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Data:
-2.02969015 -2.029239482 -2.033801546 -2.036644359 -2.034490446 -2.032001271 -2.030699746 -2.03252381 -2.038987342 -2.040993691 -2.037075472 -2.03754865 -2.04075 -2.040945274 -2.038261272 -2.037953846 -2.0379748 -2.038783784 -2.039284837 -2.042300613 -2.040853659 -2.041885246 -2.041468447 -2.040445725 -2.037787879 -2.038293124 -2.037360024 -2.037595694 -2.038959451 -2.040858586 -2.039697509 -2.036113085 -2.038323477 -2.038952802 -2.040082547 -2.03908957 -2.040747939 -2.040328638 -2.041483324 -2.040980221 -2.040107621 -2.038953488 -2.039244186 -2.040846868 -2.040780347 -2.042795049 -2.043550058 -2.044298044 -2.044189189 -2.044576174 -2.045057143 -2.045278567 -2.047159091 -2.047747002 -2.048223235 -2.047723138 -2.048265422 -2.048072118 -2.04665247 -2.046713961 -2.043882587 -2.044426322 -2.043627451 -2.043628763 -2.044415042 -2.044977728 -2.044315526 -2.044315526 -2.044043382 -2.041325737 -2.041903441 -2.04097561 -2.042195122 -2.044078875 -2.046973612 -2.04809589 -2.046351943 -2.045496996 -2.044705882 -2.044929232 -2.046186072 -2.047930941 -2.047286801 -2.048763557 -2.052723577 -2.051019365 -2.049533762 -2.046950959 -2.045095847 -2.046538052 -2.049521277 -2.052663303 -2.050647558 -2.050437666 -2.051923077 -2.051871686 -2.049962884 -2.049825766 -2.048526316 -2.048903075 -2.050636364 -2.051165803 -2.051640827 -2.050306859 -2.048872297 -2.048329913 -2.04714982 -2.045046178 -2.045815803 -2.045025575 -2.043469388 -2.044602446 -2.043990826 -2.04098369 -2.040779817 -2.040380711 -2.038004552 -2.04 -2.039359233 -2.042455919 -2.043922457 -2.043721805 -2.04455 -2.041140089 -2.039470821 -2.040559389 -2.041977887 -2.041879607 -2.043921569 -2.043486036 -2.044574156 -2.044339853 -2.040839844 -2.042176987 -2.042019932 -2.046234867 -2.048571774 -2.050750845 -2.048840231 -2.048942308 -2.048956835 -2.048815916 -2.049736842 -2.048448111 -2.049229852 -2.046706387 -2.046615055 -2.047952381 -2.050066414 -2.047336802 -2.047961738 -2.046556604 -2.046517436 -2.047561205 -2.046263504 -2.046846298 -2.047559663 -2.04911215 -2.049727018 -2.046061453 -2.042860465 -2.044532191 -2.043863216 -2.044580452 -2.045653775 -2.041850575 -2.043297384 -2.04459193 -2.044661482 -2.043259479 -2.041000912 -2.042477314 -2.043637392 -2.042013575 -2.040843102 -2.040990991 -2.040778578 -2.043898876 -2.043470166 -2.042046168 -2.043227395 -2.044375 -2.047492226 -2.046308204 -2.045305445 -2.046736633 -2.047935982 -2.047819383 -2.049632644 -2.049688323 -2.048467777 -2.047819615 -2.04773523 -2.047263986 -2.047052402 -2.047230467 -2.049417793 -2.049381533 -2.049040887 -2.050130435 -2.048440487 -2.045294627 -2.042272727 -2.041663789 -2.040079776 -2.039377682 -2.036327095 -2.037415254 -2.033007598 -2.030537748 -2.030115789 -2.032371956 -2.032145249 -2.035259306 -2.041916667 -2.044050791 -2.04535343 -2.04698172 -2.052428453 -2.052514499 -2.056527663 -2.059528613 -2.061907895 -2.058198032
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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