Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
18 19 18 15 19 19 19 18 20 14 15 18 19 16 18 18 17 19 19 17 18 16 20 13 19 15 17 17 16 17 19 18 19 20 16 17 16 16 16 16 14 17 18 16 16 16 15 19 16 17 19 17 17 15 16 16 16 17 18 18 18 19 14 13 18 16 15 18 18 16 19 17 17 19 19 20 19 18 16 16 15 20 16 16 20 20 18 15 14 16 14 18 20 20 18 20 14 20 17 20 14 16 20 19 18 17 17 19 15 18 15 16 16 20 18 20 18 17 19 18 19 17 18 17 16 19 18 17 18 16 20 14 17 13 13 17 18 16 19 17 16 17 17 17 20 14 20 19 16 19 17 19 20 19 19 16 18 16 17 18 16 17 15 18
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