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Data X:
14836.775 4362.995 -4002.335 -1812.115 847.995 -1406.675 -4893.455 -8497.335 -9477.105 -4271.775 24414.115 33009.335 33054.555 37817.565 26184.895 25413.225 21611.225 20980.895 19480.345 12208.675 8744.005 13570.565 43565.345 47787.345 46298.235 32359.005 22631.895 24020.565 21922.895 17815.115 9175.885 6032.555 6020.335 8397.665 35700.995 41018.995 32444.435 13947.435 1575.105 -2651.005 -2245.115 -8832.225 -17035.225 -20944.225 -29913.675 -31604.675 2188.215 8149.545 -7346.895 -15975.665 -24040.435 -22757.655 -20422.095 -26004.205 -30769.085 -33706.865 -40292.965 -31693.625 -1712.735 1714.815 -12289.295 -24404.415 -34307.655 -30919.105 -28222.775 -28942.335 -33556.905 -34260.905 -43434.805 -37319.035 -9341.375 3.635
Data Y:
523.568 -3273.144 -10414.076 -6902.788 -2897.144 -4727.212 -8504.924 -9664.076 -9522.584 -11281.652 11711.704 18606.992 18669.28 20458.484 12320.416 11765.348 10978.348 12736.416 13642.196 6972.128 2179.06 2409.484 25864.196 29791.196 31499.552 23225.06 17110.416 20072.484 15823.416 14852.704 7120.212 7283.28 7607.992 2783.924 19491.856 20415.856 19612.432 5818.432 -1078.5 -4449.144 -681.788 -4945.432 -13923.432 -15768.432 -26036.212 -36721.212 -12942.856 -12288.924 -16241.5 -16101.008 -19161.516 -14289.804 -10476.38 -13384.024 -16588.176 -17771.888 -23359.328 -18508.192 3181.164 608.384 -161.26 -6787.108 -15131.804 -8601.584 -1830.652 -180.076 -3207.704 -2290.704 -14767.264 -14364.756 2786.108 11306.312
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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