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Data:
-253620.7163 -253620.7159 -253620.7233 -253620.7243 -253620.7258 -253620.7064 -253620.6958 -253620.7026 -253620.7355 -253620.7667 -253620.7818 -253620.7863 -253620.7982 -253620.8038 -253620.8064 -253620.8138 -253620.8019 -253620.787 -253620.7796 -253620.7905 -253620.7979 -253620.8226 -253620.8252 -253620.8287 -253620.8388 -253620.8461 -253620.8491 -253620.8434 -253620.8385 -253620.8209 -253620.8082 -253620.8157 -253620.8165 -253620.8425 -253620.8394 -253620.849 -253620.8572 -253620.8623 -253620.8626 -253620.8601 -253620.8542 -253620.8306 -253620.8194 -253620.8196 -253620.8225 -253620.8002 -253620.8126 -253620.8174 -253620.8279 -253620.8331 -253620.8351 -253620.8386 -253620.8358 -253620.8127 -253620.7991 -253620.8003 -253620.8107 -253620.836 -253620.8447 -253620.8474 -253620.8421 -253620.8557 -253620.8656 -253620.8736 -253620.8723 -253620.8482 -253620.8221 -253620.8074 -253620.8392 -253620.8501 -253620.8633 -253620.8639 -253620.8763 -253620.8824 -253620.8766 -253620.8842 -253620.8831 -253620.8414 -253620.8121 -253620.7968 -253620.833 -253620.8571 -253620.8655 -253620.8789 -253620.8802 -253620.8887 -253620.8821 -253620.8922 -253620.8791 -253620.8546 -253620.8289 -253620.8113 -253620.8628 -253620.8948 -253620.9221 -253620.942 -253620.9616 -253620.9751 -253620.9958 -253621.0016 -253621.0021 -253620.9886 -253620.9561
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) 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')
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Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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