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

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(206010
+ ,198112
+ ,194519
+ ,185705
+ ,180173
+ ,176142
+ ,203401
+ ,221902
+ ,197378
+ ,185001
+ ,176356
+ ,180449
+ ,180144
+ ,173666
+ ,165688
+ ,161570
+ ,156145
+ ,153730
+ ,182698
+ ,200765
+ ,176512
+ ,166618
+ ,158644
+ ,159585
+ ,163095
+ ,159044
+ ,155511
+ ,153745
+ ,150569
+ ,150605
+ ,179612
+ ,194690
+ ,189917
+ ,184128
+ ,175335
+ ,179566
+ ,181140
+ ,177876
+ ,175041
+ ,169292
+ ,166070
+ ,166972
+ ,206348
+ ,215706
+ ,202108
+ ,195411
+ ,193111
+ ,195198
+ ,198770
+ ,194163
+ ,190420
+ ,189733
+ ,186029
+ ,191531
+ ,232571
+ ,243477
+ ,227247
+ ,217859
+ ,208679
+ ,213188
+ ,216234
+ ,213586
+ ,209465
+ ,204045
+ ,200237
+ ,203666
+ ,241476
+ ,260307
+ ,243324
+ ,244460
+ ,233575
+ ,237217
+ ,235243
+ ,230354
+ ,227184
+ ,221678
+ ,217142
+ ,219452
+ ,256446
+ ,265845
+ ,248624
+ ,241114
+ ,229245
+ ,231805
+ ,219277
+ ,219313
+ ,212610
+ ,214771
+ ,211142
+ ,211457
+ ,240048
+ ,240636
+ ,230580
+ ,208795
+ ,197922
+ ,194596
+ ,194581
+ ,185686
+ ,178106
+ ,172608
+ ,167302
+ ,168053
+ ,202300
+ ,202388
+ ,182516
+ ,173476
+ ,166444
+ ,171297
+ ,169701
+ ,164182
+ ,161914
+ ,159612
+ ,151001
+ ,158114
+ ,186530
+ ,187069
+ ,174330
+ ,169362
+ ,166827
+ ,178037
+ ,186413
+ ,189226
+ ,191563
+ ,188906
+ ,186005
+ ,195309
+ ,223532
+ ,226899
+ ,214126
+ ,206903
+ ,204442
+ ,220375
+ ,214320
+ ,212588
+ ,205816
+ ,202196
+ ,195722
+ ,198563
+ ,229139
+ ,229527
+ ,211868
+ ,203555
+ ,195770)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = '48'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, 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: 
> #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 (par8 != '') par8 <- as.numeric(par8)
> ox <- x
> if (par8 == '') {
+ if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
+ } else {
+ x <- log(x,base=par8)
+ }
> 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/19ps61293091973.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow=c(2,1))
> plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
> if (par8=='') {
+ mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
+ mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
+ } else {
+ mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
+ mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
+ }
> plot(x,type='l', main=mytitle,xlab='time',ylab='value')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/29ps61293091973.ps",horizontal=F,onefile=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=mysub)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/31ga91293091973.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.23724661 -0.31569436 -0.30491165 -0.14352703  0.08923565
 [7]  0.11114567  0.10026889 -0.13701774 -0.26362659 -0.30657940  0.24943799
[13]  0.82865026  0.19368984 -0.29929202 -0.29171818 -0.15255362  0.05870206
[19]  0.09314038  0.06271657 -0.14497347 -0.25171945 -0.29411351  0.23919444
[25]  0.72554183  0.14031325 -0.29537428 -0.27047161 -0.14594799  0.04717139
[31]  0.05707685  0.04370405 -0.14322978 -0.23612764 -0.26094559  0.26238686
[37]  0.67516816  0.08780198 -0.28227405 -0.23852841 -0.12998600  0.05478131
[43]  0.06325264  0.04066146 -0.12393931 -0.21697407 -0.21165560  0.23658756
[49]  0.60118834
> (mypacf <- c(rpacf$acf))
 [1]  0.23724661 -0.39416635 -0.13420981 -0.17551975  0.01981754 -0.07371349
 [7]  0.08320942 -0.22290506 -0.14590073 -0.42183634  0.36358766  0.66069472
[13] -0.05957980  0.02246980  0.11577148 -0.10860744 -0.01100715 -0.11672701
[19] -0.11737439 -0.13820029 -0.06775754 -0.14834404 -0.03811614  0.04086261
[25] -0.08789745 -0.06429663  0.07335341 -0.05500991  0.03983734 -0.13488615
[31]  0.04427244 -0.10930377 -0.01285141 -0.06008412  0.09350647  0.03587723
[37] -0.02274043 -0.02721961  0.10207342 -0.12505394  0.11028349 -0.06729014
[43]  0.05990539 -0.05704691  0.04291416 -0.04620242 -0.15325725 -0.12195417
> 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/4nzqe1293091973.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/58hp21293091973.tab") 
> 
> try(system("convert tmp/19ps61293091973.ps tmp/19ps61293091973.png",intern=TRUE))
character(0)
> try(system("convert tmp/29ps61293091973.ps tmp/29ps61293091973.png",intern=TRUE))
character(0)
> try(system("convert tmp/31ga91293091973.ps tmp/31ga91293091973.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.738   0.475   1.636