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Data X:
-276.5630764 -309.7172083 -301.5787285 -289.7876045 -285.8064194 -272.3723775 -274.5486996 -290.811495 -287.5922551 -278.7393985 -308.4362357 -245.5757528 -273.567727 -306.8028315 -293.6973308 -299.1214338 -286.2398235 -279.9537753 -283.1920426 -311.9840167 -283.3920426 -300.7167832 -309.9696399 -254.4476369 -283.3110699 -310.9506125 -314.3888798 -307.2313726 -286.3683646 -294.3878171 -292.9544129 -318.670065 -294.4783034 -301.0738654 -316.122284 -269.072165 -291.4590635 -307.0694273 -325.1275722 -307.0933178 -281.5586384 -301.5406737 -305.4408863 -298.9262969 -313.5127703 -296.8928927 -309.1459619 -271.1391859 -278.8776657 -311.1603387 -309.7649893 -280.3157205 -271.1009186 -265.4148703 -269.8055692 -289.963714 -272.719946 -269.2387608 -290.8017688 -253.2140201
Data Y:
0.641206195 1.152989044 0.662539632 0.31020378 0.355458084 0.388840746 0.419783966 0.629245762 0.284021056 0.172149415 0.148228548 -0.237253186 0.11502347 0.631566814 0.557808734 0.626835917 0.672119817 0.793571644 0.934035854 1.286312511 0.934035854 0.853018641 0.364890282 -0.730142041 -0.670724641 -0.230349223 0.010114988 0.024426071 -0.135020926 0.060188981 -0.056472752 0.064860685 -0.137430771 -0.261262845 -0.473223278 -0.761144455 -0.582655477 -0.585094919 -0.449450399 -0.766052938 -0.782625879 -0.227939378 -0.177954176 -0.649361607 -0.770843031 -1.26602334 -0.804166498 -0.177835787 0.012613625 0.017255731 -0.808926994 -1.496907365 -1.218299997 -0.396848171 0.255517278 0.691161799 0.276939507 -0.077806189 0.281640808 0.303211024
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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