Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
-0.15 0.85 -1.15 -0.15 0.85 -1.15 2.85 0.85 1.85 -1.15 -2.15 -0.15 0.85 -2.15 -1.15 1.85 -0.15 -0.15 1.85 -2.15 -0.8 1.2 0.2 -1.8 3.2 -2.8 0.2 0.2 3.2 0.2 -0.8 -0.8 -0.8 -0.8 -1.8 1.2 1.2 -0.8 2.2 -1.8 -0.1 0.9 1.9 -1.1 -0.1 0.9 1.9 -2.1 -2.1 -1.1 -0.1 0.9 -3.1 2.9 -1.1 -0.1 1.9 0.9 -0.65 1.35 0.35 -1.65 2.35 -2.65 0.35 0.35 1.35 0.35 -0.65 -0.65 0.35 -0.65 -1.65 1.35 0.35 -0.65 -0.1 -1.1 2.35 -1.65
Sample Range:
(leave blank to include all observations)
From:
To:
Number of Bins
(?)
Chart options
Title:
Label x-axis:
R Code
x <- x[!is.na(x)] bitmap(file='test1.png') par1 <- as.numeric(par1) myhist<-hist(x, breaks=par1, col=2, xlab=xlab, main=main) dev.off() bitmap(file='test2.png') qqnorm(x) qqline(x, col=2) dev.off() bitmap(file='test3.png') plot(density(x), xlab=xlab, main=main) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,signif(mean(x), 6)) a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','formula','click to see the formula')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,signif(sd(x), 6)) a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','formula','click to see the formula')) 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