R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(12710.3,12120.8,12469.5,12054.6,12112.9,9617.2,12645.8,13581.3,12162.3,10969.7,11880.0,11887.6,12926.9,12300.0,12092.8,12380.8,12196.9,9455.0,13168.0,13427.9,11980.5,11884.8,11691.7,12233.8,14341.4,13130.7,12421.1,14285.8,12864.6,11160.2,14316.2,14388.7,14013.9,13419.0,12769.6,13315.5,15332.9,14243.0,13824.4,14962.9,13202.9,12199.0,15508.9,14199.8,15169.6,14058.0,13786.2,14147.9,16541.7,13587.5,15582.4,15802.8,14130.5,12923.2,15612.2,16033.7,16036.6,14037.8,15330.6,15038.3,17401.8)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '0.0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1s0ub1196428331.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2cz9t1196428331.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.100800789  0.273076158  0.472412181  0.189004277
 [6]  0.259485273  0.246982355 -0.137754018  0.146311357  0.042561969
[11] -0.211872281 -0.129899487 -0.169947078 -0.238428768 -0.070070682
[16] -0.280419811 -0.331480123 -0.059530743 -0.129526987 -0.217639276
[21] -0.136809308  0.015014752 -0.199052178  0.143820385 -0.088283927
[26] -0.124036003  0.163189730 -0.007752196 -0.063745857  0.110146964
[31] -0.054983051  0.068548147  0.023817930 -0.091611984  0.055779672
[36]  0.060902942 -0.099782871
> (mypacf <- c(rpacf$acf))
 [1]  0.100800789  0.265614212  0.462413872  0.141382520  0.063204621
 [6] -0.022298186 -0.463275307 -0.232067208 -0.062169782 -0.069382613
[11] -0.127364645 -0.065975750  0.018488090  0.215695146  0.158045701
[16] -0.116734161 -0.083817437  0.049245149 -0.008151565 -0.184588506
[21]  0.147138617 -0.252705964  0.059990926  0.015630601 -0.102572868
[26] -0.050535358 -0.075472270  0.008604481 -0.005089682  0.151553662
[31]  0.072342116 -0.172194933 -0.067505630  0.080562578  0.011091456
[36] -0.051576021
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 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 1:par1) {
+ 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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3p06q1196428331.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-1,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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/41fo91196428331.tab") 
> 
> system("convert tmp/1s0ub1196428331.ps tmp/1s0ub1196428331.png")
> system("convert tmp/2cz9t1196428331.ps tmp/2cz9t1196428331.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.821   0.324   0.929