Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
0.122 0.131 0.129 0.129 0.126 0.128 0.131 0.131 0.131 0.129 0.129 0.129 0.130 0.130 0.128 0.130 0.122 0.127 0.131 0.130 0.128 0.130 0.128 0.134 0.134 0.128 0.129 0.131 0.132 0.130 0.130 0.135 0.128 0.135 0.134 0.129 0.129 0.127 0.130 0.130 0.130 0.130 0.129 0.128 0.129 0.129 0.132 0.131 0.129 0.128 0.128 0.136 0.137 0.131 0.132 0.132
minimum value of shape parameter
maximum value of shape parameter
Chart options
R Code
par2 <- '60' par1 <- '40' library(MASS) PPCCWeibull <- function(shape, scale, x) { x <- sort(x) pp <- ppoints(x) cor(qweibull(pp, shape=shape, scale=scale), x) } par1 <- as.numeric(par1) par2 <- as.numeric(par2) if (par1 < 0.1) par1 <- 0.1 if (par1 > 50) par1 <- 50 if (par2 < 0.1) par2 <- 0.1 if (par2 > 50) par2 <- 50 par1h <- par1*10 par2h <- par2*10 sortx <- sort(x) c <- array(NA,dim=c(par2h)) for (i in par1h:par2h) { c[i] <- cor(qweibull(ppoints(x), shape=i/10,scale=2),sortx) } bitmap(file='test1.png') plot((par1h:par2h)/10,c[par1h:par2h],xlab='shape',ylab='correlation',main='PPCC Plot - Weibull') dev.off() f<-fitdistr(x, 'weibull') f$estimate f$sd xlab <- paste('Weibull(shape=',round(f$estimate[[1]],2)) xlab <- paste(xlab,', scale=') xlab <- paste(xlab,round(f$estimate[[2]],2)) xlab <- paste(xlab,')') bitmap(file='test2.png') qqplot(qweibull(ppoints(x), shape=f$estimate[[1]], scale=f$estimate[[2]]), x, main='QQ plot (Weibull)', xlab=xlab ) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'shape',header=TRUE) a<-table.element(a,f$estimate[1]) a<-table.element(a,f$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'scale',header=TRUE) a<-table.element(a,f$estimate[2]) a<-table.element(a,f$sd[2]) 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