Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
4 9 4 5 4 4 9 8 11 4 4 6 4 8 4 4 11 4 4 6 6 4 8 5 4 9 4 7 10 4 4 7 12 4 7 5 8 5 4 9 7 4 4 4 4 4 7 4 7 4 4 4 4 8 4 4 4 4 7 12 4 4 4 5 15 5 10 9 8 4 5 4 9 4 10 4 7 4 6 7 5 4 4 4 4 4 4 6 10 7 4 4 7 4 8 11 6 14 5 4 8 9 4 4 5 4 5 4 4 7 10 4 5 4 4 4 6 4 8 5 4 17 4 4 8 4 7 4 4 5 7 4 4 7 11 7 4 4 4 4 4 4 6 8 23 4 8 6 4 4 7 4 4 4 4 10 6 5 5 4 4 5 5 5 5 4 6 4 4 4 9 18 6 5 4 11 4 10 6 8 8 6 8 4 4 9 9 5 4 4 15 10 9 7 9 6 4 7 4 7 4 15 4 9 4 4 28 4 4 4 5 4 4 12 5 4 6 6 5 4 4 4 10 7 4 4 7 4 4 12 5 8 6 17 4 5 4 5 5 6 4 4 4 6 8 10 4 5 4 4 4 16 4 7 4 4 14 5 5 5 5 7 19 16 4 4 7 9 5 14 4 16 10 5 6 4 4 4 5 4 4 5 4 4 5 8 15 7 5 8 8 5 4 4 11 5 22 4 4 4 5 4 16 5 4 6 5 4 4 4 7 4 8 7 4 6 5 8 8 4 7 4 13 4 4 4 4 7 5 4 5 12 8 4 4 8 5 4 4 7 5 13 4 4 4 6 4 4 4 4 4 5 6 4 4 4 6 9 5 6 13 4 7 5 4 4 4 6 6 8 6 5 9 6 4 9 4 4 4 5 4 4 4 5 5 8 4 4 9 4 4 4 4 4 4 4 4 4 4 4 4 4 5 8 7 4 4 4 5 5 6 12 5 9 12 4 16 4 5 4 4 6 4 4 5 6 5 6 4 4 7 9 5 5 4 4 12 4 6 9 4 5 4 4 4 4 4 11 4 6 4 5 4 4 6 4 7 9 5 14 4 4 4 5 4 4 9 4 4 10 4 4 6 4 9 5 4 5 14 9 4 4 17 4 5 9 7 4 5 7 10 5 4 8 4 4 6 5
Sample Range:
(leave blank to include all observations)
From:
To:
Color code
(?)
Number of bins
(?)
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par2 <- '0' par1 <- '3' library(MASS) par1 <- as.numeric(par1) if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) x <- as.ts(x) #otherwise the fitdistr function does not work properly r <- fitdistr(x,'normal') r bitmap(file='test1.png') myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$estimate[1]) a<-table.element(a,r$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,r$estimate[2]) a<-table.element(a,r$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