R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

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> x <- c(105.2,91.5,75.3,60.5,80.4,84.5,93.9,78,92.3,90,72.1,76.9,76,88.7,55.4,46.6,90.9,84.9,89,90.2,72.3,83,71.6,75.4,85.1,81.2,68.7,68.4,93.7,96.6,101.8,93.6,88.9,114.1,82.3,96.4,104,88.2,85.2,87.1,85.5,89.1,105.2,82.9,86.8,112,97.4,88.9,109.4,87.8,90.5,79.3,114.9,118.8,125,96.1,116.7,119.5,104.1,121,127.3,117.7,108,89.4,137.4,142,137.3,122.8,126.1,147.6,115.7,139.2,151.2,123.8,109,112.1,136.4,135.5,138.7,137.5,141.5,143.6,146.5,200.7,196.2)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '0.1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/19xrt1228994427.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/20axf1228994427.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.344141131  0.277083112  0.365694700  0.119428966
 [6]  0.085624931  0.177584368  0.052507032  0.168231717 -0.022010333
[11] -0.041174022 -0.012310632 -0.233362461 -0.130290713 -0.156896817
[16] -0.185458384 -0.099967831 -0.056700109 -0.183201610 -0.014982629
[21] -0.011049890 -0.101273083  0.009200791  0.118169930 -0.071170520
[26]  0.041680727  0.188796746  0.168634038  0.173250501  0.258192399
[31]  0.204228322  0.120542890  0.048791280  0.078450029  0.043536772
[36]  0.018119890  0.017245418  0.061021745 -0.122995633 -0.169151321
[41] -0.148914778 -0.241048238 -0.173344053 -0.097958498 -0.164719914
[46] -0.047669254 -0.084655159 -0.174087896 -0.022017210
> (mypacf <- c(rpacf$acf))
 [1]  0.344141131  0.179963650  0.264434386 -0.109104913 -0.040030945
 [6]  0.093744047 -0.015277455  0.156005093 -0.222023159 -0.036709347
[11] -0.050741424 -0.200919702  0.049550316 -0.151698243  0.076424068
[16] -0.037319021  0.104917097 -0.123120246  0.091498085  0.134931210
[21] -0.144642155  0.129893327  0.056274503 -0.150488639  0.036921053
[26]  0.154786541  0.155785041 -0.043087998  0.188206113 -0.095340527
[31] -0.051387732 -0.030056404 -0.082871439  0.009073785  0.007271393
[36] -0.092464012  0.068964473 -0.169840274 -0.097511272 -0.026001641
[41]  0.067836944 -0.006685022  0.026256770  0.080696465 -0.028868350
[46] -0.053881906  0.050247507 -0.003426119
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3rl1q1228994427.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/freestat/rcomp/tmp/4digy1228994427.tab") 
> 
> system("convert tmp/19xrt1228994427.ps tmp/19xrt1228994427.png")
> system("convert tmp/20axf1228994427.ps tmp/20axf1228994427.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.865   0.466   1.709