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(105.2,91.5,75.3,60.5,80.4,84.5,93.9,78,92.3,90,72.1,76.9,76,88.7,55.4,46.6,90.9,84.9,89,90.2,72.3,83,71.6,75.4,85.1,81.2,68.7,68.4,93.7,96.6,101.8,93.6,88.9,114.1,82.3,96.4,104,88.2,85.2,87.1,85.5,89.1,105.2,82.9,86.8,112,97.4,88.9,109.4,87.8,90.5,79.3,114.9,118.8,125,96.1,116.7,119.5,104.1,121,127.3,117.7,108,89.4,137.4,142,137.3,122.8,126.1,147.6,115.7,139.2,151.2,123.8,109,112.1,136.4,135.5,138.7,137.5,141.5,143.6,146.5,200.7,196.2)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1tq9w1228837171.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2v2gm1228837171.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.745101714  0.583457122  0.575582218  0.560272072
 [6]  0.542115237  0.494423525  0.507284333  0.465768226  0.381881723
[11]  0.388845389  0.481134725  0.551578532  0.389071727  0.327073261
[16]  0.332571584  0.285748273  0.297836414  0.256547790  0.260342050
[21]  0.184216647  0.096341803  0.120977385  0.180240522  0.198739120
[26]  0.088110436  0.052788872  0.050654460  0.011866403  0.022949908
[31] -0.002970991 -0.021533740 -0.074862105 -0.120372812 -0.107161153
[36] -0.066751666 -0.028742239 -0.106916216 -0.129588211 -0.147719696
[41] -0.169533158 -0.159533010 -0.196476881 -0.206788175 -0.217971791
[46] -0.238476402 -0.224553164 -0.183243693 -0.143105915
> (mypacf <- c(rpacf$acf))
 [1]  0.745101714  0.063577041  0.273381846  0.095570599  0.120626080
 [6] -0.007441647  0.157250876 -0.076918720 -0.073039552  0.081695991
[11]  0.239889299  0.193486193 -0.344378873  0.036138703 -0.091188869
[16] -0.048546947  0.082149200 -0.126434802  0.047412743 -0.149009746
[21]  0.003665031 -0.046338576  0.071762222  0.012795299 -0.097094076
[26]  0.003424368 -0.062137533  0.032100341 -0.068886581 -0.004619022
[31] -0.080799985  0.048945299  0.034098820 -0.121917381  0.108861109
[36]  0.029414184 -0.039345743 -0.005985419 -0.092082367  0.028348098
[41] -0.094660908 -0.012804539 -0.047097054  0.089514647  0.025008294
[46] -0.025999418  0.035677832 -0.002094461
> 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/337ta1228837171.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/4ip761228837171.tab") 
> 
> system("convert tmp/1tq9w1228837171.ps tmp/1tq9w1228837171.png")
> system("convert tmp/2v2gm1228837171.ps tmp/2v2gm1228837171.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.585   0.332   2.648