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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 09:16:07 -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/t1196352322dkdcjpjv06s3iol.htm/, Retrieved Fri, 03 May 2024 09:11:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7532, Retrieved Fri, 03 May 2024 09:11:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [workshop3] [2007-11-29 16:16:07] [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=7532&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=7532&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7532&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
0110.2470
10.2726642.7940.003095
2-0.166103-1.70210.954148
3-0.30185-3.0930.998731
4-0.286593-2.93670.997962
50.0237090.24290.404262
60.1736161.7790.039064
70.0394180.40390.34355
8-0.283144-2.90140.997736
9-0.288364-2.95490.998069
10-0.165673-1.69760.953732
110.2502572.56440.005875
120.8073668.2730
130.2294892.35160.01028
14-0.115106-1.17950.879564
15-0.283846-2.90860.997784
16-0.270592-2.77270.996711
170.0057820.05930.476432
180.1418281.45330.07456
190.0367270.37630.35371
20-0.256722-2.63060.995098
21-0.241313-2.47270.992493
22-0.139715-1.43170.922393
230.2373662.43230.008348
240.6785556.95310
250.1653591.69440.046575
26-0.112294-1.15070.87376
27-0.255178-2.61480.994879
28-0.245925-2.520.993379
290.003780.03870.48459
300.1062791.0890.139317
310.0202730.20770.417917
32-0.240523-2.46460.992331
33-0.223276-2.28790.987926
34-0.140618-1.44090.923707
350.2188572.24260.013511
360.5836065.98020
370.1184761.2140.113732
38-0.10491-1.0750.857583
39-0.228105-2.33740.989342
40-0.197384-2.02260.977171
410.0001050.00110.49957
420.096390.98770.162784
430.0147580.15120.440044
44-0.222392-2.27880.98765
45-0.188965-1.93630.972241
46-0.122314-1.25330.893567
470.17571.80040.037335

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 10.247 & 0 \tabularnewline
1 & 0.272664 & 2.794 & 0.003095 \tabularnewline
2 & -0.166103 & -1.7021 & 0.954148 \tabularnewline
3 & -0.30185 & -3.093 & 0.998731 \tabularnewline
4 & -0.286593 & -2.9367 & 0.997962 \tabularnewline
5 & 0.023709 & 0.2429 & 0.404262 \tabularnewline
6 & 0.173616 & 1.779 & 0.039064 \tabularnewline
7 & 0.039418 & 0.4039 & 0.34355 \tabularnewline
8 & -0.283144 & -2.9014 & 0.997736 \tabularnewline
9 & -0.288364 & -2.9549 & 0.998069 \tabularnewline
10 & -0.165673 & -1.6976 & 0.953732 \tabularnewline
11 & 0.250257 & 2.5644 & 0.005875 \tabularnewline
12 & 0.807366 & 8.273 & 0 \tabularnewline
13 & 0.229489 & 2.3516 & 0.01028 \tabularnewline
14 & -0.115106 & -1.1795 & 0.879564 \tabularnewline
15 & -0.283846 & -2.9086 & 0.997784 \tabularnewline
16 & -0.270592 & -2.7727 & 0.996711 \tabularnewline
17 & 0.005782 & 0.0593 & 0.476432 \tabularnewline
18 & 0.141828 & 1.4533 & 0.07456 \tabularnewline
19 & 0.036727 & 0.3763 & 0.35371 \tabularnewline
20 & -0.256722 & -2.6306 & 0.995098 \tabularnewline
21 & -0.241313 & -2.4727 & 0.992493 \tabularnewline
22 & -0.139715 & -1.4317 & 0.922393 \tabularnewline
23 & 0.237366 & 2.4323 & 0.008348 \tabularnewline
24 & 0.678555 & 6.9531 & 0 \tabularnewline
25 & 0.165359 & 1.6944 & 0.046575 \tabularnewline
26 & -0.112294 & -1.1507 & 0.87376 \tabularnewline
27 & -0.255178 & -2.6148 & 0.994879 \tabularnewline
28 & -0.245925 & -2.52 & 0.993379 \tabularnewline
29 & 0.00378 & 0.0387 & 0.48459 \tabularnewline
30 & 0.106279 & 1.089 & 0.139317 \tabularnewline
31 & 0.020273 & 0.2077 & 0.417917 \tabularnewline
32 & -0.240523 & -2.4646 & 0.992331 \tabularnewline
33 & -0.223276 & -2.2879 & 0.987926 \tabularnewline
34 & -0.140618 & -1.4409 & 0.923707 \tabularnewline
35 & 0.218857 & 2.2426 & 0.013511 \tabularnewline
36 & 0.583606 & 5.9802 & 0 \tabularnewline
37 & 0.118476 & 1.214 & 0.113732 \tabularnewline
38 & -0.10491 & -1.075 & 0.857583 \tabularnewline
39 & -0.228105 & -2.3374 & 0.989342 \tabularnewline
40 & -0.197384 & -2.0226 & 0.977171 \tabularnewline
41 & 0.000105 & 0.0011 & 0.49957 \tabularnewline
42 & 0.09639 & 0.9877 & 0.162784 \tabularnewline
43 & 0.014758 & 0.1512 & 0.440044 \tabularnewline
44 & -0.222392 & -2.2788 & 0.98765 \tabularnewline
45 & -0.188965 & -1.9363 & 0.972241 \tabularnewline
46 & -0.122314 & -1.2533 & 0.893567 \tabularnewline
47 & 0.1757 & 1.8004 & 0.037335 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7532&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]10.247[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.272664[/C][C]2.794[/C][C]0.003095[/C][/ROW]
[ROW][C]2[/C][C]-0.166103[/C][C]-1.7021[/C][C]0.954148[/C][/ROW]
[ROW][C]3[/C][C]-0.30185[/C][C]-3.093[/C][C]0.998731[/C][/ROW]
[ROW][C]4[/C][C]-0.286593[/C][C]-2.9367[/C][C]0.997962[/C][/ROW]
[ROW][C]5[/C][C]0.023709[/C][C]0.2429[/C][C]0.404262[/C][/ROW]
[ROW][C]6[/C][C]0.173616[/C][C]1.779[/C][C]0.039064[/C][/ROW]
[ROW][C]7[/C][C]0.039418[/C][C]0.4039[/C][C]0.34355[/C][/ROW]
[ROW][C]8[/C][C]-0.283144[/C][C]-2.9014[/C][C]0.997736[/C][/ROW]
[ROW][C]9[/C][C]-0.288364[/C][C]-2.9549[/C][C]0.998069[/C][/ROW]
[ROW][C]10[/C][C]-0.165673[/C][C]-1.6976[/C][C]0.953732[/C][/ROW]
[ROW][C]11[/C][C]0.250257[/C][C]2.5644[/C][C]0.005875[/C][/ROW]
[ROW][C]12[/C][C]0.807366[/C][C]8.273[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.229489[/C][C]2.3516[/C][C]0.01028[/C][/ROW]
[ROW][C]14[/C][C]-0.115106[/C][C]-1.1795[/C][C]0.879564[/C][/ROW]
[ROW][C]15[/C][C]-0.283846[/C][C]-2.9086[/C][C]0.997784[/C][/ROW]
[ROW][C]16[/C][C]-0.270592[/C][C]-2.7727[/C][C]0.996711[/C][/ROW]
[ROW][C]17[/C][C]0.005782[/C][C]0.0593[/C][C]0.476432[/C][/ROW]
[ROW][C]18[/C][C]0.141828[/C][C]1.4533[/C][C]0.07456[/C][/ROW]
[ROW][C]19[/C][C]0.036727[/C][C]0.3763[/C][C]0.35371[/C][/ROW]
[ROW][C]20[/C][C]-0.256722[/C][C]-2.6306[/C][C]0.995098[/C][/ROW]
[ROW][C]21[/C][C]-0.241313[/C][C]-2.4727[/C][C]0.992493[/C][/ROW]
[ROW][C]22[/C][C]-0.139715[/C][C]-1.4317[/C][C]0.922393[/C][/ROW]
[ROW][C]23[/C][C]0.237366[/C][C]2.4323[/C][C]0.008348[/C][/ROW]
[ROW][C]24[/C][C]0.678555[/C][C]6.9531[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.165359[/C][C]1.6944[/C][C]0.046575[/C][/ROW]
[ROW][C]26[/C][C]-0.112294[/C][C]-1.1507[/C][C]0.87376[/C][/ROW]
[ROW][C]27[/C][C]-0.255178[/C][C]-2.6148[/C][C]0.994879[/C][/ROW]
[ROW][C]28[/C][C]-0.245925[/C][C]-2.52[/C][C]0.993379[/C][/ROW]
[ROW][C]29[/C][C]0.00378[/C][C]0.0387[/C][C]0.48459[/C][/ROW]
[ROW][C]30[/C][C]0.106279[/C][C]1.089[/C][C]0.139317[/C][/ROW]
[ROW][C]31[/C][C]0.020273[/C][C]0.2077[/C][C]0.417917[/C][/ROW]
[ROW][C]32[/C][C]-0.240523[/C][C]-2.4646[/C][C]0.992331[/C][/ROW]
[ROW][C]33[/C][C]-0.223276[/C][C]-2.2879[/C][C]0.987926[/C][/ROW]
[ROW][C]34[/C][C]-0.140618[/C][C]-1.4409[/C][C]0.923707[/C][/ROW]
[ROW][C]35[/C][C]0.218857[/C][C]2.2426[/C][C]0.013511[/C][/ROW]
[ROW][C]36[/C][C]0.583606[/C][C]5.9802[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.118476[/C][C]1.214[/C][C]0.113732[/C][/ROW]
[ROW][C]38[/C][C]-0.10491[/C][C]-1.075[/C][C]0.857583[/C][/ROW]
[ROW][C]39[/C][C]-0.228105[/C][C]-2.3374[/C][C]0.989342[/C][/ROW]
[ROW][C]40[/C][C]-0.197384[/C][C]-2.0226[/C][C]0.977171[/C][/ROW]
[ROW][C]41[/C][C]0.000105[/C][C]0.0011[/C][C]0.49957[/C][/ROW]
[ROW][C]42[/C][C]0.09639[/C][C]0.9877[/C][C]0.162784[/C][/ROW]
[ROW][C]43[/C][C]0.014758[/C][C]0.1512[/C][C]0.440044[/C][/ROW]
[ROW][C]44[/C][C]-0.222392[/C][C]-2.2788[/C][C]0.98765[/C][/ROW]
[ROW][C]45[/C][C]-0.188965[/C][C]-1.9363[/C][C]0.972241[/C][/ROW]
[ROW][C]46[/C][C]-0.122314[/C][C]-1.2533[/C][C]0.893567[/C][/ROW]
[ROW][C]47[/C][C]0.1757[/C][C]1.8004[/C][C]0.037335[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7532&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7532&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
0110.2470
10.2726642.7940.003095
2-0.166103-1.70210.954148
3-0.30185-3.0930.998731
4-0.286593-2.93670.997962
50.0237090.24290.404262
60.1736161.7790.039064
70.0394180.40390.34355
8-0.283144-2.90140.997736
9-0.288364-2.95490.998069
10-0.165673-1.69760.953732
110.2502572.56440.005875
120.8073668.2730
130.2294892.35160.01028
14-0.115106-1.17950.879564
15-0.283846-2.90860.997784
16-0.270592-2.77270.996711
170.0057820.05930.476432
180.1418281.45330.07456
190.0367270.37630.35371
20-0.256722-2.63060.995098
21-0.241313-2.47270.992493
22-0.139715-1.43170.922393
230.2373662.43230.008348
240.6785556.95310
250.1653591.69440.046575
26-0.112294-1.15070.87376
27-0.255178-2.61480.994879
28-0.245925-2.520.993379
290.003780.03870.48459
300.1062791.0890.139317
310.0202730.20770.417917
32-0.240523-2.46460.992331
33-0.223276-2.28790.987926
34-0.140618-1.44090.923707
350.2188572.24260.013511
360.5836065.98020
370.1184761.2140.113732
38-0.10491-1.0750.857583
39-0.228105-2.33740.989342
40-0.197384-2.02260.977171
410.0001050.00110.49957
420.096390.98770.162784
430.0147580.15120.440044
44-0.222392-2.27880.98765
45-0.188965-1.93630.972241
46-0.122314-1.25330.893567
470.17571.80040.037335







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2726642.7940.003095
1-0.259761-2.66180.995502
2-0.201539-2.06520.979315
3-0.211812-2.17040.983886
40.0755240.77390.220366
50.0106210.10880.456772
6-0.121591-1.24590.892219
7-0.347468-3.56050.999721
8-0.157981-1.61880.945757
9-0.227937-2.33570.989295
100.1397991.43250.077483
110.6894497.06480
12-0.149209-1.52890.935357
130.1447791.48350.070462
14-0.016783-0.1720.568104
150.014220.14570.442214
16-0.039571-0.40550.657026
17-0.081819-0.83840.798144
18-0.019951-0.20440.580795
19-0.007619-0.07810.53104
200.0471380.4830.315044
210.0215780.22110.412719
220.0284620.29170.385564
230.0784790.80420.211557
24-0.125628-1.28730.899591
25-0.046278-0.47420.681832
260.0104380.1070.457514
27-0.053335-0.54650.707066
280.0184490.1890.425213
29-0.079455-0.81420.791304
300.0014830.01520.493951
31-0.030588-0.31340.622714
32-0.089017-0.91220.818111
33-0.092757-0.95050.827974
34-0.053982-0.55320.709333
350.003810.0390.484467
36-0.075346-0.77210.779096
37-0.029251-0.29970.617515
380.0055420.05680.477409
390.039780.40760.342188
40-0.067705-0.69380.75532
410.0161060.1650.434614
42-0.047227-0.48390.685281
43-0.000821-0.00840.503348
44-0.00125-0.01280.505099
45-0.00745-0.07630.530355
46-0.099225-1.01680.844195
47-0.02762-0.2830.611141

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.272664 & 2.794 & 0.003095 \tabularnewline
1 & -0.259761 & -2.6618 & 0.995502 \tabularnewline
2 & -0.201539 & -2.0652 & 0.979315 \tabularnewline
3 & -0.211812 & -2.1704 & 0.983886 \tabularnewline
4 & 0.075524 & 0.7739 & 0.220366 \tabularnewline
5 & 0.010621 & 0.1088 & 0.456772 \tabularnewline
6 & -0.121591 & -1.2459 & 0.892219 \tabularnewline
7 & -0.347468 & -3.5605 & 0.999721 \tabularnewline
8 & -0.157981 & -1.6188 & 0.945757 \tabularnewline
9 & -0.227937 & -2.3357 & 0.989295 \tabularnewline
10 & 0.139799 & 1.4325 & 0.077483 \tabularnewline
11 & 0.689449 & 7.0648 & 0 \tabularnewline
12 & -0.149209 & -1.5289 & 0.935357 \tabularnewline
13 & 0.144779 & 1.4835 & 0.070462 \tabularnewline
14 & -0.016783 & -0.172 & 0.568104 \tabularnewline
15 & 0.01422 & 0.1457 & 0.442214 \tabularnewline
16 & -0.039571 & -0.4055 & 0.657026 \tabularnewline
17 & -0.081819 & -0.8384 & 0.798144 \tabularnewline
18 & -0.019951 & -0.2044 & 0.580795 \tabularnewline
19 & -0.007619 & -0.0781 & 0.53104 \tabularnewline
20 & 0.047138 & 0.483 & 0.315044 \tabularnewline
21 & 0.021578 & 0.2211 & 0.412719 \tabularnewline
22 & 0.028462 & 0.2917 & 0.385564 \tabularnewline
23 & 0.078479 & 0.8042 & 0.211557 \tabularnewline
24 & -0.125628 & -1.2873 & 0.899591 \tabularnewline
25 & -0.046278 & -0.4742 & 0.681832 \tabularnewline
26 & 0.010438 & 0.107 & 0.457514 \tabularnewline
27 & -0.053335 & -0.5465 & 0.707066 \tabularnewline
28 & 0.018449 & 0.189 & 0.425213 \tabularnewline
29 & -0.079455 & -0.8142 & 0.791304 \tabularnewline
30 & 0.001483 & 0.0152 & 0.493951 \tabularnewline
31 & -0.030588 & -0.3134 & 0.622714 \tabularnewline
32 & -0.089017 & -0.9122 & 0.818111 \tabularnewline
33 & -0.092757 & -0.9505 & 0.827974 \tabularnewline
34 & -0.053982 & -0.5532 & 0.709333 \tabularnewline
35 & 0.00381 & 0.039 & 0.484467 \tabularnewline
36 & -0.075346 & -0.7721 & 0.779096 \tabularnewline
37 & -0.029251 & -0.2997 & 0.617515 \tabularnewline
38 & 0.005542 & 0.0568 & 0.477409 \tabularnewline
39 & 0.03978 & 0.4076 & 0.342188 \tabularnewline
40 & -0.067705 & -0.6938 & 0.75532 \tabularnewline
41 & 0.016106 & 0.165 & 0.434614 \tabularnewline
42 & -0.047227 & -0.4839 & 0.685281 \tabularnewline
43 & -0.000821 & -0.0084 & 0.503348 \tabularnewline
44 & -0.00125 & -0.0128 & 0.505099 \tabularnewline
45 & -0.00745 & -0.0763 & 0.530355 \tabularnewline
46 & -0.099225 & -1.0168 & 0.844195 \tabularnewline
47 & -0.02762 & -0.283 & 0.611141 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7532&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]0.272664[/C][C]2.794[/C][C]0.003095[/C][/ROW]
[ROW][C]1[/C][C]-0.259761[/C][C]-2.6618[/C][C]0.995502[/C][/ROW]
[ROW][C]2[/C][C]-0.201539[/C][C]-2.0652[/C][C]0.979315[/C][/ROW]
[ROW][C]3[/C][C]-0.211812[/C][C]-2.1704[/C][C]0.983886[/C][/ROW]
[ROW][C]4[/C][C]0.075524[/C][C]0.7739[/C][C]0.220366[/C][/ROW]
[ROW][C]5[/C][C]0.010621[/C][C]0.1088[/C][C]0.456772[/C][/ROW]
[ROW][C]6[/C][C]-0.121591[/C][C]-1.2459[/C][C]0.892219[/C][/ROW]
[ROW][C]7[/C][C]-0.347468[/C][C]-3.5605[/C][C]0.999721[/C][/ROW]
[ROW][C]8[/C][C]-0.157981[/C][C]-1.6188[/C][C]0.945757[/C][/ROW]
[ROW][C]9[/C][C]-0.227937[/C][C]-2.3357[/C][C]0.989295[/C][/ROW]
[ROW][C]10[/C][C]0.139799[/C][C]1.4325[/C][C]0.077483[/C][/ROW]
[ROW][C]11[/C][C]0.689449[/C][C]7.0648[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]-0.149209[/C][C]-1.5289[/C][C]0.935357[/C][/ROW]
[ROW][C]13[/C][C]0.144779[/C][C]1.4835[/C][C]0.070462[/C][/ROW]
[ROW][C]14[/C][C]-0.016783[/C][C]-0.172[/C][C]0.568104[/C][/ROW]
[ROW][C]15[/C][C]0.01422[/C][C]0.1457[/C][C]0.442214[/C][/ROW]
[ROW][C]16[/C][C]-0.039571[/C][C]-0.4055[/C][C]0.657026[/C][/ROW]
[ROW][C]17[/C][C]-0.081819[/C][C]-0.8384[/C][C]0.798144[/C][/ROW]
[ROW][C]18[/C][C]-0.019951[/C][C]-0.2044[/C][C]0.580795[/C][/ROW]
[ROW][C]19[/C][C]-0.007619[/C][C]-0.0781[/C][C]0.53104[/C][/ROW]
[ROW][C]20[/C][C]0.047138[/C][C]0.483[/C][C]0.315044[/C][/ROW]
[ROW][C]21[/C][C]0.021578[/C][C]0.2211[/C][C]0.412719[/C][/ROW]
[ROW][C]22[/C][C]0.028462[/C][C]0.2917[/C][C]0.385564[/C][/ROW]
[ROW][C]23[/C][C]0.078479[/C][C]0.8042[/C][C]0.211557[/C][/ROW]
[ROW][C]24[/C][C]-0.125628[/C][C]-1.2873[/C][C]0.899591[/C][/ROW]
[ROW][C]25[/C][C]-0.046278[/C][C]-0.4742[/C][C]0.681832[/C][/ROW]
[ROW][C]26[/C][C]0.010438[/C][C]0.107[/C][C]0.457514[/C][/ROW]
[ROW][C]27[/C][C]-0.053335[/C][C]-0.5465[/C][C]0.707066[/C][/ROW]
[ROW][C]28[/C][C]0.018449[/C][C]0.189[/C][C]0.425213[/C][/ROW]
[ROW][C]29[/C][C]-0.079455[/C][C]-0.8142[/C][C]0.791304[/C][/ROW]
[ROW][C]30[/C][C]0.001483[/C][C]0.0152[/C][C]0.493951[/C][/ROW]
[ROW][C]31[/C][C]-0.030588[/C][C]-0.3134[/C][C]0.622714[/C][/ROW]
[ROW][C]32[/C][C]-0.089017[/C][C]-0.9122[/C][C]0.818111[/C][/ROW]
[ROW][C]33[/C][C]-0.092757[/C][C]-0.9505[/C][C]0.827974[/C][/ROW]
[ROW][C]34[/C][C]-0.053982[/C][C]-0.5532[/C][C]0.709333[/C][/ROW]
[ROW][C]35[/C][C]0.00381[/C][C]0.039[/C][C]0.484467[/C][/ROW]
[ROW][C]36[/C][C]-0.075346[/C][C]-0.7721[/C][C]0.779096[/C][/ROW]
[ROW][C]37[/C][C]-0.029251[/C][C]-0.2997[/C][C]0.617515[/C][/ROW]
[ROW][C]38[/C][C]0.005542[/C][C]0.0568[/C][C]0.477409[/C][/ROW]
[ROW][C]39[/C][C]0.03978[/C][C]0.4076[/C][C]0.342188[/C][/ROW]
[ROW][C]40[/C][C]-0.067705[/C][C]-0.6938[/C][C]0.75532[/C][/ROW]
[ROW][C]41[/C][C]0.016106[/C][C]0.165[/C][C]0.434614[/C][/ROW]
[ROW][C]42[/C][C]-0.047227[/C][C]-0.4839[/C][C]0.685281[/C][/ROW]
[ROW][C]43[/C][C]-0.000821[/C][C]-0.0084[/C][C]0.503348[/C][/ROW]
[ROW][C]44[/C][C]-0.00125[/C][C]-0.0128[/C][C]0.505099[/C][/ROW]
[ROW][C]45[/C][C]-0.00745[/C][C]-0.0763[/C][C]0.530355[/C][/ROW]
[ROW][C]46[/C][C]-0.099225[/C][C]-1.0168[/C][C]0.844195[/C][/ROW]
[ROW][C]47[/C][C]-0.02762[/C][C]-0.283[/C][C]0.611141[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7532&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7532&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
00.2726642.7940.003095
1-0.259761-2.66180.995502
2-0.201539-2.06520.979315
3-0.211812-2.17040.983886
40.0755240.77390.220366
50.0106210.10880.456772
6-0.121591-1.24590.892219
7-0.347468-3.56050.999721
8-0.157981-1.61880.945757
9-0.227937-2.33570.989295
100.1397991.43250.077483
110.6894497.06480
12-0.149209-1.52890.935357
130.1447791.48350.070462
14-0.016783-0.1720.568104
150.014220.14570.442214
16-0.039571-0.40550.657026
17-0.081819-0.83840.798144
18-0.019951-0.20440.580795
19-0.007619-0.07810.53104
200.0471380.4830.315044
210.0215780.22110.412719
220.0284620.29170.385564
230.0784790.80420.211557
24-0.125628-1.28730.899591
25-0.046278-0.47420.681832
260.0104380.1070.457514
27-0.053335-0.54650.707066
280.0184490.1890.425213
29-0.079455-0.81420.791304
300.0014830.01520.493951
31-0.030588-0.31340.622714
32-0.089017-0.91220.818111
33-0.092757-0.95050.827974
34-0.053982-0.55320.709333
350.003810.0390.484467
36-0.075346-0.77210.779096
37-0.029251-0.29970.617515
380.0055420.05680.477409
390.039780.40760.342188
40-0.067705-0.69380.75532
410.0161060.1650.434614
42-0.047227-0.48390.685281
43-0.000821-0.00840.503348
44-0.00125-0.01280.505099
45-0.00745-0.07630.530355
46-0.099225-1.01680.844195
47-0.02762-0.2830.611141



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')