R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(359640,364080,364080,359640,359640,359640,359640,359640,364080,368520,372960,377400,406780,402050,392590,368940,368940,378400,406780,420970,420970,406780,392590,392590,394250,399000,403750,399000,408500,403750,403750,399000,403750,403750,403750,403750,405450,405450,405450,405450,410220,400680,386370,381600,381600,381600,381600,376830,381420,381420,386310,396090,391200,371640,356970,342300,332520,342300,347190,352080,357130,347070,337010,337010,331980)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '1'
> par1 = '36'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1egze1261047812.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2xcl71261047812.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.85751370  0.65189232  0.47496879  0.41580102  0.45980941
 [7]  0.53937357  0.56889147  0.52605216  0.42462029  0.30602562  0.21222270
[13]  0.14068262  0.15729906  0.20522991  0.21979594  0.18554335  0.10854952
[19]  0.03165208 -0.01399631 -0.02210900 -0.03092483 -0.05055117 -0.09061123
[25] -0.12621773 -0.16144253 -0.20124251 -0.24294450 -0.26951982 -0.26359312
[31] -0.23428006 -0.18738099 -0.19073768 -0.25091030 -0.33405859 -0.38938134
[37] -0.37662691
> (mypacf <- c(rpacf$acf))
 [1]  0.857513702 -0.315250486  0.042232011  0.311552987  0.216531330
 [6]  0.102340834 -0.032393134 -0.013410778 -0.064020707 -0.110935763
[11] -0.097399746 -0.186611999  0.218704703  0.008837042 -0.147418753
[16]  0.034548344  0.020476841  0.038304167 -0.048688407 -0.042518315
[21] -0.121375810 -0.046626945 -0.034481212 -0.076790063 -0.025437316
[26] -0.046222403 -0.093892769  0.029709030  0.097629757  0.056288764
[31]  0.128373544 -0.126031745 -0.181767528 -0.062508415 -0.041231487
[36]  0.032702905
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/html/rcomp/tmp/3lx6p1261047812.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/html/rcomp/tmp/4sspi1261047812.tab") 
> try(system("convert tmp/1egze1261047812.ps tmp/1egze1261047812.png",intern=TRUE))
character(0)
> try(system("convert tmp/2xcl71261047812.ps tmp/2xcl71261047812.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.540   0.308   0.678