R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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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(571000
+ ,584000
+ ,599000
+ ,582000
+ ,530000
+ ,528000
+ ,536000
+ ,546000
+ ,559000
+ ,562000
+ ,541000
+ ,539000
+ ,548000
+ ,563000
+ ,581000
+ ,572000
+ ,519000
+ ,521000
+ ,531000
+ ,540000
+ ,548000
+ ,556000
+ ,551000
+ ,549000
+ ,564000
+ ,586000
+ ,604000
+ ,601000
+ ,545000
+ ,537000
+ ,552000
+ ,563000
+ ,575000
+ ,580000
+ ,575000
+ ,558000
+ ,564000
+ ,581000
+ ,597000
+ ,587000
+ ,536000
+ ,524000
+ ,537000
+ ,536000
+ ,533000
+ ,528000
+ ,516000
+ ,502000
+ ,506000
+ ,518000
+ ,534000
+ ,528000
+ ,478000
+ ,469000
+ ,490000
+ ,493000
+ ,508000
+ ,517000
+ ,514000
+ ,510000
+ ,527000
+ ,542000
+ ,565000
+ ,555000
+ ,499000
+ ,511000
+ ,526000
+ ,532000
+ ,549000
+ ,561000
+ ,557000
+ ,566000
+ ,588000
+ ,620000
+ ,626000
+ ,620000
+ ,573000
+ ,573000
+ ,574000
+ ,580000
+ ,590000
+ ,593000
+ ,597000
+ ,595000
+ ,612000
+ ,628000
+ ,629000
+ ,621000
+ ,569000
+ ,567000
+ ,573000
+ ,584000
+ ,589000
+ ,591000
+ ,595000
+ ,594000
+ ,611000
+ ,613000
+ ,611000
+ ,594000
+ ,543000
+ ,537000
+ ,544000
+ ,555000
+ ,561000
+ ,562000
+ ,555000
+ ,547000
+ ,565000
+ ,578000
+ ,580000
+ ,569000
+ ,507000
+ ,501000
+ ,509000
+ ,510000
+ ,517000
+ ,519000
+ ,512000
+ ,509000
+ ,519000
+ ,523000
+ ,525000
+ ,517000
+ ,456000
+ ,455000
+ ,461000
+ ,470000
+ ,475000
+ ,476000
+ ,471000
+ ,471000
+ ,503000
+ ,513000
+ ,510000
+ ,484000
+ ,431000
+ ,436000
+ ,443000
+ ,448000
+ ,460000
+ ,467000
+ ,460000
+ ,464000
+ ,485000
+ ,501000
+ ,521000
+ ,488000
+ ,439000
+ ,442000
+ ,457000
+ ,462000
+ ,481000
+ ,493000)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = 'Default'
> par8 <- ''
> par7 <- '0.95'
> par6 <- 'White Noise'
> par5 <- '12'
> par4 <- '0'
> par3 <- '1'
> par2 <- '1'
> par1 <- 'Default'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), (Partial) Autocorrelation Function (v1.0.11) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_autocorrelation.wasp/
> #Source of accompanying publication: 
> #
> 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/1qo191353430751.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/2n09p1353430751.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/32g3k1353430751.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  0.27456582 -0.26114279 -0.34780498 -0.26994834  0.07418380
 [7]  0.27292308  0.09070927 -0.25021525 -0.31661122 -0.24304328  0.25002329
[13]  0.83945354  0.21940208 -0.23769429 -0.33174718 -0.25384446  0.05950083
[19]  0.21386900  0.06708721 -0.25180695 -0.31288779
> (mypacf <- c(rpacf$acf))
 [1]  0.27456582 -0.36396737 -0.18709523 -0.24386046  0.07560563  0.05077859
 [7] -0.08854869 -0.26407663 -0.16413651 -0.30953207  0.19599968  0.71965196
[13] -0.22399607  0.14584595  0.01340529  0.04545809 -0.04416979 -0.18996804
[19] -0.03038685 -0.14195522 -0.13539338
> 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/4a3y91353430751.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/5vyoy1353430752.tab") 
> 
> try(system("convert tmp/1qo191353430751.ps tmp/1qo191353430751.png",intern=TRUE))
character(0)
> try(system("convert tmp/2n09p1353430751.ps tmp/2n09p1353430751.png",intern=TRUE))
character(0)
> try(system("convert tmp/32g3k1353430751.ps tmp/32g3k1353430751.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.850   0.343   2.172