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(2236,2084.9,2409.5,2199.3,2203.5,2254.1,1975.8,1742.2,2520.6,2438.1,2126.3,2267.5,2201.1,2128.5,2596,2458.2,2210.5,2621.2,2231.4,2103.6,2685.8,2539.3,2462.4,2693.3,2307.7,2385.9,2737.6,2653.9,2545.4,2848.8,2359.5,2488.3,2861.1,2717.9,2844,2749,2652.9,2660.2,3187.1,2774.1,3158.2,3244.6,2665.5,2820.8,2983.4,3077.4,3024.8,2731.8,3046.2,2834.8,3292.8,2946.1,3196.9,3284.2,3003,2979,3137.4,3630.2,3270.7,2942.3)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1dfgr1228320146.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/25rhe1228320146.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000e+00 -9.058115e-02  5.908451e-02  2.390959e-01 -3.406413e-02
 [6] -2.687001e-02  4.702478e-02 -2.540842e-01  3.853424e-02  1.184881e-01
[11] -3.043186e-01 -8.246553e-02  1.537955e-02 -2.032316e-01  1.264507e-01
[16] -5.899971e-02 -1.330521e-01  2.597493e-01 -3.530506e-02 -6.733766e-05
[21]  7.661351e-02  4.335484e-02 -1.533386e-01  2.579686e-01 -2.190560e-01
[26] -1.023045e-01  1.099164e-01 -1.445662e-01 -1.544976e-01 -3.808033e-02
[31] -1.157848e-01  5.158273e-02 -2.331871e-03 -1.014984e-01  9.637701e-02
[36]  8.519196e-02 -5.744791e-02  5.632269e-02  5.590485e-02  8.048171e-02
[41]  1.391506e-01 -3.836197e-02 -8.291499e-03  2.466949e-02 -4.097703e-02
[46] -8.737271e-02  5.023691e-05  5.556902e-03
> (mypacf <- c(rpacf$acf))
 [1] -0.090581152  0.051300481  0.251540575  0.008681602 -0.066614775
 [6] -0.021993649 -0.256845192  0.009209220  0.181474626 -0.187859081
[11] -0.195533095 -0.058471680 -0.088679752  0.166067609  0.019369927
[16] -0.103804293  0.079845234 -0.055343365  0.111333455 -0.041641276
[21]  0.021080766 -0.235234278  0.140676966 -0.076839720 -0.113031429
[26] -0.042692969 -0.023802087 -0.147406202 -0.138412371  0.060170906
[31]  0.063826660 -0.069638267 -0.041119524  0.021301805 -0.081437752
[36] -0.002384485 -0.025400541 -0.015525174  0.125255728 -0.064179261
[41]  0.025724518 -0.097383132 -0.073795991 -0.077772931  0.080567364
[46] -0.014874306  0.070445965
> 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/3kcb11228320146.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/456mc1228320146.tab") 
> 
> system("convert tmp/1dfgr1228320146.ps tmp/1dfgr1228320146.png")
> system("convert tmp/25rhe1228320146.ps tmp/25rhe1228320146.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.583   0.318   0.703