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Data X:
124.06 124.58 122.00 124.02 124.16 124.29 123.93 124.62 121.81 124.14 124.31 125.15 125.35 125.48 124.17 125.33 124.46 123.39 123.14 122.24 119.31 120.87 120.43 119.41 118.85 119.08 117.25 118.51 118.42 118.56 117.97 117.98 115.25 117.23 117.08 116.83 117.17 117.73 115.74 116.99 116.90 116.49 115.84 115.92 113.32 114.84 114.75 114.84 115.03 115.03 112.99 114.15 113.77 113.57 113.38 112.71 110.27 111.73 112.12 112.31 111.73 111.83 109.99 111.15 111.25 110.87 110.27 110.18 108.15 109.60 109.60 109.41 109.80 109.60 107.76 109.02 108.62 109.02 109.22 108.92 106.69 107.76 107.66 107.85 107.95 107.85 106.30 107.37 107.66 107.46 107.37 107.18 105.43 106.39 106.50 106.50 106.69 106.50 105.14 106.50 106.20 105.72 104.76 104.55 102.71 104.36 104.65 104.46 104.65 103.88 102.32 103.39 103.00 102.71 102.51 102.04 100.00
Data Y:
241.66 251.25 230.26 240.91 211.20 188.19 177.01 167.85 174.03 170.09 203.42 254.97 342.84 386.29 440.51 433.58 408.13 370.32 355.51 332.62 314.62 301.73 306.31 282.98 266.48 249.97 259.87 246.24 238.36 238.04 224.19 214.71 203.11 221.00 211.73 209.39 217.48 242.19 244.64 232.07 235.80 230.37 209.82 206.41 209.60 192.24 186.17 193.41 202.36 203.00 190.64 185.43 171.58 179.57 180.42 162.10 157.95 146.66 154.43 163.38 150.92 151.98 144.74 140.37 143.36 135.79 134.73 126.42 124.72 117.90 114.07 112.26 105.44 110.77 107.68 105.76 102.03 100.22 111.62 118.11 111.72 103.42 97.13 103.10 104.91 100.22 98.52 95.32 96.92 96.60 92.55 82.75 80.84 79.13 79.77 85.10 96.39 97.56 96.39 101.18 103.52 100.11 99.26 104.48 101.29 100.33 115.24 113.64 115.35 108.42 105.65 108.64 104.80 95.43 104.48 103.84 100.01
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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R Server
Big Analytics Cloud Computing Center
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