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(112.6,113.8,107.8,103.2,103.3,101.2,107.7,110.4,101.9,115.9,89.9,88.6,117.2,123.9,100,103.6,94.1,98.7,119.5,112.7,104.4,124.7,89.1,97,121.6,118.8,114,111.5,97.2,102.5,113.4,109.8,104.9,126.1,80,96.8,117.2,112.3,117.3,111.1,102.2,104.3,122.9,107.6,121.3,131.5,89,104.4,128.9,135.9,133.3,121.3,120.5,120.4,137.9,126.1,133.2,146.6,103.4,117.2)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1v3vs1196430899.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/21j301196430899.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.271776220  0.052582697  0.221954076  0.052109942
 [6]  0.277076275  0.498494126  0.197896840  0.029509455  0.067471945
[11] -0.235237216  0.032010437  0.527214392 -0.028279247 -0.096098538
[16] -0.036251617 -0.209633704  0.031279252  0.192955660 -0.003703755
[21] -0.057958344 -0.067028645 -0.312667613 -0.025234591  0.299579388
[26] -0.071214514 -0.033884803 -0.067876640 -0.171924896  0.017142085
[31]  0.103592892  0.004165278 -0.002062538 -0.093224114 -0.271676634
[36] -0.062023715  0.107671829 -0.102757317 -0.092454527 -0.142354233
[41] -0.196744182 -0.089024029 -0.068249964 -0.097558713 -0.060255877
[46] -0.127599483 -0.191867109 -0.099416965 -0.036844859
> (mypacf <- c(rpacf$acf))
 [1]  0.271776220 -0.022976731  0.230734957 -0.078621673  0.333300953
 [6]  0.352264156  0.050179122 -0.108025765 -0.073075423 -0.458002170
[11] -0.082927274  0.473267319 -0.239163757  0.017413626  0.006019712
[16]  0.102772590 -0.079379126 -0.097656384  0.028952713 -0.076430853
[21] -0.046976780  0.073917315  0.036491367  0.019623664  0.053296701
[26]  0.078917503 -0.056864885  0.034336948 -0.097424711 -0.097790355
[31] -0.071323016 -0.019659246 -0.106046708  0.002941641 -0.052173292
[36] -0.005121441  0.019424044 -0.073845774  0.070409159 -0.022890257
[41] -0.008103190 -0.105360612 -0.099607586  0.004326699  0.026579563
[46]  0.127081205 -0.052277693 -0.081668135
> 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/36szw1196430899.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/4q6o41196430900.tab") 
> 
> system("convert tmp/1v3vs1196430899.ps tmp/1v3vs1196430899.png")
> system("convert tmp/21j301196430899.ps tmp/21j301196430899.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.905   0.337   1.146