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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 14 Dec 2008 04:32:04 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/14/t1229254354obtsuw8shc5sajs.htm/, Retrieved Wed, 15 May 2024 15:32:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33302, Retrieved Wed, 15 May 2024 15:32:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [ACF werkloosheid ...] [2008-12-10 21:11:19] [57fa5e3679c393aa19449b2f1be9928b]
-   P     [(Partial) Autocorrelation Function] [ACF werkloosheid ...] [2008-12-14 11:32:04] [270782e2502ae87124d0ebdcd1862d6a] [Current]
-           [(Partial) Autocorrelation Function] [] [2008-12-21 20:52:13] [ffbe22449df335faef31f462015daa42]
-           [(Partial) Autocorrelation Function] [] [2008-12-21 21:31:41] [a4ee3bef49b119f4bd2e925060c84f5e]
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Dataseries X:
451
450
444
429
421
400
389
384
432
446
431
423
416
416
413
399
386
374
365
365
418
428
424
421
417
423
423
419
406
398
390
391
444
460
455
456
452
459
461
451
443
439
430
436
488
506
502
501
501
515
521
520
512
509
505
511
570
592
594
586
586
592
594
586
572
563
555
554
601
622
617
606
595
599
600
592
575
567
555
555
608
631
629
624
610
616
621
604
584
574
555
545
599
620
608
590
579
580
579
572
560
551
537
541
588
607
599
578
563
566
561
554
540
526
512
505
554
584
569
540
522
526
527
516
503
489
479
475
524
552
532
511
492
492
493
481
462
457
442
439
488
521
501
485
464
460
467
460
448
443
436
431
484
510
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33302&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33302&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33302&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0563490.85090.197872
20.0620840.93740.174761
30.1358882.05190.020662
40.1362992.05810.02036
50.1162051.75470.040331
60.105481.59270.056305
70.0511560.77240.220328
80.0709651.07150.142529
90.0661160.99830.15959
10-0.036042-0.54420.293412
110.0304790.46020.322898
12-0.248843-3.75750.000109
130.0157130.23730.406332
140.1162981.75610.040211
15-0.008138-0.12290.451155
16-0.060093-0.90740.182579
17-0.00447-0.06750.473124
180.0186680.28190.389146
190.0007860.01190.495271
200.0585550.88420.188772
210.0637830.96310.168258
220.0465680.70320.241338
230.183122.7650.003079
24-0.039292-0.59330.276786
25-0.040916-0.61780.268658
26-0.025679-0.38770.349286
270.0622540.940.174103
280.0240210.36270.358579
290.114071.72240.043175
30-0.070288-1.06130.144832
31-0.031372-0.47370.318079
320.026760.40410.343269
33-0.095424-1.44090.075497
34-0.07173-1.08310.139954
35-0.098597-1.48880.068963
36-0.040137-0.60610.272539
370.0142580.21530.414864
380.0254560.38440.350528
39-0.223899-3.38080.000425
40-0.092116-1.39090.082802
41-0.035896-0.5420.29417
42-0.04553-0.68750.246235
430.0403490.60930.271479
44-0.119875-1.81010.035801
45-0.07148-1.07930.140792
46-0.01302-0.19660.422157
47-0.065983-0.99630.160076
48-0.066071-0.99770.159753
49-0.077902-1.17630.120351
50-0.022353-0.33750.368015
510.0517340.78120.217757
520.0179720.27140.393174
53-0.186585-2.81740.002633
54-0.015528-0.23450.407418
55-0.073374-1.10790.134532
56-0.032444-0.48990.312341
57-0.023219-0.35060.363107
58-0.022142-0.33430.369219
59-0.04598-0.69430.244104
60-0.035677-0.53870.295308

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.056349 & 0.8509 & 0.197872 \tabularnewline
2 & 0.062084 & 0.9374 & 0.174761 \tabularnewline
3 & 0.135888 & 2.0519 & 0.020662 \tabularnewline
4 & 0.136299 & 2.0581 & 0.02036 \tabularnewline
5 & 0.116205 & 1.7547 & 0.040331 \tabularnewline
6 & 0.10548 & 1.5927 & 0.056305 \tabularnewline
7 & 0.051156 & 0.7724 & 0.220328 \tabularnewline
8 & 0.070965 & 1.0715 & 0.142529 \tabularnewline
9 & 0.066116 & 0.9983 & 0.15959 \tabularnewline
10 & -0.036042 & -0.5442 & 0.293412 \tabularnewline
11 & 0.030479 & 0.4602 & 0.322898 \tabularnewline
12 & -0.248843 & -3.7575 & 0.000109 \tabularnewline
13 & 0.015713 & 0.2373 & 0.406332 \tabularnewline
14 & 0.116298 & 1.7561 & 0.040211 \tabularnewline
15 & -0.008138 & -0.1229 & 0.451155 \tabularnewline
16 & -0.060093 & -0.9074 & 0.182579 \tabularnewline
17 & -0.00447 & -0.0675 & 0.473124 \tabularnewline
18 & 0.018668 & 0.2819 & 0.389146 \tabularnewline
19 & 0.000786 & 0.0119 & 0.495271 \tabularnewline
20 & 0.058555 & 0.8842 & 0.188772 \tabularnewline
21 & 0.063783 & 0.9631 & 0.168258 \tabularnewline
22 & 0.046568 & 0.7032 & 0.241338 \tabularnewline
23 & 0.18312 & 2.765 & 0.003079 \tabularnewline
24 & -0.039292 & -0.5933 & 0.276786 \tabularnewline
25 & -0.040916 & -0.6178 & 0.268658 \tabularnewline
26 & -0.025679 & -0.3877 & 0.349286 \tabularnewline
27 & 0.062254 & 0.94 & 0.174103 \tabularnewline
28 & 0.024021 & 0.3627 & 0.358579 \tabularnewline
29 & 0.11407 & 1.7224 & 0.043175 \tabularnewline
30 & -0.070288 & -1.0613 & 0.144832 \tabularnewline
31 & -0.031372 & -0.4737 & 0.318079 \tabularnewline
32 & 0.02676 & 0.4041 & 0.343269 \tabularnewline
33 & -0.095424 & -1.4409 & 0.075497 \tabularnewline
34 & -0.07173 & -1.0831 & 0.139954 \tabularnewline
35 & -0.098597 & -1.4888 & 0.068963 \tabularnewline
36 & -0.040137 & -0.6061 & 0.272539 \tabularnewline
37 & 0.014258 & 0.2153 & 0.414864 \tabularnewline
38 & 0.025456 & 0.3844 & 0.350528 \tabularnewline
39 & -0.223899 & -3.3808 & 0.000425 \tabularnewline
40 & -0.092116 & -1.3909 & 0.082802 \tabularnewline
41 & -0.035896 & -0.542 & 0.29417 \tabularnewline
42 & -0.04553 & -0.6875 & 0.246235 \tabularnewline
43 & 0.040349 & 0.6093 & 0.271479 \tabularnewline
44 & -0.119875 & -1.8101 & 0.035801 \tabularnewline
45 & -0.07148 & -1.0793 & 0.140792 \tabularnewline
46 & -0.01302 & -0.1966 & 0.422157 \tabularnewline
47 & -0.065983 & -0.9963 & 0.160076 \tabularnewline
48 & -0.066071 & -0.9977 & 0.159753 \tabularnewline
49 & -0.077902 & -1.1763 & 0.120351 \tabularnewline
50 & -0.022353 & -0.3375 & 0.368015 \tabularnewline
51 & 0.051734 & 0.7812 & 0.217757 \tabularnewline
52 & 0.017972 & 0.2714 & 0.393174 \tabularnewline
53 & -0.186585 & -2.8174 & 0.002633 \tabularnewline
54 & -0.015528 & -0.2345 & 0.407418 \tabularnewline
55 & -0.073374 & -1.1079 & 0.134532 \tabularnewline
56 & -0.032444 & -0.4899 & 0.312341 \tabularnewline
57 & -0.023219 & -0.3506 & 0.363107 \tabularnewline
58 & -0.022142 & -0.3343 & 0.369219 \tabularnewline
59 & -0.04598 & -0.6943 & 0.244104 \tabularnewline
60 & -0.035677 & -0.5387 & 0.295308 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33302&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.056349[/C][C]0.8509[/C][C]0.197872[/C][/ROW]
[ROW][C]2[/C][C]0.062084[/C][C]0.9374[/C][C]0.174761[/C][/ROW]
[ROW][C]3[/C][C]0.135888[/C][C]2.0519[/C][C]0.020662[/C][/ROW]
[ROW][C]4[/C][C]0.136299[/C][C]2.0581[/C][C]0.02036[/C][/ROW]
[ROW][C]5[/C][C]0.116205[/C][C]1.7547[/C][C]0.040331[/C][/ROW]
[ROW][C]6[/C][C]0.10548[/C][C]1.5927[/C][C]0.056305[/C][/ROW]
[ROW][C]7[/C][C]0.051156[/C][C]0.7724[/C][C]0.220328[/C][/ROW]
[ROW][C]8[/C][C]0.070965[/C][C]1.0715[/C][C]0.142529[/C][/ROW]
[ROW][C]9[/C][C]0.066116[/C][C]0.9983[/C][C]0.15959[/C][/ROW]
[ROW][C]10[/C][C]-0.036042[/C][C]-0.5442[/C][C]0.293412[/C][/ROW]
[ROW][C]11[/C][C]0.030479[/C][C]0.4602[/C][C]0.322898[/C][/ROW]
[ROW][C]12[/C][C]-0.248843[/C][C]-3.7575[/C][C]0.000109[/C][/ROW]
[ROW][C]13[/C][C]0.015713[/C][C]0.2373[/C][C]0.406332[/C][/ROW]
[ROW][C]14[/C][C]0.116298[/C][C]1.7561[/C][C]0.040211[/C][/ROW]
[ROW][C]15[/C][C]-0.008138[/C][C]-0.1229[/C][C]0.451155[/C][/ROW]
[ROW][C]16[/C][C]-0.060093[/C][C]-0.9074[/C][C]0.182579[/C][/ROW]
[ROW][C]17[/C][C]-0.00447[/C][C]-0.0675[/C][C]0.473124[/C][/ROW]
[ROW][C]18[/C][C]0.018668[/C][C]0.2819[/C][C]0.389146[/C][/ROW]
[ROW][C]19[/C][C]0.000786[/C][C]0.0119[/C][C]0.495271[/C][/ROW]
[ROW][C]20[/C][C]0.058555[/C][C]0.8842[/C][C]0.188772[/C][/ROW]
[ROW][C]21[/C][C]0.063783[/C][C]0.9631[/C][C]0.168258[/C][/ROW]
[ROW][C]22[/C][C]0.046568[/C][C]0.7032[/C][C]0.241338[/C][/ROW]
[ROW][C]23[/C][C]0.18312[/C][C]2.765[/C][C]0.003079[/C][/ROW]
[ROW][C]24[/C][C]-0.039292[/C][C]-0.5933[/C][C]0.276786[/C][/ROW]
[ROW][C]25[/C][C]-0.040916[/C][C]-0.6178[/C][C]0.268658[/C][/ROW]
[ROW][C]26[/C][C]-0.025679[/C][C]-0.3877[/C][C]0.349286[/C][/ROW]
[ROW][C]27[/C][C]0.062254[/C][C]0.94[/C][C]0.174103[/C][/ROW]
[ROW][C]28[/C][C]0.024021[/C][C]0.3627[/C][C]0.358579[/C][/ROW]
[ROW][C]29[/C][C]0.11407[/C][C]1.7224[/C][C]0.043175[/C][/ROW]
[ROW][C]30[/C][C]-0.070288[/C][C]-1.0613[/C][C]0.144832[/C][/ROW]
[ROW][C]31[/C][C]-0.031372[/C][C]-0.4737[/C][C]0.318079[/C][/ROW]
[ROW][C]32[/C][C]0.02676[/C][C]0.4041[/C][C]0.343269[/C][/ROW]
[ROW][C]33[/C][C]-0.095424[/C][C]-1.4409[/C][C]0.075497[/C][/ROW]
[ROW][C]34[/C][C]-0.07173[/C][C]-1.0831[/C][C]0.139954[/C][/ROW]
[ROW][C]35[/C][C]-0.098597[/C][C]-1.4888[/C][C]0.068963[/C][/ROW]
[ROW][C]36[/C][C]-0.040137[/C][C]-0.6061[/C][C]0.272539[/C][/ROW]
[ROW][C]37[/C][C]0.014258[/C][C]0.2153[/C][C]0.414864[/C][/ROW]
[ROW][C]38[/C][C]0.025456[/C][C]0.3844[/C][C]0.350528[/C][/ROW]
[ROW][C]39[/C][C]-0.223899[/C][C]-3.3808[/C][C]0.000425[/C][/ROW]
[ROW][C]40[/C][C]-0.092116[/C][C]-1.3909[/C][C]0.082802[/C][/ROW]
[ROW][C]41[/C][C]-0.035896[/C][C]-0.542[/C][C]0.29417[/C][/ROW]
[ROW][C]42[/C][C]-0.04553[/C][C]-0.6875[/C][C]0.246235[/C][/ROW]
[ROW][C]43[/C][C]0.040349[/C][C]0.6093[/C][C]0.271479[/C][/ROW]
[ROW][C]44[/C][C]-0.119875[/C][C]-1.8101[/C][C]0.035801[/C][/ROW]
[ROW][C]45[/C][C]-0.07148[/C][C]-1.0793[/C][C]0.140792[/C][/ROW]
[ROW][C]46[/C][C]-0.01302[/C][C]-0.1966[/C][C]0.422157[/C][/ROW]
[ROW][C]47[/C][C]-0.065983[/C][C]-0.9963[/C][C]0.160076[/C][/ROW]
[ROW][C]48[/C][C]-0.066071[/C][C]-0.9977[/C][C]0.159753[/C][/ROW]
[ROW][C]49[/C][C]-0.077902[/C][C]-1.1763[/C][C]0.120351[/C][/ROW]
[ROW][C]50[/C][C]-0.022353[/C][C]-0.3375[/C][C]0.368015[/C][/ROW]
[ROW][C]51[/C][C]0.051734[/C][C]0.7812[/C][C]0.217757[/C][/ROW]
[ROW][C]52[/C][C]0.017972[/C][C]0.2714[/C][C]0.393174[/C][/ROW]
[ROW][C]53[/C][C]-0.186585[/C][C]-2.8174[/C][C]0.002633[/C][/ROW]
[ROW][C]54[/C][C]-0.015528[/C][C]-0.2345[/C][C]0.407418[/C][/ROW]
[ROW][C]55[/C][C]-0.073374[/C][C]-1.1079[/C][C]0.134532[/C][/ROW]
[ROW][C]56[/C][C]-0.032444[/C][C]-0.4899[/C][C]0.312341[/C][/ROW]
[ROW][C]57[/C][C]-0.023219[/C][C]-0.3506[/C][C]0.363107[/C][/ROW]
[ROW][C]58[/C][C]-0.022142[/C][C]-0.3343[/C][C]0.369219[/C][/ROW]
[ROW][C]59[/C][C]-0.04598[/C][C]-0.6943[/C][C]0.244104[/C][/ROW]
[ROW][C]60[/C][C]-0.035677[/C][C]-0.5387[/C][C]0.295308[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33302&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33302&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0563490.85090.197872
20.0620840.93740.174761
30.1358882.05190.020662
40.1362992.05810.02036
50.1162051.75470.040331
60.105481.59270.056305
70.0511560.77240.220328
80.0709651.07150.142529
90.0661160.99830.15959
10-0.036042-0.54420.293412
110.0304790.46020.322898
12-0.248843-3.75750.000109
130.0157130.23730.406332
140.1162981.75610.040211
15-0.008138-0.12290.451155
16-0.060093-0.90740.182579
17-0.00447-0.06750.473124
180.0186680.28190.389146
190.0007860.01190.495271
200.0585550.88420.188772
210.0637830.96310.168258
220.0465680.70320.241338
230.183122.7650.003079
24-0.039292-0.59330.276786
25-0.040916-0.61780.268658
26-0.025679-0.38770.349286
270.0622540.940.174103
280.0240210.36270.358579
290.114071.72240.043175
30-0.070288-1.06130.144832
31-0.031372-0.47370.318079
320.026760.40410.343269
33-0.095424-1.44090.075497
34-0.07173-1.08310.139954
35-0.098597-1.48880.068963
36-0.040137-0.60610.272539
370.0142580.21530.414864
380.0254560.38440.350528
39-0.223899-3.38080.000425
40-0.092116-1.39090.082802
41-0.035896-0.5420.29417
42-0.04553-0.68750.246235
430.0403490.60930.271479
44-0.119875-1.81010.035801
45-0.07148-1.07930.140792
46-0.01302-0.19660.422157
47-0.065983-0.99630.160076
48-0.066071-0.99770.159753
49-0.077902-1.17630.120351
50-0.022353-0.33750.368015
510.0517340.78120.217757
520.0179720.27140.393174
53-0.186585-2.81740.002633
54-0.015528-0.23450.407418
55-0.073374-1.10790.134532
56-0.032444-0.48990.312341
57-0.023219-0.35060.363107
58-0.022142-0.33430.369219
59-0.04598-0.69430.244104
60-0.035677-0.53870.295308







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0563490.85090.197872
20.0590960.89230.186578
30.1301331.9650.025316
40.1224411.84880.032889
50.0949591.43390.076492
60.0730871.10360.135468
70.0063680.09610.461744
80.0226790.34250.366163
90.0164940.2490.401773
10-0.083131-1.25520.105337
11-0.005995-0.09050.463973
12-0.296946-4.48386e-06
130.0115770.17480.430695
140.1373452.07390.019607
150.0574180.8670.193429
160.0035420.05350.478698
170.0201440.30420.38064
180.0472770.71390.238018
190.0042640.06440.474362
200.0715231.080.140646
210.08631.30310.096928
22-0.018553-0.28010.38981
230.1751992.64540.004363
24-0.176708-2.66820.004086
25-0.102121-1.5420.062231
26-0.047713-0.72050.235992
270.0265550.4010.344406
28-0.025413-0.38370.350767
290.128481.940.026806
30-0.045156-0.68180.248016
31-0.045092-0.68090.248321
320.0480660.72580.23436
33-0.034892-0.52690.2994
34-0.108212-1.6340.051822
35-0.008122-0.12260.451247
36-0.107013-1.61590.053754
37-0.023169-0.34990.363387
380.0942451.42310.078041
39-0.130399-1.9690.025083
40-0.097628-1.47420.070909
410.0703051.06160.144776
42-0.035457-0.53540.296451
430.0525880.79410.213993
44-0.039799-0.6010.274233
45-0.047389-0.71560.237497
46-0.082179-1.24090.107964
470.0181850.27460.391938
48-0.027039-0.40830.341725
49-0.10109-1.52640.064144
500.0633590.95670.169865
510.007180.10840.45688
52-0.049791-0.75180.226463
53-0.037474-0.56580.286027
540.0339270.51230.304472
55-0.059759-0.90230.183915
560.0089170.13460.446507
570.023310.3520.362589
58-0.040365-0.60950.271403
59-0.003445-0.0520.47928
600.0047260.07140.471587

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.056349 & 0.8509 & 0.197872 \tabularnewline
2 & 0.059096 & 0.8923 & 0.186578 \tabularnewline
3 & 0.130133 & 1.965 & 0.025316 \tabularnewline
4 & 0.122441 & 1.8488 & 0.032889 \tabularnewline
5 & 0.094959 & 1.4339 & 0.076492 \tabularnewline
6 & 0.073087 & 1.1036 & 0.135468 \tabularnewline
7 & 0.006368 & 0.0961 & 0.461744 \tabularnewline
8 & 0.022679 & 0.3425 & 0.366163 \tabularnewline
9 & 0.016494 & 0.249 & 0.401773 \tabularnewline
10 & -0.083131 & -1.2552 & 0.105337 \tabularnewline
11 & -0.005995 & -0.0905 & 0.463973 \tabularnewline
12 & -0.296946 & -4.4838 & 6e-06 \tabularnewline
13 & 0.011577 & 0.1748 & 0.430695 \tabularnewline
14 & 0.137345 & 2.0739 & 0.019607 \tabularnewline
15 & 0.057418 & 0.867 & 0.193429 \tabularnewline
16 & 0.003542 & 0.0535 & 0.478698 \tabularnewline
17 & 0.020144 & 0.3042 & 0.38064 \tabularnewline
18 & 0.047277 & 0.7139 & 0.238018 \tabularnewline
19 & 0.004264 & 0.0644 & 0.474362 \tabularnewline
20 & 0.071523 & 1.08 & 0.140646 \tabularnewline
21 & 0.0863 & 1.3031 & 0.096928 \tabularnewline
22 & -0.018553 & -0.2801 & 0.38981 \tabularnewline
23 & 0.175199 & 2.6454 & 0.004363 \tabularnewline
24 & -0.176708 & -2.6682 & 0.004086 \tabularnewline
25 & -0.102121 & -1.542 & 0.062231 \tabularnewline
26 & -0.047713 & -0.7205 & 0.235992 \tabularnewline
27 & 0.026555 & 0.401 & 0.344406 \tabularnewline
28 & -0.025413 & -0.3837 & 0.350767 \tabularnewline
29 & 0.12848 & 1.94 & 0.026806 \tabularnewline
30 & -0.045156 & -0.6818 & 0.248016 \tabularnewline
31 & -0.045092 & -0.6809 & 0.248321 \tabularnewline
32 & 0.048066 & 0.7258 & 0.23436 \tabularnewline
33 & -0.034892 & -0.5269 & 0.2994 \tabularnewline
34 & -0.108212 & -1.634 & 0.051822 \tabularnewline
35 & -0.008122 & -0.1226 & 0.451247 \tabularnewline
36 & -0.107013 & -1.6159 & 0.053754 \tabularnewline
37 & -0.023169 & -0.3499 & 0.363387 \tabularnewline
38 & 0.094245 & 1.4231 & 0.078041 \tabularnewline
39 & -0.130399 & -1.969 & 0.025083 \tabularnewline
40 & -0.097628 & -1.4742 & 0.070909 \tabularnewline
41 & 0.070305 & 1.0616 & 0.144776 \tabularnewline
42 & -0.035457 & -0.5354 & 0.296451 \tabularnewline
43 & 0.052588 & 0.7941 & 0.213993 \tabularnewline
44 & -0.039799 & -0.601 & 0.274233 \tabularnewline
45 & -0.047389 & -0.7156 & 0.237497 \tabularnewline
46 & -0.082179 & -1.2409 & 0.107964 \tabularnewline
47 & 0.018185 & 0.2746 & 0.391938 \tabularnewline
48 & -0.027039 & -0.4083 & 0.341725 \tabularnewline
49 & -0.10109 & -1.5264 & 0.064144 \tabularnewline
50 & 0.063359 & 0.9567 & 0.169865 \tabularnewline
51 & 0.00718 & 0.1084 & 0.45688 \tabularnewline
52 & -0.049791 & -0.7518 & 0.226463 \tabularnewline
53 & -0.037474 & -0.5658 & 0.286027 \tabularnewline
54 & 0.033927 & 0.5123 & 0.304472 \tabularnewline
55 & -0.059759 & -0.9023 & 0.183915 \tabularnewline
56 & 0.008917 & 0.1346 & 0.446507 \tabularnewline
57 & 0.02331 & 0.352 & 0.362589 \tabularnewline
58 & -0.040365 & -0.6095 & 0.271403 \tabularnewline
59 & -0.003445 & -0.052 & 0.47928 \tabularnewline
60 & 0.004726 & 0.0714 & 0.471587 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33302&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.056349[/C][C]0.8509[/C][C]0.197872[/C][/ROW]
[ROW][C]2[/C][C]0.059096[/C][C]0.8923[/C][C]0.186578[/C][/ROW]
[ROW][C]3[/C][C]0.130133[/C][C]1.965[/C][C]0.025316[/C][/ROW]
[ROW][C]4[/C][C]0.122441[/C][C]1.8488[/C][C]0.032889[/C][/ROW]
[ROW][C]5[/C][C]0.094959[/C][C]1.4339[/C][C]0.076492[/C][/ROW]
[ROW][C]6[/C][C]0.073087[/C][C]1.1036[/C][C]0.135468[/C][/ROW]
[ROW][C]7[/C][C]0.006368[/C][C]0.0961[/C][C]0.461744[/C][/ROW]
[ROW][C]8[/C][C]0.022679[/C][C]0.3425[/C][C]0.366163[/C][/ROW]
[ROW][C]9[/C][C]0.016494[/C][C]0.249[/C][C]0.401773[/C][/ROW]
[ROW][C]10[/C][C]-0.083131[/C][C]-1.2552[/C][C]0.105337[/C][/ROW]
[ROW][C]11[/C][C]-0.005995[/C][C]-0.0905[/C][C]0.463973[/C][/ROW]
[ROW][C]12[/C][C]-0.296946[/C][C]-4.4838[/C][C]6e-06[/C][/ROW]
[ROW][C]13[/C][C]0.011577[/C][C]0.1748[/C][C]0.430695[/C][/ROW]
[ROW][C]14[/C][C]0.137345[/C][C]2.0739[/C][C]0.019607[/C][/ROW]
[ROW][C]15[/C][C]0.057418[/C][C]0.867[/C][C]0.193429[/C][/ROW]
[ROW][C]16[/C][C]0.003542[/C][C]0.0535[/C][C]0.478698[/C][/ROW]
[ROW][C]17[/C][C]0.020144[/C][C]0.3042[/C][C]0.38064[/C][/ROW]
[ROW][C]18[/C][C]0.047277[/C][C]0.7139[/C][C]0.238018[/C][/ROW]
[ROW][C]19[/C][C]0.004264[/C][C]0.0644[/C][C]0.474362[/C][/ROW]
[ROW][C]20[/C][C]0.071523[/C][C]1.08[/C][C]0.140646[/C][/ROW]
[ROW][C]21[/C][C]0.0863[/C][C]1.3031[/C][C]0.096928[/C][/ROW]
[ROW][C]22[/C][C]-0.018553[/C][C]-0.2801[/C][C]0.38981[/C][/ROW]
[ROW][C]23[/C][C]0.175199[/C][C]2.6454[/C][C]0.004363[/C][/ROW]
[ROW][C]24[/C][C]-0.176708[/C][C]-2.6682[/C][C]0.004086[/C][/ROW]
[ROW][C]25[/C][C]-0.102121[/C][C]-1.542[/C][C]0.062231[/C][/ROW]
[ROW][C]26[/C][C]-0.047713[/C][C]-0.7205[/C][C]0.235992[/C][/ROW]
[ROW][C]27[/C][C]0.026555[/C][C]0.401[/C][C]0.344406[/C][/ROW]
[ROW][C]28[/C][C]-0.025413[/C][C]-0.3837[/C][C]0.350767[/C][/ROW]
[ROW][C]29[/C][C]0.12848[/C][C]1.94[/C][C]0.026806[/C][/ROW]
[ROW][C]30[/C][C]-0.045156[/C][C]-0.6818[/C][C]0.248016[/C][/ROW]
[ROW][C]31[/C][C]-0.045092[/C][C]-0.6809[/C][C]0.248321[/C][/ROW]
[ROW][C]32[/C][C]0.048066[/C][C]0.7258[/C][C]0.23436[/C][/ROW]
[ROW][C]33[/C][C]-0.034892[/C][C]-0.5269[/C][C]0.2994[/C][/ROW]
[ROW][C]34[/C][C]-0.108212[/C][C]-1.634[/C][C]0.051822[/C][/ROW]
[ROW][C]35[/C][C]-0.008122[/C][C]-0.1226[/C][C]0.451247[/C][/ROW]
[ROW][C]36[/C][C]-0.107013[/C][C]-1.6159[/C][C]0.053754[/C][/ROW]
[ROW][C]37[/C][C]-0.023169[/C][C]-0.3499[/C][C]0.363387[/C][/ROW]
[ROW][C]38[/C][C]0.094245[/C][C]1.4231[/C][C]0.078041[/C][/ROW]
[ROW][C]39[/C][C]-0.130399[/C][C]-1.969[/C][C]0.025083[/C][/ROW]
[ROW][C]40[/C][C]-0.097628[/C][C]-1.4742[/C][C]0.070909[/C][/ROW]
[ROW][C]41[/C][C]0.070305[/C][C]1.0616[/C][C]0.144776[/C][/ROW]
[ROW][C]42[/C][C]-0.035457[/C][C]-0.5354[/C][C]0.296451[/C][/ROW]
[ROW][C]43[/C][C]0.052588[/C][C]0.7941[/C][C]0.213993[/C][/ROW]
[ROW][C]44[/C][C]-0.039799[/C][C]-0.601[/C][C]0.274233[/C][/ROW]
[ROW][C]45[/C][C]-0.047389[/C][C]-0.7156[/C][C]0.237497[/C][/ROW]
[ROW][C]46[/C][C]-0.082179[/C][C]-1.2409[/C][C]0.107964[/C][/ROW]
[ROW][C]47[/C][C]0.018185[/C][C]0.2746[/C][C]0.391938[/C][/ROW]
[ROW][C]48[/C][C]-0.027039[/C][C]-0.4083[/C][C]0.341725[/C][/ROW]
[ROW][C]49[/C][C]-0.10109[/C][C]-1.5264[/C][C]0.064144[/C][/ROW]
[ROW][C]50[/C][C]0.063359[/C][C]0.9567[/C][C]0.169865[/C][/ROW]
[ROW][C]51[/C][C]0.00718[/C][C]0.1084[/C][C]0.45688[/C][/ROW]
[ROW][C]52[/C][C]-0.049791[/C][C]-0.7518[/C][C]0.226463[/C][/ROW]
[ROW][C]53[/C][C]-0.037474[/C][C]-0.5658[/C][C]0.286027[/C][/ROW]
[ROW][C]54[/C][C]0.033927[/C][C]0.5123[/C][C]0.304472[/C][/ROW]
[ROW][C]55[/C][C]-0.059759[/C][C]-0.9023[/C][C]0.183915[/C][/ROW]
[ROW][C]56[/C][C]0.008917[/C][C]0.1346[/C][C]0.446507[/C][/ROW]
[ROW][C]57[/C][C]0.02331[/C][C]0.352[/C][C]0.362589[/C][/ROW]
[ROW][C]58[/C][C]-0.040365[/C][C]-0.6095[/C][C]0.271403[/C][/ROW]
[ROW][C]59[/C][C]-0.003445[/C][C]-0.052[/C][C]0.47928[/C][/ROW]
[ROW][C]60[/C][C]0.004726[/C][C]0.0714[/C][C]0.471587[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33302&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33302&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0563490.85090.197872
20.0590960.89230.186578
30.1301331.9650.025316
40.1224411.84880.032889
50.0949591.43390.076492
60.0730871.10360.135468
70.0063680.09610.461744
80.0226790.34250.366163
90.0164940.2490.401773
10-0.083131-1.25520.105337
11-0.005995-0.09050.463973
12-0.296946-4.48386e-06
130.0115770.17480.430695
140.1373452.07390.019607
150.0574180.8670.193429
160.0035420.05350.478698
170.0201440.30420.38064
180.0472770.71390.238018
190.0042640.06440.474362
200.0715231.080.140646
210.08631.30310.096928
22-0.018553-0.28010.38981
230.1751992.64540.004363
24-0.176708-2.66820.004086
25-0.102121-1.5420.062231
26-0.047713-0.72050.235992
270.0265550.4010.344406
28-0.025413-0.38370.350767
290.128481.940.026806
30-0.045156-0.68180.248016
31-0.045092-0.68090.248321
320.0480660.72580.23436
33-0.034892-0.52690.2994
34-0.108212-1.6340.051822
35-0.008122-0.12260.451247
36-0.107013-1.61590.053754
37-0.023169-0.34990.363387
380.0942451.42310.078041
39-0.130399-1.9690.025083
40-0.097628-1.47420.070909
410.0703051.06160.144776
42-0.035457-0.53540.296451
430.0525880.79410.213993
44-0.039799-0.6010.274233
45-0.047389-0.71560.237497
46-0.082179-1.24090.107964
470.0181850.27460.391938
48-0.027039-0.40830.341725
49-0.10109-1.52640.064144
500.0633590.95670.169865
510.007180.10840.45688
52-0.049791-0.75180.226463
53-0.037474-0.56580.286027
540.0339270.51230.304472
55-0.059759-0.90230.183915
560.0089170.13460.446507
570.023310.3520.362589
58-0.040365-0.60950.271403
59-0.003445-0.0520.47928
600.0047260.07140.471587



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
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)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='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('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='mytable.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('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='mytable1.tab')