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(19,23,22,23,25,25,23,22,21,16,21,21,26,23,22,22,22,12,20,18,23,25,28,28,29,31,33,32,33,35,33,36,30,34,34,35,33,28,27,23,23,24,24,20,16,6,2,12,19,21,22,20,21,20,19,17,17,17,16,12,11,7,2,9,11,10,7,9,15,5,14,14,17,19,17,16,14,20,16,18,18,14,13,14,14,17,18,15,9,9,9,10,6,12,11,15,19,18,15,16,14,18,18,18,18,22,21,12,19,21,19,22,22,21,19,18,18,19,12,16)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1.3'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1el461229334915.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2zlmh1229334915.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.179890952  0.069612353 -0.086234605 -0.055653099
 [6] -0.085561383  0.027064998  0.089086526  0.030503013  0.003627718
[11] -0.035916351 -0.078572216 -0.128894152  0.007337906 -0.059764990
[16]  0.073564730  0.012038721 -0.063581558 -0.058240314  0.045312094
[21] -0.030713553  0.012627017 -0.007217118  0.146725535 -0.045676979
[26] -0.045353305  0.078202984 -0.103076927  0.060640668  0.110167472
[31]  0.045671414 -0.073146563  0.021737709 -0.115055298 -0.101642657
[36] -0.036950186 -0.020807287
> (mypacf <- c(rpacf$acf))
 [1] -0.179890952  0.038497403 -0.069621577 -0.088093161 -0.107806300
 [6] -0.007120805  0.093621835  0.044027446 -0.004082051 -0.033517096
[11] -0.072478882 -0.140664788 -0.042288245 -0.089212533  0.002652918
[16] -0.003376025 -0.100906465 -0.086824770  0.049907969 -0.000416328
[21] -0.017400497 -0.052553895  0.113597535  0.003013703 -0.084900199
[26]  0.057482115 -0.064967737  0.016615762  0.121118931  0.045851895
[31] -0.074870778  0.011176892 -0.072542298 -0.138574496 -0.077951240
[36] -0.094342531
> 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/3xwsr1229334915.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/4oz4y1229334915.tab") 
> 
> system("convert tmp/1el461229334915.ps tmp/1el461229334915.png")
> system("convert tmp/2zlmh1229334915.ps tmp/2zlmh1229334915.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.545   0.304   0.641