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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Fri, 03 Dec 2010 09:59:56 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/03/t1291370281su4km65h9697ukx.htm/, Retrieved Tue, 07 May 2024 05:46:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104591, Retrieved Tue, 07 May 2024 05:46:50 +0000

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User-defined keywords

Estimated Impact

148

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       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [(Partial) Autocorrelation Function] [Births] [2010-11-29 09:36:27] [b98453cac15ba1066b407e146608df68]
-   PD            [(Partial) Autocorrelation Function] [Workshop 9 - Auto...] [2010-12-03 09:59:56] [708f372e2a7a3c78ea31b4de2d1213f8] [Current]
-    D              [(Partial) Autocorrelation Function] [Workshop 9 - Auto...] [2010-12-03 10:22:20] [6f0e7a2d1a07390e3505a2db8288f975] 
-   P                 [(Partial) Autocorrelation Function] [Verbetering WS9 A...] [2010-12-09 20:28:49] [8ef49741e164ec6343c90c7935194465] 

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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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104591&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104591&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104591&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.297897	2.9188	0.002189
2	0.481692	4.7196	4e-06
3	0.397353	3.8932	9.1e-05
4	0.176272	1.7271	0.043682
5	0.289332	2.8349	0.002795
6	0.139249	1.3644	0.087823
7	0.226553	2.2198	0.014395
8	0.128357	1.2576	0.105787
9	0.352086	3.4497	0.000418
10	0.314914	3.0855	0.001327
11	0.230382	2.2573	0.013129
12	0.676174	6.6251	0
13	0.176392	1.7283	0.043576
14	0.374695	3.6712	0.000198
15	0.254251	2.4911	0.007225
16	0.061614	0.6037	0.273738
17	0.169198	1.6578	0.050311
18	0.02778	0.2722	0.39303
19	0.065024	0.6371	0.262786
20	0.005031	0.0493	0.480392
21	0.147077	1.4411	0.076412
22	0.089441	0.8763	0.191516
23	0.107054	1.0489	0.148426
24	0.371962	3.6445	0.000217
25	0.020357	0.1995	0.421163
26	0.170646	1.672	0.048892
27	0.063846	0.6256	0.266543
28	-0.088837	-0.8704	0.193121
29	-0.018443	-0.1807	0.42849
30	-0.134141	-1.3143	0.095937
31	-0.110973	-1.0873	0.139812
32	-0.073051	-0.7157	0.237943
33	-0.042734	-0.4187	0.338184
34	-0.059211	-0.5801	0.281588
35	-0.054059	-0.5297	0.298781
36	0.136129	1.3338	0.092715
37	-0.073625	-0.7214	0.236215
38	-0.002924	-0.0286	0.488603
39	-0.099076	-0.9707	0.167059
40	-0.219231	-2.148	0.017115
41	-0.144364	-1.4145	0.08023
42	-0.259156	-2.5392	0.006359
43	-0.205488	-2.0134	0.023438
44	-0.196582	-1.9261	0.028525
45	-0.195553	-1.916	0.029169
46	-0.118094	-1.1571	0.125055
47	-0.189096	-1.8528	0.033495
48	0.019409	0.1902	0.424789

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.297897 & 2.9188 & 0.002189 \tabularnewline
2 & 0.481692 & 4.7196 & 4e-06 \tabularnewline
3 & 0.397353 & 3.8932 & 9.1e-05 \tabularnewline
4 & 0.176272 & 1.7271 & 0.043682 \tabularnewline
5 & 0.289332 & 2.8349 & 0.002795 \tabularnewline
6 & 0.139249 & 1.3644 & 0.087823 \tabularnewline
7 & 0.226553 & 2.2198 & 0.014395 \tabularnewline
8 & 0.128357 & 1.2576 & 0.105787 \tabularnewline
9 & 0.352086 & 3.4497 & 0.000418 \tabularnewline
10 & 0.314914 & 3.0855 & 0.001327 \tabularnewline
11 & 0.230382 & 2.2573 & 0.013129 \tabularnewline
12 & 0.676174 & 6.6251 & 0 \tabularnewline
13 & 0.176392 & 1.7283 & 0.043576 \tabularnewline
14 & 0.374695 & 3.6712 & 0.000198 \tabularnewline
15 & 0.254251 & 2.4911 & 0.007225 \tabularnewline
16 & 0.061614 & 0.6037 & 0.273738 \tabularnewline
17 & 0.169198 & 1.6578 & 0.050311 \tabularnewline
18 & 0.02778 & 0.2722 & 0.39303 \tabularnewline
19 & 0.065024 & 0.6371 & 0.262786 \tabularnewline
20 & 0.005031 & 0.0493 & 0.480392 \tabularnewline
21 & 0.147077 & 1.4411 & 0.076412 \tabularnewline
22 & 0.089441 & 0.8763 & 0.191516 \tabularnewline
23 & 0.107054 & 1.0489 & 0.148426 \tabularnewline
24 & 0.371962 & 3.6445 & 0.000217 \tabularnewline
25 & 0.020357 & 0.1995 & 0.421163 \tabularnewline
26 & 0.170646 & 1.672 & 0.048892 \tabularnewline
27 & 0.063846 & 0.6256 & 0.266543 \tabularnewline
28 & -0.088837 & -0.8704 & 0.193121 \tabularnewline
29 & -0.018443 & -0.1807 & 0.42849 \tabularnewline
30 & -0.134141 & -1.3143 & 0.095937 \tabularnewline
31 & -0.110973 & -1.0873 & 0.139812 \tabularnewline
32 & -0.073051 & -0.7157 & 0.237943 \tabularnewline
33 & -0.042734 & -0.4187 & 0.338184 \tabularnewline
34 & -0.059211 & -0.5801 & 0.281588 \tabularnewline
35 & -0.054059 & -0.5297 & 0.298781 \tabularnewline
36 & 0.136129 & 1.3338 & 0.092715 \tabularnewline
37 & -0.073625 & -0.7214 & 0.236215 \tabularnewline
38 & -0.002924 & -0.0286 & 0.488603 \tabularnewline
39 & -0.099076 & -0.9707 & 0.167059 \tabularnewline
40 & -0.219231 & -2.148 & 0.017115 \tabularnewline
41 & -0.144364 & -1.4145 & 0.08023 \tabularnewline
42 & -0.259156 & -2.5392 & 0.006359 \tabularnewline
43 & -0.205488 & -2.0134 & 0.023438 \tabularnewline
44 & -0.196582 & -1.9261 & 0.028525 \tabularnewline
45 & -0.195553 & -1.916 & 0.029169 \tabularnewline
46 & -0.118094 & -1.1571 & 0.125055 \tabularnewline
47 & -0.189096 & -1.8528 & 0.033495 \tabularnewline
48 & 0.019409 & 0.1902 & 0.424789 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104591&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]0.297897[/C][C]2.9188[/C][C]0.002189[/C][/ROW]
[ROW][C]2[/C][C]0.481692[/C][C]4.7196[/C][C]4e-06[/C][/ROW]
[ROW][C]3[/C][C]0.397353[/C][C]3.8932[/C][C]9.1e-05[/C][/ROW]
[ROW][C]4[/C][C]0.176272[/C][C]1.7271[/C][C]0.043682[/C][/ROW]
[ROW][C]5[/C][C]0.289332[/C][C]2.8349[/C][C]0.002795[/C][/ROW]
[ROW][C]6[/C][C]0.139249[/C][C]1.3644[/C][C]0.087823[/C][/ROW]
[ROW][C]7[/C][C]0.226553[/C][C]2.2198[/C][C]0.014395[/C][/ROW]
[ROW][C]8[/C][C]0.128357[/C][C]1.2576[/C][C]0.105787[/C][/ROW]
[ROW][C]9[/C][C]0.352086[/C][C]3.4497[/C][C]0.000418[/C][/ROW]
[ROW][C]10[/C][C]0.314914[/C][C]3.0855[/C][C]0.001327[/C][/ROW]
[ROW][C]11[/C][C]0.230382[/C][C]2.2573[/C][C]0.013129[/C][/ROW]
[ROW][C]12[/C][C]0.676174[/C][C]6.6251[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.176392[/C][C]1.7283[/C][C]0.043576[/C][/ROW]
[ROW][C]14[/C][C]0.374695[/C][C]3.6712[/C][C]0.000198[/C][/ROW]
[ROW][C]15[/C][C]0.254251[/C][C]2.4911[/C][C]0.007225[/C][/ROW]
[ROW][C]16[/C][C]0.061614[/C][C]0.6037[/C][C]0.273738[/C][/ROW]
[ROW][C]17[/C][C]0.169198[/C][C]1.6578[/C][C]0.050311[/C][/ROW]
[ROW][C]18[/C][C]0.02778[/C][C]0.2722[/C][C]0.39303[/C][/ROW]
[ROW][C]19[/C][C]0.065024[/C][C]0.6371[/C][C]0.262786[/C][/ROW]
[ROW][C]20[/C][C]0.005031[/C][C]0.0493[/C][C]0.480392[/C][/ROW]
[ROW][C]21[/C][C]0.147077[/C][C]1.4411[/C][C]0.076412[/C][/ROW]
[ROW][C]22[/C][C]0.089441[/C][C]0.8763[/C][C]0.191516[/C][/ROW]
[ROW][C]23[/C][C]0.107054[/C][C]1.0489[/C][C]0.148426[/C][/ROW]
[ROW][C]24[/C][C]0.371962[/C][C]3.6445[/C][C]0.000217[/C][/ROW]
[ROW][C]25[/C][C]0.020357[/C][C]0.1995[/C][C]0.421163[/C][/ROW]
[ROW][C]26[/C][C]0.170646[/C][C]1.672[/C][C]0.048892[/C][/ROW]
[ROW][C]27[/C][C]0.063846[/C][C]0.6256[/C][C]0.266543[/C][/ROW]
[ROW][C]28[/C][C]-0.088837[/C][C]-0.8704[/C][C]0.193121[/C][/ROW]
[ROW][C]29[/C][C]-0.018443[/C][C]-0.1807[/C][C]0.42849[/C][/ROW]
[ROW][C]30[/C][C]-0.134141[/C][C]-1.3143[/C][C]0.095937[/C][/ROW]
[ROW][C]31[/C][C]-0.110973[/C][C]-1.0873[/C][C]0.139812[/C][/ROW]
[ROW][C]32[/C][C]-0.073051[/C][C]-0.7157[/C][C]0.237943[/C][/ROW]
[ROW][C]33[/C][C]-0.042734[/C][C]-0.4187[/C][C]0.338184[/C][/ROW]
[ROW][C]34[/C][C]-0.059211[/C][C]-0.5801[/C][C]0.281588[/C][/ROW]
[ROW][C]35[/C][C]-0.054059[/C][C]-0.5297[/C][C]0.298781[/C][/ROW]
[ROW][C]36[/C][C]0.136129[/C][C]1.3338[/C][C]0.092715[/C][/ROW]
[ROW][C]37[/C][C]-0.073625[/C][C]-0.7214[/C][C]0.236215[/C][/ROW]
[ROW][C]38[/C][C]-0.002924[/C][C]-0.0286[/C][C]0.488603[/C][/ROW]
[ROW][C]39[/C][C]-0.099076[/C][C]-0.9707[/C][C]0.167059[/C][/ROW]
[ROW][C]40[/C][C]-0.219231[/C][C]-2.148[/C][C]0.017115[/C][/ROW]
[ROW][C]41[/C][C]-0.144364[/C][C]-1.4145[/C][C]0.08023[/C][/ROW]
[ROW][C]42[/C][C]-0.259156[/C][C]-2.5392[/C][C]0.006359[/C][/ROW]
[ROW][C]43[/C][C]-0.205488[/C][C]-2.0134[/C][C]0.023438[/C][/ROW]
[ROW][C]44[/C][C]-0.196582[/C][C]-1.9261[/C][C]0.028525[/C][/ROW]
[ROW][C]45[/C][C]-0.195553[/C][C]-1.916[/C][C]0.029169[/C][/ROW]
[ROW][C]46[/C][C]-0.118094[/C][C]-1.1571[/C][C]0.125055[/C][/ROW]
[ROW][C]47[/C][C]-0.189096[/C][C]-1.8528[/C][C]0.033495[/C][/ROW]
[ROW][C]48[/C][C]0.019409[/C][C]0.1902[/C][C]0.424789[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104591&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104591&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	0.297897	2.9188	0.002189
2	0.481692	4.7196	4e-06
3	0.397353	3.8932	9.1e-05
4	0.176272	1.7271	0.043682
5	0.289332	2.8349	0.002795
6	0.139249	1.3644	0.087823
7	0.226553	2.2198	0.014395
8	0.128357	1.2576	0.105787
9	0.352086	3.4497	0.000418
10	0.314914	3.0855	0.001327
11	0.230382	2.2573	0.013129
12	0.676174	6.6251	0
13	0.176392	1.7283	0.043576
14	0.374695	3.6712	0.000198
15	0.254251	2.4911	0.007225
16	0.061614	0.6037	0.273738
17	0.169198	1.6578	0.050311
18	0.02778	0.2722	0.39303
19	0.065024	0.6371	0.262786
20	0.005031	0.0493	0.480392
21	0.147077	1.4411	0.076412
22	0.089441	0.8763	0.191516
23	0.107054	1.0489	0.148426
24	0.371962	3.6445	0.000217
25	0.020357	0.1995	0.421163
26	0.170646	1.672	0.048892
27	0.063846	0.6256	0.266543
28	-0.088837	-0.8704	0.193121
29	-0.018443	-0.1807	0.42849
30	-0.134141	-1.3143	0.095937
31	-0.110973	-1.0873	0.139812
32	-0.073051	-0.7157	0.237943
33	-0.042734	-0.4187	0.338184
34	-0.059211	-0.5801	0.281588
35	-0.054059	-0.5297	0.298781
36	0.136129	1.3338	0.092715
37	-0.073625	-0.7214	0.236215
38	-0.002924	-0.0286	0.488603
39	-0.099076	-0.9707	0.167059
40	-0.219231	-2.148	0.017115
41	-0.144364	-1.4145	0.08023
42	-0.259156	-2.5392	0.006359
43	-0.205488	-2.0134	0.023438
44	-0.196582	-1.9261	0.028525
45	-0.195553	-1.916	0.029169
46	-0.118094	-1.1571	0.125055
47	-0.189096	-1.8528	0.033495
48	0.019409	0.1902	0.424789

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.297897	2.9188	0.002189
2	0.431217	4.225	2.7e-05
3	0.25246	2.4736	0.007566
4	-0.158542	-1.5534	0.06181
5	0.020347	0.1994	0.421202
6	0.002396	0.0235	0.490659
7	0.136959	1.3419	0.091394
8	-0.030663	-0.3004	0.382249
9	0.309389	3.0314	0.001565
10	0.217807	2.1341	0.017693
11	-0.086196	-0.8445	0.200233
12	0.51162	5.0128	1e-06
13	-0.171661	-1.6819	0.047917
14	-0.200985	-1.9692	0.025904
15	-0.097464	-0.9549	0.171002
16	-0.100373	-0.9835	0.163929
17	-0.078669	-0.7708	0.22136
18	-0.014127	-0.1384	0.4451
19	-0.059065	-0.5787	0.282069
20	-0.022375	-0.2192	0.413467
21	-0.114616	-1.123	0.132118
22	-0.055252	-0.5414	0.294759
23	0.071993	0.7054	0.241139
24	0.027637	0.2708	0.393567
25	-0.043209	-0.4234	0.336489
26	-0.135281	-1.3255	0.094079
27	-0.040064	-0.3925	0.347762
28	-0.01128	-0.1105	0.456115
29	-0.092112	-0.9025	0.184522
30	-0.017651	-0.1729	0.431531
31	0.054053	0.5296	0.298802
32	0.150357	1.4732	0.071986
33	-0.075878	-0.7434	0.229514
34	-0.034682	-0.3398	0.367369
35	-0.089545	-0.8774	0.191241
36	0.014911	0.1461	0.442077
37	0.068013	0.6664	0.253381
38	-0.037926	-0.3716	0.355507
39	-0.099872	-0.9785	0.165133
40	-0.042723	-0.4186	0.338223
41	-0.024709	-0.2421	0.404609
42	-0.042254	-0.414	0.339897
43	0.090059	0.8824	0.189885
44	-0.063995	-0.627	0.266066
45	-0.097495	-0.9553	0.170924
46	0.079676	0.7807	0.21846
47	-0.067242	-0.6588	0.255791
48	0.056866	0.5572	0.289354

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.297897 & 2.9188 & 0.002189 \tabularnewline
2 & 0.431217 & 4.225 & 2.7e-05 \tabularnewline
3 & 0.25246 & 2.4736 & 0.007566 \tabularnewline
4 & -0.158542 & -1.5534 & 0.06181 \tabularnewline
5 & 0.020347 & 0.1994 & 0.421202 \tabularnewline
6 & 0.002396 & 0.0235 & 0.490659 \tabularnewline
7 & 0.136959 & 1.3419 & 0.091394 \tabularnewline
8 & -0.030663 & -0.3004 & 0.382249 \tabularnewline
9 & 0.309389 & 3.0314 & 0.001565 \tabularnewline
10 & 0.217807 & 2.1341 & 0.017693 \tabularnewline
11 & -0.086196 & -0.8445 & 0.200233 \tabularnewline
12 & 0.51162 & 5.0128 & 1e-06 \tabularnewline
13 & -0.171661 & -1.6819 & 0.047917 \tabularnewline
14 & -0.200985 & -1.9692 & 0.025904 \tabularnewline
15 & -0.097464 & -0.9549 & 0.171002 \tabularnewline
16 & -0.100373 & -0.9835 & 0.163929 \tabularnewline
17 & -0.078669 & -0.7708 & 0.22136 \tabularnewline
18 & -0.014127 & -0.1384 & 0.4451 \tabularnewline
19 & -0.059065 & -0.5787 & 0.282069 \tabularnewline
20 & -0.022375 & -0.2192 & 0.413467 \tabularnewline
21 & -0.114616 & -1.123 & 0.132118 \tabularnewline
22 & -0.055252 & -0.5414 & 0.294759 \tabularnewline
23 & 0.071993 & 0.7054 & 0.241139 \tabularnewline
24 & 0.027637 & 0.2708 & 0.393567 \tabularnewline
25 & -0.043209 & -0.4234 & 0.336489 \tabularnewline
26 & -0.135281 & -1.3255 & 0.094079 \tabularnewline
27 & -0.040064 & -0.3925 & 0.347762 \tabularnewline
28 & -0.01128 & -0.1105 & 0.456115 \tabularnewline
29 & -0.092112 & -0.9025 & 0.184522 \tabularnewline
30 & -0.017651 & -0.1729 & 0.431531 \tabularnewline
31 & 0.054053 & 0.5296 & 0.298802 \tabularnewline
32 & 0.150357 & 1.4732 & 0.071986 \tabularnewline
33 & -0.075878 & -0.7434 & 0.229514 \tabularnewline
34 & -0.034682 & -0.3398 & 0.367369 \tabularnewline
35 & -0.089545 & -0.8774 & 0.191241 \tabularnewline
36 & 0.014911 & 0.1461 & 0.442077 \tabularnewline
37 & 0.068013 & 0.6664 & 0.253381 \tabularnewline
38 & -0.037926 & -0.3716 & 0.355507 \tabularnewline
39 & -0.099872 & -0.9785 & 0.165133 \tabularnewline
40 & -0.042723 & -0.4186 & 0.338223 \tabularnewline
41 & -0.024709 & -0.2421 & 0.404609 \tabularnewline
42 & -0.042254 & -0.414 & 0.339897 \tabularnewline
43 & 0.090059 & 0.8824 & 0.189885 \tabularnewline
44 & -0.063995 & -0.627 & 0.266066 \tabularnewline
45 & -0.097495 & -0.9553 & 0.170924 \tabularnewline
46 & 0.079676 & 0.7807 & 0.21846 \tabularnewline
47 & -0.067242 & -0.6588 & 0.255791 \tabularnewline
48 & 0.056866 & 0.5572 & 0.289354 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104591&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]0.297897[/C][C]2.9188[/C][C]0.002189[/C][/ROW]
[ROW][C]2[/C][C]0.431217[/C][C]4.225[/C][C]2.7e-05[/C][/ROW]
[ROW][C]3[/C][C]0.25246[/C][C]2.4736[/C][C]0.007566[/C][/ROW]
[ROW][C]4[/C][C]-0.158542[/C][C]-1.5534[/C][C]0.06181[/C][/ROW]
[ROW][C]5[/C][C]0.020347[/C][C]0.1994[/C][C]0.421202[/C][/ROW]
[ROW][C]6[/C][C]0.002396[/C][C]0.0235[/C][C]0.490659[/C][/ROW]
[ROW][C]7[/C][C]0.136959[/C][C]1.3419[/C][C]0.091394[/C][/ROW]
[ROW][C]8[/C][C]-0.030663[/C][C]-0.3004[/C][C]0.382249[/C][/ROW]
[ROW][C]9[/C][C]0.309389[/C][C]3.0314[/C][C]0.001565[/C][/ROW]
[ROW][C]10[/C][C]0.217807[/C][C]2.1341[/C][C]0.017693[/C][/ROW]
[ROW][C]11[/C][C]-0.086196[/C][C]-0.8445[/C][C]0.200233[/C][/ROW]
[ROW][C]12[/C][C]0.51162[/C][C]5.0128[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.171661[/C][C]-1.6819[/C][C]0.047917[/C][/ROW]
[ROW][C]14[/C][C]-0.200985[/C][C]-1.9692[/C][C]0.025904[/C][/ROW]
[ROW][C]15[/C][C]-0.097464[/C][C]-0.9549[/C][C]0.171002[/C][/ROW]
[ROW][C]16[/C][C]-0.100373[/C][C]-0.9835[/C][C]0.163929[/C][/ROW]
[ROW][C]17[/C][C]-0.078669[/C][C]-0.7708[/C][C]0.22136[/C][/ROW]
[ROW][C]18[/C][C]-0.014127[/C][C]-0.1384[/C][C]0.4451[/C][/ROW]
[ROW][C]19[/C][C]-0.059065[/C][C]-0.5787[/C][C]0.282069[/C][/ROW]
[ROW][C]20[/C][C]-0.022375[/C][C]-0.2192[/C][C]0.413467[/C][/ROW]
[ROW][C]21[/C][C]-0.114616[/C][C]-1.123[/C][C]0.132118[/C][/ROW]
[ROW][C]22[/C][C]-0.055252[/C][C]-0.5414[/C][C]0.294759[/C][/ROW]
[ROW][C]23[/C][C]0.071993[/C][C]0.7054[/C][C]0.241139[/C][/ROW]
[ROW][C]24[/C][C]0.027637[/C][C]0.2708[/C][C]0.393567[/C][/ROW]
[ROW][C]25[/C][C]-0.043209[/C][C]-0.4234[/C][C]0.336489[/C][/ROW]
[ROW][C]26[/C][C]-0.135281[/C][C]-1.3255[/C][C]0.094079[/C][/ROW]
[ROW][C]27[/C][C]-0.040064[/C][C]-0.3925[/C][C]0.347762[/C][/ROW]
[ROW][C]28[/C][C]-0.01128[/C][C]-0.1105[/C][C]0.456115[/C][/ROW]
[ROW][C]29[/C][C]-0.092112[/C][C]-0.9025[/C][C]0.184522[/C][/ROW]
[ROW][C]30[/C][C]-0.017651[/C][C]-0.1729[/C][C]0.431531[/C][/ROW]
[ROW][C]31[/C][C]0.054053[/C][C]0.5296[/C][C]0.298802[/C][/ROW]
[ROW][C]32[/C][C]0.150357[/C][C]1.4732[/C][C]0.071986[/C][/ROW]
[ROW][C]33[/C][C]-0.075878[/C][C]-0.7434[/C][C]0.229514[/C][/ROW]
[ROW][C]34[/C][C]-0.034682[/C][C]-0.3398[/C][C]0.367369[/C][/ROW]
[ROW][C]35[/C][C]-0.089545[/C][C]-0.8774[/C][C]0.191241[/C][/ROW]
[ROW][C]36[/C][C]0.014911[/C][C]0.1461[/C][C]0.442077[/C][/ROW]
[ROW][C]37[/C][C]0.068013[/C][C]0.6664[/C][C]0.253381[/C][/ROW]
[ROW][C]38[/C][C]-0.037926[/C][C]-0.3716[/C][C]0.355507[/C][/ROW]
[ROW][C]39[/C][C]-0.099872[/C][C]-0.9785[/C][C]0.165133[/C][/ROW]
[ROW][C]40[/C][C]-0.042723[/C][C]-0.4186[/C][C]0.338223[/C][/ROW]
[ROW][C]41[/C][C]-0.024709[/C][C]-0.2421[/C][C]0.404609[/C][/ROW]
[ROW][C]42[/C][C]-0.042254[/C][C]-0.414[/C][C]0.339897[/C][/ROW]
[ROW][C]43[/C][C]0.090059[/C][C]0.8824[/C][C]0.189885[/C][/ROW]
[ROW][C]44[/C][C]-0.063995[/C][C]-0.627[/C][C]0.266066[/C][/ROW]
[ROW][C]45[/C][C]-0.097495[/C][C]-0.9553[/C][C]0.170924[/C][/ROW]
[ROW][C]46[/C][C]0.079676[/C][C]0.7807[/C][C]0.21846[/C][/ROW]
[ROW][C]47[/C][C]-0.067242[/C][C]-0.6588[/C][C]0.255791[/C][/ROW]
[ROW][C]48[/C][C]0.056866[/C][C]0.5572[/C][C]0.289354[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104591&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104591&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	0.297897	2.9188	0.002189
2	0.431217	4.225	2.7e-05
3	0.25246	2.4736	0.007566
4	-0.158542	-1.5534	0.06181
5	0.020347	0.1994	0.421202
6	0.002396	0.0235	0.490659
7	0.136959	1.3419	0.091394
8	-0.030663	-0.3004	0.382249
9	0.309389	3.0314	0.001565
10	0.217807	2.1341	0.017693
11	-0.086196	-0.8445	0.200233
12	0.51162	5.0128	1e-06
13	-0.171661	-1.6819	0.047917
14	-0.200985	-1.9692	0.025904
15	-0.097464	-0.9549	0.171002
16	-0.100373	-0.9835	0.163929
17	-0.078669	-0.7708	0.22136
18	-0.014127	-0.1384	0.4451
19	-0.059065	-0.5787	0.282069
20	-0.022375	-0.2192	0.413467
21	-0.114616	-1.123	0.132118
22	-0.055252	-0.5414	0.294759
23	0.071993	0.7054	0.241139
24	0.027637	0.2708	0.393567
25	-0.043209	-0.4234	0.336489
26	-0.135281	-1.3255	0.094079
27	-0.040064	-0.3925	0.347762
28	-0.01128	-0.1105	0.456115
29	-0.092112	-0.9025	0.184522
30	-0.017651	-0.1729	0.431531
31	0.054053	0.5296	0.298802
32	0.150357	1.4732	0.071986
33	-0.075878	-0.7434	0.229514
34	-0.034682	-0.3398	0.367369
35	-0.089545	-0.8774	0.191241
36	0.014911	0.1461	0.442077
37	0.068013	0.6664	0.253381
38	-0.037926	-0.3716	0.355507
39	-0.099872	-0.9785	0.165133
40	-0.042723	-0.4186	0.338223
41	-0.024709	-0.2421	0.404609
42	-0.042254	-0.414	0.339897
43	0.090059	0.8824	0.189885
44	-0.063995	-0.627	0.266066
45	-0.097495	-0.9553	0.170924
46	0.079676	0.7807	0.21846
47	-0.067242	-0.6588	0.255791
48	0.056866	0.5572	0.289354

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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