## Free Statistics

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 computationSun, 22 Nov 2009 13:16:10 +0100
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/Nov/22/t12588922074jq2b4h9tlwaher.htm/, Retrieved Thu, 12 Sep 2024 16:32:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58616, Retrieved Thu, 12 Sep 2024 16:32:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact709
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP         [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-23 15:17:11] [5d885a68c2332cc44f6191ec94766bfa]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-20 07:31:47] [5d885a68c2332cc44f6191ec94766bfa]
-    D          [(Partial) Autocorrelation Function] [Autocorrelatie fu...] [2009-11-23 18:29:14] [d46757a0a8c9b00540ab7e7e0c34bfc4]
-    D            [(Partial) Autocorrelation Function] [ACF met: d=0, D=0...] [2009-12-03 22:50:11] [34d27ebe78dc2d31581e8710befe8733]
-    D              [(Partial) Autocorrelation Function] [ACF met: d=0, D=0...] [2009-12-16 22:39:45] [34d27ebe78dc2d31581e8710befe8733]
-   P                 [(Partial) Autocorrelation Function] [ACF met: d=0, D=0...] [2009-12-19 11:26:01] [34d27ebe78dc2d31581e8710befe8733]
-                 [(Partial) Autocorrelation Function] [] [2009-12-16 14:58:17] [d4e4be187a92369b428eb3a5c1616639]
-   PD            [(Partial) Autocorrelation Function] [Partial autocorre...] [2009-12-20 17:15:06] [73863f7f907331e734eff34b7de6fc83]
-   PD            [(Partial) Autocorrelation Function] [Partial autocorre...] [2009-12-20 17:18:56] [73863f7f907331e734eff34b7de6fc83]
-   PD            [(Partial) Autocorrelation Function] [Partial autocorre...] [2009-12-20 17:36:03] [73863f7f907331e734eff34b7de6fc83]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 09:55:25] [fef2f8976fa1eef1b54e2cee317fe737]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-18 11:14:21] [fef2f8976fa1eef1b54e2cee317fe737]
- R                 [(Partial) Autocorrelation Function] [Paper: ACF] [2010-12-22 20:09:28] [29e492448d11757ae0fad5ef6e7f8e86]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 12:46:43] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 12:49:48] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 12:50:49] [1253bc7c4737195066123d9caa6dfc18]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 12:52:24] [1253bc7c4737195066123d9caa6dfc18]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 12:52:24] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 12:55:17] [1253bc7c4737195066123d9caa6dfc18]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 12:59:14] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 13:00:26] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 13:01:38] [1253bc7c4737195066123d9caa6dfc18]
-    D                [(Partial) Autocorrelation Function] [] [2010-12-29 13:03:13] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 13:04:46] [1253bc7c4737195066123d9caa6dfc18]
-   PD                [(Partial) Autocorrelation Function] [] [2010-12-29 13:06:26] [1253bc7c4737195066123d9caa6dfc18]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-18 11:46:14] [fef2f8976fa1eef1b54e2cee317fe737]
-   PD          [(Partial) Autocorrelation Function] [Workshop 8] [2009-11-24 11:49:44] [214e6e00abbde49700521a7ef1d30da2]
- R  D            [(Partial) Autocorrelation Function] [shw-ws8] [2009-11-27 12:12:22] [2663058f2a5dda519058ac6b2228468f]
-   P               [(Partial) Autocorrelation Function] [ACF_1] [2009-12-29 15:12:43] [2663058f2a5dda519058ac6b2228468f]
- R PD            [(Partial) Autocorrelation Function] [shw-ws8] [2009-11-27 12:17:16] [2663058f2a5dda519058ac6b2228468f]
-   P               [(Partial) Autocorrelation Function] [ACF_2] [2009-12-29 15:23:43] [2663058f2a5dda519058ac6b2228468f]
- R PD            [(Partial) Autocorrelation Function] [shw-ws8] [2009-11-27 12:19:45] [2663058f2a5dda519058ac6b2228468f]
-   P               [(Partial) Autocorrelation Function] [ACF_3] [2009-12-29 15:25:56] [2663058f2a5dda519058ac6b2228468f]
-    D            [(Partial) Autocorrelation Function] [WS 8.2 autocorrel...] [2009-11-27 20:13:42] [d31db4f83c6a129f6d3e47077769e868]
-   P               [(Partial) Autocorrelation Function] [WS 8.3 Autocorrel...] [2009-11-27 20:46:31] [d31db4f83c6a129f6d3e47077769e868]
-   P                 [(Partial) Autocorrelation Function] [cs.shw.ws8.r3.1] [2009-12-04 09:46:03] [74be16979710d4c4e7c6647856088456]
-   P                   [(Partial) Autocorrelation Function] [cs.shw.ws8.r3.2] [2009-12-04 09:49:03] [74be16979710d4c4e7c6647856088456]
-   P               [(Partial) Autocorrelation Function] [WS 8.4 Autocorrel...] [2009-11-27 20:58:47] [d31db4f83c6a129f6d3e47077769e868]
- RM                  [Variance Reduction Matrix] [WS 8.5 Variantie ...] [2009-11-27 21:11:14] [d31db4f83c6a129f6d3e47077769e868]
- RM                    [Spectral Analysis] [WS 8.7 Spectrum a...] [2009-11-27 21:40:54] [d31db4f83c6a129f6d3e47077769e868]
-                         [Spectral Analysis] [WS 8.8 Spectrum a...] [2009-11-27 21:57:05] [d31db4f83c6a129f6d3e47077769e868]
- RM                        [Standard Deviation-Mean Plot] [WS 8.9 Heterosked...] [2009-11-27 22:13:36] [d31db4f83c6a129f6d3e47077769e868]
-   P                 [(Partial) Autocorrelation Function] [SHWWS8review2] [2009-11-29 14:37:49] [a66d3a79ef9e5308cd94a469bc5ca464]
-   PD          [(Partial) Autocorrelation Function] [SHW WS8] [2009-11-24 11:51:23] [253127ae8da904b75450fbd69fe4eb21]
-   P             [(Partial) Autocorrelation Function] [verb WS8] [2009-12-03 17:54:48] [95cead3ebb75668735f848316249436a]
-   P             [(Partial) Autocorrelation Function] [verb WS8] [2009-12-03 18:01:50] [95cead3ebb75668735f848316249436a]
-                 [(Partial) Autocorrelation Function] [cs.shw.ws8.r3.1] [2009-12-04 10:02:10] [74be16979710d4c4e7c6647856088456]
-                 [(Partial) Autocorrelation Function] [cs.shw.ws8.r3.2] [2009-12-04 10:05:10] [74be16979710d4c4e7c6647856088456]

[Truncated]
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Dataseries X:
9700
9081
9084
9743
8587
9731
9563
9998
9437
10038
9918
9252
9737
9035
9133
9487
8700
9627
8947
9283
8829
9947
9628
9318
9605
8640
9214
9567
8547
9185
9470
9123
9278
10170
9434
9655
9429
8739
9552
9687
9019
9672
9206
9069
9788
10312
10105
9863
9656
9295
9946
9701
9049
10190
9706
9765
9893
9994
10433
10073
10112
9266
9820
10097
9115
10411
9678
10408
10153
10368
10581
10597
10680
9738
9556

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58616&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58616&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58616&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.305819 2.6485 0.004926 2 0.399873 3.463 0.000443 3 0.376736 3.2626 0.000832 4 0.122726 1.0628 0.145632 5 0.211704 1.8334 0.035354 6 0.151412 1.3113 0.096884 7 0.13703 1.1867 0.119543 8 0.039429 0.3415 0.366853 9 0.292297 2.5314 0.006728 10 0.162233 1.405 0.082079 11 0.162612 1.4083 0.081593 12 0.578733 5.012 2e-06 13 0.12317 1.0667 0.144768 14 0.273848 2.3716 0.010139 15 0.185348 1.6052 0.05633 16 -0.025095 -0.2173 0.41427 17 0.056483 0.4892 0.313079 18 0.043505 0.3768 0.353705 19 -0.063741 -0.552 0.291291 20 -0.046049 -0.3988 0.345587 21 0.082011 0.7102 0.239881 22 -0.015473 -0.134 0.446881 23 0.066606 0.5768 0.282894 24 0.276687 2.3962 0.00953 25 -0.029152 -0.2525 0.400688 26 0.061438 0.5321 0.298127 27 0.027163 0.2352 0.407333 28 -0.196832 -1.7046 0.046203 29 -0.137983 -1.195 0.117933 30 -0.168347 -1.4579 0.074517 31 -0.227048 -1.9663 0.026483 32 -0.126148 -1.0925 0.139061 33 -0.10766 -0.9324 0.177071 34 -0.144445 -1.2509 0.107424 35 -0.117272 -1.0156 0.156542 36 0.067929 0.5883 0.279056

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.305819 & 2.6485 & 0.004926 \tabularnewline
2 & 0.399873 & 3.463 & 0.000443 \tabularnewline
3 & 0.376736 & 3.2626 & 0.000832 \tabularnewline
4 & 0.122726 & 1.0628 & 0.145632 \tabularnewline
5 & 0.211704 & 1.8334 & 0.035354 \tabularnewline
6 & 0.151412 & 1.3113 & 0.096884 \tabularnewline
7 & 0.13703 & 1.1867 & 0.119543 \tabularnewline
8 & 0.039429 & 0.3415 & 0.366853 \tabularnewline
9 & 0.292297 & 2.5314 & 0.006728 \tabularnewline
10 & 0.162233 & 1.405 & 0.082079 \tabularnewline
11 & 0.162612 & 1.4083 & 0.081593 \tabularnewline
12 & 0.578733 & 5.012 & 2e-06 \tabularnewline
13 & 0.12317 & 1.0667 & 0.144768 \tabularnewline
14 & 0.273848 & 2.3716 & 0.010139 \tabularnewline
15 & 0.185348 & 1.6052 & 0.05633 \tabularnewline
16 & -0.025095 & -0.2173 & 0.41427 \tabularnewline
17 & 0.056483 & 0.4892 & 0.313079 \tabularnewline
18 & 0.043505 & 0.3768 & 0.353705 \tabularnewline
19 & -0.063741 & -0.552 & 0.291291 \tabularnewline
20 & -0.046049 & -0.3988 & 0.345587 \tabularnewline
21 & 0.082011 & 0.7102 & 0.239881 \tabularnewline
22 & -0.015473 & -0.134 & 0.446881 \tabularnewline
23 & 0.066606 & 0.5768 & 0.282894 \tabularnewline
24 & 0.276687 & 2.3962 & 0.00953 \tabularnewline
25 & -0.029152 & -0.2525 & 0.400688 \tabularnewline
26 & 0.061438 & 0.5321 & 0.298127 \tabularnewline
27 & 0.027163 & 0.2352 & 0.407333 \tabularnewline
28 & -0.196832 & -1.7046 & 0.046203 \tabularnewline
29 & -0.137983 & -1.195 & 0.117933 \tabularnewline
30 & -0.168347 & -1.4579 & 0.074517 \tabularnewline
31 & -0.227048 & -1.9663 & 0.026483 \tabularnewline
32 & -0.126148 & -1.0925 & 0.139061 \tabularnewline
33 & -0.10766 & -0.9324 & 0.177071 \tabularnewline
34 & -0.144445 & -1.2509 & 0.107424 \tabularnewline
35 & -0.117272 & -1.0156 & 0.156542 \tabularnewline
36 & 0.067929 & 0.5883 & 0.279056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58616&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]0.305819[/C][C]2.6485[/C][C]0.004926[/C][/ROW]
[ROW][C]2[/C][C]0.399873[/C][C]3.463[/C][C]0.000443[/C][/ROW]
[ROW][C]3[/C][C]0.376736[/C][C]3.2626[/C][C]0.000832[/C][/ROW]
[ROW][C]4[/C][C]0.122726[/C][C]1.0628[/C][C]0.145632[/C][/ROW]
[ROW][C]5[/C][C]0.211704[/C][C]1.8334[/C][C]0.035354[/C][/ROW]
[ROW][C]6[/C][C]0.151412[/C][C]1.3113[/C][C]0.096884[/C][/ROW]
[ROW][C]7[/C][C]0.13703[/C][C]1.1867[/C][C]0.119543[/C][/ROW]
[ROW][C]8[/C][C]0.039429[/C][C]0.3415[/C][C]0.366853[/C][/ROW]
[ROW][C]9[/C][C]0.292297[/C][C]2.5314[/C][C]0.006728[/C][/ROW]
[ROW][C]10[/C][C]0.162233[/C][C]1.405[/C][C]0.082079[/C][/ROW]
[ROW][C]11[/C][C]0.162612[/C][C]1.4083[/C][C]0.081593[/C][/ROW]
[ROW][C]12[/C][C]0.578733[/C][C]5.012[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.12317[/C][C]1.0667[/C][C]0.144768[/C][/ROW]
[ROW][C]14[/C][C]0.273848[/C][C]2.3716[/C][C]0.010139[/C][/ROW]
[ROW][C]15[/C][C]0.185348[/C][C]1.6052[/C][C]0.05633[/C][/ROW]
[ROW][C]16[/C][C]-0.025095[/C][C]-0.2173[/C][C]0.41427[/C][/ROW]
[ROW][C]17[/C][C]0.056483[/C][C]0.4892[/C][C]0.313079[/C][/ROW]
[ROW][C]18[/C][C]0.043505[/C][C]0.3768[/C][C]0.353705[/C][/ROW]
[ROW][C]19[/C][C]-0.063741[/C][C]-0.552[/C][C]0.291291[/C][/ROW]
[ROW][C]20[/C][C]-0.046049[/C][C]-0.3988[/C][C]0.345587[/C][/ROW]
[ROW][C]21[/C][C]0.082011[/C][C]0.7102[/C][C]0.239881[/C][/ROW]
[ROW][C]22[/C][C]-0.015473[/C][C]-0.134[/C][C]0.446881[/C][/ROW]
[ROW][C]23[/C][C]0.066606[/C][C]0.5768[/C][C]0.282894[/C][/ROW]
[ROW][C]24[/C][C]0.276687[/C][C]2.3962[/C][C]0.00953[/C][/ROW]
[ROW][C]25[/C][C]-0.029152[/C][C]-0.2525[/C][C]0.400688[/C][/ROW]
[ROW][C]26[/C][C]0.061438[/C][C]0.5321[/C][C]0.298127[/C][/ROW]
[ROW][C]27[/C][C]0.027163[/C][C]0.2352[/C][C]0.407333[/C][/ROW]
[ROW][C]28[/C][C]-0.196832[/C][C]-1.7046[/C][C]0.046203[/C][/ROW]
[ROW][C]29[/C][C]-0.137983[/C][C]-1.195[/C][C]0.117933[/C][/ROW]
[ROW][C]30[/C][C]-0.168347[/C][C]-1.4579[/C][C]0.074517[/C][/ROW]
[ROW][C]31[/C][C]-0.227048[/C][C]-1.9663[/C][C]0.026483[/C][/ROW]
[ROW][C]32[/C][C]-0.126148[/C][C]-1.0925[/C][C]0.139061[/C][/ROW]
[ROW][C]33[/C][C]-0.10766[/C][C]-0.9324[/C][C]0.177071[/C][/ROW]
[ROW][C]34[/C][C]-0.144445[/C][C]-1.2509[/C][C]0.107424[/C][/ROW]
[ROW][C]35[/C][C]-0.117272[/C][C]-1.0156[/C][C]0.156542[/C][/ROW]
[ROW][C]36[/C][C]0.067929[/C][C]0.5883[/C][C]0.279056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58616&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58616&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 k ACF(k) T-STAT P-value 1 0.305819 2.6485 0.004926 2 0.399873 3.463 0.000443 3 0.376736 3.2626 0.000832 4 0.122726 1.0628 0.145632 5 0.211704 1.8334 0.035354 6 0.151412 1.3113 0.096884 7 0.13703 1.1867 0.119543 8 0.039429 0.3415 0.366853 9 0.292297 2.5314 0.006728 10 0.162233 1.405 0.082079 11 0.162612 1.4083 0.081593 12 0.578733 5.012 2e-06 13 0.12317 1.0667 0.144768 14 0.273848 2.3716 0.010139 15 0.185348 1.6052 0.05633 16 -0.025095 -0.2173 0.41427 17 0.056483 0.4892 0.313079 18 0.043505 0.3768 0.353705 19 -0.063741 -0.552 0.291291 20 -0.046049 -0.3988 0.345587 21 0.082011 0.7102 0.239881 22 -0.015473 -0.134 0.446881 23 0.066606 0.5768 0.282894 24 0.276687 2.3962 0.00953 25 -0.029152 -0.2525 0.400688 26 0.061438 0.5321 0.298127 27 0.027163 0.2352 0.407333 28 -0.196832 -1.7046 0.046203 29 -0.137983 -1.195 0.117933 30 -0.168347 -1.4579 0.074517 31 -0.227048 -1.9663 0.026483 32 -0.126148 -1.0925 0.139061 33 -0.10766 -0.9324 0.177071 34 -0.144445 -1.2509 0.107424 35 -0.117272 -1.0156 0.156542 36 0.067929 0.5883 0.279056

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.305819 2.6485 0.004926 2 0.337955 2.9268 0.002265 3 0.239646 2.0754 0.020689 4 -0.14807 -1.2823 0.10184 5 0.012857 0.1113 0.45582 6 0.051396 0.4451 0.328763 7 0.078059 0.676 0.250558 8 -0.12924 -1.1193 0.133301 9 0.295804 2.5617 0.006211 10 0.086951 0.753 0.226898 11 -0.023225 -0.2011 0.420569 12 0.488393 4.2296 3.3e-05 13 -0.178637 -1.547 0.063031 14 -0.147488 -1.2773 0.102721 15 -0.127635 -1.1054 0.13627 16 -0.121525 -1.0524 0.14799 17 -0.05138 -0.445 0.328814 18 0.075129 0.6506 0.258634 19 -0.109425 -0.9476 0.173177 20 0.07998 0.6926 0.245335 21 -0.090367 -0.7826 0.218162 22 0.055202 0.4781 0.316997 23 0.044059 0.3816 0.351933 24 -0.013866 -0.1201 0.452369 25 -0.092922 -0.8047 0.211759 26 -0.170586 -1.4773 0.071888 27 -0.005909 -0.0512 0.47966 28 -0.046714 -0.4046 0.343479 29 -0.145898 -1.2635 0.105159 30 -0.081434 -0.7052 0.241423 31 0.124141 1.0751 0.142889 32 0.075988 0.6581 0.256253 33 -0.035834 -0.3103 0.378585 34 -0.038361 -0.3322 0.370327 35 -0.146895 -1.2722 0.103625 36 6e-04 0.0052 0.497934

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.305819 & 2.6485 & 0.004926 \tabularnewline
2 & 0.337955 & 2.9268 & 0.002265 \tabularnewline
3 & 0.239646 & 2.0754 & 0.020689 \tabularnewline
4 & -0.14807 & -1.2823 & 0.10184 \tabularnewline
5 & 0.012857 & 0.1113 & 0.45582 \tabularnewline
6 & 0.051396 & 0.4451 & 0.328763 \tabularnewline
7 & 0.078059 & 0.676 & 0.250558 \tabularnewline
8 & -0.12924 & -1.1193 & 0.133301 \tabularnewline
9 & 0.295804 & 2.5617 & 0.006211 \tabularnewline
10 & 0.086951 & 0.753 & 0.226898 \tabularnewline
11 & -0.023225 & -0.2011 & 0.420569 \tabularnewline
12 & 0.488393 & 4.2296 & 3.3e-05 \tabularnewline
13 & -0.178637 & -1.547 & 0.063031 \tabularnewline
14 & -0.147488 & -1.2773 & 0.102721 \tabularnewline
15 & -0.127635 & -1.1054 & 0.13627 \tabularnewline
16 & -0.121525 & -1.0524 & 0.14799 \tabularnewline
17 & -0.05138 & -0.445 & 0.328814 \tabularnewline
18 & 0.075129 & 0.6506 & 0.258634 \tabularnewline
19 & -0.109425 & -0.9476 & 0.173177 \tabularnewline
20 & 0.07998 & 0.6926 & 0.245335 \tabularnewline
21 & -0.090367 & -0.7826 & 0.218162 \tabularnewline
22 & 0.055202 & 0.4781 & 0.316997 \tabularnewline
23 & 0.044059 & 0.3816 & 0.351933 \tabularnewline
24 & -0.013866 & -0.1201 & 0.452369 \tabularnewline
25 & -0.092922 & -0.8047 & 0.211759 \tabularnewline
26 & -0.170586 & -1.4773 & 0.071888 \tabularnewline
27 & -0.005909 & -0.0512 & 0.47966 \tabularnewline
28 & -0.046714 & -0.4046 & 0.343479 \tabularnewline
29 & -0.145898 & -1.2635 & 0.105159 \tabularnewline
30 & -0.081434 & -0.7052 & 0.241423 \tabularnewline
31 & 0.124141 & 1.0751 & 0.142889 \tabularnewline
32 & 0.075988 & 0.6581 & 0.256253 \tabularnewline
33 & -0.035834 & -0.3103 & 0.378585 \tabularnewline
34 & -0.038361 & -0.3322 & 0.370327 \tabularnewline
35 & -0.146895 & -1.2722 & 0.103625 \tabularnewline
36 & 6e-04 & 0.0052 & 0.497934 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58616&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]0.305819[/C][C]2.6485[/C][C]0.004926[/C][/ROW]
[ROW][C]2[/C][C]0.337955[/C][C]2.9268[/C][C]0.002265[/C][/ROW]
[ROW][C]3[/C][C]0.239646[/C][C]2.0754[/C][C]0.020689[/C][/ROW]
[ROW][C]4[/C][C]-0.14807[/C][C]-1.2823[/C][C]0.10184[/C][/ROW]
[ROW][C]5[/C][C]0.012857[/C][C]0.1113[/C][C]0.45582[/C][/ROW]
[ROW][C]6[/C][C]0.051396[/C][C]0.4451[/C][C]0.328763[/C][/ROW]
[ROW][C]7[/C][C]0.078059[/C][C]0.676[/C][C]0.250558[/C][/ROW]
[ROW][C]8[/C][C]-0.12924[/C][C]-1.1193[/C][C]0.133301[/C][/ROW]
[ROW][C]9[/C][C]0.295804[/C][C]2.5617[/C][C]0.006211[/C][/ROW]
[ROW][C]10[/C][C]0.086951[/C][C]0.753[/C][C]0.226898[/C][/ROW]
[ROW][C]11[/C][C]-0.023225[/C][C]-0.2011[/C][C]0.420569[/C][/ROW]
[ROW][C]12[/C][C]0.488393[/C][C]4.2296[/C][C]3.3e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.178637[/C][C]-1.547[/C][C]0.063031[/C][/ROW]
[ROW][C]14[/C][C]-0.147488[/C][C]-1.2773[/C][C]0.102721[/C][/ROW]
[ROW][C]15[/C][C]-0.127635[/C][C]-1.1054[/C][C]0.13627[/C][/ROW]
[ROW][C]16[/C][C]-0.121525[/C][C]-1.0524[/C][C]0.14799[/C][/ROW]
[ROW][C]17[/C][C]-0.05138[/C][C]-0.445[/C][C]0.328814[/C][/ROW]
[ROW][C]18[/C][C]0.075129[/C][C]0.6506[/C][C]0.258634[/C][/ROW]
[ROW][C]19[/C][C]-0.109425[/C][C]-0.9476[/C][C]0.173177[/C][/ROW]
[ROW][C]20[/C][C]0.07998[/C][C]0.6926[/C][C]0.245335[/C][/ROW]
[ROW][C]21[/C][C]-0.090367[/C][C]-0.7826[/C][C]0.218162[/C][/ROW]
[ROW][C]22[/C][C]0.055202[/C][C]0.4781[/C][C]0.316997[/C][/ROW]
[ROW][C]23[/C][C]0.044059[/C][C]0.3816[/C][C]0.351933[/C][/ROW]
[ROW][C]24[/C][C]-0.013866[/C][C]-0.1201[/C][C]0.452369[/C][/ROW]
[ROW][C]25[/C][C]-0.092922[/C][C]-0.8047[/C][C]0.211759[/C][/ROW]
[ROW][C]26[/C][C]-0.170586[/C][C]-1.4773[/C][C]0.071888[/C][/ROW]
[ROW][C]27[/C][C]-0.005909[/C][C]-0.0512[/C][C]0.47966[/C][/ROW]
[ROW][C]28[/C][C]-0.046714[/C][C]-0.4046[/C][C]0.343479[/C][/ROW]
[ROW][C]29[/C][C]-0.145898[/C][C]-1.2635[/C][C]0.105159[/C][/ROW]
[ROW][C]30[/C][C]-0.081434[/C][C]-0.7052[/C][C]0.241423[/C][/ROW]
[ROW][C]31[/C][C]0.124141[/C][C]1.0751[/C][C]0.142889[/C][/ROW]
[ROW][C]32[/C][C]0.075988[/C][C]0.6581[/C][C]0.256253[/C][/ROW]
[ROW][C]33[/C][C]-0.035834[/C][C]-0.3103[/C][C]0.378585[/C][/ROW]
[ROW][C]34[/C][C]-0.038361[/C][C]-0.3322[/C][C]0.370327[/C][/ROW]
[ROW][C]35[/C][C]-0.146895[/C][C]-1.2722[/C][C]0.103625[/C][/ROW]
[ROW][C]36[/C][C]6e-04[/C][C]0.0052[/C][C]0.497934[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58616&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58616&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 k PACF(k) T-STAT P-value 1 0.305819 2.6485 0.004926 2 0.337955 2.9268 0.002265 3 0.239646 2.0754 0.020689 4 -0.14807 -1.2823 0.10184 5 0.012857 0.1113 0.45582 6 0.051396 0.4451 0.328763 7 0.078059 0.676 0.250558 8 -0.12924 -1.1193 0.133301 9 0.295804 2.5617 0.006211 10 0.086951 0.753 0.226898 11 -0.023225 -0.2011 0.420569 12 0.488393 4.2296 3.3e-05 13 -0.178637 -1.547 0.063031 14 -0.147488 -1.2773 0.102721 15 -0.127635 -1.1054 0.13627 16 -0.121525 -1.0524 0.14799 17 -0.05138 -0.445 0.328814 18 0.075129 0.6506 0.258634 19 -0.109425 -0.9476 0.173177 20 0.07998 0.6926 0.245335 21 -0.090367 -0.7826 0.218162 22 0.055202 0.4781 0.316997 23 0.044059 0.3816 0.351933 24 -0.013866 -0.1201 0.452369 25 -0.092922 -0.8047 0.211759 26 -0.170586 -1.4773 0.071888 27 -0.005909 -0.0512 0.47966 28 -0.046714 -0.4046 0.343479 29 -0.145898 -1.2635 0.105159 30 -0.081434 -0.7052 0.241423 31 0.124141 1.0751 0.142889 32 0.075988 0.6581 0.256253 33 -0.035834 -0.3103 0.378585 34 -0.038361 -0.3322 0.370327 35 -0.146895 -1.2722 0.103625 36 6e-04 0.0052 0.497934

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'par7 <- as.numeric(par7)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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))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]*sqrtna<-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]*sqrtna<-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')