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Data:
0.552514900 -0.415233631 -0.443505270 -0.269121643 -0.008403113 0.067701517 -0.001956584 0.192909884 -0.267874375 -0.226255248 -0.430298473 -0.638100667 -0.479124765 -1.024474510 -0.348637834 -0.393955343 0.358931095 0.063381185 0.238243996 0.250678752 -0.487515927 -0.225775256 -0.885760418 -0.830655282 0.296897628 -0.344915585 -0.133869039 -0.139756916 0.014602114 0.011865030 0.255115762 0.226820722 -0.309023585 -0.151618802 -0.531858288 -0.429638741 -0.965975558 -1.301831527 0.137422114 0.148700147 0.044143121 0.226631056 0.330163975 0.517790690 -0.011123165 -0.416908592 -0.381488696 -0.031884958 -0.414393439 -0.911095332 -0.457371141 -0.266401460 -0.263471321 -0.134106783 0.055333648 -0.039713557 -0.285383350 -0.167483970 -0.890023318 -0.973150900 -0.185793746 -1.183720382 0.419787663 -0.220470559 0.002758416 0.094605253 -0.203747577 -0.370446898 -0.384431401 -0.050166061 -1.027647092 -0.821409393 -1.373356682 -1.691725416 -0.521561774 -0.449977604 -0.090629713 0.011651815 0.913398739 -0.271811435 -0.168925538 -0.213969528 -0.663331231 -0.668861966 -0.045192980 -0.304069160 -0.190343886 0.074887422 -0.225243865 -0.167614301 -0.135891117 -0.289021535 -0.454125093 -0.337581704 -0.472963398 -1.083843021
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
(?)
# 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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