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Type 'q()' to quit R. > x <- c(1.4761,1.4721,1.487,1.5167,1.5812,1.554,1.5508,1.5764,1.5611,1.4735,1.4303,1.2757,1.2727,1.3917,1.2816,1.2644,1.3308,1.3275,1.4098,1.4134,1.4138,1.4272,1.4643,1.48,1.5023,1.4406,1.3966,1.357,1.3479,1.3315,1.2307,1.2271,1.3028,1.268,1.3648,1.3857,1.2998,1.3362,1.3692,1.3834,1.4207,1.486,1.4385,1.4453,1.426,1.445,1.3503,1.4001,1.3418,1.2939,1.3176,1.3443,1.3356,1.3214,1.2403,1.259,1.2284,1.2611,1.293,1.2993,1.2986) > par8 = '' > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '1' > par3 = '1' > par2 = '1' > par1 = '60' > 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/fisher/rcomp/tmp/1n2ac1356105789.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/fisher/rcomp/tmp/27run1356105789.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/fisher/rcomp/tmp/3fx9m1356105789.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$acf)) [1] 1.000000000 -0.041214532 0.002999129 0.200908275 -0.197692180 [6] 0.112269528 0.007279306 -0.347031863 -0.050226936 -0.240478571 [11] 0.062966910 0.092046668 -0.452097695 0.030868728 -0.053136688 [16] -0.042290631 0.267251015 -0.008704993 0.035213058 0.264350742 [21] -0.018352424 0.184598973 0.006661159 -0.136960218 0.080597557 [26] -0.027489549 -0.027987756 -0.036959140 -0.086573094 0.028633113 [31] -0.076892130 -0.094454416 0.061882291 -0.192931873 0.059734843 [36] 0.055205024 -0.034311510 0.058202946 0.037439849 0.028434298 [41] 0.021581052 -0.024418642 0.018592305 -0.026387615 -0.040129570 [46] 0.058819951 -0.040991912 0.021177219 > (mypacf <- c(rpacf$acf)) [1] -0.041214532 0.001302704 0.201427906 -0.189076825 0.109299964 [6] -0.033059912 -0.296009290 -0.146079629 -0.242569803 0.181605923 [11] 0.032015222 -0.439998284 -0.122143972 -0.160643664 0.031752833 [16] -0.025010834 0.078648059 0.072059771 0.037089792 -0.166522275 [21] -0.127955501 0.070175038 0.061776776 -0.064144585 0.064544484 [26] 0.001740414 -0.111728281 0.045703155 0.117521541 0.035843967 [31] -0.018132737 0.007289179 -0.150069362 0.027607539 -0.068366054 [36] 0.065816897 0.060982691 -0.023026942 -0.077155635 -0.147471099 [41] 0.017874935 -0.067353015 0.024363798 -0.037618709 -0.118031617 [46] -0.019224776 -0.107869628 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/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/fisher/rcomp/tmp/4cwkn1356105789.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/fisher/rcomp/tmp/5ju5c1356105789.tab") > > try(system("convert tmp/1n2ac1356105789.ps tmp/1n2ac1356105789.png",intern=TRUE)) character(0) > try(system("convert tmp/27run1356105789.ps tmp/27run1356105789.png",intern=TRUE)) character(0) > try(system("convert tmp/3fx9m1356105789.ps tmp/3fx9m1356105789.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.916 0.608 2.514