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Data X:
90.70 89.53 90.70 90.70 89.53 87.21 82.56 80.23 82.56 84.88 87.21 84.88 80.23 76.74 77.91 77.91 80.23 82.56 83.72 82.56 81.40 79.07 81.40 84.88 88.37 93.02 94.19 91.86 90.70 90.70 91.86 93.02 93.02 93.02 93.02 94.19 97.67 100.00 98.84 98.84 98.84 98.84 98.84 98.84 98.84 98.84 97.67 98.84 98.84 100.00 97.67 98.84 97.67 96.51 96.51 96.51 100.00 103.49 103.49 100.00 93.02 90.70 90.70 96.51 98.84 100.00 98.84 97.67 96.51 95.35 94.19 94.19 94.19 94.19 94.19 95.35 95.35 94.19 91.86 90.70 88.37 88.37 88.37 88.37 86.05 84.88 84.88 86.05 86.05 86.05 86.05 84.88 82.56 76.74 72.09 72.09 75.58 76.74 75.58 72.09 70.93 72.09 74.42 77.91 79.07 79.07 81.40 79.07 80.23 80.23 81.40 80.23 81.40 83.72 87.21 89.53 91.86 94.19 97.67
Data Y:
91.46 90.24 93.90 96.34 93.90 86.59 75.61 70.73 74.39 84.15 89.02 87.80 74.39 70.73 74.39 78.05 82.93 82.93 79.27 75.61 76.83 78.05 80.49 81.71 78.05 82.93 85.37 84.15 86.59 87.80 86.59 85.37 84.15 81.71 80.49 84.15 89.02 96.34 100.00 100.00 100.00 98.78 96.34 93.90 93.90 92.68 91.46 91.46 86.59 91.46 91.46 95.12 95.12 95.12 92.68 91.46 93.90 98.78 97.56 92.68 80.49 79.27 82.93 91.46 97.56 100.00 98.78 96.34 96.34 92.68 91.46 92.68 89.02 91.46 92.68 91.46 92.68 95.12 96.34 95.12 91.46 80.49 76.83 76.83 73.17 76.83 78.05 76.83 76.83 78.05 81.71 81.71 82.93 75.61 70.73 68.29 65.85 69.51 70.73 67.07 65.85 65.85 65.85 67.07 68.29 69.51 70.73 65.85 59.76 63.41 67.07 71.95 76.83 79.27 78.05 78.05 80.49 82.93 87.80
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
(?)
# 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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0 seconds
R Server
Big Analytics Cloud Computing Center
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