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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 13:54:49 -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/t1197578390prdjlx0yquvpgdc.htm/, Retrieved Sun, 05 May 2024 11:08:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3723, Retrieved Sun, 05 May 2024 11:08:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsLise Swinnen Diesel
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper diesel (vrm...] [2007-12-13 20:54:49] [a526d213baffe7453818dd375c9a7100] [Current]
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Dataseries X:
0,76
0,77
0,76
0,77
0,78
0,79
0,78
0,76
0,78
0,76
0,74
0,73
0,72
0,71
0,73
0,75
0,75
0,72
0,72
0,72
0,74
0,78
0,74
0,74
0,75
0,78
0,81
0,75
0,7
0,71
0,71
0,73
0,74
0,74
0,75
0,74
0,74
0,73
0,76
0,8
0,83
0,81
0,83
0,88
0,89
0,93
0,91
0,9
0,86
0,88
0,93
0,98
0,97
1,03
1,06
1,06
1,08
1,09
1,04
1




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=3723&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=3723&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3723&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
017.7460
10.9444177.31540
20.8659826.70790
30.7785476.03060
40.6991285.41541e-06
50.6268114.85534e-06
60.5513294.27063.5e-05
70.4776753.70010.000235
80.4199133.25260.00094
90.3672832.8450.003034
100.3320212.57180.006306
110.299362.31880.011914
120.255661.98030.026128
130.2002181.55090.063095
140.1374631.06480.14562
150.0700680.54270.294659
160.0184220.14270.443504
17-0.021903-0.16970.567075
18-0.053509-0.41450.659998
19-0.085677-0.66370.745272
20-0.127127-0.98470.835642
21-0.161194-1.24860.89167
22-0.181339-1.40460.917358
23-0.192976-1.49480.929894
24-0.197792-1.53210.934622
25-0.206476-1.59940.942503
26-0.218675-1.69390.95226
27-0.219906-1.70340.953164
28-0.218183-1.690.951895
29-0.215898-1.67230.950167
30-0.207214-1.60510.943136
31-0.207109-1.60430.943046
32-0.210027-1.62690.945496
33-0.224336-1.73770.956302
34-0.24666-1.91060.969582
35-0.254641-1.97240.973413
36-0.260231-2.01570.975844
37-0.266032-2.06070.978161
38-0.273028-2.11490.980698
39-0.284594-2.20450.984331
40-0.284067-2.20040.984179
41-0.273344-2.11730.980806
42-0.264731-2.05060.977659
43-0.25682-1.98930.974385
44-0.247926-1.92040.97022
45-0.230804-1.78780.960571
46-0.205245-1.58980.941435
47-0.177999-1.37880.913458

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.944417 & 7.3154 & 0 \tabularnewline
2 & 0.865982 & 6.7079 & 0 \tabularnewline
3 & 0.778547 & 6.0306 & 0 \tabularnewline
4 & 0.699128 & 5.4154 & 1e-06 \tabularnewline
5 & 0.626811 & 4.8553 & 4e-06 \tabularnewline
6 & 0.551329 & 4.2706 & 3.5e-05 \tabularnewline
7 & 0.477675 & 3.7001 & 0.000235 \tabularnewline
8 & 0.419913 & 3.2526 & 0.00094 \tabularnewline
9 & 0.367283 & 2.845 & 0.003034 \tabularnewline
10 & 0.332021 & 2.5718 & 0.006306 \tabularnewline
11 & 0.29936 & 2.3188 & 0.011914 \tabularnewline
12 & 0.25566 & 1.9803 & 0.026128 \tabularnewline
13 & 0.200218 & 1.5509 & 0.063095 \tabularnewline
14 & 0.137463 & 1.0648 & 0.14562 \tabularnewline
15 & 0.070068 & 0.5427 & 0.294659 \tabularnewline
16 & 0.018422 & 0.1427 & 0.443504 \tabularnewline
17 & -0.021903 & -0.1697 & 0.567075 \tabularnewline
18 & -0.053509 & -0.4145 & 0.659998 \tabularnewline
19 & -0.085677 & -0.6637 & 0.745272 \tabularnewline
20 & -0.127127 & -0.9847 & 0.835642 \tabularnewline
21 & -0.161194 & -1.2486 & 0.89167 \tabularnewline
22 & -0.181339 & -1.4046 & 0.917358 \tabularnewline
23 & -0.192976 & -1.4948 & 0.929894 \tabularnewline
24 & -0.197792 & -1.5321 & 0.934622 \tabularnewline
25 & -0.206476 & -1.5994 & 0.942503 \tabularnewline
26 & -0.218675 & -1.6939 & 0.95226 \tabularnewline
27 & -0.219906 & -1.7034 & 0.953164 \tabularnewline
28 & -0.218183 & -1.69 & 0.951895 \tabularnewline
29 & -0.215898 & -1.6723 & 0.950167 \tabularnewline
30 & -0.207214 & -1.6051 & 0.943136 \tabularnewline
31 & -0.207109 & -1.6043 & 0.943046 \tabularnewline
32 & -0.210027 & -1.6269 & 0.945496 \tabularnewline
33 & -0.224336 & -1.7377 & 0.956302 \tabularnewline
34 & -0.24666 & -1.9106 & 0.969582 \tabularnewline
35 & -0.254641 & -1.9724 & 0.973413 \tabularnewline
36 & -0.260231 & -2.0157 & 0.975844 \tabularnewline
37 & -0.266032 & -2.0607 & 0.978161 \tabularnewline
38 & -0.273028 & -2.1149 & 0.980698 \tabularnewline
39 & -0.284594 & -2.2045 & 0.984331 \tabularnewline
40 & -0.284067 & -2.2004 & 0.984179 \tabularnewline
41 & -0.273344 & -2.1173 & 0.980806 \tabularnewline
42 & -0.264731 & -2.0506 & 0.977659 \tabularnewline
43 & -0.25682 & -1.9893 & 0.974385 \tabularnewline
44 & -0.247926 & -1.9204 & 0.97022 \tabularnewline
45 & -0.230804 & -1.7878 & 0.960571 \tabularnewline
46 & -0.205245 & -1.5898 & 0.941435 \tabularnewline
47 & -0.177999 & -1.3788 & 0.913458 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3723&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.944417[/C][C]7.3154[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.865982[/C][C]6.7079[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.778547[/C][C]6.0306[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.699128[/C][C]5.4154[/C][C]1e-06[/C][/ROW]
[ROW][C]5[/C][C]0.626811[/C][C]4.8553[/C][C]4e-06[/C][/ROW]
[ROW][C]6[/C][C]0.551329[/C][C]4.2706[/C][C]3.5e-05[/C][/ROW]
[ROW][C]7[/C][C]0.477675[/C][C]3.7001[/C][C]0.000235[/C][/ROW]
[ROW][C]8[/C][C]0.419913[/C][C]3.2526[/C][C]0.00094[/C][/ROW]
[ROW][C]9[/C][C]0.367283[/C][C]2.845[/C][C]0.003034[/C][/ROW]
[ROW][C]10[/C][C]0.332021[/C][C]2.5718[/C][C]0.006306[/C][/ROW]
[ROW][C]11[/C][C]0.29936[/C][C]2.3188[/C][C]0.011914[/C][/ROW]
[ROW][C]12[/C][C]0.25566[/C][C]1.9803[/C][C]0.026128[/C][/ROW]
[ROW][C]13[/C][C]0.200218[/C][C]1.5509[/C][C]0.063095[/C][/ROW]
[ROW][C]14[/C][C]0.137463[/C][C]1.0648[/C][C]0.14562[/C][/ROW]
[ROW][C]15[/C][C]0.070068[/C][C]0.5427[/C][C]0.294659[/C][/ROW]
[ROW][C]16[/C][C]0.018422[/C][C]0.1427[/C][C]0.443504[/C][/ROW]
[ROW][C]17[/C][C]-0.021903[/C][C]-0.1697[/C][C]0.567075[/C][/ROW]
[ROW][C]18[/C][C]-0.053509[/C][C]-0.4145[/C][C]0.659998[/C][/ROW]
[ROW][C]19[/C][C]-0.085677[/C][C]-0.6637[/C][C]0.745272[/C][/ROW]
[ROW][C]20[/C][C]-0.127127[/C][C]-0.9847[/C][C]0.835642[/C][/ROW]
[ROW][C]21[/C][C]-0.161194[/C][C]-1.2486[/C][C]0.89167[/C][/ROW]
[ROW][C]22[/C][C]-0.181339[/C][C]-1.4046[/C][C]0.917358[/C][/ROW]
[ROW][C]23[/C][C]-0.192976[/C][C]-1.4948[/C][C]0.929894[/C][/ROW]
[ROW][C]24[/C][C]-0.197792[/C][C]-1.5321[/C][C]0.934622[/C][/ROW]
[ROW][C]25[/C][C]-0.206476[/C][C]-1.5994[/C][C]0.942503[/C][/ROW]
[ROW][C]26[/C][C]-0.218675[/C][C]-1.6939[/C][C]0.95226[/C][/ROW]
[ROW][C]27[/C][C]-0.219906[/C][C]-1.7034[/C][C]0.953164[/C][/ROW]
[ROW][C]28[/C][C]-0.218183[/C][C]-1.69[/C][C]0.951895[/C][/ROW]
[ROW][C]29[/C][C]-0.215898[/C][C]-1.6723[/C][C]0.950167[/C][/ROW]
[ROW][C]30[/C][C]-0.207214[/C][C]-1.6051[/C][C]0.943136[/C][/ROW]
[ROW][C]31[/C][C]-0.207109[/C][C]-1.6043[/C][C]0.943046[/C][/ROW]
[ROW][C]32[/C][C]-0.210027[/C][C]-1.6269[/C][C]0.945496[/C][/ROW]
[ROW][C]33[/C][C]-0.224336[/C][C]-1.7377[/C][C]0.956302[/C][/ROW]
[ROW][C]34[/C][C]-0.24666[/C][C]-1.9106[/C][C]0.969582[/C][/ROW]
[ROW][C]35[/C][C]-0.254641[/C][C]-1.9724[/C][C]0.973413[/C][/ROW]
[ROW][C]36[/C][C]-0.260231[/C][C]-2.0157[/C][C]0.975844[/C][/ROW]
[ROW][C]37[/C][C]-0.266032[/C][C]-2.0607[/C][C]0.978161[/C][/ROW]
[ROW][C]38[/C][C]-0.273028[/C][C]-2.1149[/C][C]0.980698[/C][/ROW]
[ROW][C]39[/C][C]-0.284594[/C][C]-2.2045[/C][C]0.984331[/C][/ROW]
[ROW][C]40[/C][C]-0.284067[/C][C]-2.2004[/C][C]0.984179[/C][/ROW]
[ROW][C]41[/C][C]-0.273344[/C][C]-2.1173[/C][C]0.980806[/C][/ROW]
[ROW][C]42[/C][C]-0.264731[/C][C]-2.0506[/C][C]0.977659[/C][/ROW]
[ROW][C]43[/C][C]-0.25682[/C][C]-1.9893[/C][C]0.974385[/C][/ROW]
[ROW][C]44[/C][C]-0.247926[/C][C]-1.9204[/C][C]0.97022[/C][/ROW]
[ROW][C]45[/C][C]-0.230804[/C][C]-1.7878[/C][C]0.960571[/C][/ROW]
[ROW][C]46[/C][C]-0.205245[/C][C]-1.5898[/C][C]0.941435[/C][/ROW]
[ROW][C]47[/C][C]-0.177999[/C][C]-1.3788[/C][C]0.913458[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3723&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3723&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
017.7460
10.9444177.31540
20.8659826.70790
30.7785476.03060
40.6991285.41541e-06
50.6268114.85534e-06
60.5513294.27063.5e-05
70.4776753.70010.000235
80.4199133.25260.00094
90.3672832.8450.003034
100.3320212.57180.006306
110.299362.31880.011914
120.255661.98030.026128
130.2002181.55090.063095
140.1374631.06480.14562
150.0700680.54270.294659
160.0184220.14270.443504
17-0.021903-0.16970.567075
18-0.053509-0.41450.659998
19-0.085677-0.66370.745272
20-0.127127-0.98470.835642
21-0.161194-1.24860.89167
22-0.181339-1.40460.917358
23-0.192976-1.49480.929894
24-0.197792-1.53210.934622
25-0.206476-1.59940.942503
26-0.218675-1.69390.95226
27-0.219906-1.70340.953164
28-0.218183-1.690.951895
29-0.215898-1.67230.950167
30-0.207214-1.60510.943136
31-0.207109-1.60430.943046
32-0.210027-1.62690.945496
33-0.224336-1.73770.956302
34-0.24666-1.91060.969582
35-0.254641-1.97240.973413
36-0.260231-2.01570.975844
37-0.266032-2.06070.978161
38-0.273028-2.11490.980698
39-0.284594-2.20450.984331
40-0.284067-2.20040.984179
41-0.273344-2.11730.980806
42-0.264731-2.05060.977659
43-0.25682-1.98930.974385
44-0.247926-1.92040.97022
45-0.230804-1.78780.960571
46-0.205245-1.58980.941435
47-0.177999-1.37880.913458







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9444177.31540
1-0.240028-1.85930.966051
2-0.087591-0.67850.749961
30.0543050.42060.337759
4-0.007116-0.05510.521887
5-0.109549-0.84860.80025
6-0.013153-0.10190.540406
70.1170730.90680.184058
8-0.06174-0.47820.682891
90.0981640.76040.225003
10-0.03603-0.27910.609431
11-0.156152-1.20950.884401
12-0.107774-0.83480.796432
13-0.0462-0.35790.639148
14-0.089781-0.69540.755268
150.1001290.77560.220517
160.062790.48640.314238
17-0.02009-0.15560.561571
18-0.07425-0.57510.716326
19-0.131533-1.01880.843817
200.0136630.10580.458035
210.0394870.30590.380382
220.0205220.1590.437115
230.0336530.26070.397618
24-0.00367-0.02840.511292
25-0.03836-0.29710.616306
260.0593540.45980.323677
27-0.062151-0.48140.684016
28-0.089131-0.69040.753699
290.0830420.64320.26126
30-0.051711-0.40060.654913
31-0.032717-0.25340.599598
32-0.103528-0.80190.78712
33-0.078368-0.6070.726942
340.0699930.54220.294858
35-0.053973-0.41810.661307
36-0.034062-0.26380.603598
37-0.022346-0.17310.568418
38-0.026887-0.20830.582137
390.045640.35350.362466
40-0.006312-0.04890.519415
41-0.078523-0.60820.727336
42-0.008898-0.06890.527359
430.0910470.70520.241692
440.0986210.76390.223955
45-0.013176-0.10210.540475
460.0120550.09340.462957
47-0.03703-0.28680.612385

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.944417 & 7.3154 & 0 \tabularnewline
1 & -0.240028 & -1.8593 & 0.966051 \tabularnewline
2 & -0.087591 & -0.6785 & 0.749961 \tabularnewline
3 & 0.054305 & 0.4206 & 0.337759 \tabularnewline
4 & -0.007116 & -0.0551 & 0.521887 \tabularnewline
5 & -0.109549 & -0.8486 & 0.80025 \tabularnewline
6 & -0.013153 & -0.1019 & 0.540406 \tabularnewline
7 & 0.117073 & 0.9068 & 0.184058 \tabularnewline
8 & -0.06174 & -0.4782 & 0.682891 \tabularnewline
9 & 0.098164 & 0.7604 & 0.225003 \tabularnewline
10 & -0.03603 & -0.2791 & 0.609431 \tabularnewline
11 & -0.156152 & -1.2095 & 0.884401 \tabularnewline
12 & -0.107774 & -0.8348 & 0.796432 \tabularnewline
13 & -0.0462 & -0.3579 & 0.639148 \tabularnewline
14 & -0.089781 & -0.6954 & 0.755268 \tabularnewline
15 & 0.100129 & 0.7756 & 0.220517 \tabularnewline
16 & 0.06279 & 0.4864 & 0.314238 \tabularnewline
17 & -0.02009 & -0.1556 & 0.561571 \tabularnewline
18 & -0.07425 & -0.5751 & 0.716326 \tabularnewline
19 & -0.131533 & -1.0188 & 0.843817 \tabularnewline
20 & 0.013663 & 0.1058 & 0.458035 \tabularnewline
21 & 0.039487 & 0.3059 & 0.380382 \tabularnewline
22 & 0.020522 & 0.159 & 0.437115 \tabularnewline
23 & 0.033653 & 0.2607 & 0.397618 \tabularnewline
24 & -0.00367 & -0.0284 & 0.511292 \tabularnewline
25 & -0.03836 & -0.2971 & 0.616306 \tabularnewline
26 & 0.059354 & 0.4598 & 0.323677 \tabularnewline
27 & -0.062151 & -0.4814 & 0.684016 \tabularnewline
28 & -0.089131 & -0.6904 & 0.753699 \tabularnewline
29 & 0.083042 & 0.6432 & 0.26126 \tabularnewline
30 & -0.051711 & -0.4006 & 0.654913 \tabularnewline
31 & -0.032717 & -0.2534 & 0.599598 \tabularnewline
32 & -0.103528 & -0.8019 & 0.78712 \tabularnewline
33 & -0.078368 & -0.607 & 0.726942 \tabularnewline
34 & 0.069993 & 0.5422 & 0.294858 \tabularnewline
35 & -0.053973 & -0.4181 & 0.661307 \tabularnewline
36 & -0.034062 & -0.2638 & 0.603598 \tabularnewline
37 & -0.022346 & -0.1731 & 0.568418 \tabularnewline
38 & -0.026887 & -0.2083 & 0.582137 \tabularnewline
39 & 0.04564 & 0.3535 & 0.362466 \tabularnewline
40 & -0.006312 & -0.0489 & 0.519415 \tabularnewline
41 & -0.078523 & -0.6082 & 0.727336 \tabularnewline
42 & -0.008898 & -0.0689 & 0.527359 \tabularnewline
43 & 0.091047 & 0.7052 & 0.241692 \tabularnewline
44 & 0.098621 & 0.7639 & 0.223955 \tabularnewline
45 & -0.013176 & -0.1021 & 0.540475 \tabularnewline
46 & 0.012055 & 0.0934 & 0.462957 \tabularnewline
47 & -0.03703 & -0.2868 & 0.612385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3723&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]0.944417[/C][C]7.3154[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.240028[/C][C]-1.8593[/C][C]0.966051[/C][/ROW]
[ROW][C]2[/C][C]-0.087591[/C][C]-0.6785[/C][C]0.749961[/C][/ROW]
[ROW][C]3[/C][C]0.054305[/C][C]0.4206[/C][C]0.337759[/C][/ROW]
[ROW][C]4[/C][C]-0.007116[/C][C]-0.0551[/C][C]0.521887[/C][/ROW]
[ROW][C]5[/C][C]-0.109549[/C][C]-0.8486[/C][C]0.80025[/C][/ROW]
[ROW][C]6[/C][C]-0.013153[/C][C]-0.1019[/C][C]0.540406[/C][/ROW]
[ROW][C]7[/C][C]0.117073[/C][C]0.9068[/C][C]0.184058[/C][/ROW]
[ROW][C]8[/C][C]-0.06174[/C][C]-0.4782[/C][C]0.682891[/C][/ROW]
[ROW][C]9[/C][C]0.098164[/C][C]0.7604[/C][C]0.225003[/C][/ROW]
[ROW][C]10[/C][C]-0.03603[/C][C]-0.2791[/C][C]0.609431[/C][/ROW]
[ROW][C]11[/C][C]-0.156152[/C][C]-1.2095[/C][C]0.884401[/C][/ROW]
[ROW][C]12[/C][C]-0.107774[/C][C]-0.8348[/C][C]0.796432[/C][/ROW]
[ROW][C]13[/C][C]-0.0462[/C][C]-0.3579[/C][C]0.639148[/C][/ROW]
[ROW][C]14[/C][C]-0.089781[/C][C]-0.6954[/C][C]0.755268[/C][/ROW]
[ROW][C]15[/C][C]0.100129[/C][C]0.7756[/C][C]0.220517[/C][/ROW]
[ROW][C]16[/C][C]0.06279[/C][C]0.4864[/C][C]0.314238[/C][/ROW]
[ROW][C]17[/C][C]-0.02009[/C][C]-0.1556[/C][C]0.561571[/C][/ROW]
[ROW][C]18[/C][C]-0.07425[/C][C]-0.5751[/C][C]0.716326[/C][/ROW]
[ROW][C]19[/C][C]-0.131533[/C][C]-1.0188[/C][C]0.843817[/C][/ROW]
[ROW][C]20[/C][C]0.013663[/C][C]0.1058[/C][C]0.458035[/C][/ROW]
[ROW][C]21[/C][C]0.039487[/C][C]0.3059[/C][C]0.380382[/C][/ROW]
[ROW][C]22[/C][C]0.020522[/C][C]0.159[/C][C]0.437115[/C][/ROW]
[ROW][C]23[/C][C]0.033653[/C][C]0.2607[/C][C]0.397618[/C][/ROW]
[ROW][C]24[/C][C]-0.00367[/C][C]-0.0284[/C][C]0.511292[/C][/ROW]
[ROW][C]25[/C][C]-0.03836[/C][C]-0.2971[/C][C]0.616306[/C][/ROW]
[ROW][C]26[/C][C]0.059354[/C][C]0.4598[/C][C]0.323677[/C][/ROW]
[ROW][C]27[/C][C]-0.062151[/C][C]-0.4814[/C][C]0.684016[/C][/ROW]
[ROW][C]28[/C][C]-0.089131[/C][C]-0.6904[/C][C]0.753699[/C][/ROW]
[ROW][C]29[/C][C]0.083042[/C][C]0.6432[/C][C]0.26126[/C][/ROW]
[ROW][C]30[/C][C]-0.051711[/C][C]-0.4006[/C][C]0.654913[/C][/ROW]
[ROW][C]31[/C][C]-0.032717[/C][C]-0.2534[/C][C]0.599598[/C][/ROW]
[ROW][C]32[/C][C]-0.103528[/C][C]-0.8019[/C][C]0.78712[/C][/ROW]
[ROW][C]33[/C][C]-0.078368[/C][C]-0.607[/C][C]0.726942[/C][/ROW]
[ROW][C]34[/C][C]0.069993[/C][C]0.5422[/C][C]0.294858[/C][/ROW]
[ROW][C]35[/C][C]-0.053973[/C][C]-0.4181[/C][C]0.661307[/C][/ROW]
[ROW][C]36[/C][C]-0.034062[/C][C]-0.2638[/C][C]0.603598[/C][/ROW]
[ROW][C]37[/C][C]-0.022346[/C][C]-0.1731[/C][C]0.568418[/C][/ROW]
[ROW][C]38[/C][C]-0.026887[/C][C]-0.2083[/C][C]0.582137[/C][/ROW]
[ROW][C]39[/C][C]0.04564[/C][C]0.3535[/C][C]0.362466[/C][/ROW]
[ROW][C]40[/C][C]-0.006312[/C][C]-0.0489[/C][C]0.519415[/C][/ROW]
[ROW][C]41[/C][C]-0.078523[/C][C]-0.6082[/C][C]0.727336[/C][/ROW]
[ROW][C]42[/C][C]-0.008898[/C][C]-0.0689[/C][C]0.527359[/C][/ROW]
[ROW][C]43[/C][C]0.091047[/C][C]0.7052[/C][C]0.241692[/C][/ROW]
[ROW][C]44[/C][C]0.098621[/C][C]0.7639[/C][C]0.223955[/C][/ROW]
[ROW][C]45[/C][C]-0.013176[/C][C]-0.1021[/C][C]0.540475[/C][/ROW]
[ROW][C]46[/C][C]0.012055[/C][C]0.0934[/C][C]0.462957[/C][/ROW]
[ROW][C]47[/C][C]-0.03703[/C][C]-0.2868[/C][C]0.612385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3723&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3723&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
00.9444177.31540
1-0.240028-1.85930.966051
2-0.087591-0.67850.749961
30.0543050.42060.337759
4-0.007116-0.05510.521887
5-0.109549-0.84860.80025
6-0.013153-0.10190.540406
70.1170730.90680.184058
8-0.06174-0.47820.682891
90.0981640.76040.225003
10-0.03603-0.27910.609431
11-0.156152-1.20950.884401
12-0.107774-0.83480.796432
13-0.0462-0.35790.639148
14-0.089781-0.69540.755268
150.1001290.77560.220517
160.062790.48640.314238
17-0.02009-0.15560.561571
18-0.07425-0.57510.716326
19-0.131533-1.01880.843817
200.0136630.10580.458035
210.0394870.30590.380382
220.0205220.1590.437115
230.0336530.26070.397618
24-0.00367-0.02840.511292
25-0.03836-0.29710.616306
260.0593540.45980.323677
27-0.062151-0.48140.684016
28-0.089131-0.69040.753699
290.0830420.64320.26126
30-0.051711-0.40060.654913
31-0.032717-0.25340.599598
32-0.103528-0.80190.78712
33-0.078368-0.6070.726942
340.0699930.54220.294858
35-0.053973-0.41810.661307
36-0.034062-0.26380.603598
37-0.022346-0.17310.568418
38-0.026887-0.20830.582137
390.045640.35350.362466
40-0.006312-0.04890.519415
41-0.078523-0.60820.727336
42-0.008898-0.06890.527359
430.0910470.70520.241692
440.0986210.76390.223955
45-0.013176-0.10210.540475
460.0120550.09340.462957
47-0.03703-0.28680.612385



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