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(156.3,151.5,159.1,166.9,160.5,162.8,178.9,148.5,184.1,197,186.8,139.2,162.7,187.5,235.8,219.4,212.4,220.2,197.5,185.6,232.4,223.8,219.4,191.4,210.4,212.6,274.4,256,227.6,261.7,237,234.9,310.6,274.2,288.1,242.5,271.7,282.2,317.4,280.3,322.6,328.2,280.7,288.8,347.9,360.1,348,275.7,332.6,340.8,390.5,351.2,377.4,413.5,366.9,364.8,388,429.8,423.6,326.4)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '0.1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1v9wd1229088336.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2712e1229088336.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.288576880 -0.311577097  0.330136164 -0.215562675
 [6]  0.011257204  0.082681448 -0.208197873  0.077975523  0.106975175
[11]  0.053414942 -0.044530306 -0.186890515  0.107335949  0.067514981
[16] -0.145881421 -0.102288326  0.228550100  0.079571764 -0.144122660
[21]  0.022362821  0.105759743 -0.110518873  0.117231897 -0.069521259
[26] -0.177454508  0.214754591 -0.054137225 -0.014125155  0.004632272
[31] -0.110593024  0.163432760  0.005168664 -0.180228453  0.099113586
[36]  0.034107979 -0.057160633  0.012888473  0.042776349 -0.040892990
[41]  0.037624247  0.052249541 -0.090446667 -0.026835097  0.044629200
[46] -0.008448421 -0.014155315
> (mypacf <- c(rpacf$acf))
 [1] -0.288576880 -0.430722854  0.103391790 -0.250486374  0.041620515
 [6] -0.130532528 -0.157550776 -0.135186327 -0.014125874  0.194537726
[11]  0.029981271 -0.177679563 -0.093431550 -0.028287319 -0.053132441
[16] -0.290485189  0.128383029  0.119045851 -0.002825571 -0.139661812
[21]  0.195156471  0.053073674  0.163691420 -0.099663524  0.037246443
[26]  0.046448129 -0.184680690  0.017350474  0.010427634 -0.004419164
[31] -0.103978945  0.025427128  0.110968888 -0.051784479 -0.004202520
[36] -0.044846442  0.045586253 -0.026971461 -0.093292497  0.020830975
[41]  0.021413177 -0.010979544 -0.122591441 -0.007414523 -0.004787087
[46]  0.017440720
> 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/37f881229088336.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/4ibgu1229088336.tab") 
> 
> system("convert tmp/1v9wd1229088336.ps tmp/1v9wd1229088336.png")
> system("convert tmp/2712e1229088336.ps tmp/2712e1229088336.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.568   0.303   0.685