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(88.8,93.4,92.6,90.7,81.6,84.1,88.1,85.3,82.9,84.8,71.2,68.9,94.3,97.6,85.6,91.9,75.8,79.8,99,88.5,86.7,97.9,94.3,72.9,91.8,93.2,86.5,98.9,77.2,79.4,90.4,81.4,85.8,103.6,73.6,75.7,99.2,88.7,94.6,98.7,84.2,87.7,103.3,88.2,93.4,106.3,73.1,78.6,101.6,101.4,98.5,99,89.5,83.5,97.4,87.8,90.4,97.1,79.4,85)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1jvqm1196512730.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2pwnx1196512730.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.221185601  0.027262298  0.142090204 -0.036928168
 [6] -0.045209817 -0.041552261 -0.132939191 -0.246301891 -0.004762915
[11] -0.122635400 -0.093363250 -0.364253069 -0.245036762  0.024502961
[16] -0.126267507 -0.040490093  0.068133883  0.009755008 -0.009928144
[21]  0.294027285  0.066473644  0.116220047  0.241111528 -0.057142235
[26] -0.027624277  0.029594597  0.055702992 -0.007608233  0.013363704
[31]  0.022585856  0.029505254 -0.055253493 -0.105242678 -0.088176812
[36] -0.192043859 -0.034554564
> (mypacf <- c(rpacf$acf))
 [1]  0.221185601 -0.022774994  0.148288212 -0.108441410 -0.008710259
 [6] -0.057085983 -0.099377002 -0.209456373  0.111688347 -0.154518977
[11]  0.031016845 -0.494144661 -0.006958979 -0.047271856 -0.091484767
[16] -0.147826330  0.047703871 -0.197956911 -0.070522687  0.007082211
[21] -0.042203515  0.087696437  0.004969301 -0.336246753 -0.164148605
[26] -0.050265400  0.056206692 -0.074298536 -0.052738518  0.032477219
[31] -0.115696133 -0.093059344 -0.076204975 -0.061985125 -0.010085585
[36] -0.169067092
> 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/3jbf01196512730.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/4sp4t1196512730.tab") 
> 
> system("convert tmp/1jvqm1196512730.ps tmp/1jvqm1196512730.png")
> system("convert tmp/2pwnx1196512730.ps tmp/2pwnx1196512730.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.820   0.324   0.944