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151.7 121.3 133.0 119.6 122.2 117.4 106.7 87.5 81.0 110.3 87.0 55.7 146.0 137.5 138.5 135.6 107.3 99.0 91.4 68.4 82.6 98.4 71.3 47.6 130.8 113.6 125.7 113.6 97.1 104.4 91.8 75.1 89.2 110.2 78.4 68.4 122.8 129.7 159.1 139.0 102.2 113.6 81.5 77.4 87.6 101.2 87.2 64.9 133.1 118.0 135.9 125.7 108.0 128.3 84.7 86.4 92.2 95.8 92.3 54.3
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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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1 seconds
R Server
Big Analytics Cloud Computing Center
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