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CSV
Data X:
13 16 17 15 16 16 18 16 17 17 17 15 16 14 16 17 16 15 17 16 15 16 15 17 14 16 15 16 16 13 15 17 15 13 17 15 14 14 18 15 17 13 16 15 15 16 15 13 17 18 18 11 14 13 15 17 16 15 17 16 16 16 15 12 17 14 14 16 15 15 14 13 18 15 16 14 15 17 16 10 16 17 17 20 17 18 15 17 14 15 17 16 17 15 16 18 18 16 17 15 13 15 17 16 16 15 16 16 14 15 12 19 16 16 17 16 14 15 14 16 15 17 15 16 16 15 15 11 16 18 13 11 18 15 19 17 13 14 16 13 17 14 19 14 16 12 16 16 15 12 15 17 14 15 18 15 18 15 15 16 13 16 14 16
Data Y:
14 19 17 17 15 20 15 19 15 15 19 16 20 18 15 14 20 16 16 16 10 19 19 16 15 18 17 19 17 14 19 20 5 19 16 15 16 18 16 15 17 14 20 19 7 13 16 16 18 18 16 17 19 16 19 13 16 13 12 17 17 17 16 16 14 16 13 16 14 20 12 13 18 14 19 18 14 18 19 15 14 17 19 13 19 18 20 15 15 15 20 15 19 18 18 15 20 17 18 19 20 13 17 15 16 18 18 14 15 12 17 14 18 17 17 20 16 14 15 18 20 17 17 17 17 15 17 18 17 20 15 16 18 15 18 20 19 14 16 15 17 18 20 17 18 15 16 11 15 18 17 16 12 19 18 15 17 19 18 19 16 16 16 14
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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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