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Data X:
12 22 12 23 12 19 12 25 13 22 13 24 13 23 13 22 13 25 13 25 13 24 13 26 13 21 13 24 13 22 13 21 14 24 14 23 14 24 14 22 14 23 14 24 14 25 14 23 14 25 14 20 14 24 14 23 14 23 14 25 14 26 14 24 14 24 14 25 15 21 15 25 15 25 15 26 15 25 15 24 15 28 15 25 15 24 15 25 15 25 15 24 15 23 15 21 15 25 15 27 15 23 15 28 15 22 15 24 15 25 15 24 15 24 15 26 15 21 15 25 15 24 15 24 15 25 15 23 15 21 15 22 15 26 15 25 15 26 15 22 15 24 15 27 15 24 16 24 16 26 16 25 16 24 16 24 16 24 16 25 16 24 16 26 16 24 16 25 16 25 16 28 16 24 16 24 16 24 16 26 16 21 16 24 16 25 16 26 16 25 16 25 16 26 16 27 16 26 16 21 16 25 16 24 16 24 16 24 16 28 16 24 16 23 16 25 16 24 16 23 16 25 16 25 16 25 16 23 16 24 16 25 16 23 17 26 17 27 17 28 17 23 17 25 17 25 17 26 17 27 17 23 17 28 17 26 17 22 17 27 17 23 17 24 17 25 17 26 17 26 17 23 17 26 17 25 17 26 17 28 17 25 17 24 17 28 17 25 17 27 18 21 18 25 18 25 18 27 18 26 18 27 18 25 18 28 18 25 18 27 18 25 18 23 19 23 19 29 19 26 20 25
Names of X columns:
TVDCSUM SKSUM
R Code
library(corpcor) x <- t(y) (r1 <- pcor.shrink(x)) (r0 <- cor(x)) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Pearson Correlation Matrix',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('r0'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable0.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Partial Pearson Correlation Matrix (Shrinkage Method)',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('r1'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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