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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 07:45:42 -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/29/t1196346952g69wugdz87ebcil.htm/, Retrieved Fri, 03 May 2024 08:42:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7498, Retrieved Fri, 03 May 2024 08:42:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650550 s0650062
Estimated Impact219
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inducing Stationa...] [2007-11-29 14:45:42] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
1,1
1,3
1,2
1,6
1,7
1,5
0,9
1,5
1,4
1,6
1,7
1,4
1,8
1,7
1,4
1,2
1,0
1,7
2,4
2,0
2,1
2,0
1,8
2,7
2,3
1,9
2,0
2,3
2,8
2,4
2,3
2,7
2,7
2,9
3,0
2,2
2,3
2,8
2,8
2,8
2,2
2,6
2,8
2,5
2,4
2,3
1,9
1,7
2,0
2,1
1,7
1,8
1,8
1,8
1,3
1,3
1,3
1,2
1,4
2,2




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=7498&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=7498&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7498&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
017.68110
1-0.122329-0.93960.824379
2-0.276956-2.12730.981209
3-0.022947-0.17630.569652
4-0.073263-0.56270.712129
50.1971041.5140.067684
60.0260550.20010.421032
7-0.204917-1.5740.939582
80.0360670.2770.39136
9-0.065135-0.50030.690641
100.2855232.19310.016125
110.2313531.77710.040357
12-0.477995-3.67160.99974
13-0.104672-0.8040.787688
140.209541.60950.056422
150.0044760.03440.486344
160.1082540.83150.204518
17-0.238436-1.83150.963959
18-0.069565-0.53430.702441
190.1142010.87720.191969
200.0616110.47320.318894
210.0687410.5280.299736
22-0.073799-0.56690.713521
23-0.174579-1.3410.907464
240.0803970.61750.269626
250.0968950.74430.229835
26-0.086644-0.66550.745847
27-0.041585-0.31940.624733
28-0.065895-0.50620.692682
290.0475270.36510.358186
300.0746380.57330.284308
31-0.006519-0.05010.519884
320.0152150.11690.453681
33-0.053625-0.41190.659048
340.0006820.00520.497918
350.0143770.11040.45622
360.0202080.15520.438588
37-0.120812-0.9280.821399
380.0324780.24950.401934
39-0.001156-0.00890.503526
40-0.009391-0.07210.528631
410.1616451.24160.109645
420.031160.23930.405834
43-0.091451-0.70240.757418
440.0005210.0040.498409
45-0.050612-0.38880.650572
46-9.5e-05-7e-040.50029
47-0.037431-0.28750.612635
480.0339850.2610.397485
490.0198570.15250.439647
500.0016840.01290.494862
51-0.011486-0.08820.535003
520.0683830.52530.300685
53-0.108621-0.83430.79627
54-0.03108-0.23870.593927
550.0240850.1850.426932
560.0384250.29510.384458
57-0.008393-0.06450.525591
580.0242990.18660.426289
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & -0.122329 & -0.9396 & 0.824379 \tabularnewline
2 & -0.276956 & -2.1273 & 0.981209 \tabularnewline
3 & -0.022947 & -0.1763 & 0.569652 \tabularnewline
4 & -0.073263 & -0.5627 & 0.712129 \tabularnewline
5 & 0.197104 & 1.514 & 0.067684 \tabularnewline
6 & 0.026055 & 0.2001 & 0.421032 \tabularnewline
7 & -0.204917 & -1.574 & 0.939582 \tabularnewline
8 & 0.036067 & 0.277 & 0.39136 \tabularnewline
9 & -0.065135 & -0.5003 & 0.690641 \tabularnewline
10 & 0.285523 & 2.1931 & 0.016125 \tabularnewline
11 & 0.231353 & 1.7771 & 0.040357 \tabularnewline
12 & -0.477995 & -3.6716 & 0.99974 \tabularnewline
13 & -0.104672 & -0.804 & 0.787688 \tabularnewline
14 & 0.20954 & 1.6095 & 0.056422 \tabularnewline
15 & 0.004476 & 0.0344 & 0.486344 \tabularnewline
16 & 0.108254 & 0.8315 & 0.204518 \tabularnewline
17 & -0.238436 & -1.8315 & 0.963959 \tabularnewline
18 & -0.069565 & -0.5343 & 0.702441 \tabularnewline
19 & 0.114201 & 0.8772 & 0.191969 \tabularnewline
20 & 0.061611 & 0.4732 & 0.318894 \tabularnewline
21 & 0.068741 & 0.528 & 0.299736 \tabularnewline
22 & -0.073799 & -0.5669 & 0.713521 \tabularnewline
23 & -0.174579 & -1.341 & 0.907464 \tabularnewline
24 & 0.080397 & 0.6175 & 0.269626 \tabularnewline
25 & 0.096895 & 0.7443 & 0.229835 \tabularnewline
26 & -0.086644 & -0.6655 & 0.745847 \tabularnewline
27 & -0.041585 & -0.3194 & 0.624733 \tabularnewline
28 & -0.065895 & -0.5062 & 0.692682 \tabularnewline
29 & 0.047527 & 0.3651 & 0.358186 \tabularnewline
30 & 0.074638 & 0.5733 & 0.284308 \tabularnewline
31 & -0.006519 & -0.0501 & 0.519884 \tabularnewline
32 & 0.015215 & 0.1169 & 0.453681 \tabularnewline
33 & -0.053625 & -0.4119 & 0.659048 \tabularnewline
34 & 0.000682 & 0.0052 & 0.497918 \tabularnewline
35 & 0.014377 & 0.1104 & 0.45622 \tabularnewline
36 & 0.020208 & 0.1552 & 0.438588 \tabularnewline
37 & -0.120812 & -0.928 & 0.821399 \tabularnewline
38 & 0.032478 & 0.2495 & 0.401934 \tabularnewline
39 & -0.001156 & -0.0089 & 0.503526 \tabularnewline
40 & -0.009391 & -0.0721 & 0.528631 \tabularnewline
41 & 0.161645 & 1.2416 & 0.109645 \tabularnewline
42 & 0.03116 & 0.2393 & 0.405834 \tabularnewline
43 & -0.091451 & -0.7024 & 0.757418 \tabularnewline
44 & 0.000521 & 0.004 & 0.498409 \tabularnewline
45 & -0.050612 & -0.3888 & 0.650572 \tabularnewline
46 & -9.5e-05 & -7e-04 & 0.50029 \tabularnewline
47 & -0.037431 & -0.2875 & 0.612635 \tabularnewline
48 & 0.033985 & 0.261 & 0.397485 \tabularnewline
49 & 0.019857 & 0.1525 & 0.439647 \tabularnewline
50 & 0.001684 & 0.0129 & 0.494862 \tabularnewline
51 & -0.011486 & -0.0882 & 0.535003 \tabularnewline
52 & 0.068383 & 0.5253 & 0.300685 \tabularnewline
53 & -0.108621 & -0.8343 & 0.79627 \tabularnewline
54 & -0.03108 & -0.2387 & 0.593927 \tabularnewline
55 & 0.024085 & 0.185 & 0.426932 \tabularnewline
56 & 0.038425 & 0.2951 & 0.384458 \tabularnewline
57 & -0.008393 & -0.0645 & 0.525591 \tabularnewline
58 & 0.024299 & 0.1866 & 0.426289 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7498&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.122329[/C][C]-0.9396[/C][C]0.824379[/C][/ROW]
[ROW][C]2[/C][C]-0.276956[/C][C]-2.1273[/C][C]0.981209[/C][/ROW]
[ROW][C]3[/C][C]-0.022947[/C][C]-0.1763[/C][C]0.569652[/C][/ROW]
[ROW][C]4[/C][C]-0.073263[/C][C]-0.5627[/C][C]0.712129[/C][/ROW]
[ROW][C]5[/C][C]0.197104[/C][C]1.514[/C][C]0.067684[/C][/ROW]
[ROW][C]6[/C][C]0.026055[/C][C]0.2001[/C][C]0.421032[/C][/ROW]
[ROW][C]7[/C][C]-0.204917[/C][C]-1.574[/C][C]0.939582[/C][/ROW]
[ROW][C]8[/C][C]0.036067[/C][C]0.277[/C][C]0.39136[/C][/ROW]
[ROW][C]9[/C][C]-0.065135[/C][C]-0.5003[/C][C]0.690641[/C][/ROW]
[ROW][C]10[/C][C]0.285523[/C][C]2.1931[/C][C]0.016125[/C][/ROW]
[ROW][C]11[/C][C]0.231353[/C][C]1.7771[/C][C]0.040357[/C][/ROW]
[ROW][C]12[/C][C]-0.477995[/C][C]-3.6716[/C][C]0.99974[/C][/ROW]
[ROW][C]13[/C][C]-0.104672[/C][C]-0.804[/C][C]0.787688[/C][/ROW]
[ROW][C]14[/C][C]0.20954[/C][C]1.6095[/C][C]0.056422[/C][/ROW]
[ROW][C]15[/C][C]0.004476[/C][C]0.0344[/C][C]0.486344[/C][/ROW]
[ROW][C]16[/C][C]0.108254[/C][C]0.8315[/C][C]0.204518[/C][/ROW]
[ROW][C]17[/C][C]-0.238436[/C][C]-1.8315[/C][C]0.963959[/C][/ROW]
[ROW][C]18[/C][C]-0.069565[/C][C]-0.5343[/C][C]0.702441[/C][/ROW]
[ROW][C]19[/C][C]0.114201[/C][C]0.8772[/C][C]0.191969[/C][/ROW]
[ROW][C]20[/C][C]0.061611[/C][C]0.4732[/C][C]0.318894[/C][/ROW]
[ROW][C]21[/C][C]0.068741[/C][C]0.528[/C][C]0.299736[/C][/ROW]
[ROW][C]22[/C][C]-0.073799[/C][C]-0.5669[/C][C]0.713521[/C][/ROW]
[ROW][C]23[/C][C]-0.174579[/C][C]-1.341[/C][C]0.907464[/C][/ROW]
[ROW][C]24[/C][C]0.080397[/C][C]0.6175[/C][C]0.269626[/C][/ROW]
[ROW][C]25[/C][C]0.096895[/C][C]0.7443[/C][C]0.229835[/C][/ROW]
[ROW][C]26[/C][C]-0.086644[/C][C]-0.6655[/C][C]0.745847[/C][/ROW]
[ROW][C]27[/C][C]-0.041585[/C][C]-0.3194[/C][C]0.624733[/C][/ROW]
[ROW][C]28[/C][C]-0.065895[/C][C]-0.5062[/C][C]0.692682[/C][/ROW]
[ROW][C]29[/C][C]0.047527[/C][C]0.3651[/C][C]0.358186[/C][/ROW]
[ROW][C]30[/C][C]0.074638[/C][C]0.5733[/C][C]0.284308[/C][/ROW]
[ROW][C]31[/C][C]-0.006519[/C][C]-0.0501[/C][C]0.519884[/C][/ROW]
[ROW][C]32[/C][C]0.015215[/C][C]0.1169[/C][C]0.453681[/C][/ROW]
[ROW][C]33[/C][C]-0.053625[/C][C]-0.4119[/C][C]0.659048[/C][/ROW]
[ROW][C]34[/C][C]0.000682[/C][C]0.0052[/C][C]0.497918[/C][/ROW]
[ROW][C]35[/C][C]0.014377[/C][C]0.1104[/C][C]0.45622[/C][/ROW]
[ROW][C]36[/C][C]0.020208[/C][C]0.1552[/C][C]0.438588[/C][/ROW]
[ROW][C]37[/C][C]-0.120812[/C][C]-0.928[/C][C]0.821399[/C][/ROW]
[ROW][C]38[/C][C]0.032478[/C][C]0.2495[/C][C]0.401934[/C][/ROW]
[ROW][C]39[/C][C]-0.001156[/C][C]-0.0089[/C][C]0.503526[/C][/ROW]
[ROW][C]40[/C][C]-0.009391[/C][C]-0.0721[/C][C]0.528631[/C][/ROW]
[ROW][C]41[/C][C]0.161645[/C][C]1.2416[/C][C]0.109645[/C][/ROW]
[ROW][C]42[/C][C]0.03116[/C][C]0.2393[/C][C]0.405834[/C][/ROW]
[ROW][C]43[/C][C]-0.091451[/C][C]-0.7024[/C][C]0.757418[/C][/ROW]
[ROW][C]44[/C][C]0.000521[/C][C]0.004[/C][C]0.498409[/C][/ROW]
[ROW][C]45[/C][C]-0.050612[/C][C]-0.3888[/C][C]0.650572[/C][/ROW]
[ROW][C]46[/C][C]-9.5e-05[/C][C]-7e-04[/C][C]0.50029[/C][/ROW]
[ROW][C]47[/C][C]-0.037431[/C][C]-0.2875[/C][C]0.612635[/C][/ROW]
[ROW][C]48[/C][C]0.033985[/C][C]0.261[/C][C]0.397485[/C][/ROW]
[ROW][C]49[/C][C]0.019857[/C][C]0.1525[/C][C]0.439647[/C][/ROW]
[ROW][C]50[/C][C]0.001684[/C][C]0.0129[/C][C]0.494862[/C][/ROW]
[ROW][C]51[/C][C]-0.011486[/C][C]-0.0882[/C][C]0.535003[/C][/ROW]
[ROW][C]52[/C][C]0.068383[/C][C]0.5253[/C][C]0.300685[/C][/ROW]
[ROW][C]53[/C][C]-0.108621[/C][C]-0.8343[/C][C]0.79627[/C][/ROW]
[ROW][C]54[/C][C]-0.03108[/C][C]-0.2387[/C][C]0.593927[/C][/ROW]
[ROW][C]55[/C][C]0.024085[/C][C]0.185[/C][C]0.426932[/C][/ROW]
[ROW][C]56[/C][C]0.038425[/C][C]0.2951[/C][C]0.384458[/C][/ROW]
[ROW][C]57[/C][C]-0.008393[/C][C]-0.0645[/C][C]0.525591[/C][/ROW]
[ROW][C]58[/C][C]0.024299[/C][C]0.1866[/C][C]0.426289[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7498&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7498&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
017.68110
1-0.122329-0.93960.824379
2-0.276956-2.12730.981209
3-0.022947-0.17630.569652
4-0.073263-0.56270.712129
50.1971041.5140.067684
60.0260550.20010.421032
7-0.204917-1.5740.939582
80.0360670.2770.39136
9-0.065135-0.50030.690641
100.2855232.19310.016125
110.2313531.77710.040357
12-0.477995-3.67160.99974
13-0.104672-0.8040.787688
140.209541.60950.056422
150.0044760.03440.486344
160.1082540.83150.204518
17-0.238436-1.83150.963959
18-0.069565-0.53430.702441
190.1142010.87720.191969
200.0616110.47320.318894
210.0687410.5280.299736
22-0.073799-0.56690.713521
23-0.174579-1.3410.907464
240.0803970.61750.269626
250.0968950.74430.229835
26-0.086644-0.66550.745847
27-0.041585-0.31940.624733
28-0.065895-0.50620.692682
290.0475270.36510.358186
300.0746380.57330.284308
31-0.006519-0.05010.519884
320.0152150.11690.453681
33-0.053625-0.41190.659048
340.0006820.00520.497918
350.0143770.11040.45622
360.0202080.15520.438588
37-0.120812-0.9280.821399
380.0324780.24950.401934
39-0.001156-0.00890.503526
40-0.009391-0.07210.528631
410.1616451.24160.109645
420.031160.23930.405834
43-0.091451-0.70240.757418
440.0005210.0040.498409
45-0.050612-0.38880.650572
46-9.5e-05-7e-040.50029
47-0.037431-0.28750.612635
480.0339850.2610.397485
490.0198570.15250.439647
500.0016840.01290.494862
51-0.011486-0.08820.535003
520.0683830.52530.300685
53-0.108621-0.83430.79627
54-0.03108-0.23870.593927
550.0240850.1850.426932
560.0384250.29510.384458
57-0.008393-0.06450.525591
580.0242990.18660.426289
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.122329-0.93960.824379
1-0.296355-2.27630.986765
2-0.114765-0.88150.809196
3-0.201693-1.54920.936664
40.123920.95180.172529
50.0019180.01470.494148
6-0.127041-0.97580.833431
7-0.002913-0.02240.508888
8-0.143837-1.10480.863142
90.273162.09820.02009
100.2918542.24180.014375
11-0.259259-1.99140.974464
12-0.118298-0.90870.816387
130.0800870.61520.270408
14-0.06246-0.47980.683416
150.0285480.21930.413594
16-0.140086-1.0760.85685
17-0.032118-0.24670.597003
18-0.105145-0.80760.788728
190.0213860.16430.435042
20-0.08677-0.66650.746153
210.1056670.81160.210129
220.1271410.97660.16638
23-0.183444-1.40910.917967
24-0.056598-0.43470.667331
25-0.068366-0.52510.699268
260.004440.03410.486453
270.0189610.14560.442351
28-0.084633-0.65010.740918
29-0.119679-0.91930.819152
300.0117740.09040.464124
310.0710620.54580.293618
32-0.016988-0.13050.551687
330.0685480.52650.300247
34-0.015568-0.11960.54739
35-0.048648-0.37370.645007
36-0.143425-1.10170.86246
37-0.003179-0.02440.509699
38-0.068457-0.52580.699511
39-0.018877-0.1450.557398
400.1406441.08030.142201
410.0399980.30720.379876
42-0.057661-0.44290.670272
430.0700330.53790.296322
44-0.038546-0.29610.615896
45-0.050108-0.38490.649147
46-0.109381-0.84020.797897
470.07670.58910.279006
48-0.09123-0.70080.756894
490.0147240.11310.455168
50-0.095708-0.73510.767419
51-0.172113-1.3220.904369
520.0270690.20790.418003
530.0066690.05120.479658
54-0.075045-0.57640.716742
550.0795840.61130.271675
560.005740.04410.482491
570.0320460.24610.403211
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.122329 & -0.9396 & 0.824379 \tabularnewline
1 & -0.296355 & -2.2763 & 0.986765 \tabularnewline
2 & -0.114765 & -0.8815 & 0.809196 \tabularnewline
3 & -0.201693 & -1.5492 & 0.936664 \tabularnewline
4 & 0.12392 & 0.9518 & 0.172529 \tabularnewline
5 & 0.001918 & 0.0147 & 0.494148 \tabularnewline
6 & -0.127041 & -0.9758 & 0.833431 \tabularnewline
7 & -0.002913 & -0.0224 & 0.508888 \tabularnewline
8 & -0.143837 & -1.1048 & 0.863142 \tabularnewline
9 & 0.27316 & 2.0982 & 0.02009 \tabularnewline
10 & 0.291854 & 2.2418 & 0.014375 \tabularnewline
11 & -0.259259 & -1.9914 & 0.974464 \tabularnewline
12 & -0.118298 & -0.9087 & 0.816387 \tabularnewline
13 & 0.080087 & 0.6152 & 0.270408 \tabularnewline
14 & -0.06246 & -0.4798 & 0.683416 \tabularnewline
15 & 0.028548 & 0.2193 & 0.413594 \tabularnewline
16 & -0.140086 & -1.076 & 0.85685 \tabularnewline
17 & -0.032118 & -0.2467 & 0.597003 \tabularnewline
18 & -0.105145 & -0.8076 & 0.788728 \tabularnewline
19 & 0.021386 & 0.1643 & 0.435042 \tabularnewline
20 & -0.08677 & -0.6665 & 0.746153 \tabularnewline
21 & 0.105667 & 0.8116 & 0.210129 \tabularnewline
22 & 0.127141 & 0.9766 & 0.16638 \tabularnewline
23 & -0.183444 & -1.4091 & 0.917967 \tabularnewline
24 & -0.056598 & -0.4347 & 0.667331 \tabularnewline
25 & -0.068366 & -0.5251 & 0.699268 \tabularnewline
26 & 0.00444 & 0.0341 & 0.486453 \tabularnewline
27 & 0.018961 & 0.1456 & 0.442351 \tabularnewline
28 & -0.084633 & -0.6501 & 0.740918 \tabularnewline
29 & -0.119679 & -0.9193 & 0.819152 \tabularnewline
30 & 0.011774 & 0.0904 & 0.464124 \tabularnewline
31 & 0.071062 & 0.5458 & 0.293618 \tabularnewline
32 & -0.016988 & -0.1305 & 0.551687 \tabularnewline
33 & 0.068548 & 0.5265 & 0.300247 \tabularnewline
34 & -0.015568 & -0.1196 & 0.54739 \tabularnewline
35 & -0.048648 & -0.3737 & 0.645007 \tabularnewline
36 & -0.143425 & -1.1017 & 0.86246 \tabularnewline
37 & -0.003179 & -0.0244 & 0.509699 \tabularnewline
38 & -0.068457 & -0.5258 & 0.699511 \tabularnewline
39 & -0.018877 & -0.145 & 0.557398 \tabularnewline
40 & 0.140644 & 1.0803 & 0.142201 \tabularnewline
41 & 0.039998 & 0.3072 & 0.379876 \tabularnewline
42 & -0.057661 & -0.4429 & 0.670272 \tabularnewline
43 & 0.070033 & 0.5379 & 0.296322 \tabularnewline
44 & -0.038546 & -0.2961 & 0.615896 \tabularnewline
45 & -0.050108 & -0.3849 & 0.649147 \tabularnewline
46 & -0.109381 & -0.8402 & 0.797897 \tabularnewline
47 & 0.0767 & 0.5891 & 0.279006 \tabularnewline
48 & -0.09123 & -0.7008 & 0.756894 \tabularnewline
49 & 0.014724 & 0.1131 & 0.455168 \tabularnewline
50 & -0.095708 & -0.7351 & 0.767419 \tabularnewline
51 & -0.172113 & -1.322 & 0.904369 \tabularnewline
52 & 0.027069 & 0.2079 & 0.418003 \tabularnewline
53 & 0.006669 & 0.0512 & 0.479658 \tabularnewline
54 & -0.075045 & -0.5764 & 0.716742 \tabularnewline
55 & 0.079584 & 0.6113 & 0.271675 \tabularnewline
56 & 0.00574 & 0.0441 & 0.482491 \tabularnewline
57 & 0.032046 & 0.2461 & 0.403211 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7498&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]-0.122329[/C][C]-0.9396[/C][C]0.824379[/C][/ROW]
[ROW][C]1[/C][C]-0.296355[/C][C]-2.2763[/C][C]0.986765[/C][/ROW]
[ROW][C]2[/C][C]-0.114765[/C][C]-0.8815[/C][C]0.809196[/C][/ROW]
[ROW][C]3[/C][C]-0.201693[/C][C]-1.5492[/C][C]0.936664[/C][/ROW]
[ROW][C]4[/C][C]0.12392[/C][C]0.9518[/C][C]0.172529[/C][/ROW]
[ROW][C]5[/C][C]0.001918[/C][C]0.0147[/C][C]0.494148[/C][/ROW]
[ROW][C]6[/C][C]-0.127041[/C][C]-0.9758[/C][C]0.833431[/C][/ROW]
[ROW][C]7[/C][C]-0.002913[/C][C]-0.0224[/C][C]0.508888[/C][/ROW]
[ROW][C]8[/C][C]-0.143837[/C][C]-1.1048[/C][C]0.863142[/C][/ROW]
[ROW][C]9[/C][C]0.27316[/C][C]2.0982[/C][C]0.02009[/C][/ROW]
[ROW][C]10[/C][C]0.291854[/C][C]2.2418[/C][C]0.014375[/C][/ROW]
[ROW][C]11[/C][C]-0.259259[/C][C]-1.9914[/C][C]0.974464[/C][/ROW]
[ROW][C]12[/C][C]-0.118298[/C][C]-0.9087[/C][C]0.816387[/C][/ROW]
[ROW][C]13[/C][C]0.080087[/C][C]0.6152[/C][C]0.270408[/C][/ROW]
[ROW][C]14[/C][C]-0.06246[/C][C]-0.4798[/C][C]0.683416[/C][/ROW]
[ROW][C]15[/C][C]0.028548[/C][C]0.2193[/C][C]0.413594[/C][/ROW]
[ROW][C]16[/C][C]-0.140086[/C][C]-1.076[/C][C]0.85685[/C][/ROW]
[ROW][C]17[/C][C]-0.032118[/C][C]-0.2467[/C][C]0.597003[/C][/ROW]
[ROW][C]18[/C][C]-0.105145[/C][C]-0.8076[/C][C]0.788728[/C][/ROW]
[ROW][C]19[/C][C]0.021386[/C][C]0.1643[/C][C]0.435042[/C][/ROW]
[ROW][C]20[/C][C]-0.08677[/C][C]-0.6665[/C][C]0.746153[/C][/ROW]
[ROW][C]21[/C][C]0.105667[/C][C]0.8116[/C][C]0.210129[/C][/ROW]
[ROW][C]22[/C][C]0.127141[/C][C]0.9766[/C][C]0.16638[/C][/ROW]
[ROW][C]23[/C][C]-0.183444[/C][C]-1.4091[/C][C]0.917967[/C][/ROW]
[ROW][C]24[/C][C]-0.056598[/C][C]-0.4347[/C][C]0.667331[/C][/ROW]
[ROW][C]25[/C][C]-0.068366[/C][C]-0.5251[/C][C]0.699268[/C][/ROW]
[ROW][C]26[/C][C]0.00444[/C][C]0.0341[/C][C]0.486453[/C][/ROW]
[ROW][C]27[/C][C]0.018961[/C][C]0.1456[/C][C]0.442351[/C][/ROW]
[ROW][C]28[/C][C]-0.084633[/C][C]-0.6501[/C][C]0.740918[/C][/ROW]
[ROW][C]29[/C][C]-0.119679[/C][C]-0.9193[/C][C]0.819152[/C][/ROW]
[ROW][C]30[/C][C]0.011774[/C][C]0.0904[/C][C]0.464124[/C][/ROW]
[ROW][C]31[/C][C]0.071062[/C][C]0.5458[/C][C]0.293618[/C][/ROW]
[ROW][C]32[/C][C]-0.016988[/C][C]-0.1305[/C][C]0.551687[/C][/ROW]
[ROW][C]33[/C][C]0.068548[/C][C]0.5265[/C][C]0.300247[/C][/ROW]
[ROW][C]34[/C][C]-0.015568[/C][C]-0.1196[/C][C]0.54739[/C][/ROW]
[ROW][C]35[/C][C]-0.048648[/C][C]-0.3737[/C][C]0.645007[/C][/ROW]
[ROW][C]36[/C][C]-0.143425[/C][C]-1.1017[/C][C]0.86246[/C][/ROW]
[ROW][C]37[/C][C]-0.003179[/C][C]-0.0244[/C][C]0.509699[/C][/ROW]
[ROW][C]38[/C][C]-0.068457[/C][C]-0.5258[/C][C]0.699511[/C][/ROW]
[ROW][C]39[/C][C]-0.018877[/C][C]-0.145[/C][C]0.557398[/C][/ROW]
[ROW][C]40[/C][C]0.140644[/C][C]1.0803[/C][C]0.142201[/C][/ROW]
[ROW][C]41[/C][C]0.039998[/C][C]0.3072[/C][C]0.379876[/C][/ROW]
[ROW][C]42[/C][C]-0.057661[/C][C]-0.4429[/C][C]0.670272[/C][/ROW]
[ROW][C]43[/C][C]0.070033[/C][C]0.5379[/C][C]0.296322[/C][/ROW]
[ROW][C]44[/C][C]-0.038546[/C][C]-0.2961[/C][C]0.615896[/C][/ROW]
[ROW][C]45[/C][C]-0.050108[/C][C]-0.3849[/C][C]0.649147[/C][/ROW]
[ROW][C]46[/C][C]-0.109381[/C][C]-0.8402[/C][C]0.797897[/C][/ROW]
[ROW][C]47[/C][C]0.0767[/C][C]0.5891[/C][C]0.279006[/C][/ROW]
[ROW][C]48[/C][C]-0.09123[/C][C]-0.7008[/C][C]0.756894[/C][/ROW]
[ROW][C]49[/C][C]0.014724[/C][C]0.1131[/C][C]0.455168[/C][/ROW]
[ROW][C]50[/C][C]-0.095708[/C][C]-0.7351[/C][C]0.767419[/C][/ROW]
[ROW][C]51[/C][C]-0.172113[/C][C]-1.322[/C][C]0.904369[/C][/ROW]
[ROW][C]52[/C][C]0.027069[/C][C]0.2079[/C][C]0.418003[/C][/ROW]
[ROW][C]53[/C][C]0.006669[/C][C]0.0512[/C][C]0.479658[/C][/ROW]
[ROW][C]54[/C][C]-0.075045[/C][C]-0.5764[/C][C]0.716742[/C][/ROW]
[ROW][C]55[/C][C]0.079584[/C][C]0.6113[/C][C]0.271675[/C][/ROW]
[ROW][C]56[/C][C]0.00574[/C][C]0.0441[/C][C]0.482491[/C][/ROW]
[ROW][C]57[/C][C]0.032046[/C][C]0.2461[/C][C]0.403211[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7498&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7498&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
0-0.122329-0.93960.824379
1-0.296355-2.27630.986765
2-0.114765-0.88150.809196
3-0.201693-1.54920.936664
40.123920.95180.172529
50.0019180.01470.494148
6-0.127041-0.97580.833431
7-0.002913-0.02240.508888
8-0.143837-1.10480.863142
90.273162.09820.02009
100.2918542.24180.014375
11-0.259259-1.99140.974464
12-0.118298-0.90870.816387
130.0800870.61520.270408
14-0.06246-0.47980.683416
150.0285480.21930.413594
16-0.140086-1.0760.85685
17-0.032118-0.24670.597003
18-0.105145-0.80760.788728
190.0213860.16430.435042
20-0.08677-0.66650.746153
210.1056670.81160.210129
220.1271410.97660.16638
23-0.183444-1.40910.917967
24-0.056598-0.43470.667331
25-0.068366-0.52510.699268
260.004440.03410.486453
270.0189610.14560.442351
28-0.084633-0.65010.740918
29-0.119679-0.91930.819152
300.0117740.09040.464124
310.0710620.54580.293618
32-0.016988-0.13050.551687
330.0685480.52650.300247
34-0.015568-0.11960.54739
35-0.048648-0.37370.645007
36-0.143425-1.10170.86246
37-0.003179-0.02440.509699
38-0.068457-0.52580.699511
39-0.018877-0.1450.557398
400.1406441.08030.142201
410.0399980.30720.379876
42-0.057661-0.44290.670272
430.0700330.53790.296322
44-0.038546-0.29610.615896
45-0.050108-0.38490.649147
46-0.109381-0.84020.797897
470.07670.58910.279006
48-0.09123-0.70080.756894
490.0147240.11310.455168
50-0.095708-0.73510.767419
51-0.172113-1.3220.904369
520.0270690.20790.418003
530.0066690.05120.479658
54-0.075045-0.57640.716742
550.0795840.61130.271675
560.005740.04410.482491
570.0320460.24610.403211
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 0.5 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.5 ; 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')