## 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 13:26:39 +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/t1258892837i1mryevjtdis157.htm/, Retrieved Mon, 26 Feb 2024 04:04:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58618, Retrieved Mon, 26 Feb 2024 04:04:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact434
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 12:26:39] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-23 15:32:19] [5d885a68c2332cc44f6191ec94766bfa]
-    D            [(Partial) Autocorrelation Function] [AC d=1 D=1] [2009-12-04 12:17:39] [74be16979710d4c4e7c6647856088456]
- R PD            [(Partial) Autocorrelation Function] [AutoCF d=1,D=1] [2009-12-04 15:19:19] [fa71ec4c741ffec745cb91dcbd756720]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-20 08:24:43] [5d885a68c2332cc44f6191ec94766bfa]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 10:04:18] [fef2f8976fa1eef1b54e2cee317fe737]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-18 11:21:56] [fef2f8976fa1eef1b54e2cee317fe737]
-   PD          [(Partial) Autocorrelation Function] [SHW WS8] [2009-11-24 11:57:54] [253127ae8da904b75450fbd69fe4eb21]
- R  D          [(Partial) Autocorrelation Function] [] [2009-11-24 12:59:30] [3445d50c581a74ea3ff7b84cc82fcfeb]
- R  D          [(Partial) Autocorrelation Function] [] [2009-11-24 13:48:32] [e2ae2d788de9b949efa455f763351347]
- R  D          [(Partial) Autocorrelation Function] [Bestedingen consu...] [2009-11-24 15:39:07] [54d83950395cfb8ca1091bdb7440f70a]
-    D          [(Partial) Autocorrelation Function] [SHWWS8methode1c] [2009-11-24 17:01:22] [a66d3a79ef9e5308cd94a469bc5ca464]
-   PD          [(Partial) Autocorrelation Function] [Model 1 (d = 1, D...] [2009-11-24 17:46:32] [ee7c2e7343f5b1451e62c5c16ec521f1]
-   P             [(Partial) Autocorrelation Function] [Model 1 (d = 1, D...] [2009-12-10 17:28:06] [ee7c2e7343f5b1451e62c5c16ec521f1]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-24 17:53:19] [7369a9baefff1ba9d2171738b4c9faa6]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 18:00:15] [74be16979710d4c4e7c6647856088456]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 18:00:15] [7369a9baefff1ba9d2171738b4c9faa6]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 18:11:26] [96d96f181930b548ce74f8c3116c4873]
-    D          [(Partial) Autocorrelation Function] [Workshop 8] [2009-11-24 18:40:40] [3e19a07d230ba260a720e0e03e0f40f2]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 19:43:08] [1c9e2d56abd8ff474f03ef7df8c5b4d9]
-    D          [(Partial) Autocorrelation Function] [ws 8] [2009-11-24 20:35:53] [b5908418e3090fddbd22f5f0f774653d]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-25 08:18:15] [325e037ef8beb77178124dff9c2e015a]
-    D          [(Partial) Autocorrelation Function] [workshop 8] [2009-11-25 11:50:24] [309ee52d0058ff0a6f7eec15e07b2d9f]
-   P             [(Partial) Autocorrelation Function] [workshop 8] [2009-11-29 15:16:37] [309ee52d0058ff0a6f7eec15e07b2d9f]
-    D          [(Partial) Autocorrelation Function] [Ws8 method 1 link 3] [2009-11-25 11:51:12] [616e2df490b611f6cb7080068870ecbd]
-   P             [(Partial) Autocorrelation Function] [Ws8 method 1 3de ...] [2009-11-25 11:56:04] [616e2df490b611f6cb7080068870ecbd]
-   P               [(Partial) Autocorrelation Function] [ws 8 d=1 en D=1] [2009-12-17 15:59:07] [616e2df490b611f6cb7080068870ecbd]
-   P                 [(Partial) Autocorrelation Function] [ws 8 d=1 en D=0] [2009-12-17 18:57:18] [616e2df490b611f6cb7080068870ecbd]
-    D          [(Partial) Autocorrelation Function] [WS 8 Methode 1: A...] [2009-11-25 13:07:25] [b103a1dc147def8132c7f643ad8c8f84]
-                 [(Partial) Autocorrelation Function] [WS 8 review] [2009-12-04 09:36:56] [830e13ac5e5ac1e5b21c6af0c149b21d]
-    D            [(Partial) Autocorrelation Function] [Paper: (Partial) ...] [2009-12-17 12:59:08] [b103a1dc147def8132c7f643ad8c8f84]
F    D          [(Partial) Autocorrelation Function] [Partial Correlati...] [2009-11-25 13:47:43] [4395c69e961f9a13a0559fd2f0a72538]
-                 [(Partial) Autocorrelation Function] [link3] [2009-12-01 20:38:29] [b5ba85a7ae9f50cb97d92cbc56161b32]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-25 15:17:24] [74be16979710d4c4e7c6647856088456]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-25 15:48:38] [7e8bf94ac9834384fa22d029eca19fa6]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-25 15:51:33] [7e8bf94ac9834384fa22d029eca19fa6]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-25 15:56:51] [7e8bf94ac9834384fa22d029eca19fa6]
-   PD          [(Partial) Autocorrelation Function] [ACF(3)] [2009-11-25 16:01:40] [d2bea3ec23e91643318a5bccf3e3b9df]
-    D          [(Partial) Autocorrelation Function] [WS8] [2009-11-25 16:16:29] [90e6802d28d0afa9b030a19cd25ed2b0]
-   PD          [(Partial) Autocorrelation Function] [ACF2] [2009-11-25 16:43:12] [3b0db66ac8145b1be856a517e2900332]
-   P             [(Partial) Autocorrelation Function] [ACF (2)] [2009-12-17 14:49:32] [3b0db66ac8145b1be856a517e2900332]
-   P             [(Partial) Autocorrelation Function] [ACF (3)] [2009-12-17 14:53:39] [3b0db66ac8145b1be856a517e2900332]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-25 16:55:31] [cf890101a20378422561610e0d41fd9c]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-25 17:26:54] [80b559301b076f6db87527dfd2199d75]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-25 17:53:25] [80b559301b076f6db87527dfd2199d75]
-    D          [(Partial) Autocorrelation Function] [WS 8.3] [2009-11-25 18:41:38] [74be16979710d4c4e7c6647856088456]
-    D          [(Partial) Autocorrelation Function] [WS8-ACF3] [2009-11-25 18:58:26] [a94022e7c2399c0f4d62eea578db3411]
-    D            [(Partial) Autocorrelation Function] [WS8] [2009-11-27 19:26:38] [9f35ad889e41dd0c9322ca60d75b9f47]

[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=58618&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=58618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58618&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 -0.439783 -3.4629 0.000487 2 -0.025308 -0.1993 0.42135 3 -0.006337 -0.0499 0.480181 4 -0.131059 -1.032 0.15305 5 0.216609 1.7056 0.046546 6 -0.001855 -0.0146 0.494196 7 -0.125075 -0.9848 0.164265 8 -0.089179 -0.7022 0.242593 9 0.29259 2.3039 0.012298 10 -0.175512 -1.382 0.085968 11 0.038871 0.3061 0.380287 12 -0.064769 -0.51 0.305933 13 -0.159611 -1.2568 0.106775 14 0.392086 3.0873 0.00151 15 -0.229945 -1.8106 0.037525 16 -0.024 -0.189 0.425365 17 0.029401 0.2315 0.408842 18 0.072629 0.5719 0.284736 19 0.006309 0.0497 0.480271 20 -0.018563 -0.1462 0.442133 21 -0.080554 -0.6343 0.264114 22 -0.111977 -0.8817 0.19067 23 0.326237 2.5688 0.006313 24 -0.162349 -1.2783 0.102947 25 0.022714 0.1788 0.42932 26 -0.066244 -0.5216 0.301903 27 0.005009 0.0394 0.484334 28 0.124848 0.9831 0.164701 29 -0.108467 -0.8541 0.198178 30 0.019053 0.15 0.440618 31 -0.143309 -1.1284 0.131746 32 0.173517 1.3663 0.088394 33 0.037819 0.2978 0.383432 34 -0.068515 -0.5395 0.295742 35 0.002237 0.0176 0.493001 36 -0.137991 -1.0865 0.140723

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.439783 & -3.4629 & 0.000487 \tabularnewline
2 & -0.025308 & -0.1993 & 0.42135 \tabularnewline
3 & -0.006337 & -0.0499 & 0.480181 \tabularnewline
4 & -0.131059 & -1.032 & 0.15305 \tabularnewline
5 & 0.216609 & 1.7056 & 0.046546 \tabularnewline
6 & -0.001855 & -0.0146 & 0.494196 \tabularnewline
7 & -0.125075 & -0.9848 & 0.164265 \tabularnewline
8 & -0.089179 & -0.7022 & 0.242593 \tabularnewline
9 & 0.29259 & 2.3039 & 0.012298 \tabularnewline
10 & -0.175512 & -1.382 & 0.085968 \tabularnewline
11 & 0.038871 & 0.3061 & 0.380287 \tabularnewline
12 & -0.064769 & -0.51 & 0.305933 \tabularnewline
13 & -0.159611 & -1.2568 & 0.106775 \tabularnewline
14 & 0.392086 & 3.0873 & 0.00151 \tabularnewline
15 & -0.229945 & -1.8106 & 0.037525 \tabularnewline
16 & -0.024 & -0.189 & 0.425365 \tabularnewline
17 & 0.029401 & 0.2315 & 0.408842 \tabularnewline
18 & 0.072629 & 0.5719 & 0.284736 \tabularnewline
19 & 0.006309 & 0.0497 & 0.480271 \tabularnewline
20 & -0.018563 & -0.1462 & 0.442133 \tabularnewline
21 & -0.080554 & -0.6343 & 0.264114 \tabularnewline
22 & -0.111977 & -0.8817 & 0.19067 \tabularnewline
23 & 0.326237 & 2.5688 & 0.006313 \tabularnewline
24 & -0.162349 & -1.2783 & 0.102947 \tabularnewline
25 & 0.022714 & 0.1788 & 0.42932 \tabularnewline
26 & -0.066244 & -0.5216 & 0.301903 \tabularnewline
27 & 0.005009 & 0.0394 & 0.484334 \tabularnewline
28 & 0.124848 & 0.9831 & 0.164701 \tabularnewline
29 & -0.108467 & -0.8541 & 0.198178 \tabularnewline
30 & 0.019053 & 0.15 & 0.440618 \tabularnewline
31 & -0.143309 & -1.1284 & 0.131746 \tabularnewline
32 & 0.173517 & 1.3663 & 0.088394 \tabularnewline
33 & 0.037819 & 0.2978 & 0.383432 \tabularnewline
34 & -0.068515 & -0.5395 & 0.295742 \tabularnewline
35 & 0.002237 & 0.0176 & 0.493001 \tabularnewline
36 & -0.137991 & -1.0865 & 0.140723 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58618&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]-0.439783[/C][C]-3.4629[/C][C]0.000487[/C][/ROW]
[ROW][C]2[/C][C]-0.025308[/C][C]-0.1993[/C][C]0.42135[/C][/ROW]
[ROW][C]3[/C][C]-0.006337[/C][C]-0.0499[/C][C]0.480181[/C][/ROW]
[ROW][C]4[/C][C]-0.131059[/C][C]-1.032[/C][C]0.15305[/C][/ROW]
[ROW][C]5[/C][C]0.216609[/C][C]1.7056[/C][C]0.046546[/C][/ROW]
[ROW][C]6[/C][C]-0.001855[/C][C]-0.0146[/C][C]0.494196[/C][/ROW]
[ROW][C]7[/C][C]-0.125075[/C][C]-0.9848[/C][C]0.164265[/C][/ROW]
[ROW][C]8[/C][C]-0.089179[/C][C]-0.7022[/C][C]0.242593[/C][/ROW]
[ROW][C]9[/C][C]0.29259[/C][C]2.3039[/C][C]0.012298[/C][/ROW]
[ROW][C]10[/C][C]-0.175512[/C][C]-1.382[/C][C]0.085968[/C][/ROW]
[ROW][C]11[/C][C]0.038871[/C][C]0.3061[/C][C]0.380287[/C][/ROW]
[ROW][C]12[/C][C]-0.064769[/C][C]-0.51[/C][C]0.305933[/C][/ROW]
[ROW][C]13[/C][C]-0.159611[/C][C]-1.2568[/C][C]0.106775[/C][/ROW]
[ROW][C]14[/C][C]0.392086[/C][C]3.0873[/C][C]0.00151[/C][/ROW]
[ROW][C]15[/C][C]-0.229945[/C][C]-1.8106[/C][C]0.037525[/C][/ROW]
[ROW][C]16[/C][C]-0.024[/C][C]-0.189[/C][C]0.425365[/C][/ROW]
[ROW][C]17[/C][C]0.029401[/C][C]0.2315[/C][C]0.408842[/C][/ROW]
[ROW][C]18[/C][C]0.072629[/C][C]0.5719[/C][C]0.284736[/C][/ROW]
[ROW][C]19[/C][C]0.006309[/C][C]0.0497[/C][C]0.480271[/C][/ROW]
[ROW][C]20[/C][C]-0.018563[/C][C]-0.1462[/C][C]0.442133[/C][/ROW]
[ROW][C]21[/C][C]-0.080554[/C][C]-0.6343[/C][C]0.264114[/C][/ROW]
[ROW][C]22[/C][C]-0.111977[/C][C]-0.8817[/C][C]0.19067[/C][/ROW]
[ROW][C]23[/C][C]0.326237[/C][C]2.5688[/C][C]0.006313[/C][/ROW]
[ROW][C]24[/C][C]-0.162349[/C][C]-1.2783[/C][C]0.102947[/C][/ROW]
[ROW][C]25[/C][C]0.022714[/C][C]0.1788[/C][C]0.42932[/C][/ROW]
[ROW][C]26[/C][C]-0.066244[/C][C]-0.5216[/C][C]0.301903[/C][/ROW]
[ROW][C]27[/C][C]0.005009[/C][C]0.0394[/C][C]0.484334[/C][/ROW]
[ROW][C]28[/C][C]0.124848[/C][C]0.9831[/C][C]0.164701[/C][/ROW]
[ROW][C]29[/C][C]-0.108467[/C][C]-0.8541[/C][C]0.198178[/C][/ROW]
[ROW][C]30[/C][C]0.019053[/C][C]0.15[/C][C]0.440618[/C][/ROW]
[ROW][C]31[/C][C]-0.143309[/C][C]-1.1284[/C][C]0.131746[/C][/ROW]
[ROW][C]32[/C][C]0.173517[/C][C]1.3663[/C][C]0.088394[/C][/ROW]
[ROW][C]33[/C][C]0.037819[/C][C]0.2978[/C][C]0.383432[/C][/ROW]
[ROW][C]34[/C][C]-0.068515[/C][C]-0.5395[/C][C]0.295742[/C][/ROW]
[ROW][C]35[/C][C]0.002237[/C][C]0.0176[/C][C]0.493001[/C][/ROW]
[ROW][C]36[/C][C]-0.137991[/C][C]-1.0865[/C][C]0.140723[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58618&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 -0.439783 -3.4629 0.000487 2 -0.025308 -0.1993 0.42135 3 -0.006337 -0.0499 0.480181 4 -0.131059 -1.032 0.15305 5 0.216609 1.7056 0.046546 6 -0.001855 -0.0146 0.494196 7 -0.125075 -0.9848 0.164265 8 -0.089179 -0.7022 0.242593 9 0.29259 2.3039 0.012298 10 -0.175512 -1.382 0.085968 11 0.038871 0.3061 0.380287 12 -0.064769 -0.51 0.305933 13 -0.159611 -1.2568 0.106775 14 0.392086 3.0873 0.00151 15 -0.229945 -1.8106 0.037525 16 -0.024 -0.189 0.425365 17 0.029401 0.2315 0.408842 18 0.072629 0.5719 0.284736 19 0.006309 0.0497 0.480271 20 -0.018563 -0.1462 0.442133 21 -0.080554 -0.6343 0.264114 22 -0.111977 -0.8817 0.19067 23 0.326237 2.5688 0.006313 24 -0.162349 -1.2783 0.102947 25 0.022714 0.1788 0.42932 26 -0.066244 -0.5216 0.301903 27 0.005009 0.0394 0.484334 28 0.124848 0.9831 0.164701 29 -0.108467 -0.8541 0.198178 30 0.019053 0.15 0.440618 31 -0.143309 -1.1284 0.131746 32 0.173517 1.3663 0.088394 33 0.037819 0.2978 0.383432 34 -0.068515 -0.5395 0.295742 35 0.002237 0.0176 0.493001 36 -0.137991 -1.0865 0.140723

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 -0.439783 -3.4629 0.000487 2 -0.271162 -2.1351 0.018355 3 -0.186994 -1.4724 0.072986 4 -0.314314 -2.4749 0.008038 5 -0.033771 -0.2659 0.395595 6 0.081607 0.6426 0.261436 7 -0.055168 -0.4344 0.332755 8 -0.243368 -1.9163 0.029971 9 0.21758 1.7132 0.045834 10 0.038677 0.3045 0.380866 11 -0.046663 -0.3674 0.357276 12 -0.077526 -0.6104 0.271902 13 -0.205119 -1.6151 0.055682 14 0.141673 1.1155 0.134464 15 -0.082508 -0.6497 0.259153 16 -0.122284 -0.9629 0.169678 17 -0.006352 -0.05 0.480134 18 0.169827 1.3372 0.093018 19 0.047873 0.377 0.353747 20 -0.026734 -0.2105 0.416981 21 0.041252 0.3248 0.373205 22 -0.103439 -0.8145 0.209244 23 0.008158 0.0642 0.474494 24 0.02506 0.1973 0.42211 25 0.051931 0.4089 0.342009 26 -0.042613 -0.3355 0.369178 27 0.05061 0.3985 0.345814 28 0.02306 0.1816 0.428253 29 -0.039935 -0.3144 0.377119 30 0.051899 0.4087 0.342102 31 -0.137677 -1.0841 0.141266 32 -0.14053 -1.1065 0.136385 33 0.096858 0.7627 0.22428 34 0.014978 0.1179 0.453249 35 0.005146 0.0405 0.483905 36 -0.079302 -0.6244 0.267321

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.439783 & -3.4629 & 0.000487 \tabularnewline
2 & -0.271162 & -2.1351 & 0.018355 \tabularnewline
3 & -0.186994 & -1.4724 & 0.072986 \tabularnewline
4 & -0.314314 & -2.4749 & 0.008038 \tabularnewline
5 & -0.033771 & -0.2659 & 0.395595 \tabularnewline
6 & 0.081607 & 0.6426 & 0.261436 \tabularnewline
7 & -0.055168 & -0.4344 & 0.332755 \tabularnewline
8 & -0.243368 & -1.9163 & 0.029971 \tabularnewline
9 & 0.21758 & 1.7132 & 0.045834 \tabularnewline
10 & 0.038677 & 0.3045 & 0.380866 \tabularnewline
11 & -0.046663 & -0.3674 & 0.357276 \tabularnewline
12 & -0.077526 & -0.6104 & 0.271902 \tabularnewline
13 & -0.205119 & -1.6151 & 0.055682 \tabularnewline
14 & 0.141673 & 1.1155 & 0.134464 \tabularnewline
15 & -0.082508 & -0.6497 & 0.259153 \tabularnewline
16 & -0.122284 & -0.9629 & 0.169678 \tabularnewline
17 & -0.006352 & -0.05 & 0.480134 \tabularnewline
18 & 0.169827 & 1.3372 & 0.093018 \tabularnewline
19 & 0.047873 & 0.377 & 0.353747 \tabularnewline
20 & -0.026734 & -0.2105 & 0.416981 \tabularnewline
21 & 0.041252 & 0.3248 & 0.373205 \tabularnewline
22 & -0.103439 & -0.8145 & 0.209244 \tabularnewline
23 & 0.008158 & 0.0642 & 0.474494 \tabularnewline
24 & 0.02506 & 0.1973 & 0.42211 \tabularnewline
25 & 0.051931 & 0.4089 & 0.342009 \tabularnewline
26 & -0.042613 & -0.3355 & 0.369178 \tabularnewline
27 & 0.05061 & 0.3985 & 0.345814 \tabularnewline
28 & 0.02306 & 0.1816 & 0.428253 \tabularnewline
29 & -0.039935 & -0.3144 & 0.377119 \tabularnewline
30 & 0.051899 & 0.4087 & 0.342102 \tabularnewline
31 & -0.137677 & -1.0841 & 0.141266 \tabularnewline
32 & -0.14053 & -1.1065 & 0.136385 \tabularnewline
33 & 0.096858 & 0.7627 & 0.22428 \tabularnewline
34 & 0.014978 & 0.1179 & 0.453249 \tabularnewline
35 & 0.005146 & 0.0405 & 0.483905 \tabularnewline
36 & -0.079302 & -0.6244 & 0.267321 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58618&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]-0.439783[/C][C]-3.4629[/C][C]0.000487[/C][/ROW]
[ROW][C]2[/C][C]-0.271162[/C][C]-2.1351[/C][C]0.018355[/C][/ROW]
[ROW][C]3[/C][C]-0.186994[/C][C]-1.4724[/C][C]0.072986[/C][/ROW]
[ROW][C]4[/C][C]-0.314314[/C][C]-2.4749[/C][C]0.008038[/C][/ROW]
[ROW][C]5[/C][C]-0.033771[/C][C]-0.2659[/C][C]0.395595[/C][/ROW]
[ROW][C]6[/C][C]0.081607[/C][C]0.6426[/C][C]0.261436[/C][/ROW]
[ROW][C]7[/C][C]-0.055168[/C][C]-0.4344[/C][C]0.332755[/C][/ROW]
[ROW][C]8[/C][C]-0.243368[/C][C]-1.9163[/C][C]0.029971[/C][/ROW]
[ROW][C]9[/C][C]0.21758[/C][C]1.7132[/C][C]0.045834[/C][/ROW]
[ROW][C]10[/C][C]0.038677[/C][C]0.3045[/C][C]0.380866[/C][/ROW]
[ROW][C]11[/C][C]-0.046663[/C][C]-0.3674[/C][C]0.357276[/C][/ROW]
[ROW][C]12[/C][C]-0.077526[/C][C]-0.6104[/C][C]0.271902[/C][/ROW]
[ROW][C]13[/C][C]-0.205119[/C][C]-1.6151[/C][C]0.055682[/C][/ROW]
[ROW][C]14[/C][C]0.141673[/C][C]1.1155[/C][C]0.134464[/C][/ROW]
[ROW][C]15[/C][C]-0.082508[/C][C]-0.6497[/C][C]0.259153[/C][/ROW]
[ROW][C]16[/C][C]-0.122284[/C][C]-0.9629[/C][C]0.169678[/C][/ROW]
[ROW][C]17[/C][C]-0.006352[/C][C]-0.05[/C][C]0.480134[/C][/ROW]
[ROW][C]18[/C][C]0.169827[/C][C]1.3372[/C][C]0.093018[/C][/ROW]
[ROW][C]19[/C][C]0.047873[/C][C]0.377[/C][C]0.353747[/C][/ROW]
[ROW][C]20[/C][C]-0.026734[/C][C]-0.2105[/C][C]0.416981[/C][/ROW]
[ROW][C]21[/C][C]0.041252[/C][C]0.3248[/C][C]0.373205[/C][/ROW]
[ROW][C]22[/C][C]-0.103439[/C][C]-0.8145[/C][C]0.209244[/C][/ROW]
[ROW][C]23[/C][C]0.008158[/C][C]0.0642[/C][C]0.474494[/C][/ROW]
[ROW][C]24[/C][C]0.02506[/C][C]0.1973[/C][C]0.42211[/C][/ROW]
[ROW][C]25[/C][C]0.051931[/C][C]0.4089[/C][C]0.342009[/C][/ROW]
[ROW][C]26[/C][C]-0.042613[/C][C]-0.3355[/C][C]0.369178[/C][/ROW]
[ROW][C]27[/C][C]0.05061[/C][C]0.3985[/C][C]0.345814[/C][/ROW]
[ROW][C]28[/C][C]0.02306[/C][C]0.1816[/C][C]0.428253[/C][/ROW]
[ROW][C]29[/C][C]-0.039935[/C][C]-0.3144[/C][C]0.377119[/C][/ROW]
[ROW][C]30[/C][C]0.051899[/C][C]0.4087[/C][C]0.342102[/C][/ROW]
[ROW][C]31[/C][C]-0.137677[/C][C]-1.0841[/C][C]0.141266[/C][/ROW]
[ROW][C]32[/C][C]-0.14053[/C][C]-1.1065[/C][C]0.136385[/C][/ROW]
[ROW][C]33[/C][C]0.096858[/C][C]0.7627[/C][C]0.22428[/C][/ROW]
[ROW][C]34[/C][C]0.014978[/C][C]0.1179[/C][C]0.453249[/C][/ROW]
[ROW][C]35[/C][C]0.005146[/C][C]0.0405[/C][C]0.483905[/C][/ROW]
[ROW][C]36[/C][C]-0.079302[/C][C]-0.6244[/C][C]0.267321[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58618&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58618&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 -0.439783 -3.4629 0.000487 2 -0.271162 -2.1351 0.018355 3 -0.186994 -1.4724 0.072986 4 -0.314314 -2.4749 0.008038 5 -0.033771 -0.2659 0.395595 6 0.081607 0.6426 0.261436 7 -0.055168 -0.4344 0.332755 8 -0.243368 -1.9163 0.029971 9 0.21758 1.7132 0.045834 10 0.038677 0.3045 0.380866 11 -0.046663 -0.3674 0.357276 12 -0.077526 -0.6104 0.271902 13 -0.205119 -1.6151 0.055682 14 0.141673 1.1155 0.134464 15 -0.082508 -0.6497 0.259153 16 -0.122284 -0.9629 0.169678 17 -0.006352 -0.05 0.480134 18 0.169827 1.3372 0.093018 19 0.047873 0.377 0.353747 20 -0.026734 -0.2105 0.416981 21 0.041252 0.3248 0.373205 22 -0.103439 -0.8145 0.209244 23 0.008158 0.0642 0.474494 24 0.02506 0.1973 0.42211 25 0.051931 0.4089 0.342009 26 -0.042613 -0.3355 0.369178 27 0.05061 0.3985 0.345814 28 0.02306 0.1816 0.428253 29 -0.039935 -0.3144 0.377119 30 0.051899 0.4087 0.342102 31 -0.137677 -1.0841 0.141266 32 -0.14053 -1.1065 0.136385 33 0.096858 0.7627 0.22428 34 0.014978 0.1179 0.453249 35 0.005146 0.0405 0.483905 36 -0.079302 -0.6244 0.267321

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')