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(93.0,99.2,112.2,112.1,103.3,108.2,90.4,72.8,111.0,117.9,111.3,110.5,94.8,100.4,132.1,114.6,101.9,130.2,84.0,86.4,122.3,120.9,110.2,112.6,102.0,105.0,130.5,115.5,103.7,130.9,89.1,93.8,123.8,111.9,118.3,116.9,103.6,116.6,141.3,107.0,125.2,136.4,91.6,95.3,132.3,130.6,131.9,118.6,114.3,111.3,126.5,112.1,119.3,142.4,101.1,97.4,129.1,136.9,129.8,123.9)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '2.0'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/16onc1229685688.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2i1331229685688.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.104715639 -0.030556302  0.241063230 -0.184291224
 [6] -0.117873670  0.151225677 -0.063778401  0.068329084 -0.097082868
[11] -0.079416328  0.036922903 -0.312466325 -0.087021661 -0.011363435
[16] -0.095535164 -0.100468525  0.208928182 -0.121670155 -0.120692673
[21]  0.069111467  0.124727797 -0.156826597  0.206846522  0.060261054
[26] -0.039574791  0.126937847  0.036954803  0.070228018  0.047285219
[31] -0.060765987  0.107666135  0.011830042 -0.164528554  0.129825694
[36] -0.118329130 -0.105356389  0.059802700 -0.052152585 -0.036119588
[41]  0.085674577 -0.067095354 -0.026194199  0.029468490 -0.034470202
[46]  0.012266203  0.004296553 -0.001306452
> (mypacf <- c(rpacf$acf))
 [1] -0.104715639 -0.041982015  0.236336492 -0.146035981 -0.146702807
 [6]  0.079221943  0.033312786  0.104890399 -0.202581185 -0.088682895
[11]  0.031534301 -0.272662474 -0.156385943 -0.155323656  0.044463496
[16] -0.189867367  0.105051185 -0.106068275 -0.163696482 -0.042865040
[21]  0.147882919 -0.150536307  0.029556510 -0.094976727 -0.013382177
[26]  0.024085035 -0.013670793  0.021714380  0.028209293 -0.044032599
[31]  0.026567426 -0.016457876 -0.007931468 -0.076826306 -0.012505634
[36] -0.011502366  0.002294526 -0.079558263  0.132016253  0.088002566
[41]  0.043550231 -0.072679253  0.113667187 -0.002252250  0.025191844
[46] -0.054278614  0.008517210
> 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/392m81229685688.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/465je1229685688.tab") 
> 
> system("convert tmp/16onc1229685688.ps tmp/16onc1229685688.png")
> system("convert tmp/2i1331229685688.ps tmp/2i1331229685688.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.558   0.552   1.641