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Data:
-0.361846008 3.688630989 0.682519663 7.630677317 -1.520750372 5.709555811 13.19399289 -5.499403235 1.765004446 1.966771424 -5.606629228 -7.316460132 -1.085635488 -0.099103421 -9.395143137 -6.394477758 -2.028054732 0.903602089 7.574914695 -2.194073114 3.588988337 -1.689512745 -1.536711577 13.35988864 -3.657266579 0.613493187 9.245069082 11.02857389 -3.498937483 -6.558501638 5.547507441 16.50058086 -0.086799987 -10.18955267 -1.560021462 3.617917744 -3.462280269 -0.839719034 -1.748440636 -5.592754533 -4.310835097 8.287789898 -14.06766028 -4.075788814 3.957941212 -2.544048762 24.35551605 11.7342693 3.819444847 -2.981767666 7.455516057 -6.392451584 11.70031556 2.360276115 -7.484426962 -2.541115306 -2.305074093 10.85502019 -2.113319896 3.408689587 11.20036059 -1.205378679 5.817868207 -2.611502028 -1.540083494 -5.421451515 11.6034074 -9.067891771
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
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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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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