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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 12:07:08 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t1242324451vewjklzw52jcpy1.htm/, Retrieved Mon, 29 Apr 2024 06:15:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40067, Retrieved Mon, 29 Apr 2024 06:15:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2009-05-14 18:07:08] [5aa691221f42eb69d375706ec88f102e] [Current]
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Dataseries X:
10,812
10,738
10,171
9,721
9,897
9,828
9,924
10,371
10,846
10,413
10,709
10,662
10,57
10,297
10,635
10,872
10,296
10,383
10,431
10,574
10,653
10,805
10,872
10,625
10,407
10,463
10,556
10,646
10,702
11,353
11,346
11,451
11,964
12,574
13,031
13,812
14,544
14,931
14,886
16,005
17,064
15,168
16,05
15,839
15,137
14,954
15,648
15,305
15,579
16,348
15,928
16,171
15,937
15,713
15,594
15,683
16,438
17,032
17,696
17,745
19,394
20,148
20,108
18,584
18,441
18,391
19,178
18,079
18,483
19,644
19,195
19,65
20,83




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40067&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40067&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40067&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9518168.13230
20.9125037.79640
30.8758247.4830
40.8268797.06490
50.7840136.69860
60.7496136.40470
70.7067136.03820
80.6714035.73650
90.6395785.46460
100.6033255.15481e-06
110.5548374.74055e-06
120.5010964.28142.8e-05
130.4507823.85150.000125
140.4109173.51090.000385
150.3709933.16980.001115
160.3375062.88360.002581
170.3082032.63330.005158
180.2856292.44040.008549
190.2614892.23420.014267
200.238962.04170.022399
210.2107861.8010.03792
220.1785331.52540.065742
230.1430711.22240.112744
240.1009790.86280.195545
250.0638840.54580.293426
260.0279380.23870.406003
27-0.015307-0.13080.448153
28-0.052351-0.44730.327997
29-0.087889-0.75090.227555
30-0.131219-1.12110.132953
31-0.175555-1.49990.068971
32-0.209506-1.790.038799
33-0.26127-2.23230.014332
34-0.302218-2.58220.005912
35-0.331337-2.83090.002996
36-0.358894-3.06640.001519
37-0.381893-3.26290.000839
38-0.396915-3.39120.000563
39-0.406656-3.47450.000432
40-0.411816-3.51860.000375
41-0.409324-3.49730.000402
42-0.41103-3.51180.000384
43-0.409544-3.49914e-04
44-0.409919-3.50240.000396
45-0.406568-3.47370.000434
46-0.402853-3.4420.00048
47-0.39564-3.38040.000583
48-0.389506-3.32790.000686

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.951816 & 8.1323 & 0 \tabularnewline
2 & 0.912503 & 7.7964 & 0 \tabularnewline
3 & 0.875824 & 7.483 & 0 \tabularnewline
4 & 0.826879 & 7.0649 & 0 \tabularnewline
5 & 0.784013 & 6.6986 & 0 \tabularnewline
6 & 0.749613 & 6.4047 & 0 \tabularnewline
7 & 0.706713 & 6.0382 & 0 \tabularnewline
8 & 0.671403 & 5.7365 & 0 \tabularnewline
9 & 0.639578 & 5.4646 & 0 \tabularnewline
10 & 0.603325 & 5.1548 & 1e-06 \tabularnewline
11 & 0.554837 & 4.7405 & 5e-06 \tabularnewline
12 & 0.501096 & 4.2814 & 2.8e-05 \tabularnewline
13 & 0.450782 & 3.8515 & 0.000125 \tabularnewline
14 & 0.410917 & 3.5109 & 0.000385 \tabularnewline
15 & 0.370993 & 3.1698 & 0.001115 \tabularnewline
16 & 0.337506 & 2.8836 & 0.002581 \tabularnewline
17 & 0.308203 & 2.6333 & 0.005158 \tabularnewline
18 & 0.285629 & 2.4404 & 0.008549 \tabularnewline
19 & 0.261489 & 2.2342 & 0.014267 \tabularnewline
20 & 0.23896 & 2.0417 & 0.022399 \tabularnewline
21 & 0.210786 & 1.801 & 0.03792 \tabularnewline
22 & 0.178533 & 1.5254 & 0.065742 \tabularnewline
23 & 0.143071 & 1.2224 & 0.112744 \tabularnewline
24 & 0.100979 & 0.8628 & 0.195545 \tabularnewline
25 & 0.063884 & 0.5458 & 0.293426 \tabularnewline
26 & 0.027938 & 0.2387 & 0.406003 \tabularnewline
27 & -0.015307 & -0.1308 & 0.448153 \tabularnewline
28 & -0.052351 & -0.4473 & 0.327997 \tabularnewline
29 & -0.087889 & -0.7509 & 0.227555 \tabularnewline
30 & -0.131219 & -1.1211 & 0.132953 \tabularnewline
31 & -0.175555 & -1.4999 & 0.068971 \tabularnewline
32 & -0.209506 & -1.79 & 0.038799 \tabularnewline
33 & -0.26127 & -2.2323 & 0.014332 \tabularnewline
34 & -0.302218 & -2.5822 & 0.005912 \tabularnewline
35 & -0.331337 & -2.8309 & 0.002996 \tabularnewline
36 & -0.358894 & -3.0664 & 0.001519 \tabularnewline
37 & -0.381893 & -3.2629 & 0.000839 \tabularnewline
38 & -0.396915 & -3.3912 & 0.000563 \tabularnewline
39 & -0.406656 & -3.4745 & 0.000432 \tabularnewline
40 & -0.411816 & -3.5186 & 0.000375 \tabularnewline
41 & -0.409324 & -3.4973 & 0.000402 \tabularnewline
42 & -0.41103 & -3.5118 & 0.000384 \tabularnewline
43 & -0.409544 & -3.4991 & 4e-04 \tabularnewline
44 & -0.409919 & -3.5024 & 0.000396 \tabularnewline
45 & -0.406568 & -3.4737 & 0.000434 \tabularnewline
46 & -0.402853 & -3.442 & 0.00048 \tabularnewline
47 & -0.39564 & -3.3804 & 0.000583 \tabularnewline
48 & -0.389506 & -3.3279 & 0.000686 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40067&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.951816[/C][C]8.1323[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.912503[/C][C]7.7964[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.875824[/C][C]7.483[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.826879[/C][C]7.0649[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.784013[/C][C]6.6986[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.749613[/C][C]6.4047[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.706713[/C][C]6.0382[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.671403[/C][C]5.7365[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.639578[/C][C]5.4646[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.603325[/C][C]5.1548[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.554837[/C][C]4.7405[/C][C]5e-06[/C][/ROW]
[ROW][C]12[/C][C]0.501096[/C][C]4.2814[/C][C]2.8e-05[/C][/ROW]
[ROW][C]13[/C][C]0.450782[/C][C]3.8515[/C][C]0.000125[/C][/ROW]
[ROW][C]14[/C][C]0.410917[/C][C]3.5109[/C][C]0.000385[/C][/ROW]
[ROW][C]15[/C][C]0.370993[/C][C]3.1698[/C][C]0.001115[/C][/ROW]
[ROW][C]16[/C][C]0.337506[/C][C]2.8836[/C][C]0.002581[/C][/ROW]
[ROW][C]17[/C][C]0.308203[/C][C]2.6333[/C][C]0.005158[/C][/ROW]
[ROW][C]18[/C][C]0.285629[/C][C]2.4404[/C][C]0.008549[/C][/ROW]
[ROW][C]19[/C][C]0.261489[/C][C]2.2342[/C][C]0.014267[/C][/ROW]
[ROW][C]20[/C][C]0.23896[/C][C]2.0417[/C][C]0.022399[/C][/ROW]
[ROW][C]21[/C][C]0.210786[/C][C]1.801[/C][C]0.03792[/C][/ROW]
[ROW][C]22[/C][C]0.178533[/C][C]1.5254[/C][C]0.065742[/C][/ROW]
[ROW][C]23[/C][C]0.143071[/C][C]1.2224[/C][C]0.112744[/C][/ROW]
[ROW][C]24[/C][C]0.100979[/C][C]0.8628[/C][C]0.195545[/C][/ROW]
[ROW][C]25[/C][C]0.063884[/C][C]0.5458[/C][C]0.293426[/C][/ROW]
[ROW][C]26[/C][C]0.027938[/C][C]0.2387[/C][C]0.406003[/C][/ROW]
[ROW][C]27[/C][C]-0.015307[/C][C]-0.1308[/C][C]0.448153[/C][/ROW]
[ROW][C]28[/C][C]-0.052351[/C][C]-0.4473[/C][C]0.327997[/C][/ROW]
[ROW][C]29[/C][C]-0.087889[/C][C]-0.7509[/C][C]0.227555[/C][/ROW]
[ROW][C]30[/C][C]-0.131219[/C][C]-1.1211[/C][C]0.132953[/C][/ROW]
[ROW][C]31[/C][C]-0.175555[/C][C]-1.4999[/C][C]0.068971[/C][/ROW]
[ROW][C]32[/C][C]-0.209506[/C][C]-1.79[/C][C]0.038799[/C][/ROW]
[ROW][C]33[/C][C]-0.26127[/C][C]-2.2323[/C][C]0.014332[/C][/ROW]
[ROW][C]34[/C][C]-0.302218[/C][C]-2.5822[/C][C]0.005912[/C][/ROW]
[ROW][C]35[/C][C]-0.331337[/C][C]-2.8309[/C][C]0.002996[/C][/ROW]
[ROW][C]36[/C][C]-0.358894[/C][C]-3.0664[/C][C]0.001519[/C][/ROW]
[ROW][C]37[/C][C]-0.381893[/C][C]-3.2629[/C][C]0.000839[/C][/ROW]
[ROW][C]38[/C][C]-0.396915[/C][C]-3.3912[/C][C]0.000563[/C][/ROW]
[ROW][C]39[/C][C]-0.406656[/C][C]-3.4745[/C][C]0.000432[/C][/ROW]
[ROW][C]40[/C][C]-0.411816[/C][C]-3.5186[/C][C]0.000375[/C][/ROW]
[ROW][C]41[/C][C]-0.409324[/C][C]-3.4973[/C][C]0.000402[/C][/ROW]
[ROW][C]42[/C][C]-0.41103[/C][C]-3.5118[/C][C]0.000384[/C][/ROW]
[ROW][C]43[/C][C]-0.409544[/C][C]-3.4991[/C][C]4e-04[/C][/ROW]
[ROW][C]44[/C][C]-0.409919[/C][C]-3.5024[/C][C]0.000396[/C][/ROW]
[ROW][C]45[/C][C]-0.406568[/C][C]-3.4737[/C][C]0.000434[/C][/ROW]
[ROW][C]46[/C][C]-0.402853[/C][C]-3.442[/C][C]0.00048[/C][/ROW]
[ROW][C]47[/C][C]-0.39564[/C][C]-3.3804[/C][C]0.000583[/C][/ROW]
[ROW][C]48[/C][C]-0.389506[/C][C]-3.3279[/C][C]0.000686[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40067&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40067&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
10.9518168.13230
20.9125037.79640
30.8758247.4830
40.8268797.06490
50.7840136.69860
60.7496136.40470
70.7067136.03820
80.6714035.73650
90.6395785.46460
100.6033255.15481e-06
110.5548374.74055e-06
120.5010964.28142.8e-05
130.4507823.85150.000125
140.4109173.51090.000385
150.3709933.16980.001115
160.3375062.88360.002581
170.3082032.63330.005158
180.2856292.44040.008549
190.2614892.23420.014267
200.238962.04170.022399
210.2107861.8010.03792
220.1785331.52540.065742
230.1430711.22240.112744
240.1009790.86280.195545
250.0638840.54580.293426
260.0279380.23870.406003
27-0.015307-0.13080.448153
28-0.052351-0.44730.327997
29-0.087889-0.75090.227555
30-0.131219-1.12110.132953
31-0.175555-1.49990.068971
32-0.209506-1.790.038799
33-0.26127-2.23230.014332
34-0.302218-2.58220.005912
35-0.331337-2.83090.002996
36-0.358894-3.06640.001519
37-0.381893-3.26290.000839
38-0.396915-3.39120.000563
39-0.406656-3.47450.000432
40-0.411816-3.51860.000375
41-0.409324-3.49730.000402
42-0.41103-3.51180.000384
43-0.409544-3.49914e-04
44-0.409919-3.50240.000396
45-0.406568-3.47370.000434
46-0.402853-3.4420.00048
47-0.39564-3.38040.000583
48-0.389506-3.32790.000686







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9518168.13230
20.0696380.5950.276847
30.0159030.13590.446146
4-0.144857-1.23770.109905
50.0169180.14450.442734
60.0707980.60490.273562
7-0.078653-0.6720.251848
80.036080.30830.37938
90.0071520.06110.475719
10-0.034272-0.29280.385246
11-0.177756-1.51870.066573
12-0.130178-1.11220.134842
130.0124860.10670.457669
140.1193951.02010.155522
15-0.003626-0.0310.487686
160.0133750.11430.454665
170.0101470.08670.465574
180.0685530.58570.279936
19-0.044329-0.37880.352986
20-0.02092-0.17870.429319
21-0.041039-0.35060.363436
22-0.033021-0.28210.389319
23-0.079855-0.68230.248611
24-0.163779-1.39930.082975
25-0.001239-0.01060.495792
26-0.014484-0.12370.450927
27-0.111187-0.950.172629
28-0.045545-0.38910.349154
29-0.016019-0.13690.445755
30-0.068395-0.58440.280388
31-0.085251-0.72840.234355
320.0717020.61260.271015
33-0.151343-1.29310.100031
340.0561990.48020.316273
350.058190.49720.31028
360.0328410.28060.389909
37-0.006752-0.05770.477078
38-0.003606-0.03080.487754
390.0716030.61180.271294
400.0204390.17460.430928
410.0712380.60870.272321
42-0.069845-0.59680.276259
430.0335930.2870.387455
44-0.054632-0.46680.321026
45-0.000295-0.00250.498997
46-0.082722-0.70680.240978
470.0471310.40270.344178
48-0.017586-0.15030.440489

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.951816 & 8.1323 & 0 \tabularnewline
2 & 0.069638 & 0.595 & 0.276847 \tabularnewline
3 & 0.015903 & 0.1359 & 0.446146 \tabularnewline
4 & -0.144857 & -1.2377 & 0.109905 \tabularnewline
5 & 0.016918 & 0.1445 & 0.442734 \tabularnewline
6 & 0.070798 & 0.6049 & 0.273562 \tabularnewline
7 & -0.078653 & -0.672 & 0.251848 \tabularnewline
8 & 0.03608 & 0.3083 & 0.37938 \tabularnewline
9 & 0.007152 & 0.0611 & 0.475719 \tabularnewline
10 & -0.034272 & -0.2928 & 0.385246 \tabularnewline
11 & -0.177756 & -1.5187 & 0.066573 \tabularnewline
12 & -0.130178 & -1.1122 & 0.134842 \tabularnewline
13 & 0.012486 & 0.1067 & 0.457669 \tabularnewline
14 & 0.119395 & 1.0201 & 0.155522 \tabularnewline
15 & -0.003626 & -0.031 & 0.487686 \tabularnewline
16 & 0.013375 & 0.1143 & 0.454665 \tabularnewline
17 & 0.010147 & 0.0867 & 0.465574 \tabularnewline
18 & 0.068553 & 0.5857 & 0.279936 \tabularnewline
19 & -0.044329 & -0.3788 & 0.352986 \tabularnewline
20 & -0.02092 & -0.1787 & 0.429319 \tabularnewline
21 & -0.041039 & -0.3506 & 0.363436 \tabularnewline
22 & -0.033021 & -0.2821 & 0.389319 \tabularnewline
23 & -0.079855 & -0.6823 & 0.248611 \tabularnewline
24 & -0.163779 & -1.3993 & 0.082975 \tabularnewline
25 & -0.001239 & -0.0106 & 0.495792 \tabularnewline
26 & -0.014484 & -0.1237 & 0.450927 \tabularnewline
27 & -0.111187 & -0.95 & 0.172629 \tabularnewline
28 & -0.045545 & -0.3891 & 0.349154 \tabularnewline
29 & -0.016019 & -0.1369 & 0.445755 \tabularnewline
30 & -0.068395 & -0.5844 & 0.280388 \tabularnewline
31 & -0.085251 & -0.7284 & 0.234355 \tabularnewline
32 & 0.071702 & 0.6126 & 0.271015 \tabularnewline
33 & -0.151343 & -1.2931 & 0.100031 \tabularnewline
34 & 0.056199 & 0.4802 & 0.316273 \tabularnewline
35 & 0.05819 & 0.4972 & 0.31028 \tabularnewline
36 & 0.032841 & 0.2806 & 0.389909 \tabularnewline
37 & -0.006752 & -0.0577 & 0.477078 \tabularnewline
38 & -0.003606 & -0.0308 & 0.487754 \tabularnewline
39 & 0.071603 & 0.6118 & 0.271294 \tabularnewline
40 & 0.020439 & 0.1746 & 0.430928 \tabularnewline
41 & 0.071238 & 0.6087 & 0.272321 \tabularnewline
42 & -0.069845 & -0.5968 & 0.276259 \tabularnewline
43 & 0.033593 & 0.287 & 0.387455 \tabularnewline
44 & -0.054632 & -0.4668 & 0.321026 \tabularnewline
45 & -0.000295 & -0.0025 & 0.498997 \tabularnewline
46 & -0.082722 & -0.7068 & 0.240978 \tabularnewline
47 & 0.047131 & 0.4027 & 0.344178 \tabularnewline
48 & -0.017586 & -0.1503 & 0.440489 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40067&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.951816[/C][C]8.1323[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.069638[/C][C]0.595[/C][C]0.276847[/C][/ROW]
[ROW][C]3[/C][C]0.015903[/C][C]0.1359[/C][C]0.446146[/C][/ROW]
[ROW][C]4[/C][C]-0.144857[/C][C]-1.2377[/C][C]0.109905[/C][/ROW]
[ROW][C]5[/C][C]0.016918[/C][C]0.1445[/C][C]0.442734[/C][/ROW]
[ROW][C]6[/C][C]0.070798[/C][C]0.6049[/C][C]0.273562[/C][/ROW]
[ROW][C]7[/C][C]-0.078653[/C][C]-0.672[/C][C]0.251848[/C][/ROW]
[ROW][C]8[/C][C]0.03608[/C][C]0.3083[/C][C]0.37938[/C][/ROW]
[ROW][C]9[/C][C]0.007152[/C][C]0.0611[/C][C]0.475719[/C][/ROW]
[ROW][C]10[/C][C]-0.034272[/C][C]-0.2928[/C][C]0.385246[/C][/ROW]
[ROW][C]11[/C][C]-0.177756[/C][C]-1.5187[/C][C]0.066573[/C][/ROW]
[ROW][C]12[/C][C]-0.130178[/C][C]-1.1122[/C][C]0.134842[/C][/ROW]
[ROW][C]13[/C][C]0.012486[/C][C]0.1067[/C][C]0.457669[/C][/ROW]
[ROW][C]14[/C][C]0.119395[/C][C]1.0201[/C][C]0.155522[/C][/ROW]
[ROW][C]15[/C][C]-0.003626[/C][C]-0.031[/C][C]0.487686[/C][/ROW]
[ROW][C]16[/C][C]0.013375[/C][C]0.1143[/C][C]0.454665[/C][/ROW]
[ROW][C]17[/C][C]0.010147[/C][C]0.0867[/C][C]0.465574[/C][/ROW]
[ROW][C]18[/C][C]0.068553[/C][C]0.5857[/C][C]0.279936[/C][/ROW]
[ROW][C]19[/C][C]-0.044329[/C][C]-0.3788[/C][C]0.352986[/C][/ROW]
[ROW][C]20[/C][C]-0.02092[/C][C]-0.1787[/C][C]0.429319[/C][/ROW]
[ROW][C]21[/C][C]-0.041039[/C][C]-0.3506[/C][C]0.363436[/C][/ROW]
[ROW][C]22[/C][C]-0.033021[/C][C]-0.2821[/C][C]0.389319[/C][/ROW]
[ROW][C]23[/C][C]-0.079855[/C][C]-0.6823[/C][C]0.248611[/C][/ROW]
[ROW][C]24[/C][C]-0.163779[/C][C]-1.3993[/C][C]0.082975[/C][/ROW]
[ROW][C]25[/C][C]-0.001239[/C][C]-0.0106[/C][C]0.495792[/C][/ROW]
[ROW][C]26[/C][C]-0.014484[/C][C]-0.1237[/C][C]0.450927[/C][/ROW]
[ROW][C]27[/C][C]-0.111187[/C][C]-0.95[/C][C]0.172629[/C][/ROW]
[ROW][C]28[/C][C]-0.045545[/C][C]-0.3891[/C][C]0.349154[/C][/ROW]
[ROW][C]29[/C][C]-0.016019[/C][C]-0.1369[/C][C]0.445755[/C][/ROW]
[ROW][C]30[/C][C]-0.068395[/C][C]-0.5844[/C][C]0.280388[/C][/ROW]
[ROW][C]31[/C][C]-0.085251[/C][C]-0.7284[/C][C]0.234355[/C][/ROW]
[ROW][C]32[/C][C]0.071702[/C][C]0.6126[/C][C]0.271015[/C][/ROW]
[ROW][C]33[/C][C]-0.151343[/C][C]-1.2931[/C][C]0.100031[/C][/ROW]
[ROW][C]34[/C][C]0.056199[/C][C]0.4802[/C][C]0.316273[/C][/ROW]
[ROW][C]35[/C][C]0.05819[/C][C]0.4972[/C][C]0.31028[/C][/ROW]
[ROW][C]36[/C][C]0.032841[/C][C]0.2806[/C][C]0.389909[/C][/ROW]
[ROW][C]37[/C][C]-0.006752[/C][C]-0.0577[/C][C]0.477078[/C][/ROW]
[ROW][C]38[/C][C]-0.003606[/C][C]-0.0308[/C][C]0.487754[/C][/ROW]
[ROW][C]39[/C][C]0.071603[/C][C]0.6118[/C][C]0.271294[/C][/ROW]
[ROW][C]40[/C][C]0.020439[/C][C]0.1746[/C][C]0.430928[/C][/ROW]
[ROW][C]41[/C][C]0.071238[/C][C]0.6087[/C][C]0.272321[/C][/ROW]
[ROW][C]42[/C][C]-0.069845[/C][C]-0.5968[/C][C]0.276259[/C][/ROW]
[ROW][C]43[/C][C]0.033593[/C][C]0.287[/C][C]0.387455[/C][/ROW]
[ROW][C]44[/C][C]-0.054632[/C][C]-0.4668[/C][C]0.321026[/C][/ROW]
[ROW][C]45[/C][C]-0.000295[/C][C]-0.0025[/C][C]0.498997[/C][/ROW]
[ROW][C]46[/C][C]-0.082722[/C][C]-0.7068[/C][C]0.240978[/C][/ROW]
[ROW][C]47[/C][C]0.047131[/C][C]0.4027[/C][C]0.344178[/C][/ROW]
[ROW][C]48[/C][C]-0.017586[/C][C]-0.1503[/C][C]0.440489[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40067&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40067&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
10.9518168.13230
20.0696380.5950.276847
30.0159030.13590.446146
4-0.144857-1.23770.109905
50.0169180.14450.442734
60.0707980.60490.273562
7-0.078653-0.6720.251848
80.036080.30830.37938
90.0071520.06110.475719
10-0.034272-0.29280.385246
11-0.177756-1.51870.066573
12-0.130178-1.11220.134842
130.0124860.10670.457669
140.1193951.02010.155522
15-0.003626-0.0310.487686
160.0133750.11430.454665
170.0101470.08670.465574
180.0685530.58570.279936
19-0.044329-0.37880.352986
20-0.02092-0.17870.429319
21-0.041039-0.35060.363436
22-0.033021-0.28210.389319
23-0.079855-0.68230.248611
24-0.163779-1.39930.082975
25-0.001239-0.01060.495792
26-0.014484-0.12370.450927
27-0.111187-0.950.172629
28-0.045545-0.38910.349154
29-0.016019-0.13690.445755
30-0.068395-0.58440.280388
31-0.085251-0.72840.234355
320.0717020.61260.271015
33-0.151343-1.29310.100031
340.0561990.48020.316273
350.058190.49720.31028
360.0328410.28060.389909
37-0.006752-0.05770.477078
38-0.003606-0.03080.487754
390.0716030.61180.271294
400.0204390.17460.430928
410.0712380.60870.272321
42-0.069845-0.59680.276259
430.0335930.2870.387455
44-0.054632-0.46680.321026
45-0.000295-0.00250.498997
46-0.082722-0.70680.240978
470.0471310.40270.344178
48-0.017586-0.15030.440489



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 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 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')