R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(144.63,124.24,135.21,119.80,102.79,109.42,99.61,83.02,95.29,116.18,81.25,71.35,128.63,134.85,167.22,147.01,104.08,111.61,82.63,80.48,93.46,104.55,87.97,63.36,136.50,117.44,133.53,121.53,102.82,124.11,82.47,85.96,90.34,90.80,84.80,49.10,146.65,135.41,158.36,124.67,122.70,108.72,83.33,79.52,83.55,96.35,79.77,42.99,142.84,121.85,140.67,118.67,115.19,118.30,93.70,85.76,93.73,113.70,90.93,58.46,144.86,138.19,137.77,146.55,118.52,123.15,92.73,81.64,94.17,103.34,71.46,52.82,116.78,110.56,127.52,120.22,94.15,104.45,87.32,77.88,91.95,103.19,85.96)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1g6241261271827.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2on391261271827.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.375561908  0.152087354 -0.030006956 -0.212151641
 [6] -0.282185391 -0.481416821 -0.296713600 -0.212804311 -0.078918147
[11]  0.047559878  0.260464981  0.773743759  0.284511419  0.133395210
[16] -0.002179342 -0.179114584 -0.256294844 -0.459641206 -0.281467082
[21] -0.209089018 -0.112627688  0.037125003  0.239758207  0.643060646
[26]  0.272726076  0.121142766  0.016026578 -0.125564580 -0.193107568
[31] -0.365605827 -0.214645059 -0.197968852 -0.120503254  0.014350245
[36]  0.166539788  0.482169919
> (mypacf <- c(rpacf$acf))
 [1]  0.375561908  0.012853560 -0.106214606 -0.199075569 -0.154753894
 [6] -0.376134903 -0.048980452 -0.152623934 -0.098707208 -0.118006600
[11]  0.122131518  0.678130841 -0.386993358 -0.089536829  0.069740358
[16] -0.024033239 -0.117164243 -0.035637372  0.010766083 -0.105236714
[21] -0.064198157  0.169103100  0.006993126 -0.119389611  0.095067811
[26] -0.093000584 -0.094067837  0.101752081  0.103861070 -0.005220328
[31] -0.043434374 -0.033162697  0.072309888 -0.085162702 -0.100864708
[36] -0.036128035
> 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/38i4l1261271827.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/40e6z1261271827.tab") 
> 
> try(system("convert tmp/1g6241261271827.ps tmp/1g6241261271827.png",intern=TRUE))
character(0)
> try(system("convert tmp/2on391261271827.ps tmp/2on391261271827.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.542   0.314   0.668