R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(561,549,532,526,511,499,555,565,542,527,510,514,517,508,493,490,469,478,528,534,518,506,502,516,528,533,536,537,524,536,587,597,581,564,558,575,580,575,563,552,537,545,601,604,586,564,549,551,556,548,540,531,521,519,572,581,563,548,539,541,562,559,546,536,528,530,582,599,584,571,563,565,578,572,565,561,551,553,611,622,613,599,591,596)
> 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/1rlgt1419935183.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/2aonu1419935183.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/3sqyt1419935183.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$acf))
 [1]  1.00000000  0.24503309 -0.37390289 -0.36646193 -0.22880368  0.12323712
 [7]  0.37793613  0.13759081 -0.17799246 -0.34108756 -0.35294941  0.21267761
[13]  0.78690774  0.18578576 -0.33523606 -0.35213671 -0.21778184  0.08973589
[19]  0.30019424  0.12001065 -0.16266450 -0.32807932 -0.31686602  0.14399069
[25]  0.64051159  0.17883728 -0.27783482 -0.29335405 -0.16853663  0.07420418
[31]  0.22506721  0.11041628 -0.13167957 -0.24264408 -0.22996942  0.12089004
[37]  0.53650373  0.17544874 -0.20736642 -0.21674546 -0.14461311  0.04219494
[43]  0.18597231  0.11048465 -0.07647634 -0.15386408 -0.16897005  0.06554631
[49]  0.38951333
> (mypacf <- c(rpacf$acf))
 [1]  0.245033090 -0.461662908 -0.161465747 -0.328039767  0.053309351
 [6]  0.110091236 -0.034021625 -0.044696898 -0.218231277 -0.350041504
[11]  0.188607067  0.594903270 -0.182158919  0.062199181 -0.031088614
[16]  0.056878336 -0.142997399 -0.144912275 -0.065330288 -0.142402377
[21] -0.096883668 -0.095402721 -0.212005636  0.029217120 -0.073202385
[26] -0.005586421  0.015299429  0.055646695  0.026763598 -0.105757972
[31]  0.009411566 -0.080539701  0.073508764 -0.018064834 -0.012644800
[36]  0.009216646  0.010763163  0.057264087  0.009514941 -0.092221033
[41] -0.012975130 -0.009159407 -0.006864961  0.004354096  0.039945327
[46]  0.049236700 -0.047086543 -0.073015375
> 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/46tfk1419935183.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/58zzj1419935183.tab") 
> 
> try(system("convert tmp/1rlgt1419935183.ps tmp/1rlgt1419935183.png",intern=TRUE))
character(0)
> try(system("convert tmp/2aonu1419935183.ps tmp/2aonu1419935183.png",intern=TRUE))
character(0)
> try(system("convert tmp/3sqyt1419935183.ps tmp/3sqyt1419935183.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.342   0.225   1.574