1", 7], | |
| ["25.2","30.2", 4], | |
| ["25.3","30.3", 4], | |
| ["25.4","30.4", 5], | |
| ["25.4","30.6", 1], | |
| ["25.5","30.5", 4], | |
| ["30.1","35.1", 8], | |
| ["30.2","35.1", 3], | |
| ["30.2","35.4", 1], | |
| ["30.3","35.2", 4], | |
| ["30.4","35.3", 7], | |
| ["30.5","35.5", 5], | |
| ["30.6","35.3", 2], | |
| ["35.1","40.1",13], | |
| ["35.2","40.2", 4], | |
| ["35.3","40.2", 2], | |
| ["35.3","40.3", 8], | |
| ["35.4","40.4", 2], | |
| ["35.5","40.5", 6], | |
| ["40.1","45.1",14], | |
| ["40.2","45.2", 9], | |
| ["40.3","45.3", 9], | |
| ["40.4","45.4", 2], | |
| ["40.5","45.5", 6], | |
| ["45.1","50.1",14], | |
| ["45.2","50.2",11], | |
| ["45.3","50.3",10], | |
| ["45.4","50.4", 2], | |
| ["45.5","50.5", 8] | |
| ]); | |
| // Set chart options | |
| var options = { | |
| width: 600, | |
| }; | |
| // Instantiate and draw our chart, passing in some options. | |
| var chart = new google.visualization.Sankey(document.getElementById('sankey_basic')); | |
| chart.draw(data, options); | |
| } | |
| </script> | |
| </head> | |
| </html> |
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| #Sequence for adding new data | |
| s<-seq(20,50, by=5) | |
| #Set up object for recording clusters | |
| clus.change<-NULL | |
| #Cycle through the clustering solutions | |
| for (i in s){ | |
| hc <- hclust(dist(USArrests[1:i,]), "ave") | |
| ct<-cutree(hc, h=50) | |
| add<-data.frame(size=rep(i, i), ind=names(ct), cluster=paste0(i, ".", ct)) | |
| clus.change<-rbind(clus.change, add) | |
| } | |
| #Reshape the data | |
| m<-merge(clus.change, clus.change, by="ind") | |
| library(reshape2) | |
| d<-dcast(data=m, size.x+size.y+cluster.x+cluster.y~., length) | |
| #Filter to just the sequential steps | |
| ex<-d[d$size.y==d$size.x+5,3:5] | |
| #turn into a JS matrix | |
| mat<-function(x){ | |
| return(paste0('["',x[1], '","', x[2], '",', x[3], '],' )) | |
| } | |
| a<-apply(ex,1,mat) | |
| #Output to a file | |
| fileConn<-file("/path/sankeyMatrix.txt") | |
| writeLines(a, fileConn) | |
| close(fileConn) |
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