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(101,104,99,105,107,111,117,119,127,128,135,132,136,143,142,153,145,138,148,152,169,169,161,174,179,191,190,182,175,181,197,194,197,216,221,218,230,227,204,197,199,208,191,202,211,224,224,231,244,235,250,266,288,283,295,312,334,348,383,407)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1jwqa1228759766.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2x51o1228759766.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.203012950  0.066302234  0.150153918  0.227745906
 [6]  0.046914602 -0.041834840  0.219137059 -0.016123331 -0.132011637
[11]  0.087764109  0.275752165 -0.025594509 -0.119725236 -0.037614158
[16]  0.132308350 -0.141926488 -0.185644496 -0.056350552 -0.198988519
[21] -0.151524698 -0.035466390  0.080356774 -0.026171719 -0.071735742
[26]  0.127082454  0.084321239  0.003018025 -0.027064331 -0.059011624
[31] -0.086588480 -0.076755813 -0.017378028  0.040213203 -0.065855813
[36]  0.021814934  0.002084321
> (mypacf <- c(rpacf$acf))
 [1]  0.20301295  0.02616641  0.13749062  0.18165149 -0.03865191 -0.07798849
 [7]  0.21022158 -0.14895133 -0.11941131  0.15770342  0.20975842 -0.12140690
[13] -0.06715600 -0.14006649  0.13227695 -0.11107552 -0.17590843 -0.09253330
[19] -0.09828942  0.05468213  0.07566077 -0.03218677  0.10969422  0.08935709
[25]  0.10009589 -0.04000846  0.02091902 -0.01833880 -0.07995311 -0.10958922
[31] -0.02980169 -0.04829897  0.04986267 -0.04211972  0.02247181 -0.11638931
> 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/3qxly1228759766.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/4w9fo1228759766.tab") 
> 
> system("convert tmp/1jwqa1228759766.ps tmp/1jwqa1228759766.png")
> system("convert tmp/2x51o1228759766.ps tmp/2x51o1228759766.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.464   0.552   1.565