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Data X:
6 10.24 3.2 7 10.89 3.3 2 9 3.0 11 12.25 3.5 13 13.69 3.7 3 7.29 2.7 17 12.96 3.6 10 12.25 3.5 4 14.44 3.8 12 11.56 3.4 7 13.69 3.7 11 12.25 3.5 3 7.84 2.8 5 14.44 3.8 1 18.49 4.3 12 10.89 3.3 18 12.96 3.6 8 12.96 3.6 6 10.89 3.3 1 7.84 2.8
Names of X columns:
Numeracy Gebgew2 Gebgewicht
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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Big Analytics Cloud Computing Center
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