Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
7 8 8 10 8 9 8 10 7 10 8 8 6 7 9 9 8 8 10 7 7 7 6 9 7 8 10 9 8 8 10 8 4 6 7 7 3 8 8 6 10 8 4 8 7 6 9 10 9 7 10 7 10 9 7 10 8 8 6 9 7 8 8 9 5 9 6 8 10 7 5 4 9 10 8 6 6 9 3 7 9 7 8 9 9 8 9 6 7 8 7 9 9 5 6 8 10 5 8 8 10 7 9 8 8 10 9 9 6 8 5 3 6 6 10 9 9 5 6 7 8 9 3 5 5 9 10 7 8 6 5 8 7 5 6 10 10 6 4 8 5 7 10 8 7 2 7 9 8 5 8 6 7 10 8 10 9 8 10 4 6 9 4 6 7 9 8 6 4 8 8 9 6 5 5 8 8 9 7 9 8 6 7 8 8 7 7 8 8 9 9 9 8 2 8 8 8 7 10 8 10 5 4 10 8 7 5 7 9 8 8 2 9 8 5 7 8 7 5 10 6 6 5 7 8 8 4 9 4 10 6 6 8 8 8 8 8 8 7 7 8 10 10 3 8 2 4 4 9 10 6 10 10 3 9 9 6 5 4 4 6 6 8 8 5 7 6 10 8 8 9 5 10 8 9 8 7 10 10 9 4 4 8 9 10 8 5 10 8 7 8 8 9 8 6 8 8 5 9 8 8 8 6 6 9 8 9 10 8 8 7 7 10 8 7 10 7 7 9 9 8 6 8 9 2 6 8 8 7 8 6 10 10 10 8 8 7 10 5 3 2 3 4 2 6 8 8 5 10 9 8 9 8 5 7 9 8 4 7 8 7 7 9 6 7 4 6 10 9 10 8 4 8 5 8 9 8 4 8 10 6 7 10 9 8 3 8 7 7 8 8 7 7 9 9 9 4 6 6 6 8 3 8 8 6 10 2 9 6 6 5 4 7 5 8 6 9 6 4 7 2 8 9 6 5 7 8 4 9 9 9 7 5 7 9 8 6 9 8 7 7 7 8 10 6 6
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