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Data X:
18 19 18 15 19 19 19 16 18 20 14 15 18 19 16 18 18 17 19 19 17 18 16 20 13 19 15 17 17 16 17 19 18 19 20 16 17 16 16 16 16 14 17 18 16 16 13 16 15 19 16 17 19 17 17 15 16 16 16 17 18 18 18 19 14 13 18 16 15 18 18 16 19 17 17 19 19 20 19 18 16 16 15 20 16 16 20 20 18 15 14 16 14 18 20 20 18 20 14 20 17 20 14 16 20 19 18 17 17 19 15 18 15 16 16 20 18 20 18 17 19 18 19 17 18 17 16 19 18 17 18 16 20 14 17 13 13 17 18 16 17.33333333 19 18.66666667 17 16 17 17 17 20 14 20 19 16 19 17 19 20 19 19 16 18 16 17 18 16 17 15 18
Data Y:
10 13 14 12 12 13 13 13.5 13.5 14 14 12 12 11 12 14 12 11 13.5 13 12 13 12 13.5 12 12 12 13 13 10 12 13 13.5 10 14 12 10 10 14 12 14 10 13 12 12 13.5 12 10 9 14 15 13.5 8 11 10 12 14 12 12 14 13 13 13 12 10 14 11 10 13 12 12 10.5 10.5 13.5 12 13 11 10 14 13.5 7 13.5 13 13.5 15 13 14 12 13 11 12 14 13.5 14 12 12 13 14 13 12 13.5 12 10 12 13.5 12 13.5 12 12 12 10.5 12 9 14 12 13 13.5 13 11 12 11 12 12 13.5 12 13 13.5 12 12 8 12 13 10.5 8 12 13 9 12 15 14 10.5 11 12 10 14 10 15 11 12 9 12 13 12 9 12 14 10.5 12 14 12 15 11 12 12 10.5 12 10.5 11
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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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