R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(1149822
+ ,1086979
+ ,1276674
+ ,1522522
+ ,1742117
+ ,1737275
+ ,1979900
+ ,2061036
+ ,1867943
+ ,1707752
+ ,1298756
+ ,1281814
+ ,1281151
+ ,1164976
+ ,1454329
+ ,1645288
+ ,1817743
+ ,1895785
+ ,2236311
+ ,2295951
+ ,2087315
+ ,1980891
+ ,1465446
+ ,1445026
+ ,1488120
+ ,1338333
+ ,1715789
+ ,1806090
+ ,2083316
+ ,2092278
+ ,2430800
+ ,2424894
+ ,2299016
+ ,2130688
+ ,1652221
+ ,1608162
+ ,1647074
+ ,1479691
+ ,1884978
+ ,2007898
+ ,2208954
+ ,2217164
+ ,2534291
+ ,2560312
+ ,2429069
+ ,2315077
+ ,1799608
+ ,1772590
+ ,1744799
+ ,1659093
+ ,2099821
+ ,2135736
+ ,2427894
+ ,2468882
+ ,2703217
+ ,2766841
+ ,2655236
+ ,2550373
+ ,2052097
+ ,1998055
+ ,1920748
+ ,1876694
+ ,2380930
+ ,2467402
+ ,2770771
+ ,2781340
+ ,3143926
+ ,3172235
+ ,2952540
+ ,2920877
+ ,2384552
+ ,2248987
+ ,2208616
+ ,2178756
+ ,2632870
+ ,2706905
+ ,3029745
+ ,3015402
+ ,3391414
+ ,3507805
+ ,3177852
+ ,3142961
+ ,2545815
+ ,2414007
+ ,2372578
+ ,2332664
+ ,2825328
+ ,2901478
+ ,3263955
+ ,3226738
+ ,3610786
+ ,3709274
+ ,3467185
+ ,3449646
+ ,2802951
+ ,2462530
+ ,2490645
+ ,2561520
+ ,3067554
+ ,3226951
+ ,3546493
+ ,3492787
+ ,3952263
+ ,3932072
+ ,3720284
+ ,3651555
+ ,2914972
+ ,2713514
+ ,2703997
+ ,2591373
+ ,3163748
+ ,3355137
+ ,3613702
+ ,3686773
+ ,4098716
+ ,4063517
+ ,3551489
+ ,3226663
+ ,2656842
+ ,2597484
+ ,2572399
+ ,2596631
+ ,3165225
+ ,3303145
+ ,3698247
+ ,3668631
+ ,4130433
+ ,4131400
+ ,3864358
+ ,3721110
+ ,2892532
+ ,2843451
+ ,2747502
+ ,2668775
+ ,3018602
+ ,3013392
+ ,3393657
+ ,3544233
+ ,4075832
+ ,4032923
+ ,3734509
+ ,3761285
+ ,2970090
+ ,2847849
+ ,2741680
+ ,2830639
+ ,3257673
+ ,3480085
+ ,3843271
+ ,3796961
+ ,4337767
+ ,4243630
+ ,3927202
+ ,3915296
+ ,3087396
+ ,2963792
+ ,2955792
+ ,2829925
+ ,3281195
+ ,3548011
+ ,4059648
+ ,3941175
+ ,4528594
+ ,4433151
+ ,4145737
+ ,4077132
+ ,3198519
+ ,3078660
+ ,3028202
+ ,2858642
+ ,3398954
+ ,3808883
+ ,4175961
+ ,4227542
+ ,4744616
+ ,4608012
+ ,4295049
+ ,4201144
+ ,3353276
+ ,3286851
+ ,3169889
+ ,3051720
+ ,3695426
+ ,3905501
+ ,4296458
+ ,4246247
+ ,4921849
+ ,4821446
+ ,4425064
+ ,4379099
+ ,3472889
+ ,3359160
+ ,3200944
+ ,3153170
+ ,3741498
+ ,3918719
+ ,4403449
+ ,4400407
+ ,4847473
+ ,4716136
+ ,4297440
+ ,4272253
+ ,3271834
+ ,3168388
+ ,2911748
+ ,2720999
+ ,3199918
+ ,3672623
+ ,3892013
+ ,3850845
+ ,4532467
+ ,4484739
+ ,4014972
+ ,3983758
+ ,3158459
+ ,3100569
+ ,2935404
+ ,2855719
+ ,3465611
+ ,3006985
+ ,4095110
+ ,4104793
+ ,4730788
+ ,4642726
+ ,4246919
+ ,4308117)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/rcomp/tmp/1njne1292014687.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2njne1292014687.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000e+00 -2.989271e-01 -1.019874e-01  3.453376e-02  5.168326e-02
 [6] -7.112105e-02 -1.006575e-03  2.972891e-05  1.056000e-02 -4.536825e-02
[11]  6.682135e-02  8.828177e-02 -3.375994e-01  9.130631e-02  8.916307e-02
[16] -1.370461e-02 -8.964763e-02  7.310337e-02  3.015179e-02  1.916737e-02
[21] -5.221841e-02  6.366707e-02 -7.252635e-02  1.529897e-02  1.701428e-02
[26] -2.568707e-02 -1.192895e-03  3.006295e-02 -1.021269e-02 -2.428332e-02
[31] -6.298876e-02  1.872486e-02  2.286228e-02 -8.135361e-02  1.106532e-01
[36] -2.376746e-02  5.914611e-02 -8.271882e-02 -3.669261e-02  1.365441e-02
[41]  1.692445e-02  6.541986e-02 -2.948440e-02 -9.725994e-03 -1.773952e-02
[46]  5.958705e-02 -1.068279e-01  7.213001e-02 -8.160821e-02  1.002795e-01
[51]  7.036198e-03 -5.566624e-03  1.313567e-03 -2.389999e-02 -1.461380e-02
[56]  3.078840e-02 -2.938087e-02 -5.867522e-02  7.922035e-02 -8.653965e-02
[61]  7.098806e-02
> (mypacf <- c(rpacf$acf))
 [1] -0.2989270852 -0.2101206441 -0.0748700848  0.0209647284 -0.0511285879
 [6] -0.0322960248 -0.0334101957 -0.0082854009 -0.0498784886  0.0392107946
[11]  0.1293176213 -0.2928152023 -0.1114418285 -0.0142955341  0.0167835853
[16] -0.0522943767 -0.0046991390  0.0245629146  0.0506495849 -0.0089289306
[21]  0.0310993723 -0.0336970515  0.0344173566 -0.0964972203 -0.0747681429
[26]  0.0152373962  0.0430723443 -0.0387702568 -0.0319609909 -0.0740406985
[31] -0.0199163137 -0.0238422998 -0.0793532031  0.0483223896  0.0204540446
[36]  0.0622622216 -0.0869148909 -0.1034360680 -0.0194341100 -0.0308232337
[41]  0.0870794628 -0.0298858503  0.0022315922 -0.0506139374 -0.0152218529
[46] -0.0693861005  0.0573254515 -0.0268457971  0.0260174919 -0.0035997268
[51]  0.0209610220  0.0371557561  0.0005873142 -0.0509424615 -0.0184333054
[56] -0.0178442374 -0.0681384067 -0.0188710519 -0.0796107104 -0.0102232415
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/3kt351292014687.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/rcomp/tmp/4ck2q1292014687.tab") 
> 
> try(system("convert tmp/1njne1292014687.ps tmp/1njne1292014687.png",intern=TRUE))
character(0)
> try(system("convert tmp/2njne1292014687.ps tmp/2njne1292014687.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.710   0.180   0.893