R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(130,127,122,117,112,113,149,157,157,147,137,132,125,123,117,114,111,112,144,150,149,134,123,116,117,111,105,102,95,93,124,130,124,115,106,105,105,101,95,93,84,87,116,120,117,109,105,107,109,109,108,107,99,103,131,137,135,124,118,121,121)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '60'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> 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/www/rcomp/tmp/16eph1293281372.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/www/rcomp/tmp/2yn621293281372.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/www/rcomp/tmp/3yn621293281372.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  0.796785694  0.478397033  0.228706607  0.112766858
 [6]  0.106004484  0.113548557  0.075288002  0.046847286  0.097818675
[11]  0.245924131  0.452037173  0.560379489  0.370962691  0.102425992
[16] -0.102724415 -0.194545618 -0.198326918 -0.198890089 -0.247575213
[21] -0.281505906 -0.251074999 -0.134696070  0.034791653  0.131202899
[26]  0.004610235 -0.167180392 -0.286362458 -0.323930236 -0.301575612
[31] -0.284974142 -0.302175599 -0.308061357 -0.262924397 -0.158545236
[36] -0.020039014  0.059897466 -0.005961974 -0.099128095 -0.158644166
[41] -0.160367450 -0.123090038 -0.094044688 -0.088134835 -0.079018465
[46] -0.049511585  0.006811419  0.078236211  0.117556157  0.080474098
[51]  0.025326594 -0.012201513 -0.014601128  0.009043263  0.026757435
[56]  0.021489952  0.013629389  0.004506151  0.002064931  0.003511396
[61]  0.002009685
> (mypacf <- c(rpacf$acf))
 [1]  0.796785694 -0.428530424  0.085971543  0.092404208  0.071057756
 [6] -0.066896729 -0.071257379  0.125816348  0.191395075  0.228074398
[11]  0.273163832 -0.029211168 -0.601835163  0.185992438 -0.072257570
[16] -0.146578320 -0.107361270 -0.054738969 -0.109932701 -0.036817254
[21] -0.070317211  0.005568418 -0.044615737  0.035769700 -0.045961359
[26]  0.099173829 -0.021313561 -0.032861035 -0.005146287  0.037668679
[31]  0.051432641 -0.064092882  0.034660428 -0.060668901 -0.054534432
[36] -0.008421164  0.110118683 -0.115631416 -0.022943544  0.051511838
[41]  0.019052471 -0.013951444  0.055165924 -0.024036273 -0.070331810
[46] -0.045703080 -0.022153995  0.014426852  0.014148845 -0.105581304
[51] -0.005323411  0.015359484 -0.009894656 -0.033583592 -0.088674063
[56]  0.042244714 -0.107603970 -0.037412227 -0.052623057 -0.003317134
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/www/rcomp/tmp/4cx4s1293281372.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/www/rcomp/tmp/5xy6q1293281373.tab") 
> 
> try(system("convert tmp/16eph1293281372.ps tmp/16eph1293281372.png",intern=TRUE))
character(0)
> try(system("convert tmp/2yn621293281372.ps tmp/2yn621293281372.png",intern=TRUE))
character(0)
> try(system("convert tmp/3yn621293281372.ps tmp/3yn621293281372.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.780   0.640   1.417