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Data:
-10.699666889 -10.699356527 -10.699192080 -10.698752525 -10.698169031 -10.697950470 -10.698142302 -10.697770508 -10.697918014 -10.698649295 -10.699084164 -10.699368160 -10.699663433 -10.699432825 -10.699286811 -10.699007357 -10.698298016 -10.698108662 -10.697747259 -10.697680599 -10.698332472 -10.698193904 -10.699250121 -10.699651752 -10.699585586 -10.699207766 -10.699149678 -10.698867018 -10.698392245 -10.697883139 -10.697883724 -10.697756604 -10.698117798 -10.698781337 -10.698965351 -10.699546017 -10.699767935 -10.699685923 -10.699068980 -10.698825724 -10.698359301 -10.697654921 -10.697674141 -10.697634783 -10.698138913 -10.699086600 -10.699037681 -10.699569089 -10.699691030 -10.699417657 -10.699257760 -10.698667307 -10.698419948 -10.697942439 -10.697857143 -10.697588671 -10.697957337 -10.698608137 -10.699220368 -10.699693154 -10.699531919 -10.699744979 -10.699308025 -10.698736270 -10.698416824 -10.697741298 -10.697587518 -10.697763876 -10.697789614 -10.698299361 -10.699243552 -10.699626985 -10.699824851 -10.699731903 -10.699525016 -10.698881943 -10.698271034 -10.697853332 -10.697475579 -10.697885314 -10.697604167 -10.698228101 -10.698863494 -10.699323239 -10.699240987 -10.699253813 -10.699113573 -10.698312883 -10.698163984 -10.697744555 -10.697804722 -10.697736842 -10.698157104 -10.698749850 -10.699228325 -10.699524913
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 Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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