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Data:
9 24 14 11 12 24 26 9 25 11 7 8 25 23 9 17 6 17 8 30 25 9 18 12 10 8 19 23 9 18 8 12 9 22 19 9 16 10 12 7 22 29 10 20 10 11 4 25 25 10 16 11 11 11 23 21 10 18 16 12 7 17 22 10 17 11 13 7 21 25 10 23 13 14 12 19 24 10 30 12 16 10 19 18 10 23 8 11 10 15 22 10 18 12 10 8 16 15 10 15 11 11 8 23 22 10 12 4 15 4 27 28 10 21 9 9 9 22 20 10 15 8 11 8 14 12 10 20 8 17 7 22 24 10 31 14 17 11 23 20 10 27 15 11 9 23 21 10 34 16 18 11 21 20 10 21 9 14 13 19 21 10 31 14 10 8 18 23 10 19 11 11 8 20 28 10 16 8 15 9 23 24 10 20 9 15 6 25 24 10 21 9 13 9 19 24 10 22 9 16 9 24 23 10 17 9 13 6 22 23 10 24 10 9 6 25 29 10 25 16 18 16 26 24 10 26 11 18 5 29 18 10 25 8 12 7 32 25 10 17 9 17 9 25 21 10 32 16 9 6 29 26 10 33 11 9 6 28 22 10 13 16 12 5 17 22 10 32 12 18 12 28 22 10 25 12 12 7 29 23 10 29 14 18 10 26 30 10 22 9 14 9 25 23 10 18 10 15 8 14 17 10 17 9 16 5 25 23 10 20 10 10 8 26 23 10 15 12 11 8 20 25 10 20 14 14 10 18 24 10 33 14 9 6 32 24 10 29 10 12 8 25 23 10 23 14 17 7 25 21 10 26 16 5 4 23 24 10 18 9 12 8 21 24 10 20 10 12 8 20 28 10 11 6 6 4 15 16 10 28 8 24 20 30 20 10 26 13 12 8 24 29 10 22 10 12 8 26 27 10 17 8 14 6 24 22 10 12 7 7 4 22 28 10 14 15 13 8 14 16 10 17 9 12 9 24 25 10 21 10 13 6 24 24 10 19 12 14 7 24 28 10 18 13 8 9 24 24 10 10 10 11 5 19 23 10 29 11 9 5 31 30 10 31 8 11 8 22 24 10 19 9 13 8 27 21 10 9 13 10 6 19 25 10 20 11 11 8 25 25 10 28 8 12 7 20 22 10 19 9 9 7 21 23 10 30 9 15 9 27 26 10 29 15 18 11 23 23 10 26 9 15 6 25 25 10 23 10 12 8 20 21 10 13 14 13 6 21 25 10 21 12 14 9 22 24 10 19 12 10 8 23 29 10 28 11 13 6 25 22 10 23 14 13 10 25 27 10 18 6 11 8 17 26 10 21 12 13 8 19 22 10 20 8 16 10 25 24 10 23 14 8 5 19 27 10 21 11 16 7 20 24 10 21 10 11 5 26 24 10 15 14 9 8 23 29 10 28 12 16 14 27 22 10 19 10 12 7 17 21 10 26 14 14 8 17 24 10 10 5 8 6 19 24 10 16 11 9 5 17 23 10 22 10 15 6 22 20 10 19 9 11 10 21 27 10 31 10 21 12 32 26 10 31 16 14 9 21 25 10 29 13 18 12 21 21 10 19 9 12 7 18 21 10 22 10 13 8 18 19 10 23 10 15 10 23 21 10 15 7 12 6 19 21 10 20 9 19 10 20 16 10 18 8 15 10 21 22 10 23 14 11 10 20 29 10 25 14 11 5 17 15 10 21 8 10 7 18 17 10 24 9 13 10 19 15 10 25 14 15 11 22 21 10 17 14 12 6 15 21 10 13 8 12 7 14 19 10 28 8 16 12 18 24 10 21 8 9 11 24 20 10 25 7 18 11 35 17 10 9 6 8 11 29 23 10 16 8 13 5 21 24 10 19 6 17 8 25 14 10 17 11 9 6 20 19 10 25 14 15 9 22 24 10 20 11 8 4 13 13 10 29 11 7 4 26 22 10 14 11 12 7 17 16 10 22 14 14 11 25 19 10 15 8 6 6 20 25 10 19 20 8 7 19 25 10 20 11 17 8 21 23 10 15 8 10 4 22 24 10 20 11 11 8 24 26 10 18 10 14 9 21 26 10 33 14 11 8 26 25 10 22 11 13 11 24 18 10 16 9 12 8 16 21 10 17 9 11 5 23 26 10 16 8 9 4 18 23 10 21 10 12 8 16 23 10 26 13 20 10 26 22 10 18 13 12 6 19 20 10 18 12 13 9 21 13 10 17 8 12 9 21 24 10 22 13 12 13 22 15 10 30 14 9 9 23 14 10 30 12 15 10 29 22 10 24 14 24 20 21 10 10 21 15 7 5 21 24 10 21 13 17 11 23 22 10 29 16 11 6 27 24 10 31 9 17 9 25 19 10 20 9 11 7 21 20 10 16 9 12 9 10 13 10 22 8 14 10 20 20 10 20 7 11 9 26 22 10 28 16 16 8 24 24 10 38 11 21 7 29 29 10 22 9 14 6 19 12 10 20 11 20 13 24 20 10 17 9 13 6 19 21 10 28 14 11 8 24 24 10 22 13 15 10 22 22 10 31 16 19 16 17 20
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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Big Analytics Cloud Computing Center
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