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Data:
9.21658481064732e-06 -0.00029788936701127 -0.000237595445619398 0.000176386639516741 -0.000354517420077153 -0.000704448564633498 0.000513049322447122 -0.000153768338800356 -0.000165495788075780 0.000140072526121174 0.000346620687208592 0.000161916908058288 -0.000165099254299721 -1.69432824053433e-06 -0.000354149939969856 -0.000342774975550734 -4.96908925173395e-06 0.000111232688614015 -5.71770531287065e-05 -0.000121692129730065 0.000224672210051711 -0.000246864010604340 0.000322726843768265 -4.30529292240296e-05 -0.000418419406504748 -0.000378004975610374 -3.24021390863647e-05 -2.7363752224343e-05 -0.000183622849538695 9.90770631009303e-05 0.000173737572911515 -0.000202839888158976 -0.000286608152931299 4.11099519259386e-05 3.30589617581101e-05 -0.00050937217008082 -1.86226730255005e-05 -0.000118364395817495 -0.000351397442503670 -0.000205285906638802 -0.000344501241171445 4.54893857804128e-05 0.000109739140624292 -2.35892220696581e-05 -0.000303095753286898 0.000127032893461342 0.000362429017832127 9.35340989467158e-05 0.00092306316611607 -2.51463122583867e-05 -4.81959851185288e-06 -0.000551396477544085 0.000275472153350846 4.66854128330299e-05 -0.000300923258584334 -0.000370178149715601 7.01982462032013e-06 0.00042811187175734 -0.000220158172407577 0.000276271760846798 -0.000249130118572832
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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R Server
Big Analytics Cloud Computing Center
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