R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(31.48,29.90,33.84,39.12,33.70,25.09,51.44,45.59,52.52,48.56,41.75,49.59,32.75,33.38,35.65,37.03,35.68,20.97,58.55,54.96,65.54,51.57,51.15,46.64,35.70,33.25,35.19,41.67,34.87,21.21,56.13,49.23,59.72,48.10,47.47,50.50,40.06,34.15,36.86,46.36,36.58,23.87,57.28,56.39,57.66,62.30,48.93,51.17,39.64,33.21,38.13,43.29,30.60,21.96,48.03,46.15,50.74,48.11,38.39,44.11)
> par7 = '0.95'
> par6 = 'MA'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1a3tp1261325244.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2vll71261325244.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.371271841  0.172822965  0.003510535 -0.144070891
 [6] -0.259583917 -0.540782027 -0.324668163 -0.206272123 -0.069712091
[11]  0.071029122  0.249326721  0.745101959  0.275900076  0.120188571
[16] -0.003348201 -0.109703546 -0.207941050 -0.445077613 -0.274790551
[21] -0.179760962 -0.079011163  0.023550953  0.171470682  0.536120894
[26]  0.240660395  0.105896741  0.032587238 -0.068790292 -0.113149915
[31] -0.309803990 -0.206963526 -0.151891785 -0.094862542 -0.016327826
[36]  0.065581405  0.304668584
> (mypacf <- c(rpacf$acf))
 [1]  0.371271841  0.040572860 -0.084943385 -0.147493808 -0.178943641
 [6] -0.451554666 -0.023615722 -0.063111400 -0.044110980 -0.009618435
[11]  0.121611511  0.624559969 -0.352500811 -0.155010379 -0.018557285
[16]  0.004152882 -0.035785038  0.132725806  0.029029670 -0.064767956
[21] -0.066603619 -0.028523803 -0.040780698 -0.076282670  0.161773950
[26]  0.003162643  0.012732790 -0.078694687  0.113382702 -0.017631565
[31] -0.033813194 -0.024370648  0.004040219 -0.036242449 -0.102283326
[36] -0.100649612
> 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/3muek1261325244.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/49ki41261325244.tab") 
> 
> try(system("convert tmp/1a3tp1261325244.ps tmp/1a3tp1261325244.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vll71261325244.ps tmp/2vll71261325244.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.550   0.304   0.693