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(252.5,251.1,255.1,258.3,255.3,261.1,253.8,252.9,253.9,255.5,262,262.8,263.3,262.5,269.2,270.8,274.1,273,267.3,267.1,268.2,270.2,271.5,281,280.1,281.5,285.9,289.8,292.9,291.2,291.8,289.8,292.5,290.3,297.5,307.5,304.7,304.6,310.7,310.7,315.7,314.7,312.2,312.8,314.3,319.7,319.9,329.5,326.9,329.7,335.7,337.2,339.7,338.3,339.2,342.5,342.2,338.3,339,345.9)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1b4241259342150.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2sjpq1259342150.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.141923129 -0.069341600 -0.024758912 -0.168520032
 [6]  0.060451986 -0.080406951  0.013608916 -0.234531654  0.095448328
[11] -0.162523134  0.100901624  0.423287501  0.024418476 -0.053504153
[16]  0.082022058 -0.146894963 -0.126365673  0.055253518 -0.130789098
[21]  0.012725607  0.053855948 -0.147910500 -0.054997383  0.333330981
[26]  0.095779898 -0.057240138  0.007503822 -0.129243101 -0.082488402
[31]  0.033341431 -0.069813580 -0.047941159  0.090145723 -0.213096009
[36]  0.128894588  0.116033788
> (mypacf <- c(rpacf$acf))
 [1] -0.141923129 -0.091323223 -0.049871769 -0.192323914 -0.004110252
 [6] -0.113640242 -0.032199558 -0.311238388 -0.001380752 -0.307122812
[11]  0.003267088  0.316428351  0.243262272 -0.034547047  0.282847113
[16] -0.074918731 -0.113251210 -0.069709613 -0.024430843  0.037579709
[21]  0.189926129 -0.047651380 -0.166148687  0.029587159  0.061378140
[26] -0.125267882 -0.153850006  0.056602445 -0.039470205 -0.033931636
[31] -0.015938442 -0.055545079 -0.081796360 -0.123355590  0.139001553
[36] -0.181948668
> 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/3218t1259342150.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/42gpy1259342150.tab") 
> 
> system("convert tmp/1b4241259342150.ps tmp/1b4241259342150.png")
> system("convert tmp/2sjpq1259342150.ps tmp/2sjpq1259342150.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.530   0.334   0.646