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Data:
17 19 18 17 17 19 19 12 15 16 16 14 15 16 14 18 15 18 19 15 17 9 18 17 15 13 17 14 15 14 17 14 13 19 15 14 11 16 13 15 17 15 12 15 15 8 16 12 13 16 16 8 14 15 16 16 17 18 9 19 14 14 15 19 12 17 16 17 15 11 8 16 20 20 13 11 15 15 14 16 15 15 16 19 20 14 16 14 11 16 16 15 16 12 13 11 20 11 14 16 15 13 15 13 17 18 14 13 12 17 6 9 15 15 17 19 20 10 9 15 16 16 9 10 9 17 17 19 10 12 9 11 17 9 14 19 17 13 11 14 7 17 16 12 10 10 8 18 15 18 14 16 11 16 17 20 14 16 17 11 13 11 8 9 9 12 15 18 10 15 16 18 15 17 17 14 17 13 16 12 17 10 9 15 14 16 17 18 14 17 14 15 14 10 9 12 13 14 18 15 14 10 9 17 12 16 11 13 12 15 15 10 16 11 14 17 16 16 11 16 13 7 13 14 14 9 15 16 11 20 14 9 16 13 15 15 15 15 14 15 13 12 17 8 17 10 9 9 15 14 12 16 19 6 11 16 12 12 8 11 8 12 16 18 16 15 20 10 15 14 14 8 19 17 18 10 15 16 12 13 10 14 15 20 9 12 13 16 12 14 15 19 16 16 14 14 14 13 18 15 15 15 13 14 15 14 19 16 16 12 10 11 13 14 11 11 16 9 16 19 13 15 14 15 11 14 15 17 16 13 15 14 15 14 12 12 15 17 13 5 7 10 15 9 9 15 14 11 18 20 20 16 15 14 13 18 14 12 9 19 13 12 14 6 14 11 11 14 12 19 13 14 17 12 16 15 15 15 16 15 12 13 14 17 14 14 14 15 11 11 16 12 12 19 18 16 16 13 11 10 14 14 14 16 10 16 7 16 15 17 11 11 10 13 14 13 13 12 10 15 6 15 15 11 14 14 16 12 15 20 12 9 13 15 19 11 11 17 15 14 15 11 12 15 16 16
Sample Range:
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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) print(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) print(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
1 seconds
R Server
Big Analytics Cloud Computing Center
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