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Data:
-202894.96 -203571.96 -206213.96 -206930.96 -207906.96 -205083.96 -197142.96 -195508.96 -201852.96 -209312.96 -215093.96 -215980.96 -217984.96 -219246.96 -220070.96 -222194.96 -220307.96 -217341.96 -210856.96 -212591.96 -214402.96 -220278.96 -221472.96 -222057.96 -223961.96 -225764.96 -226832.96 -225576.96 -224942.96 -220644.96 -213456.96 -214605.96 -214919.96 -222231.96 -222503.96 -224459.96 -226122.96 -227499.96 -227843.96 -227748.96 -226647.96 -220635.96 -214625.96 -213560.96 -214212.96 -208381.96 -212828.96 -213997.96 -217012.96 -218448.96 -219267.96 -220821.96 -220445.96 -214579.96 -207404.96 -207109.96 -209989.96 -217876.96 -221171.96 -221792.96 -220593.96 -224365.96 -227494.96 -229848.96 -229550.96 -223301.96 -213658.96 -209264.96 -218305.96 -223008.96 -227531.96 -228069.96 -231113.96 -233119.96 -232344.96 -234408.96 -234697.96 -225703.96 -215371.96 -211016.96 -221290.96 -227837.96 -230619.96 -233573.96 -233781.96 -236138.96 -235159.96 -237548.96 -235372.96 -229719.96 -221110.96 -216697.96 -229614.96 -237643.96 -244281.96 -249010.96 -254037.96 -257677.96 -263391.96 -265012.96 -264884.96 -261393.96 -252471.96
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
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# lags (autocorrelation function)
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Chart options
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) x <- as.ts(x) library(lattice) bitmap(file='pic1.png') plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic2.png') hist(x) grid() dev.off() bitmap(file='pic3.png') if (par1 > 0) { densityplot(~x,col='black',main=paste('Density Plot bw = ',par1),bw=par1) } else { densityplot(~x,col='black',main='Density Plot') } dev.off() bitmap(file='pic4.png') qqnorm(x) qqline(x) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot1.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main='Lag plot (k=1), lowess, and regression line') lines(lowess(z)) abline(lm(z)) dev.off() if (par2 > 1) { bitmap(file='lagplotpar2.png') dum <- cbind(lag(x,k=par2),x) dum dum1 <- dum[(par2+1):length(x),] dum1 z <- as.data.frame(dum1) z mylagtitle <- 'Lag plot (k=' mylagtitle <- paste(mylagtitle,par2,sep='') mylagtitle <- paste(mylagtitle,'), and lowess',sep='') plot(z,main=mylagtitle) lines(lowess(z)) dev.off() } bitmap(file='pic5.png') acf(x,lag.max=par2,main='Autocorrelation Function') grid() dev.off() } summary(x) 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,'# observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'minimum',header=TRUE) a<-table.element(a,min(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q1',header=TRUE) a<-table.element(a,quantile(x,0.25)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q3',header=TRUE) a<-table.element(a,quantile(x,0.75)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'maximum',header=TRUE) a<-table.element(a,max(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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