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Data X:
-355.051 -353.784 -354.293 -350.691 -350.155 -350.167 -349.02 -341.187 -348.266 -351.553 -349.377 -344.289 -343.656 -339.999 -344.7 -347.988 -347.58 -346.825 -345.237 -337.099 -350.251 -349.859 -345.32 -343.773 -341.272 -342.001 -346.253 -342.508 -337.708 -344.583 -338.033 -329.933 -338.326 -332.973 -335.128 -338.169 -334.62 -333.972 -334.277 -331.626 -333.494 -330.872 -322.131 -313.857 -322.424 -321.669 -328.637 -326.1 -320.355 -323.196 -330.737 -315.004 -318.118 -318.776 -310.722 -308.044 -323.375 -330.393 -331.46 -322.721 -355.051 -353.784 -354.293 -350.691 -350.155 -350.167 -349.02 -341.187 -348.266 -351.553 -349.377 -344.289 -343.656 -339.999 -344.7 -347.988 -347.58 -346.825 -345.237 -337.099 -350.251 -349.859 -345.32 -343.773 -341.272 -342.001 -346.253 -342.508 -337.708 -344.583 -338.033 -329.933 -338.326 -332.973 -335.128 -338.169 -334.62 -333.972 -334.277 -331.626 -333.494 -330.872 -322.131 -313.857 -322.424 -321.669 -328.637 -326.1 -320.355 -323.196 -330.737 -315.004 -318.118 -318.776 -310.722 -308.044 -323.375 -330.393 -331.46 -322.721
Data Y:
-7.941 -6.714 -11.573 -15.211 -16.665 -15.757 7.47 12.053 1.654 3.157 6.243 14.421 19.924 22.151 17.2 22.562 19.47 22.335 46.243 55.961 44.519 41.611 37.47 45.697 54.378 54.789 50.887 48.292 49.562 47.887 66.427 78.967 73.114 82.887 77.022 84.611 86.2 86.838 80.163 77.114 77.476 75.298 96.519 99.243 88.936 86.341 77.163 85.66 89.795 88.114 76.623 82.476 79.482 77.574 97.568 100.746 88.255 69.347 59.12 64.249 -7.941 -6.714 -11.573 -15.211 -16.665 -15.757 7.47 12.053 1.654 3.157 6.243 14.421 19.924 22.151 17.2 22.562 19.47 22.335 46.243 55.961 44.519 41.611 37.47 45.697 54.378 54.789 50.887 48.292 49.562 47.887 66.427 78.967 73.114 82.887 77.022 84.611 86.2 86.838 80.163 77.114 77.476 75.298 96.519 99.243 88.936 86.341 77.163 85.66 89.795 88.114 76.623 82.476 79.482 77.574 97.568 100.746 88.255 69.347 59.12 64.249
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
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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