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(181.10,191.20,206.20,212.00,224.70,231.30,229.30,227.40,253.90,265.90,277.70,292.10,282.90,292.80,311.00,330.90,350.00,348.50,360.90,345.90,308.80,320.00,322.00,322.90,343.30,354.70,376.60,383.20,392.50,388.20,407.40,412.50,419.80,418.10,389.20,391.60,412.90,385.90,385.50,350.20,336.30,318.50,345.40,377.40,359.50,315.60,307.80,277.40,186.90,160.00,149.10,148.90,137.90,134.00,157.50,175.10,181.00,182.20,207.80,219.40)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '1'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1mdjo1260717131.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2cle41260717131.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.253836625 -0.002747495  0.085656286 -0.081298716
 [6] -0.113699159  0.014004378  0.083561744  0.075704260 -0.143121421
[11] -0.038311664  0.003192070 -0.231045722 -0.126059081  0.063708869
[16] -0.038355755 -0.127609320 -0.031707074 -0.073917300 -0.030024564
[21] -0.051208541 -0.013681313 -0.060947465 -0.163089771 -0.105814906
[26]  0.132511718  0.031421276  0.160436229  0.240170534 -0.006669676
[31] -0.066866034 -0.065527585 -0.034948483 -0.012161517 -0.008139346
[36]  0.046101439 -0.038845994
> (mypacf <- c(rpacf$acf))
 [1]  0.253836625 -0.071807289  0.112416757 -0.145934481 -0.046781340
 [6]  0.041049827  0.088662612  0.045911663 -0.215712457  0.051887925
[11] -0.010662155 -0.188459389 -0.039779071  0.053864430 -0.035085306
[16] -0.133438598 -0.009213374 -0.097339816  0.082302105 -0.068697172
[21] -0.072656279 -0.119294008 -0.094847077 -0.081600192  0.123621417
[26] -0.026606243  0.152968271  0.076230430 -0.117134629 -0.047696998
[31] -0.073583393  0.018576804 -0.090567271 -0.035737738 -0.072875276
[36] -0.121949032
> 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/3r6141260717131.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/4kuv21260717131.tab") 
> 
> try(system("convert tmp/1mdjo1260717131.ps tmp/1mdjo1260717131.png",intern=TRUE))
character(0)
> try(system("convert tmp/2cle41260717131.ps tmp/2cle41260717131.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.538   0.312   0.637