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Data X:
-19.01732108 -18.11732108 -17.49575435 -17.89575435 -17.79575435 -16.54229207 -16.04229207 -16.44229207 -15.79314313 -15.39314313 -15.39314313 -17.61085106 -17.51085106 -18.31085106 -16.67850097 -16.17850097 -16.17850097 -15.39529981 -15.99529981 -15.59529981 -15.42935203 -15.72935203 -15.82935203 -19.06215667 -19.46215667 -19.66215667 -17.01255319 -16.91255319 -17.31255319 -16.59961315 -16.59961315 -16.59961315 -17.98497099 -17.98497099 -17.98497099 -18.01686654 -17.81686654 -17.01686654 -15.02288201 -14.82288201 -14.42288201 -13.50562863 -12.70562863 -13.00562863 -11.18837524 -10.48837524 -10.38837524 -14.39575435 -14.29575435 -14.99575435 -15.16556093 -15.66556093 -16.26556093 -17.28281431 -18.58281431 -18.48281431 -18.90608317 -19.70608317 -20.40608317
Data Y:
2.382678917 2.382678917 1.104245648 1.104245648 1.104245648 0.95770793 0.95770793 0.95770793 2.506856867 2.506856867 2.506856867 0.589148936 0.589148936 0.589148936 3.421499033 3.421499033 3.421499033 2.304700193 2.304700193 2.304700193 0.170647969 0.170647969 0.170647969 -3.762156673 -3.762156673 -3.762156673 -0.512553191 -0.512553191 -0.512553191 -1.099613153 -1.099613153 -1.099613153 -3.084970986 -3.084970986 -3.084970986 -0.716866538 -0.716866538 -0.716866538 -1.622882012 -1.622882012 -1.622882012 -0.305628627 -0.305628627 -0.305628627 -1.488375242 -1.488375242 -1.488375242 1.604245648 1.604245648 1.604245648 -2.265560928 -2.265560928 -2.265560928 0.417185687 0.417185687 0.417185687 0.193916828 0.193916828 0.193916828
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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36
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Chart options
Label y-axis:
Label x-axis:
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) x <- as.ts(x) y <- as.ts(y) mylm <- lm(y~x) cbind(mylm$resid) library(lattice) bitmap(file='pic1.png') plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic1a.png') plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic1b.png') plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]') grid() dev.off() bitmap(file='pic1c.png') plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic2.png') hist(mylm$resid,main='Histogram of e[t]') dev.off() bitmap(file='pic3.png') if (par1 > 0) { densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t] bw = ',par1),bw=par1) } else { densityplot(~mylm$resid,col='black',main='Density Plot of e[t]') } dev.off() bitmap(file='pic4.png') qqnorm(mylm$resid,main='QQ plot of e[t]') qqline(mylm$resid) grid() dev.off() if (par2 > 0) { bitmap(file='pic5.png') acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function') grid() dev.off() } summary(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'c',1,TRUE) a<-table.element(a,mylm$coeff[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'b',1,TRUE) a<-table.element(a,mylm$coeff[[2]]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'# observations',header=TRUE) a<-table.element(a,length(mylm$resid)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'minimum',header=TRUE) a<-table.element(a,min(mylm$resid)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q1',header=TRUE) a<-table.element(a,quantile(mylm$resid,0.25)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(mylm$resid)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(mylm$resid)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q3',header=TRUE) a<-table.element(a,quantile(mylm$resid,0.75)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'maximum',header=TRUE) a<-table.element(a,max(mylm$resid)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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