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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 02 Jun 2009 10:02:43 -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/Jun/02/t1243958582pt48c31cek0bh8k.htm/, Retrieved Fri, 10 May 2024 05:03:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41297, Retrieved Fri, 10 May 2024 05:03:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Kempeneers Liesbe...] [2009-05-17 10:13:02] [e255d5a164a6c4031b5d890e3ed09f74]
-   PD    [(Partial) Autocorrelation Function] [] [2009-06-02 16:02:43] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
3851,3
3851,8
3854,1
3858,4
3861,6
3856,3
3855,8
3860,4
3855,1
3839,5
3833
3833,6
3826,8
3818,2
3811,4
3806,8
3810,3
3818,2
3858,9
3867,8
3872,3
3873,3
3876,7
3882,6
3883,5
3882,2
3888,1
3893,7
3901,9
3914,3
3930,3
3948,3
3971,5
3990,1
3993
3998
4015,8
4041,2
4060,7
4076,7
4103
4125,3
4139,7
4146,7
4158
4155,1
4144,8
4148,2
4142,5
4142,1
4145,4
4146,3
4143,5
4149,2
4158,9
4166,1
4179,1
4194,4
4211,7
4226,3
4235,8
4243,6
4258,7
4278,2
4298
4315,1
4334,3
4356
4374
4395,5
4417,8
4432,8
4446,3




Summary of computational 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 computational 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=41297&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]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=41297&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41297&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6955535.9020
20.4933644.18634e-05
30.4197733.56190.000329
40.3585893.04270.001635
50.2338061.98390.02554
60.1411271.19750.117519
70.129271.09690.138172
80.0563260.47790.31707
9-0.019944-0.16920.433044
10-0.002941-0.0250.49008
110.0189590.16090.436323
12-0.020744-0.1760.430387
13-0.072973-0.61920.26887
14-0.058723-0.49830.309902
15-0.127455-1.08150.141544
16-0.229117-1.94410.027894
17-0.239007-2.0280.023129
18-0.145349-1.23330.110733
19-0.099645-0.84550.200313
20-0.096719-0.82070.207267
21-0.078639-0.66730.253366
22-0.029948-0.25410.400064
23-0.053362-0.45280.326031
24-0.062027-0.52630.300142
25-0.017097-0.14510.442531
260.0307240.26070.397533
27-0.064687-0.54890.292389
28-0.120113-1.01920.155761
29-0.025806-0.2190.413645
30-0.018946-0.16080.436366
31-0.009459-0.08030.468127
320.0188460.15990.436699
330.068180.57850.282356
340.0562790.47750.317212
350.0593970.5040.307899
360.1171420.9940.16178
370.1483051.25840.106155
380.1528091.29660.09945
390.1479141.25510.106753
400.1535421.30280.098389
410.0930920.78990.216087
420.0284890.24170.404834
430.0069240.05870.476657
440.006040.05130.479633
45-0.004667-0.03960.484261
46-0.005317-0.04510.482069
47-0.021588-0.18320.427586
48-0.053501-0.4540.325607

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.695553 & 5.902 & 0 \tabularnewline
2 & 0.493364 & 4.1863 & 4e-05 \tabularnewline
3 & 0.419773 & 3.5619 & 0.000329 \tabularnewline
4 & 0.358589 & 3.0427 & 0.001635 \tabularnewline
5 & 0.233806 & 1.9839 & 0.02554 \tabularnewline
6 & 0.141127 & 1.1975 & 0.117519 \tabularnewline
7 & 0.12927 & 1.0969 & 0.138172 \tabularnewline
8 & 0.056326 & 0.4779 & 0.31707 \tabularnewline
9 & -0.019944 & -0.1692 & 0.433044 \tabularnewline
10 & -0.002941 & -0.025 & 0.49008 \tabularnewline
11 & 0.018959 & 0.1609 & 0.436323 \tabularnewline
12 & -0.020744 & -0.176 & 0.430387 \tabularnewline
13 & -0.072973 & -0.6192 & 0.26887 \tabularnewline
14 & -0.058723 & -0.4983 & 0.309902 \tabularnewline
15 & -0.127455 & -1.0815 & 0.141544 \tabularnewline
16 & -0.229117 & -1.9441 & 0.027894 \tabularnewline
17 & -0.239007 & -2.028 & 0.023129 \tabularnewline
18 & -0.145349 & -1.2333 & 0.110733 \tabularnewline
19 & -0.099645 & -0.8455 & 0.200313 \tabularnewline
20 & -0.096719 & -0.8207 & 0.207267 \tabularnewline
21 & -0.078639 & -0.6673 & 0.253366 \tabularnewline
22 & -0.029948 & -0.2541 & 0.400064 \tabularnewline
23 & -0.053362 & -0.4528 & 0.326031 \tabularnewline
24 & -0.062027 & -0.5263 & 0.300142 \tabularnewline
25 & -0.017097 & -0.1451 & 0.442531 \tabularnewline
26 & 0.030724 & 0.2607 & 0.397533 \tabularnewline
27 & -0.064687 & -0.5489 & 0.292389 \tabularnewline
28 & -0.120113 & -1.0192 & 0.155761 \tabularnewline
29 & -0.025806 & -0.219 & 0.413645 \tabularnewline
30 & -0.018946 & -0.1608 & 0.436366 \tabularnewline
31 & -0.009459 & -0.0803 & 0.468127 \tabularnewline
32 & 0.018846 & 0.1599 & 0.436699 \tabularnewline
33 & 0.06818 & 0.5785 & 0.282356 \tabularnewline
34 & 0.056279 & 0.4775 & 0.317212 \tabularnewline
35 & 0.059397 & 0.504 & 0.307899 \tabularnewline
36 & 0.117142 & 0.994 & 0.16178 \tabularnewline
37 & 0.148305 & 1.2584 & 0.106155 \tabularnewline
38 & 0.152809 & 1.2966 & 0.09945 \tabularnewline
39 & 0.147914 & 1.2551 & 0.106753 \tabularnewline
40 & 0.153542 & 1.3028 & 0.098389 \tabularnewline
41 & 0.093092 & 0.7899 & 0.216087 \tabularnewline
42 & 0.028489 & 0.2417 & 0.404834 \tabularnewline
43 & 0.006924 & 0.0587 & 0.476657 \tabularnewline
44 & 0.00604 & 0.0513 & 0.479633 \tabularnewline
45 & -0.004667 & -0.0396 & 0.484261 \tabularnewline
46 & -0.005317 & -0.0451 & 0.482069 \tabularnewline
47 & -0.021588 & -0.1832 & 0.427586 \tabularnewline
48 & -0.053501 & -0.454 & 0.325607 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41297&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]0.695553[/C][C]5.902[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.493364[/C][C]4.1863[/C][C]4e-05[/C][/ROW]
[ROW][C]3[/C][C]0.419773[/C][C]3.5619[/C][C]0.000329[/C][/ROW]
[ROW][C]4[/C][C]0.358589[/C][C]3.0427[/C][C]0.001635[/C][/ROW]
[ROW][C]5[/C][C]0.233806[/C][C]1.9839[/C][C]0.02554[/C][/ROW]
[ROW][C]6[/C][C]0.141127[/C][C]1.1975[/C][C]0.117519[/C][/ROW]
[ROW][C]7[/C][C]0.12927[/C][C]1.0969[/C][C]0.138172[/C][/ROW]
[ROW][C]8[/C][C]0.056326[/C][C]0.4779[/C][C]0.31707[/C][/ROW]
[ROW][C]9[/C][C]-0.019944[/C][C]-0.1692[/C][C]0.433044[/C][/ROW]
[ROW][C]10[/C][C]-0.002941[/C][C]-0.025[/C][C]0.49008[/C][/ROW]
[ROW][C]11[/C][C]0.018959[/C][C]0.1609[/C][C]0.436323[/C][/ROW]
[ROW][C]12[/C][C]-0.020744[/C][C]-0.176[/C][C]0.430387[/C][/ROW]
[ROW][C]13[/C][C]-0.072973[/C][C]-0.6192[/C][C]0.26887[/C][/ROW]
[ROW][C]14[/C][C]-0.058723[/C][C]-0.4983[/C][C]0.309902[/C][/ROW]
[ROW][C]15[/C][C]-0.127455[/C][C]-1.0815[/C][C]0.141544[/C][/ROW]
[ROW][C]16[/C][C]-0.229117[/C][C]-1.9441[/C][C]0.027894[/C][/ROW]
[ROW][C]17[/C][C]-0.239007[/C][C]-2.028[/C][C]0.023129[/C][/ROW]
[ROW][C]18[/C][C]-0.145349[/C][C]-1.2333[/C][C]0.110733[/C][/ROW]
[ROW][C]19[/C][C]-0.099645[/C][C]-0.8455[/C][C]0.200313[/C][/ROW]
[ROW][C]20[/C][C]-0.096719[/C][C]-0.8207[/C][C]0.207267[/C][/ROW]
[ROW][C]21[/C][C]-0.078639[/C][C]-0.6673[/C][C]0.253366[/C][/ROW]
[ROW][C]22[/C][C]-0.029948[/C][C]-0.2541[/C][C]0.400064[/C][/ROW]
[ROW][C]23[/C][C]-0.053362[/C][C]-0.4528[/C][C]0.326031[/C][/ROW]
[ROW][C]24[/C][C]-0.062027[/C][C]-0.5263[/C][C]0.300142[/C][/ROW]
[ROW][C]25[/C][C]-0.017097[/C][C]-0.1451[/C][C]0.442531[/C][/ROW]
[ROW][C]26[/C][C]0.030724[/C][C]0.2607[/C][C]0.397533[/C][/ROW]
[ROW][C]27[/C][C]-0.064687[/C][C]-0.5489[/C][C]0.292389[/C][/ROW]
[ROW][C]28[/C][C]-0.120113[/C][C]-1.0192[/C][C]0.155761[/C][/ROW]
[ROW][C]29[/C][C]-0.025806[/C][C]-0.219[/C][C]0.413645[/C][/ROW]
[ROW][C]30[/C][C]-0.018946[/C][C]-0.1608[/C][C]0.436366[/C][/ROW]
[ROW][C]31[/C][C]-0.009459[/C][C]-0.0803[/C][C]0.468127[/C][/ROW]
[ROW][C]32[/C][C]0.018846[/C][C]0.1599[/C][C]0.436699[/C][/ROW]
[ROW][C]33[/C][C]0.06818[/C][C]0.5785[/C][C]0.282356[/C][/ROW]
[ROW][C]34[/C][C]0.056279[/C][C]0.4775[/C][C]0.317212[/C][/ROW]
[ROW][C]35[/C][C]0.059397[/C][C]0.504[/C][C]0.307899[/C][/ROW]
[ROW][C]36[/C][C]0.117142[/C][C]0.994[/C][C]0.16178[/C][/ROW]
[ROW][C]37[/C][C]0.148305[/C][C]1.2584[/C][C]0.106155[/C][/ROW]
[ROW][C]38[/C][C]0.152809[/C][C]1.2966[/C][C]0.09945[/C][/ROW]
[ROW][C]39[/C][C]0.147914[/C][C]1.2551[/C][C]0.106753[/C][/ROW]
[ROW][C]40[/C][C]0.153542[/C][C]1.3028[/C][C]0.098389[/C][/ROW]
[ROW][C]41[/C][C]0.093092[/C][C]0.7899[/C][C]0.216087[/C][/ROW]
[ROW][C]42[/C][C]0.028489[/C][C]0.2417[/C][C]0.404834[/C][/ROW]
[ROW][C]43[/C][C]0.006924[/C][C]0.0587[/C][C]0.476657[/C][/ROW]
[ROW][C]44[/C][C]0.00604[/C][C]0.0513[/C][C]0.479633[/C][/ROW]
[ROW][C]45[/C][C]-0.004667[/C][C]-0.0396[/C][C]0.484261[/C][/ROW]
[ROW][C]46[/C][C]-0.005317[/C][C]-0.0451[/C][C]0.482069[/C][/ROW]
[ROW][C]47[/C][C]-0.021588[/C][C]-0.1832[/C][C]0.427586[/C][/ROW]
[ROW][C]48[/C][C]-0.053501[/C][C]-0.454[/C][C]0.325607[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41297&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41297&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
10.6955535.9020
20.4933644.18634e-05
30.4197733.56190.000329
40.3585893.04270.001635
50.2338061.98390.02554
60.1411271.19750.117519
70.129271.09690.138172
80.0563260.47790.31707
9-0.019944-0.16920.433044
10-0.002941-0.0250.49008
110.0189590.16090.436323
12-0.020744-0.1760.430387
13-0.072973-0.61920.26887
14-0.058723-0.49830.309902
15-0.127455-1.08150.141544
16-0.229117-1.94410.027894
17-0.239007-2.0280.023129
18-0.145349-1.23330.110733
19-0.099645-0.84550.200313
20-0.096719-0.82070.207267
21-0.078639-0.66730.253366
22-0.029948-0.25410.400064
23-0.053362-0.45280.326031
24-0.062027-0.52630.300142
25-0.017097-0.14510.442531
260.0307240.26070.397533
27-0.064687-0.54890.292389
28-0.120113-1.01920.155761
29-0.025806-0.2190.413645
30-0.018946-0.16080.436366
31-0.009459-0.08030.468127
320.0188460.15990.436699
330.068180.57850.282356
340.0562790.47750.317212
350.0593970.5040.307899
360.1171420.9940.16178
370.1483051.25840.106155
380.1528091.29660.09945
390.1479141.25510.106753
400.1535421.30280.098389
410.0930920.78990.216087
420.0284890.24170.404834
430.0069240.05870.476657
440.006040.05130.479633
45-0.004667-0.03960.484261
46-0.005317-0.04510.482069
47-0.021588-0.18320.427586
48-0.053501-0.4540.325607







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6955535.9020
20.0185390.15730.437721
30.1358051.15230.126495
40.0300430.25490.399753
5-0.111134-0.9430.174416
6-0.032383-0.27480.392138
70.0607340.51530.303944
8-0.107106-0.90880.183237
9-0.042466-0.36030.359825
100.0882750.7490.228137
110.0120240.1020.459511
12-0.05186-0.440.33061
13-0.055109-0.46760.320735
140.0128580.10910.45671
15-0.171132-1.45210.075409
16-0.122395-1.03860.151243
170.0115590.09810.46107
180.1370651.1630.124328
190.0589390.50010.309261
200.024940.21160.416501
21-0.041537-0.35250.362764
220.0124320.10550.45814
23-0.090124-0.76470.223467
24-0.024845-0.21080.416813
250.0302930.2570.398937
260.0825370.70030.242984
27-0.156942-1.33170.09358
28-0.044478-0.37740.353491
290.1643481.39450.083721
30-0.077663-0.6590.256001
310.0637620.5410.295076
32-0.026886-0.22810.410095
33-0.006741-0.05720.477274
340.0064190.05450.478357
350.1135340.96340.169294
360.0355070.30130.382032
370.0485330.41180.340848
380.0677090.57450.2837
39-0.027631-0.23450.40765
40-0.060286-0.51150.305268
41-0.07007-0.59460.276998
42-0.020449-0.17350.431366
43-0.086593-0.73480.232433
44-0.008628-0.07320.470921
450.0545080.46250.322552
460.101260.85920.196537
47-0.043966-0.37310.355099
48-0.056526-0.47960.316468

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.695553 & 5.902 & 0 \tabularnewline
2 & 0.018539 & 0.1573 & 0.437721 \tabularnewline
3 & 0.135805 & 1.1523 & 0.126495 \tabularnewline
4 & 0.030043 & 0.2549 & 0.399753 \tabularnewline
5 & -0.111134 & -0.943 & 0.174416 \tabularnewline
6 & -0.032383 & -0.2748 & 0.392138 \tabularnewline
7 & 0.060734 & 0.5153 & 0.303944 \tabularnewline
8 & -0.107106 & -0.9088 & 0.183237 \tabularnewline
9 & -0.042466 & -0.3603 & 0.359825 \tabularnewline
10 & 0.088275 & 0.749 & 0.228137 \tabularnewline
11 & 0.012024 & 0.102 & 0.459511 \tabularnewline
12 & -0.05186 & -0.44 & 0.33061 \tabularnewline
13 & -0.055109 & -0.4676 & 0.320735 \tabularnewline
14 & 0.012858 & 0.1091 & 0.45671 \tabularnewline
15 & -0.171132 & -1.4521 & 0.075409 \tabularnewline
16 & -0.122395 & -1.0386 & 0.151243 \tabularnewline
17 & 0.011559 & 0.0981 & 0.46107 \tabularnewline
18 & 0.137065 & 1.163 & 0.124328 \tabularnewline
19 & 0.058939 & 0.5001 & 0.309261 \tabularnewline
20 & 0.02494 & 0.2116 & 0.416501 \tabularnewline
21 & -0.041537 & -0.3525 & 0.362764 \tabularnewline
22 & 0.012432 & 0.1055 & 0.45814 \tabularnewline
23 & -0.090124 & -0.7647 & 0.223467 \tabularnewline
24 & -0.024845 & -0.2108 & 0.416813 \tabularnewline
25 & 0.030293 & 0.257 & 0.398937 \tabularnewline
26 & 0.082537 & 0.7003 & 0.242984 \tabularnewline
27 & -0.156942 & -1.3317 & 0.09358 \tabularnewline
28 & -0.044478 & -0.3774 & 0.353491 \tabularnewline
29 & 0.164348 & 1.3945 & 0.083721 \tabularnewline
30 & -0.077663 & -0.659 & 0.256001 \tabularnewline
31 & 0.063762 & 0.541 & 0.295076 \tabularnewline
32 & -0.026886 & -0.2281 & 0.410095 \tabularnewline
33 & -0.006741 & -0.0572 & 0.477274 \tabularnewline
34 & 0.006419 & 0.0545 & 0.478357 \tabularnewline
35 & 0.113534 & 0.9634 & 0.169294 \tabularnewline
36 & 0.035507 & 0.3013 & 0.382032 \tabularnewline
37 & 0.048533 & 0.4118 & 0.340848 \tabularnewline
38 & 0.067709 & 0.5745 & 0.2837 \tabularnewline
39 & -0.027631 & -0.2345 & 0.40765 \tabularnewline
40 & -0.060286 & -0.5115 & 0.305268 \tabularnewline
41 & -0.07007 & -0.5946 & 0.276998 \tabularnewline
42 & -0.020449 & -0.1735 & 0.431366 \tabularnewline
43 & -0.086593 & -0.7348 & 0.232433 \tabularnewline
44 & -0.008628 & -0.0732 & 0.470921 \tabularnewline
45 & 0.054508 & 0.4625 & 0.322552 \tabularnewline
46 & 0.10126 & 0.8592 & 0.196537 \tabularnewline
47 & -0.043966 & -0.3731 & 0.355099 \tabularnewline
48 & -0.056526 & -0.4796 & 0.316468 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41297&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]0.695553[/C][C]5.902[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.018539[/C][C]0.1573[/C][C]0.437721[/C][/ROW]
[ROW][C]3[/C][C]0.135805[/C][C]1.1523[/C][C]0.126495[/C][/ROW]
[ROW][C]4[/C][C]0.030043[/C][C]0.2549[/C][C]0.399753[/C][/ROW]
[ROW][C]5[/C][C]-0.111134[/C][C]-0.943[/C][C]0.174416[/C][/ROW]
[ROW][C]6[/C][C]-0.032383[/C][C]-0.2748[/C][C]0.392138[/C][/ROW]
[ROW][C]7[/C][C]0.060734[/C][C]0.5153[/C][C]0.303944[/C][/ROW]
[ROW][C]8[/C][C]-0.107106[/C][C]-0.9088[/C][C]0.183237[/C][/ROW]
[ROW][C]9[/C][C]-0.042466[/C][C]-0.3603[/C][C]0.359825[/C][/ROW]
[ROW][C]10[/C][C]0.088275[/C][C]0.749[/C][C]0.228137[/C][/ROW]
[ROW][C]11[/C][C]0.012024[/C][C]0.102[/C][C]0.459511[/C][/ROW]
[ROW][C]12[/C][C]-0.05186[/C][C]-0.44[/C][C]0.33061[/C][/ROW]
[ROW][C]13[/C][C]-0.055109[/C][C]-0.4676[/C][C]0.320735[/C][/ROW]
[ROW][C]14[/C][C]0.012858[/C][C]0.1091[/C][C]0.45671[/C][/ROW]
[ROW][C]15[/C][C]-0.171132[/C][C]-1.4521[/C][C]0.075409[/C][/ROW]
[ROW][C]16[/C][C]-0.122395[/C][C]-1.0386[/C][C]0.151243[/C][/ROW]
[ROW][C]17[/C][C]0.011559[/C][C]0.0981[/C][C]0.46107[/C][/ROW]
[ROW][C]18[/C][C]0.137065[/C][C]1.163[/C][C]0.124328[/C][/ROW]
[ROW][C]19[/C][C]0.058939[/C][C]0.5001[/C][C]0.309261[/C][/ROW]
[ROW][C]20[/C][C]0.02494[/C][C]0.2116[/C][C]0.416501[/C][/ROW]
[ROW][C]21[/C][C]-0.041537[/C][C]-0.3525[/C][C]0.362764[/C][/ROW]
[ROW][C]22[/C][C]0.012432[/C][C]0.1055[/C][C]0.45814[/C][/ROW]
[ROW][C]23[/C][C]-0.090124[/C][C]-0.7647[/C][C]0.223467[/C][/ROW]
[ROW][C]24[/C][C]-0.024845[/C][C]-0.2108[/C][C]0.416813[/C][/ROW]
[ROW][C]25[/C][C]0.030293[/C][C]0.257[/C][C]0.398937[/C][/ROW]
[ROW][C]26[/C][C]0.082537[/C][C]0.7003[/C][C]0.242984[/C][/ROW]
[ROW][C]27[/C][C]-0.156942[/C][C]-1.3317[/C][C]0.09358[/C][/ROW]
[ROW][C]28[/C][C]-0.044478[/C][C]-0.3774[/C][C]0.353491[/C][/ROW]
[ROW][C]29[/C][C]0.164348[/C][C]1.3945[/C][C]0.083721[/C][/ROW]
[ROW][C]30[/C][C]-0.077663[/C][C]-0.659[/C][C]0.256001[/C][/ROW]
[ROW][C]31[/C][C]0.063762[/C][C]0.541[/C][C]0.295076[/C][/ROW]
[ROW][C]32[/C][C]-0.026886[/C][C]-0.2281[/C][C]0.410095[/C][/ROW]
[ROW][C]33[/C][C]-0.006741[/C][C]-0.0572[/C][C]0.477274[/C][/ROW]
[ROW][C]34[/C][C]0.006419[/C][C]0.0545[/C][C]0.478357[/C][/ROW]
[ROW][C]35[/C][C]0.113534[/C][C]0.9634[/C][C]0.169294[/C][/ROW]
[ROW][C]36[/C][C]0.035507[/C][C]0.3013[/C][C]0.382032[/C][/ROW]
[ROW][C]37[/C][C]0.048533[/C][C]0.4118[/C][C]0.340848[/C][/ROW]
[ROW][C]38[/C][C]0.067709[/C][C]0.5745[/C][C]0.2837[/C][/ROW]
[ROW][C]39[/C][C]-0.027631[/C][C]-0.2345[/C][C]0.40765[/C][/ROW]
[ROW][C]40[/C][C]-0.060286[/C][C]-0.5115[/C][C]0.305268[/C][/ROW]
[ROW][C]41[/C][C]-0.07007[/C][C]-0.5946[/C][C]0.276998[/C][/ROW]
[ROW][C]42[/C][C]-0.020449[/C][C]-0.1735[/C][C]0.431366[/C][/ROW]
[ROW][C]43[/C][C]-0.086593[/C][C]-0.7348[/C][C]0.232433[/C][/ROW]
[ROW][C]44[/C][C]-0.008628[/C][C]-0.0732[/C][C]0.470921[/C][/ROW]
[ROW][C]45[/C][C]0.054508[/C][C]0.4625[/C][C]0.322552[/C][/ROW]
[ROW][C]46[/C][C]0.10126[/C][C]0.8592[/C][C]0.196537[/C][/ROW]
[ROW][C]47[/C][C]-0.043966[/C][C]-0.3731[/C][C]0.355099[/C][/ROW]
[ROW][C]48[/C][C]-0.056526[/C][C]-0.4796[/C][C]0.316468[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41297&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41297&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
10.6955535.9020
20.0185390.15730.437721
30.1358051.15230.126495
40.0300430.25490.399753
5-0.111134-0.9430.174416
6-0.032383-0.27480.392138
70.0607340.51530.303944
8-0.107106-0.90880.183237
9-0.042466-0.36030.359825
100.0882750.7490.228137
110.0120240.1020.459511
12-0.05186-0.440.33061
13-0.055109-0.46760.320735
140.0128580.10910.45671
15-0.171132-1.45210.075409
16-0.122395-1.03860.151243
170.0115590.09810.46107
180.1370651.1630.124328
190.0589390.50010.309261
200.024940.21160.416501
21-0.041537-0.35250.362764
220.0124320.10550.45814
23-0.090124-0.76470.223467
24-0.024845-0.21080.416813
250.0302930.2570.398937
260.0825370.70030.242984
27-0.156942-1.33170.09358
28-0.044478-0.37740.353491
290.1643481.39450.083721
30-0.077663-0.6590.256001
310.0637620.5410.295076
32-0.026886-0.22810.410095
33-0.006741-0.05720.477274
340.0064190.05450.478357
350.1135340.96340.169294
360.0355070.30130.382032
370.0485330.41180.340848
380.0677090.57450.2837
39-0.027631-0.23450.40765
40-0.060286-0.51150.305268
41-0.07007-0.59460.276998
42-0.020449-0.17350.431366
43-0.086593-0.73480.232433
44-0.008628-0.07320.470921
450.0545080.46250.322552
460.101260.85920.196537
47-0.043966-0.37310.355099
48-0.056526-0.47960.316468



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