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of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 19 Dec 2009 03:25:48 -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/2009/Dec/19/t1261218547uas5niwye82ynkq.htm/, Retrieved Fri, 03 May 2024 21:28:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69479, Retrieved Fri, 03 May 2024 21:28:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Variance Reduction Matrix] [Q2 VRM] [2008-12-07 13:38:56] [74be16979710d4c4e7c6647856088456]
F RMP   [(Partial) Autocorrelation Function] [Q2 ACF 00] [2008-12-07 13:48:21] [74be16979710d4c4e7c6647856088456]
- R  D    [(Partial) Autocorrelation Function] [ACF 00] [2008-12-18 16:04:09] [74be16979710d4c4e7c6647856088456]
-  M          [(Partial) Autocorrelation Function] [Autocorrelation (...] [2009-12-19 10:25:48] [f066b5fba39549422fd1c7a1f2ce0075] [Current]
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Dataseries X:
897262
1133132
1384548
2324057
2502808
2516762
5579822
4945991
2019915
1830905
1251016
949902
923000
1215747
1479112
2371781
2521576
2350559
5673323
4414295
2016902
1958302
1284086
1186305
957833
1255719
1482709
2361136
2508100
2254488
5669953
4227480
2067790
1958419
1318158
1287921
1076982
1293669
1582053
2393005
2310531
2597899
5507587
4194133
2185092
2122018
1413348
1338342
1052655
1370046
1887027
2448017
2550796
2655837
5269499
4247405
2109722
2143145
1582013
1413221
1118520
1478655
2000108
2085234
2651805
2522176
5170142
4150129
2104254
2211398
1505900
1524305
1093144
1449647
1771197
2445932
2678945
2400737
4796880
4118001
2125714
2125515
1508760
1508765
1091075
1514814
1748997
2424406
2747942
2377332
5210706
3882821
2197469
2271155
1618917
1391579
1143249
1445785
1870242
2597788
2436231
2684184
4705109
4331347
2369192
2283947
1749607
1598601
1221234
1497778
1823567
2489908
2532837
2456065
4627018
4276894
2314950
2238987
1652753
1561968
1115878
1596714
1910242
2286450
2772441
2394538
4715128
4402420
2325392
2306683
1725282
1541370
1168142
1457835
1816380
2446552
2575774
2537852
4728097
4372685
2302672
2346402
1689915
1576183




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=69479&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=69479&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69479&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
10.5695376.83440
20.1660641.99280.024089
3-0.020864-0.25040.40133
4-0.333002-3.9965.1e-05
5-0.547758-6.57310
6-0.648622-7.78350
7-0.521239-6.25490
8-0.287158-3.44590.000373
90.0009070.01090.495667
100.1672542.00710.023308
110.5291746.35010
120.89545610.74550
130.5109386.13130
140.1527411.83290.034442
15-0.015597-0.18720.425896
16-0.297853-3.57420.000239
17-0.489524-5.87430
18-0.585653-7.02780
19-0.469033-5.62840
20-0.259613-3.11540.001109
21-0.006671-0.080.468155
220.1484891.78190.038439
230.4724585.66950
240.8031569.63790
250.4650975.58120
260.1376161.65140.050419
27-0.013148-0.15780.437426
28-0.26557-3.18680.000882
29-0.44287-5.31440
30-0.529885-6.35860
31-0.420277-5.04331e-06
32-0.232622-2.79150.00298
33-0.0106-0.12720.449481
340.1364711.63760.051839
350.4172015.00641e-06
360.7173558.60830
370.4246425.09571e-06
380.1258511.51020.06659
39-0.006701-0.08040.468009
40-0.237095-2.84510.002543
41-0.398237-4.77882e-06
42-0.475233-5.70280
43-0.373201-4.47848e-06
44-0.210387-2.52460.006333
45-0.008857-0.10630.457751
460.1224711.46960.071919
470.3613594.33631.4e-05
480.6356537.62780
490.377794.53356e-06
500.1088931.30670.096697
51-0.003317-0.03980.484152
52-0.210174-2.52210.006377
53-0.351459-4.21752.2e-05
54-0.415923-4.99111e-06
55-0.32755-3.93066.6e-05
56-0.185544-2.22650.013766
57-0.00909-0.10910.456644
580.1036851.24420.107721
590.3137923.76550.000121
600.5560756.67290

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.569537 & 6.8344 & 0 \tabularnewline
2 & 0.166064 & 1.9928 & 0.024089 \tabularnewline
3 & -0.020864 & -0.2504 & 0.40133 \tabularnewline
4 & -0.333002 & -3.996 & 5.1e-05 \tabularnewline
5 & -0.547758 & -6.5731 & 0 \tabularnewline
6 & -0.648622 & -7.7835 & 0 \tabularnewline
7 & -0.521239 & -6.2549 & 0 \tabularnewline
8 & -0.287158 & -3.4459 & 0.000373 \tabularnewline
9 & 0.000907 & 0.0109 & 0.495667 \tabularnewline
10 & 0.167254 & 2.0071 & 0.023308 \tabularnewline
11 & 0.529174 & 6.3501 & 0 \tabularnewline
12 & 0.895456 & 10.7455 & 0 \tabularnewline
13 & 0.510938 & 6.1313 & 0 \tabularnewline
14 & 0.152741 & 1.8329 & 0.034442 \tabularnewline
15 & -0.015597 & -0.1872 & 0.425896 \tabularnewline
16 & -0.297853 & -3.5742 & 0.000239 \tabularnewline
17 & -0.489524 & -5.8743 & 0 \tabularnewline
18 & -0.585653 & -7.0278 & 0 \tabularnewline
19 & -0.469033 & -5.6284 & 0 \tabularnewline
20 & -0.259613 & -3.1154 & 0.001109 \tabularnewline
21 & -0.006671 & -0.08 & 0.468155 \tabularnewline
22 & 0.148489 & 1.7819 & 0.038439 \tabularnewline
23 & 0.472458 & 5.6695 & 0 \tabularnewline
24 & 0.803156 & 9.6379 & 0 \tabularnewline
25 & 0.465097 & 5.5812 & 0 \tabularnewline
26 & 0.137616 & 1.6514 & 0.050419 \tabularnewline
27 & -0.013148 & -0.1578 & 0.437426 \tabularnewline
28 & -0.26557 & -3.1868 & 0.000882 \tabularnewline
29 & -0.44287 & -5.3144 & 0 \tabularnewline
30 & -0.529885 & -6.3586 & 0 \tabularnewline
31 & -0.420277 & -5.0433 & 1e-06 \tabularnewline
32 & -0.232622 & -2.7915 & 0.00298 \tabularnewline
33 & -0.0106 & -0.1272 & 0.449481 \tabularnewline
34 & 0.136471 & 1.6376 & 0.051839 \tabularnewline
35 & 0.417201 & 5.0064 & 1e-06 \tabularnewline
36 & 0.717355 & 8.6083 & 0 \tabularnewline
37 & 0.424642 & 5.0957 & 1e-06 \tabularnewline
38 & 0.125851 & 1.5102 & 0.06659 \tabularnewline
39 & -0.006701 & -0.0804 & 0.468009 \tabularnewline
40 & -0.237095 & -2.8451 & 0.002543 \tabularnewline
41 & -0.398237 & -4.7788 & 2e-06 \tabularnewline
42 & -0.475233 & -5.7028 & 0 \tabularnewline
43 & -0.373201 & -4.4784 & 8e-06 \tabularnewline
44 & -0.210387 & -2.5246 & 0.006333 \tabularnewline
45 & -0.008857 & -0.1063 & 0.457751 \tabularnewline
46 & 0.122471 & 1.4696 & 0.071919 \tabularnewline
47 & 0.361359 & 4.3363 & 1.4e-05 \tabularnewline
48 & 0.635653 & 7.6278 & 0 \tabularnewline
49 & 0.37779 & 4.5335 & 6e-06 \tabularnewline
50 & 0.108893 & 1.3067 & 0.096697 \tabularnewline
51 & -0.003317 & -0.0398 & 0.484152 \tabularnewline
52 & -0.210174 & -2.5221 & 0.006377 \tabularnewline
53 & -0.351459 & -4.2175 & 2.2e-05 \tabularnewline
54 & -0.415923 & -4.9911 & 1e-06 \tabularnewline
55 & -0.32755 & -3.9306 & 6.6e-05 \tabularnewline
56 & -0.185544 & -2.2265 & 0.013766 \tabularnewline
57 & -0.00909 & -0.1091 & 0.456644 \tabularnewline
58 & 0.103685 & 1.2442 & 0.107721 \tabularnewline
59 & 0.313792 & 3.7655 & 0.000121 \tabularnewline
60 & 0.556075 & 6.6729 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69479&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]0.569537[/C][C]6.8344[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.166064[/C][C]1.9928[/C][C]0.024089[/C][/ROW]
[ROW][C]3[/C][C]-0.020864[/C][C]-0.2504[/C][C]0.40133[/C][/ROW]
[ROW][C]4[/C][C]-0.333002[/C][C]-3.996[/C][C]5.1e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.547758[/C][C]-6.5731[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]-0.648622[/C][C]-7.7835[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]-0.521239[/C][C]-6.2549[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]-0.287158[/C][C]-3.4459[/C][C]0.000373[/C][/ROW]
[ROW][C]9[/C][C]0.000907[/C][C]0.0109[/C][C]0.495667[/C][/ROW]
[ROW][C]10[/C][C]0.167254[/C][C]2.0071[/C][C]0.023308[/C][/ROW]
[ROW][C]11[/C][C]0.529174[/C][C]6.3501[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.895456[/C][C]10.7455[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.510938[/C][C]6.1313[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.152741[/C][C]1.8329[/C][C]0.034442[/C][/ROW]
[ROW][C]15[/C][C]-0.015597[/C][C]-0.1872[/C][C]0.425896[/C][/ROW]
[ROW][C]16[/C][C]-0.297853[/C][C]-3.5742[/C][C]0.000239[/C][/ROW]
[ROW][C]17[/C][C]-0.489524[/C][C]-5.8743[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]-0.585653[/C][C]-7.0278[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]-0.469033[/C][C]-5.6284[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]-0.259613[/C][C]-3.1154[/C][C]0.001109[/C][/ROW]
[ROW][C]21[/C][C]-0.006671[/C][C]-0.08[/C][C]0.468155[/C][/ROW]
[ROW][C]22[/C][C]0.148489[/C][C]1.7819[/C][C]0.038439[/C][/ROW]
[ROW][C]23[/C][C]0.472458[/C][C]5.6695[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.803156[/C][C]9.6379[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.465097[/C][C]5.5812[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.137616[/C][C]1.6514[/C][C]0.050419[/C][/ROW]
[ROW][C]27[/C][C]-0.013148[/C][C]-0.1578[/C][C]0.437426[/C][/ROW]
[ROW][C]28[/C][C]-0.26557[/C][C]-3.1868[/C][C]0.000882[/C][/ROW]
[ROW][C]29[/C][C]-0.44287[/C][C]-5.3144[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]-0.529885[/C][C]-6.3586[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]-0.420277[/C][C]-5.0433[/C][C]1e-06[/C][/ROW]
[ROW][C]32[/C][C]-0.232622[/C][C]-2.7915[/C][C]0.00298[/C][/ROW]
[ROW][C]33[/C][C]-0.0106[/C][C]-0.1272[/C][C]0.449481[/C][/ROW]
[ROW][C]34[/C][C]0.136471[/C][C]1.6376[/C][C]0.051839[/C][/ROW]
[ROW][C]35[/C][C]0.417201[/C][C]5.0064[/C][C]1e-06[/C][/ROW]
[ROW][C]36[/C][C]0.717355[/C][C]8.6083[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.424642[/C][C]5.0957[/C][C]1e-06[/C][/ROW]
[ROW][C]38[/C][C]0.125851[/C][C]1.5102[/C][C]0.06659[/C][/ROW]
[ROW][C]39[/C][C]-0.006701[/C][C]-0.0804[/C][C]0.468009[/C][/ROW]
[ROW][C]40[/C][C]-0.237095[/C][C]-2.8451[/C][C]0.002543[/C][/ROW]
[ROW][C]41[/C][C]-0.398237[/C][C]-4.7788[/C][C]2e-06[/C][/ROW]
[ROW][C]42[/C][C]-0.475233[/C][C]-5.7028[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]-0.373201[/C][C]-4.4784[/C][C]8e-06[/C][/ROW]
[ROW][C]44[/C][C]-0.210387[/C][C]-2.5246[/C][C]0.006333[/C][/ROW]
[ROW][C]45[/C][C]-0.008857[/C][C]-0.1063[/C][C]0.457751[/C][/ROW]
[ROW][C]46[/C][C]0.122471[/C][C]1.4696[/C][C]0.071919[/C][/ROW]
[ROW][C]47[/C][C]0.361359[/C][C]4.3363[/C][C]1.4e-05[/C][/ROW]
[ROW][C]48[/C][C]0.635653[/C][C]7.6278[/C][C]0[/C][/ROW]
[ROW][C]49[/C][C]0.37779[/C][C]4.5335[/C][C]6e-06[/C][/ROW]
[ROW][C]50[/C][C]0.108893[/C][C]1.3067[/C][C]0.096697[/C][/ROW]
[ROW][C]51[/C][C]-0.003317[/C][C]-0.0398[/C][C]0.484152[/C][/ROW]
[ROW][C]52[/C][C]-0.210174[/C][C]-2.5221[/C][C]0.006377[/C][/ROW]
[ROW][C]53[/C][C]-0.351459[/C][C]-4.2175[/C][C]2.2e-05[/C][/ROW]
[ROW][C]54[/C][C]-0.415923[/C][C]-4.9911[/C][C]1e-06[/C][/ROW]
[ROW][C]55[/C][C]-0.32755[/C][C]-3.9306[/C][C]6.6e-05[/C][/ROW]
[ROW][C]56[/C][C]-0.185544[/C][C]-2.2265[/C][C]0.013766[/C][/ROW]
[ROW][C]57[/C][C]-0.00909[/C][C]-0.1091[/C][C]0.456644[/C][/ROW]
[ROW][C]58[/C][C]0.103685[/C][C]1.2442[/C][C]0.107721[/C][/ROW]
[ROW][C]59[/C][C]0.313792[/C][C]3.7655[/C][C]0.000121[/C][/ROW]
[ROW][C]60[/C][C]0.556075[/C][C]6.6729[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69479&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69479&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
10.5695376.83440
20.1660641.99280.024089
3-0.020864-0.25040.40133
4-0.333002-3.9965.1e-05
5-0.547758-6.57310
6-0.648622-7.78350
7-0.521239-6.25490
8-0.287158-3.44590.000373
90.0009070.01090.495667
100.1672542.00710.023308
110.5291746.35010
120.89545610.74550
130.5109386.13130
140.1527411.83290.034442
15-0.015597-0.18720.425896
16-0.297853-3.57420.000239
17-0.489524-5.87430
18-0.585653-7.02780
19-0.469033-5.62840
20-0.259613-3.11540.001109
21-0.006671-0.080.468155
220.1484891.78190.038439
230.4724585.66950
240.8031569.63790
250.4650975.58120
260.1376161.65140.050419
27-0.013148-0.15780.437426
28-0.26557-3.18680.000882
29-0.44287-5.31440
30-0.529885-6.35860
31-0.420277-5.04331e-06
32-0.232622-2.79150.00298
33-0.0106-0.12720.449481
340.1364711.63760.051839
350.4172015.00641e-06
360.7173558.60830
370.4246425.09571e-06
380.1258511.51020.06659
39-0.006701-0.08040.468009
40-0.237095-2.84510.002543
41-0.398237-4.77882e-06
42-0.475233-5.70280
43-0.373201-4.47848e-06
44-0.210387-2.52460.006333
45-0.008857-0.10630.457751
460.1224711.46960.071919
470.3613594.33631.4e-05
480.6356537.62780
490.377794.53356e-06
500.1088931.30670.096697
51-0.003317-0.03980.484152
52-0.210174-2.52210.006377
53-0.351459-4.21752.2e-05
54-0.415923-4.99111e-06
55-0.32755-3.93066.6e-05
56-0.185544-2.22650.013766
57-0.00909-0.10910.456644
580.1036851.24420.107721
590.3137923.76550.000121
600.5560756.67290







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5695376.83440
2-0.234314-2.81180.002807
3-0.006506-0.07810.468941
4-0.433058-5.19670
5-0.240378-2.88450.002261
6-0.456869-5.48240
7-0.159092-1.90910.029119
8-0.34968-4.19622.4e-05
9-0.106656-1.27990.101325
10-0.637672-7.65210
110.4370485.24460
120.3811024.57325e-06
13-0.375015-4.50027e-06
14-0.015745-0.18890.425201
150.0209030.25080.40115
160.1774242.12910.017474
170.0935541.12260.131729
180.0643070.77170.220785
190.0353570.42430.335995
20-0.053764-0.64520.259922
210.1042561.25110.106468
220.0583130.69980.242604
230.0435610.52270.300983
240.0941791.13010.130147
250.0104670.12560.45011
26-0.032226-0.38670.34977
270.039050.46860.320032
280.0439020.52680.299561
290.0046490.05580.477792
300.0194420.23330.40793
310.0092960.11150.455669
32-0.011158-0.13390.446834
33-0.010406-0.12490.4504
340.0494470.59340.276935
35-0.081993-0.98390.163402
360.0426880.51230.304628
37-0.018834-0.2260.410757
380.0301750.36210.358904
39-0.033562-0.40270.343865
40-0.001552-0.01860.492583
410.0084190.1010.459836
420.0219040.26290.39652
430.0285270.34230.366303
44-0.012939-0.15530.438415
450.0667010.80040.212394
46-0.044573-0.53490.296781
470.0294890.35390.361979
48-0.017696-0.21240.416065
49-0.00411-0.04930.480366
50-0.011074-0.13290.447233
51-0.010031-0.12040.452178
52-0.01826-0.21910.413434
53-0.000685-0.00820.496725
540.002520.03020.487957
55-0.030207-0.36250.358762
560.0038580.04630.481568
57-0.039766-0.47720.316974
58-0.00673-0.08080.467874
590.0266960.32040.374583
60-0.0879-1.05480.146641

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.569537 & 6.8344 & 0 \tabularnewline
2 & -0.234314 & -2.8118 & 0.002807 \tabularnewline
3 & -0.006506 & -0.0781 & 0.468941 \tabularnewline
4 & -0.433058 & -5.1967 & 0 \tabularnewline
5 & -0.240378 & -2.8845 & 0.002261 \tabularnewline
6 & -0.456869 & -5.4824 & 0 \tabularnewline
7 & -0.159092 & -1.9091 & 0.029119 \tabularnewline
8 & -0.34968 & -4.1962 & 2.4e-05 \tabularnewline
9 & -0.106656 & -1.2799 & 0.101325 \tabularnewline
10 & -0.637672 & -7.6521 & 0 \tabularnewline
11 & 0.437048 & 5.2446 & 0 \tabularnewline
12 & 0.381102 & 4.5732 & 5e-06 \tabularnewline
13 & -0.375015 & -4.5002 & 7e-06 \tabularnewline
14 & -0.015745 & -0.1889 & 0.425201 \tabularnewline
15 & 0.020903 & 0.2508 & 0.40115 \tabularnewline
16 & 0.177424 & 2.1291 & 0.017474 \tabularnewline
17 & 0.093554 & 1.1226 & 0.131729 \tabularnewline
18 & 0.064307 & 0.7717 & 0.220785 \tabularnewline
19 & 0.035357 & 0.4243 & 0.335995 \tabularnewline
20 & -0.053764 & -0.6452 & 0.259922 \tabularnewline
21 & 0.104256 & 1.2511 & 0.106468 \tabularnewline
22 & 0.058313 & 0.6998 & 0.242604 \tabularnewline
23 & 0.043561 & 0.5227 & 0.300983 \tabularnewline
24 & 0.094179 & 1.1301 & 0.130147 \tabularnewline
25 & 0.010467 & 0.1256 & 0.45011 \tabularnewline
26 & -0.032226 & -0.3867 & 0.34977 \tabularnewline
27 & 0.03905 & 0.4686 & 0.320032 \tabularnewline
28 & 0.043902 & 0.5268 & 0.299561 \tabularnewline
29 & 0.004649 & 0.0558 & 0.477792 \tabularnewline
30 & 0.019442 & 0.2333 & 0.40793 \tabularnewline
31 & 0.009296 & 0.1115 & 0.455669 \tabularnewline
32 & -0.011158 & -0.1339 & 0.446834 \tabularnewline
33 & -0.010406 & -0.1249 & 0.4504 \tabularnewline
34 & 0.049447 & 0.5934 & 0.276935 \tabularnewline
35 & -0.081993 & -0.9839 & 0.163402 \tabularnewline
36 & 0.042688 & 0.5123 & 0.304628 \tabularnewline
37 & -0.018834 & -0.226 & 0.410757 \tabularnewline
38 & 0.030175 & 0.3621 & 0.358904 \tabularnewline
39 & -0.033562 & -0.4027 & 0.343865 \tabularnewline
40 & -0.001552 & -0.0186 & 0.492583 \tabularnewline
41 & 0.008419 & 0.101 & 0.459836 \tabularnewline
42 & 0.021904 & 0.2629 & 0.39652 \tabularnewline
43 & 0.028527 & 0.3423 & 0.366303 \tabularnewline
44 & -0.012939 & -0.1553 & 0.438415 \tabularnewline
45 & 0.066701 & 0.8004 & 0.212394 \tabularnewline
46 & -0.044573 & -0.5349 & 0.296781 \tabularnewline
47 & 0.029489 & 0.3539 & 0.361979 \tabularnewline
48 & -0.017696 & -0.2124 & 0.416065 \tabularnewline
49 & -0.00411 & -0.0493 & 0.480366 \tabularnewline
50 & -0.011074 & -0.1329 & 0.447233 \tabularnewline
51 & -0.010031 & -0.1204 & 0.452178 \tabularnewline
52 & -0.01826 & -0.2191 & 0.413434 \tabularnewline
53 & -0.000685 & -0.0082 & 0.496725 \tabularnewline
54 & 0.00252 & 0.0302 & 0.487957 \tabularnewline
55 & -0.030207 & -0.3625 & 0.358762 \tabularnewline
56 & 0.003858 & 0.0463 & 0.481568 \tabularnewline
57 & -0.039766 & -0.4772 & 0.316974 \tabularnewline
58 & -0.00673 & -0.0808 & 0.467874 \tabularnewline
59 & 0.026696 & 0.3204 & 0.374583 \tabularnewline
60 & -0.0879 & -1.0548 & 0.146641 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69479&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]0.569537[/C][C]6.8344[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.234314[/C][C]-2.8118[/C][C]0.002807[/C][/ROW]
[ROW][C]3[/C][C]-0.006506[/C][C]-0.0781[/C][C]0.468941[/C][/ROW]
[ROW][C]4[/C][C]-0.433058[/C][C]-5.1967[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]-0.240378[/C][C]-2.8845[/C][C]0.002261[/C][/ROW]
[ROW][C]6[/C][C]-0.456869[/C][C]-5.4824[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]-0.159092[/C][C]-1.9091[/C][C]0.029119[/C][/ROW]
[ROW][C]8[/C][C]-0.34968[/C][C]-4.1962[/C][C]2.4e-05[/C][/ROW]
[ROW][C]9[/C][C]-0.106656[/C][C]-1.2799[/C][C]0.101325[/C][/ROW]
[ROW][C]10[/C][C]-0.637672[/C][C]-7.6521[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.437048[/C][C]5.2446[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.381102[/C][C]4.5732[/C][C]5e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.375015[/C][C]-4.5002[/C][C]7e-06[/C][/ROW]
[ROW][C]14[/C][C]-0.015745[/C][C]-0.1889[/C][C]0.425201[/C][/ROW]
[ROW][C]15[/C][C]0.020903[/C][C]0.2508[/C][C]0.40115[/C][/ROW]
[ROW][C]16[/C][C]0.177424[/C][C]2.1291[/C][C]0.017474[/C][/ROW]
[ROW][C]17[/C][C]0.093554[/C][C]1.1226[/C][C]0.131729[/C][/ROW]
[ROW][C]18[/C][C]0.064307[/C][C]0.7717[/C][C]0.220785[/C][/ROW]
[ROW][C]19[/C][C]0.035357[/C][C]0.4243[/C][C]0.335995[/C][/ROW]
[ROW][C]20[/C][C]-0.053764[/C][C]-0.6452[/C][C]0.259922[/C][/ROW]
[ROW][C]21[/C][C]0.104256[/C][C]1.2511[/C][C]0.106468[/C][/ROW]
[ROW][C]22[/C][C]0.058313[/C][C]0.6998[/C][C]0.242604[/C][/ROW]
[ROW][C]23[/C][C]0.043561[/C][C]0.5227[/C][C]0.300983[/C][/ROW]
[ROW][C]24[/C][C]0.094179[/C][C]1.1301[/C][C]0.130147[/C][/ROW]
[ROW][C]25[/C][C]0.010467[/C][C]0.1256[/C][C]0.45011[/C][/ROW]
[ROW][C]26[/C][C]-0.032226[/C][C]-0.3867[/C][C]0.34977[/C][/ROW]
[ROW][C]27[/C][C]0.03905[/C][C]0.4686[/C][C]0.320032[/C][/ROW]
[ROW][C]28[/C][C]0.043902[/C][C]0.5268[/C][C]0.299561[/C][/ROW]
[ROW][C]29[/C][C]0.004649[/C][C]0.0558[/C][C]0.477792[/C][/ROW]
[ROW][C]30[/C][C]0.019442[/C][C]0.2333[/C][C]0.40793[/C][/ROW]
[ROW][C]31[/C][C]0.009296[/C][C]0.1115[/C][C]0.455669[/C][/ROW]
[ROW][C]32[/C][C]-0.011158[/C][C]-0.1339[/C][C]0.446834[/C][/ROW]
[ROW][C]33[/C][C]-0.010406[/C][C]-0.1249[/C][C]0.4504[/C][/ROW]
[ROW][C]34[/C][C]0.049447[/C][C]0.5934[/C][C]0.276935[/C][/ROW]
[ROW][C]35[/C][C]-0.081993[/C][C]-0.9839[/C][C]0.163402[/C][/ROW]
[ROW][C]36[/C][C]0.042688[/C][C]0.5123[/C][C]0.304628[/C][/ROW]
[ROW][C]37[/C][C]-0.018834[/C][C]-0.226[/C][C]0.410757[/C][/ROW]
[ROW][C]38[/C][C]0.030175[/C][C]0.3621[/C][C]0.358904[/C][/ROW]
[ROW][C]39[/C][C]-0.033562[/C][C]-0.4027[/C][C]0.343865[/C][/ROW]
[ROW][C]40[/C][C]-0.001552[/C][C]-0.0186[/C][C]0.492583[/C][/ROW]
[ROW][C]41[/C][C]0.008419[/C][C]0.101[/C][C]0.459836[/C][/ROW]
[ROW][C]42[/C][C]0.021904[/C][C]0.2629[/C][C]0.39652[/C][/ROW]
[ROW][C]43[/C][C]0.028527[/C][C]0.3423[/C][C]0.366303[/C][/ROW]
[ROW][C]44[/C][C]-0.012939[/C][C]-0.1553[/C][C]0.438415[/C][/ROW]
[ROW][C]45[/C][C]0.066701[/C][C]0.8004[/C][C]0.212394[/C][/ROW]
[ROW][C]46[/C][C]-0.044573[/C][C]-0.5349[/C][C]0.296781[/C][/ROW]
[ROW][C]47[/C][C]0.029489[/C][C]0.3539[/C][C]0.361979[/C][/ROW]
[ROW][C]48[/C][C]-0.017696[/C][C]-0.2124[/C][C]0.416065[/C][/ROW]
[ROW][C]49[/C][C]-0.00411[/C][C]-0.0493[/C][C]0.480366[/C][/ROW]
[ROW][C]50[/C][C]-0.011074[/C][C]-0.1329[/C][C]0.447233[/C][/ROW]
[ROW][C]51[/C][C]-0.010031[/C][C]-0.1204[/C][C]0.452178[/C][/ROW]
[ROW][C]52[/C][C]-0.01826[/C][C]-0.2191[/C][C]0.413434[/C][/ROW]
[ROW][C]53[/C][C]-0.000685[/C][C]-0.0082[/C][C]0.496725[/C][/ROW]
[ROW][C]54[/C][C]0.00252[/C][C]0.0302[/C][C]0.487957[/C][/ROW]
[ROW][C]55[/C][C]-0.030207[/C][C]-0.3625[/C][C]0.358762[/C][/ROW]
[ROW][C]56[/C][C]0.003858[/C][C]0.0463[/C][C]0.481568[/C][/ROW]
[ROW][C]57[/C][C]-0.039766[/C][C]-0.4772[/C][C]0.316974[/C][/ROW]
[ROW][C]58[/C][C]-0.00673[/C][C]-0.0808[/C][C]0.467874[/C][/ROW]
[ROW][C]59[/C][C]0.026696[/C][C]0.3204[/C][C]0.374583[/C][/ROW]
[ROW][C]60[/C][C]-0.0879[/C][C]-1.0548[/C][C]0.146641[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69479&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69479&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
10.5695376.83440
2-0.234314-2.81180.002807
3-0.006506-0.07810.468941
4-0.433058-5.19670
5-0.240378-2.88450.002261
6-0.456869-5.48240
7-0.159092-1.90910.029119
8-0.34968-4.19622.4e-05
9-0.106656-1.27990.101325
10-0.637672-7.65210
110.4370485.24460
120.3811024.57325e-06
13-0.375015-4.50027e-06
14-0.015745-0.18890.425201
150.0209030.25080.40115
160.1774242.12910.017474
170.0935541.12260.131729
180.0643070.77170.220785
190.0353570.42430.335995
20-0.053764-0.64520.259922
210.1042561.25110.106468
220.0583130.69980.242604
230.0435610.52270.300983
240.0941791.13010.130147
250.0104670.12560.45011
26-0.032226-0.38670.34977
270.039050.46860.320032
280.0439020.52680.299561
290.0046490.05580.477792
300.0194420.23330.40793
310.0092960.11150.455669
32-0.011158-0.13390.446834
33-0.010406-0.12490.4504
340.0494470.59340.276935
35-0.081993-0.98390.163402
360.0426880.51230.304628
37-0.018834-0.2260.410757
380.0301750.36210.358904
39-0.033562-0.40270.343865
40-0.001552-0.01860.492583
410.0084190.1010.459836
420.0219040.26290.39652
430.0285270.34230.366303
44-0.012939-0.15530.438415
450.0667010.80040.212394
46-0.044573-0.53490.296781
470.0294890.35390.361979
48-0.017696-0.21240.416065
49-0.00411-0.04930.480366
50-0.011074-0.13290.447233
51-0.010031-0.12040.452178
52-0.01826-0.21910.413434
53-0.000685-0.00820.496725
540.002520.03020.487957
55-0.030207-0.36250.358762
560.0038580.04630.481568
57-0.039766-0.47720.316974
58-0.00673-0.08080.467874
590.0266960.32040.374583
60-0.0879-1.05480.146641



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')