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(78.4,114.6,113.3,117.0,99.6,99.4,101.9,115.2,108.5,113.8,121.0,92.2,90.2,101.5,126.6,93.9,89.8,93.4,101.5,110.4,105.9,108.4,113.9,86.1,69.4,101.2,100.5,98.0,106.6,90.1,96.9,125.9,112.0,100.0,123.9,79.8,83.4,113.6,112.9,104.0,109.9,99.0,106.3,128.9,111.1,102.9,130.0,87.0,87.5,117.6,103.4,110.8,112.6,102.5,112.4,135.6,105.1,127.7,137.0,91.0,90.5,122.4,123.3,124.3,120.0,118.1,119.0,142.7,123.6,129.6,151.6,110.4,99.2,130.5,136.2,129.7,128.0,121.6,135.8,143.8,147.5,136.2,156.6,123.3,100.4)
> par5 = '12'
> par4 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1ymlb1228237331.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2o39g1228237331.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.606900201  0.116186366  0.073740205 -0.066459544
 [6] -0.051964814  0.127942839 -0.101574158 -0.050482293  0.166497892
[11] -0.147351457  0.264823132 -0.303152050  0.114161361 -0.004789547
[16] -0.022389105 -0.050662987  0.097236770 -0.033848322 -0.076809308
[21]  0.120356978 -0.001272670 -0.144865076  0.118903813 -0.037373225
[26] -0.079849042  0.162863516 -0.060357527 -0.078239244  0.093678518
[31] -0.007317879 -0.051099356  0.076301694 -0.136970582  0.120413433
[36]  0.034840402 -0.143123544
> (mypacf <- c(rpacf$acf))
 [1] -0.606900201 -0.399165121 -0.131543671 -0.039186709 -0.148698808
 [6] -0.016315136 -0.014760928 -0.176808246 -0.008598165 -0.028128879
[11]  0.401530259  0.120854294 -0.086221265 -0.144131135 -0.111697438
[16] -0.155211682 -0.104189032  0.098726904 -0.018891822 -0.213425879
[21] -0.009302233 -0.147439768  0.050034932  0.055418515 -0.047095328
[26]  0.093592281  0.125537166 -0.041772735 -0.108546091  0.050905905
[31]  0.060641473 -0.004369389 -0.069127509 -0.069472367  0.137650741
[36] -0.078829870
> 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/32mlg1228237331.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/47jmy1228237331.tab") 
> 
> system("convert tmp/1ymlb1228237331.ps tmp/1ymlb1228237331.png")
> system("convert tmp/2o39g1228237331.ps tmp/2o39g1228237331.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.540   0.322   0.708