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Data X:
10 13 14 NA NA 13 NA NA NA 14 14 12 12 11 12 14 NA NA NA NA 13 NA 13 NA NA NA 12 12 13 13 10 12 13 NA 10 14 NA 10 10 14 NA 14 10 13 12 12 NA 12 10 NA 14 NA NA 8 11 10 NA 14 12 NA 14 13 13 13 12 10 14 11 10 13 NA NA NA NA NA 12 13 11 10 14 NA 7 NA 13 NA 15 13 14 NA 13 11 NA 14 NA 14 NA 12 13 14 13 NA NA 12 10 NA NA NA NA NA 12 NA NA NA 9 NA 12 13 NA 13 11 12 11 NA 12 NA 12 13 NA NA NA 8 NA 13 NA 8 NA 13 NA 12 15 14 NA 11 NA 10 14 10 15 11 NA NA 12 13 12 9 NA 14 NA NA 14 12 15 11 NA NA NA 12 NA 11
Data Y:
10 15 13 13 11 15 12 15 14 12 15 NA 15 14 11 11 15 NA 12 11 12 8 14 14 14 12 14 13 14 14 NA 14 15 3 14 13 12 12 14 13 12 13 NA 15 15 5 9 11 12 NA 14 15 12 13 15 12 14 12 12 10 11 13 13 13 13 12 10 12 10 13 11 15 9 10 14 10 15 13 10 13 15 12 11 13 15 11 14 14 15 13 12 12 15 12 15 14 14 12 15 15 9 14 15 15 NA 13 12 12 15 14 10 11 10 13 11 14 13 13 15 13 11 11 14 15 13 13 13 13 11 14 14 13 15 12 12 12 13 7 12 14 15 15 12 13 13 13 14 15 13 14 12 13 9 11 13 13 11 10 15 14 13 13 15 14 15 14 12 13 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')
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Big Analytics Cloud Computing Center
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