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Type 'q()' to quit R. > x <- c(3.96,3.97,3.96,3.95,3.94,3.94,3.95,3.93,3.94,3.92,3.95,3.94,3.95,3.92,3.92,3.92,3.92,3.9,3.92,3.94,3.96,3.95,3.96,3.97,3.99,4,4.05,4.08,4.09,4.12,4.14,4.15,4.15,4.15,4.15,4.2,4.22,4.22,4.22,4.23,4.3,4.29,4.32,4.31,4.35,4.34,4.35,4.38,4.39,4.38,4.34,4.33,4.33,4.33,4.33,4.32,4.35,4.35,4.35,4.36,4.38,4.41,4.43,4.42,4.43,4.43,4.42,4.46,4.44,4.41,4.41,4.46,4.5,4.58,4.61,4.65,4.55,4.63,4.69,4.72,4.71,4.74,4.77,4.78) > par8 = '' > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '1' > par1 = '48' > 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/11wq31388665256.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/26civ1388665256.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/36ygj1388665256.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$acf)) [1] 1.000000000 -0.013790636 0.056778564 -0.173863302 0.237587653 [6] 0.018973493 0.079111769 0.072143745 0.029341454 -0.099749252 [11] 0.001718708 0.048087335 0.010158339 -0.003611560 -0.010455159 [16] -0.087805996 0.025876306 0.032760881 0.013848101 -0.053279186 [21] -0.051578967 0.003582327 -0.134135147 -0.192697879 -0.141103421 [26] -0.017176832 0.001693973 -0.072338876 -0.134344020 -0.101641355 [31] 0.020564028 0.022305722 -0.037895267 0.039620970 -0.006727420 [36] 0.075848748 -0.084244406 0.108509689 0.118857413 0.003577830 [41] -0.089554185 -0.029229272 0.110105221 0.053388120 0.044595203 [46] 0.008491100 0.084244656 0.075617638 0.103135948 > (mypacf <- c(rpacf$acf)) [1] -0.013790636 0.056599146 -0.172930830 0.239507547 0.033096936 [6] 0.026498736 0.163699249 -0.032443648 -0.115750515 0.027943219 [11] -0.004097025 -0.046967087 0.047319993 -0.012084335 -0.119105598 [16] 0.083907593 0.030729582 -0.059530432 0.028137992 -0.054045158 [21] -0.026630661 -0.120096245 -0.240219780 -0.161719581 -0.034349230 [26] 0.017223541 -0.017067980 -0.057416930 -0.050312905 0.069887095 [31] 0.049487446 -0.069692432 0.098405348 0.015501384 0.077326641 [36] -0.021386775 0.022593819 0.147034921 -0.028532224 -0.032254946 [41] -0.013228601 0.029353721 0.016474805 0.023185651 -0.027568710 [46] 0.004897280 0.076063861 0.050606823 > 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/4ebjs1388665256.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/5kdyg1388665256.tab") > > try(system("convert tmp/11wq31388665256.ps tmp/11wq31388665256.png",intern=TRUE)) character(0) > try(system("convert tmp/26civ1388665256.ps tmp/26civ1388665256.png",intern=TRUE)) character(0) > try(system("convert tmp/36ygj1388665256.ps tmp/36ygj1388665256.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.394 0.484 2.853