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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 09:17:28 -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/2007/Nov/28/t1196268799l8wqs85rwgoht0k.htm/, Retrieved Thu, 02 May 2024 08:45:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7151, Retrieved Thu, 02 May 2024 08:45:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact193
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [workshop3] [2007-11-28 16:17:28] [9cd804c1ac16035a4cb2da1c6dfdb61e] [Current]
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Dataseries X:
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







Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7151&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7151&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7151&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0110.29560
10.9304529.57960
20.8289838.53490
30.7490797.71220
40.7091327.3010
50.7082077.29140
60.7030047.23790
70.6734746.93380
80.6391856.58080
90.6429246.61930
100.6825737.02750
110.7412017.63110
120.765727.88360
130.6810187.01150
140.5695155.86350
150.4737064.87712e-06
160.4165394.28852e-05
170.3961984.07914.4e-05
180.3747783.85869.8e-05
190.3338123.43680.000421
200.2879012.96410.001875
210.2772742.85470.002591
220.2965183.05280.001433
230.3323653.42190.000442
240.3362723.46210.000387
250.2485572.55910.005954
260.1432841.47520.071561
270.0536090.55190.291078
28-0.001978-0.02040.508105
29-0.024713-0.25440.600175
30-0.048066-0.49490.689142
31-0.086028-0.88570.81111
32-0.12695-1.3070.902985
33-0.134827-1.38810.915996
34-0.115433-1.18850.881344
35-0.077893-0.8020.787815
36-0.070252-0.72330.764451
37-0.140665-1.44820.924749
38-0.221935-2.2850.987847
39-0.28839-2.96920.998153
40-0.324458-3.34050.999422
41-0.334487-3.44380.999589
42-0.344922-3.55120.999713
43-0.368375-3.79270.999876
44-0.393107-4.04730.999951
45-0.386841-3.98280.999937
46-0.358304-3.6890.999821
47-0.31444-3.23740.999195

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 10.2956 & 0 \tabularnewline
1 & 0.930452 & 9.5796 & 0 \tabularnewline
2 & 0.828983 & 8.5349 & 0 \tabularnewline
3 & 0.749079 & 7.7122 & 0 \tabularnewline
4 & 0.709132 & 7.301 & 0 \tabularnewline
5 & 0.708207 & 7.2914 & 0 \tabularnewline
6 & 0.703004 & 7.2379 & 0 \tabularnewline
7 & 0.673474 & 6.9338 & 0 \tabularnewline
8 & 0.639185 & 6.5808 & 0 \tabularnewline
9 & 0.642924 & 6.6193 & 0 \tabularnewline
10 & 0.682573 & 7.0275 & 0 \tabularnewline
11 & 0.741201 & 7.6311 & 0 \tabularnewline
12 & 0.76572 & 7.8836 & 0 \tabularnewline
13 & 0.681018 & 7.0115 & 0 \tabularnewline
14 & 0.569515 & 5.8635 & 0 \tabularnewline
15 & 0.473706 & 4.8771 & 2e-06 \tabularnewline
16 & 0.416539 & 4.2885 & 2e-05 \tabularnewline
17 & 0.396198 & 4.0791 & 4.4e-05 \tabularnewline
18 & 0.374778 & 3.8586 & 9.8e-05 \tabularnewline
19 & 0.333812 & 3.4368 & 0.000421 \tabularnewline
20 & 0.287901 & 2.9641 & 0.001875 \tabularnewline
21 & 0.277274 & 2.8547 & 0.002591 \tabularnewline
22 & 0.296518 & 3.0528 & 0.001433 \tabularnewline
23 & 0.332365 & 3.4219 & 0.000442 \tabularnewline
24 & 0.336272 & 3.4621 & 0.000387 \tabularnewline
25 & 0.248557 & 2.5591 & 0.005954 \tabularnewline
26 & 0.143284 & 1.4752 & 0.071561 \tabularnewline
27 & 0.053609 & 0.5519 & 0.291078 \tabularnewline
28 & -0.001978 & -0.0204 & 0.508105 \tabularnewline
29 & -0.024713 & -0.2544 & 0.600175 \tabularnewline
30 & -0.048066 & -0.4949 & 0.689142 \tabularnewline
31 & -0.086028 & -0.8857 & 0.81111 \tabularnewline
32 & -0.12695 & -1.307 & 0.902985 \tabularnewline
33 & -0.134827 & -1.3881 & 0.915996 \tabularnewline
34 & -0.115433 & -1.1885 & 0.881344 \tabularnewline
35 & -0.077893 & -0.802 & 0.787815 \tabularnewline
36 & -0.070252 & -0.7233 & 0.764451 \tabularnewline
37 & -0.140665 & -1.4482 & 0.924749 \tabularnewline
38 & -0.221935 & -2.285 & 0.987847 \tabularnewline
39 & -0.28839 & -2.9692 & 0.998153 \tabularnewline
40 & -0.324458 & -3.3405 & 0.999422 \tabularnewline
41 & -0.334487 & -3.4438 & 0.999589 \tabularnewline
42 & -0.344922 & -3.5512 & 0.999713 \tabularnewline
43 & -0.368375 & -3.7927 & 0.999876 \tabularnewline
44 & -0.393107 & -4.0473 & 0.999951 \tabularnewline
45 & -0.386841 & -3.9828 & 0.999937 \tabularnewline
46 & -0.358304 & -3.689 & 0.999821 \tabularnewline
47 & -0.31444 & -3.2374 & 0.999195 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7151&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]0[/C][C]1[/C][C]10.2956[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.930452[/C][C]9.5796[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.828983[/C][C]8.5349[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.749079[/C][C]7.7122[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.709132[/C][C]7.301[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.708207[/C][C]7.2914[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.703004[/C][C]7.2379[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.673474[/C][C]6.9338[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.639185[/C][C]6.5808[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.642924[/C][C]6.6193[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.682573[/C][C]7.0275[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.741201[/C][C]7.6311[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.76572[/C][C]7.8836[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.681018[/C][C]7.0115[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.569515[/C][C]5.8635[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.473706[/C][C]4.8771[/C][C]2e-06[/C][/ROW]
[ROW][C]16[/C][C]0.416539[/C][C]4.2885[/C][C]2e-05[/C][/ROW]
[ROW][C]17[/C][C]0.396198[/C][C]4.0791[/C][C]4.4e-05[/C][/ROW]
[ROW][C]18[/C][C]0.374778[/C][C]3.8586[/C][C]9.8e-05[/C][/ROW]
[ROW][C]19[/C][C]0.333812[/C][C]3.4368[/C][C]0.000421[/C][/ROW]
[ROW][C]20[/C][C]0.287901[/C][C]2.9641[/C][C]0.001875[/C][/ROW]
[ROW][C]21[/C][C]0.277274[/C][C]2.8547[/C][C]0.002591[/C][/ROW]
[ROW][C]22[/C][C]0.296518[/C][C]3.0528[/C][C]0.001433[/C][/ROW]
[ROW][C]23[/C][C]0.332365[/C][C]3.4219[/C][C]0.000442[/C][/ROW]
[ROW][C]24[/C][C]0.336272[/C][C]3.4621[/C][C]0.000387[/C][/ROW]
[ROW][C]25[/C][C]0.248557[/C][C]2.5591[/C][C]0.005954[/C][/ROW]
[ROW][C]26[/C][C]0.143284[/C][C]1.4752[/C][C]0.071561[/C][/ROW]
[ROW][C]27[/C][C]0.053609[/C][C]0.5519[/C][C]0.291078[/C][/ROW]
[ROW][C]28[/C][C]-0.001978[/C][C]-0.0204[/C][C]0.508105[/C][/ROW]
[ROW][C]29[/C][C]-0.024713[/C][C]-0.2544[/C][C]0.600175[/C][/ROW]
[ROW][C]30[/C][C]-0.048066[/C][C]-0.4949[/C][C]0.689142[/C][/ROW]
[ROW][C]31[/C][C]-0.086028[/C][C]-0.8857[/C][C]0.81111[/C][/ROW]
[ROW][C]32[/C][C]-0.12695[/C][C]-1.307[/C][C]0.902985[/C][/ROW]
[ROW][C]33[/C][C]-0.134827[/C][C]-1.3881[/C][C]0.915996[/C][/ROW]
[ROW][C]34[/C][C]-0.115433[/C][C]-1.1885[/C][C]0.881344[/C][/ROW]
[ROW][C]35[/C][C]-0.077893[/C][C]-0.802[/C][C]0.787815[/C][/ROW]
[ROW][C]36[/C][C]-0.070252[/C][C]-0.7233[/C][C]0.764451[/C][/ROW]
[ROW][C]37[/C][C]-0.140665[/C][C]-1.4482[/C][C]0.924749[/C][/ROW]
[ROW][C]38[/C][C]-0.221935[/C][C]-2.285[/C][C]0.987847[/C][/ROW]
[ROW][C]39[/C][C]-0.28839[/C][C]-2.9692[/C][C]0.998153[/C][/ROW]
[ROW][C]40[/C][C]-0.324458[/C][C]-3.3405[/C][C]0.999422[/C][/ROW]
[ROW][C]41[/C][C]-0.334487[/C][C]-3.4438[/C][C]0.999589[/C][/ROW]
[ROW][C]42[/C][C]-0.344922[/C][C]-3.5512[/C][C]0.999713[/C][/ROW]
[ROW][C]43[/C][C]-0.368375[/C][C]-3.7927[/C][C]0.999876[/C][/ROW]
[ROW][C]44[/C][C]-0.393107[/C][C]-4.0473[/C][C]0.999951[/C][/ROW]
[ROW][C]45[/C][C]-0.386841[/C][C]-3.9828[/C][C]0.999937[/C][/ROW]
[ROW][C]46[/C][C]-0.358304[/C][C]-3.689[/C][C]0.999821[/C][/ROW]
[ROW][C]47[/C][C]-0.31444[/C][C]-3.2374[/C][C]0.999195[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7151&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7151&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
0110.29560
10.9304529.57960
20.8289838.53490
30.7490797.71220
40.7091327.3010
50.7082077.29140
60.7030047.23790
70.6734746.93380
80.6391856.58080
90.6429246.61930
100.6825737.02750
110.7412017.63110
120.765727.88360
130.6810187.01150
140.5695155.86350
150.4737064.87712e-06
160.4165394.28852e-05
170.3961984.07914.4e-05
180.3747783.85869.8e-05
190.3338123.43680.000421
200.2879012.96410.001875
210.2772742.85470.002591
220.2965183.05280.001433
230.3323653.42190.000442
240.3362723.46210.000387
250.2485572.55910.005954
260.1432841.47520.071561
270.0536090.55190.291078
28-0.001978-0.02040.508105
29-0.024713-0.25440.600175
30-0.048066-0.49490.689142
31-0.086028-0.88570.81111
32-0.12695-1.3070.902985
33-0.134827-1.38810.915996
34-0.115433-1.18850.881344
35-0.077893-0.8020.787815
36-0.070252-0.72330.764451
37-0.140665-1.44820.924749
38-0.221935-2.2850.987847
39-0.28839-2.96920.998153
40-0.324458-3.34050.999422
41-0.334487-3.44380.999589
42-0.344922-3.55120.999713
43-0.368375-3.79270.999876
44-0.393107-4.04730.999951
45-0.386841-3.98280.999937
46-0.358304-3.6890.999821
47-0.31444-3.23740.999195







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9304529.57960
1-0.27378-2.81870.997123
20.171621.76690.040059
30.1827361.88140.031332
40.1987592.04640.021598
5-0.082359-0.84790.800808
6-0.04947-0.50930.69421
70.1017831.04790.148529
80.3211813.30680.000645
90.146361.50690.067409
100.1809561.86310.032612
11-0.116701-1.20150.883884
12-0.688076-7.08421
130.0159260.1640.435032
14-0.161791-1.66570.950641
15-0.067025-0.69010.754169
16-0.058238-0.59960.724971
170.009620.0990.460644
180.0261990.26970.393942
19-0.03768-0.38790.65058
200.009390.09670.461581
21-0.061263-0.63070.735218
22-0.009798-0.10090.540079
23-0.011238-0.11570.545947
24-0.142327-1.46530.927106
250.1049781.08080.141116
260.0062340.06420.474474
27-0.060492-0.62280.732623
28-0.01634-0.16820.566641
29-0.04877-0.50210.691689
300.0213380.21970.413267
31-0.039329-0.40490.656821
320.0018620.01920.492372
330.04620.47570.31765
340.0863240.88880.188071
350.0232270.23910.40573
36-0.038137-0.39260.652316
370.0599480.61720.269213
380.017260.17770.429649
39-0.030738-0.31650.623864
40-0.052371-0.53920.704558
410.0138570.14270.443412
42-0.017051-0.17550.569507
43-0.001461-0.0150.505985
44-0.021106-0.21730.585803
45-0.039978-0.41160.659268
46-0.035222-0.36260.641199
470.0669130.68890.246191

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.930452 & 9.5796 & 0 \tabularnewline
1 & -0.27378 & -2.8187 & 0.997123 \tabularnewline
2 & 0.17162 & 1.7669 & 0.040059 \tabularnewline
3 & 0.182736 & 1.8814 & 0.031332 \tabularnewline
4 & 0.198759 & 2.0464 & 0.021598 \tabularnewline
5 & -0.082359 & -0.8479 & 0.800808 \tabularnewline
6 & -0.04947 & -0.5093 & 0.69421 \tabularnewline
7 & 0.101783 & 1.0479 & 0.148529 \tabularnewline
8 & 0.321181 & 3.3068 & 0.000645 \tabularnewline
9 & 0.14636 & 1.5069 & 0.067409 \tabularnewline
10 & 0.180956 & 1.8631 & 0.032612 \tabularnewline
11 & -0.116701 & -1.2015 & 0.883884 \tabularnewline
12 & -0.688076 & -7.0842 & 1 \tabularnewline
13 & 0.015926 & 0.164 & 0.435032 \tabularnewline
14 & -0.161791 & -1.6657 & 0.950641 \tabularnewline
15 & -0.067025 & -0.6901 & 0.754169 \tabularnewline
16 & -0.058238 & -0.5996 & 0.724971 \tabularnewline
17 & 0.00962 & 0.099 & 0.460644 \tabularnewline
18 & 0.026199 & 0.2697 & 0.393942 \tabularnewline
19 & -0.03768 & -0.3879 & 0.65058 \tabularnewline
20 & 0.00939 & 0.0967 & 0.461581 \tabularnewline
21 & -0.061263 & -0.6307 & 0.735218 \tabularnewline
22 & -0.009798 & -0.1009 & 0.540079 \tabularnewline
23 & -0.011238 & -0.1157 & 0.545947 \tabularnewline
24 & -0.142327 & -1.4653 & 0.927106 \tabularnewline
25 & 0.104978 & 1.0808 & 0.141116 \tabularnewline
26 & 0.006234 & 0.0642 & 0.474474 \tabularnewline
27 & -0.060492 & -0.6228 & 0.732623 \tabularnewline
28 & -0.01634 & -0.1682 & 0.566641 \tabularnewline
29 & -0.04877 & -0.5021 & 0.691689 \tabularnewline
30 & 0.021338 & 0.2197 & 0.413267 \tabularnewline
31 & -0.039329 & -0.4049 & 0.656821 \tabularnewline
32 & 0.001862 & 0.0192 & 0.492372 \tabularnewline
33 & 0.0462 & 0.4757 & 0.31765 \tabularnewline
34 & 0.086324 & 0.8888 & 0.188071 \tabularnewline
35 & 0.023227 & 0.2391 & 0.40573 \tabularnewline
36 & -0.038137 & -0.3926 & 0.652316 \tabularnewline
37 & 0.059948 & 0.6172 & 0.269213 \tabularnewline
38 & 0.01726 & 0.1777 & 0.429649 \tabularnewline
39 & -0.030738 & -0.3165 & 0.623864 \tabularnewline
40 & -0.052371 & -0.5392 & 0.704558 \tabularnewline
41 & 0.013857 & 0.1427 & 0.443412 \tabularnewline
42 & -0.017051 & -0.1755 & 0.569507 \tabularnewline
43 & -0.001461 & -0.015 & 0.505985 \tabularnewline
44 & -0.021106 & -0.2173 & 0.585803 \tabularnewline
45 & -0.039978 & -0.4116 & 0.659268 \tabularnewline
46 & -0.035222 & -0.3626 & 0.641199 \tabularnewline
47 & 0.066913 & 0.6889 & 0.246191 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7151&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]0[/C][C]0.930452[/C][C]9.5796[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.27378[/C][C]-2.8187[/C][C]0.997123[/C][/ROW]
[ROW][C]2[/C][C]0.17162[/C][C]1.7669[/C][C]0.040059[/C][/ROW]
[ROW][C]3[/C][C]0.182736[/C][C]1.8814[/C][C]0.031332[/C][/ROW]
[ROW][C]4[/C][C]0.198759[/C][C]2.0464[/C][C]0.021598[/C][/ROW]
[ROW][C]5[/C][C]-0.082359[/C][C]-0.8479[/C][C]0.800808[/C][/ROW]
[ROW][C]6[/C][C]-0.04947[/C][C]-0.5093[/C][C]0.69421[/C][/ROW]
[ROW][C]7[/C][C]0.101783[/C][C]1.0479[/C][C]0.148529[/C][/ROW]
[ROW][C]8[/C][C]0.321181[/C][C]3.3068[/C][C]0.000645[/C][/ROW]
[ROW][C]9[/C][C]0.14636[/C][C]1.5069[/C][C]0.067409[/C][/ROW]
[ROW][C]10[/C][C]0.180956[/C][C]1.8631[/C][C]0.032612[/C][/ROW]
[ROW][C]11[/C][C]-0.116701[/C][C]-1.2015[/C][C]0.883884[/C][/ROW]
[ROW][C]12[/C][C]-0.688076[/C][C]-7.0842[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]0.015926[/C][C]0.164[/C][C]0.435032[/C][/ROW]
[ROW][C]14[/C][C]-0.161791[/C][C]-1.6657[/C][C]0.950641[/C][/ROW]
[ROW][C]15[/C][C]-0.067025[/C][C]-0.6901[/C][C]0.754169[/C][/ROW]
[ROW][C]16[/C][C]-0.058238[/C][C]-0.5996[/C][C]0.724971[/C][/ROW]
[ROW][C]17[/C][C]0.00962[/C][C]0.099[/C][C]0.460644[/C][/ROW]
[ROW][C]18[/C][C]0.026199[/C][C]0.2697[/C][C]0.393942[/C][/ROW]
[ROW][C]19[/C][C]-0.03768[/C][C]-0.3879[/C][C]0.65058[/C][/ROW]
[ROW][C]20[/C][C]0.00939[/C][C]0.0967[/C][C]0.461581[/C][/ROW]
[ROW][C]21[/C][C]-0.061263[/C][C]-0.6307[/C][C]0.735218[/C][/ROW]
[ROW][C]22[/C][C]-0.009798[/C][C]-0.1009[/C][C]0.540079[/C][/ROW]
[ROW][C]23[/C][C]-0.011238[/C][C]-0.1157[/C][C]0.545947[/C][/ROW]
[ROW][C]24[/C][C]-0.142327[/C][C]-1.4653[/C][C]0.927106[/C][/ROW]
[ROW][C]25[/C][C]0.104978[/C][C]1.0808[/C][C]0.141116[/C][/ROW]
[ROW][C]26[/C][C]0.006234[/C][C]0.0642[/C][C]0.474474[/C][/ROW]
[ROW][C]27[/C][C]-0.060492[/C][C]-0.6228[/C][C]0.732623[/C][/ROW]
[ROW][C]28[/C][C]-0.01634[/C][C]-0.1682[/C][C]0.566641[/C][/ROW]
[ROW][C]29[/C][C]-0.04877[/C][C]-0.5021[/C][C]0.691689[/C][/ROW]
[ROW][C]30[/C][C]0.021338[/C][C]0.2197[/C][C]0.413267[/C][/ROW]
[ROW][C]31[/C][C]-0.039329[/C][C]-0.4049[/C][C]0.656821[/C][/ROW]
[ROW][C]32[/C][C]0.001862[/C][C]0.0192[/C][C]0.492372[/C][/ROW]
[ROW][C]33[/C][C]0.0462[/C][C]0.4757[/C][C]0.31765[/C][/ROW]
[ROW][C]34[/C][C]0.086324[/C][C]0.8888[/C][C]0.188071[/C][/ROW]
[ROW][C]35[/C][C]0.023227[/C][C]0.2391[/C][C]0.40573[/C][/ROW]
[ROW][C]36[/C][C]-0.038137[/C][C]-0.3926[/C][C]0.652316[/C][/ROW]
[ROW][C]37[/C][C]0.059948[/C][C]0.6172[/C][C]0.269213[/C][/ROW]
[ROW][C]38[/C][C]0.01726[/C][C]0.1777[/C][C]0.429649[/C][/ROW]
[ROW][C]39[/C][C]-0.030738[/C][C]-0.3165[/C][C]0.623864[/C][/ROW]
[ROW][C]40[/C][C]-0.052371[/C][C]-0.5392[/C][C]0.704558[/C][/ROW]
[ROW][C]41[/C][C]0.013857[/C][C]0.1427[/C][C]0.443412[/C][/ROW]
[ROW][C]42[/C][C]-0.017051[/C][C]-0.1755[/C][C]0.569507[/C][/ROW]
[ROW][C]43[/C][C]-0.001461[/C][C]-0.015[/C][C]0.505985[/C][/ROW]
[ROW][C]44[/C][C]-0.021106[/C][C]-0.2173[/C][C]0.585803[/C][/ROW]
[ROW][C]45[/C][C]-0.039978[/C][C]-0.4116[/C][C]0.659268[/C][/ROW]
[ROW][C]46[/C][C]-0.035222[/C][C]-0.3626[/C][C]0.641199[/C][/ROW]
[ROW][C]47[/C][C]0.066913[/C][C]0.6889[/C][C]0.246191[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7151&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7151&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
00.9304529.57960
1-0.27378-2.81870.997123
20.171621.76690.040059
30.1827361.88140.031332
40.1987592.04640.021598
5-0.082359-0.84790.800808
6-0.04947-0.50930.69421
70.1017831.04790.148529
80.3211813.30680.000645
90.146361.50690.067409
100.1809561.86310.032612
11-0.116701-1.20150.883884
12-0.688076-7.08421
130.0159260.1640.435032
14-0.161791-1.66570.950641
15-0.067025-0.69010.754169
16-0.058238-0.59960.724971
170.009620.0990.460644
180.0261990.26970.393942
19-0.03768-0.38790.65058
200.009390.09670.461581
21-0.061263-0.63070.735218
22-0.009798-0.10090.540079
23-0.011238-0.11570.545947
24-0.142327-1.46530.927106
250.1049781.08080.141116
260.0062340.06420.474474
27-0.060492-0.62280.732623
28-0.01634-0.16820.566641
29-0.04877-0.50210.691689
300.0213380.21970.413267
31-0.039329-0.40490.656821
320.0018620.01920.492372
330.04620.47570.31765
340.0863240.88880.188071
350.0232270.23910.40573
36-0.038137-0.39260.652316
370.0599480.61720.269213
380.017260.17770.429649
39-0.030738-0.31650.623864
40-0.052371-0.53920.704558
410.0138570.14270.443412
42-0.017051-0.17550.569507
43-0.001461-0.0150.505985
44-0.021106-0.21730.585803
45-0.039978-0.41160.659268
46-0.035222-0.36260.641199
470.0669130.68890.246191



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')