R version 2.7.0 (2008-04-22)
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 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1mbf11227868172.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2vyal1227868172.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.116992316 -0.029948256  0.362526089  0.002754898
 [6] -0.081066832  0.201814133 -0.086267595  0.061918428  0.176561161
[11] -0.098960469 -0.036104848  0.051665983 -0.183566428 -0.018180152
[16]  0.129595897 -0.168064304  0.030790721  0.175324252 -0.163761911
[21] -0.044329942 -0.005644124 -0.117325420  0.124092312 -0.254500391
[26]  0.039114426  0.092242493 -0.144667083 -0.199007988  0.082326258
[31] -0.168652864 -0.132799591  0.033853875 -0.082672562 -0.118266495
[36]  0.100789044 -0.057964668
> (mypacf <- c(rpacf$acf))
 [1] -0.1169923161 -0.0442409938  0.3593029875  0.0971733455 -0.0684481095
 [6]  0.0608820058 -0.1011463046  0.1052151787  0.1373766465 -0.0351066985
[11] -0.1050548956 -0.1209985419 -0.1615788667 -0.0042939849  0.1784449879
[16] -0.0036786221  0.0008902554  0.0682737932 -0.0629055658 -0.0577883294
[21] -0.1278011392 -0.0259271469  0.1895766744 -0.3123758094  0.0662524913
[26] -0.0278193686 -0.0203775592 -0.1585797872 -0.0436464224 -0.0161907228
[31] -0.0646765947 -0.0107495930 -0.0325060933 -0.0668278182  0.0356498387
[36]  0.0500999654
> 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/33n4h1227868172.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/4gw2d1227868172.tab") 
> 
> system("convert tmp/1mbf11227868172.ps tmp/1mbf11227868172.png")
> system("convert tmp/2vyal1227868172.ps tmp/2vyal1227868172.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.465   0.554   1.563