## 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 13:19:56 +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/t1258892452e1zxt5o5469pb99.htm/, Retrieved Wed, 07 Aug 2024 23:16:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58617, Retrieved Wed, 07 Aug 2024 23:16:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact497
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 12:19:56] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-23 15:21:31] [5d885a68c2332cc44f6191ec94766bfa]
-   PD            [(Partial) Autocorrelation Function] [AC] [2009-12-04 12:13:18] [74be16979710d4c4e7c6647856088456]
-    D            [(Partial) Autocorrelation Function] [AC D=1] [2009-12-04 12:15:32] [74be16979710d4c4e7c6647856088456]
- R PD            [(Partial) Autocorrelation Function] [AutoCF d=0,D=1] [2009-12-04 15:15:19] [fa71ec4c741ffec745cb91dcbd756720]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-20 08:11:29] [5d885a68c2332cc44f6191ec94766bfa]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 09:58:46] [fef2f8976fa1eef1b54e2cee317fe737]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-18 11:19:36] [fef2f8976fa1eef1b54e2cee317fe737]
- R                 [(Partial) Autocorrelation Function] [Paper: ACF 2] [2010-12-22 20:22:11] [29e492448d11757ae0fad5ef6e7f8e86]
- R P               [(Partial) Autocorrelation Function] [Paper: ACF 3] [2010-12-22 20:24:01] [29e492448d11757ae0fad5ef6e7f8e86]
-    D            [(Partial) Autocorrelation Function] [] [2009-12-18 11:49:26] [fef2f8976fa1eef1b54e2cee317fe737]
-   P               [(Partial) Autocorrelation Function] [] [2009-12-18 11:51:01] [fef2f8976fa1eef1b54e2cee317fe737]
-   PD          [(Partial) Autocorrelation Function] [SHW WS8] [2009-11-24 11:55:31] [253127ae8da904b75450fbd69fe4eb21]
- R  D          [(Partial) Autocorrelation Function] [] [2009-11-24 12:56:46] [3445d50c581a74ea3ff7b84cc82fcfeb]
- R  D          [(Partial) Autocorrelation Function] [] [2009-11-24 13:47:21] [e2ae2d788de9b949efa455f763351347]
- R  D          [(Partial) Autocorrelation Function] [Bestedingen consu...] [2009-11-24 15:36:35] [54d83950395cfb8ca1091bdb7440f70a]
-    D          [(Partial) Autocorrelation Function] [SHWWS8methode1b] [2009-11-24 16:52:01] [a66d3a79ef9e5308cd94a469bc5ca464]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 18:04:56] [96d96f181930b548ce74f8c3116c4873]
-    D          [(Partial) Autocorrelation Function] [WS 8] [2009-11-24 18:29:00] [3e19a07d230ba260a720e0e03e0f40f2]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-24 19:35:12] [1c9e2d56abd8ff474f03ef7df8c5b4d9]
-    D          [(Partial) Autocorrelation Function] [ws 8] [2009-11-24 20:29:11] [b5908418e3090fddbd22f5f0f774653d]
-   PD            [(Partial) Autocorrelation Function] [ws 8] [2009-11-25 16:54:58] [b5908418e3090fddbd22f5f0f774653d]
-   PD            [(Partial) Autocorrelation Function] [ws 8] [2009-11-25 17:07:43] [b5908418e3090fddbd22f5f0f774653d]
-   PD              [(Partial) Autocorrelation Function] [WS8] [2009-11-27 15:28:25] [37a8d600db9abe09a2528d150ccff095]
-   P               [(Partial) Autocorrelation Function] [ws 9] [2009-12-03 17:03:35] [b5908418e3090fddbd22f5f0f774653d]
-   P               [(Partial) Autocorrelation Function] [ws 9] [2009-12-03 17:05:32] [b5908418e3090fddbd22f5f0f774653d]
-   PD            [(Partial) Autocorrelation Function] [ws 8] [2009-11-25 17:10:44] [b5908418e3090fddbd22f5f0f774653d]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-25 08:14:28] [325e037ef8beb77178124dff9c2e015a]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-25 12:07:39] [d811f621c525a990f9b60f1ae1e2e8fd]
-   P             [(Partial) Autocorrelation Function] [ACF D=1, d=1] [2009-12-03 15:46:01] [4f1a20f787b3465111b61213cdeef1a9]
-    D          [(Partial) Autocorrelation Function] [WS 8 Methode 1:AC...] [2009-11-25 13:05:26] [b103a1dc147def8132c7f643ad8c8f84]
-    D            [(Partial) Autocorrelation Function] [Paper: (Partial) ...] [2009-12-17 13:16:42] [b103a1dc147def8132c7f643ad8c8f84]
-    D          [(Partial) Autocorrelation Function] [Partial Correlati...] [2009-11-25 13:42:22] [4395c69e961f9a13a0559fd2f0a72538]
-                 [(Partial) Autocorrelation Function] [link2] [2009-12-01 20:37:10] [b5ba85a7ae9f50cb97d92cbc56161b32]
-   PD          [(Partial) Autocorrelation Function] [ACF(2)] [2009-11-25 15:43:27] [d2bea3ec23e91643318a5bccf3e3b9df]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-25 15:42:58] [7e8bf94ac9834384fa22d029eca19fa6]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-25 15:47:01] [7e8bf94ac9834384fa22d029eca19fa6]
-    D          [(Partial) Autocorrelation Function] [WS8] [2009-11-25 16:14:29] [90e6802d28d0afa9b030a19cd25ed2b0]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-25 16:49:12] [cf890101a20378422561610e0d41fd9c]
-   PD            [(Partial) Autocorrelation Function] [WS8 d=1] [2009-11-29 12:13:58] [626f1d98f4a7f05bcb9f17666b672c60]
-   PD            [(Partial) Autocorrelation Function] [workshop 8 review] [2009-11-29 15:09:02] [309ee52d0058ff0a6f7eec15e07b2d9f]
-    D          [(Partial) Autocorrelation Function] [] [2009-11-25 17:15:17] [80b559301b076f6db87527dfd2199d75]
-    D          [(Partial) Autocorrelation Function] [WS 8.2] [2009-11-25 18:26:16] [74be16979710d4c4e7c6647856088456]
-    D          [(Partial) Autocorrelation Function] [WS8-ACF2] [2009-11-25 18:52:28] [a94022e7c2399c0f4d62eea578db3411]
-    D            [(Partial) Autocorrelation Function] [WS8] [2009-11-27 19:22:50] [9f35ad889e41dd0c9322ca60d75b9f47]
- R  D          [(Partial) Autocorrelation Function] [ACF Link 2] [2009-11-25 18:57:31] [1f74ef2f756548f1f3a7b6136ea56d7f]
-    D            [(Partial) Autocorrelation Function] [ACF d=1 D=0] [2009-12-02 19:11:03] [74be16979710d4c4e7c6647856088456]
-    D            [(Partial) Autocorrelation Function] [ACF d=1 D=0] [2009-12-02 19:11:03] [1f74ef2f756548f1f3a7b6136ea56d7f]
-                   [(Partial) Autocorrelation Function] [ACF d=1 D=1] [2009-12-02 20:15:15] [1f74ef2f756548f1f3a7b6136ea56d7f]

[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 2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58617&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]2 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=58617&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58617&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 2 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.304196 2.4145 0.009337 2 0.250388 1.9874 0.025615 3 0.237906 1.8883 0.031795 4 0.228814 1.8162 0.037052 5 0.382906 3.0392 0.001726 6 0.25048 1.9881 0.025574 7 0.109219 0.8669 0.194643 8 0.15999 1.2699 0.104398 9 0.297913 2.3646 0.010571 10 0.054604 0.4334 0.3331 11 0.041247 0.3274 0.372229 12 -0.003171 -0.0252 0.49 13 0.01041 0.0826 0.467204 14 0.245181 1.9461 0.028055 15 -0.025139 -0.1995 0.421244 16 0.006145 0.0488 0.480626 17 0.074405 0.5906 0.278461 18 0.063946 0.5076 0.306769 19 -0.012452 -0.0988 0.460792 20 -0.072402 -0.5747 0.283778 21 -0.110805 -0.8795 0.191241 22 -0.040282 -0.3197 0.375117 23 0.152421 1.2098 0.115437 24 -0.096984 -0.7698 0.222151 25 -0.108719 -0.8629 0.195724 26 -0.139412 -1.1066 0.136348 27 -0.094783 -0.7523 0.227331 28 -0.060529 -0.4804 0.316291 29 -0.168053 -1.3339 0.093522 30 -0.156011 -1.2383 0.1101 31 -0.157997 -1.2541 0.107226 32 0.007828 0.0621 0.475328 33 -0.069805 -0.5541 0.290749 34 -0.162297 -1.2882 0.101196 35 -0.156064 -1.2387 0.110023 36 -0.17747 -1.4086 0.081931

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.304196 & 2.4145 & 0.009337 \tabularnewline
2 & 0.250388 & 1.9874 & 0.025615 \tabularnewline
3 & 0.237906 & 1.8883 & 0.031795 \tabularnewline
4 & 0.228814 & 1.8162 & 0.037052 \tabularnewline
5 & 0.382906 & 3.0392 & 0.001726 \tabularnewline
6 & 0.25048 & 1.9881 & 0.025574 \tabularnewline
7 & 0.109219 & 0.8669 & 0.194643 \tabularnewline
8 & 0.15999 & 1.2699 & 0.104398 \tabularnewline
9 & 0.297913 & 2.3646 & 0.010571 \tabularnewline
10 & 0.054604 & 0.4334 & 0.3331 \tabularnewline
11 & 0.041247 & 0.3274 & 0.372229 \tabularnewline
12 & -0.003171 & -0.0252 & 0.49 \tabularnewline
13 & 0.01041 & 0.0826 & 0.467204 \tabularnewline
14 & 0.245181 & 1.9461 & 0.028055 \tabularnewline
15 & -0.025139 & -0.1995 & 0.421244 \tabularnewline
16 & 0.006145 & 0.0488 & 0.480626 \tabularnewline
17 & 0.074405 & 0.5906 & 0.278461 \tabularnewline
18 & 0.063946 & 0.5076 & 0.306769 \tabularnewline
19 & -0.012452 & -0.0988 & 0.460792 \tabularnewline
20 & -0.072402 & -0.5747 & 0.283778 \tabularnewline
21 & -0.110805 & -0.8795 & 0.191241 \tabularnewline
22 & -0.040282 & -0.3197 & 0.375117 \tabularnewline
23 & 0.152421 & 1.2098 & 0.115437 \tabularnewline
24 & -0.096984 & -0.7698 & 0.222151 \tabularnewline
25 & -0.108719 & -0.8629 & 0.195724 \tabularnewline
26 & -0.139412 & -1.1066 & 0.136348 \tabularnewline
27 & -0.094783 & -0.7523 & 0.227331 \tabularnewline
28 & -0.060529 & -0.4804 & 0.316291 \tabularnewline
29 & -0.168053 & -1.3339 & 0.093522 \tabularnewline
30 & -0.156011 & -1.2383 & 0.1101 \tabularnewline
31 & -0.157997 & -1.2541 & 0.107226 \tabularnewline
32 & 0.007828 & 0.0621 & 0.475328 \tabularnewline
33 & -0.069805 & -0.5541 & 0.290749 \tabularnewline
34 & -0.162297 & -1.2882 & 0.101196 \tabularnewline
35 & -0.156064 & -1.2387 & 0.110023 \tabularnewline
36 & -0.17747 & -1.4086 & 0.081931 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58617&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]0.304196[/C][C]2.4145[/C][C]0.009337[/C][/ROW]
[ROW][C]2[/C][C]0.250388[/C][C]1.9874[/C][C]0.025615[/C][/ROW]
[ROW][C]3[/C][C]0.237906[/C][C]1.8883[/C][C]0.031795[/C][/ROW]
[ROW][C]4[/C][C]0.228814[/C][C]1.8162[/C][C]0.037052[/C][/ROW]
[ROW][C]5[/C][C]0.382906[/C][C]3.0392[/C][C]0.001726[/C][/ROW]
[ROW][C]6[/C][C]0.25048[/C][C]1.9881[/C][C]0.025574[/C][/ROW]
[ROW][C]7[/C][C]0.109219[/C][C]0.8669[/C][C]0.194643[/C][/ROW]
[ROW][C]8[/C][C]0.15999[/C][C]1.2699[/C][C]0.104398[/C][/ROW]
[ROW][C]9[/C][C]0.297913[/C][C]2.3646[/C][C]0.010571[/C][/ROW]
[ROW][C]10[/C][C]0.054604[/C][C]0.4334[/C][C]0.3331[/C][/ROW]
[ROW][C]11[/C][C]0.041247[/C][C]0.3274[/C][C]0.372229[/C][/ROW]
[ROW][C]12[/C][C]-0.003171[/C][C]-0.0252[/C][C]0.49[/C][/ROW]
[ROW][C]13[/C][C]0.01041[/C][C]0.0826[/C][C]0.467204[/C][/ROW]
[ROW][C]14[/C][C]0.245181[/C][C]1.9461[/C][C]0.028055[/C][/ROW]
[ROW][C]15[/C][C]-0.025139[/C][C]-0.1995[/C][C]0.421244[/C][/ROW]
[ROW][C]16[/C][C]0.006145[/C][C]0.0488[/C][C]0.480626[/C][/ROW]
[ROW][C]17[/C][C]0.074405[/C][C]0.5906[/C][C]0.278461[/C][/ROW]
[ROW][C]18[/C][C]0.063946[/C][C]0.5076[/C][C]0.306769[/C][/ROW]
[ROW][C]19[/C][C]-0.012452[/C][C]-0.0988[/C][C]0.460792[/C][/ROW]
[ROW][C]20[/C][C]-0.072402[/C][C]-0.5747[/C][C]0.283778[/C][/ROW]
[ROW][C]21[/C][C]-0.110805[/C][C]-0.8795[/C][C]0.191241[/C][/ROW]
[ROW][C]22[/C][C]-0.040282[/C][C]-0.3197[/C][C]0.375117[/C][/ROW]
[ROW][C]23[/C][C]0.152421[/C][C]1.2098[/C][C]0.115437[/C][/ROW]
[ROW][C]24[/C][C]-0.096984[/C][C]-0.7698[/C][C]0.222151[/C][/ROW]
[ROW][C]25[/C][C]-0.108719[/C][C]-0.8629[/C][C]0.195724[/C][/ROW]
[ROW][C]26[/C][C]-0.139412[/C][C]-1.1066[/C][C]0.136348[/C][/ROW]
[ROW][C]27[/C][C]-0.094783[/C][C]-0.7523[/C][C]0.227331[/C][/ROW]
[ROW][C]28[/C][C]-0.060529[/C][C]-0.4804[/C][C]0.316291[/C][/ROW]
[ROW][C]29[/C][C]-0.168053[/C][C]-1.3339[/C][C]0.093522[/C][/ROW]
[ROW][C]30[/C][C]-0.156011[/C][C]-1.2383[/C][C]0.1101[/C][/ROW]
[ROW][C]31[/C][C]-0.157997[/C][C]-1.2541[/C][C]0.107226[/C][/ROW]
[ROW][C]32[/C][C]0.007828[/C][C]0.0621[/C][C]0.475328[/C][/ROW]
[ROW][C]33[/C][C]-0.069805[/C][C]-0.5541[/C][C]0.290749[/C][/ROW]
[ROW][C]34[/C][C]-0.162297[/C][C]-1.2882[/C][C]0.101196[/C][/ROW]
[ROW][C]35[/C][C]-0.156064[/C][C]-1.2387[/C][C]0.110023[/C][/ROW]
[ROW][C]36[/C][C]-0.17747[/C][C]-1.4086[/C][C]0.081931[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58617&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58617&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 0.304196 2.4145 0.009337 2 0.250388 1.9874 0.025615 3 0.237906 1.8883 0.031795 4 0.228814 1.8162 0.037052 5 0.382906 3.0392 0.001726 6 0.25048 1.9881 0.025574 7 0.109219 0.8669 0.194643 8 0.15999 1.2699 0.104398 9 0.297913 2.3646 0.010571 10 0.054604 0.4334 0.3331 11 0.041247 0.3274 0.372229 12 -0.003171 -0.0252 0.49 13 0.01041 0.0826 0.467204 14 0.245181 1.9461 0.028055 15 -0.025139 -0.1995 0.421244 16 0.006145 0.0488 0.480626 17 0.074405 0.5906 0.278461 18 0.063946 0.5076 0.306769 19 -0.012452 -0.0988 0.460792 20 -0.072402 -0.5747 0.283778 21 -0.110805 -0.8795 0.191241 22 -0.040282 -0.3197 0.375117 23 0.152421 1.2098 0.115437 24 -0.096984 -0.7698 0.222151 25 -0.108719 -0.8629 0.195724 26 -0.139412 -1.1066 0.136348 27 -0.094783 -0.7523 0.227331 28 -0.060529 -0.4804 0.316291 29 -0.168053 -1.3339 0.093522 30 -0.156011 -1.2383 0.1101 31 -0.157997 -1.2541 0.107226 32 0.007828 0.0621 0.475328 33 -0.069805 -0.5541 0.290749 34 -0.162297 -1.2882 0.101196 35 -0.156064 -1.2387 0.110023 36 -0.17747 -1.4086 0.081931

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.304196 2.4145 0.009337 2 0.173949 1.3807 0.086128 3 0.138718 1.101 0.137533 4 0.113257 0.8989 0.186051 5 0.284551 2.2586 0.013691 6 0.054416 0.4319 0.333641 7 -0.101531 -0.8059 0.211673 8 0.019659 0.156 0.438251 9 0.204788 1.6255 0.054529 10 -0.225183 -1.7873 0.039347 11 -0.126322 -1.0027 0.159932 12 -0.033912 -0.2692 0.394339 13 -0.022314 -0.1771 0.429995 14 0.170423 1.3527 0.090495 15 -0.117086 -0.9293 0.17813 16 0.07431 0.5898 0.278711 17 0.118664 0.9419 0.174929 18 0.005945 0.0472 0.481255 19 -0.159668 -1.2673 0.104851 20 -0.082965 -0.6585 0.256304 21 -0.041325 -0.328 0.371996 22 -0.073591 -0.5841 0.280616 23 0.109041 0.8655 0.195027 24 -0.024219 -0.1922 0.424088 25 -0.052941 -0.4202 0.337881 26 -0.083216 -0.6605 0.255667 27 0.030499 0.2421 0.404752 28 -0.080158 -0.6362 0.263465 29 -0.056716 -0.4502 0.327068 30 -0.000948 -0.0075 0.497011 31 -0.094228 -0.7479 0.228649 32 0.09729 0.7722 0.221437 33 0.107951 0.8568 0.197393 34 -0.076191 -0.6047 0.273759 35 -0.012085 -0.0959 0.461943 36 -0.059065 -0.4688 0.32041

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.304196 & 2.4145 & 0.009337 \tabularnewline
2 & 0.173949 & 1.3807 & 0.086128 \tabularnewline
3 & 0.138718 & 1.101 & 0.137533 \tabularnewline
4 & 0.113257 & 0.8989 & 0.186051 \tabularnewline
5 & 0.284551 & 2.2586 & 0.013691 \tabularnewline
6 & 0.054416 & 0.4319 & 0.333641 \tabularnewline
7 & -0.101531 & -0.8059 & 0.211673 \tabularnewline
8 & 0.019659 & 0.156 & 0.438251 \tabularnewline
9 & 0.204788 & 1.6255 & 0.054529 \tabularnewline
10 & -0.225183 & -1.7873 & 0.039347 \tabularnewline
11 & -0.126322 & -1.0027 & 0.159932 \tabularnewline
12 & -0.033912 & -0.2692 & 0.394339 \tabularnewline
13 & -0.022314 & -0.1771 & 0.429995 \tabularnewline
14 & 0.170423 & 1.3527 & 0.090495 \tabularnewline
15 & -0.117086 & -0.9293 & 0.17813 \tabularnewline
16 & 0.07431 & 0.5898 & 0.278711 \tabularnewline
17 & 0.118664 & 0.9419 & 0.174929 \tabularnewline
18 & 0.005945 & 0.0472 & 0.481255 \tabularnewline
19 & -0.159668 & -1.2673 & 0.104851 \tabularnewline
20 & -0.082965 & -0.6585 & 0.256304 \tabularnewline
21 & -0.041325 & -0.328 & 0.371996 \tabularnewline
22 & -0.073591 & -0.5841 & 0.280616 \tabularnewline
23 & 0.109041 & 0.8655 & 0.195027 \tabularnewline
24 & -0.024219 & -0.1922 & 0.424088 \tabularnewline
25 & -0.052941 & -0.4202 & 0.337881 \tabularnewline
26 & -0.083216 & -0.6605 & 0.255667 \tabularnewline
27 & 0.030499 & 0.2421 & 0.404752 \tabularnewline
28 & -0.080158 & -0.6362 & 0.263465 \tabularnewline
29 & -0.056716 & -0.4502 & 0.327068 \tabularnewline
30 & -0.000948 & -0.0075 & 0.497011 \tabularnewline
31 & -0.094228 & -0.7479 & 0.228649 \tabularnewline
32 & 0.09729 & 0.7722 & 0.221437 \tabularnewline
33 & 0.107951 & 0.8568 & 0.197393 \tabularnewline
34 & -0.076191 & -0.6047 & 0.273759 \tabularnewline
35 & -0.012085 & -0.0959 & 0.461943 \tabularnewline
36 & -0.059065 & -0.4688 & 0.32041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58617&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]0.304196[/C][C]2.4145[/C][C]0.009337[/C][/ROW]
[ROW][C]2[/C][C]0.173949[/C][C]1.3807[/C][C]0.086128[/C][/ROW]
[ROW][C]3[/C][C]0.138718[/C][C]1.101[/C][C]0.137533[/C][/ROW]
[ROW][C]4[/C][C]0.113257[/C][C]0.8989[/C][C]0.186051[/C][/ROW]
[ROW][C]5[/C][C]0.284551[/C][C]2.2586[/C][C]0.013691[/C][/ROW]
[ROW][C]6[/C][C]0.054416[/C][C]0.4319[/C][C]0.333641[/C][/ROW]
[ROW][C]7[/C][C]-0.101531[/C][C]-0.8059[/C][C]0.211673[/C][/ROW]
[ROW][C]8[/C][C]0.019659[/C][C]0.156[/C][C]0.438251[/C][/ROW]
[ROW][C]9[/C][C]0.204788[/C][C]1.6255[/C][C]0.054529[/C][/ROW]
[ROW][C]10[/C][C]-0.225183[/C][C]-1.7873[/C][C]0.039347[/C][/ROW]
[ROW][C]11[/C][C]-0.126322[/C][C]-1.0027[/C][C]0.159932[/C][/ROW]
[ROW][C]12[/C][C]-0.033912[/C][C]-0.2692[/C][C]0.394339[/C][/ROW]
[ROW][C]13[/C][C]-0.022314[/C][C]-0.1771[/C][C]0.429995[/C][/ROW]
[ROW][C]14[/C][C]0.170423[/C][C]1.3527[/C][C]0.090495[/C][/ROW]
[ROW][C]15[/C][C]-0.117086[/C][C]-0.9293[/C][C]0.17813[/C][/ROW]
[ROW][C]16[/C][C]0.07431[/C][C]0.5898[/C][C]0.278711[/C][/ROW]
[ROW][C]17[/C][C]0.118664[/C][C]0.9419[/C][C]0.174929[/C][/ROW]
[ROW][C]18[/C][C]0.005945[/C][C]0.0472[/C][C]0.481255[/C][/ROW]
[ROW][C]19[/C][C]-0.159668[/C][C]-1.2673[/C][C]0.104851[/C][/ROW]
[ROW][C]20[/C][C]-0.082965[/C][C]-0.6585[/C][C]0.256304[/C][/ROW]
[ROW][C]21[/C][C]-0.041325[/C][C]-0.328[/C][C]0.371996[/C][/ROW]
[ROW][C]22[/C][C]-0.073591[/C][C]-0.5841[/C][C]0.280616[/C][/ROW]
[ROW][C]23[/C][C]0.109041[/C][C]0.8655[/C][C]0.195027[/C][/ROW]
[ROW][C]24[/C][C]-0.024219[/C][C]-0.1922[/C][C]0.424088[/C][/ROW]
[ROW][C]25[/C][C]-0.052941[/C][C]-0.4202[/C][C]0.337881[/C][/ROW]
[ROW][C]26[/C][C]-0.083216[/C][C]-0.6605[/C][C]0.255667[/C][/ROW]
[ROW][C]27[/C][C]0.030499[/C][C]0.2421[/C][C]0.404752[/C][/ROW]
[ROW][C]28[/C][C]-0.080158[/C][C]-0.6362[/C][C]0.263465[/C][/ROW]
[ROW][C]29[/C][C]-0.056716[/C][C]-0.4502[/C][C]0.327068[/C][/ROW]
[ROW][C]30[/C][C]-0.000948[/C][C]-0.0075[/C][C]0.497011[/C][/ROW]
[ROW][C]31[/C][C]-0.094228[/C][C]-0.7479[/C][C]0.228649[/C][/ROW]
[ROW][C]32[/C][C]0.09729[/C][C]0.7722[/C][C]0.221437[/C][/ROW]
[ROW][C]33[/C][C]0.107951[/C][C]0.8568[/C][C]0.197393[/C][/ROW]
[ROW][C]34[/C][C]-0.076191[/C][C]-0.6047[/C][C]0.273759[/C][/ROW]
[ROW][C]35[/C][C]-0.012085[/C][C]-0.0959[/C][C]0.461943[/C][/ROW]
[ROW][C]36[/C][C]-0.059065[/C][C]-0.4688[/C][C]0.32041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58617&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58617&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 0.304196 2.4145 0.009337 2 0.173949 1.3807 0.086128 3 0.138718 1.101 0.137533 4 0.113257 0.8989 0.186051 5 0.284551 2.2586 0.013691 6 0.054416 0.4319 0.333641 7 -0.101531 -0.8059 0.211673 8 0.019659 0.156 0.438251 9 0.204788 1.6255 0.054529 10 -0.225183 -1.7873 0.039347 11 -0.126322 -1.0027 0.159932 12 -0.033912 -0.2692 0.394339 13 -0.022314 -0.1771 0.429995 14 0.170423 1.3527 0.090495 15 -0.117086 -0.9293 0.17813 16 0.07431 0.5898 0.278711 17 0.118664 0.9419 0.174929 18 0.005945 0.0472 0.481255 19 -0.159668 -1.2673 0.104851 20 -0.082965 -0.6585 0.256304 21 -0.041325 -0.328 0.371996 22 -0.073591 -0.5841 0.280616 23 0.109041 0.8655 0.195027 24 -0.024219 -0.1922 0.424088 25 -0.052941 -0.4202 0.337881 26 -0.083216 -0.6605 0.255667 27 0.030499 0.2421 0.404752 28 -0.080158 -0.6362 0.263465 29 -0.056716 -0.4502 0.327068 30 -0.000948 -0.0075 0.497011 31 -0.094228 -0.7479 0.228649 32 0.09729 0.7722 0.221437 33 0.107951 0.8568 0.197393 34 -0.076191 -0.6047 0.273759 35 -0.012085 -0.0959 0.461943 36 -0.059065 -0.4688 0.32041

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')