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(4.8,6.1,1.7,5.1,-3.1,8.1,6.4,3.4,4.2,0.8,1.7,4.6,0.6,0.2,14.2,2.6,6.5,10.3,-0.4,5.8,9.2,-4.4,10.2,12.6,5.2,1.1,-0.3,4.3,6.1,3.4,-6.3,5.5,1.9,0.7,6.3,0.4,6.2,4.5,9.6,-0.2,10.8,0.1,6.0,5.7,0.0,14.1,5.8,-2.3,4.6,7.6,5.7,9.4,1.9,4.9,11.4)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1wha11196785278.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2sjdr1196785278.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.24440036 -0.11617817  0.20766202 -0.15773517  0.13244359
 [7]  0.14947214 -0.31780257  0.04814260  0.32947725 -0.40507291  0.11314413
[13] -0.04837767 -0.20937480  0.18632218 -0.10730472 -0.18084985  0.25027437
[19]  0.03680303 -0.23332857  0.05620705 -0.05257350  0.10228446  0.18866118
[25] -0.22429828 -0.14550197  0.28388652 -0.14244160  0.04651783  0.07278540
[31] -0.16428467  0.20100984  0.03969302 -0.16366296  0.05215226  0.09262909
[37] -0.15497004
> (mypacf <- c(rpacf$acf))
 [1] -0.244400357 -0.187084550  0.141324986 -0.096048445  0.131940882
 [6]  0.172919455 -0.202509862 -0.104670264  0.297870820 -0.269128608
[11] -0.040942366 -0.124308824 -0.095547587 -0.100095435 -0.071649720
[16] -0.022745212  0.103906993  0.109157259 -0.053099408 -0.240856811
[21]  0.031557867  0.120255725  0.071904449 -0.075289329 -0.248500852
[26]  0.054962747 -0.152124200  0.130235671  0.140737828 -0.008554586
[31]  0.037580435 -0.065067049  0.024602564 -0.019532146 -0.027444085
[36]  0.054847566
> 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/3g1zb1196785278.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/4yoez1196785278.tab") 
> 
> system("convert tmp/1wha11196785278.ps tmp/1wha11196785278.png")
> system("convert tmp/2sjdr1196785278.ps tmp/2sjdr1196785278.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.823   0.331   0.930