R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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> x <- c(153.3
+ ,154.5
+ ,155.2
+ ,156.9
+ ,157
+ ,157.4
+ ,157.2
+ ,157.5
+ ,158
+ ,158.5
+ ,159
+ ,159.3
+ ,160
+ ,160.8
+ ,161.9
+ ,162.5
+ ,162.7
+ ,162.8
+ ,162.9
+ ,163
+ ,164
+ ,164.7
+ ,164.8
+ ,164.9
+ ,165
+ ,165.8
+ ,166.1
+ ,167.2
+ ,167.7
+ ,168.3
+ ,168.6
+ ,168.9
+ ,169.1
+ ,169.5
+ ,169.6
+ ,169.7
+ ,169.8
+ ,170.4
+ ,170.9
+ ,171.9
+ ,171.9
+ ,172
+ ,172
+ ,172.4
+ ,173
+ ,173.7
+ ,173.8
+ ,173.8
+ ,173.9
+ ,174.6
+ ,175
+ ,175.9
+ ,176
+ ,175.1
+ ,175.6
+ ,175.9
+ ,176.7
+ ,176.1
+ ,176.1
+ ,176.2
+ ,176.3
+ ,177.8
+ ,178.5
+ ,179.4
+ ,179.5
+ ,179.6
+ ,179.7
+ ,179.7
+ ,179.8
+ ,179.9
+ ,180.2
+ ,180.4
+ ,180.4
+ ,181.3
+ ,181.9
+ ,182.5
+ ,182.7
+ ,183.1
+ ,183.6
+ ,183.7
+ ,183.8
+ ,183.9
+ ,184.1
+ ,184.4
+ ,184.5
+ ,185.9
+ ,186.6
+ ,187.6
+ ,187.8
+ ,187.9
+ ,188
+ ,188.3
+ ,188.4
+ ,188.5
+ ,188.5
+ ,188.6
+ ,188.6
+ ,189.4
+ ,190
+ ,191.9
+ ,192.5
+ ,193
+ ,193.5
+ ,193.9
+ ,194.2
+ ,194.9
+ ,194.9
+ ,194.9
+ ,194.9
+ ,195.5
+ ,196
+ ,196.2
+ ,196.2
+ ,196.2
+ ,196.2
+ ,197
+ ,197.7
+ ,198
+ ,198.2
+ ,198.5
+ ,198.6
+ ,199.5
+ ,200
+ ,201.3
+ ,202.2
+ ,202.9
+ ,203.5
+ ,203.5
+ ,204
+ ,204.1
+ ,204.3
+ ,204.5
+ ,204.8
+ ,205.1
+ ,205.7
+ ,206.5
+ ,206.9
+ ,207.1
+ ,207.8
+ ,208
+ ,208.5
+ ,208.6
+ ,209
+ ,209.1
+ ,209.7
+ ,209.8
+ ,209.9
+ ,210
+ ,210.8
+ ,211.4
+ ,211.7
+ ,212
+ ,212.2
+ ,212.4
+ ,212.9
+ ,213.4
+ ,213.7
+ ,214
+ ,214.3
+ ,214.8
+ ,215
+ ,215.9
+ ,216.4
+ ,216.9
+ ,217.2
+ ,217.5
+ ,217.9
+ ,218.1
+ ,218.6
+ ,218.9
+ ,219.3
+ ,220.4
+ ,220.9
+ ,221
+ ,221.8
+ ,222
+ ,222.2
+ ,222.5
+ ,222.9
+ ,223.1
+ ,223.4
+ ,224
+ ,225.1
+ ,225.5
+ ,225.9
+ ,226.3
+ ,226.5
+ ,227
+ ,227.3
+ ,227.8
+ ,228.1
+ ,228.4
+ ,228.5
+ ,228.8
+ ,229
+ ,229.1
+ ,229.3
+ ,229.6
+ ,229.9
+ ,230
+ ,230.2
+ ,230.8
+ ,231
+ ,231.7
+ ,231.9
+ ,233
+ ,235.1
+ ,236
+ ,236.9
+ ,237.1
+ ,237.5
+ ,238.2
+ ,238.9
+ ,239.1
+ ,240
+ ,240.2
+ ,240.5
+ ,240.7
+ ,241.1
+ ,241.4
+ ,242.2
+ ,242.9
+ ,243.2
+ ,243.9)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> par3 = '2'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1r5w11259612753.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2nwz31259612753.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.45536641  0.15824137 -0.23103541 -0.03034754  0.05795441
 [7]  0.03245875  0.06597896 -0.08106954 -0.13174821  0.08104849 -0.07171943
[13]  0.20326634 -0.05987078  0.03838471 -0.09523884 -0.05576792  0.12782861
[19] -0.04536156  0.08462120 -0.07023511 -0.13812936  0.07959058 -0.09590493
[25]  0.27177186 -0.09612211  0.04918569 -0.03439108 -0.13985626  0.11923959
[31] -0.03883293  0.07850002 -0.06408784 -0.12645575  0.11141213 -0.12475849
[37]  0.26988958
> (mypacf <- c(rpacf$acf))
 [1] -0.455366407 -0.061966473 -0.231421469 -0.298741428 -0.128274157
 [6] -0.052200278  0.003311942 -0.067745902 -0.256404864 -0.125247902
[11] -0.186673606 -0.038070664 -0.019980921  0.004999054 -0.022688875
[16] -0.111084693  0.031063249 -0.012590026  0.015749511  0.030055951
[21] -0.144539563 -0.071963011 -0.169732172  0.044185275  0.053552534
[26]  0.061156085  0.168878162  0.008996500  0.021695931  0.010525135
[31]  0.013299844  0.011008029 -0.103714531  0.017213610 -0.074675080
[36]  0.088505383
> 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/30alx1259612753.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/4pbti1259612753.tab") 
> 
> system("convert tmp/1r5w11259612753.ps tmp/1r5w11259612753.png")
> system("convert tmp/2nwz31259612753.ps tmp/2nwz31259612753.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.569   0.316   0.672