R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(105.3,101.3,108.4,107.4,109.1,109.5,111.4,110.1,117.0,129.6,113.5,113.3,110.1,107.4,110.1,112.5,106.0,117.6,117.8,113.5,121.2,130.4,115.2,117.9,110.7,107.6,124.3,115.1,112.5,127.9,117.4,119.3,130.4,126.0,125.4,130.5,115.9,108.7,124.0,119.4,118.6,131.3,111.1,124.8,132.3,126.7,131.7,130.9,122.1,113.2,133.6,119.2,129.4,131.4,117.1,130.5,132.3,140.8,137.5,128.6,126.7,120.8,139.3,128.6,131.3,136.3,128.5)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1y2us1196784116.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2re4o1196784116.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.534449532  0.449945744  0.509269393  0.245379209
 [6]  0.336898425  0.421372546  0.241057647  0.202190615  0.374106493
[11]  0.232175572  0.333202722  0.551850642  0.222827260  0.241211958
[16]  0.208753374 -0.009242479  0.113168856  0.152678875 -0.006692247
[21]  0.011013082  0.071354052  0.001542191  0.120577495  0.186979953
[26]  0.001815882  0.030429792 -0.020543108 -0.185882461 -0.078400247
[31] -0.067488030 -0.140119295 -0.114319771 -0.145310232 -0.170234857
[36] -0.074410361 -0.019755056
> (mypacf <- c(rpacf$acf))
 [1]  0.534449532  0.230008107  0.297351091 -0.221674396  0.204648664
 [6]  0.189248667 -0.064160244 -0.173176126  0.336289936 -0.006404775
[11]  0.157487436  0.267291994 -0.268081838 -0.108586884 -0.200535643
[16] -0.053542514 -0.006874071  0.026720598 -0.040684595 -0.035633643
[21] -0.063522851  0.149772616 -0.038841802 -0.048769089  0.018465291
[26] -0.031017161 -0.013545519 -0.134160505  0.002709573  0.033083396
[31]  0.061187880 -0.103127327 -0.071896945 -0.032488195  0.014165752
[36]  0.038077459
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 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 1:par1) {
+ 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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3y4eu1196784116.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-1,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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4jjd61196784116.tab") 
> 
> system("convert tmp/1y2us1196784116.ps tmp/1y2us1196784116.png")
> system("convert tmp/2re4o1196784116.ps tmp/2re4o1196784116.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.804   0.321   0.920