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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> x <- c(106,82,114,118,105,105,103,107,123,112,104,122,108,94,120,118,117,113,106,108,122,115,110,120,104,96,121,111,120,114,107,108,127,105,119,121,106,97,119,122,121,106,114,112,127,109,118,123,115,105,116,131,121,104,127,126,124,132,117,123)
> par5 = '12'
> par4 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1uftl1227867335.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2o7fe1227867335.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.383752921 -0.306943219  0.195122183  0.011851205
 [6] -0.122229844  0.274409129 -0.255242794  0.112908461  0.123687772
[11] -0.286289557 -0.129866167  0.558295216 -0.219712622 -0.146847346
[16]  0.052556515  0.007226788 -0.032591077  0.143139334 -0.145356545
[21]  0.095460351  0.028872059 -0.224192879  0.064036370  0.236898889
[26] -0.122021368 -0.038876469 -0.053033168  0.082736239 -0.017519198
[31] -0.002287335 -0.022868800  0.086579742 -0.044039169 -0.102254597
[36] -0.004269008  0.187394131
> (mypacf <- c(rpacf$acf))
 [1] -0.383752921 -0.532651079 -0.310766547 -0.326093375 -0.452097847
 [6] -0.086270817 -0.385609104 -0.031998235  0.233410538  0.105857006
[11] -0.414096800 -0.138175440 -0.122808938  0.034418995  0.042369615
[16]  0.158413118  0.124216539 -0.028472978 -0.022957481 -0.059079456
[21] -0.064660654 -0.234789191 -0.008170317 -0.060786254 -0.010846927
[26]  0.015707632 -0.130021946  0.065301082  0.010659567  0.079073769
[31] -0.004316773 -0.056807044 -0.053633962 -0.018400255 -0.179723143
[36] -0.094509630
> 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/3ul401227867335.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/4lgar1227867335.tab") 
> 
> system("convert tmp/1uftl1227867335.ps tmp/1uftl1227867335.png")
> system("convert tmp/2o7fe1227867335.ps tmp/2o7fe1227867335.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.545   0.295   0.697