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(61.5,88.5,93.3,89.2,101.3,97,102.2,100.3,78.2,105.9,119.9,108,77,93.1,109.5,100.4,99,113.9,102.1,101.6,84,110.7,111.6,110.7,73.1,87.5,109.6,99.3,92.1,109.3,94.5,91.4,82.9,103.3,96,104.8,65.8,78.7,100.3,85,94.5,97.9,91.9,87.2,84.4,99.2,105.4,110.9,69.8,86.8,106.7,88.8,96.9,108.1,93.7,94.8,79.8,95.6,107.9,104.9,61.9,85.7,92.4,86.4,99.3,95.5,97,102.1,77.8,105.5,113.2,108.8,66.9,89.3,93.6,92,99.5,98.6,94.6,96.7,75.3,102.5,115.1,104.7,71.4)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/162wz1228248704.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/28v3p1228248704.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.045407677 -0.314479631 -0.090629476  0.182842988
 [6]  0.083079781  0.037531822  0.030859794  0.177091725 -0.165380092
[11] -0.392689290 -0.010037711  0.719444347 -0.044465779 -0.322174584
[16] -0.177762596  0.086349560  0.021096340 -0.039387884 -0.022912312
[21]  0.118381072 -0.177247981 -0.357583732 -0.006933207  0.551259011
[26] -0.034246990 -0.237720539 -0.185406397  0.067177632  0.048529265
[31] -0.045899320  0.005382536  0.125806275 -0.142348742 -0.270734530
[36]  0.002735880  0.466849192
> (mypacf <- c(rpacf$acf))
 [1]  0.045407677 -0.317195500 -0.063972151  0.101560878  0.026178065
 [6]  0.124384711  0.087868015  0.237703588 -0.174586510 -0.362861097
[11] -0.141371212  0.630927069 -0.181247269 -0.025602615 -0.183270108
[16] -0.085355793 -0.126532802 -0.072077595 -0.038131779 -0.117831931
[21]  0.082118644  0.069259202  0.038835331 -0.024163389 -0.002701515
[26]  0.014641298 -0.123051853 -0.064444292 -0.037309884 -0.080612383
[31]  0.037920879  0.025006214  0.023482792  0.020467376 -0.039439016
[36]  0.059221563
> 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/3ic8b1228248704.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/46xmp1228248704.tab") 
> 
> system("convert tmp/162wz1228248704.ps tmp/162wz1228248704.png")
> system("convert tmp/28v3p1228248704.ps tmp/28v3p1228248704.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.549   0.314   0.677