R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(85.0,95.9,108.9,96.2,100.1,105.7,64.5,66.8,110.3,96.1,102.5,97.6,83.6,86.5,96.0,91.1,87.2,84.5,59.2,61.5,98.8,97.9,92.7,84.2,74.5,79.7,86.8,79.8,87.0,91.4,58.7,62.8,87.9,90.4,80.6,73.5,71.4,70.6,78.3,76.0,77.4,80.9,63.4,58.1,88.2,81.2,84.9,76.4,71.5,76.1,82.9,78.0,82.0,84.7,55.7,59.5,83.2,87.6,76.2,76.4,68.3,70.0,76.3,70.9,72.4,80.1,57.4,62.7,82.6,88.9,80.4,72.0,69.4,69.2,77.3,79.4,78.6,76.1,61.8,59.4,78.1)
> par5 = '12'
> par4 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1j64f1229081251.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/26l4y1229081251.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.371113977  0.358238173  0.347368278  0.176499788
 [6]  0.076021061  0.169519853  0.140172552  0.124363315  0.105044857
[11]  0.115151639 -0.005094883 -0.240681367  0.015651095 -0.143772203
[16] -0.008889956 -0.048221863  0.116370384  0.195931465  0.129772543
[21]  0.121520479  0.250302033  0.060294900  0.165789447  0.140675961
[26] -0.003445616  0.061941227  0.001518188  0.063781470 -0.076850818
[31] -0.127546897 -0.070565837 -0.154939767 -0.282160384 -0.181113816
[36] -0.278087590 -0.126760745
> (mypacf <- c(rpacf$acf))
 [1]  0.371113977  0.255733656  0.190491706 -0.059207428 -0.118811618
 [6]  0.111487856  0.099025048  0.048735378 -0.045748766  0.002731275
[11] -0.097498248 -0.349118421  0.194505594 -0.023391671  0.212546114
[16] -0.158479233  0.174050434  0.290518386 -0.019359849 -0.023514219
[21]  0.147615288 -0.010289574  0.021085194 -0.274827106 -0.071500278
[26] -0.082263703 -0.055420060 -0.046606281 -0.005053475 -0.055794297
[31]  0.028725298 -0.035220820 -0.025813569 -0.046292528 -0.010262407
[36]  0.054704624
> 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/30q9t1229081251.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/4kstr1229081251.tab") 
> 
> system("convert tmp/1j64f1229081251.ps tmp/1j64f1229081251.png")
> system("convert tmp/26l4y1229081251.ps tmp/26l4y1229081251.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.543   0.335   0.654