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(11554.5,13182.1,14800.1,12150.7,14478.2,13253.9,12036.8,12653.2,14035.4,14571.4,15400.9,14283.2,14485.3,14196.3,15559.1,13767.4,14634,14381.1,12509.9,12122.3,13122.3,13908.7,13456.5,12441.6,12953,13057.2,14350.1,13830.2,13755.5,13574.4,12802.6,11737.3,13850.2,15081.8,13653.3,14019.1,13962,13768.7,14747.1,13858.1,13188,13693.1,12970,11392.8,13985.2,14994.7,13584.7,14257.8,13553.4,14007.3,16535.8,14721.4,13664.6,16805.9,13829.4,13735.6,15870.5,15962.4,15744.1,16083.7,14863.9,15533.1,17473.1,15925.5,15573.7,17495,14155.8,14913.9,17250.4,15879.8,17647.8,17749.9,17111.8,16934.8,20280,16238.2,17896.1,18089.3,15660,16162.4,17850.1,18520.4,18524.7,16843.7)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = '36'
> 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/1aecp1229269662.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/2kgvx1229269662.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$acf))
 [1]  1.000000000 -0.518568636  0.084283729  0.196933878 -0.148377499
 [6] -0.027963630  0.201400811 -0.209715014  0.076828222  0.116237456
[11] -0.142162158  0.030869056  0.019947757 -0.197920902  0.074194094
[16]  0.118367088 -0.270742569  0.146607392  0.166003076 -0.239315906
[21]  0.098148969  0.157733563 -0.302843149  0.346916409 -0.160571466
[26] -0.079038465  0.254251492 -0.207646047  0.068433490  0.075639631
[31] -0.157797926 -0.005385183  0.106398654 -0.144675057 -0.058517220
[36]  0.123693318 -0.102992010
> (mypacf <- c(rpacf$acf))
 [1] -0.518568636 -0.252541503  0.176370418  0.111366938 -0.090526266
 [6]  0.110711672 -0.021708239 -0.040844227  0.098688708  0.044705445
[11] -0.056597936 -0.112252104 -0.257147702 -0.214951536  0.124356536
[16] -0.037255642 -0.101051300  0.248291329  0.179706652 -0.067944971
[21]  0.154916545  0.008267602  0.175930892 -0.065145458 -0.226804809
[26]  0.013187985 -0.160148312 -0.032731338 -0.039551668 -0.041010887
[31] -0.001725024 -0.060651960  0.002546572 -0.014391454  0.011254883
[36] -0.009764059
> 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/3oykz1229269662.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/4kwcf1229269663.tab") 
> 
> system("convert tmp/1aecp1229269662.ps tmp/1aecp1229269662.png")
> system("convert tmp/2kgvx1229269662.ps tmp/2kgvx1229269662.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.554   0.309   0.664