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Data:
0.00104880818960712 0.0416160237419096 -0.0338499782241214 0.0353477892933573 0.087601565487602 0.0565373386741089 0.0120357360156818 0.109211462484433 -0.0467548292693616 -0.0465986074252235 -0.0478086219839781 -0.0101776267295282 -0.0043444235187697 0.0115505520830002 0.0294726346431616 -0.0207464694183992 -0.108742331006367 -0.0120541869010857 -0.0977511153454226 0.0104209411511253 -0.0182809554748909 -0.0146226109233279 0.0809771178310232 0.104096768554553 -0.11004943586931 0.0177235034682988 0.148210643003007 0.0159858215388215 -0.080339589560197 0.0189713879536482 -0.195098794528279 0.271426377338088 -0.0447053363491143 -0.00449205682122399 -0.0121206813775077 0.0971613701360345 -0.0114377411716324 0.00464166912282404 -0.0454225447763135 0.107954973702707 0.0595510227798072 0.0543451738129008 0.082213129590084 0.0571745201054981 0.0879669789090777 0.08422144556691 0.0555620924821564 -0.0108013119613106 -0.0098776288544526 0.0743397524570958 -0.0540211156612181 -0.163141470530824 -0.00914630787384997 -0.00232652637852616 -0.000923044690914167 -0.0678801079101023 -0.0715163050846508 -0.111662424475099 -0.0533783220931399 -0.00129906864325586 -0.0304997722677595
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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