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Data X:
162.3990575 -740.4671903 620.335323 -658.1934026 -569.2571371 967.9403496 -829.8810134 -1046.154801 -673.4223055 -171.1548011 -755.8810134 -447.0147656 -599.4797568 -307.2122523 498.4565088 242.9277831 1087.730296 918.462792 -673.4923232 100.437659 349.5714113 -53.28855329 -264.0147656 970.71773 982.2527388 300.6539955 1393.991518 214.7940309 682.9277831 891.9277831 -214.358571 -121.1610843 177.641429 565.9214999 -518.1359514 -10.93218141 87.53280973 -391.8621637 558.411624 -333.7858627 -370.7795795 648.8254471 -329.664677 -83.00219913 -779.9258982 984.0803851 -241.6458272 -671.1808361 -116.5820928 343.6216772 -26.37203958 143.0292171 -254.1619864 405.6342437 -631.0533671 -770.8558804 -108.715845 -454.1108184 -363.5758095 280.5516595
Data Y:
4.737 7.302 18.190 9.585 -5.215 -325 -8.722 -8.968 -4.865 256 -6.501 -15.030 11.003 4.997 11.527 6.707 -585 7.413 -5.329 -4.067 -1.880 -1.751 -4.443 -18.995 18.270 14.437 24.234 9.792 9.288 4.784 -2.451 -4.430 -2.962 992 -7.543 -21.907 13.324 5.484 14.637 2.544 732 2.812 -3.216 -8.338 -7.438 876 -10.242 -22.632 11.009 9.413 9.499 13.906 -1.119 1.829 -5.765 -11.716 -8.062 -3.843 -16.849 -24.390
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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Raw Input
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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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