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 = '1.3'
> 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/1qtjd1229269035.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/20o281229269035.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$acf))
 [1]  1.000000000 -0.525468449  0.093696250  0.180586035 -0.134892223
 [6] -0.036703594  0.195121496 -0.196877940  0.076592150  0.102840794
[11] -0.132449165  0.032884469  0.014818814 -0.188516626  0.072076805
[16]  0.114879888 -0.262908458  0.141057792  0.164138393 -0.231492794
[21]  0.087185338  0.165440992 -0.301265770  0.336810677 -0.150653827
[26] -0.082891190  0.247309332 -0.205021861  0.069928390  0.073155928
[31] -0.154545260 -0.003315727  0.103955307 -0.137888639 -0.063327693
[36]  0.122332021 -0.096535077
> (mypacf <- c(rpacf$acf))
 [1] -0.525468449 -0.252003244  0.161979573  0.114044981 -0.093636491
 [6]  0.098550737 -0.017295014 -0.026330359  0.097001897  0.033911027
[11] -0.052060916 -0.101912743 -0.250881474 -0.213376241  0.120535490
[16] -0.042535449 -0.112187558  0.240019713  0.183154610 -0.065476599
[21]  0.159651173  0.006924342  0.171124233 -0.039893346 -0.223683645
[26]  0.006303906 -0.161734050 -0.035641378 -0.039966689 -0.055221550
[31] -0.001649493 -0.049603820  0.010380578 -0.021145436  0.003575315
[36] -0.004551001
> 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/3jeio1229269035.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/4ns731229269035.tab") 
> 
> system("convert tmp/1qtjd1229269035.ps tmp/1qtjd1229269035.png")
> system("convert tmp/20o281229269035.ps tmp/20o281229269035.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.552   0.307   1.062