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Data X:
24710.92 23983.59 24434.12 23939.23 24290.02 24117.63 23724.64 22989.44 23716.86 25058.83 25059.00 23579.18 24209.03 24173.67 24706.39 24522.12 24766.15 25940.04 24985.78 24788.00 26544.56 28019.08 27285.71 29161.16 28357.73 27979.91 27543.95 27397.53 27623.59 27736.07 27803.79 27779.55 27524.13 27582.72 28638.95 28825.78 30132.61 29326.85 29075.62 28230.63 28118.36 28173.29 27396.91 24578.55 24504.77 27582.37 26920.31 25426.68 25390.80 25041.16 22769.42 22921.89 26267.63 27364.67 28382.59 29132.81 28214.51 28865.73 24405.35
Data Y:
2180995.35 2191117.36 2219483.98 2217992.79 2209675.04 2204327.56 2217758.16 2218743.78 2231760.73 2242745.96 2269344.45 2277708.79 2281332.03 2293500.47 2319792.57 2320736.30 2303874.92 2291488.94 2299751.72 2313222.41 2314078.67 2325555.72 2353668.83 2363959.25 2366135.50 2388164.24 2415043.36 2411619.15 2400100.64 2398536.15 2404054.33 2421077.90 2430396.04 2445739.91 2484702.11 2499887.85 2506371.60 2526847.52 2551947.88 2549403.15 2533567.74 2529577.21 2541049.08 2547421.64 2555613.49 2566290.53 2580919.67 2587978.57 2580098.72 2579086.96 2592127.50 2586944.73 2548600.43 2516994.05 2500125.23 2493360.56 2475571.42 2460157.93 2467502.24
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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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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