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Data X:
12002.4 15525.5 14247.9 15000.7 14931.4 13333.7 14711.2 17197.3 14985.2 14734.4 15937.8 13028.1 13836.8 16677.5 15130 17504 16979.9 16012.5 16247.7 19268.2 15533 16803.3 17396.1 15155.4 15692.4 18063.7 17568.6 18154.3 15467.4 16956.1 16854 19396.4 16457.6 17284.5 18395.3 16938.7 16414.3 18173.4 19919.7 19623.8 17228.1 18730.3 19039.1 19413.3 20013.6 17917.2 21270.3 18766.1 16790.8 19960.6 19586.7 17179 14964.9 13918.5 14401.3 15994.6 14521.1 13746.5 15956 14332.2
Data Y:
9.482814894 9.779391507 9.735837836 9.759547896 9.694259234 9.646632087 9.71459445 9.873790941 9.760482858 9.712641768 9.806998678 9.652060261 9.633134462 9.829894832 9.773612325 9.849485329 9.751955109 9.773652178 9.779533012 9.943270608 9.756019494 9.851362333 9.929769146 9.745798119 9.73476708 9.917138947 9.90740985 9.898520236 9.741686013 9.885471229 9.853456619 9.984652707 9.843519902 9.897137433 9.974328049 9.873378799 9.819306711 9.93978573 10.01091942 9.979012378 9.770801517 9.958198251 9.964159232 9.970819045 10.00537605 9.918893273 10.0633462 9.964798997 9.819458995 10.02727033 9.999447521 9.821338879 9.687828423 9.68269748 9.70568884 9.784129527 9.701970944 9.65901183 9.78595886 9.704969538
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')
Compute
Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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