Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
6.8 225 0.442 6.3 180 0.435 6.4 190 0.456 6.2 180 0.416 6.9 205 0.449 6.4 225 0.431 6.3 185 0.487 6.8 235 0.469 6.9 235 0.435 6.7 210 0.48 6.9 245 0.516 6.9 245 0.493 6.3 185 0.374 6.1 185 0.424 6.2 180 0.441 6.8 220 0.503 6.5 194 0.503 7.6 225 0.425 6.3 210 0.371 7.1 240 0.504 6.8 225 0.4 7.3 263 0.482 6.4 210 0.475 6.8 235 0.428 7.2 230 0.559 6.4 190 0.441 6.6 220 0.492 6.8 210 0.402 6.1 180 0.415 6.5 235 0.492 6.4 185 0.484 6 175 0.387 6 192 0.436 7.3 263 0.482 6.1 180 0.34 6.7 240 0.516 6.4 210 0.475 5.8 160 0.412 6.9 230 0.411 7 245 0.407 7.3 228 0.445 5.9 155 0.291 6.2 200 0.449 6.8 235 0.546 7 235 0.48 5.9 105 0.359 6.1 180 0.528 5.7 185 0.352 7.1 245 0.414 5.8 180 0.425 7.4 240 0.599 6.8 225 0.482 6.8 215 0.457 7 230 0.435
Names of X columns:
X1 X2 X3
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation