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Data:
3.00 4.33 6.33 17.60 36.33 37.93 41.87 43.67 44.00 47.00 47.00 47.00 47.20 48.33 49.00 49.33 49.67 51.00 51.00 51.00 51.00 51.53 52.33 52.67 52.67 53.33 53.67 53.67 53.87 54.00 54.00 54.20 54.33 54.33 54.67 54.67 54.67 54.73 55.00 55.00 55.00 55.07 55.33 55.33 55.33 55.47 55.67 55.67 55.93 56.00 56.00 56.00 56.20 56.33 56.33 56.33 56.67 56.67 56.67 56.67 56.67 57.00 57.13 57.33 57.33 57.47 57.47 57.67 57.67 57.67 57.67 57.80 57.87 58.00 58.00 58.00 58.00 58.00 58.00 58.00 58.00 58.07 58.20 58.27 58.27 58.33 58.33 58.33 58.40 58.67 58.67 58.67 58.67 58.67 58.67 58.67 58.80 58.80 58.93 59.00 59.00 59.00 59.13 59.13 59.33 59.33 59.33 59.33 59.33 59.40 59.47 59.53 59.53 59.53 59.60 59.67 59.67 59.67 59.67 59.67 59.67 59.67 59.67 59.73 59.73 59.73 59.80 59.80 59.87 60.00 60.00 60.00 60.00 60.00 60.00 60.00 60.00 60.00 60.13 60.13 60.13 60.33 60.33 60.33 60.33 60.33 60.33 60.33 60.40 60.47 60.67 60.67 60.67 60.67 60.67 60.73 60.80 60.87 61.00 61.00 61.00 61.00 61.00 61.00 61.00 61.00 61.27 61.27 61.33 61.33 61.33 61.33 61.33 61.33 61.33 61.33 61.40 61.40 61.47 61.47 61.60 61.60 61.60 61.67 61.67 61.67 61.67 61.67 61.67 61.67 61.67 61.67 61.80 61.87 61.93 61.93 61.93 62.00 62.00 62.00 62.00 62.00 62.00 62.00 62.13 62.20 62.33 62.33 62.33 62.33 62.40 62.40 62.40 62.40 62.40 62.53 62.60 62.60 62.60 62.60 62.67 62.67 62.67 62.80 62.80 62.80 62.87 62.87 62.93 62.93 63.00 63.00 63.00 63.00 63.00 63.07 63.13 63.20 63.27 63.33 63.33 63.33 63.33 63.33 63.33 63.33 63.47 63.53 63.53 63.53 63.60 63.67 63.67 63.67 63.67 63.67 63.67 63.67 63.67 63.67 63.67 63.67 63.67 63.73 63.73 63.73 63.87 64.00 64.00 64.00 64.00 64.00 64.00 64.00 64.00 64.00 64.07 64.07 64.07 64.13 64.20 64.20 64.27 64.27 64.33 64.33 64.40 64.47 64.60 64.60 64.67 64.67 64.67 64.67 64.67 64.67 64.67 64.67 64.67 64.67 64.67 64.67 64.73 64.80 64.87 65.00 65.00 65.00 65.00 65.00 65.07 65.07 65.20 65.33 65.33 65.47 65.47 65.60 65.67 65.67 65.67 65.67 65.67 65.67 65.67 65.80 65.80 65.80 65.93 66.00 66.00 66.00 66.00 66.00 66.00 66.00 66.00 66.00 66.00 66.00 66.07 66.20 66.20 66.27 66.27 66.33 66.33 66.47 66.53 66.53 66.53 66.60 66.67 66.67 66.67 66.67 66.73 66.73 66.73 66.73 66.80 66.87 66.93 67.07 67.13 67.33 67.33 67.47 67.47 67.53 67.60 67.60 67.67 67.80 68.00 68.07 68.60 68.67 68.67 68.67 68.73 68.80 68.80 68.87 69.00 69.53 69.60 69.60 69.87 69.93 70.00 70.07 70.07 70.33 70.47 70.67 70.67 70.73 70.73 70.73 70.73 70.80 70.80 71.07 71.33 71.47 71.53 71.67 71.67 72.07 72.73 72.73 72.87 73.00
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R Code
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')
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Big Analytics Cloud Computing Center
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