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Data X:
745.52 1962.64 2092.88 2034.73 568.28 1482.67 1282.26 1534.16 1621.42 1465.32 1373.15 1386.28 756.10 1359.02 1600.69 1299.97 161.31 622.74 552.60 570.36 806.43 1212.24 1806.54 1433.47 543.97 1453.00 1795.89 1608.99 484.29 1541.01 1094.14 1412.93 1612.35 1309.29 1626.17 874.45 794.25 1416.23 1575.25 1255.68 -787.86 1038.52 934.94 581.78 1069.98 1104.77 1152.28 880.48 169.49 953.93 1009.01 297.91 259.98 1164.90 924.60 840.77 1042.04 1026.08 637.53 1338.82
Data Y:
-6835.58 -8091.96 -7994.72 -8159.67 -8675.12 -7545.83 -8002.34 -9158.94 -8084.08 -7350.48 -8140.15 -5988.62 -7288.80 -8371.28 -7884.61 -9077.73 -9559.79 -8916.76 -8863.60 -10697.64 -8544.77 -8832.06 -9371.06 -7300.63 -8533.03 -9145.60 -9176.81 -9285.81 -8384.11 -8968.39 -8691.86 -9640.87 -8577.85 -9148.81 -9449.63 -8187.95 -7930.75 -9174.37 -10376.75 -10235.42 -9606.76 -10859.78 -11019.26 -11201.82 -11100.12 -9810.93 -11917.02 -9531.82 -9621.01 -10477.57 -10983.99 -9619.59 -8091.42 -8208.30 -7846.90 -8597.63 -8007.56 -7471.42 -9044.47 -7585.88
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
view raw input (R code)
Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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