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Data:
0.00542916130943278 0.0445893441667106 -0.0137888879399847 0.0453152005372048 0.00473315051318341 -0.00629302867546508 -0.070117568265751 -0.0217843333183126 -0.0095666262457008 0.0165637840451361 0.00824993070407797 -0.0831327333629231 0.0144161451837631 0.034621459194465 0.0184381942383567 -0.074932085622151 -0.0264502766059977 -0.0112128979582415 -0.10436727046515 0.0715680268198404 0.121060489346963 -0.0324214631834054 -0.00529431524629609 -0.00146846269678377 -0.00570151995165197 -0.025987421858386 -0.0685516945712228 -0.0733842752561877 -0.0163445778492365 -0.0110134858421602 -0.087660645529663 0.109058909700739 0.0339807510912559 0.00300957055239715 -0.117182246964976 0.0294137488267335 0.0893484543689374 0.0298847434899963 0.0611729025233987 0.00324519869485862 0.0212178770497218 0.00660658211635031 0.00372487320385017 -0.00838101340628686 0.0170033508018199 0.0621313219493351 0.0197401442742924 -0.0417164562197347 0.0228259755720078 -0.042255817474836 0.0309137428469852 -0.00918278678351927 0.0146293075798733 0.0297847213520409 0.00986110949240185 0.0614197587407885 0.0126952510044700 0.00800151002534761 0.0341797308392325 -0.0180464496214532 -0.0153479524622885 0.0463170445239729 0.0195281991212937 0.0371269245007414 -0.00744692508954433 0.0462493884790173 -0.0395877264208058 0.0382572916842234 0.0374023801364467 0.039717646637445 -0.0103197596326754 0.00344718875977555 0.00885007204463633 -0.0791417702355047 0.0158234735164099 0.016538541536172 0.0144056817515094 0.00282613662406027 0.0534415346690993 -0.0114429989198319 0.0380793061367662 0.0110221503256857 -0.0190504147856999 0.0414994449048327 0.00816603652061595 0.041019836581154 -0.0171632971999998 -0.0239258971120320 -0.0219604522663097 0.00948947211086537 0.039949080719774 -0.0982011343440696 0.0127754891139968 -0.134456574642575 0.0790854375582093 -0.0486237536443106 0.0893991774345677 0.0305540121228036 -0.137690614650960 -0.0322141353773482 0.03442439486507 -0.164911125871352 -0.183934800698021 0.0234325246699871 -0.0233244578414444 0.0283600031799320 -0.0273434825220074 0.0285743363772815
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R Code
par1 <- as.numeric(par1) (n <- length(x)) (np <- floor(n / par1)) arr <- array(NA,dim=c(par1,np+1)) darr <- array(NA,dim=c(par1,np+1)) ari <- array(0,dim=par1) dx <- diff(x) j <- 0 for (i in 1:n) { j = j + 1 ari[j] = ari[j] + 1 arr[j,ari[j]] <- x[i] darr[j,ari[j]] <- dx[i] if (j == par1) j = 0 } ari arr darr arr.mean <- array(NA,dim=par1) arr.median <- array(NA,dim=par1) arr.midrange <- array(NA,dim=par1) for (j in 1:par1) { arr.mean[j] <- mean(arr[j,],na.rm=TRUE) arr.median[j] <- median(arr[j,],na.rm=TRUE) arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2 } overall.mean <- mean(x) overall.median <- median(x) overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2 bitmap(file='plot1.png') plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.mean,0) dev.off() bitmap(file='plot2.png') plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.median,0) dev.off() bitmap(file='plot3.png') plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.midrange,0) dev.off() bitmap(file='plot4.png') z <- data.frame(t(arr)) names(z) <- c(1:par1) (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries')) dev.off() bitmap(file='plot4b.png') z <- data.frame(t(darr)) names(z) <- c(1:par1) (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries')) dev.off() bitmap(file='plot5.png') z <- data.frame(arr) names(z) <- c(1:np) (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks')) dev.off() bitmap(file='plot6.png') z <- data.frame(cbind(arr.mean,arr.median,arr.midrange)) names(z) <- list('mean','median','midrange') (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots')) dev.off()
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