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Data:
-0.103395775413547 -0.102119071477734 -0.0818766243906285 -0.0119800214843379 -0.0186348038511091 0.0171247716603502 0.0449528608692251 0.0317466932293922 0.0440576540139132 0.0960227706176194 0.0383337314021404 -0.0314238215107543 -0.0235957323018794 -0.0157676430930045 0.0351632166619939 0.0309227921734532 0.0177166245336203 0.0320960990155569 0.0354413166487858 0.0387865342820146 0.0186831371883051 -0.0124545167541122 -0.021177812818299 -0.0288668520337780 -0.0589702491274875 -0.0466592883429665 -0.0288311991340916 -0.00100310992521664 0.0244106214054278 0.0322387106143028 0.0500667998231777 0.0434120174564065 0.0502058498165736 0.0338969116306172 0.0831051018690146 0.00989893422918181 -0.0143414902593589 -0.0220305294748379 -0.0683394676607944 0.0460400068211422 0.088696811786478 0.107905002024876 0.100215962809397 0.0156296941400409 -0.0220593450754381 -0.0456113568960858 -0.0695092128975482 -0.154095481566904 -0.153164621811905 -0.144302275754323 -0.0947515170288468 -0.0724405562443258 -0.0249583112162656 0.0570068053874405 0.0834547935667928 0.0561115985321286 0.0604910730140652 0.0328020337985862 0.0209759671882759 -0.00774732887591092 0.00249511821119445
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')
Compute
Summary of computational transaction
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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