R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(2150.3,2425.7,2642.0,2291.5,2570.7,2526.6,2266.2,1981.9,2630.3,2942.6,2713.4,2437.5,2678.9,2582.0,2780.0,2512.4,2658.4,2708.7,2518.7,2018.3,2579.3,2693.5,2468.8,2122.8,2412.8,2370.6,2642.5,2634.2,2457.5,2579.1,2505.9,1903.2,2660.2,2844.1,2607.1,2356.0,2659.9,2531.4,2845.7,2654.3,2588.2,2789.6,2533.1,1846.5,2796.3,2895.6,2472.2,2584.4,2630.4,2663.1,3176.2,2856.7,2551.4,3088.7,2628.3,2226.2,3023.6,3077.9,3084.1,2990.3,2949.6,3014.7,3517.7,3121.2,3067.4,3174.6,2676.3,2424.0,3195.1,3146.6,3506.7,3528.5)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '-0.3'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1j3zd1229454999.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2jtfk1229454999.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.387789142 -0.121456366  0.326385783 -0.208544068
 [6] -0.079205881  0.243031910 -0.252156733  0.104947031  0.231641311
[11] -0.254062279  0.079690701 -0.050257353 -0.145383917  0.077972571
[16]  0.143084095 -0.322204130  0.283920595 -0.002412788 -0.253994749
[21]  0.249030865 -0.099953921 -0.127234838  0.295044115 -0.094123599
[26] -0.103849977  0.205066318 -0.160006098 -0.004876095  0.123160381
[31] -0.112162655  0.009669206  0.064161042 -0.051689591 -0.084133324
[36]  0.077138144 -0.118042691
> (mypacf <- c(rpacf$acf))
 [1] -0.387789142 -0.319951177  0.183759401 -0.022859452 -0.115688293
 [6]  0.084566008 -0.126198313  0.054065235  0.224259573  0.027737875
[11] -0.002617049 -0.248830369 -0.176753115 -0.111907519  0.213549575
[16] -0.148861623  0.042295962 -0.024005324 -0.126508573  0.132716639
[21]  0.033083795  0.058555628  0.074944978  0.014690499  0.021844877
[26] -0.067469766  0.019096035 -0.042834897  0.030826579  0.011928485
[31] -0.032602748 -0.164934749  0.023471933 -0.087066337 -0.014401888
[36]  0.010021604
> 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/3sysd1229454999.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/4zqfd1229454999.tab") 
> 
> system("convert tmp/1j3zd1229454999.ps tmp/1j3zd1229454999.png")
> system("convert tmp/2jtfk1229454999.ps tmp/2jtfk1229454999.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.392   0.908   2.517