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Data:
-141.2287279 -141.230722 -141.2172894 -141.2104839 -141.2001724 -141.2040836 -141.2031403 -141.2045615 -141.1880837 -141.1839868 -141.193004 -141.2048387 -141.1981816 -141.1991198 -141.1565811 -141.1556129 -141.1601728 -141.1743647 -141.1772293 -141.188313 -141.1623971 -141.1607155 -141.1587452 -141.1776536 -141.163746 -141.166588 -141.1444941 -141.1433699 -141.1384494 -141.1544543 -141.1713729 -141.1657041 -141.1523934 -141.155654 -141.1433398 -141.1622093 -141.1648542 -141.1549135 -141.130699 -141.1288856 -141.1375336 -141.1405138 -141.1471479 -141.1514467 -141.1347962 -141.1366417 -141.1294108 -141.1391333 -141.1511177 -141.151962 -141.1382373 -141.1249875 -141.1265371 -141.1441258 -141.1461183 -141.1592105 -141.1470305 -141.144499 -141.1293629 -141.143799 -141.1416626 -141.1369528 -141.1255995 -141.114666 -141.0940851 -141.1230372 -141.1141902 -141.1217537 -141.1123827 -141.1082666 -141.1159782 -141.120065 -141.1219308 -141.1200884 -141.1062168 -141.1001828 -141.0874942 -141.0565963 -141.0460604 -141.0370362 -140.9956085 -140.9820963 -140.9961557 -140.9890413 -141.0038462 -140.9933328 -140.9792605 -140.9645319 -140.9691655 -140.9805655
Sample Range:
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From:
To:
bandwidth of density plot
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# lags (autocorrelation function)
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Chart options
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) x <- as.ts(x) library(lattice) bitmap(file='pic1.png') plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic2.png') hist(x) grid() dev.off() bitmap(file='pic3.png') if (par1 > 0) { densityplot(~x,col='black',main=paste('Density Plot bw = ',par1),bw=par1) } else { densityplot(~x,col='black',main='Density Plot') } dev.off() bitmap(file='pic4.png') qqnorm(x) qqline(x) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot1.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main='Lag plot (k=1), lowess, and regression line') lines(lowess(z)) abline(lm(z)) dev.off() if (par2 > 1) { bitmap(file='lagplotpar2.png') dum <- cbind(lag(x,k=par2),x) dum dum1 <- dum[(par2+1):length(x),] dum1 z <- as.data.frame(dum1) z mylagtitle <- 'Lag plot (k=' mylagtitle <- paste(mylagtitle,par2,sep='') mylagtitle <- paste(mylagtitle,'), and lowess',sep='') plot(z,main=mylagtitle) lines(lowess(z)) dev.off() } bitmap(file='pic5.png') acf(x,lag.max=par2,main='Autocorrelation Function') grid() dev.off() } summary(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'# observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'minimum',header=TRUE) a<-table.element(a,min(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q1',header=TRUE) a<-table.element(a,quantile(x,0.25)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q3',header=TRUE) a<-table.element(a,quantile(x,0.75)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'maximum',header=TRUE) a<-table.element(a,max(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
Compute
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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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