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(101,88,108,116,104,110,105,107,124,109,102,125,102,101,116,114,115,119,108,110,120,113,111,121,99,104,117,108,122,122,111,111,131,108,118,119,104,105,118,124,123,114,119,116,129,112,123,124,117,110,118,135,127,117,137,130,132,142,122,126)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1eivh1227868277.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2ylv11227868277.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.533999185 -0.125471501  0.317640952 -0.109517374
 [6] -0.164194745  0.244927164 -0.195505044  0.013598055  0.175423903
[11] -0.146056365 -0.016348610  0.141817837 -0.175819204  0.006013655
[16]  0.192266866 -0.210562421  0.023083466  0.209409353 -0.202936090
[21]  0.050609934  0.048998167 -0.150268334  0.274230759 -0.300556223
[26]  0.109677186  0.124395929 -0.063674341 -0.166167613  0.233827166
[31] -0.117723468 -0.058882427  0.115947978 -0.028722467 -0.112713530
[36]  0.166798858 -0.052372053
> (mypacf <- c(rpacf$acf))
 [1] -0.533999185 -0.574427609 -0.197491067 -0.010419427 -0.136576669
 [6]  0.022944064 -0.187864336 -0.202275603 -0.014969839  0.044397415
[11]  0.040350470  0.046365859 -0.132024874 -0.270894482 -0.064379463
[16] -0.042482649 -0.077463548  0.053558208 -0.005050954  0.042655105
[21] -0.073745305 -0.239158056  0.255527175 -0.143759219 -0.039329615
[26] -0.047783216  0.099942623 -0.030322476 -0.067011872 -0.026107890
[31] -0.076058656 -0.038163485  0.005671721 -0.086324025 -0.106209755
[36] -0.048352227
> 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/3uqjz1227868277.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/49z701227868277.tab") 
> 
> system("convert tmp/1eivh1227868277.ps tmp/1eivh1227868277.png")
> system("convert tmp/2ylv11227868277.ps tmp/2ylv11227868277.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.541   0.296   0.735