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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 08:49:50 -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/Dec/14/t1197646521mouh1z7ds3iv97h.htm/, Retrieved Thu, 02 May 2024 17:40:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3930, Retrieved Thu, 02 May 2024 17:40:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsChristel Stuer Steven Coomans Nele Rombaut Gregory De Meulenaer Gudrun Verhelst Mathias Bruneel
Estimated Impact204
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper: ACF (d = 1...] [2007-12-14 15:49:50] [7071e8240f1069aec69cdda95d3fa1f8] [Current]
-    D    [(Partial) Autocorrelation Function] [Autocorrelatie 1 ...] [2008-12-21 13:06:41] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
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




Summary of compuational 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 compuational 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=3930&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]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=3930&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3930&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
019.53940
10.2946842.81110.003023
2-0.180146-1.71850.955446
3-0.325412-3.10420.998729
4-0.311986-2.97620.998131
50.0234170.22340.41187
60.1564131.49210.069568
70.0338040.32250.373918
8-0.276872-2.64120.995138
9-0.270526-2.58070.994269
10-0.180112-1.71820.955416
110.2636462.5150.006829
120.8270357.88940
130.2440022.32760.011075
14-0.129818-1.23840.89062
15-0.28675-2.73540.996255
16-0.296054-2.82420.997088
170.0008410.0080.496806
180.1332531.27120.103457
190.0243290.23210.408496
20-0.240611-2.29530.987992
21-0.234943-2.24120.986278
22-0.161793-1.54340.936899
230.2500752.38560.009563
240.6793026.48010
250.1729411.64970.051221
26-0.101166-0.96510.831465
27-0.235893-2.25030.986579
28-0.261062-2.49040.992712
290.0043010.0410.483683
300.1033680.98610.163357
310.0149180.14230.443574
32-0.20656-1.97050.974087
33-0.223292-2.13010.982068
34-0.137461-1.31130.903472
350.2239272.13610.017677
360.5526635.27210
370.1044810.99670.160779
38-0.092884-0.88610.811038
39-0.188137-1.79470.96199
40-0.188658-1.79970.962388
410.0018760.01790.492879
420.0780490.74450.229233
430.0007670.00730.49709
44-0.175886-1.67780.951596
45-0.178138-1.69930.953663
46-0.10874-1.03730.848831
470.2006331.91390.029387
480.4369164.16793.5e-05
490.0865960.82610.205462
50-0.065879-0.62840.734358
51-0.164714-1.57130.940205
52-0.142652-1.36080.911533
53-0.00827-0.07890.531353
540.0534040.50940.305839
550.0084960.08110.46779
56-0.1314-1.25350.893378
57-0.138828-1.32430.905646
58-0.082551-0.78750.783477
590.158411.51110.067109

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.5394 & 0 \tabularnewline
1 & 0.294684 & 2.8111 & 0.003023 \tabularnewline
2 & -0.180146 & -1.7185 & 0.955446 \tabularnewline
3 & -0.325412 & -3.1042 & 0.998729 \tabularnewline
4 & -0.311986 & -2.9762 & 0.998131 \tabularnewline
5 & 0.023417 & 0.2234 & 0.41187 \tabularnewline
6 & 0.156413 & 1.4921 & 0.069568 \tabularnewline
7 & 0.033804 & 0.3225 & 0.373918 \tabularnewline
8 & -0.276872 & -2.6412 & 0.995138 \tabularnewline
9 & -0.270526 & -2.5807 & 0.994269 \tabularnewline
10 & -0.180112 & -1.7182 & 0.955416 \tabularnewline
11 & 0.263646 & 2.515 & 0.006829 \tabularnewline
12 & 0.827035 & 7.8894 & 0 \tabularnewline
13 & 0.244002 & 2.3276 & 0.011075 \tabularnewline
14 & -0.129818 & -1.2384 & 0.89062 \tabularnewline
15 & -0.28675 & -2.7354 & 0.996255 \tabularnewline
16 & -0.296054 & -2.8242 & 0.997088 \tabularnewline
17 & 0.000841 & 0.008 & 0.496806 \tabularnewline
18 & 0.133253 & 1.2712 & 0.103457 \tabularnewline
19 & 0.024329 & 0.2321 & 0.408496 \tabularnewline
20 & -0.240611 & -2.2953 & 0.987992 \tabularnewline
21 & -0.234943 & -2.2412 & 0.986278 \tabularnewline
22 & -0.161793 & -1.5434 & 0.936899 \tabularnewline
23 & 0.250075 & 2.3856 & 0.009563 \tabularnewline
24 & 0.679302 & 6.4801 & 0 \tabularnewline
25 & 0.172941 & 1.6497 & 0.051221 \tabularnewline
26 & -0.101166 & -0.9651 & 0.831465 \tabularnewline
27 & -0.235893 & -2.2503 & 0.986579 \tabularnewline
28 & -0.261062 & -2.4904 & 0.992712 \tabularnewline
29 & 0.004301 & 0.041 & 0.483683 \tabularnewline
30 & 0.103368 & 0.9861 & 0.163357 \tabularnewline
31 & 0.014918 & 0.1423 & 0.443574 \tabularnewline
32 & -0.20656 & -1.9705 & 0.974087 \tabularnewline
33 & -0.223292 & -2.1301 & 0.982068 \tabularnewline
34 & -0.137461 & -1.3113 & 0.903472 \tabularnewline
35 & 0.223927 & 2.1361 & 0.017677 \tabularnewline
36 & 0.552663 & 5.2721 & 0 \tabularnewline
37 & 0.104481 & 0.9967 & 0.160779 \tabularnewline
38 & -0.092884 & -0.8861 & 0.811038 \tabularnewline
39 & -0.188137 & -1.7947 & 0.96199 \tabularnewline
40 & -0.188658 & -1.7997 & 0.962388 \tabularnewline
41 & 0.001876 & 0.0179 & 0.492879 \tabularnewline
42 & 0.078049 & 0.7445 & 0.229233 \tabularnewline
43 & 0.000767 & 0.0073 & 0.49709 \tabularnewline
44 & -0.175886 & -1.6778 & 0.951596 \tabularnewline
45 & -0.178138 & -1.6993 & 0.953663 \tabularnewline
46 & -0.10874 & -1.0373 & 0.848831 \tabularnewline
47 & 0.200633 & 1.9139 & 0.029387 \tabularnewline
48 & 0.436916 & 4.1679 & 3.5e-05 \tabularnewline
49 & 0.086596 & 0.8261 & 0.205462 \tabularnewline
50 & -0.065879 & -0.6284 & 0.734358 \tabularnewline
51 & -0.164714 & -1.5713 & 0.940205 \tabularnewline
52 & -0.142652 & -1.3608 & 0.911533 \tabularnewline
53 & -0.00827 & -0.0789 & 0.531353 \tabularnewline
54 & 0.053404 & 0.5094 & 0.305839 \tabularnewline
55 & 0.008496 & 0.0811 & 0.46779 \tabularnewline
56 & -0.1314 & -1.2535 & 0.893378 \tabularnewline
57 & -0.138828 & -1.3243 & 0.905646 \tabularnewline
58 & -0.082551 & -0.7875 & 0.783477 \tabularnewline
59 & 0.15841 & 1.5111 & 0.067109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3930&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]9.5394[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.294684[/C][C]2.8111[/C][C]0.003023[/C][/ROW]
[ROW][C]2[/C][C]-0.180146[/C][C]-1.7185[/C][C]0.955446[/C][/ROW]
[ROW][C]3[/C][C]-0.325412[/C][C]-3.1042[/C][C]0.998729[/C][/ROW]
[ROW][C]4[/C][C]-0.311986[/C][C]-2.9762[/C][C]0.998131[/C][/ROW]
[ROW][C]5[/C][C]0.023417[/C][C]0.2234[/C][C]0.41187[/C][/ROW]
[ROW][C]6[/C][C]0.156413[/C][C]1.4921[/C][C]0.069568[/C][/ROW]
[ROW][C]7[/C][C]0.033804[/C][C]0.3225[/C][C]0.373918[/C][/ROW]
[ROW][C]8[/C][C]-0.276872[/C][C]-2.6412[/C][C]0.995138[/C][/ROW]
[ROW][C]9[/C][C]-0.270526[/C][C]-2.5807[/C][C]0.994269[/C][/ROW]
[ROW][C]10[/C][C]-0.180112[/C][C]-1.7182[/C][C]0.955416[/C][/ROW]
[ROW][C]11[/C][C]0.263646[/C][C]2.515[/C][C]0.006829[/C][/ROW]
[ROW][C]12[/C][C]0.827035[/C][C]7.8894[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.244002[/C][C]2.3276[/C][C]0.011075[/C][/ROW]
[ROW][C]14[/C][C]-0.129818[/C][C]-1.2384[/C][C]0.89062[/C][/ROW]
[ROW][C]15[/C][C]-0.28675[/C][C]-2.7354[/C][C]0.996255[/C][/ROW]
[ROW][C]16[/C][C]-0.296054[/C][C]-2.8242[/C][C]0.997088[/C][/ROW]
[ROW][C]17[/C][C]0.000841[/C][C]0.008[/C][C]0.496806[/C][/ROW]
[ROW][C]18[/C][C]0.133253[/C][C]1.2712[/C][C]0.103457[/C][/ROW]
[ROW][C]19[/C][C]0.024329[/C][C]0.2321[/C][C]0.408496[/C][/ROW]
[ROW][C]20[/C][C]-0.240611[/C][C]-2.2953[/C][C]0.987992[/C][/ROW]
[ROW][C]21[/C][C]-0.234943[/C][C]-2.2412[/C][C]0.986278[/C][/ROW]
[ROW][C]22[/C][C]-0.161793[/C][C]-1.5434[/C][C]0.936899[/C][/ROW]
[ROW][C]23[/C][C]0.250075[/C][C]2.3856[/C][C]0.009563[/C][/ROW]
[ROW][C]24[/C][C]0.679302[/C][C]6.4801[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.172941[/C][C]1.6497[/C][C]0.051221[/C][/ROW]
[ROW][C]26[/C][C]-0.101166[/C][C]-0.9651[/C][C]0.831465[/C][/ROW]
[ROW][C]27[/C][C]-0.235893[/C][C]-2.2503[/C][C]0.986579[/C][/ROW]
[ROW][C]28[/C][C]-0.261062[/C][C]-2.4904[/C][C]0.992712[/C][/ROW]
[ROW][C]29[/C][C]0.004301[/C][C]0.041[/C][C]0.483683[/C][/ROW]
[ROW][C]30[/C][C]0.103368[/C][C]0.9861[/C][C]0.163357[/C][/ROW]
[ROW][C]31[/C][C]0.014918[/C][C]0.1423[/C][C]0.443574[/C][/ROW]
[ROW][C]32[/C][C]-0.20656[/C][C]-1.9705[/C][C]0.974087[/C][/ROW]
[ROW][C]33[/C][C]-0.223292[/C][C]-2.1301[/C][C]0.982068[/C][/ROW]
[ROW][C]34[/C][C]-0.137461[/C][C]-1.3113[/C][C]0.903472[/C][/ROW]
[ROW][C]35[/C][C]0.223927[/C][C]2.1361[/C][C]0.017677[/C][/ROW]
[ROW][C]36[/C][C]0.552663[/C][C]5.2721[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.104481[/C][C]0.9967[/C][C]0.160779[/C][/ROW]
[ROW][C]38[/C][C]-0.092884[/C][C]-0.8861[/C][C]0.811038[/C][/ROW]
[ROW][C]39[/C][C]-0.188137[/C][C]-1.7947[/C][C]0.96199[/C][/ROW]
[ROW][C]40[/C][C]-0.188658[/C][C]-1.7997[/C][C]0.962388[/C][/ROW]
[ROW][C]41[/C][C]0.001876[/C][C]0.0179[/C][C]0.492879[/C][/ROW]
[ROW][C]42[/C][C]0.078049[/C][C]0.7445[/C][C]0.229233[/C][/ROW]
[ROW][C]43[/C][C]0.000767[/C][C]0.0073[/C][C]0.49709[/C][/ROW]
[ROW][C]44[/C][C]-0.175886[/C][C]-1.6778[/C][C]0.951596[/C][/ROW]
[ROW][C]45[/C][C]-0.178138[/C][C]-1.6993[/C][C]0.953663[/C][/ROW]
[ROW][C]46[/C][C]-0.10874[/C][C]-1.0373[/C][C]0.848831[/C][/ROW]
[ROW][C]47[/C][C]0.200633[/C][C]1.9139[/C][C]0.029387[/C][/ROW]
[ROW][C]48[/C][C]0.436916[/C][C]4.1679[/C][C]3.5e-05[/C][/ROW]
[ROW][C]49[/C][C]0.086596[/C][C]0.8261[/C][C]0.205462[/C][/ROW]
[ROW][C]50[/C][C]-0.065879[/C][C]-0.6284[/C][C]0.734358[/C][/ROW]
[ROW][C]51[/C][C]-0.164714[/C][C]-1.5713[/C][C]0.940205[/C][/ROW]
[ROW][C]52[/C][C]-0.142652[/C][C]-1.3608[/C][C]0.911533[/C][/ROW]
[ROW][C]53[/C][C]-0.00827[/C][C]-0.0789[/C][C]0.531353[/C][/ROW]
[ROW][C]54[/C][C]0.053404[/C][C]0.5094[/C][C]0.305839[/C][/ROW]
[ROW][C]55[/C][C]0.008496[/C][C]0.0811[/C][C]0.46779[/C][/ROW]
[ROW][C]56[/C][C]-0.1314[/C][C]-1.2535[/C][C]0.893378[/C][/ROW]
[ROW][C]57[/C][C]-0.138828[/C][C]-1.3243[/C][C]0.905646[/C][/ROW]
[ROW][C]58[/C][C]-0.082551[/C][C]-0.7875[/C][C]0.783477[/C][/ROW]
[ROW][C]59[/C][C]0.15841[/C][C]1.5111[/C][C]0.067109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3930&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3930&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
019.53940
10.2946842.81110.003023
2-0.180146-1.71850.955446
3-0.325412-3.10420.998729
4-0.311986-2.97620.998131
50.0234170.22340.41187
60.1564131.49210.069568
70.0338040.32250.373918
8-0.276872-2.64120.995138
9-0.270526-2.58070.994269
10-0.180112-1.71820.955416
110.2636462.5150.006829
120.8270357.88940
130.2440022.32760.011075
14-0.129818-1.23840.89062
15-0.28675-2.73540.996255
16-0.296054-2.82420.997088
170.0008410.0080.496806
180.1332531.27120.103457
190.0243290.23210.408496
20-0.240611-2.29530.987992
21-0.234943-2.24120.986278
22-0.161793-1.54340.936899
230.2500752.38560.009563
240.6793026.48010
250.1729411.64970.051221
26-0.101166-0.96510.831465
27-0.235893-2.25030.986579
28-0.261062-2.49040.992712
290.0043010.0410.483683
300.1033680.98610.163357
310.0149180.14230.443574
32-0.20656-1.97050.974087
33-0.223292-2.13010.982068
34-0.137461-1.31130.903472
350.2239272.13610.017677
360.5526635.27210
370.1044810.99670.160779
38-0.092884-0.88610.811038
39-0.188137-1.79470.96199
40-0.188658-1.79970.962388
410.0018760.01790.492879
420.0780490.74450.229233
430.0007670.00730.49709
44-0.175886-1.67780.951596
45-0.178138-1.69930.953663
46-0.10874-1.03730.848831
470.2006331.91390.029387
480.4369164.16793.5e-05
490.0865960.82610.205462
50-0.065879-0.62840.734358
51-0.164714-1.57130.940205
52-0.142652-1.36080.911533
53-0.00827-0.07890.531353
540.0534040.50940.305839
550.0084960.08110.46779
56-0.1314-1.25350.893378
57-0.138828-1.32430.905646
58-0.082551-0.78750.783477
590.158411.51110.067109







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2946842.81110.003023
1-0.292374-2.78910.996781
2-0.204342-1.94930.97283
3-0.232347-2.21640.985423
40.0896130.85490.197439
5-0.048649-0.46410.67815
6-0.128065-1.22170.887504
7-0.371458-3.54350.999687
8-0.140334-1.33870.907999
9-0.335097-3.19660.999044
100.1653911.57770.059049
110.687766.56080
12-0.205861-1.96380.973697
130.1726361.64680.05152
140.1262861.20470.115723
150.0104490.09970.460409
16-0.018373-0.17530.56937
17-0.001379-0.01320.505235
18-0.02915-0.27810.609207
19-0.020163-0.19230.57605
20-0.067404-0.6430.739078
210.040640.38770.349579
22-0.000899-0.00860.50341
23-0.055851-0.53280.702258
24-0.096347-0.91910.819762
250.0169720.16190.435872
260.01460.13930.444771
27-0.039335-0.37520.64582
280.0329210.3140.377103
29-0.041202-0.3930.652395
300.0333280.31790.375634
31-0.01632-0.15570.561688
32-0.090855-0.86670.805807
330.0547970.52270.301216
34-0.095443-0.91050.817511
35-0.039882-0.38040.64775
36-0.086988-0.82980.795592
37-0.067484-0.64380.739325
380.0081130.07740.469239
390.0554550.5290.299044
40-0.156116-1.48920.93006
410.0726870.69340.244917
42-0.048936-0.46680.679129
430.0171790.16390.435097
440.0506890.48350.314937
45-0.022229-0.21210.58373
460.0106950.1020.45948
47-0.004714-0.0450.517885
480.1124841.0730.143048
490.0048670.04640.481537
50-0.059911-0.57150.715469
510.0300680.28680.387448
52-0.049334-0.47060.680481
53-0.04461-0.42560.664282
540.0520830.49680.31025
550.0115310.110.456328
56-0.007718-0.07360.529265
57-0.008805-0.0840.533376
58-0.036192-0.34530.63465
59-0.11785-1.12420.868062

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.294684 & 2.8111 & 0.003023 \tabularnewline
1 & -0.292374 & -2.7891 & 0.996781 \tabularnewline
2 & -0.204342 & -1.9493 & 0.97283 \tabularnewline
3 & -0.232347 & -2.2164 & 0.985423 \tabularnewline
4 & 0.089613 & 0.8549 & 0.197439 \tabularnewline
5 & -0.048649 & -0.4641 & 0.67815 \tabularnewline
6 & -0.128065 & -1.2217 & 0.887504 \tabularnewline
7 & -0.371458 & -3.5435 & 0.999687 \tabularnewline
8 & -0.140334 & -1.3387 & 0.907999 \tabularnewline
9 & -0.335097 & -3.1966 & 0.999044 \tabularnewline
10 & 0.165391 & 1.5777 & 0.059049 \tabularnewline
11 & 0.68776 & 6.5608 & 0 \tabularnewline
12 & -0.205861 & -1.9638 & 0.973697 \tabularnewline
13 & 0.172636 & 1.6468 & 0.05152 \tabularnewline
14 & 0.126286 & 1.2047 & 0.115723 \tabularnewline
15 & 0.010449 & 0.0997 & 0.460409 \tabularnewline
16 & -0.018373 & -0.1753 & 0.56937 \tabularnewline
17 & -0.001379 & -0.0132 & 0.505235 \tabularnewline
18 & -0.02915 & -0.2781 & 0.609207 \tabularnewline
19 & -0.020163 & -0.1923 & 0.57605 \tabularnewline
20 & -0.067404 & -0.643 & 0.739078 \tabularnewline
21 & 0.04064 & 0.3877 & 0.349579 \tabularnewline
22 & -0.000899 & -0.0086 & 0.50341 \tabularnewline
23 & -0.055851 & -0.5328 & 0.702258 \tabularnewline
24 & -0.096347 & -0.9191 & 0.819762 \tabularnewline
25 & 0.016972 & 0.1619 & 0.435872 \tabularnewline
26 & 0.0146 & 0.1393 & 0.444771 \tabularnewline
27 & -0.039335 & -0.3752 & 0.64582 \tabularnewline
28 & 0.032921 & 0.314 & 0.377103 \tabularnewline
29 & -0.041202 & -0.393 & 0.652395 \tabularnewline
30 & 0.033328 & 0.3179 & 0.375634 \tabularnewline
31 & -0.01632 & -0.1557 & 0.561688 \tabularnewline
32 & -0.090855 & -0.8667 & 0.805807 \tabularnewline
33 & 0.054797 & 0.5227 & 0.301216 \tabularnewline
34 & -0.095443 & -0.9105 & 0.817511 \tabularnewline
35 & -0.039882 & -0.3804 & 0.64775 \tabularnewline
36 & -0.086988 & -0.8298 & 0.795592 \tabularnewline
37 & -0.067484 & -0.6438 & 0.739325 \tabularnewline
38 & 0.008113 & 0.0774 & 0.469239 \tabularnewline
39 & 0.055455 & 0.529 & 0.299044 \tabularnewline
40 & -0.156116 & -1.4892 & 0.93006 \tabularnewline
41 & 0.072687 & 0.6934 & 0.244917 \tabularnewline
42 & -0.048936 & -0.4668 & 0.679129 \tabularnewline
43 & 0.017179 & 0.1639 & 0.435097 \tabularnewline
44 & 0.050689 & 0.4835 & 0.314937 \tabularnewline
45 & -0.022229 & -0.2121 & 0.58373 \tabularnewline
46 & 0.010695 & 0.102 & 0.45948 \tabularnewline
47 & -0.004714 & -0.045 & 0.517885 \tabularnewline
48 & 0.112484 & 1.073 & 0.143048 \tabularnewline
49 & 0.004867 & 0.0464 & 0.481537 \tabularnewline
50 & -0.059911 & -0.5715 & 0.715469 \tabularnewline
51 & 0.030068 & 0.2868 & 0.387448 \tabularnewline
52 & -0.049334 & -0.4706 & 0.680481 \tabularnewline
53 & -0.04461 & -0.4256 & 0.664282 \tabularnewline
54 & 0.052083 & 0.4968 & 0.31025 \tabularnewline
55 & 0.011531 & 0.11 & 0.456328 \tabularnewline
56 & -0.007718 & -0.0736 & 0.529265 \tabularnewline
57 & -0.008805 & -0.084 & 0.533376 \tabularnewline
58 & -0.036192 & -0.3453 & 0.63465 \tabularnewline
59 & -0.11785 & -1.1242 & 0.868062 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3930&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]0.294684[/C][C]2.8111[/C][C]0.003023[/C][/ROW]
[ROW][C]1[/C][C]-0.292374[/C][C]-2.7891[/C][C]0.996781[/C][/ROW]
[ROW][C]2[/C][C]-0.204342[/C][C]-1.9493[/C][C]0.97283[/C][/ROW]
[ROW][C]3[/C][C]-0.232347[/C][C]-2.2164[/C][C]0.985423[/C][/ROW]
[ROW][C]4[/C][C]0.089613[/C][C]0.8549[/C][C]0.197439[/C][/ROW]
[ROW][C]5[/C][C]-0.048649[/C][C]-0.4641[/C][C]0.67815[/C][/ROW]
[ROW][C]6[/C][C]-0.128065[/C][C]-1.2217[/C][C]0.887504[/C][/ROW]
[ROW][C]7[/C][C]-0.371458[/C][C]-3.5435[/C][C]0.999687[/C][/ROW]
[ROW][C]8[/C][C]-0.140334[/C][C]-1.3387[/C][C]0.907999[/C][/ROW]
[ROW][C]9[/C][C]-0.335097[/C][C]-3.1966[/C][C]0.999044[/C][/ROW]
[ROW][C]10[/C][C]0.165391[/C][C]1.5777[/C][C]0.059049[/C][/ROW]
[ROW][C]11[/C][C]0.68776[/C][C]6.5608[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]-0.205861[/C][C]-1.9638[/C][C]0.973697[/C][/ROW]
[ROW][C]13[/C][C]0.172636[/C][C]1.6468[/C][C]0.05152[/C][/ROW]
[ROW][C]14[/C][C]0.126286[/C][C]1.2047[/C][C]0.115723[/C][/ROW]
[ROW][C]15[/C][C]0.010449[/C][C]0.0997[/C][C]0.460409[/C][/ROW]
[ROW][C]16[/C][C]-0.018373[/C][C]-0.1753[/C][C]0.56937[/C][/ROW]
[ROW][C]17[/C][C]-0.001379[/C][C]-0.0132[/C][C]0.505235[/C][/ROW]
[ROW][C]18[/C][C]-0.02915[/C][C]-0.2781[/C][C]0.609207[/C][/ROW]
[ROW][C]19[/C][C]-0.020163[/C][C]-0.1923[/C][C]0.57605[/C][/ROW]
[ROW][C]20[/C][C]-0.067404[/C][C]-0.643[/C][C]0.739078[/C][/ROW]
[ROW][C]21[/C][C]0.04064[/C][C]0.3877[/C][C]0.349579[/C][/ROW]
[ROW][C]22[/C][C]-0.000899[/C][C]-0.0086[/C][C]0.50341[/C][/ROW]
[ROW][C]23[/C][C]-0.055851[/C][C]-0.5328[/C][C]0.702258[/C][/ROW]
[ROW][C]24[/C][C]-0.096347[/C][C]-0.9191[/C][C]0.819762[/C][/ROW]
[ROW][C]25[/C][C]0.016972[/C][C]0.1619[/C][C]0.435872[/C][/ROW]
[ROW][C]26[/C][C]0.0146[/C][C]0.1393[/C][C]0.444771[/C][/ROW]
[ROW][C]27[/C][C]-0.039335[/C][C]-0.3752[/C][C]0.64582[/C][/ROW]
[ROW][C]28[/C][C]0.032921[/C][C]0.314[/C][C]0.377103[/C][/ROW]
[ROW][C]29[/C][C]-0.041202[/C][C]-0.393[/C][C]0.652395[/C][/ROW]
[ROW][C]30[/C][C]0.033328[/C][C]0.3179[/C][C]0.375634[/C][/ROW]
[ROW][C]31[/C][C]-0.01632[/C][C]-0.1557[/C][C]0.561688[/C][/ROW]
[ROW][C]32[/C][C]-0.090855[/C][C]-0.8667[/C][C]0.805807[/C][/ROW]
[ROW][C]33[/C][C]0.054797[/C][C]0.5227[/C][C]0.301216[/C][/ROW]
[ROW][C]34[/C][C]-0.095443[/C][C]-0.9105[/C][C]0.817511[/C][/ROW]
[ROW][C]35[/C][C]-0.039882[/C][C]-0.3804[/C][C]0.64775[/C][/ROW]
[ROW][C]36[/C][C]-0.086988[/C][C]-0.8298[/C][C]0.795592[/C][/ROW]
[ROW][C]37[/C][C]-0.067484[/C][C]-0.6438[/C][C]0.739325[/C][/ROW]
[ROW][C]38[/C][C]0.008113[/C][C]0.0774[/C][C]0.469239[/C][/ROW]
[ROW][C]39[/C][C]0.055455[/C][C]0.529[/C][C]0.299044[/C][/ROW]
[ROW][C]40[/C][C]-0.156116[/C][C]-1.4892[/C][C]0.93006[/C][/ROW]
[ROW][C]41[/C][C]0.072687[/C][C]0.6934[/C][C]0.244917[/C][/ROW]
[ROW][C]42[/C][C]-0.048936[/C][C]-0.4668[/C][C]0.679129[/C][/ROW]
[ROW][C]43[/C][C]0.017179[/C][C]0.1639[/C][C]0.435097[/C][/ROW]
[ROW][C]44[/C][C]0.050689[/C][C]0.4835[/C][C]0.314937[/C][/ROW]
[ROW][C]45[/C][C]-0.022229[/C][C]-0.2121[/C][C]0.58373[/C][/ROW]
[ROW][C]46[/C][C]0.010695[/C][C]0.102[/C][C]0.45948[/C][/ROW]
[ROW][C]47[/C][C]-0.004714[/C][C]-0.045[/C][C]0.517885[/C][/ROW]
[ROW][C]48[/C][C]0.112484[/C][C]1.073[/C][C]0.143048[/C][/ROW]
[ROW][C]49[/C][C]0.004867[/C][C]0.0464[/C][C]0.481537[/C][/ROW]
[ROW][C]50[/C][C]-0.059911[/C][C]-0.5715[/C][C]0.715469[/C][/ROW]
[ROW][C]51[/C][C]0.030068[/C][C]0.2868[/C][C]0.387448[/C][/ROW]
[ROW][C]52[/C][C]-0.049334[/C][C]-0.4706[/C][C]0.680481[/C][/ROW]
[ROW][C]53[/C][C]-0.04461[/C][C]-0.4256[/C][C]0.664282[/C][/ROW]
[ROW][C]54[/C][C]0.052083[/C][C]0.4968[/C][C]0.31025[/C][/ROW]
[ROW][C]55[/C][C]0.011531[/C][C]0.11[/C][C]0.456328[/C][/ROW]
[ROW][C]56[/C][C]-0.007718[/C][C]-0.0736[/C][C]0.529265[/C][/ROW]
[ROW][C]57[/C][C]-0.008805[/C][C]-0.084[/C][C]0.533376[/C][/ROW]
[ROW][C]58[/C][C]-0.036192[/C][C]-0.3453[/C][C]0.63465[/C][/ROW]
[ROW][C]59[/C][C]-0.11785[/C][C]-1.1242[/C][C]0.868062[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3930&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3930&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
00.2946842.81110.003023
1-0.292374-2.78910.996781
2-0.204342-1.94930.97283
3-0.232347-2.21640.985423
40.0896130.85490.197439
5-0.048649-0.46410.67815
6-0.128065-1.22170.887504
7-0.371458-3.54350.999687
8-0.140334-1.33870.907999
9-0.335097-3.19660.999044
100.1653911.57770.059049
110.687766.56080
12-0.205861-1.96380.973697
130.1726361.64680.05152
140.1262861.20470.115723
150.0104490.09970.460409
16-0.018373-0.17530.56937
17-0.001379-0.01320.505235
18-0.02915-0.27810.609207
19-0.020163-0.19230.57605
20-0.067404-0.6430.739078
210.040640.38770.349579
22-0.000899-0.00860.50341
23-0.055851-0.53280.702258
24-0.096347-0.91910.819762
250.0169720.16190.435872
260.01460.13930.444771
27-0.039335-0.37520.64582
280.0329210.3140.377103
29-0.041202-0.3930.652395
300.0333280.31790.375634
31-0.01632-0.15570.561688
32-0.090855-0.86670.805807
330.0547970.52270.301216
34-0.095443-0.91050.817511
35-0.039882-0.38040.64775
36-0.086988-0.82980.795592
37-0.067484-0.64380.739325
380.0081130.07740.469239
390.0554550.5290.299044
40-0.156116-1.48920.93006
410.0726870.69340.244917
42-0.048936-0.46680.679129
430.0171790.16390.435097
440.0506890.48350.314937
45-0.022229-0.21210.58373
460.0106950.1020.45948
47-0.004714-0.0450.517885
480.1124841.0730.143048
490.0048670.04640.481537
50-0.059911-0.57150.715469
510.0300680.28680.387448
52-0.049334-0.47060.680481
53-0.04461-0.42560.664282
540.0520830.49680.31025
550.0115310.110.456328
56-0.007718-0.07360.529265
57-0.008805-0.0840.533376
58-0.036192-0.34530.63465
59-0.11785-1.12420.868062



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