R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(662,670,659,663,673,699,712,700,692,699,700,702,693,696,696,694,695,715,731,715,707,712,699,703,695,694,691,694,699,720,732,712,705,707,700,687,674,676,666,669,669,688,705,684,679,689,691,685,690,685,688,696,693,721,726,704,700,707,696,687)
> 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)
> x <- na.omit(x)
> 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/1ac8y1476792347.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/2c0fg1476792347.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/3bdd91476792347.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$acf))
 [1]  1.000000000  0.107365213 -0.300821742 -0.009655209  0.057910158
 [6] -0.067562008 -0.167467370 -0.116095090  0.013595048 -0.010169247
[11] -0.268747278  0.120745410  0.625547417  0.043422288 -0.229572904
[16] -0.087087711  0.054698299 -0.128405220 -0.155658440 -0.054853897
[21]  0.012720792 -0.031114726 -0.150734727  0.154303604  0.481144803
[26]  0.046472782 -0.238634597 -0.039946715  0.075142144 -0.103994675
[31] -0.109083782 -0.083199066 -0.019537474 -0.005382724 -0.110907189
[36]  0.070997961  0.312585403  0.018372326 -0.161887847 -0.020227690
[41]  0.050234625 -0.025793624 -0.044933986 -0.004590158  0.019078146
[46] -0.007706620 -0.052579260  0.084589809  0.140847050
> (mypacf <- c(rpacf$acf))
 [1]  1.073652e-01 -3.159916e-01  7.504713e-02 -5.289676e-02 -5.642934e-02
 [6] -1.625704e-01 -1.283653e-01 -5.897238e-02 -9.243876e-02 -3.320640e-01
[11]  1.620954e-01  4.872082e-01 -4.932737e-02  3.024016e-02 -1.846606e-01
[16] -2.440957e-02 -2.570732e-01  3.172370e-03  9.970279e-03 -1.248912e-02
[21] -3.357674e-02  5.551432e-02 -1.558341e-02  1.292270e-01 -5.154950e-02
[26] -5.903006e-02  1.628492e-02 -2.836601e-02  7.699974e-02  7.646704e-03
[31] -6.389932e-02 -7.912965e-02 -7.030209e-03 -8.062957e-02 -1.194126e-01
[36] -1.079050e-01 -2.313675e-02  3.015188e-02  1.474568e-02  2.700509e-02
[41]  6.574862e-02  1.448250e-02  1.101454e-01  3.738752e-02  7.081970e-03
[46]  2.742891e-05  2.294397e-02 -1.531667e-01
> 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/4dydu1476792347.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/5w4mh1476792347.tab") 
> 
> try(system("convert tmp/1ac8y1476792347.ps tmp/1ac8y1476792347.png",intern=TRUE))
character(0)
> try(system("convert tmp/2c0fg1476792347.ps tmp/2c0fg1476792347.png",intern=TRUE))
character(0)
> try(system("convert tmp/3bdd91476792347.ps tmp/3bdd91476792347.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.192   0.089   1.302