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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 04:29:56 -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/t1229254239iieoxkp08l20xz6.htm/, Retrieved Wed, 15 May 2024 13:36:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33300, Retrieved Wed, 15 May 2024 13:36:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
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] [57fa5e3679c393aa19449b2f1be9928b]
-   P     [(Partial) Autocorrelation Function] [ACF werkloosheid ...] [2008-12-14 11:29:56] [270782e2502ae87124d0ebdcd1862d6a] [Current]
-           [(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=33300&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=33300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33300&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
10.95674614.85270
20.88758413.7790
30.83555212.97130
40.80811212.54530
50.80010612.4210
60.78758612.22660
70.7624811.83690
80.73501111.41040
90.73019411.33570
100.75031511.6480
110.78647512.20940
120.79629612.36180
130.73241111.37010
140.6451410.01530
150.5739428.910
160.5282128.20010
170.5022137.79640
180.4730877.34430
190.4336286.73170
200.3926666.09580
210.3743515.81150
220.3800065.89930
230.4014686.23250
240.3983926.18470
250.3279475.09110
260.235823.66090.000154
270.1603382.48910.006741
280.1115621.73190.042285
290.0829091.28710.099648
300.0524280.81390.208252
310.0132790.20610.418426
32-0.026926-0.4180.338157
33-0.045378-0.70450.240916
34-0.040553-0.62960.26479
35-0.020194-0.31350.377089
36-0.021217-0.32940.371079
37-0.085329-1.32470.093268
38-0.169702-2.63450.004486
39-0.237127-3.68120.000143
40-0.277029-4.30071.2e-05
41-0.296093-4.59663e-06
42-0.315175-4.89281e-06
43-0.34272-5.32040
44-0.371022-5.75980
45-0.377797-5.8650
46-0.362347-5.62510
47-0.331778-5.15060
48-0.321005-4.98331e-06
49-0.369005-5.72850
50-0.43526-6.7570
51-0.484589-7.52290
52-0.507148-7.87310
53-0.509244-7.90560
54-0.50976-7.91360
55-0.518548-8.050
56-0.528169-8.19940
57-0.517513-8.0340
58-0.485862-7.54260
59-0.43924-6.81880
60-0.411942-6.39510

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.956746 & 14.8527 & 0 \tabularnewline
2 & 0.887584 & 13.779 & 0 \tabularnewline
3 & 0.835552 & 12.9713 & 0 \tabularnewline
4 & 0.808112 & 12.5453 & 0 \tabularnewline
5 & 0.800106 & 12.421 & 0 \tabularnewline
6 & 0.787586 & 12.2266 & 0 \tabularnewline
7 & 0.76248 & 11.8369 & 0 \tabularnewline
8 & 0.735011 & 11.4104 & 0 \tabularnewline
9 & 0.730194 & 11.3357 & 0 \tabularnewline
10 & 0.750315 & 11.648 & 0 \tabularnewline
11 & 0.786475 & 12.2094 & 0 \tabularnewline
12 & 0.796296 & 12.3618 & 0 \tabularnewline
13 & 0.732411 & 11.3701 & 0 \tabularnewline
14 & 0.64514 & 10.0153 & 0 \tabularnewline
15 & 0.573942 & 8.91 & 0 \tabularnewline
16 & 0.528212 & 8.2001 & 0 \tabularnewline
17 & 0.502213 & 7.7964 & 0 \tabularnewline
18 & 0.473087 & 7.3443 & 0 \tabularnewline
19 & 0.433628 & 6.7317 & 0 \tabularnewline
20 & 0.392666 & 6.0958 & 0 \tabularnewline
21 & 0.374351 & 5.8115 & 0 \tabularnewline
22 & 0.380006 & 5.8993 & 0 \tabularnewline
23 & 0.401468 & 6.2325 & 0 \tabularnewline
24 & 0.398392 & 6.1847 & 0 \tabularnewline
25 & 0.327947 & 5.0911 & 0 \tabularnewline
26 & 0.23582 & 3.6609 & 0.000154 \tabularnewline
27 & 0.160338 & 2.4891 & 0.006741 \tabularnewline
28 & 0.111562 & 1.7319 & 0.042285 \tabularnewline
29 & 0.082909 & 1.2871 & 0.099648 \tabularnewline
30 & 0.052428 & 0.8139 & 0.208252 \tabularnewline
31 & 0.013279 & 0.2061 & 0.418426 \tabularnewline
32 & -0.026926 & -0.418 & 0.338157 \tabularnewline
33 & -0.045378 & -0.7045 & 0.240916 \tabularnewline
34 & -0.040553 & -0.6296 & 0.26479 \tabularnewline
35 & -0.020194 & -0.3135 & 0.377089 \tabularnewline
36 & -0.021217 & -0.3294 & 0.371079 \tabularnewline
37 & -0.085329 & -1.3247 & 0.093268 \tabularnewline
38 & -0.169702 & -2.6345 & 0.004486 \tabularnewline
39 & -0.237127 & -3.6812 & 0.000143 \tabularnewline
40 & -0.277029 & -4.3007 & 1.2e-05 \tabularnewline
41 & -0.296093 & -4.5966 & 3e-06 \tabularnewline
42 & -0.315175 & -4.8928 & 1e-06 \tabularnewline
43 & -0.34272 & -5.3204 & 0 \tabularnewline
44 & -0.371022 & -5.7598 & 0 \tabularnewline
45 & -0.377797 & -5.865 & 0 \tabularnewline
46 & -0.362347 & -5.6251 & 0 \tabularnewline
47 & -0.331778 & -5.1506 & 0 \tabularnewline
48 & -0.321005 & -4.9833 & 1e-06 \tabularnewline
49 & -0.369005 & -5.7285 & 0 \tabularnewline
50 & -0.43526 & -6.757 & 0 \tabularnewline
51 & -0.484589 & -7.5229 & 0 \tabularnewline
52 & -0.507148 & -7.8731 & 0 \tabularnewline
53 & -0.509244 & -7.9056 & 0 \tabularnewline
54 & -0.50976 & -7.9136 & 0 \tabularnewline
55 & -0.518548 & -8.05 & 0 \tabularnewline
56 & -0.528169 & -8.1994 & 0 \tabularnewline
57 & -0.517513 & -8.034 & 0 \tabularnewline
58 & -0.485862 & -7.5426 & 0 \tabularnewline
59 & -0.43924 & -6.8188 & 0 \tabularnewline
60 & -0.411942 & -6.3951 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33300&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]0.956746[/C][C]14.8527[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.887584[/C][C]13.779[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.835552[/C][C]12.9713[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.808112[/C][C]12.5453[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.800106[/C][C]12.421[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.787586[/C][C]12.2266[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.76248[/C][C]11.8369[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.735011[/C][C]11.4104[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.730194[/C][C]11.3357[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.750315[/C][C]11.648[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.786475[/C][C]12.2094[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.796296[/C][C]12.3618[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.732411[/C][C]11.3701[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.64514[/C][C]10.0153[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.573942[/C][C]8.91[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.528212[/C][C]8.2001[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.502213[/C][C]7.7964[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.473087[/C][C]7.3443[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.433628[/C][C]6.7317[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.392666[/C][C]6.0958[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.374351[/C][C]5.8115[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.380006[/C][C]5.8993[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.401468[/C][C]6.2325[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.398392[/C][C]6.1847[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.327947[/C][C]5.0911[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.23582[/C][C]3.6609[/C][C]0.000154[/C][/ROW]
[ROW][C]27[/C][C]0.160338[/C][C]2.4891[/C][C]0.006741[/C][/ROW]
[ROW][C]28[/C][C]0.111562[/C][C]1.7319[/C][C]0.042285[/C][/ROW]
[ROW][C]29[/C][C]0.082909[/C][C]1.2871[/C][C]0.099648[/C][/ROW]
[ROW][C]30[/C][C]0.052428[/C][C]0.8139[/C][C]0.208252[/C][/ROW]
[ROW][C]31[/C][C]0.013279[/C][C]0.2061[/C][C]0.418426[/C][/ROW]
[ROW][C]32[/C][C]-0.026926[/C][C]-0.418[/C][C]0.338157[/C][/ROW]
[ROW][C]33[/C][C]-0.045378[/C][C]-0.7045[/C][C]0.240916[/C][/ROW]
[ROW][C]34[/C][C]-0.040553[/C][C]-0.6296[/C][C]0.26479[/C][/ROW]
[ROW][C]35[/C][C]-0.020194[/C][C]-0.3135[/C][C]0.377089[/C][/ROW]
[ROW][C]36[/C][C]-0.021217[/C][C]-0.3294[/C][C]0.371079[/C][/ROW]
[ROW][C]37[/C][C]-0.085329[/C][C]-1.3247[/C][C]0.093268[/C][/ROW]
[ROW][C]38[/C][C]-0.169702[/C][C]-2.6345[/C][C]0.004486[/C][/ROW]
[ROW][C]39[/C][C]-0.237127[/C][C]-3.6812[/C][C]0.000143[/C][/ROW]
[ROW][C]40[/C][C]-0.277029[/C][C]-4.3007[/C][C]1.2e-05[/C][/ROW]
[ROW][C]41[/C][C]-0.296093[/C][C]-4.5966[/C][C]3e-06[/C][/ROW]
[ROW][C]42[/C][C]-0.315175[/C][C]-4.8928[/C][C]1e-06[/C][/ROW]
[ROW][C]43[/C][C]-0.34272[/C][C]-5.3204[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]-0.371022[/C][C]-5.7598[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]-0.377797[/C][C]-5.865[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]-0.362347[/C][C]-5.6251[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]-0.331778[/C][C]-5.1506[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]-0.321005[/C][C]-4.9833[/C][C]1e-06[/C][/ROW]
[ROW][C]49[/C][C]-0.369005[/C][C]-5.7285[/C][C]0[/C][/ROW]
[ROW][C]50[/C][C]-0.43526[/C][C]-6.757[/C][C]0[/C][/ROW]
[ROW][C]51[/C][C]-0.484589[/C][C]-7.5229[/C][C]0[/C][/ROW]
[ROW][C]52[/C][C]-0.507148[/C][C]-7.8731[/C][C]0[/C][/ROW]
[ROW][C]53[/C][C]-0.509244[/C][C]-7.9056[/C][C]0[/C][/ROW]
[ROW][C]54[/C][C]-0.50976[/C][C]-7.9136[/C][C]0[/C][/ROW]
[ROW][C]55[/C][C]-0.518548[/C][C]-8.05[/C][C]0[/C][/ROW]
[ROW][C]56[/C][C]-0.528169[/C][C]-8.1994[/C][C]0[/C][/ROW]
[ROW][C]57[/C][C]-0.517513[/C][C]-8.034[/C][C]0[/C][/ROW]
[ROW][C]58[/C][C]-0.485862[/C][C]-7.5426[/C][C]0[/C][/ROW]
[ROW][C]59[/C][C]-0.43924[/C][C]-6.8188[/C][C]0[/C][/ROW]
[ROW][C]60[/C][C]-0.411942[/C][C]-6.3951[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33300&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
10.95674614.85270
20.88758413.7790
30.83555212.97130
40.80811212.54530
50.80010612.4210
60.78758612.22660
70.7624811.83690
80.73501111.41040
90.73019411.33570
100.75031511.6480
110.78647512.20940
120.79629612.36180
130.73241111.37010
140.6451410.01530
150.5739428.910
160.5282128.20010
170.5022137.79640
180.4730877.34430
190.4336286.73170
200.3926666.09580
210.3743515.81150
220.3800065.89930
230.4014686.23250
240.3983926.18470
250.3279475.09110
260.235823.66090.000154
270.1603382.48910.006741
280.1115621.73190.042285
290.0829091.28710.099648
300.0524280.81390.208252
310.0132790.20610.418426
32-0.026926-0.4180.338157
33-0.045378-0.70450.240916
34-0.040553-0.62960.26479
35-0.020194-0.31350.377089
36-0.021217-0.32940.371079
37-0.085329-1.32470.093268
38-0.169702-2.63450.004486
39-0.237127-3.68120.000143
40-0.277029-4.30071.2e-05
41-0.296093-4.59663e-06
42-0.315175-4.89281e-06
43-0.34272-5.32040
44-0.371022-5.75980
45-0.377797-5.8650
46-0.362347-5.62510
47-0.331778-5.15060
48-0.321005-4.98331e-06
49-0.369005-5.72850
50-0.43526-6.7570
51-0.484589-7.52290
52-0.507148-7.87310
53-0.509244-7.90560
54-0.50976-7.91360
55-0.518548-8.050
56-0.528169-8.19940
57-0.517513-8.0340
58-0.485862-7.54260
59-0.43924-6.81880
60-0.411942-6.39510







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95674614.85270
2-0.328209-5.09520
30.2868034.45246e-06
40.1165541.80940.035817
50.15452.39850.008612
6-0.108711-1.68760.046387
70.0124610.19340.423387
80.0488180.75790.224639
90.2894714.49385e-06
100.1212861.88290.030462
110.2503333.88626.6e-05
12-0.337368-5.23740
13-0.756174-11.7390
14-0.013458-0.20890.417344
15-0.103942-1.61360.053959
160.0293470.45560.324546
170.1029781.59860.055605
180.0944251.46590.071994
190.0987661.53330.063262
20-0.077134-1.19740.116154
21-0.092447-1.43520.076269
22-0.127718-1.98270.024267
23-0.002035-0.03160.487414
240.021810.33860.367612
25-0.16709-2.59390.005035
260.031160.48370.314508
270.0394540.61250.270394
280.0136650.21210.416088
290.0281710.43730.331132
30-0.007805-0.12120.451827
310.0173810.26980.393761
32-0.070123-1.08860.13871
33-0.087189-1.35350.088577
34-0.049885-0.77440.219719
35-0.005696-0.08840.464806
360.1226961.90470.029002
37-0.098329-1.52650.0641
380.0468140.72680.234042
39-0.00341-0.05290.478915
40-0.027715-0.43020.3337
410.0035370.05490.478131
420.0061650.09570.461916
43-0.030103-0.46730.320343
440.0242140.37590.353661
45-0.009881-0.15340.43911
46-0.007183-0.11150.455653
47-0.010176-0.1580.437305
480.0311510.48360.314556
49-0.014032-0.21780.41387
500.0523790.81310.208471
510.0083530.12970.448467
52-0.049235-0.76430.222709
53-0.01853-0.28770.386928
540.0371960.57740.282091
55-0.025213-0.39140.347918
560.0394140.61190.270599
57-0.005911-0.09180.463481
580.046840.72720.233918
590.0261970.40670.342301
60-0.01984-0.3080.379172

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.956746 & 14.8527 & 0 \tabularnewline
2 & -0.328209 & -5.0952 & 0 \tabularnewline
3 & 0.286803 & 4.4524 & 6e-06 \tabularnewline
4 & 0.116554 & 1.8094 & 0.035817 \tabularnewline
5 & 0.1545 & 2.3985 & 0.008612 \tabularnewline
6 & -0.108711 & -1.6876 & 0.046387 \tabularnewline
7 & 0.012461 & 0.1934 & 0.423387 \tabularnewline
8 & 0.048818 & 0.7579 & 0.224639 \tabularnewline
9 & 0.289471 & 4.4938 & 5e-06 \tabularnewline
10 & 0.121286 & 1.8829 & 0.030462 \tabularnewline
11 & 0.250333 & 3.8862 & 6.6e-05 \tabularnewline
12 & -0.337368 & -5.2374 & 0 \tabularnewline
13 & -0.756174 & -11.739 & 0 \tabularnewline
14 & -0.013458 & -0.2089 & 0.417344 \tabularnewline
15 & -0.103942 & -1.6136 & 0.053959 \tabularnewline
16 & 0.029347 & 0.4556 & 0.324546 \tabularnewline
17 & 0.102978 & 1.5986 & 0.055605 \tabularnewline
18 & 0.094425 & 1.4659 & 0.071994 \tabularnewline
19 & 0.098766 & 1.5333 & 0.063262 \tabularnewline
20 & -0.077134 & -1.1974 & 0.116154 \tabularnewline
21 & -0.092447 & -1.4352 & 0.076269 \tabularnewline
22 & -0.127718 & -1.9827 & 0.024267 \tabularnewline
23 & -0.002035 & -0.0316 & 0.487414 \tabularnewline
24 & 0.02181 & 0.3386 & 0.367612 \tabularnewline
25 & -0.16709 & -2.5939 & 0.005035 \tabularnewline
26 & 0.03116 & 0.4837 & 0.314508 \tabularnewline
27 & 0.039454 & 0.6125 & 0.270394 \tabularnewline
28 & 0.013665 & 0.2121 & 0.416088 \tabularnewline
29 & 0.028171 & 0.4373 & 0.331132 \tabularnewline
30 & -0.007805 & -0.1212 & 0.451827 \tabularnewline
31 & 0.017381 & 0.2698 & 0.393761 \tabularnewline
32 & -0.070123 & -1.0886 & 0.13871 \tabularnewline
33 & -0.087189 & -1.3535 & 0.088577 \tabularnewline
34 & -0.049885 & -0.7744 & 0.219719 \tabularnewline
35 & -0.005696 & -0.0884 & 0.464806 \tabularnewline
36 & 0.122696 & 1.9047 & 0.029002 \tabularnewline
37 & -0.098329 & -1.5265 & 0.0641 \tabularnewline
38 & 0.046814 & 0.7268 & 0.234042 \tabularnewline
39 & -0.00341 & -0.0529 & 0.478915 \tabularnewline
40 & -0.027715 & -0.4302 & 0.3337 \tabularnewline
41 & 0.003537 & 0.0549 & 0.478131 \tabularnewline
42 & 0.006165 & 0.0957 & 0.461916 \tabularnewline
43 & -0.030103 & -0.4673 & 0.320343 \tabularnewline
44 & 0.024214 & 0.3759 & 0.353661 \tabularnewline
45 & -0.009881 & -0.1534 & 0.43911 \tabularnewline
46 & -0.007183 & -0.1115 & 0.455653 \tabularnewline
47 & -0.010176 & -0.158 & 0.437305 \tabularnewline
48 & 0.031151 & 0.4836 & 0.314556 \tabularnewline
49 & -0.014032 & -0.2178 & 0.41387 \tabularnewline
50 & 0.052379 & 0.8131 & 0.208471 \tabularnewline
51 & 0.008353 & 0.1297 & 0.448467 \tabularnewline
52 & -0.049235 & -0.7643 & 0.222709 \tabularnewline
53 & -0.01853 & -0.2877 & 0.386928 \tabularnewline
54 & 0.037196 & 0.5774 & 0.282091 \tabularnewline
55 & -0.025213 & -0.3914 & 0.347918 \tabularnewline
56 & 0.039414 & 0.6119 & 0.270599 \tabularnewline
57 & -0.005911 & -0.0918 & 0.463481 \tabularnewline
58 & 0.04684 & 0.7272 & 0.233918 \tabularnewline
59 & 0.026197 & 0.4067 & 0.342301 \tabularnewline
60 & -0.01984 & -0.308 & 0.379172 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33300&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]0.956746[/C][C]14.8527[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.328209[/C][C]-5.0952[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.286803[/C][C]4.4524[/C][C]6e-06[/C][/ROW]
[ROW][C]4[/C][C]0.116554[/C][C]1.8094[/C][C]0.035817[/C][/ROW]
[ROW][C]5[/C][C]0.1545[/C][C]2.3985[/C][C]0.008612[/C][/ROW]
[ROW][C]6[/C][C]-0.108711[/C][C]-1.6876[/C][C]0.046387[/C][/ROW]
[ROW][C]7[/C][C]0.012461[/C][C]0.1934[/C][C]0.423387[/C][/ROW]
[ROW][C]8[/C][C]0.048818[/C][C]0.7579[/C][C]0.224639[/C][/ROW]
[ROW][C]9[/C][C]0.289471[/C][C]4.4938[/C][C]5e-06[/C][/ROW]
[ROW][C]10[/C][C]0.121286[/C][C]1.8829[/C][C]0.030462[/C][/ROW]
[ROW][C]11[/C][C]0.250333[/C][C]3.8862[/C][C]6.6e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.337368[/C][C]-5.2374[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.756174[/C][C]-11.739[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]-0.013458[/C][C]-0.2089[/C][C]0.417344[/C][/ROW]
[ROW][C]15[/C][C]-0.103942[/C][C]-1.6136[/C][C]0.053959[/C][/ROW]
[ROW][C]16[/C][C]0.029347[/C][C]0.4556[/C][C]0.324546[/C][/ROW]
[ROW][C]17[/C][C]0.102978[/C][C]1.5986[/C][C]0.055605[/C][/ROW]
[ROW][C]18[/C][C]0.094425[/C][C]1.4659[/C][C]0.071994[/C][/ROW]
[ROW][C]19[/C][C]0.098766[/C][C]1.5333[/C][C]0.063262[/C][/ROW]
[ROW][C]20[/C][C]-0.077134[/C][C]-1.1974[/C][C]0.116154[/C][/ROW]
[ROW][C]21[/C][C]-0.092447[/C][C]-1.4352[/C][C]0.076269[/C][/ROW]
[ROW][C]22[/C][C]-0.127718[/C][C]-1.9827[/C][C]0.024267[/C][/ROW]
[ROW][C]23[/C][C]-0.002035[/C][C]-0.0316[/C][C]0.487414[/C][/ROW]
[ROW][C]24[/C][C]0.02181[/C][C]0.3386[/C][C]0.367612[/C][/ROW]
[ROW][C]25[/C][C]-0.16709[/C][C]-2.5939[/C][C]0.005035[/C][/ROW]
[ROW][C]26[/C][C]0.03116[/C][C]0.4837[/C][C]0.314508[/C][/ROW]
[ROW][C]27[/C][C]0.039454[/C][C]0.6125[/C][C]0.270394[/C][/ROW]
[ROW][C]28[/C][C]0.013665[/C][C]0.2121[/C][C]0.416088[/C][/ROW]
[ROW][C]29[/C][C]0.028171[/C][C]0.4373[/C][C]0.331132[/C][/ROW]
[ROW][C]30[/C][C]-0.007805[/C][C]-0.1212[/C][C]0.451827[/C][/ROW]
[ROW][C]31[/C][C]0.017381[/C][C]0.2698[/C][C]0.393761[/C][/ROW]
[ROW][C]32[/C][C]-0.070123[/C][C]-1.0886[/C][C]0.13871[/C][/ROW]
[ROW][C]33[/C][C]-0.087189[/C][C]-1.3535[/C][C]0.088577[/C][/ROW]
[ROW][C]34[/C][C]-0.049885[/C][C]-0.7744[/C][C]0.219719[/C][/ROW]
[ROW][C]35[/C][C]-0.005696[/C][C]-0.0884[/C][C]0.464806[/C][/ROW]
[ROW][C]36[/C][C]0.122696[/C][C]1.9047[/C][C]0.029002[/C][/ROW]
[ROW][C]37[/C][C]-0.098329[/C][C]-1.5265[/C][C]0.0641[/C][/ROW]
[ROW][C]38[/C][C]0.046814[/C][C]0.7268[/C][C]0.234042[/C][/ROW]
[ROW][C]39[/C][C]-0.00341[/C][C]-0.0529[/C][C]0.478915[/C][/ROW]
[ROW][C]40[/C][C]-0.027715[/C][C]-0.4302[/C][C]0.3337[/C][/ROW]
[ROW][C]41[/C][C]0.003537[/C][C]0.0549[/C][C]0.478131[/C][/ROW]
[ROW][C]42[/C][C]0.006165[/C][C]0.0957[/C][C]0.461916[/C][/ROW]
[ROW][C]43[/C][C]-0.030103[/C][C]-0.4673[/C][C]0.320343[/C][/ROW]
[ROW][C]44[/C][C]0.024214[/C][C]0.3759[/C][C]0.353661[/C][/ROW]
[ROW][C]45[/C][C]-0.009881[/C][C]-0.1534[/C][C]0.43911[/C][/ROW]
[ROW][C]46[/C][C]-0.007183[/C][C]-0.1115[/C][C]0.455653[/C][/ROW]
[ROW][C]47[/C][C]-0.010176[/C][C]-0.158[/C][C]0.437305[/C][/ROW]
[ROW][C]48[/C][C]0.031151[/C][C]0.4836[/C][C]0.314556[/C][/ROW]
[ROW][C]49[/C][C]-0.014032[/C][C]-0.2178[/C][C]0.41387[/C][/ROW]
[ROW][C]50[/C][C]0.052379[/C][C]0.8131[/C][C]0.208471[/C][/ROW]
[ROW][C]51[/C][C]0.008353[/C][C]0.1297[/C][C]0.448467[/C][/ROW]
[ROW][C]52[/C][C]-0.049235[/C][C]-0.7643[/C][C]0.222709[/C][/ROW]
[ROW][C]53[/C][C]-0.01853[/C][C]-0.2877[/C][C]0.386928[/C][/ROW]
[ROW][C]54[/C][C]0.037196[/C][C]0.5774[/C][C]0.282091[/C][/ROW]
[ROW][C]55[/C][C]-0.025213[/C][C]-0.3914[/C][C]0.347918[/C][/ROW]
[ROW][C]56[/C][C]0.039414[/C][C]0.6119[/C][C]0.270599[/C][/ROW]
[ROW][C]57[/C][C]-0.005911[/C][C]-0.0918[/C][C]0.463481[/C][/ROW]
[ROW][C]58[/C][C]0.04684[/C][C]0.7272[/C][C]0.233918[/C][/ROW]
[ROW][C]59[/C][C]0.026197[/C][C]0.4067[/C][C]0.342301[/C][/ROW]
[ROW][C]60[/C][C]-0.01984[/C][C]-0.308[/C][C]0.379172[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33300&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33300&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
10.95674614.85270
2-0.328209-5.09520
30.2868034.45246e-06
40.1165541.80940.035817
50.15452.39850.008612
6-0.108711-1.68760.046387
70.0124610.19340.423387
80.0488180.75790.224639
90.2894714.49385e-06
100.1212861.88290.030462
110.2503333.88626.6e-05
12-0.337368-5.23740
13-0.756174-11.7390
14-0.013458-0.20890.417344
15-0.103942-1.61360.053959
160.0293470.45560.324546
170.1029781.59860.055605
180.0944251.46590.071994
190.0987661.53330.063262
20-0.077134-1.19740.116154
21-0.092447-1.43520.076269
22-0.127718-1.98270.024267
23-0.002035-0.03160.487414
240.021810.33860.367612
25-0.16709-2.59390.005035
260.031160.48370.314508
270.0394540.61250.270394
280.0136650.21210.416088
290.0281710.43730.331132
30-0.007805-0.12120.451827
310.0173810.26980.393761
32-0.070123-1.08860.13871
33-0.087189-1.35350.088577
34-0.049885-0.77440.219719
35-0.005696-0.08840.464806
360.1226961.90470.029002
37-0.098329-1.52650.0641
380.0468140.72680.234042
39-0.00341-0.05290.478915
40-0.027715-0.43020.3337
410.0035370.05490.478131
420.0061650.09570.461916
43-0.030103-0.46730.320343
440.0242140.37590.353661
45-0.009881-0.15340.43911
46-0.007183-0.11150.455653
47-0.010176-0.1580.437305
480.0311510.48360.314556
49-0.014032-0.21780.41387
500.0523790.81310.208471
510.0083530.12970.448467
52-0.049235-0.76430.222709
53-0.01853-0.28770.386928
540.0371960.57740.282091
55-0.025213-0.39140.347918
560.0394140.61190.270599
57-0.005911-0.09180.463481
580.046840.72720.233918
590.0261970.40670.342301
60-0.01984-0.3080.379172



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 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')