Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
0.09 0.65 -1.53 -3.36 10.51 -1.02 -2.68 -9.75 3.64 9.5 -0.33 -0.99 3.16 4.27 -2.97 -7.49 0.33 -2.57 4.07 5.31 -8.09 5.29 7.38 -6.12 -3.38 -8.61 2.58 10.02 7.08 -2.75 3.42 -1.6 0.65 2.86 -3.52 5.65 4.31 -4.39 -5.85 -5.47 -2.3 -0.14 8.08 -7.43 0.02 -2.47 -2.11 7.87 4.66 3.6 -3.64 7.26 -7.62 13.83 1.28 -0.32 -2.9 4.92 11.99 10.06 -2.22 3.97 0.56 3.34 -2.86 4.38 1.43 -0.49 -1.23
Chart options
R Code
gp <- function(lambda, p) { (p^lambda-(1-p)^lambda)/lambda } sortx <- sort(x) c <- array(NA,dim=c(201)) for (i in 1:201) { if (i != 101) c[i] <- cor(gp(ppoints(x), lambda=(i-101)/100),sortx) } bitmap(file='test1.png') plot((-100:100)/100,c[1:201],xlab='lambda',ylab='correlation',main='PPCC Plot - Tukey lambda') grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Tukey Lambda - Key Values',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Distribution (lambda)',1,TRUE) a<-table.element(a,'Correlation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Approx. Cauchy (lambda=-1)',header=TRUE) a<-table.element(a,c[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Exact Logistic (lambda=0)',header=TRUE) a<-table.element(a,(c[100]+c[102])/2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Approx. Normal (lambda=0.14)',header=TRUE) a<-table.element(a,c[115]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'U-shaped (lambda=0.5)',header=TRUE) a<-table.element(a,c[151]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Exactly Uniform (lambda=1)',header=TRUE) a<-table.element(a,c[201]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.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