Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
11 11 11 11 10 14 9 11 11 12 10 10 10 14 12 10 9 10 12 10 13 8 12 11 11 12 12 12 11 14 11 11 11 10 12 12 10 14 12 12 11 11 11 15 11 11 10 0 10 11 12 10 12 9 10 7 9 12 11 12 13 11 11 12 9 13 11 10 8 11 12 11 8 11 8 11 7 10 9 11 11 9 11 11 13 10 14 11 11 9 10 13 9 12 11 14 12 12 7 11 11 12 12 11 11 11 15 12 12 11 12 10 11 11 9 14 11 8 11 11 13 11 11 14 11 11 11 8 10 11 11 14 12 12 12 10 13 3 10 13 7 11 12 11 11 11 12 8 14 14 12 12 14 12 10 11 11 7 13 10 11 9 13 11 10 11 12 11 11
Data Y:
10 13 14 8 8 13 13 9 9 14 14 12 12 11 12 14 8 0 11 9 13 8 13 8 9 8 12 12 13 13 10 12 13 9 10 14 8 10 10 14 8 14 10 13 12 12 9 12 10 3 14 10 9 8 11 10 8 14 12 8 14 13 13 13 12 10 14 11 10 13 8 8 7 7 9 12 13 11 10 14 9 7 9 13 9 15 13 14 8 13 11 8 14 9 14 8 12 13 14 13 4 9 12 10 8 9 8 9 8 12 8 7 8 9 14 12 13 9 13 11 12 11 8 12 9 12 13 9 8 8 8 12 13 7 8 8 13 3 12 15 14 7 11 12 10 14 10 15 11 8 6 12 13 12 9 8 14 7 8 14 12 15 11 8 8 7 12 7 11
Number of bins for the Histograms (optional)
(?)
Chart options
Label y-axis:
Label x-axis:
R Code
library(car) if(par1 == '') par1 <- 0 par1 <- as.numeric(par1) if (par1 < 0) par1 <- 0 bitmap(file='test1.png') if(par1 > 0) { myhist<-hist(x, breaks=par1, col=2,main='Histogram (series X)') } else { myhist <- hist(x, col=2) } dev.off() bitmap(file='test1a.png') if(par1 > 0) { myhist<-hist(y, breaks=par1, col=2,main='Histogram (series Y)') } else { myhist <- hist(y, col=2) } dev.off() bitmap(file='test2.png') qqPlot(x,main='Normal Q-Q Plot (series X)',ylab='Sample Quantiles',xlab='Normal Quantiles') dev.off() bitmap(file='test2a.png') qqPlot(y,main='Normal Q-Q Plot (series Y)',ylab='Sample Quantiles',xlab='Normal Quantiles') dev.off() bitmap(file='test3.png') qqplot(x,y,main='Q-Q Plot (series X vs Y)',ylab='Sample Quantiles of series Y',xlab='Sample Quantiles of series X') qqline(x,y) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean of X',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation of X',header=TRUE) a<-table.element(a,sd(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean of Y',header=TRUE) a<-table.element(a,mean(y)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation of Y',header=TRUE) a<-table.element(a,sd(y)) 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