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(102.80,118.72,119.01,118.61,120.43,111.83,116.79,131.71,120.57,117.83,130.80,107.46,112.09,129.47,119.72,134.81,135.80,129.27,126.94,153.45,121.86,133.47,135.34,117.10,120.65,132.49,137.60,138.69,125.53,133.09,129.08,145.94,129.07,139.69,142.09,137.29,127.03,137.25,156.87,150.89,139.14,158.30,149.00,158.36,168.06,153.38,173.86,162.47,145.17,168.89,166.64,140.07,128.84,123.40,120.30,129.66,118.12,113.91,131.09,119.14,115.33)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1keck1259965567.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2zn0w1259965567.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.65223147  0.57300877  0.63308677  0.46474463  0.40779956
 [7]  0.37901236  0.18542971  0.18090890  0.12633616 -0.04242735  0.02894152
[13]  0.10715026 -0.10668617 -0.11813473 -0.09441184 -0.08880929 -0.07475116
[19] -0.07941865 -0.08242496 -0.04378523 -0.11563721 -0.08408072 -0.05332852
[25] -0.02320660 -0.06733475 -0.17450996 -0.11179001 -0.05103079 -0.13680852
[31] -0.11123652 -0.09636832 -0.17786609 -0.20753582 -0.19154402 -0.25957504
[37] -0.19427261
> (mypacf <- c(rpacf$acf))
 [1]  0.652231472  0.256881995  0.349952236 -0.134715214 -0.007375342
 [6] -0.051365910 -0.245179590  0.038696265 -0.069992460 -0.132564558
[11]  0.160731846  0.287136132 -0.250630243 -0.191459136 -0.070207441
[16]  0.254732364 -0.019435590  0.005183978  0.086303554 -0.061408262
[21] -0.235241996  0.131231159 -0.061946352 -0.006598536  0.032346067
[26] -0.148468977  0.067120335 -0.011931836  0.006247086 -0.013377558
[31] -0.068074449 -0.105667953 -0.105852847 -0.056383992 -0.076994355
[36]  0.005459089
> 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/3epre1259965567.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/4gufs1259965567.tab") 
> system("convert tmp/1keck1259965567.ps tmp/1keck1259965567.png")
> system("convert tmp/2zn0w1259965567.ps tmp/2zn0w1259965567.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.533   0.322   0.703