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Type 'q()' to quit R. > x <- c(-45.6 + ,16.1 + ,23.9 + ,39.3 + ,-39.4 + ,-0.3 + ,17.3 + ,17.7 + ,31.4 + ,-28.6 + ,-17.2 + ,-79 + ,-47.9 + ,9.1 + ,10.6 + ,-23.9 + ,-45 + ,-42.2 + ,43.2 + ,32.1 + ,-15.3 + ,21.8 + ,-12 + ,-95.8 + ,-14.3 + ,47.8 + ,64.8 + ,40.2 + ,-28.8 + ,23.5 + ,70.3 + ,12.3 + ,43.5 + ,-30.1 + ,-5.3 + ,-24 + ,11.1 + ,21.5 + ,38.5 + ,16.8 + ,-36.2 + ,6 + ,26.6 + ,-8 + ,13.2 + ,-23.6 + ,19.4 + ,-46.2 + ,-8.2 + ,33.8 + ,16.6 + ,5.4 + ,-25 + ,-5.3 + ,16.7 + ,19 + ,24.8 + ,-11.4 + ,4.9 + ,-58.7 + ,16.8 + ,13.6 + ,6.4 + ,22.8 + ,-19.6 + ,2.2 + ,19.8 + ,-10.7 + ,4.7 + ,-44.5 + ,-34.7 + ,-119.7 + ,-42.2 + ,-5.4 + ,19.1 + ,18.8 + ,-2.3 + ,0.2 + ,20.9 + ,3.7 + ,50.4 + ,-18.6 + ,10.6 + ,-66 + ,10 + ,27.2 + ,13.5 + ,47.2 + ,-20.3 + ,23.1 + ,12.6 + ,19.8 + ,5.4 + ,-25.2 + ,-6.5 + ,-46.5 + ,-2.6 + ,-0.3 + ,38.5 + ,-8.9 + ,-38 + ,19.5 + ,51.7 + ,19.4 + ,18.2 + ,-50.8 + ,-6.1 + ,-54.6 + ,12.1 + ,26.3 + ,19.5 + ,-0.8 + ,-49.6 + ,28.8 + ,31.7 + ,2.3 + ,3.8 + ,-66.2 + ,-20.5 + ,-113.2 + ,-65.2 + ,-3.9 + ,9.1 + ,23.2 + ,-39.1 + ,12.5 + ,49.1 + ,54.9 + ,30.8 + ,-3.5 + ,-28.3 + ,-61 + ,-2 + ,40 + ,74 + ,23.1 + ,-45.3 + ,17.5 + ,25.8 + ,15.2 + ,-3.6 + ,-40.5 + ,11.5 + ,-59.8 + ,23.3 + ,-27.8 + ,55.7 + ,22.7 + ,-79.2 + ,28.8 + ,17.3 + ,39.6 + ,-22.2 + ,-43 + ,-50.3 + ,-86.5 + ,-31.9 + ,23.1 + ,53.6 + ,21.6 + ,-64.2 + ,35.2 + ,52.1 + ,40.6 + ,17.1 + ,-7.8 + ,-10 + ,-58 + ,14 + ,15.8 + ,46 + ,-8.9 + ,-26.7 + ,39 + ,-1.3 + ,38.7 + ,22.1 + ,-49.2 + ,-3.4 + ,-86.7 + ,-24.3 + ,42.8 + ,44.9 + ,4.4 + ,-60.5 + ,41.4 + ,38.5 + ,28.5 + ,7.6 + ,-46.4 + ,7 + ,-73 + ,5.7 + ,23.6 + ,39.4 + ,30.3 + ,-92.5 + ,77.8 + ,12.4 + ,28.9 + ,6.4 + ,-12 + ,-9.1 + ,-53.2 + ,-23.1 + ,47.3 + ,20.7 + ,27.8 + ,-84.3 + ,62.8 + ,26.4 + ,32.3 + ,13.3 + ,-17.9 + ,10 + ,-45.6 + ,13.5 + ,11.9 + ,26 + ,-6.3 + ,-79.9 + ,54.2 + ,22.9 + ,31.8 + ,3.8 + ,-11.4 + ,-8.6 + ,-49.4 + ,-2.5 + ,23 + ,29 + ,20.6 + ,-117 + ,37.9 + ,30.7 + ,4.7 + ,-5.7 + ,4.9 + ,18.3 + ,-35.4 + ,-21.3 + ,35.8 + ,43.8 + ,18.7 + ,-131.1 + ,39.8 + ,44.5 + ,16.5 + ,9.7 + ,-6.6 + ,15.8 + ,-45.7 + ,-4.8 + ,17.6 + ,20.5 + ,24.2 + ,-109 + ,20.8 + ,31.2 + ,-8.8 + ,11.8 + ,13 + ,8.3 + ,-77.9 + ,-38.8 + ,6.1 + ,18.1 + ,16.8 + ,-128.5 + ,15.9 + ,29 + ,-7.2 + ,3.3 + ,-34.8 + ,-2.9 + ,-77.8 + ,-2.8 + ,26.7 + ,48.1 + ,30 + ,-109.6 + ,16 + ,26.9 + ,22.1 + ,27 + ,-24.5 + ,12 + ,-75.2 + ,3.5 + ,19.7 + ,51.8 + ,35.3 + ,-108.2 + ,25.3 + ,31.6 + ,19.9 + ,18.8 + ,20.4 + ,15 + ,-55.9 + ,-17 + ,33.3 + ,33.8 + ,37.5 + ,-104.8 + ,29.7 + ,34.2 + ,4.3 + ,40.2 + ,-29.3 + ,-0.2 + ,-95 + ,-13.2 + ,38.5 + ,45.4 + ,15.7 + ,-123.6 + ,12 + ,37.5 + ,-31.7 + ,15.8 + ,-64.1 + ,-42.1 + ,-207.4 + ,-12.9 + ,-5 + ,53.9 + ,19.7 + ,-94.6 + ,36 + ,51.3 + ,17.4 + ,27.8 + ,1.3 + ,3.6 + ,-97.9 + ,14.1 + ,50.8 + ,63.5 + ,58.6 + ,-135.1 + ,7.8 + ,25.5 + ,29.6 + ,19.3 + ,-26.2 + ,7.3 + ,-82.6 + ,-26.1 + ,55.3 + ,98.8 + ,41.7 + ,-130.2 + ,51.2 + ,18.4 + ,32 + ,21.6 + ,-12.5 + ,46.6 + ,-101.7 + ,15.8 + ,26 + ,79.1 + ,23.1 + ,-86.9 + ,-11.2 + ,50.7 + ,13.4 + ,33.7 + ,-16.9 + ,-9.6) > par8 = '' > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '0' > par2 = '1' > par1 = 'Default' > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par8 != '') par8 <- as.numeric(par8) > ox <- x > if (par8 == '') { + if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } + } else { + x <- log(x,base=par8) + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/wessaorg/rcomp/tmp/1blq31322144547.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow=c(2,1)) > plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value') > if (par8=='') { + mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='') + mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='') + } else { + mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='') + mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='') + } > plot(x,type='l', main=mytitle,xlab='time',ylab='value') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/2zsbu1322144547.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3nuha1322144547.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub) > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.030497633 -0.146129687 -0.254887844 -0.077666374 [6] 0.268310269 -0.116453958 0.237150816 -0.108755138 -0.269739449 [11] -0.201481944 -0.001450768 0.759858870 -0.020890726 -0.210500254 [16] -0.283559550 -0.123045152 0.226931995 -0.139932074 0.233959398 [21] -0.117882755 -0.243878691 -0.183068472 -0.012166376 0.720824466 [26] -0.007936669 > (mypacf <- c(rpacf$acf)) [1] 0.030497633 -0.147196701 -0.250951779 -0.099072547 0.213670569 [6] -0.229321336 0.319488641 -0.108401914 -0.295782815 -0.189545783 [11] 0.053272149 0.637002113 -0.152635207 -0.220834427 -0.061033998 [16] -0.163242983 -0.089864617 -0.089664758 0.084679822 -0.044248111 [21] 0.003230462 0.020675164 -0.085333832 0.214348352 -0.011253093 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Autocorrelation Function',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Time lag k',header=TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE) > a<-table.element(a,'T-STAT',header=TRUE) > a<-table.element(a,'P-value',header=TRUE) > a<-table.row.end(a) > for (i in 2:(par1+1)) { + a<-table.row.start(a) + a<-table.element(a,i-1,header=TRUE) + a<-table.element(a,round(myacf[i],6)) + mytstat <- myacf[i]*sqrtn + a<-table.element(a,round(mytstat,4)) + a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/470pb1322144547.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Partial Autocorrelation Function',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Time lag k',header=TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE) > a<-table.element(a,'T-STAT',header=TRUE) > a<-table.element(a,'P-value',header=TRUE) > a<-table.row.end(a) > for (i in 1:par1) { + a<-table.row.start(a) + a<-table.element(a,i,header=TRUE) + a<-table.element(a,round(mypacf[i],6)) + mytstat <- mypacf[i]*sqrtn + a<-table.element(a,round(mytstat,4)) + a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/51qh81322144547.tab") > > try(system("convert tmp/1blq31322144547.ps tmp/1blq31322144547.png",intern=TRUE)) character(0) > try(system("convert tmp/2zsbu1322144547.ps tmp/2zsbu1322144547.png",intern=TRUE)) character(0) > try(system("convert tmp/3nuha1322144547.ps tmp/3nuha1322144547.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.047 0.161 1.207