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(6.2,6.1,5.9,5.6,5.5,5.5,5.6,5.7,5.6,5.4,5.3,5.3,5.4,5.5,5.6,5.7,5.8,5.8,5.7,5.9,6.1,6.4,6.4,6.3,6.2,6.2,6.3,6.5,6.6,6.6,6.7,6.6,6.7,7,7.2,7.3,7.5,7.6,7.7,7.8,7.8,7.7,7.6,7.6,7.7,7.8,7.8,7.8,7.7,7.6,7.4,7.1,7.1,7.3,7.6,7.8,7.7,7.6,7.5,7.5,7.5,7.6,7.6,7.7,7.8,7.7,7.6,7.6,7.6,7.7,7.8,7.8,7.9,7.9,7.8,7.8,7.7,7.5,7.1,6.9,7.1,7.1,7.1,7,6.9,6.8,6.7,6.8,6.8,6.7,6.8,6.7,6.6,6.4,6.4,6.4,6.5,6.5,6.4,6.3,6.2,6.3)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/15x0m1228578448.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2r8zh1228578448.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.98030501  0.94435724  0.90497551  0.86826984  0.83665427
 [7]  0.80440244  0.76706050  0.72329043  0.67242789  0.61774778  0.56259047
[13]  0.51054898  0.46264320  0.41874214  0.37398025  0.32635517  0.27907630
[19]  0.23236819  0.18693261  0.14336839  0.09871878  0.05482707  0.01043009
[25] -0.02862414 -0.05944438 -0.08689617 -0.11606961 -0.14871443 -0.18228557
[31] -0.21219820 -0.23479380 -0.25302913 -0.26919660 -0.28565413 -0.30224266
[37] -0.31826043
> (mypacf <- c(rpacf$acf))
 [1]  0.980305010 -0.426661173  0.078064257  0.061785974  0.057287993
 [6] -0.144303107 -0.110183179 -0.090258947 -0.128465567 -0.052082929
[11] -0.035718803  0.036090248  0.008782560  0.045477071 -0.095062549
[16] -0.028908931  0.064952320 -0.056458485 -0.051196074 -0.034471295
[21] -0.105959784  0.009331975 -0.089638652  0.171733244  0.073806222
[26] -0.080508738 -0.116043425 -0.040358589  0.034031293  0.033071832
[31]  0.051755343 -0.117984826 -0.011441170 -0.062075366  0.047884686
[36] -0.004692711
> 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/3oajy1228578448.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/468ne1228578448.tab") 
> 
> system("convert tmp/15x0m1228578448.ps tmp/15x0m1228578448.png")
> system("convert tmp/2r8zh1228578448.ps tmp/2r8zh1228578448.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.592   0.352   0.774