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Data:
63.8 46.8 -642.3 584.3 -900.8 -80.5 -122.8 847.4 -675.9 437.6 61.2 -420.3 687.2 -219.6 371.2 303.5 694.8 -125.4 904 -334.6 -952.7 1649.4 -1908.4 701.9 48.7 -68.8 -2.6 650.9 -1079.3 1095.5 -1390.7 -327.1 881.3 -902.8 568 -714.7 -522.6 -161.7 151 -1120.2 71.1 -17.6 211.9 354.7 709.6 -768.2 39.5 1090.7 -698.6 604.1 584.3 -733.5 948.5 -300.5 -83 -399.2 -282 -523.9 760.7 -151.7 -335.4 476.7 5.2 -56.1 177 -523.6 439.3 963.7 -652.2 -163.7 1544.7 -1429.2 1244.7 -363.1 -884.2 1053.3 0.3 -563.2 -1.2 -8 306.8 255 -1105.7 -104.1 524.2 280.8 -1034.7 1582 -358.6 581.9 -514 873.2 -1983.7 1732.6 -1010.5 296.8 -52.3 -793.3 1207.3 -1296.4 -1530.3 1412.6 -223.5 -892.7 1172.8 -25 363.6
Sample Range:
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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) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main=paste('Lag plot, lowess, and regression line')) lines(lowess(z)) abline(lm(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')
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R Server
Big Analytics Cloud Computing Center
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