R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(101.73,101.63,101.43,101.34,101.01,100.89,100.93,100.77,100.3,99.86,99.71,99.93,99.88,99.92,99.87,99.63,100.05,99.88,100.11,100.05,100.07,100.2,100.21,99.76,99.41,99.24,99.65,99.7,99.79,99.84,101,101.62,101.98,101.46,102.28,102.14,102.02,102.21,101.61,102.38,102.19,102.04,101.76,101.9,102.01,102.37,103.04,103.42,103.76,104.41,104.75,104.28,103.89,104.09,103.8,105.03,105.86,106.04,106.03,106.13,107.21,107.66,108.08,108.76,108.26,108.71,108.65,108.61,108.86,109.54,108.22,108.77,109.9,110.13,109.6,110.42,110.6,109.73,110.72,111.08,111.14,111.01,110.56,111.57)
> par5 = '12'
> par4 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1ug7y1229599909.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/214m31229599909.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.96763296  0.94093438  0.91157288  0.87866317  0.84358917
 [7]  0.80966047  0.78040687  0.74338086  0.70716993  0.67439064  0.63638230
[13]  0.59873941  0.56522082  0.53347585  0.49274419  0.45417124  0.41331677
[19]  0.37136731  0.32714405  0.28386179  0.23744839  0.19601125  0.15845893
[25]  0.11973566  0.08704829  0.05400900  0.01960404 -0.01305740 -0.04260184
[31] -0.06694559 -0.09259264 -0.11544313 -0.14067399 -0.17046535 -0.19755211
[37] -0.22165868
> (mypacf <- c(rpacf$acf))
 [1]  0.967632960  0.072556044 -0.048193232 -0.077927039 -0.060774368
 [6] -0.003167535  0.065406885 -0.123682751 -0.035677846  0.033099732
[11] -0.086420490 -0.023470540  0.045743400  0.005923259 -0.150523992
[16] -0.019920139 -0.077451725 -0.025521609 -0.046037912 -0.042738643
[21] -0.101972332  0.075708038  0.035983583 -0.057510560  0.078325155
[26] -0.029487328 -0.090682376  0.006511873  0.034010281  0.034207616
[31]  0.004082888 -0.028245711 -0.097868299 -0.082803626  0.029865679
[36]  0.003850572
> 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/3aevs1229599909.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/4tsrf1229599909.tab") 
> 
> system("convert tmp/1ug7y1229599909.ps tmp/1ug7y1229599909.png")
> system("convert tmp/214m31229599909.ps tmp/214m31229599909.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.556   0.318   0.679