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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, 13 Dec 2007 07:00:51 -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/13/t11975535368u89m80og319x5s.htm/, Retrieved Sun, 05 May 2024 16:30:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3539, Retrieved Sun, 05 May 2024 16:30:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelation p...] [2007-12-13 14:00:51] [05eb25e9a99d8c3f4eb6a6fe65650e56] [Current]
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Dataseries X:
39892
32194
21629
59968
45694
55756
48554
41052
49822
39191
31994
35735
38930
33658
23849
58972
59249
63955
53785
52760
44795
37348
32370
32717
40974
33591
21124
58608
46865
51378
46235
47206
45382
41227
33795
31295
42625
33625
21538
56421
53152
53536
52408
41454
38271
35306
26414
31917
38030
27534
18387
50556
43901
48572
43899
37532
40357
35489
29027
34485
42598
30306
26451
47460
50104
61465
53726
39477
43895
31481
29896
33842
39120
33702
25094
51442
45594
52518
48564
41745
49585
32747
33379
35645
37034
35681
20972
58552
54955
64540
51570
51145
46641
35704
33253
35193
41668
34865
21210
56126
49321
59723
48103
47472
50497
40059











Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 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=3539&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]2 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=3539&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3539&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0110.2470
1-0.353209-3.61930.999772
2-0.012486-0.12790.550781
30.0097650.10010.460245
4-0.052063-0.53350.702589
50.0459330.47070.319425
6-0.2622-2.68670.995805
70.0069120.07080.471833
8-0.003138-0.03220.512795
90.0352860.36160.3592
10-0.058591-0.60040.725226
11-0.247437-2.53550.993648
120.7771217.96310
13-0.261647-2.68110.995738
14-0.003528-0.03620.514385
15-0.011318-0.1160.546053
16-0.0194-0.19880.578593
170.0212250.21750.414122
18-0.225358-2.30920.988556
190.0315690.32350.373485
20-0.032385-0.33180.629666
210.0524540.53750.296031
22-0.07644-0.78330.782386
23-0.184663-1.89220.969393
240.6492656.6530
25-0.211557-2.16780.983784
26-0.013366-0.1370.554336
27-0.00338-0.03460.513781
28-0.031713-0.3250.627072
290.0362530.37150.355511
30-0.196933-2.0180.976927
310.0170530.17470.43081
32-0.005929-0.06080.524166
330.0258780.26520.395699
34-0.05389-0.55220.709011
35-0.158764-1.62690.946617
360.5300235.43110
37-0.149671-1.53370.935941
38-0.033228-0.34050.632913
390.0131990.13530.446336
40-0.047482-0.48650.686202
410.034590.35440.36186
42-0.155033-1.58860.942423
43-0.006498-0.06660.526482
440.0285070.29210.385388
450.0086180.08830.464898
46-0.047076-0.48240.684732
47-0.152602-1.56370.939553

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 10.247 & 0 \tabularnewline
1 & -0.353209 & -3.6193 & 0.999772 \tabularnewline
2 & -0.012486 & -0.1279 & 0.550781 \tabularnewline
3 & 0.009765 & 0.1001 & 0.460245 \tabularnewline
4 & -0.052063 & -0.5335 & 0.702589 \tabularnewline
5 & 0.045933 & 0.4707 & 0.319425 \tabularnewline
6 & -0.2622 & -2.6867 & 0.995805 \tabularnewline
7 & 0.006912 & 0.0708 & 0.471833 \tabularnewline
8 & -0.003138 & -0.0322 & 0.512795 \tabularnewline
9 & 0.035286 & 0.3616 & 0.3592 \tabularnewline
10 & -0.058591 & -0.6004 & 0.725226 \tabularnewline
11 & -0.247437 & -2.5355 & 0.993648 \tabularnewline
12 & 0.777121 & 7.9631 & 0 \tabularnewline
13 & -0.261647 & -2.6811 & 0.995738 \tabularnewline
14 & -0.003528 & -0.0362 & 0.514385 \tabularnewline
15 & -0.011318 & -0.116 & 0.546053 \tabularnewline
16 & -0.0194 & -0.1988 & 0.578593 \tabularnewline
17 & 0.021225 & 0.2175 & 0.414122 \tabularnewline
18 & -0.225358 & -2.3092 & 0.988556 \tabularnewline
19 & 0.031569 & 0.3235 & 0.373485 \tabularnewline
20 & -0.032385 & -0.3318 & 0.629666 \tabularnewline
21 & 0.052454 & 0.5375 & 0.296031 \tabularnewline
22 & -0.07644 & -0.7833 & 0.782386 \tabularnewline
23 & -0.184663 & -1.8922 & 0.969393 \tabularnewline
24 & 0.649265 & 6.653 & 0 \tabularnewline
25 & -0.211557 & -2.1678 & 0.983784 \tabularnewline
26 & -0.013366 & -0.137 & 0.554336 \tabularnewline
27 & -0.00338 & -0.0346 & 0.513781 \tabularnewline
28 & -0.031713 & -0.325 & 0.627072 \tabularnewline
29 & 0.036253 & 0.3715 & 0.355511 \tabularnewline
30 & -0.196933 & -2.018 & 0.976927 \tabularnewline
31 & 0.017053 & 0.1747 & 0.43081 \tabularnewline
32 & -0.005929 & -0.0608 & 0.524166 \tabularnewline
33 & 0.025878 & 0.2652 & 0.395699 \tabularnewline
34 & -0.05389 & -0.5522 & 0.709011 \tabularnewline
35 & -0.158764 & -1.6269 & 0.946617 \tabularnewline
36 & 0.530023 & 5.4311 & 0 \tabularnewline
37 & -0.149671 & -1.5337 & 0.935941 \tabularnewline
38 & -0.033228 & -0.3405 & 0.632913 \tabularnewline
39 & 0.013199 & 0.1353 & 0.446336 \tabularnewline
40 & -0.047482 & -0.4865 & 0.686202 \tabularnewline
41 & 0.03459 & 0.3544 & 0.36186 \tabularnewline
42 & -0.155033 & -1.5886 & 0.942423 \tabularnewline
43 & -0.006498 & -0.0666 & 0.526482 \tabularnewline
44 & 0.028507 & 0.2921 & 0.385388 \tabularnewline
45 & 0.008618 & 0.0883 & 0.464898 \tabularnewline
46 & -0.047076 & -0.4824 & 0.684732 \tabularnewline
47 & -0.152602 & -1.5637 & 0.939553 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3539&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]-0.353209[/C][C]-3.6193[/C][C]0.999772[/C][/ROW]
[ROW][C]2[/C][C]-0.012486[/C][C]-0.1279[/C][C]0.550781[/C][/ROW]
[ROW][C]3[/C][C]0.009765[/C][C]0.1001[/C][C]0.460245[/C][/ROW]
[ROW][C]4[/C][C]-0.052063[/C][C]-0.5335[/C][C]0.702589[/C][/ROW]
[ROW][C]5[/C][C]0.045933[/C][C]0.4707[/C][C]0.319425[/C][/ROW]
[ROW][C]6[/C][C]-0.2622[/C][C]-2.6867[/C][C]0.995805[/C][/ROW]
[ROW][C]7[/C][C]0.006912[/C][C]0.0708[/C][C]0.471833[/C][/ROW]
[ROW][C]8[/C][C]-0.003138[/C][C]-0.0322[/C][C]0.512795[/C][/ROW]
[ROW][C]9[/C][C]0.035286[/C][C]0.3616[/C][C]0.3592[/C][/ROW]
[ROW][C]10[/C][C]-0.058591[/C][C]-0.6004[/C][C]0.725226[/C][/ROW]
[ROW][C]11[/C][C]-0.247437[/C][C]-2.5355[/C][C]0.993648[/C][/ROW]
[ROW][C]12[/C][C]0.777121[/C][C]7.9631[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.261647[/C][C]-2.6811[/C][C]0.995738[/C][/ROW]
[ROW][C]14[/C][C]-0.003528[/C][C]-0.0362[/C][C]0.514385[/C][/ROW]
[ROW][C]15[/C][C]-0.011318[/C][C]-0.116[/C][C]0.546053[/C][/ROW]
[ROW][C]16[/C][C]-0.0194[/C][C]-0.1988[/C][C]0.578593[/C][/ROW]
[ROW][C]17[/C][C]0.021225[/C][C]0.2175[/C][C]0.414122[/C][/ROW]
[ROW][C]18[/C][C]-0.225358[/C][C]-2.3092[/C][C]0.988556[/C][/ROW]
[ROW][C]19[/C][C]0.031569[/C][C]0.3235[/C][C]0.373485[/C][/ROW]
[ROW][C]20[/C][C]-0.032385[/C][C]-0.3318[/C][C]0.629666[/C][/ROW]
[ROW][C]21[/C][C]0.052454[/C][C]0.5375[/C][C]0.296031[/C][/ROW]
[ROW][C]22[/C][C]-0.07644[/C][C]-0.7833[/C][C]0.782386[/C][/ROW]
[ROW][C]23[/C][C]-0.184663[/C][C]-1.8922[/C][C]0.969393[/C][/ROW]
[ROW][C]24[/C][C]0.649265[/C][C]6.653[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.211557[/C][C]-2.1678[/C][C]0.983784[/C][/ROW]
[ROW][C]26[/C][C]-0.013366[/C][C]-0.137[/C][C]0.554336[/C][/ROW]
[ROW][C]27[/C][C]-0.00338[/C][C]-0.0346[/C][C]0.513781[/C][/ROW]
[ROW][C]28[/C][C]-0.031713[/C][C]-0.325[/C][C]0.627072[/C][/ROW]
[ROW][C]29[/C][C]0.036253[/C][C]0.3715[/C][C]0.355511[/C][/ROW]
[ROW][C]30[/C][C]-0.196933[/C][C]-2.018[/C][C]0.976927[/C][/ROW]
[ROW][C]31[/C][C]0.017053[/C][C]0.1747[/C][C]0.43081[/C][/ROW]
[ROW][C]32[/C][C]-0.005929[/C][C]-0.0608[/C][C]0.524166[/C][/ROW]
[ROW][C]33[/C][C]0.025878[/C][C]0.2652[/C][C]0.395699[/C][/ROW]
[ROW][C]34[/C][C]-0.05389[/C][C]-0.5522[/C][C]0.709011[/C][/ROW]
[ROW][C]35[/C][C]-0.158764[/C][C]-1.6269[/C][C]0.946617[/C][/ROW]
[ROW][C]36[/C][C]0.530023[/C][C]5.4311[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.149671[/C][C]-1.5337[/C][C]0.935941[/C][/ROW]
[ROW][C]38[/C][C]-0.033228[/C][C]-0.3405[/C][C]0.632913[/C][/ROW]
[ROW][C]39[/C][C]0.013199[/C][C]0.1353[/C][C]0.446336[/C][/ROW]
[ROW][C]40[/C][C]-0.047482[/C][C]-0.4865[/C][C]0.686202[/C][/ROW]
[ROW][C]41[/C][C]0.03459[/C][C]0.3544[/C][C]0.36186[/C][/ROW]
[ROW][C]42[/C][C]-0.155033[/C][C]-1.5886[/C][C]0.942423[/C][/ROW]
[ROW][C]43[/C][C]-0.006498[/C][C]-0.0666[/C][C]0.526482[/C][/ROW]
[ROW][C]44[/C][C]0.028507[/C][C]0.2921[/C][C]0.385388[/C][/ROW]
[ROW][C]45[/C][C]0.008618[/C][C]0.0883[/C][C]0.464898[/C][/ROW]
[ROW][C]46[/C][C]-0.047076[/C][C]-0.4824[/C][C]0.684732[/C][/ROW]
[ROW][C]47[/C][C]-0.152602[/C][C]-1.5637[/C][C]0.939553[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3539&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3539&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
1-0.353209-3.61930.999772
2-0.012486-0.12790.550781
30.0097650.10010.460245
4-0.052063-0.53350.702589
50.0459330.47070.319425
6-0.2622-2.68670.995805
70.0069120.07080.471833
8-0.003138-0.03220.512795
90.0352860.36160.3592
10-0.058591-0.60040.725226
11-0.247437-2.53550.993648
120.7771217.96310
13-0.261647-2.68110.995738
14-0.003528-0.03620.514385
15-0.011318-0.1160.546053
16-0.0194-0.19880.578593
170.0212250.21750.414122
18-0.225358-2.30920.988556
190.0315690.32350.373485
20-0.032385-0.33180.629666
210.0524540.53750.296031
22-0.07644-0.78330.782386
23-0.184663-1.89220.969393
240.6492656.6530
25-0.211557-2.16780.983784
26-0.013366-0.1370.554336
27-0.00338-0.03460.513781
28-0.031713-0.3250.627072
290.0362530.37150.355511
30-0.196933-2.0180.976927
310.0170530.17470.43081
32-0.005929-0.06080.524166
330.0258780.26520.395699
34-0.05389-0.55220.709011
35-0.158764-1.62690.946617
360.5300235.43110
37-0.149671-1.53370.935941
38-0.033228-0.34050.632913
390.0131990.13530.446336
40-0.047482-0.48650.686202
410.034590.35440.36186
42-0.155033-1.58860.942423
43-0.006498-0.06660.526482
440.0285070.29210.385388
450.0086180.08830.464898
46-0.047076-0.48240.684732
47-0.152602-1.56370.939553







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.353209-3.61930.999772
1-0.156805-1.60680.944446
2-0.059413-0.60880.728014
3-0.083728-0.8580.803566
4-0.005824-0.05970.523737
5-0.302111-3.09570.998741
6-0.270648-2.77330.996716
7-0.236537-2.42380.991465
8-0.155915-1.59770.943437
9-0.264406-2.70940.996063
10-0.735842-7.54011
110.2614732.67930.004283
120.1175981.2050.115452
13-0.053141-0.54450.706387
14-0.122966-1.260.894774
150.0454220.46540.32129
16-0.098173-1.0060.841629
17-0.086138-0.88270.81028
180.1448971.48480.070302
19-0.014908-0.15280.560562
20-0.135524-1.38870.91607
21-0.044703-0.45810.676075
22-0.037086-0.380.64765
230.024270.24870.402043
240.0477180.4890.312943
25-0.009764-0.10010.539754
26-0.025705-0.26340.603619
27-0.088825-0.91020.817596
280.0284580.29160.385582
290.0568510.58250.280723
30-0.03619-0.37080.644245
310.0342860.35130.363022
32-0.034409-0.35260.637448
330.0434990.44570.328353
34-0.006062-0.06210.524706
35-0.001376-0.01410.50561
360.0210360.21560.414876
37-0.031667-0.32450.626894
380.0136170.13950.44465
39-0.022998-0.23570.59292
40-0.05009-0.51330.69558
41-0.02158-0.22110.58729
42-0.078794-0.80740.78937
43-0.003139-0.03220.512798
44-0.005803-0.05950.523653
45-0.041767-0.4280.665229
46-0.150969-1.5470.93756
47-0.032779-0.33590.631185

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.353209 & -3.6193 & 0.999772 \tabularnewline
1 & -0.156805 & -1.6068 & 0.944446 \tabularnewline
2 & -0.059413 & -0.6088 & 0.728014 \tabularnewline
3 & -0.083728 & -0.858 & 0.803566 \tabularnewline
4 & -0.005824 & -0.0597 & 0.523737 \tabularnewline
5 & -0.302111 & -3.0957 & 0.998741 \tabularnewline
6 & -0.270648 & -2.7733 & 0.996716 \tabularnewline
7 & -0.236537 & -2.4238 & 0.991465 \tabularnewline
8 & -0.155915 & -1.5977 & 0.943437 \tabularnewline
9 & -0.264406 & -2.7094 & 0.996063 \tabularnewline
10 & -0.735842 & -7.5401 & 1 \tabularnewline
11 & 0.261473 & 2.6793 & 0.004283 \tabularnewline
12 & 0.117598 & 1.205 & 0.115452 \tabularnewline
13 & -0.053141 & -0.5445 & 0.706387 \tabularnewline
14 & -0.122966 & -1.26 & 0.894774 \tabularnewline
15 & 0.045422 & 0.4654 & 0.32129 \tabularnewline
16 & -0.098173 & -1.006 & 0.841629 \tabularnewline
17 & -0.086138 & -0.8827 & 0.81028 \tabularnewline
18 & 0.144897 & 1.4848 & 0.070302 \tabularnewline
19 & -0.014908 & -0.1528 & 0.560562 \tabularnewline
20 & -0.135524 & -1.3887 & 0.91607 \tabularnewline
21 & -0.044703 & -0.4581 & 0.676075 \tabularnewline
22 & -0.037086 & -0.38 & 0.64765 \tabularnewline
23 & 0.02427 & 0.2487 & 0.402043 \tabularnewline
24 & 0.047718 & 0.489 & 0.312943 \tabularnewline
25 & -0.009764 & -0.1001 & 0.539754 \tabularnewline
26 & -0.025705 & -0.2634 & 0.603619 \tabularnewline
27 & -0.088825 & -0.9102 & 0.817596 \tabularnewline
28 & 0.028458 & 0.2916 & 0.385582 \tabularnewline
29 & 0.056851 & 0.5825 & 0.280723 \tabularnewline
30 & -0.03619 & -0.3708 & 0.644245 \tabularnewline
31 & 0.034286 & 0.3513 & 0.363022 \tabularnewline
32 & -0.034409 & -0.3526 & 0.637448 \tabularnewline
33 & 0.043499 & 0.4457 & 0.328353 \tabularnewline
34 & -0.006062 & -0.0621 & 0.524706 \tabularnewline
35 & -0.001376 & -0.0141 & 0.50561 \tabularnewline
36 & 0.021036 & 0.2156 & 0.414876 \tabularnewline
37 & -0.031667 & -0.3245 & 0.626894 \tabularnewline
38 & 0.013617 & 0.1395 & 0.44465 \tabularnewline
39 & -0.022998 & -0.2357 & 0.59292 \tabularnewline
40 & -0.05009 & -0.5133 & 0.69558 \tabularnewline
41 & -0.02158 & -0.2211 & 0.58729 \tabularnewline
42 & -0.078794 & -0.8074 & 0.78937 \tabularnewline
43 & -0.003139 & -0.0322 & 0.512798 \tabularnewline
44 & -0.005803 & -0.0595 & 0.523653 \tabularnewline
45 & -0.041767 & -0.428 & 0.665229 \tabularnewline
46 & -0.150969 & -1.547 & 0.93756 \tabularnewline
47 & -0.032779 & -0.3359 & 0.631185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3539&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]-0.353209[/C][C]-3.6193[/C][C]0.999772[/C][/ROW]
[ROW][C]1[/C][C]-0.156805[/C][C]-1.6068[/C][C]0.944446[/C][/ROW]
[ROW][C]2[/C][C]-0.059413[/C][C]-0.6088[/C][C]0.728014[/C][/ROW]
[ROW][C]3[/C][C]-0.083728[/C][C]-0.858[/C][C]0.803566[/C][/ROW]
[ROW][C]4[/C][C]-0.005824[/C][C]-0.0597[/C][C]0.523737[/C][/ROW]
[ROW][C]5[/C][C]-0.302111[/C][C]-3.0957[/C][C]0.998741[/C][/ROW]
[ROW][C]6[/C][C]-0.270648[/C][C]-2.7733[/C][C]0.996716[/C][/ROW]
[ROW][C]7[/C][C]-0.236537[/C][C]-2.4238[/C][C]0.991465[/C][/ROW]
[ROW][C]8[/C][C]-0.155915[/C][C]-1.5977[/C][C]0.943437[/C][/ROW]
[ROW][C]9[/C][C]-0.264406[/C][C]-2.7094[/C][C]0.996063[/C][/ROW]
[ROW][C]10[/C][C]-0.735842[/C][C]-7.5401[/C][C]1[/C][/ROW]
[ROW][C]11[/C][C]0.261473[/C][C]2.6793[/C][C]0.004283[/C][/ROW]
[ROW][C]12[/C][C]0.117598[/C][C]1.205[/C][C]0.115452[/C][/ROW]
[ROW][C]13[/C][C]-0.053141[/C][C]-0.5445[/C][C]0.706387[/C][/ROW]
[ROW][C]14[/C][C]-0.122966[/C][C]-1.26[/C][C]0.894774[/C][/ROW]
[ROW][C]15[/C][C]0.045422[/C][C]0.4654[/C][C]0.32129[/C][/ROW]
[ROW][C]16[/C][C]-0.098173[/C][C]-1.006[/C][C]0.841629[/C][/ROW]
[ROW][C]17[/C][C]-0.086138[/C][C]-0.8827[/C][C]0.81028[/C][/ROW]
[ROW][C]18[/C][C]0.144897[/C][C]1.4848[/C][C]0.070302[/C][/ROW]
[ROW][C]19[/C][C]-0.014908[/C][C]-0.1528[/C][C]0.560562[/C][/ROW]
[ROW][C]20[/C][C]-0.135524[/C][C]-1.3887[/C][C]0.91607[/C][/ROW]
[ROW][C]21[/C][C]-0.044703[/C][C]-0.4581[/C][C]0.676075[/C][/ROW]
[ROW][C]22[/C][C]-0.037086[/C][C]-0.38[/C][C]0.64765[/C][/ROW]
[ROW][C]23[/C][C]0.02427[/C][C]0.2487[/C][C]0.402043[/C][/ROW]
[ROW][C]24[/C][C]0.047718[/C][C]0.489[/C][C]0.312943[/C][/ROW]
[ROW][C]25[/C][C]-0.009764[/C][C]-0.1001[/C][C]0.539754[/C][/ROW]
[ROW][C]26[/C][C]-0.025705[/C][C]-0.2634[/C][C]0.603619[/C][/ROW]
[ROW][C]27[/C][C]-0.088825[/C][C]-0.9102[/C][C]0.817596[/C][/ROW]
[ROW][C]28[/C][C]0.028458[/C][C]0.2916[/C][C]0.385582[/C][/ROW]
[ROW][C]29[/C][C]0.056851[/C][C]0.5825[/C][C]0.280723[/C][/ROW]
[ROW][C]30[/C][C]-0.03619[/C][C]-0.3708[/C][C]0.644245[/C][/ROW]
[ROW][C]31[/C][C]0.034286[/C][C]0.3513[/C][C]0.363022[/C][/ROW]
[ROW][C]32[/C][C]-0.034409[/C][C]-0.3526[/C][C]0.637448[/C][/ROW]
[ROW][C]33[/C][C]0.043499[/C][C]0.4457[/C][C]0.328353[/C][/ROW]
[ROW][C]34[/C][C]-0.006062[/C][C]-0.0621[/C][C]0.524706[/C][/ROW]
[ROW][C]35[/C][C]-0.001376[/C][C]-0.0141[/C][C]0.50561[/C][/ROW]
[ROW][C]36[/C][C]0.021036[/C][C]0.2156[/C][C]0.414876[/C][/ROW]
[ROW][C]37[/C][C]-0.031667[/C][C]-0.3245[/C][C]0.626894[/C][/ROW]
[ROW][C]38[/C][C]0.013617[/C][C]0.1395[/C][C]0.44465[/C][/ROW]
[ROW][C]39[/C][C]-0.022998[/C][C]-0.2357[/C][C]0.59292[/C][/ROW]
[ROW][C]40[/C][C]-0.05009[/C][C]-0.5133[/C][C]0.69558[/C][/ROW]
[ROW][C]41[/C][C]-0.02158[/C][C]-0.2211[/C][C]0.58729[/C][/ROW]
[ROW][C]42[/C][C]-0.078794[/C][C]-0.8074[/C][C]0.78937[/C][/ROW]
[ROW][C]43[/C][C]-0.003139[/C][C]-0.0322[/C][C]0.512798[/C][/ROW]
[ROW][C]44[/C][C]-0.005803[/C][C]-0.0595[/C][C]0.523653[/C][/ROW]
[ROW][C]45[/C][C]-0.041767[/C][C]-0.428[/C][C]0.665229[/C][/ROW]
[ROW][C]46[/C][C]-0.150969[/C][C]-1.547[/C][C]0.93756[/C][/ROW]
[ROW][C]47[/C][C]-0.032779[/C][C]-0.3359[/C][C]0.631185[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3539&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3539&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
0-0.353209-3.61930.999772
1-0.156805-1.60680.944446
2-0.059413-0.60880.728014
3-0.083728-0.8580.803566
4-0.005824-0.05970.523737
5-0.302111-3.09570.998741
6-0.270648-2.77330.996716
7-0.236537-2.42380.991465
8-0.155915-1.59770.943437
9-0.264406-2.70940.996063
10-0.735842-7.54011
110.2614732.67930.004283
120.1175981.2050.115452
13-0.053141-0.54450.706387
14-0.122966-1.260.894774
150.0454220.46540.32129
16-0.098173-1.0060.841629
17-0.086138-0.88270.81028
180.1448971.48480.070302
19-0.014908-0.15280.560562
20-0.135524-1.38870.91607
21-0.044703-0.45810.676075
22-0.037086-0.380.64765
230.024270.24870.402043
240.0477180.4890.312943
25-0.009764-0.10010.539754
26-0.025705-0.26340.603619
27-0.088825-0.91020.817596
280.0284580.29160.385582
290.0568510.58250.280723
30-0.03619-0.37080.644245
310.0342860.35130.363022
32-0.034409-0.35260.637448
330.0434990.44570.328353
34-0.006062-0.06210.524706
35-0.001376-0.01410.50561
360.0210360.21560.414876
37-0.031667-0.32450.626894
380.0136170.13950.44465
39-0.022998-0.23570.59292
40-0.05009-0.51330.69558
41-0.02158-0.22110.58729
42-0.078794-0.80740.78937
43-0.003139-0.03220.512798
44-0.005803-0.05950.523653
45-0.041767-0.4280.665229
46-0.150969-1.5470.93756
47-0.032779-0.33590.631185



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')