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(5.5,5.3,5.2,5.3,5.3,5,4.8,4.9,5.3,6,6.2,6.4,6.4,6.4,6.2,6.1,6,5.9,6.2,6.2,6.4,6.8,6.9,7,7,6.9,6.7,6.6,6.5,6.4,6.5,6.5,6.6,6.7,6.8,7.2,7.6,7.6,7.3,6.4,6.1,6.3,7.1,7.5,7.4,7.1,6.8,6.9,7.2,7.4,7.3,6.9,6.9,6.8,7.1,7.2,7.1,7,6.9,7,7.4,7.5,7.5,7.4,7.3,7,6.7,6.5,6.5,6.5,6.6,6.8,6.9,6.9,6.8,6.8,6.5,6.1,6,5.9,5.8,5.9,5.9,6.2,6.3,6.2,6,5.8,5.5,5.5,5.7,5.8)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1z0601228851507.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2hawq1228851507.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.458251753 -0.177721114 -0.578856851 -0.497728400
 [6] -0.093208661  0.185986338  0.253550641  0.198762825  0.057144474
[11] -0.013430711 -0.060824442 -0.165197589 -0.078398673  0.033555118
[16]  0.029826455  0.002666538 -0.080498576  0.009023161  0.054630030
[21]  0.118747091  0.034357957 -0.037216429 -0.113237258 -0.130305249
[26] -0.027219364  0.063301574  0.136811121  0.054645208 -0.067263910
[31] -0.162044731 -0.083888902  0.082096664  0.193575836  0.091425910
[36] -0.089910666 -0.166655916 -0.087500885  0.033595592  0.102134115
[41]  0.084816324  0.036922993 -0.017615022 -0.039104476 -0.070461036
[46] -0.016960482  0.050603821  0.096960090  0.016267998
> (mypacf <- c(rpacf$acf))
 [1]  0.458251753 -0.490776161 -0.387757743 -0.146977230 -0.029939125
 [6] -0.209888628 -0.106947423  0.070701255 -0.016947596  0.073907846
[11]  0.067757740 -0.121503342  0.171576621  0.078254880 -0.199099733
[16] -0.046776137 -0.077152837  0.039111766 -0.176289878  0.116935745
[21] -0.117567647  0.089096799 -0.023477482 -0.143127589  0.097275442
[26]  0.025581311  0.005108285 -0.175339609 -0.042393329 -0.117313892
[31] -0.022537259  0.054491903 -0.015264303 -0.094379920  0.078024622
[36] -0.071920222  0.093488656 -0.103354304  0.093599240 -0.087186884
[41]  0.040701072 -0.037003136 -0.056546675  0.047080470  0.022308110
[46]  0.083824714 -0.046203700 -0.010012965
> 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/3bdjd1228851507.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/4rawq1228851507.tab") 
> 
> system("convert tmp/1z0601228851507.ps tmp/1z0601228851507.png")
> system("convert tmp/2hawq1228851507.ps tmp/2hawq1228851507.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.585   0.324   0.684