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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, 19 Dec 2008 06:17:11 -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/19/t1229692721kiit9rpbk1ztjvs.htm/, Retrieved Wed, 15 May 2024 17:17:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35108, Retrieved Wed, 15 May 2024 17:17:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [Paper2] [2008-12-19 12:57:19] [8ac58ef7b35dc5a117bc162cf16850e9]
- RMPD    [(Partial) Autocorrelation Function] [Paper9] [2008-12-19 13:17:11] [acca1d0ee7cc95ffc080d0867a313954] [Current]
-           [(Partial) Autocorrelation Function] [Paper 9] [2008-12-24 11:59:02] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
528
478
469
490
493
508
517
514
510
527
542
565
555
499
511
526
532
549
561
557
566
588
620
626
620
573
573
574
580
590
593
597
595
612
628
629
621
569
567
573
584
589
591
595
594
611
613
611
594
543
537
544
555
561
562
555
547
565
578
580




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=35108&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=35108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35108&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
1-0.041621-0.28530.38832
20.0826120.56640.286922
30.055660.38160.352244
40.1150990.78910.217013
5-0.077523-0.53150.298798
60.0778590.53380.298006
7-0.006133-0.0420.483321
80.0940630.64490.261075
9-0.084814-0.58150.281857
10-0.115149-0.78940.216915
110.1158390.79420.215548
12-0.240092-1.6460.053219
13-0.185404-1.27110.104981
140.0755150.51770.303547
15-0.073983-0.50720.307193
16-0.133867-0.91770.181719
170.0043230.02960.488242
180.0105570.07240.471306
190.1022520.7010.243378
20-0.007778-0.05330.478849
210.0109320.07490.470287
220.046610.31950.375366
230.0485370.33280.3704
24-0.149442-1.02450.155416
25-0.015327-0.10510.458381
26-0.092291-0.63270.264993
27-0.008646-0.05930.476494
28-0.040158-0.27530.392142
290.0300030.20570.418962
30-0.057189-0.39210.348389
31-0.050857-0.34870.364453
32-0.110741-0.75920.225761
330.0316360.21690.414619
34-0.084132-0.57680.283419
35-0.058598-0.40170.344852
360.0002560.00180.499304
370.0755340.51780.303501
380.0524870.35980.360291
390.0230260.15790.437623
400.0254890.17470.431016
41-0.039619-0.27160.393555
42-0.007811-0.05360.47876
430.0135850.09310.463096
440.0783250.5370.29691
450.0192380.13190.447819
46-0.008264-0.05670.477529
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.041621 & -0.2853 & 0.38832 \tabularnewline
2 & 0.082612 & 0.5664 & 0.286922 \tabularnewline
3 & 0.05566 & 0.3816 & 0.352244 \tabularnewline
4 & 0.115099 & 0.7891 & 0.217013 \tabularnewline
5 & -0.077523 & -0.5315 & 0.298798 \tabularnewline
6 & 0.077859 & 0.5338 & 0.298006 \tabularnewline
7 & -0.006133 & -0.042 & 0.483321 \tabularnewline
8 & 0.094063 & 0.6449 & 0.261075 \tabularnewline
9 & -0.084814 & -0.5815 & 0.281857 \tabularnewline
10 & -0.115149 & -0.7894 & 0.216915 \tabularnewline
11 & 0.115839 & 0.7942 & 0.215548 \tabularnewline
12 & -0.240092 & -1.646 & 0.053219 \tabularnewline
13 & -0.185404 & -1.2711 & 0.104981 \tabularnewline
14 & 0.075515 & 0.5177 & 0.303547 \tabularnewline
15 & -0.073983 & -0.5072 & 0.307193 \tabularnewline
16 & -0.133867 & -0.9177 & 0.181719 \tabularnewline
17 & 0.004323 & 0.0296 & 0.488242 \tabularnewline
18 & 0.010557 & 0.0724 & 0.471306 \tabularnewline
19 & 0.102252 & 0.701 & 0.243378 \tabularnewline
20 & -0.007778 & -0.0533 & 0.478849 \tabularnewline
21 & 0.010932 & 0.0749 & 0.470287 \tabularnewline
22 & 0.04661 & 0.3195 & 0.375366 \tabularnewline
23 & 0.048537 & 0.3328 & 0.3704 \tabularnewline
24 & -0.149442 & -1.0245 & 0.155416 \tabularnewline
25 & -0.015327 & -0.1051 & 0.458381 \tabularnewline
26 & -0.092291 & -0.6327 & 0.264993 \tabularnewline
27 & -0.008646 & -0.0593 & 0.476494 \tabularnewline
28 & -0.040158 & -0.2753 & 0.392142 \tabularnewline
29 & 0.030003 & 0.2057 & 0.418962 \tabularnewline
30 & -0.057189 & -0.3921 & 0.348389 \tabularnewline
31 & -0.050857 & -0.3487 & 0.364453 \tabularnewline
32 & -0.110741 & -0.7592 & 0.225761 \tabularnewline
33 & 0.031636 & 0.2169 & 0.414619 \tabularnewline
34 & -0.084132 & -0.5768 & 0.283419 \tabularnewline
35 & -0.058598 & -0.4017 & 0.344852 \tabularnewline
36 & 0.000256 & 0.0018 & 0.499304 \tabularnewline
37 & 0.075534 & 0.5178 & 0.303501 \tabularnewline
38 & 0.052487 & 0.3598 & 0.360291 \tabularnewline
39 & 0.023026 & 0.1579 & 0.437623 \tabularnewline
40 & 0.025489 & 0.1747 & 0.431016 \tabularnewline
41 & -0.039619 & -0.2716 & 0.393555 \tabularnewline
42 & -0.007811 & -0.0536 & 0.47876 \tabularnewline
43 & 0.013585 & 0.0931 & 0.463096 \tabularnewline
44 & 0.078325 & 0.537 & 0.29691 \tabularnewline
45 & 0.019238 & 0.1319 & 0.447819 \tabularnewline
46 & -0.008264 & -0.0567 & 0.477529 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35108&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]-0.041621[/C][C]-0.2853[/C][C]0.38832[/C][/ROW]
[ROW][C]2[/C][C]0.082612[/C][C]0.5664[/C][C]0.286922[/C][/ROW]
[ROW][C]3[/C][C]0.05566[/C][C]0.3816[/C][C]0.352244[/C][/ROW]
[ROW][C]4[/C][C]0.115099[/C][C]0.7891[/C][C]0.217013[/C][/ROW]
[ROW][C]5[/C][C]-0.077523[/C][C]-0.5315[/C][C]0.298798[/C][/ROW]
[ROW][C]6[/C][C]0.077859[/C][C]0.5338[/C][C]0.298006[/C][/ROW]
[ROW][C]7[/C][C]-0.006133[/C][C]-0.042[/C][C]0.483321[/C][/ROW]
[ROW][C]8[/C][C]0.094063[/C][C]0.6449[/C][C]0.261075[/C][/ROW]
[ROW][C]9[/C][C]-0.084814[/C][C]-0.5815[/C][C]0.281857[/C][/ROW]
[ROW][C]10[/C][C]-0.115149[/C][C]-0.7894[/C][C]0.216915[/C][/ROW]
[ROW][C]11[/C][C]0.115839[/C][C]0.7942[/C][C]0.215548[/C][/ROW]
[ROW][C]12[/C][C]-0.240092[/C][C]-1.646[/C][C]0.053219[/C][/ROW]
[ROW][C]13[/C][C]-0.185404[/C][C]-1.2711[/C][C]0.104981[/C][/ROW]
[ROW][C]14[/C][C]0.075515[/C][C]0.5177[/C][C]0.303547[/C][/ROW]
[ROW][C]15[/C][C]-0.073983[/C][C]-0.5072[/C][C]0.307193[/C][/ROW]
[ROW][C]16[/C][C]-0.133867[/C][C]-0.9177[/C][C]0.181719[/C][/ROW]
[ROW][C]17[/C][C]0.004323[/C][C]0.0296[/C][C]0.488242[/C][/ROW]
[ROW][C]18[/C][C]0.010557[/C][C]0.0724[/C][C]0.471306[/C][/ROW]
[ROW][C]19[/C][C]0.102252[/C][C]0.701[/C][C]0.243378[/C][/ROW]
[ROW][C]20[/C][C]-0.007778[/C][C]-0.0533[/C][C]0.478849[/C][/ROW]
[ROW][C]21[/C][C]0.010932[/C][C]0.0749[/C][C]0.470287[/C][/ROW]
[ROW][C]22[/C][C]0.04661[/C][C]0.3195[/C][C]0.375366[/C][/ROW]
[ROW][C]23[/C][C]0.048537[/C][C]0.3328[/C][C]0.3704[/C][/ROW]
[ROW][C]24[/C][C]-0.149442[/C][C]-1.0245[/C][C]0.155416[/C][/ROW]
[ROW][C]25[/C][C]-0.015327[/C][C]-0.1051[/C][C]0.458381[/C][/ROW]
[ROW][C]26[/C][C]-0.092291[/C][C]-0.6327[/C][C]0.264993[/C][/ROW]
[ROW][C]27[/C][C]-0.008646[/C][C]-0.0593[/C][C]0.476494[/C][/ROW]
[ROW][C]28[/C][C]-0.040158[/C][C]-0.2753[/C][C]0.392142[/C][/ROW]
[ROW][C]29[/C][C]0.030003[/C][C]0.2057[/C][C]0.418962[/C][/ROW]
[ROW][C]30[/C][C]-0.057189[/C][C]-0.3921[/C][C]0.348389[/C][/ROW]
[ROW][C]31[/C][C]-0.050857[/C][C]-0.3487[/C][C]0.364453[/C][/ROW]
[ROW][C]32[/C][C]-0.110741[/C][C]-0.7592[/C][C]0.225761[/C][/ROW]
[ROW][C]33[/C][C]0.031636[/C][C]0.2169[/C][C]0.414619[/C][/ROW]
[ROW][C]34[/C][C]-0.084132[/C][C]-0.5768[/C][C]0.283419[/C][/ROW]
[ROW][C]35[/C][C]-0.058598[/C][C]-0.4017[/C][C]0.344852[/C][/ROW]
[ROW][C]36[/C][C]0.000256[/C][C]0.0018[/C][C]0.499304[/C][/ROW]
[ROW][C]37[/C][C]0.075534[/C][C]0.5178[/C][C]0.303501[/C][/ROW]
[ROW][C]38[/C][C]0.052487[/C][C]0.3598[/C][C]0.360291[/C][/ROW]
[ROW][C]39[/C][C]0.023026[/C][C]0.1579[/C][C]0.437623[/C][/ROW]
[ROW][C]40[/C][C]0.025489[/C][C]0.1747[/C][C]0.431016[/C][/ROW]
[ROW][C]41[/C][C]-0.039619[/C][C]-0.2716[/C][C]0.393555[/C][/ROW]
[ROW][C]42[/C][C]-0.007811[/C][C]-0.0536[/C][C]0.47876[/C][/ROW]
[ROW][C]43[/C][C]0.013585[/C][C]0.0931[/C][C]0.463096[/C][/ROW]
[ROW][C]44[/C][C]0.078325[/C][C]0.537[/C][C]0.29691[/C][/ROW]
[ROW][C]45[/C][C]0.019238[/C][C]0.1319[/C][C]0.447819[/C][/ROW]
[ROW][C]46[/C][C]-0.008264[/C][C]-0.0567[/C][C]0.477529[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35108&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
1-0.041621-0.28530.38832
20.0826120.56640.286922
30.055660.38160.352244
40.1150990.78910.217013
5-0.077523-0.53150.298798
60.0778590.53380.298006
7-0.006133-0.0420.483321
80.0940630.64490.261075
9-0.084814-0.58150.281857
10-0.115149-0.78940.216915
110.1158390.79420.215548
12-0.240092-1.6460.053219
13-0.185404-1.27110.104981
140.0755150.51770.303547
15-0.073983-0.50720.307193
16-0.133867-0.91770.181719
170.0043230.02960.488242
180.0105570.07240.471306
190.1022520.7010.243378
20-0.007778-0.05330.478849
210.0109320.07490.470287
220.046610.31950.375366
230.0485370.33280.3704
24-0.149442-1.02450.155416
25-0.015327-0.10510.458381
26-0.092291-0.63270.264993
27-0.008646-0.05930.476494
28-0.040158-0.27530.392142
290.0300030.20570.418962
30-0.057189-0.39210.348389
31-0.050857-0.34870.364453
32-0.110741-0.75920.225761
330.0316360.21690.414619
34-0.084132-0.57680.283419
35-0.058598-0.40170.344852
360.0002560.00180.499304
370.0755340.51780.303501
380.0524870.35980.360291
390.0230260.15790.437623
400.0254890.17470.431016
41-0.039619-0.27160.393555
42-0.007811-0.05360.47876
430.0135850.09310.463096
440.0783250.5370.29691
450.0192380.13190.447819
46-0.008264-0.05670.477529
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.041621-0.28530.38832
20.081020.55540.290612
30.0627120.42990.334606
40.1146270.78580.217952
5-0.078618-0.5390.296223
60.0506030.34690.365102
7-0.003152-0.02160.491427
80.0840330.57610.283648
9-0.071682-0.49140.312706
10-0.159757-1.09520.139496
110.1238870.84930.200003
12-0.243499-1.66930.050849
13-0.185496-1.27170.104869
140.1081810.74170.230995
15-0.065759-0.45080.327095
16-0.06541-0.44840.327952
170.0055550.03810.484891
180.047820.32780.372246
190.1492681.02330.155695
200.0394550.27050.393983
210.0244660.16770.433756
22-0.070818-0.48550.314787
230.0743120.50950.306407
24-0.152122-1.04290.151166
25-0.2506-1.7180.046187
26-0.108871-0.74640.229576
27-0.019499-0.13370.447114
28-0.076465-0.52420.301294
290.0228830.15690.438006
300.0020290.01390.49448
310.0284230.19490.423171
320.0130220.08930.464623
330.0820290.56240.288272
34-0.077555-0.53170.298723
35-0.017313-0.11870.453014
36-0.00788-0.0540.478573
37-0.090074-0.61750.269937
385.9e-054e-040.49984
39-0.013265-0.09090.463962
40-0.077744-0.5330.298278
41-0.15287-1.0480.149993
42-0.053838-0.36910.356858
430.0511910.35090.363598
440.0636260.43620.332345
450.1253760.85950.197204
46-0.015156-0.10390.458843
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.041621 & -0.2853 & 0.38832 \tabularnewline
2 & 0.08102 & 0.5554 & 0.290612 \tabularnewline
3 & 0.062712 & 0.4299 & 0.334606 \tabularnewline
4 & 0.114627 & 0.7858 & 0.217952 \tabularnewline
5 & -0.078618 & -0.539 & 0.296223 \tabularnewline
6 & 0.050603 & 0.3469 & 0.365102 \tabularnewline
7 & -0.003152 & -0.0216 & 0.491427 \tabularnewline
8 & 0.084033 & 0.5761 & 0.283648 \tabularnewline
9 & -0.071682 & -0.4914 & 0.312706 \tabularnewline
10 & -0.159757 & -1.0952 & 0.139496 \tabularnewline
11 & 0.123887 & 0.8493 & 0.200003 \tabularnewline
12 & -0.243499 & -1.6693 & 0.050849 \tabularnewline
13 & -0.185496 & -1.2717 & 0.104869 \tabularnewline
14 & 0.108181 & 0.7417 & 0.230995 \tabularnewline
15 & -0.065759 & -0.4508 & 0.327095 \tabularnewline
16 & -0.06541 & -0.4484 & 0.327952 \tabularnewline
17 & 0.005555 & 0.0381 & 0.484891 \tabularnewline
18 & 0.04782 & 0.3278 & 0.372246 \tabularnewline
19 & 0.149268 & 1.0233 & 0.155695 \tabularnewline
20 & 0.039455 & 0.2705 & 0.393983 \tabularnewline
21 & 0.024466 & 0.1677 & 0.433756 \tabularnewline
22 & -0.070818 & -0.4855 & 0.314787 \tabularnewline
23 & 0.074312 & 0.5095 & 0.306407 \tabularnewline
24 & -0.152122 & -1.0429 & 0.151166 \tabularnewline
25 & -0.2506 & -1.718 & 0.046187 \tabularnewline
26 & -0.108871 & -0.7464 & 0.229576 \tabularnewline
27 & -0.019499 & -0.1337 & 0.447114 \tabularnewline
28 & -0.076465 & -0.5242 & 0.301294 \tabularnewline
29 & 0.022883 & 0.1569 & 0.438006 \tabularnewline
30 & 0.002029 & 0.0139 & 0.49448 \tabularnewline
31 & 0.028423 & 0.1949 & 0.423171 \tabularnewline
32 & 0.013022 & 0.0893 & 0.464623 \tabularnewline
33 & 0.082029 & 0.5624 & 0.288272 \tabularnewline
34 & -0.077555 & -0.5317 & 0.298723 \tabularnewline
35 & -0.017313 & -0.1187 & 0.453014 \tabularnewline
36 & -0.00788 & -0.054 & 0.478573 \tabularnewline
37 & -0.090074 & -0.6175 & 0.269937 \tabularnewline
38 & 5.9e-05 & 4e-04 & 0.49984 \tabularnewline
39 & -0.013265 & -0.0909 & 0.463962 \tabularnewline
40 & -0.077744 & -0.533 & 0.298278 \tabularnewline
41 & -0.15287 & -1.048 & 0.149993 \tabularnewline
42 & -0.053838 & -0.3691 & 0.356858 \tabularnewline
43 & 0.051191 & 0.3509 & 0.363598 \tabularnewline
44 & 0.063626 & 0.4362 & 0.332345 \tabularnewline
45 & 0.125376 & 0.8595 & 0.197204 \tabularnewline
46 & -0.015156 & -0.1039 & 0.458843 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35108&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]-0.041621[/C][C]-0.2853[/C][C]0.38832[/C][/ROW]
[ROW][C]2[/C][C]0.08102[/C][C]0.5554[/C][C]0.290612[/C][/ROW]
[ROW][C]3[/C][C]0.062712[/C][C]0.4299[/C][C]0.334606[/C][/ROW]
[ROW][C]4[/C][C]0.114627[/C][C]0.7858[/C][C]0.217952[/C][/ROW]
[ROW][C]5[/C][C]-0.078618[/C][C]-0.539[/C][C]0.296223[/C][/ROW]
[ROW][C]6[/C][C]0.050603[/C][C]0.3469[/C][C]0.365102[/C][/ROW]
[ROW][C]7[/C][C]-0.003152[/C][C]-0.0216[/C][C]0.491427[/C][/ROW]
[ROW][C]8[/C][C]0.084033[/C][C]0.5761[/C][C]0.283648[/C][/ROW]
[ROW][C]9[/C][C]-0.071682[/C][C]-0.4914[/C][C]0.312706[/C][/ROW]
[ROW][C]10[/C][C]-0.159757[/C][C]-1.0952[/C][C]0.139496[/C][/ROW]
[ROW][C]11[/C][C]0.123887[/C][C]0.8493[/C][C]0.200003[/C][/ROW]
[ROW][C]12[/C][C]-0.243499[/C][C]-1.6693[/C][C]0.050849[/C][/ROW]
[ROW][C]13[/C][C]-0.185496[/C][C]-1.2717[/C][C]0.104869[/C][/ROW]
[ROW][C]14[/C][C]0.108181[/C][C]0.7417[/C][C]0.230995[/C][/ROW]
[ROW][C]15[/C][C]-0.065759[/C][C]-0.4508[/C][C]0.327095[/C][/ROW]
[ROW][C]16[/C][C]-0.06541[/C][C]-0.4484[/C][C]0.327952[/C][/ROW]
[ROW][C]17[/C][C]0.005555[/C][C]0.0381[/C][C]0.484891[/C][/ROW]
[ROW][C]18[/C][C]0.04782[/C][C]0.3278[/C][C]0.372246[/C][/ROW]
[ROW][C]19[/C][C]0.149268[/C][C]1.0233[/C][C]0.155695[/C][/ROW]
[ROW][C]20[/C][C]0.039455[/C][C]0.2705[/C][C]0.393983[/C][/ROW]
[ROW][C]21[/C][C]0.024466[/C][C]0.1677[/C][C]0.433756[/C][/ROW]
[ROW][C]22[/C][C]-0.070818[/C][C]-0.4855[/C][C]0.314787[/C][/ROW]
[ROW][C]23[/C][C]0.074312[/C][C]0.5095[/C][C]0.306407[/C][/ROW]
[ROW][C]24[/C][C]-0.152122[/C][C]-1.0429[/C][C]0.151166[/C][/ROW]
[ROW][C]25[/C][C]-0.2506[/C][C]-1.718[/C][C]0.046187[/C][/ROW]
[ROW][C]26[/C][C]-0.108871[/C][C]-0.7464[/C][C]0.229576[/C][/ROW]
[ROW][C]27[/C][C]-0.019499[/C][C]-0.1337[/C][C]0.447114[/C][/ROW]
[ROW][C]28[/C][C]-0.076465[/C][C]-0.5242[/C][C]0.301294[/C][/ROW]
[ROW][C]29[/C][C]0.022883[/C][C]0.1569[/C][C]0.438006[/C][/ROW]
[ROW][C]30[/C][C]0.002029[/C][C]0.0139[/C][C]0.49448[/C][/ROW]
[ROW][C]31[/C][C]0.028423[/C][C]0.1949[/C][C]0.423171[/C][/ROW]
[ROW][C]32[/C][C]0.013022[/C][C]0.0893[/C][C]0.464623[/C][/ROW]
[ROW][C]33[/C][C]0.082029[/C][C]0.5624[/C][C]0.288272[/C][/ROW]
[ROW][C]34[/C][C]-0.077555[/C][C]-0.5317[/C][C]0.298723[/C][/ROW]
[ROW][C]35[/C][C]-0.017313[/C][C]-0.1187[/C][C]0.453014[/C][/ROW]
[ROW][C]36[/C][C]-0.00788[/C][C]-0.054[/C][C]0.478573[/C][/ROW]
[ROW][C]37[/C][C]-0.090074[/C][C]-0.6175[/C][C]0.269937[/C][/ROW]
[ROW][C]38[/C][C]5.9e-05[/C][C]4e-04[/C][C]0.49984[/C][/ROW]
[ROW][C]39[/C][C]-0.013265[/C][C]-0.0909[/C][C]0.463962[/C][/ROW]
[ROW][C]40[/C][C]-0.077744[/C][C]-0.533[/C][C]0.298278[/C][/ROW]
[ROW][C]41[/C][C]-0.15287[/C][C]-1.048[/C][C]0.149993[/C][/ROW]
[ROW][C]42[/C][C]-0.053838[/C][C]-0.3691[/C][C]0.356858[/C][/ROW]
[ROW][C]43[/C][C]0.051191[/C][C]0.3509[/C][C]0.363598[/C][/ROW]
[ROW][C]44[/C][C]0.063626[/C][C]0.4362[/C][C]0.332345[/C][/ROW]
[ROW][C]45[/C][C]0.125376[/C][C]0.8595[/C][C]0.197204[/C][/ROW]
[ROW][C]46[/C][C]-0.015156[/C][C]-0.1039[/C][C]0.458843[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35108&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35108&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
1-0.041621-0.28530.38832
20.081020.55540.290612
30.0627120.42990.334606
40.1146270.78580.217952
5-0.078618-0.5390.296223
60.0506030.34690.365102
7-0.003152-0.02160.491427
80.0840330.57610.283648
9-0.071682-0.49140.312706
10-0.159757-1.09520.139496
110.1238870.84930.200003
12-0.243499-1.66930.050849
13-0.185496-1.27170.104869
140.1081810.74170.230995
15-0.065759-0.45080.327095
16-0.06541-0.44840.327952
170.0055550.03810.484891
180.047820.32780.372246
190.1492681.02330.155695
200.0394550.27050.393983
210.0244660.16770.433756
22-0.070818-0.48550.314787
230.0743120.50950.306407
24-0.152122-1.04290.151166
25-0.2506-1.7180.046187
26-0.108871-0.74640.229576
27-0.019499-0.13370.447114
28-0.076465-0.52420.301294
290.0228830.15690.438006
300.0020290.01390.49448
310.0284230.19490.423171
320.0130220.08930.464623
330.0820290.56240.288272
34-0.077555-0.53170.298723
35-0.017313-0.11870.453014
36-0.00788-0.0540.478573
37-0.090074-0.61750.269937
385.9e-054e-040.49984
39-0.013265-0.09090.463962
40-0.077744-0.5330.298278
41-0.15287-1.0480.149993
42-0.053838-0.36910.356858
430.0511910.35090.363598
440.0636260.43620.332345
450.1253760.85950.197204
46-0.015156-0.10390.458843
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')