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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 13 Dec 2009 12:03:21 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/13/t1260731043jdzqoznnszm8kzk.htm/, Retrieved Sat, 27 Apr 2024 23:45:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=67396, Retrieved Sat, 27 Apr 2024 23:45:56 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

125

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] [b98453cac15ba1066b407e146608df68]
-    D        [(Partial) Autocorrelation Function] [WS8 D=0 en d=0] [2009-11-25 16:06:53] [445b292c553470d9fed8bc2796fd3a00]
-    D          [(Partial) Autocorrelation Function] [ws 8 d=0 D=0] [2009-11-25 20:46:27] [134dc66689e3d457a82860db6471d419]
-    D            [(Partial) Autocorrelation Function] [WS8] [2009-12-13 15:05:34] [85be98bd9ebcfd4d73e77f8552419c9a]
-    D              [(Partial) Autocorrelation Function] [WS9] [2009-12-13 18:59:07] [85be98bd9ebcfd4d73e77f8552419c9a]
-   PD                [(Partial) Autocorrelation Function] [WS9] [2009-12-13 19:01:13] [85be98bd9ebcfd4d73e77f8552419c9a]
-   P                     [(Partial) Autocorrelation Function] [WS9] [2009-12-13 19:03:21] [5cd0e65b1f56b3935a0672588b930e12] [Current]
-   P                       [(Partial) Autocorrelation Function] [WS9] [2009-12-13 19:11:37] [85be98bd9ebcfd4d73e77f8552419c9a] 

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Dataseries X:

Download CSV

Histogram

Boxplots

2.11
2.09
2.05
2.08
2.06
2.06
2.08
2.07
2.06
2.07
2.06
2.09
2.07
2.09
2.28
2.33
2.35
2.52
2.63
2.58
2.70
2.81
2.97
3.04
3.28
3.33
3.50
3.56
3.57
3.69
3.82
3.79
3.96
4.06
4.05
4.03
3.94
4.02
3.88
4.02
4.03
4.09
3.99
4.01
4.01
4.19
4.30
4.27
3.82
3.15
2.49
1.81
1.26
1.06
0.84
0.78
0.70
0.36
0.35
0.36

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	'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=67396&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=67396&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67396&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	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.609585	4.1791	6.3e-05
2	0.50043	3.4308	0.000632
3	0.288422	1.9773	0.026944
4	0.193343	1.3255	0.095708
5	0.09106	0.6243	0.267732
6	0.187913	1.2883	0.10198
7	0.169051	1.159	0.126165
8	0.179882	1.2332	0.111815
9	0.086263	0.5914	0.278546
10	0.011336	0.0777	0.469193
11	-0.005655	-0.0388	0.48462
12	-0.04557	-0.3124	0.378054
13	0.144819	0.9928	0.162938
14	0.042412	0.2908	0.386255
15	0.153405	1.0517	0.149158
16	0.051944	0.3561	0.361675
17	-0.004698	-0.0322	0.487221
18	-0.085067	-0.5832	0.281277
19	-0.020209	-0.1385	0.445202
20	-0.116177	-0.7965	0.214881
21	-0.05007	-0.3433	0.366465
22	-0.058064	-0.3981	0.346192
23	-0.028079	-0.1925	0.42409
24	-0.120289	-0.8247	0.206866
25	-0.146838	-1.0067	0.159624
26	-0.139735	-0.958	0.171488
27	-0.222474	-1.5252	0.066955
28	-0.205644	-1.4098	0.082588
29	-0.179181	-1.2284	0.112706
30	-0.172938	-1.1856	0.120869
31	-0.172584	-1.1832	0.121345
32	-0.154467	-1.059	0.147512
33	-0.196672	-1.3483	0.092009
34	-0.20619	-1.4136	0.082039
35	-0.232041	-1.5908	0.05918
36	-0.183843	-1.2604	0.10688

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.609585 & 4.1791 & 6.3e-05 \tabularnewline
2 & 0.50043 & 3.4308 & 0.000632 \tabularnewline
3 & 0.288422 & 1.9773 & 0.026944 \tabularnewline
4 & 0.193343 & 1.3255 & 0.095708 \tabularnewline
5 & 0.09106 & 0.6243 & 0.267732 \tabularnewline
6 & 0.187913 & 1.2883 & 0.10198 \tabularnewline
7 & 0.169051 & 1.159 & 0.126165 \tabularnewline
8 & 0.179882 & 1.2332 & 0.111815 \tabularnewline
9 & 0.086263 & 0.5914 & 0.278546 \tabularnewline
10 & 0.011336 & 0.0777 & 0.469193 \tabularnewline
11 & -0.005655 & -0.0388 & 0.48462 \tabularnewline
12 & -0.04557 & -0.3124 & 0.378054 \tabularnewline
13 & 0.144819 & 0.9928 & 0.162938 \tabularnewline
14 & 0.042412 & 0.2908 & 0.386255 \tabularnewline
15 & 0.153405 & 1.0517 & 0.149158 \tabularnewline
16 & 0.051944 & 0.3561 & 0.361675 \tabularnewline
17 & -0.004698 & -0.0322 & 0.487221 \tabularnewline
18 & -0.085067 & -0.5832 & 0.281277 \tabularnewline
19 & -0.020209 & -0.1385 & 0.445202 \tabularnewline
20 & -0.116177 & -0.7965 & 0.214881 \tabularnewline
21 & -0.05007 & -0.3433 & 0.366465 \tabularnewline
22 & -0.058064 & -0.3981 & 0.346192 \tabularnewline
23 & -0.028079 & -0.1925 & 0.42409 \tabularnewline
24 & -0.120289 & -0.8247 & 0.206866 \tabularnewline
25 & -0.146838 & -1.0067 & 0.159624 \tabularnewline
26 & -0.139735 & -0.958 & 0.171488 \tabularnewline
27 & -0.222474 & -1.5252 & 0.066955 \tabularnewline
28 & -0.205644 & -1.4098 & 0.082588 \tabularnewline
29 & -0.179181 & -1.2284 & 0.112706 \tabularnewline
30 & -0.172938 & -1.1856 & 0.120869 \tabularnewline
31 & -0.172584 & -1.1832 & 0.121345 \tabularnewline
32 & -0.154467 & -1.059 & 0.147512 \tabularnewline
33 & -0.196672 & -1.3483 & 0.092009 \tabularnewline
34 & -0.20619 & -1.4136 & 0.082039 \tabularnewline
35 & -0.232041 & -1.5908 & 0.05918 \tabularnewline
36 & -0.183843 & -1.2604 & 0.10688 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67396&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]0.609585[/C][C]4.1791[/C][C]6.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.50043[/C][C]3.4308[/C][C]0.000632[/C][/ROW]
[ROW][C]3[/C][C]0.288422[/C][C]1.9773[/C][C]0.026944[/C][/ROW]
[ROW][C]4[/C][C]0.193343[/C][C]1.3255[/C][C]0.095708[/C][/ROW]
[ROW][C]5[/C][C]0.09106[/C][C]0.6243[/C][C]0.267732[/C][/ROW]
[ROW][C]6[/C][C]0.187913[/C][C]1.2883[/C][C]0.10198[/C][/ROW]
[ROW][C]7[/C][C]0.169051[/C][C]1.159[/C][C]0.126165[/C][/ROW]
[ROW][C]8[/C][C]0.179882[/C][C]1.2332[/C][C]0.111815[/C][/ROW]
[ROW][C]9[/C][C]0.086263[/C][C]0.5914[/C][C]0.278546[/C][/ROW]
[ROW][C]10[/C][C]0.011336[/C][C]0.0777[/C][C]0.469193[/C][/ROW]
[ROW][C]11[/C][C]-0.005655[/C][C]-0.0388[/C][C]0.48462[/C][/ROW]
[ROW][C]12[/C][C]-0.04557[/C][C]-0.3124[/C][C]0.378054[/C][/ROW]
[ROW][C]13[/C][C]0.144819[/C][C]0.9928[/C][C]0.162938[/C][/ROW]
[ROW][C]14[/C][C]0.042412[/C][C]0.2908[/C][C]0.386255[/C][/ROW]
[ROW][C]15[/C][C]0.153405[/C][C]1.0517[/C][C]0.149158[/C][/ROW]
[ROW][C]16[/C][C]0.051944[/C][C]0.3561[/C][C]0.361675[/C][/ROW]
[ROW][C]17[/C][C]-0.004698[/C][C]-0.0322[/C][C]0.487221[/C][/ROW]
[ROW][C]18[/C][C]-0.085067[/C][C]-0.5832[/C][C]0.281277[/C][/ROW]
[ROW][C]19[/C][C]-0.020209[/C][C]-0.1385[/C][C]0.445202[/C][/ROW]
[ROW][C]20[/C][C]-0.116177[/C][C]-0.7965[/C][C]0.214881[/C][/ROW]
[ROW][C]21[/C][C]-0.05007[/C][C]-0.3433[/C][C]0.366465[/C][/ROW]
[ROW][C]22[/C][C]-0.058064[/C][C]-0.3981[/C][C]0.346192[/C][/ROW]
[ROW][C]23[/C][C]-0.028079[/C][C]-0.1925[/C][C]0.42409[/C][/ROW]
[ROW][C]24[/C][C]-0.120289[/C][C]-0.8247[/C][C]0.206866[/C][/ROW]
[ROW][C]25[/C][C]-0.146838[/C][C]-1.0067[/C][C]0.159624[/C][/ROW]
[ROW][C]26[/C][C]-0.139735[/C][C]-0.958[/C][C]0.171488[/C][/ROW]
[ROW][C]27[/C][C]-0.222474[/C][C]-1.5252[/C][C]0.066955[/C][/ROW]
[ROW][C]28[/C][C]-0.205644[/C][C]-1.4098[/C][C]0.082588[/C][/ROW]
[ROW][C]29[/C][C]-0.179181[/C][C]-1.2284[/C][C]0.112706[/C][/ROW]
[ROW][C]30[/C][C]-0.172938[/C][C]-1.1856[/C][C]0.120869[/C][/ROW]
[ROW][C]31[/C][C]-0.172584[/C][C]-1.1832[/C][C]0.121345[/C][/ROW]
[ROW][C]32[/C][C]-0.154467[/C][C]-1.059[/C][C]0.147512[/C][/ROW]
[ROW][C]33[/C][C]-0.196672[/C][C]-1.3483[/C][C]0.092009[/C][/ROW]
[ROW][C]34[/C][C]-0.20619[/C][C]-1.4136[/C][C]0.082039[/C][/ROW]
[ROW][C]35[/C][C]-0.232041[/C][C]-1.5908[/C][C]0.05918[/C][/ROW]
[ROW][C]36[/C][C]-0.183843[/C][C]-1.2604[/C][C]0.10688[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67396&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67396&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	0.609585	4.1791	6.3e-05
2	0.50043	3.4308	0.000632
3	0.288422	1.9773	0.026944
4	0.193343	1.3255	0.095708
5	0.09106	0.6243	0.267732
6	0.187913	1.2883	0.10198
7	0.169051	1.159	0.126165
8	0.179882	1.2332	0.111815
9	0.086263	0.5914	0.278546
10	0.011336	0.0777	0.469193
11	-0.005655	-0.0388	0.48462
12	-0.04557	-0.3124	0.378054
13	0.144819	0.9928	0.162938
14	0.042412	0.2908	0.386255
15	0.153405	1.0517	0.149158
16	0.051944	0.3561	0.361675
17	-0.004698	-0.0322	0.487221
18	-0.085067	-0.5832	0.281277
19	-0.020209	-0.1385	0.445202
20	-0.116177	-0.7965	0.214881
21	-0.05007	-0.3433	0.366465
22	-0.058064	-0.3981	0.346192
23	-0.028079	-0.1925	0.42409
24	-0.120289	-0.8247	0.206866
25	-0.146838	-1.0067	0.159624
26	-0.139735	-0.958	0.171488
27	-0.222474	-1.5252	0.066955
28	-0.205644	-1.4098	0.082588
29	-0.179181	-1.2284	0.112706
30	-0.172938	-1.1856	0.120869
31	-0.172584	-1.1832	0.121345
32	-0.154467	-1.059	0.147512
33	-0.196672	-1.3483	0.092009
34	-0.20619	-1.4136	0.082039
35	-0.232041	-1.5908	0.05918
36	-0.183843	-1.2604	0.10688

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.609585	4.1791	6.3e-05
2	0.20502	1.4055	0.083218
3	-0.131344	-0.9004	0.186236
4	-0.014504	-0.0994	0.460607
5	-0.025749	-0.1765	0.430319
6	0.236112	1.6187	0.056102
7	0.022916	0.1571	0.437919
8	-0.03548	-0.2432	0.404439
9	-0.1185	-0.8124	0.210331
10	-0.085554	-0.5865	0.280163
11	0.112272	0.7697	0.222666
12	-0.041368	-0.2836	0.38898
13	0.316664	2.1709	0.01751
14	-0.285897	-1.96	0.027969
15	0.140609	0.964	0.169998
16	-0.112561	-0.7717	0.222084
17	-0.082387	-0.5648	0.287442
18	0.109242	0.7489	0.228816
19	-0.065442	-0.4486	0.327874
20	-0.05892	-0.4039	0.344047
21	-0.106993	-0.7335	0.233447
22	0.101664	0.697	0.244626
23	0.046051	0.3157	0.376811
24	-0.195315	-1.339	0.093503
25	0.060798	0.4168	0.339358
26	-0.169959	-1.1652	0.124913
27	0.016472	0.1129	0.455284
28	-0.131073	-0.8986	0.186726
29	0.091207	0.6253	0.267406
30	-0.029503	-0.2023	0.420292
31	-0.095455	-0.6544	0.258019
32	0.006	0.0411	0.483682
33	-0.049891	-0.342	0.366926
34	-0.071108	-0.4875	0.314089
35	-0.016832	-0.1154	0.454312
36	-0.000554	-0.0038	0.498494

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.609585 & 4.1791 & 6.3e-05 \tabularnewline
2 & 0.20502 & 1.4055 & 0.083218 \tabularnewline
3 & -0.131344 & -0.9004 & 0.186236 \tabularnewline
4 & -0.014504 & -0.0994 & 0.460607 \tabularnewline
5 & -0.025749 & -0.1765 & 0.430319 \tabularnewline
6 & 0.236112 & 1.6187 & 0.056102 \tabularnewline
7 & 0.022916 & 0.1571 & 0.437919 \tabularnewline
8 & -0.03548 & -0.2432 & 0.404439 \tabularnewline
9 & -0.1185 & -0.8124 & 0.210331 \tabularnewline
10 & -0.085554 & -0.5865 & 0.280163 \tabularnewline
11 & 0.112272 & 0.7697 & 0.222666 \tabularnewline
12 & -0.041368 & -0.2836 & 0.38898 \tabularnewline
13 & 0.316664 & 2.1709 & 0.01751 \tabularnewline
14 & -0.285897 & -1.96 & 0.027969 \tabularnewline
15 & 0.140609 & 0.964 & 0.169998 \tabularnewline
16 & -0.112561 & -0.7717 & 0.222084 \tabularnewline
17 & -0.082387 & -0.5648 & 0.287442 \tabularnewline
18 & 0.109242 & 0.7489 & 0.228816 \tabularnewline
19 & -0.065442 & -0.4486 & 0.327874 \tabularnewline
20 & -0.05892 & -0.4039 & 0.344047 \tabularnewline
21 & -0.106993 & -0.7335 & 0.233447 \tabularnewline
22 & 0.101664 & 0.697 & 0.244626 \tabularnewline
23 & 0.046051 & 0.3157 & 0.376811 \tabularnewline
24 & -0.195315 & -1.339 & 0.093503 \tabularnewline
25 & 0.060798 & 0.4168 & 0.339358 \tabularnewline
26 & -0.169959 & -1.1652 & 0.124913 \tabularnewline
27 & 0.016472 & 0.1129 & 0.455284 \tabularnewline
28 & -0.131073 & -0.8986 & 0.186726 \tabularnewline
29 & 0.091207 & 0.6253 & 0.267406 \tabularnewline
30 & -0.029503 & -0.2023 & 0.420292 \tabularnewline
31 & -0.095455 & -0.6544 & 0.258019 \tabularnewline
32 & 0.006 & 0.0411 & 0.483682 \tabularnewline
33 & -0.049891 & -0.342 & 0.366926 \tabularnewline
34 & -0.071108 & -0.4875 & 0.314089 \tabularnewline
35 & -0.016832 & -0.1154 & 0.454312 \tabularnewline
36 & -0.000554 & -0.0038 & 0.498494 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67396&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]0.609585[/C][C]4.1791[/C][C]6.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.20502[/C][C]1.4055[/C][C]0.083218[/C][/ROW]
[ROW][C]3[/C][C]-0.131344[/C][C]-0.9004[/C][C]0.186236[/C][/ROW]
[ROW][C]4[/C][C]-0.014504[/C][C]-0.0994[/C][C]0.460607[/C][/ROW]
[ROW][C]5[/C][C]-0.025749[/C][C]-0.1765[/C][C]0.430319[/C][/ROW]
[ROW][C]6[/C][C]0.236112[/C][C]1.6187[/C][C]0.056102[/C][/ROW]
[ROW][C]7[/C][C]0.022916[/C][C]0.1571[/C][C]0.437919[/C][/ROW]
[ROW][C]8[/C][C]-0.03548[/C][C]-0.2432[/C][C]0.404439[/C][/ROW]
[ROW][C]9[/C][C]-0.1185[/C][C]-0.8124[/C][C]0.210331[/C][/ROW]
[ROW][C]10[/C][C]-0.085554[/C][C]-0.5865[/C][C]0.280163[/C][/ROW]
[ROW][C]11[/C][C]0.112272[/C][C]0.7697[/C][C]0.222666[/C][/ROW]
[ROW][C]12[/C][C]-0.041368[/C][C]-0.2836[/C][C]0.38898[/C][/ROW]
[ROW][C]13[/C][C]0.316664[/C][C]2.1709[/C][C]0.01751[/C][/ROW]
[ROW][C]14[/C][C]-0.285897[/C][C]-1.96[/C][C]0.027969[/C][/ROW]
[ROW][C]15[/C][C]0.140609[/C][C]0.964[/C][C]0.169998[/C][/ROW]
[ROW][C]16[/C][C]-0.112561[/C][C]-0.7717[/C][C]0.222084[/C][/ROW]
[ROW][C]17[/C][C]-0.082387[/C][C]-0.5648[/C][C]0.287442[/C][/ROW]
[ROW][C]18[/C][C]0.109242[/C][C]0.7489[/C][C]0.228816[/C][/ROW]
[ROW][C]19[/C][C]-0.065442[/C][C]-0.4486[/C][C]0.327874[/C][/ROW]
[ROW][C]20[/C][C]-0.05892[/C][C]-0.4039[/C][C]0.344047[/C][/ROW]
[ROW][C]21[/C][C]-0.106993[/C][C]-0.7335[/C][C]0.233447[/C][/ROW]
[ROW][C]22[/C][C]0.101664[/C][C]0.697[/C][C]0.244626[/C][/ROW]
[ROW][C]23[/C][C]0.046051[/C][C]0.3157[/C][C]0.376811[/C][/ROW]
[ROW][C]24[/C][C]-0.195315[/C][C]-1.339[/C][C]0.093503[/C][/ROW]
[ROW][C]25[/C][C]0.060798[/C][C]0.4168[/C][C]0.339358[/C][/ROW]
[ROW][C]26[/C][C]-0.169959[/C][C]-1.1652[/C][C]0.124913[/C][/ROW]
[ROW][C]27[/C][C]0.016472[/C][C]0.1129[/C][C]0.455284[/C][/ROW]
[ROW][C]28[/C][C]-0.131073[/C][C]-0.8986[/C][C]0.186726[/C][/ROW]
[ROW][C]29[/C][C]0.091207[/C][C]0.6253[/C][C]0.267406[/C][/ROW]
[ROW][C]30[/C][C]-0.029503[/C][C]-0.2023[/C][C]0.420292[/C][/ROW]
[ROW][C]31[/C][C]-0.095455[/C][C]-0.6544[/C][C]0.258019[/C][/ROW]
[ROW][C]32[/C][C]0.006[/C][C]0.0411[/C][C]0.483682[/C][/ROW]
[ROW][C]33[/C][C]-0.049891[/C][C]-0.342[/C][C]0.366926[/C][/ROW]
[ROW][C]34[/C][C]-0.071108[/C][C]-0.4875[/C][C]0.314089[/C][/ROW]
[ROW][C]35[/C][C]-0.016832[/C][C]-0.1154[/C][C]0.454312[/C][/ROW]
[ROW][C]36[/C][C]-0.000554[/C][C]-0.0038[/C][C]0.498494[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67396&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67396&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	0.609585	4.1791	6.3e-05
2	0.20502	1.4055	0.083218
3	-0.131344	-0.9004	0.186236
4	-0.014504	-0.0994	0.460607
5	-0.025749	-0.1765	0.430319
6	0.236112	1.6187	0.056102
7	0.022916	0.1571	0.437919
8	-0.03548	-0.2432	0.404439
9	-0.1185	-0.8124	0.210331
10	-0.085554	-0.5865	0.280163
11	0.112272	0.7697	0.222666
12	-0.041368	-0.2836	0.38898
13	0.316664	2.1709	0.01751
14	-0.285897	-1.96	0.027969
15	0.140609	0.964	0.169998
16	-0.112561	-0.7717	0.222084
17	-0.082387	-0.5648	0.287442
18	0.109242	0.7489	0.228816
19	-0.065442	-0.4486	0.327874
20	-0.05892	-0.4039	0.344047
21	-0.106993	-0.7335	0.233447
22	0.101664	0.697	0.244626
23	0.046051	0.3157	0.376811
24	-0.195315	-1.339	0.093503
25	0.060798	0.4168	0.339358
26	-0.169959	-1.1652	0.124913
27	0.016472	0.1129	0.455284
28	-0.131073	-0.8986	0.186726
29	0.091207	0.6253	0.267406
30	-0.029503	-0.2023	0.420292
31	-0.095455	-0.6544	0.258019
32	0.006	0.0411	0.483682
33	-0.049891	-0.342	0.366926
34	-0.071108	-0.4875	0.314089
35	-0.016832	-0.1154	0.454312
36	-0.000554	-0.0038	0.498494

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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]*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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code