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100.00 102.83 109.50 115.91 107.94 110.86 118.89 123.38 113.33 116.38 122.04 125.47 115.62 117.91 122.40 125.05 114.18 114.74 120.63 123.68 112.84 115.64 122.32 124.59 116.33 117.45 125.64 128.38 119.87 121.22 128.98 131.35 121.35 123.72 131.06 134.55 125.93 128.90 136.19 140.34 130.48 134.68 141.05 145.44 136.21 139.85 147.13 151.44 143.62 148.55 153.54 159.79 152.55 155.84 160.38 164.22 156.40 160.05 165.60 171.15 161.90 167.21 171.34 176.83 166.27 172.30 176.71 182.99 172.07 178.17 182.20 188.49 176.88 182.13 185.32 192.86 180.27 184.92 187.82 194.94 184.36 188.80 193.42 199.76 188.78 191.49 194.87 198.28 183.24 204.87
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R Code
library(MASS) par1 <- as.numeric(par1) if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) x <- as.ts(x) #otherwise the fitdistr function does not work properly r <- fitdistr(x,'normal') r bitmap(file='test1.png') myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$estimate[1]) a<-table.element(a,r$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,r$estimate[2]) a<-table.element(a,r$sd[2]) 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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