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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 computationWed, 10 Dec 2008 13:57:47 -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/10/t1228942712u24s35gcc41l4ed.htm/, Retrieved Sun, 26 May 2024 01:36:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32118, Retrieved Sun, 26 May 2024 01:36:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
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 20:57:47] [270782e2502ae87124d0ebdcd1862d6a] [Current]
-   P     [(Partial) Autocorrelation Function] [ACF werkloosheid ...] [2008-12-14 11:29:56] [57fa5e3679c393aa19449b2f1be9928b]
-           [(Partial) Autocorrelation Function] [] [2008-12-21 20:50:44] [ffbe22449df335faef31f462015daa42]
-           [(Partial) Autocorrelation Function] [] [2008-12-21 21:30:44] [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=32118&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=32118&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32118&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
10.95658214.85010
20.88706913.7710
30.83477612.95920
40.80730212.53270
50.79934312.40910
60.78683812.2150
70.76171811.8250
80.73419911.39780
90.72935311.32260
100.74965911.63780
110.786112.20360
120.79602812.35770
130.73192211.36250
140.64423410.00120
150.5727698.89180
160.5270438.18190
170.5011667.78020
180.4721127.32920
190.4326916.71720
200.3917226.08120
210.3734115.79690
220.3792775.8880
230.4010356.22570
240.3980446.17930
250.3273035.08110
260.2346813.64320.000165
270.1588972.46670.007166
280.1100851.7090.044372
290.0815211.26550.103448
300.0510820.7930.214277
310.0119290.18520.426618
32-0.028331-0.43980.330232
33-0.046801-0.72650.234104
34-0.041804-0.6490.258488
35-0.021171-0.32870.371346
36-0.022118-0.34340.365811
37-0.086544-1.34350.090183
38-0.171411-2.6610.004157
39-0.239149-3.71260.000127
40-0.279102-4.33281.1e-05
41-0.298101-4.62783e-06
42-0.317157-4.92361e-06
43-0.344725-5.35160
44-0.373099-5.79210
45-0.379886-5.89740
46-0.364271-5.6550
47-0.333435-5.17630
48-0.322594-5.0081e-06
49-0.370873-5.75750
50-0.437555-6.79270
51-0.487153-7.56270
52-0.509756-7.91350
53-0.511802-7.94530
54-0.512297-7.9530
55-0.521107-8.08980
56-0.530791-8.24010
57-0.520097-8.07410
58-0.488206-7.5790
59-0.44124-6.84990
60-0.413808-6.4240

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.956582 & 14.8501 & 0 \tabularnewline
2 & 0.887069 & 13.771 & 0 \tabularnewline
3 & 0.834776 & 12.9592 & 0 \tabularnewline
4 & 0.807302 & 12.5327 & 0 \tabularnewline
5 & 0.799343 & 12.4091 & 0 \tabularnewline
6 & 0.786838 & 12.215 & 0 \tabularnewline
7 & 0.761718 & 11.825 & 0 \tabularnewline
8 & 0.734199 & 11.3978 & 0 \tabularnewline
9 & 0.729353 & 11.3226 & 0 \tabularnewline
10 & 0.749659 & 11.6378 & 0 \tabularnewline
11 & 0.7861 & 12.2036 & 0 \tabularnewline
12 & 0.796028 & 12.3577 & 0 \tabularnewline
13 & 0.731922 & 11.3625 & 0 \tabularnewline
14 & 0.644234 & 10.0012 & 0 \tabularnewline
15 & 0.572769 & 8.8918 & 0 \tabularnewline
16 & 0.527043 & 8.1819 & 0 \tabularnewline
17 & 0.501166 & 7.7802 & 0 \tabularnewline
18 & 0.472112 & 7.3292 & 0 \tabularnewline
19 & 0.432691 & 6.7172 & 0 \tabularnewline
20 & 0.391722 & 6.0812 & 0 \tabularnewline
21 & 0.373411 & 5.7969 & 0 \tabularnewline
22 & 0.379277 & 5.888 & 0 \tabularnewline
23 & 0.401035 & 6.2257 & 0 \tabularnewline
24 & 0.398044 & 6.1793 & 0 \tabularnewline
25 & 0.327303 & 5.0811 & 0 \tabularnewline
26 & 0.234681 & 3.6432 & 0.000165 \tabularnewline
27 & 0.158897 & 2.4667 & 0.007166 \tabularnewline
28 & 0.110085 & 1.709 & 0.044372 \tabularnewline
29 & 0.081521 & 1.2655 & 0.103448 \tabularnewline
30 & 0.051082 & 0.793 & 0.214277 \tabularnewline
31 & 0.011929 & 0.1852 & 0.426618 \tabularnewline
32 & -0.028331 & -0.4398 & 0.330232 \tabularnewline
33 & -0.046801 & -0.7265 & 0.234104 \tabularnewline
34 & -0.041804 & -0.649 & 0.258488 \tabularnewline
35 & -0.021171 & -0.3287 & 0.371346 \tabularnewline
36 & -0.022118 & -0.3434 & 0.365811 \tabularnewline
37 & -0.086544 & -1.3435 & 0.090183 \tabularnewline
38 & -0.171411 & -2.661 & 0.004157 \tabularnewline
39 & -0.239149 & -3.7126 & 0.000127 \tabularnewline
40 & -0.279102 & -4.3328 & 1.1e-05 \tabularnewline
41 & -0.298101 & -4.6278 & 3e-06 \tabularnewline
42 & -0.317157 & -4.9236 & 1e-06 \tabularnewline
43 & -0.344725 & -5.3516 & 0 \tabularnewline
44 & -0.373099 & -5.7921 & 0 \tabularnewline
45 & -0.379886 & -5.8974 & 0 \tabularnewline
46 & -0.364271 & -5.655 & 0 \tabularnewline
47 & -0.333435 & -5.1763 & 0 \tabularnewline
48 & -0.322594 & -5.008 & 1e-06 \tabularnewline
49 & -0.370873 & -5.7575 & 0 \tabularnewline
50 & -0.437555 & -6.7927 & 0 \tabularnewline
51 & -0.487153 & -7.5627 & 0 \tabularnewline
52 & -0.509756 & -7.9135 & 0 \tabularnewline
53 & -0.511802 & -7.9453 & 0 \tabularnewline
54 & -0.512297 & -7.953 & 0 \tabularnewline
55 & -0.521107 & -8.0898 & 0 \tabularnewline
56 & -0.530791 & -8.2401 & 0 \tabularnewline
57 & -0.520097 & -8.0741 & 0 \tabularnewline
58 & -0.488206 & -7.579 & 0 \tabularnewline
59 & -0.44124 & -6.8499 & 0 \tabularnewline
60 & -0.413808 & -6.424 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32118&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]0.956582[/C][C]14.8501[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.887069[/C][C]13.771[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.834776[/C][C]12.9592[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.807302[/C][C]12.5327[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.799343[/C][C]12.4091[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.786838[/C][C]12.215[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.761718[/C][C]11.825[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.734199[/C][C]11.3978[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.729353[/C][C]11.3226[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.749659[/C][C]11.6378[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.7861[/C][C]12.2036[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.796028[/C][C]12.3577[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.731922[/C][C]11.3625[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.644234[/C][C]10.0012[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.572769[/C][C]8.8918[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.527043[/C][C]8.1819[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.501166[/C][C]7.7802[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.472112[/C][C]7.3292[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.432691[/C][C]6.7172[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.391722[/C][C]6.0812[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.373411[/C][C]5.7969[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.379277[/C][C]5.888[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.401035[/C][C]6.2257[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.398044[/C][C]6.1793[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.327303[/C][C]5.0811[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.234681[/C][C]3.6432[/C][C]0.000165[/C][/ROW]
[ROW][C]27[/C][C]0.158897[/C][C]2.4667[/C][C]0.007166[/C][/ROW]
[ROW][C]28[/C][C]0.110085[/C][C]1.709[/C][C]0.044372[/C][/ROW]
[ROW][C]29[/C][C]0.081521[/C][C]1.2655[/C][C]0.103448[/C][/ROW]
[ROW][C]30[/C][C]0.051082[/C][C]0.793[/C][C]0.214277[/C][/ROW]
[ROW][C]31[/C][C]0.011929[/C][C]0.1852[/C][C]0.426618[/C][/ROW]
[ROW][C]32[/C][C]-0.028331[/C][C]-0.4398[/C][C]0.330232[/C][/ROW]
[ROW][C]33[/C][C]-0.046801[/C][C]-0.7265[/C][C]0.234104[/C][/ROW]
[ROW][C]34[/C][C]-0.041804[/C][C]-0.649[/C][C]0.258488[/C][/ROW]
[ROW][C]35[/C][C]-0.021171[/C][C]-0.3287[/C][C]0.371346[/C][/ROW]
[ROW][C]36[/C][C]-0.022118[/C][C]-0.3434[/C][C]0.365811[/C][/ROW]
[ROW][C]37[/C][C]-0.086544[/C][C]-1.3435[/C][C]0.090183[/C][/ROW]
[ROW][C]38[/C][C]-0.171411[/C][C]-2.661[/C][C]0.004157[/C][/ROW]
[ROW][C]39[/C][C]-0.239149[/C][C]-3.7126[/C][C]0.000127[/C][/ROW]
[ROW][C]40[/C][C]-0.279102[/C][C]-4.3328[/C][C]1.1e-05[/C][/ROW]
[ROW][C]41[/C][C]-0.298101[/C][C]-4.6278[/C][C]3e-06[/C][/ROW]
[ROW][C]42[/C][C]-0.317157[/C][C]-4.9236[/C][C]1e-06[/C][/ROW]
[ROW][C]43[/C][C]-0.344725[/C][C]-5.3516[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]-0.373099[/C][C]-5.7921[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]-0.379886[/C][C]-5.8974[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]-0.364271[/C][C]-5.655[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]-0.333435[/C][C]-5.1763[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]-0.322594[/C][C]-5.008[/C][C]1e-06[/C][/ROW]
[ROW][C]49[/C][C]-0.370873[/C][C]-5.7575[/C][C]0[/C][/ROW]
[ROW][C]50[/C][C]-0.437555[/C][C]-6.7927[/C][C]0[/C][/ROW]
[ROW][C]51[/C][C]-0.487153[/C][C]-7.5627[/C][C]0[/C][/ROW]
[ROW][C]52[/C][C]-0.509756[/C][C]-7.9135[/C][C]0[/C][/ROW]
[ROW][C]53[/C][C]-0.511802[/C][C]-7.9453[/C][C]0[/C][/ROW]
[ROW][C]54[/C][C]-0.512297[/C][C]-7.953[/C][C]0[/C][/ROW]
[ROW][C]55[/C][C]-0.521107[/C][C]-8.0898[/C][C]0[/C][/ROW]
[ROW][C]56[/C][C]-0.530791[/C][C]-8.2401[/C][C]0[/C][/ROW]
[ROW][C]57[/C][C]-0.520097[/C][C]-8.0741[/C][C]0[/C][/ROW]
[ROW][C]58[/C][C]-0.488206[/C][C]-7.579[/C][C]0[/C][/ROW]
[ROW][C]59[/C][C]-0.44124[/C][C]-6.8499[/C][C]0[/C][/ROW]
[ROW][C]60[/C][C]-0.413808[/C][C]-6.424[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32118&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32118&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
10.95658214.85010
20.88706913.7710
30.83477612.95920
40.80730212.53270
50.79934312.40910
60.78683812.2150
70.76171811.8250
80.73419911.39780
90.72935311.32260
100.74965911.63780
110.786112.20360
120.79602812.35770
130.73192211.36250
140.64423410.00120
150.5727698.89180
160.5270438.18190
170.5011667.78020
180.4721127.32920
190.4326916.71720
200.3917226.08120
210.3734115.79690
220.3792775.8880
230.4010356.22570
240.3980446.17930
250.3273035.08110
260.2346813.64320.000165
270.1588972.46670.007166
280.1100851.7090.044372
290.0815211.26550.103448
300.0510820.7930.214277
310.0119290.18520.426618
32-0.028331-0.43980.330232
33-0.046801-0.72650.234104
34-0.041804-0.6490.258488
35-0.021171-0.32870.371346
36-0.022118-0.34340.365811
37-0.086544-1.34350.090183
38-0.171411-2.6610.004157
39-0.239149-3.71260.000127
40-0.279102-4.33281.1e-05
41-0.298101-4.62783e-06
42-0.317157-4.92361e-06
43-0.344725-5.35160
44-0.373099-5.79210
45-0.379886-5.89740
46-0.364271-5.6550
47-0.333435-5.17630
48-0.322594-5.0081e-06
49-0.370873-5.75750
50-0.437555-6.79270
51-0.487153-7.56270
52-0.509756-7.91350
53-0.511802-7.94530
54-0.512297-7.9530
55-0.521107-8.08980
56-0.530791-8.24010
57-0.520097-8.07410
58-0.488206-7.5790
59-0.44124-6.84990
60-0.413808-6.4240







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95658214.85010
2-0.329365-5.11310
30.2878814.46916e-06
40.117171.8190.035079
50.1535582.38390.008953
6-0.108381-1.68250.046881
70.013330.20690.418119
80.0484970.75290.226129
90.2889324.48546e-06
100.1231481.91180.028546
110.2498153.87826.8e-05
12-0.337617-5.24120
13-0.756728-11.74760
14-0.013464-0.2090.417306
15-0.101094-1.56940.058934
160.0304290.47240.318541
170.1028151.59610.055886
180.0934231.45030.074135
190.0980451.52210.064651
20-0.077799-1.20780.114161
21-0.091637-1.42260.078075
22-0.126792-1.96830.025087
23-0.001062-0.01650.493427
240.0205040.31830.375263
25-0.169597-2.63290.004507
260.0295540.45880.323398
270.0391180.60730.272119
280.011760.18260.427644
290.0279480.43390.332385
30-0.006711-0.10420.458557
310.0174010.27010.393641
32-0.070127-1.08870.138696
33-0.085622-1.32920.092518
34-0.050886-0.790.215165
35-0.003849-0.05970.476203
360.1223891.90.029314
37-0.098521-1.52950.063731
380.0462290.71770.236831
39-0.005418-0.08410.466522
40-0.028477-0.44210.329414
410.0016950.02630.489515
420.0074380.11550.454082
43-0.029397-0.45640.32427
440.0242990.37720.353171
45-0.007204-0.11180.45552
46-0.008708-0.13520.44629
47-0.010313-0.16010.436468
480.0292670.45430.324997
49-0.013011-0.2020.420049
500.0528330.82020.20646
510.0070110.10880.456709
52-0.050426-0.78280.217252
53-0.01981-0.30750.379351
540.0379820.58960.277993
55-0.024466-0.37980.352206
560.0392290.6090.271552
57-0.001777-0.02760.489006
580.0474860.73720.230865
590.0258870.40190.344065
60-0.022052-0.34230.366196

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.956582 & 14.8501 & 0 \tabularnewline
2 & -0.329365 & -5.1131 & 0 \tabularnewline
3 & 0.287881 & 4.4691 & 6e-06 \tabularnewline
4 & 0.11717 & 1.819 & 0.035079 \tabularnewline
5 & 0.153558 & 2.3839 & 0.008953 \tabularnewline
6 & -0.108381 & -1.6825 & 0.046881 \tabularnewline
7 & 0.01333 & 0.2069 & 0.418119 \tabularnewline
8 & 0.048497 & 0.7529 & 0.226129 \tabularnewline
9 & 0.288932 & 4.4854 & 6e-06 \tabularnewline
10 & 0.123148 & 1.9118 & 0.028546 \tabularnewline
11 & 0.249815 & 3.8782 & 6.8e-05 \tabularnewline
12 & -0.337617 & -5.2412 & 0 \tabularnewline
13 & -0.756728 & -11.7476 & 0 \tabularnewline
14 & -0.013464 & -0.209 & 0.417306 \tabularnewline
15 & -0.101094 & -1.5694 & 0.058934 \tabularnewline
16 & 0.030429 & 0.4724 & 0.318541 \tabularnewline
17 & 0.102815 & 1.5961 & 0.055886 \tabularnewline
18 & 0.093423 & 1.4503 & 0.074135 \tabularnewline
19 & 0.098045 & 1.5221 & 0.064651 \tabularnewline
20 & -0.077799 & -1.2078 & 0.114161 \tabularnewline
21 & -0.091637 & -1.4226 & 0.078075 \tabularnewline
22 & -0.126792 & -1.9683 & 0.025087 \tabularnewline
23 & -0.001062 & -0.0165 & 0.493427 \tabularnewline
24 & 0.020504 & 0.3183 & 0.375263 \tabularnewline
25 & -0.169597 & -2.6329 & 0.004507 \tabularnewline
26 & 0.029554 & 0.4588 & 0.323398 \tabularnewline
27 & 0.039118 & 0.6073 & 0.272119 \tabularnewline
28 & 0.01176 & 0.1826 & 0.427644 \tabularnewline
29 & 0.027948 & 0.4339 & 0.332385 \tabularnewline
30 & -0.006711 & -0.1042 & 0.458557 \tabularnewline
31 & 0.017401 & 0.2701 & 0.393641 \tabularnewline
32 & -0.070127 & -1.0887 & 0.138696 \tabularnewline
33 & -0.085622 & -1.3292 & 0.092518 \tabularnewline
34 & -0.050886 & -0.79 & 0.215165 \tabularnewline
35 & -0.003849 & -0.0597 & 0.476203 \tabularnewline
36 & 0.122389 & 1.9 & 0.029314 \tabularnewline
37 & -0.098521 & -1.5295 & 0.063731 \tabularnewline
38 & 0.046229 & 0.7177 & 0.236831 \tabularnewline
39 & -0.005418 & -0.0841 & 0.466522 \tabularnewline
40 & -0.028477 & -0.4421 & 0.329414 \tabularnewline
41 & 0.001695 & 0.0263 & 0.489515 \tabularnewline
42 & 0.007438 & 0.1155 & 0.454082 \tabularnewline
43 & -0.029397 & -0.4564 & 0.32427 \tabularnewline
44 & 0.024299 & 0.3772 & 0.353171 \tabularnewline
45 & -0.007204 & -0.1118 & 0.45552 \tabularnewline
46 & -0.008708 & -0.1352 & 0.44629 \tabularnewline
47 & -0.010313 & -0.1601 & 0.436468 \tabularnewline
48 & 0.029267 & 0.4543 & 0.324997 \tabularnewline
49 & -0.013011 & -0.202 & 0.420049 \tabularnewline
50 & 0.052833 & 0.8202 & 0.20646 \tabularnewline
51 & 0.007011 & 0.1088 & 0.456709 \tabularnewline
52 & -0.050426 & -0.7828 & 0.217252 \tabularnewline
53 & -0.01981 & -0.3075 & 0.379351 \tabularnewline
54 & 0.037982 & 0.5896 & 0.277993 \tabularnewline
55 & -0.024466 & -0.3798 & 0.352206 \tabularnewline
56 & 0.039229 & 0.609 & 0.271552 \tabularnewline
57 & -0.001777 & -0.0276 & 0.489006 \tabularnewline
58 & 0.047486 & 0.7372 & 0.230865 \tabularnewline
59 & 0.025887 & 0.4019 & 0.344065 \tabularnewline
60 & -0.022052 & -0.3423 & 0.366196 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32118&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]0.956582[/C][C]14.8501[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.329365[/C][C]-5.1131[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.287881[/C][C]4.4691[/C][C]6e-06[/C][/ROW]
[ROW][C]4[/C][C]0.11717[/C][C]1.819[/C][C]0.035079[/C][/ROW]
[ROW][C]5[/C][C]0.153558[/C][C]2.3839[/C][C]0.008953[/C][/ROW]
[ROW][C]6[/C][C]-0.108381[/C][C]-1.6825[/C][C]0.046881[/C][/ROW]
[ROW][C]7[/C][C]0.01333[/C][C]0.2069[/C][C]0.418119[/C][/ROW]
[ROW][C]8[/C][C]0.048497[/C][C]0.7529[/C][C]0.226129[/C][/ROW]
[ROW][C]9[/C][C]0.288932[/C][C]4.4854[/C][C]6e-06[/C][/ROW]
[ROW][C]10[/C][C]0.123148[/C][C]1.9118[/C][C]0.028546[/C][/ROW]
[ROW][C]11[/C][C]0.249815[/C][C]3.8782[/C][C]6.8e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.337617[/C][C]-5.2412[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.756728[/C][C]-11.7476[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]-0.013464[/C][C]-0.209[/C][C]0.417306[/C][/ROW]
[ROW][C]15[/C][C]-0.101094[/C][C]-1.5694[/C][C]0.058934[/C][/ROW]
[ROW][C]16[/C][C]0.030429[/C][C]0.4724[/C][C]0.318541[/C][/ROW]
[ROW][C]17[/C][C]0.102815[/C][C]1.5961[/C][C]0.055886[/C][/ROW]
[ROW][C]18[/C][C]0.093423[/C][C]1.4503[/C][C]0.074135[/C][/ROW]
[ROW][C]19[/C][C]0.098045[/C][C]1.5221[/C][C]0.064651[/C][/ROW]
[ROW][C]20[/C][C]-0.077799[/C][C]-1.2078[/C][C]0.114161[/C][/ROW]
[ROW][C]21[/C][C]-0.091637[/C][C]-1.4226[/C][C]0.078075[/C][/ROW]
[ROW][C]22[/C][C]-0.126792[/C][C]-1.9683[/C][C]0.025087[/C][/ROW]
[ROW][C]23[/C][C]-0.001062[/C][C]-0.0165[/C][C]0.493427[/C][/ROW]
[ROW][C]24[/C][C]0.020504[/C][C]0.3183[/C][C]0.375263[/C][/ROW]
[ROW][C]25[/C][C]-0.169597[/C][C]-2.6329[/C][C]0.004507[/C][/ROW]
[ROW][C]26[/C][C]0.029554[/C][C]0.4588[/C][C]0.323398[/C][/ROW]
[ROW][C]27[/C][C]0.039118[/C][C]0.6073[/C][C]0.272119[/C][/ROW]
[ROW][C]28[/C][C]0.01176[/C][C]0.1826[/C][C]0.427644[/C][/ROW]
[ROW][C]29[/C][C]0.027948[/C][C]0.4339[/C][C]0.332385[/C][/ROW]
[ROW][C]30[/C][C]-0.006711[/C][C]-0.1042[/C][C]0.458557[/C][/ROW]
[ROW][C]31[/C][C]0.017401[/C][C]0.2701[/C][C]0.393641[/C][/ROW]
[ROW][C]32[/C][C]-0.070127[/C][C]-1.0887[/C][C]0.138696[/C][/ROW]
[ROW][C]33[/C][C]-0.085622[/C][C]-1.3292[/C][C]0.092518[/C][/ROW]
[ROW][C]34[/C][C]-0.050886[/C][C]-0.79[/C][C]0.215165[/C][/ROW]
[ROW][C]35[/C][C]-0.003849[/C][C]-0.0597[/C][C]0.476203[/C][/ROW]
[ROW][C]36[/C][C]0.122389[/C][C]1.9[/C][C]0.029314[/C][/ROW]
[ROW][C]37[/C][C]-0.098521[/C][C]-1.5295[/C][C]0.063731[/C][/ROW]
[ROW][C]38[/C][C]0.046229[/C][C]0.7177[/C][C]0.236831[/C][/ROW]
[ROW][C]39[/C][C]-0.005418[/C][C]-0.0841[/C][C]0.466522[/C][/ROW]
[ROW][C]40[/C][C]-0.028477[/C][C]-0.4421[/C][C]0.329414[/C][/ROW]
[ROW][C]41[/C][C]0.001695[/C][C]0.0263[/C][C]0.489515[/C][/ROW]
[ROW][C]42[/C][C]0.007438[/C][C]0.1155[/C][C]0.454082[/C][/ROW]
[ROW][C]43[/C][C]-0.029397[/C][C]-0.4564[/C][C]0.32427[/C][/ROW]
[ROW][C]44[/C][C]0.024299[/C][C]0.3772[/C][C]0.353171[/C][/ROW]
[ROW][C]45[/C][C]-0.007204[/C][C]-0.1118[/C][C]0.45552[/C][/ROW]
[ROW][C]46[/C][C]-0.008708[/C][C]-0.1352[/C][C]0.44629[/C][/ROW]
[ROW][C]47[/C][C]-0.010313[/C][C]-0.1601[/C][C]0.436468[/C][/ROW]
[ROW][C]48[/C][C]0.029267[/C][C]0.4543[/C][C]0.324997[/C][/ROW]
[ROW][C]49[/C][C]-0.013011[/C][C]-0.202[/C][C]0.420049[/C][/ROW]
[ROW][C]50[/C][C]0.052833[/C][C]0.8202[/C][C]0.20646[/C][/ROW]
[ROW][C]51[/C][C]0.007011[/C][C]0.1088[/C][C]0.456709[/C][/ROW]
[ROW][C]52[/C][C]-0.050426[/C][C]-0.7828[/C][C]0.217252[/C][/ROW]
[ROW][C]53[/C][C]-0.01981[/C][C]-0.3075[/C][C]0.379351[/C][/ROW]
[ROW][C]54[/C][C]0.037982[/C][C]0.5896[/C][C]0.277993[/C][/ROW]
[ROW][C]55[/C][C]-0.024466[/C][C]-0.3798[/C][C]0.352206[/C][/ROW]
[ROW][C]56[/C][C]0.039229[/C][C]0.609[/C][C]0.271552[/C][/ROW]
[ROW][C]57[/C][C]-0.001777[/C][C]-0.0276[/C][C]0.489006[/C][/ROW]
[ROW][C]58[/C][C]0.047486[/C][C]0.7372[/C][C]0.230865[/C][/ROW]
[ROW][C]59[/C][C]0.025887[/C][C]0.4019[/C][C]0.344065[/C][/ROW]
[ROW][C]60[/C][C]-0.022052[/C][C]-0.3423[/C][C]0.366196[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32118&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32118&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
10.95658214.85010
2-0.329365-5.11310
30.2878814.46916e-06
40.117171.8190.035079
50.1535582.38390.008953
6-0.108381-1.68250.046881
70.013330.20690.418119
80.0484970.75290.226129
90.2889324.48546e-06
100.1231481.91180.028546
110.2498153.87826.8e-05
12-0.337617-5.24120
13-0.756728-11.74760
14-0.013464-0.2090.417306
15-0.101094-1.56940.058934
160.0304290.47240.318541
170.1028151.59610.055886
180.0934231.45030.074135
190.0980451.52210.064651
20-0.077799-1.20780.114161
21-0.091637-1.42260.078075
22-0.126792-1.96830.025087
23-0.001062-0.01650.493427
240.0205040.31830.375263
25-0.169597-2.63290.004507
260.0295540.45880.323398
270.0391180.60730.272119
280.011760.18260.427644
290.0279480.43390.332385
30-0.006711-0.10420.458557
310.0174010.27010.393641
32-0.070127-1.08870.138696
33-0.085622-1.32920.092518
34-0.050886-0.790.215165
35-0.003849-0.05970.476203
360.1223891.90.029314
37-0.098521-1.52950.063731
380.0462290.71770.236831
39-0.005418-0.08410.466522
40-0.028477-0.44210.329414
410.0016950.02630.489515
420.0074380.11550.454082
43-0.029397-0.45640.32427
440.0242990.37720.353171
45-0.007204-0.11180.45552
46-0.008708-0.13520.44629
47-0.010313-0.16010.436468
480.0292670.45430.324997
49-0.013011-0.2020.420049
500.0528330.82020.20646
510.0070110.10880.456709
52-0.050426-0.78280.217252
53-0.01981-0.30750.379351
540.0379820.58960.277993
55-0.024466-0.37980.352206
560.0392290.6090.271552
57-0.001777-0.02760.489006
580.0474860.73720.230865
590.0258870.40190.344065
60-0.022052-0.34230.366196



Parameters (Session):
par1 = 60 ; par2 = 1.1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1.1 ; par3 = 0 ; par4 = 0 ; 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')