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(65.4,72.2,80.4,77.7,76.5,100.1,73.5,77.3,98.6,112.4,77.3,139.3,75.4,64.2,86.8,79.1,71.7,100,82.1,74.8,92.3,83.3,83.7,148,71.4,71.2,84.6,80.9,80.6,105.5,79.2,78.4,92.6,88.3,98.2,157.4,73.9,80.9,93,84.9,96.2,106.5,81.7,82.9,96,92.6,116.5,155,95.1,86.2,105,89.7,97.1,120.8,92.2,98.8,104.1,106.5,113.4,192.4,103.6,97.6,99.9,106.4,104.8,114.1,93,90.2,108.8,108.7,125.2,180.4,91.6,87.1,98.3)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1fwuv1261057785.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2yye41261057785.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000e+00  1.607242e-01  3.050759e-02  1.838529e-01 -4.371906e-02
 [6]  2.430368e-05  4.261085e-01 -1.262164e-02 -6.668519e-02  1.345422e-01
[11] -4.001875e-02  1.122841e-01  7.504255e-01  8.102404e-02  1.047849e-03
[16]  1.203163e-01 -9.147334e-02 -3.040075e-02  2.932111e-01 -7.909203e-02
[21] -1.000039e-01  4.171520e-02 -1.328360e-01 -3.286890e-04  5.066219e-01
[26]  7.196733e-04 -4.325390e-02  1.220322e-02 -1.540395e-01 -8.482116e-02
[31]  1.575048e-01 -1.349882e-01 -1.437804e-01 -6.137546e-02 -1.925314e-01
[36] -8.423285e-02  3.283197e-01
> (mypacf <- c(rpacf$acf))
 [1]  0.160724170  0.004799310  0.182931439 -0.107929544  0.025862421
 [6]  0.416204647 -0.165763320 -0.064276048  0.053641321  0.011595584
[11]  0.187142209  0.665640162 -0.190366363 -0.083996146 -0.131324915
[16] -0.038912467 -0.029120501 -0.202193983 -0.007316885  0.029149410
[21] -0.049031398 -0.052298742 -0.148861045  0.017670579  0.040957812
[26] -0.025122262 -0.110228707 -0.023673220  0.020394938 -0.031491120
[31] -0.043897775 -0.058731176 -0.023674952  0.050443047 -0.040931752
[36]  0.009042052
> 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/3fcke1261057785.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/4f6pk1261057785.tab") 
> 
> try(system("convert tmp/1fwuv1261057785.ps tmp/1fwuv1261057785.png",intern=TRUE))
character(0)
> try(system("convert tmp/2yye41261057785.ps tmp/2yye41261057785.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.581   0.344   0.755