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(15
+ ,14.4
+ ,13.5
+ ,12.8
+ ,12.3
+ ,12.2
+ ,14.5
+ ,17.2
+ ,18
+ ,18.1
+ ,18
+ ,18.3
+ ,18.7
+ ,18.6
+ ,18.3
+ ,17.9
+ ,17.4
+ ,17.4
+ ,20.1
+ ,23.2
+ ,24.2
+ ,24.2
+ ,23.9
+ ,23.8
+ ,23.8
+ ,23.3
+ ,22.4
+ ,21.5
+ ,20.5
+ ,19.9
+ ,22
+ ,24.9
+ ,25.7
+ ,25.3
+ ,24.4
+ ,23.8
+ ,23.5
+ ,23
+ ,22.2
+ ,21.4
+ ,20.3
+ ,19.5
+ ,21.7
+ ,24.7
+ ,25.3
+ ,24.9
+ ,24.1
+ ,23.4
+ ,23.1
+ ,22.4
+ ,21.3
+ ,20.3
+ ,19.3
+ ,18.7
+ ,21
+ ,24
+ ,24.8
+ ,24.2
+ ,23.3
+ ,22.7
+ ,22.3
+ ,21.8
+ ,21.2
+ ,20.5
+ ,19.7
+ ,19.2
+ ,21.2
+ ,23.9
+ ,24.8
+ ,24.2
+ ,23
+ ,22.2
+ ,21.8
+ ,21.2
+ ,20.5
+ ,19.7
+ ,19
+ ,18.4
+ ,20.7
+ ,24.5
+ ,26
+ ,25.2
+ ,24.1
+ ,23.7
+ ,23.5
+ ,23.1
+ ,22.7
+ ,22.5
+ ,21.7
+ ,20.5
+ ,21.9
+ ,22.9
+ ,21.5
+ ,19
+ ,17
+ ,16.1
+ ,15.9
+ ,15.7
+ ,15.1
+ ,14.8
+ ,14.3
+ ,14.5
+ ,18.9
+ ,21.6
+ ,20.4
+ ,17.9
+ ,15.7
+ ,14.5
+ ,14
+ ,13.9
+ ,14.4
+ ,15.8
+ ,15.6
+ ,14.7
+ ,16.7
+ ,17.9
+ ,18.7
+ ,20.1
+ ,19.5
+ ,19.4
+ ,18.6
+ ,17.8
+ ,17.1
+ ,16.5
+ ,15.5
+ ,14.9
+ ,18.6
+ ,19.1
+ ,18.8
+ ,18.2
+ ,18
+ ,19
+ ,20.7
+ ,21.2
+ ,20.7
+ ,19.6
+ ,18.6
+ ,18.7
+ ,23.8
+ ,24.9
+ ,24.8
+ ,23.8
+ ,22.3
+ ,21.7
+ ,20.7
+ ,19.7
+ ,18.4
+ ,17.4
+ ,17
+ ,18
+ ,23.8
+ ,25.5
+ ,25.6
+ ,23.7
+ ,22
+ ,21.3
+ ,20.7
+ ,20.4
+ ,20.3
+ ,20.4
+ ,19.8
+ ,19.5
+ ,23.1
+ ,23.5
+ ,23.5
+ ,22.9
+ ,21.9
+ ,21.5
+ ,20.5
+ ,20.2
+ ,19.4
+ ,19.2
+ ,18.8
+ ,18.8
+ ,22.6
+ ,23.3
+ ,23
+ ,21.4
+ ,19.9
+ ,18.8
+ ,18.6
+ ,18.4
+ ,18.6
+ ,19.9
+ ,19.2
+ ,18.4
+ ,21.1
+ ,20.5
+ ,19.1
+ ,18.1
+ ,17
+ ,17.1
+ ,17.4
+ ,16.8
+ ,15.3
+ ,14.3
+ ,13.4
+ ,15.3
+ ,22.1
+ ,23.7
+ ,22.2
+ ,19.5
+ ,16.6
+ ,17.3
+ ,19.8
+ ,21.2
+ ,21.5
+ ,20.6
+ ,19.1
+ ,19.6
+ ,23.5
+ ,24
+ ,23.2
+ ,21.2)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1moon1262213621.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2dskf1262213621.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.88201879  0.66325647  0.46964844  0.35362234  0.31092763
 [7]  0.28679347  0.25425437  0.22883622  0.24986275  0.32844630  0.44086768
[13]  0.49202041  0.38546002  0.22034467  0.07841648 -0.01292223 -0.05496799
[19] -0.07979555 -0.09276959 -0.08307913 -0.03153637  0.05789146  0.15763924
[25]  0.18637461  0.07400233 -0.07747073 -0.19381757 -0.25131987 -0.25891849
[31] -0.25112297 -0.23630701 -0.20776839 -0.14720249 -0.05624164  0.03921193
[37]  0.06455956 -0.03808764 -0.17399584 -0.27512448 -0.32174586 -0.32681951
[43] -0.32224961 -0.31162878 -0.28106100 -0.20764267 -0.09452250  0.02469215
[49]  0.06675989 -0.02257439 -0.14929419 -0.24244570 -0.27861476 -0.27244371
[55] -0.25927357 -0.24894273 -0.22753246 -0.17182271 -0.08220302  0.01234025
[61]  0.03525459
> (mypacf <- c(rpacf$acf))
 [1]  0.882018787 -0.516569983  0.233871273  0.081175249  0.075988941
 [6] -0.105367336  0.049822162  0.105702093  0.218139851  0.147952453
[11]  0.172277790 -0.266033182 -0.489956564  0.399077043 -0.208158060
[16] -0.200868633  0.023484733  0.118463461  0.055639363 -0.017186936
[21]  0.105018278 -0.004815009 -0.119086726 -0.107488479 -0.169208322
[26]  0.109047499 -0.045723666  0.028546946  0.006491885  0.054614865
[31] -0.022728080 -0.002436176  0.046073125 -0.043555583 -0.088490414
[36] -0.031244116 -0.061189746  0.008458478 -0.005775586 -0.037909609
[41] -0.077319921 -0.030408695 -0.018297040  0.067666139  0.079208533
[46]  0.054176735  0.008802772 -0.072508808 -0.058828064 -0.005517911
[51] -0.040314385 -0.052425274 -0.031073605 -0.007644563 -0.046830251
[56]  0.032428603 -0.013619429 -0.046422691 -0.049142562 -0.043864057
> 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/3q75k1262213621.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/4lto61262213621.tab") 
> try(system("convert tmp/1moon1262213621.ps tmp/1moon1262213621.png",intern=TRUE))
character(0)
> try(system("convert tmp/2dskf1262213621.ps tmp/2dskf1262213621.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.612   0.317   0.718