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Data:
-0.0554261742134966 -0.0103723682328288 -0.09774824332988 0.0682838841648196 -0.0598771056498073 -0.0115369164551084 0.0737440480162446 0.0652896783949673 0.0212699541543462 -0.00207374705171083 0.110078189837195 -0.0146254989919655 0.114698886599707 0.122494579401249 -0.093917668042089 0.317437918041701 0.0233064257137833 0.0907672748631918 0.137726863879236 0.0413595313391135 0.0478723668655492 0.0876104346350919 0.0384005884923821 0.0522380787977494 0.0585774158784047 -0.0318052895741221 -0.181701157975095 0.312417016566173 -0.161245884995846 -0.0498906070653545 0.0164895011305049 -0.106532442482812 -0.0111252289051036 -0.0112051724184589 -0.0621266808603795 -0.0194747117256815 -0.005215993087672 0.00868532947685446 0.0189643082939415 0.132126779126779 0.114222267764316 -0.0512424762283885 0.111763287181735 -0.0727789247238114 0.099056920984902 -0.0133229962434981 -0.0540901157284234 0.0131003534096119 -0.105083618822970 -0.0532746009105622 -0.152603426068890 0.169880388606489 -0.134937086209412 -0.156403695781353 0.0220625418036537 -0.122447540039379 -0.147301939947001 0.124893101691225 -0.0981932532160595 -0.0338473507167997 0.120285012723111 0.0619113501360601 -0.127397173085151 0.295513148096302 -0.00395731088007977 -0.134137032646724 0.0800913155281188 0.0420046126531497 0.061555085014176 -0.0129403767474939 0.0972860535162994 0.0877108066588468 -0.0356206200854371 0.0505485461316185 -0.131893718779630 0.343673596883514 -0.00930805173243436 -0.244200397859937 -0.054917088296814 0.0337991899193833 -0.0441366211382616 -0.0401696208416182 0.0586113053187203 -0.0362167322426645 0.0214944435265415 -0.0394242009278998 -0.219189486789616 -0.038750207606925 -0.305953588706861 -0.160680743573754 -0.129309183705573 -0.175325132712971 -0.285383831304565 -0.182559850590123 -0.224103473978491 0.0611619478196247 -0.253257239400946 -0.0667794801013696 -0.0203659156623685 0.0390230291850474 -0.362690960075248 0.0333119163149927 -0.0749260168888494 -0.310091538794336 -0.313174314082963 -0.0446943832910636 0.0884651538474875 0.148008967470383 -0.0581099037570537 -0.265335985463967 -0.142815914648150 -0.0634276688751165 0.301971033848160 0.509200438595075 -0.226853203690718 0.132746336473417 0.113478705894465 -0.0714550273266129 0.107207329251342 -0.070724916726179 -0.0351999533754058 0.0397456022551489 0.211380404750537 -0.349347916179288 0.270214046482663 0.281727228579061 0.0814427167227327 0.0585457504519322 0.131338788505694 0.0584680902381685 0.0145094042468520 0.131142061479022 -0.118748120650334 0.161971940232045 0.217140021180596 -0.36075238703227 0.112369257289203 0.177091978202189 0.0560949481137286 0.141966781350567 0.238943521016553 -0.0169617673898806 -0.217034348244890 -0.386510308927318 0.119169209082527 0.239427960434481 0.619747125797162 -0.229810610454884 0.0509120935252796 -0.212011167464921 -0.0887441758042202 0.216923527514844 -0.0205975632055718 0.047788699609204 0.031052755829211 -0.0774958020653822 0.210654616027303 -0.0984341615804984 0.232160736649630 -0.318032671100063 0.0466865439469646 -0.0217807544657625 0.0373144926595483 0.0649938009681715 0.108204156147779 0.0766226157267711 0.109937091688754 0.145533105760753 0.0217820395557200 -0.119359221276209 -0.131759892290998 -0.318234299422278 0.118288319679319 -0.0502150450132071 -0.0419800466493269 -0.0104536303122343
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 Input
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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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