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)

R is free software and comes with ABSOLUTELY NO WARRANTY.
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'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(21571.00
+ ,21493.00
+ ,21422.00
+ ,21272.00
+ ,22747.00
+ ,22676.00
+ ,21571.00
+ ,20831.00
+ ,20909.00
+ ,20909.00
+ ,20980.00
+ ,21130.00
+ ,21051.00
+ ,21643.00
+ ,21864.00
+ ,21643.00
+ ,22455.00
+ ,21935.00
+ ,20759.00
+ ,20467.00
+ ,20467.00
+ ,20610.00
+ ,20026.00
+ ,20467.00
+ ,20097.00
+ ,20467.00
+ ,21051.00
+ ,21272.00
+ ,21792.00
+ ,21571.00
+ ,20246.00
+ ,19726.00
+ ,19506.00
+ ,19726.00
+ ,19363.00
+ ,19506.00
+ ,19064.00
+ ,19805.00
+ ,20168.00
+ ,20246.00
+ ,21643.00
+ ,21643.00
+ ,19805.00
+ ,19363.00
+ ,19363.00
+ ,19584.00
+ ,18622.00
+ ,18180.00
+ ,17668.00
+ ,17817.00
+ ,18480.00
+ ,17960.00
+ ,19363.00
+ ,19584.00
+ ,18180.00
+ ,17668.00
+ ,17375.00
+ ,17668.00
+ ,16855.00
+ ,16563.00
+ ,15388.00
+ ,15680.00
+ ,15751.00
+ ,15830.00
+ ,17226.00
+ ,17076.00
+ ,15388.00
+ ,14647.00
+ ,14355.00
+ ,14725.00
+ ,13322.00
+ ,12367.00
+ ,10601.00
+ ,10750.00
+ ,10750.00
+ ,10601.00
+ ,11854.00
+ ,11926.00
+ ,10451.00
+ ,10159.00
+ ,9568.00
+ ,10380.00
+ ,8905.00
+ ,8022.00
+ ,6333.00
+ ,6697.00
+ ,6255.00
+ ,6404.00
+ ,7509.00
+ ,7730.00
+ ,6996.00
+ ,6917.00
+ ,6917.00
+ ,7879.00
+ ,6184.00
+ ,5079.00
+ ,3163.00
+ ,4709.00
+ ,4488.00
+ ,4566.00
+ ,6333.00
+ ,6112.00
+ ,5300.00
+ ,5671.00
+ ,5671.00
+ ,6996.00
+ ,5450.00
+ ,4566.00
+ ,3163.00
+ ,5008.00
+ ,4859.00
+ ,4930.00
+ ,6476.00
+ ,6333.00
+ ,5813.00
+ ,5892.00
+ ,6255.00
+ ,7067.00
+ ,5813.00
+ ,4787.00)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> 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/1ot9h1471279523.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/2i9x11471279523.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/3g9os1471279523.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$acf))
 [1]  1.00000000  0.97755816  0.95635629  0.93892592  0.92222104  0.90223850
 [7]  0.88172601  0.86473640  0.84965362  0.83175500  0.81611035  0.80182502
[13]  0.78238230  0.75241043  0.72263161  0.69637361  0.66955598  0.64049719
[19]  0.61027041  0.58433315  0.56048047  0.53434096  0.51013770  0.48886633
[25]  0.46251231  0.42952676  0.39771797  0.36905911  0.33964682  0.30798944
[31]  0.27475752  0.24579335  0.21890573  0.19199502  0.16634728  0.14436684
[37]  0.12054230  0.09194310  0.06391030  0.03890999  0.01320679 -0.01533227
[43] -0.04593315 -0.07021522 -0.09214200 -0.11484419 -0.13594947 -0.15320062
[49] -0.17051575
> (mypacf <- c(rpacf$acf))
 [1]  0.977558160  0.016591588  0.074922664  0.012149740 -0.074811871
 [6] -0.023521694  0.057624257  0.034282873 -0.054418840  0.049416535
[11]  0.009415371 -0.126698150 -0.246912693 -0.050060214  0.016773008
[16] -0.017787611 -0.020279258 -0.058051303  0.026763487  0.020573640
[21] -0.041030988  0.015410893  0.048923784 -0.078675000 -0.116574194
[26] -0.017611629 -0.001898843 -0.018100205 -0.015032098 -0.074609782
[31] -0.004405048  0.011735884  0.009030933 -0.013163924  0.057005463
[36]  0.006234067 -0.076341137 -0.030975191 -0.002742296 -0.020652460
[41] -0.024774317 -0.071780423  0.036621256  0.011988479 -0.014051026
[46] -0.015053292  0.032012534  0.018675974
> 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/4rtgt1471279523.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/58aa51471279523.tab") 
> 
> try(system("convert tmp/1ot9h1471279523.ps tmp/1ot9h1471279523.png",intern=TRUE))
character(0)
> try(system("convert tmp/2i9x11471279523.ps tmp/2i9x11471279523.png",intern=TRUE))
character(0)
> try(system("convert tmp/3g9os1471279523.ps tmp/3g9os1471279523.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.312   0.105   1.452