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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 computationThu, 04 Dec 2008 11:04:26 -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/2008/Dec/04/t1228413976zpfn013qtrqsb8w.htm/, Retrieved Sun, 19 May 2024 04:12:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28990, Retrieved Sun, 19 May 2024 04:12:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Uitvoer Amerika -...] [2008-12-04 17:15:44] [9e54d1454d464f1bf9ee4a54d5d56945]
-   PD    [(Partial) Autocorrelation Function] [Uitvoer Amerika (...] [2008-12-04 18:04:26] [8da7502cfecb272886bc60b3f290b8b8] [Current]
-   P       [(Partial) Autocorrelation Function] [Uitvoer Amerika (...] [2008-12-04 18:20:00] [9e54d1454d464f1bf9ee4a54d5d56945]
- RMPD      [Spectral Analysis] [Uitvoer EU - Spec...] [2008-12-04 18:27:53] [9e54d1454d464f1bf9ee4a54d5d56945]
-   PD        [Spectral Analysis] [Uitvoer EU - Spec...] [2008-12-04 18:31:05] [9e54d1454d464f1bf9ee4a54d5d56945]
-               [Spectral Analysis] [Uitvoer EU - Spec...] [2008-12-04 18:35:26] [9e54d1454d464f1bf9ee4a54d5d56945]
-    D          [Spectral Analysis] [Uitvoer Amerika -...] [2008-12-04 18:39:59] [9e54d1454d464f1bf9ee4a54d5d56945]
-    D            [Spectral Analysis] [Uitvoer Amerika -...] [2008-12-04 18:42:21] [9e54d1454d464f1bf9ee4a54d5d56945]
-                   [Spectral Analysis] [Uitvoer Amerika -...] [2008-12-04 19:16:42] [9e54d1454d464f1bf9ee4a54d5d56945]
-                     [Spectral Analysis] [Uitvoer Amerika -...] [2008-12-04 19:19:10] [9e54d1454d464f1bf9ee4a54d5d56945]
-    D            [Spectral Analysis] [Uitvoer EU - Spec...] [2008-12-04 18:44:57] [9e54d1454d464f1bf9ee4a54d5d56945]
-    D              [Spectral Analysis] [Uitvoer EU - Spec...] [2008-12-04 18:46:21] [9e54d1454d464f1bf9ee4a54d5d56945]
-                     [Spectral Analysis] [Uitvoer Amerika -...] [2008-12-04 18:47:59] [9e54d1454d464f1bf9ee4a54d5d56945]
-                     [Spectral Analysis] [Uitvoer EU - Spec...] [2008-12-04 18:51:00] [9e54d1454d464f1bf9ee4a54d5d56945]
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Dataseries X:
1190.8
728.8
995.6
1260.3
994
957.3
975.6
884.9
908.4
1022.8
958.6
825.1
1116.6
724.2
1004.5
1058.9
854.7
943.4
792.4
873.2
1101.4
987.1
1038.8
1060.7
1047.7
840
1044
1097.4
987.5
934
977
881.1
1083.3
1074.7
1182.2
1117.5
1117.4
936.2
1246.3
1175.1
1177.7
1035.8
1091.6
998.7
1247.9
1034.7
1287.7
994.0
1122.8
1017.3
1106.0
1191.8
1030.1
989.4
979.6
1088.0
1389.2
1043.9
1182.1
1109.6
1463.3
1276.2
1082.4
1360.4
1130.2
1019.6
1077.0
958.8
959.6
907.2
880.8
759.6
1137.2




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=28990&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=28990&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28990&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
1-0.499449-4.2383.3e-05
20.0167880.14240.443561
30.0104440.08860.464814
4-0.009634-0.08170.467538
5-0.004118-0.03490.486111
60.1119310.94980.172704
7-0.094932-0.80550.211585
8-0.00369-0.03130.487554
9-0.07017-0.59540.276717
100.1176880.99860.160663
11-0.324314-2.75190.003746
120.5075784.30692.6e-05
13-0.317617-2.69510.004377
140.1170160.99290.162039
15-0.115316-0.97850.165554
160.0143350.12160.451764
170.0765050.64920.259147
180.1099260.93280.177031
19-0.18426-1.56350.061161
200.0818860.69480.244699
21-0.067136-0.56970.285337
220.066510.56440.287132
23-0.13331-1.13120.130868
240.2666272.26240.013345
25-0.199228-1.69050.047629
260.0713920.60580.273283
27-0.080821-0.68580.247524
280.0514710.43670.331802
290.00420.03560.485836
300.066510.56440.287134
31-0.116114-0.98530.163897
320.0731360.62060.268418
33-0.141717-1.20250.116553
340.1600971.35850.089278
35-0.171715-1.45710.074725
360.206091.74870.042299
37-0.087296-0.74070.230633
38-0.060494-0.51330.304652
390.0214590.18210.428014
400.0314660.2670.395117
410.0635410.53920.29572
42-0.038239-0.32450.373261
43-0.04374-0.37110.355809
440.071010.60250.274354
45-0.169389-1.43730.07748
460.2240761.90130.030629
47-0.180034-1.52760.065492
480.1062090.90120.18524
490.0066170.05610.47769
50-0.125116-1.06160.145973
510.0766880.65070.25865
520.0043140.03660.485449
530.0515910.43780.331434
54-0.007216-0.06120.475674
55-0.079126-0.67140.252055
56-0.006578-0.05580.477823
570.0364940.30970.378856
580.1122760.95270.171966
59-0.218349-1.85280.034008
600.1296991.10050.137382

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.499449 & -4.238 & 3.3e-05 \tabularnewline
2 & 0.016788 & 0.1424 & 0.443561 \tabularnewline
3 & 0.010444 & 0.0886 & 0.464814 \tabularnewline
4 & -0.009634 & -0.0817 & 0.467538 \tabularnewline
5 & -0.004118 & -0.0349 & 0.486111 \tabularnewline
6 & 0.111931 & 0.9498 & 0.172704 \tabularnewline
7 & -0.094932 & -0.8055 & 0.211585 \tabularnewline
8 & -0.00369 & -0.0313 & 0.487554 \tabularnewline
9 & -0.07017 & -0.5954 & 0.276717 \tabularnewline
10 & 0.117688 & 0.9986 & 0.160663 \tabularnewline
11 & -0.324314 & -2.7519 & 0.003746 \tabularnewline
12 & 0.507578 & 4.3069 & 2.6e-05 \tabularnewline
13 & -0.317617 & -2.6951 & 0.004377 \tabularnewline
14 & 0.117016 & 0.9929 & 0.162039 \tabularnewline
15 & -0.115316 & -0.9785 & 0.165554 \tabularnewline
16 & 0.014335 & 0.1216 & 0.451764 \tabularnewline
17 & 0.076505 & 0.6492 & 0.259147 \tabularnewline
18 & 0.109926 & 0.9328 & 0.177031 \tabularnewline
19 & -0.18426 & -1.5635 & 0.061161 \tabularnewline
20 & 0.081886 & 0.6948 & 0.244699 \tabularnewline
21 & -0.067136 & -0.5697 & 0.285337 \tabularnewline
22 & 0.06651 & 0.5644 & 0.287132 \tabularnewline
23 & -0.13331 & -1.1312 & 0.130868 \tabularnewline
24 & 0.266627 & 2.2624 & 0.013345 \tabularnewline
25 & -0.199228 & -1.6905 & 0.047629 \tabularnewline
26 & 0.071392 & 0.6058 & 0.273283 \tabularnewline
27 & -0.080821 & -0.6858 & 0.247524 \tabularnewline
28 & 0.051471 & 0.4367 & 0.331802 \tabularnewline
29 & 0.0042 & 0.0356 & 0.485836 \tabularnewline
30 & 0.06651 & 0.5644 & 0.287134 \tabularnewline
31 & -0.116114 & -0.9853 & 0.163897 \tabularnewline
32 & 0.073136 & 0.6206 & 0.268418 \tabularnewline
33 & -0.141717 & -1.2025 & 0.116553 \tabularnewline
34 & 0.160097 & 1.3585 & 0.089278 \tabularnewline
35 & -0.171715 & -1.4571 & 0.074725 \tabularnewline
36 & 0.20609 & 1.7487 & 0.042299 \tabularnewline
37 & -0.087296 & -0.7407 & 0.230633 \tabularnewline
38 & -0.060494 & -0.5133 & 0.304652 \tabularnewline
39 & 0.021459 & 0.1821 & 0.428014 \tabularnewline
40 & 0.031466 & 0.267 & 0.395117 \tabularnewline
41 & 0.063541 & 0.5392 & 0.29572 \tabularnewline
42 & -0.038239 & -0.3245 & 0.373261 \tabularnewline
43 & -0.04374 & -0.3711 & 0.355809 \tabularnewline
44 & 0.07101 & 0.6025 & 0.274354 \tabularnewline
45 & -0.169389 & -1.4373 & 0.07748 \tabularnewline
46 & 0.224076 & 1.9013 & 0.030629 \tabularnewline
47 & -0.180034 & -1.5276 & 0.065492 \tabularnewline
48 & 0.106209 & 0.9012 & 0.18524 \tabularnewline
49 & 0.006617 & 0.0561 & 0.47769 \tabularnewline
50 & -0.125116 & -1.0616 & 0.145973 \tabularnewline
51 & 0.076688 & 0.6507 & 0.25865 \tabularnewline
52 & 0.004314 & 0.0366 & 0.485449 \tabularnewline
53 & 0.051591 & 0.4378 & 0.331434 \tabularnewline
54 & -0.007216 & -0.0612 & 0.475674 \tabularnewline
55 & -0.079126 & -0.6714 & 0.252055 \tabularnewline
56 & -0.006578 & -0.0558 & 0.477823 \tabularnewline
57 & 0.036494 & 0.3097 & 0.378856 \tabularnewline
58 & 0.112276 & 0.9527 & 0.171966 \tabularnewline
59 & -0.218349 & -1.8528 & 0.034008 \tabularnewline
60 & 0.129699 & 1.1005 & 0.137382 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28990&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]-0.499449[/C][C]-4.238[/C][C]3.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.016788[/C][C]0.1424[/C][C]0.443561[/C][/ROW]
[ROW][C]3[/C][C]0.010444[/C][C]0.0886[/C][C]0.464814[/C][/ROW]
[ROW][C]4[/C][C]-0.009634[/C][C]-0.0817[/C][C]0.467538[/C][/ROW]
[ROW][C]5[/C][C]-0.004118[/C][C]-0.0349[/C][C]0.486111[/C][/ROW]
[ROW][C]6[/C][C]0.111931[/C][C]0.9498[/C][C]0.172704[/C][/ROW]
[ROW][C]7[/C][C]-0.094932[/C][C]-0.8055[/C][C]0.211585[/C][/ROW]
[ROW][C]8[/C][C]-0.00369[/C][C]-0.0313[/C][C]0.487554[/C][/ROW]
[ROW][C]9[/C][C]-0.07017[/C][C]-0.5954[/C][C]0.276717[/C][/ROW]
[ROW][C]10[/C][C]0.117688[/C][C]0.9986[/C][C]0.160663[/C][/ROW]
[ROW][C]11[/C][C]-0.324314[/C][C]-2.7519[/C][C]0.003746[/C][/ROW]
[ROW][C]12[/C][C]0.507578[/C][C]4.3069[/C][C]2.6e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.317617[/C][C]-2.6951[/C][C]0.004377[/C][/ROW]
[ROW][C]14[/C][C]0.117016[/C][C]0.9929[/C][C]0.162039[/C][/ROW]
[ROW][C]15[/C][C]-0.115316[/C][C]-0.9785[/C][C]0.165554[/C][/ROW]
[ROW][C]16[/C][C]0.014335[/C][C]0.1216[/C][C]0.451764[/C][/ROW]
[ROW][C]17[/C][C]0.076505[/C][C]0.6492[/C][C]0.259147[/C][/ROW]
[ROW][C]18[/C][C]0.109926[/C][C]0.9328[/C][C]0.177031[/C][/ROW]
[ROW][C]19[/C][C]-0.18426[/C][C]-1.5635[/C][C]0.061161[/C][/ROW]
[ROW][C]20[/C][C]0.081886[/C][C]0.6948[/C][C]0.244699[/C][/ROW]
[ROW][C]21[/C][C]-0.067136[/C][C]-0.5697[/C][C]0.285337[/C][/ROW]
[ROW][C]22[/C][C]0.06651[/C][C]0.5644[/C][C]0.287132[/C][/ROW]
[ROW][C]23[/C][C]-0.13331[/C][C]-1.1312[/C][C]0.130868[/C][/ROW]
[ROW][C]24[/C][C]0.266627[/C][C]2.2624[/C][C]0.013345[/C][/ROW]
[ROW][C]25[/C][C]-0.199228[/C][C]-1.6905[/C][C]0.047629[/C][/ROW]
[ROW][C]26[/C][C]0.071392[/C][C]0.6058[/C][C]0.273283[/C][/ROW]
[ROW][C]27[/C][C]-0.080821[/C][C]-0.6858[/C][C]0.247524[/C][/ROW]
[ROW][C]28[/C][C]0.051471[/C][C]0.4367[/C][C]0.331802[/C][/ROW]
[ROW][C]29[/C][C]0.0042[/C][C]0.0356[/C][C]0.485836[/C][/ROW]
[ROW][C]30[/C][C]0.06651[/C][C]0.5644[/C][C]0.287134[/C][/ROW]
[ROW][C]31[/C][C]-0.116114[/C][C]-0.9853[/C][C]0.163897[/C][/ROW]
[ROW][C]32[/C][C]0.073136[/C][C]0.6206[/C][C]0.268418[/C][/ROW]
[ROW][C]33[/C][C]-0.141717[/C][C]-1.2025[/C][C]0.116553[/C][/ROW]
[ROW][C]34[/C][C]0.160097[/C][C]1.3585[/C][C]0.089278[/C][/ROW]
[ROW][C]35[/C][C]-0.171715[/C][C]-1.4571[/C][C]0.074725[/C][/ROW]
[ROW][C]36[/C][C]0.20609[/C][C]1.7487[/C][C]0.042299[/C][/ROW]
[ROW][C]37[/C][C]-0.087296[/C][C]-0.7407[/C][C]0.230633[/C][/ROW]
[ROW][C]38[/C][C]-0.060494[/C][C]-0.5133[/C][C]0.304652[/C][/ROW]
[ROW][C]39[/C][C]0.021459[/C][C]0.1821[/C][C]0.428014[/C][/ROW]
[ROW][C]40[/C][C]0.031466[/C][C]0.267[/C][C]0.395117[/C][/ROW]
[ROW][C]41[/C][C]0.063541[/C][C]0.5392[/C][C]0.29572[/C][/ROW]
[ROW][C]42[/C][C]-0.038239[/C][C]-0.3245[/C][C]0.373261[/C][/ROW]
[ROW][C]43[/C][C]-0.04374[/C][C]-0.3711[/C][C]0.355809[/C][/ROW]
[ROW][C]44[/C][C]0.07101[/C][C]0.6025[/C][C]0.274354[/C][/ROW]
[ROW][C]45[/C][C]-0.169389[/C][C]-1.4373[/C][C]0.07748[/C][/ROW]
[ROW][C]46[/C][C]0.224076[/C][C]1.9013[/C][C]0.030629[/C][/ROW]
[ROW][C]47[/C][C]-0.180034[/C][C]-1.5276[/C][C]0.065492[/C][/ROW]
[ROW][C]48[/C][C]0.106209[/C][C]0.9012[/C][C]0.18524[/C][/ROW]
[ROW][C]49[/C][C]0.006617[/C][C]0.0561[/C][C]0.47769[/C][/ROW]
[ROW][C]50[/C][C]-0.125116[/C][C]-1.0616[/C][C]0.145973[/C][/ROW]
[ROW][C]51[/C][C]0.076688[/C][C]0.6507[/C][C]0.25865[/C][/ROW]
[ROW][C]52[/C][C]0.004314[/C][C]0.0366[/C][C]0.485449[/C][/ROW]
[ROW][C]53[/C][C]0.051591[/C][C]0.4378[/C][C]0.331434[/C][/ROW]
[ROW][C]54[/C][C]-0.007216[/C][C]-0.0612[/C][C]0.475674[/C][/ROW]
[ROW][C]55[/C][C]-0.079126[/C][C]-0.6714[/C][C]0.252055[/C][/ROW]
[ROW][C]56[/C][C]-0.006578[/C][C]-0.0558[/C][C]0.477823[/C][/ROW]
[ROW][C]57[/C][C]0.036494[/C][C]0.3097[/C][C]0.378856[/C][/ROW]
[ROW][C]58[/C][C]0.112276[/C][C]0.9527[/C][C]0.171966[/C][/ROW]
[ROW][C]59[/C][C]-0.218349[/C][C]-1.8528[/C][C]0.034008[/C][/ROW]
[ROW][C]60[/C][C]0.129699[/C][C]1.1005[/C][C]0.137382[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28990&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28990&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
1-0.499449-4.2383.3e-05
20.0167880.14240.443561
30.0104440.08860.464814
4-0.009634-0.08170.467538
5-0.004118-0.03490.486111
60.1119310.94980.172704
7-0.094932-0.80550.211585
8-0.00369-0.03130.487554
9-0.07017-0.59540.276717
100.1176880.99860.160663
11-0.324314-2.75190.003746
120.5075784.30692.6e-05
13-0.317617-2.69510.004377
140.1170160.99290.162039
15-0.115316-0.97850.165554
160.0143350.12160.451764
170.0765050.64920.259147
180.1099260.93280.177031
19-0.18426-1.56350.061161
200.0818860.69480.244699
21-0.067136-0.56970.285337
220.066510.56440.287132
23-0.13331-1.13120.130868
240.2666272.26240.013345
25-0.199228-1.69050.047629
260.0713920.60580.273283
27-0.080821-0.68580.247524
280.0514710.43670.331802
290.00420.03560.485836
300.066510.56440.287134
31-0.116114-0.98530.163897
320.0731360.62060.268418
33-0.141717-1.20250.116553
340.1600971.35850.089278
35-0.171715-1.45710.074725
360.206091.74870.042299
37-0.087296-0.74070.230633
38-0.060494-0.51330.304652
390.0214590.18210.428014
400.0314660.2670.395117
410.0635410.53920.29572
42-0.038239-0.32450.373261
43-0.04374-0.37110.355809
440.071010.60250.274354
45-0.169389-1.43730.07748
460.2240761.90130.030629
47-0.180034-1.52760.065492
480.1062090.90120.18524
490.0066170.05610.47769
50-0.125116-1.06160.145973
510.0766880.65070.25865
520.0043140.03660.485449
530.0515910.43780.331434
54-0.007216-0.06120.475674
55-0.079126-0.67140.252055
56-0.006578-0.05580.477823
570.0364940.30970.378856
580.1122760.95270.171966
59-0.218349-1.85280.034008
600.1296991.10050.137382







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.499449-4.2383.3e-05
2-0.309988-2.63030.005213
3-0.196624-1.66840.049789
4-0.142601-1.210.115117
5-0.113083-0.95950.170249
60.0866990.73570.232162
70.0474410.40260.344234
80.0018860.0160.493637
9-0.141493-1.20060.11692
10-0.02403-0.20390.419504
11-0.475134-4.03166.8e-05
120.1374871.16660.123608
13-0.039067-0.33150.370618
140.1823261.54710.063114
15-0.059881-0.50810.306465
16-0.100049-0.84890.199362
17-0.038964-0.33060.370944
180.0973450.8260.205767
19-0.045837-0.38890.349233
200.0060580.05140.479574
210.029090.24680.402868
22-0.082906-0.70350.242012
23-0.022236-0.18870.425438
24-0.027311-0.23170.408698
250.1219591.03490.152099
260.0074830.06350.474775
270.0514080.43620.331995
280.0375010.31820.375624
290.0237070.20120.420569
30-0.108901-0.92410.179272
31-0.043889-0.37240.35534
320.0046370.03940.48436
33-0.113098-0.95970.170217
340.0255840.21710.414378
35-0.205134-1.74060.043011
360.0372060.31570.376569
370.0488440.41450.339886
38-0.073904-0.62710.266289
390.0069370.05890.476612
40-0.047707-0.40480.343409
410.1144440.97110.167377
42-0.121165-1.02810.153668
430.0356120.30220.381694
44-0.064429-0.54670.293139
45-0.052041-0.44160.330057
46-0.051128-0.43380.332853
470.0192470.16330.435364
48-0.036884-0.3130.377603
490.0406340.34480.365628
50-0.034162-0.28990.386374
51-0.007604-0.06450.474366
520.0616430.52310.301269
53-0.037378-0.31720.376018
540.0866450.73520.232301
55-0.063373-0.53770.296208
56-0.124008-1.05220.148103
570.0250650.21270.416087
580.0384970.32670.372436
59-0.107513-0.91230.182334
60-0.039704-0.33690.368587

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.499449 & -4.238 & 3.3e-05 \tabularnewline
2 & -0.309988 & -2.6303 & 0.005213 \tabularnewline
3 & -0.196624 & -1.6684 & 0.049789 \tabularnewline
4 & -0.142601 & -1.21 & 0.115117 \tabularnewline
5 & -0.113083 & -0.9595 & 0.170249 \tabularnewline
6 & 0.086699 & 0.7357 & 0.232162 \tabularnewline
7 & 0.047441 & 0.4026 & 0.344234 \tabularnewline
8 & 0.001886 & 0.016 & 0.493637 \tabularnewline
9 & -0.141493 & -1.2006 & 0.11692 \tabularnewline
10 & -0.02403 & -0.2039 & 0.419504 \tabularnewline
11 & -0.475134 & -4.0316 & 6.8e-05 \tabularnewline
12 & 0.137487 & 1.1666 & 0.123608 \tabularnewline
13 & -0.039067 & -0.3315 & 0.370618 \tabularnewline
14 & 0.182326 & 1.5471 & 0.063114 \tabularnewline
15 & -0.059881 & -0.5081 & 0.306465 \tabularnewline
16 & -0.100049 & -0.8489 & 0.199362 \tabularnewline
17 & -0.038964 & -0.3306 & 0.370944 \tabularnewline
18 & 0.097345 & 0.826 & 0.205767 \tabularnewline
19 & -0.045837 & -0.3889 & 0.349233 \tabularnewline
20 & 0.006058 & 0.0514 & 0.479574 \tabularnewline
21 & 0.02909 & 0.2468 & 0.402868 \tabularnewline
22 & -0.082906 & -0.7035 & 0.242012 \tabularnewline
23 & -0.022236 & -0.1887 & 0.425438 \tabularnewline
24 & -0.027311 & -0.2317 & 0.408698 \tabularnewline
25 & 0.121959 & 1.0349 & 0.152099 \tabularnewline
26 & 0.007483 & 0.0635 & 0.474775 \tabularnewline
27 & 0.051408 & 0.4362 & 0.331995 \tabularnewline
28 & 0.037501 & 0.3182 & 0.375624 \tabularnewline
29 & 0.023707 & 0.2012 & 0.420569 \tabularnewline
30 & -0.108901 & -0.9241 & 0.179272 \tabularnewline
31 & -0.043889 & -0.3724 & 0.35534 \tabularnewline
32 & 0.004637 & 0.0394 & 0.48436 \tabularnewline
33 & -0.113098 & -0.9597 & 0.170217 \tabularnewline
34 & 0.025584 & 0.2171 & 0.414378 \tabularnewline
35 & -0.205134 & -1.7406 & 0.043011 \tabularnewline
36 & 0.037206 & 0.3157 & 0.376569 \tabularnewline
37 & 0.048844 & 0.4145 & 0.339886 \tabularnewline
38 & -0.073904 & -0.6271 & 0.266289 \tabularnewline
39 & 0.006937 & 0.0589 & 0.476612 \tabularnewline
40 & -0.047707 & -0.4048 & 0.343409 \tabularnewline
41 & 0.114444 & 0.9711 & 0.167377 \tabularnewline
42 & -0.121165 & -1.0281 & 0.153668 \tabularnewline
43 & 0.035612 & 0.3022 & 0.381694 \tabularnewline
44 & -0.064429 & -0.5467 & 0.293139 \tabularnewline
45 & -0.052041 & -0.4416 & 0.330057 \tabularnewline
46 & -0.051128 & -0.4338 & 0.332853 \tabularnewline
47 & 0.019247 & 0.1633 & 0.435364 \tabularnewline
48 & -0.036884 & -0.313 & 0.377603 \tabularnewline
49 & 0.040634 & 0.3448 & 0.365628 \tabularnewline
50 & -0.034162 & -0.2899 & 0.386374 \tabularnewline
51 & -0.007604 & -0.0645 & 0.474366 \tabularnewline
52 & 0.061643 & 0.5231 & 0.301269 \tabularnewline
53 & -0.037378 & -0.3172 & 0.376018 \tabularnewline
54 & 0.086645 & 0.7352 & 0.232301 \tabularnewline
55 & -0.063373 & -0.5377 & 0.296208 \tabularnewline
56 & -0.124008 & -1.0522 & 0.148103 \tabularnewline
57 & 0.025065 & 0.2127 & 0.416087 \tabularnewline
58 & 0.038497 & 0.3267 & 0.372436 \tabularnewline
59 & -0.107513 & -0.9123 & 0.182334 \tabularnewline
60 & -0.039704 & -0.3369 & 0.368587 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28990&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]-0.499449[/C][C]-4.238[/C][C]3.3e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.309988[/C][C]-2.6303[/C][C]0.005213[/C][/ROW]
[ROW][C]3[/C][C]-0.196624[/C][C]-1.6684[/C][C]0.049789[/C][/ROW]
[ROW][C]4[/C][C]-0.142601[/C][C]-1.21[/C][C]0.115117[/C][/ROW]
[ROW][C]5[/C][C]-0.113083[/C][C]-0.9595[/C][C]0.170249[/C][/ROW]
[ROW][C]6[/C][C]0.086699[/C][C]0.7357[/C][C]0.232162[/C][/ROW]
[ROW][C]7[/C][C]0.047441[/C][C]0.4026[/C][C]0.344234[/C][/ROW]
[ROW][C]8[/C][C]0.001886[/C][C]0.016[/C][C]0.493637[/C][/ROW]
[ROW][C]9[/C][C]-0.141493[/C][C]-1.2006[/C][C]0.11692[/C][/ROW]
[ROW][C]10[/C][C]-0.02403[/C][C]-0.2039[/C][C]0.419504[/C][/ROW]
[ROW][C]11[/C][C]-0.475134[/C][C]-4.0316[/C][C]6.8e-05[/C][/ROW]
[ROW][C]12[/C][C]0.137487[/C][C]1.1666[/C][C]0.123608[/C][/ROW]
[ROW][C]13[/C][C]-0.039067[/C][C]-0.3315[/C][C]0.370618[/C][/ROW]
[ROW][C]14[/C][C]0.182326[/C][C]1.5471[/C][C]0.063114[/C][/ROW]
[ROW][C]15[/C][C]-0.059881[/C][C]-0.5081[/C][C]0.306465[/C][/ROW]
[ROW][C]16[/C][C]-0.100049[/C][C]-0.8489[/C][C]0.199362[/C][/ROW]
[ROW][C]17[/C][C]-0.038964[/C][C]-0.3306[/C][C]0.370944[/C][/ROW]
[ROW][C]18[/C][C]0.097345[/C][C]0.826[/C][C]0.205767[/C][/ROW]
[ROW][C]19[/C][C]-0.045837[/C][C]-0.3889[/C][C]0.349233[/C][/ROW]
[ROW][C]20[/C][C]0.006058[/C][C]0.0514[/C][C]0.479574[/C][/ROW]
[ROW][C]21[/C][C]0.02909[/C][C]0.2468[/C][C]0.402868[/C][/ROW]
[ROW][C]22[/C][C]-0.082906[/C][C]-0.7035[/C][C]0.242012[/C][/ROW]
[ROW][C]23[/C][C]-0.022236[/C][C]-0.1887[/C][C]0.425438[/C][/ROW]
[ROW][C]24[/C][C]-0.027311[/C][C]-0.2317[/C][C]0.408698[/C][/ROW]
[ROW][C]25[/C][C]0.121959[/C][C]1.0349[/C][C]0.152099[/C][/ROW]
[ROW][C]26[/C][C]0.007483[/C][C]0.0635[/C][C]0.474775[/C][/ROW]
[ROW][C]27[/C][C]0.051408[/C][C]0.4362[/C][C]0.331995[/C][/ROW]
[ROW][C]28[/C][C]0.037501[/C][C]0.3182[/C][C]0.375624[/C][/ROW]
[ROW][C]29[/C][C]0.023707[/C][C]0.2012[/C][C]0.420569[/C][/ROW]
[ROW][C]30[/C][C]-0.108901[/C][C]-0.9241[/C][C]0.179272[/C][/ROW]
[ROW][C]31[/C][C]-0.043889[/C][C]-0.3724[/C][C]0.35534[/C][/ROW]
[ROW][C]32[/C][C]0.004637[/C][C]0.0394[/C][C]0.48436[/C][/ROW]
[ROW][C]33[/C][C]-0.113098[/C][C]-0.9597[/C][C]0.170217[/C][/ROW]
[ROW][C]34[/C][C]0.025584[/C][C]0.2171[/C][C]0.414378[/C][/ROW]
[ROW][C]35[/C][C]-0.205134[/C][C]-1.7406[/C][C]0.043011[/C][/ROW]
[ROW][C]36[/C][C]0.037206[/C][C]0.3157[/C][C]0.376569[/C][/ROW]
[ROW][C]37[/C][C]0.048844[/C][C]0.4145[/C][C]0.339886[/C][/ROW]
[ROW][C]38[/C][C]-0.073904[/C][C]-0.6271[/C][C]0.266289[/C][/ROW]
[ROW][C]39[/C][C]0.006937[/C][C]0.0589[/C][C]0.476612[/C][/ROW]
[ROW][C]40[/C][C]-0.047707[/C][C]-0.4048[/C][C]0.343409[/C][/ROW]
[ROW][C]41[/C][C]0.114444[/C][C]0.9711[/C][C]0.167377[/C][/ROW]
[ROW][C]42[/C][C]-0.121165[/C][C]-1.0281[/C][C]0.153668[/C][/ROW]
[ROW][C]43[/C][C]0.035612[/C][C]0.3022[/C][C]0.381694[/C][/ROW]
[ROW][C]44[/C][C]-0.064429[/C][C]-0.5467[/C][C]0.293139[/C][/ROW]
[ROW][C]45[/C][C]-0.052041[/C][C]-0.4416[/C][C]0.330057[/C][/ROW]
[ROW][C]46[/C][C]-0.051128[/C][C]-0.4338[/C][C]0.332853[/C][/ROW]
[ROW][C]47[/C][C]0.019247[/C][C]0.1633[/C][C]0.435364[/C][/ROW]
[ROW][C]48[/C][C]-0.036884[/C][C]-0.313[/C][C]0.377603[/C][/ROW]
[ROW][C]49[/C][C]0.040634[/C][C]0.3448[/C][C]0.365628[/C][/ROW]
[ROW][C]50[/C][C]-0.034162[/C][C]-0.2899[/C][C]0.386374[/C][/ROW]
[ROW][C]51[/C][C]-0.007604[/C][C]-0.0645[/C][C]0.474366[/C][/ROW]
[ROW][C]52[/C][C]0.061643[/C][C]0.5231[/C][C]0.301269[/C][/ROW]
[ROW][C]53[/C][C]-0.037378[/C][C]-0.3172[/C][C]0.376018[/C][/ROW]
[ROW][C]54[/C][C]0.086645[/C][C]0.7352[/C][C]0.232301[/C][/ROW]
[ROW][C]55[/C][C]-0.063373[/C][C]-0.5377[/C][C]0.296208[/C][/ROW]
[ROW][C]56[/C][C]-0.124008[/C][C]-1.0522[/C][C]0.148103[/C][/ROW]
[ROW][C]57[/C][C]0.025065[/C][C]0.2127[/C][C]0.416087[/C][/ROW]
[ROW][C]58[/C][C]0.038497[/C][C]0.3267[/C][C]0.372436[/C][/ROW]
[ROW][C]59[/C][C]-0.107513[/C][C]-0.9123[/C][C]0.182334[/C][/ROW]
[ROW][C]60[/C][C]-0.039704[/C][C]-0.3369[/C][C]0.368587[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28990&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28990&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
1-0.499449-4.2383.3e-05
2-0.309988-2.63030.005213
3-0.196624-1.66840.049789
4-0.142601-1.210.115117
5-0.113083-0.95950.170249
60.0866990.73570.232162
70.0474410.40260.344234
80.0018860.0160.493637
9-0.141493-1.20060.11692
10-0.02403-0.20390.419504
11-0.475134-4.03166.8e-05
120.1374871.16660.123608
13-0.039067-0.33150.370618
140.1823261.54710.063114
15-0.059881-0.50810.306465
16-0.100049-0.84890.199362
17-0.038964-0.33060.370944
180.0973450.8260.205767
19-0.045837-0.38890.349233
200.0060580.05140.479574
210.029090.24680.402868
22-0.082906-0.70350.242012
23-0.022236-0.18870.425438
24-0.027311-0.23170.408698
250.1219591.03490.152099
260.0074830.06350.474775
270.0514080.43620.331995
280.0375010.31820.375624
290.0237070.20120.420569
30-0.108901-0.92410.179272
31-0.043889-0.37240.35534
320.0046370.03940.48436
33-0.113098-0.95970.170217
340.0255840.21710.414378
35-0.205134-1.74060.043011
360.0372060.31570.376569
370.0488440.41450.339886
38-0.073904-0.62710.266289
390.0069370.05890.476612
40-0.047707-0.40480.343409
410.1144440.97110.167377
42-0.121165-1.02810.153668
430.0356120.30220.381694
44-0.064429-0.54670.293139
45-0.052041-0.44160.330057
46-0.051128-0.43380.332853
470.0192470.16330.435364
48-0.036884-0.3130.377603
490.0406340.34480.365628
50-0.034162-0.28990.386374
51-0.007604-0.06450.474366
520.0616430.52310.301269
53-0.037378-0.31720.376018
540.0866450.73520.232301
55-0.063373-0.53770.296208
56-0.124008-1.05220.148103
570.0250650.21270.416087
580.0384970.32670.372436
59-0.107513-0.91230.182334
60-0.039704-0.33690.368587



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')