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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Thu, 29 Dec 2016 15:14:41 +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/2016/Dec/29/t1483024548xyebn4vo2f7z3bb.htm/, Retrieved Thu, 02 May 2024 11:48:30 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 02 May 2024 11:48:30 +0200

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-0,4
0
0,2
-0,6
0,5
-0,3
-1,2
0
0,9
0,5
-0,5
0,1
-0,9
1,1
-0,6
-0,2
0,1
-0,2
3,5
-0,9
-1,3
-0,3
-0,4
1,3
-0,7
0,5
-0,6
0,8
-0,2
0,3
3,8
-1,1
-1,7
0,1
-0,9
1,9
-1,4
1,4
-0,2
0,6
0,5
0,6
3,4
-1,4
-1,6
-1,2
-1,7
1,9
-0,8
1
-0,9
1,1
-0,6
0,6
4,1
-1,1
-2
-1,3
-1,7
1,6
-1,2
1,2
-0,8
0,7
1,2
-0,2
4,4
-1,1
-2,2
-0,7
-1,7
1,6

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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.168886	-1.433	0.078087
2	-0.029983	-0.2544	0.399951
3	-0.147494	-1.2515	0.107397
4	-0.281231	-2.3863	0.009824
5	0.293249	2.4883	0.007575
6	-0.264665	-2.2458	0.013895
7	0.208834	1.772	0.040312
8	-0.197593	-1.6766	0.048976
9	-0.130985	-1.1114	0.135037
10	0.046446	0.3941	0.347334
11	-0.150431	-1.2765	0.102949
12	0.698909	5.9304	0
13	-0.109081	-0.9256	0.178877
14	-0.010798	-0.0916	0.463627
15	-0.132272	-1.1224	0.132718
16	-0.217203	-1.843	0.034721
17	0.225932	1.9171	0.029597
18	-0.211198	-1.7921	0.038661
19	0.166578	1.4135	0.080915
20	-0.138448	-1.1748	0.121979
21	-0.084299	-0.7153	0.238367
22	0.035737	0.3032	0.38129
23	-0.151026	-1.2815	0.102065
24	0.503707	4.2741	2.9e-05
25	-0.080177	-0.6803	0.249242
26	0.023362	0.1982	0.42171
27	-0.124451	-1.056	0.147248
28	-0.173513	-1.4723	0.072648
29	0.173912	1.4757	0.072194
30	-0.159547	-1.3538	0.090017
31	0.138394	1.1743	0.122069
32	-0.093626	-0.7944	0.214775
33	-0.017721	-0.1504	0.440448
34	0.018747	0.1591	0.437029
35	-0.125589	-1.0657	0.14507
36	0.316305	2.6839	0.004511
37	-0.065618	-0.5568	0.2897
38	-0.008226	-0.0698	0.472272
39	-0.063589	-0.5396	0.295579
40	-0.104398	-0.8859	0.189324
41	0.112576	0.9552	0.171326
42	-0.084768	-0.7193	0.237149
43	0.072219	0.6128	0.27097
44	-0.044964	-0.3815	0.351967
45	-0.004853	-0.0412	0.483633
46	0.057105	0.4846	0.314732
47	-0.072989	-0.6193	0.268826
48	0.121062	1.0272	0.153871

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.168886 & -1.433 & 0.078087 \tabularnewline
2 & -0.029983 & -0.2544 & 0.399951 \tabularnewline
3 & -0.147494 & -1.2515 & 0.107397 \tabularnewline
4 & -0.281231 & -2.3863 & 0.009824 \tabularnewline
5 & 0.293249 & 2.4883 & 0.007575 \tabularnewline
6 & -0.264665 & -2.2458 & 0.013895 \tabularnewline
7 & 0.208834 & 1.772 & 0.040312 \tabularnewline
8 & -0.197593 & -1.6766 & 0.048976 \tabularnewline
9 & -0.130985 & -1.1114 & 0.135037 \tabularnewline
10 & 0.046446 & 0.3941 & 0.347334 \tabularnewline
11 & -0.150431 & -1.2765 & 0.102949 \tabularnewline
12 & 0.698909 & 5.9304 & 0 \tabularnewline
13 & -0.109081 & -0.9256 & 0.178877 \tabularnewline
14 & -0.010798 & -0.0916 & 0.463627 \tabularnewline
15 & -0.132272 & -1.1224 & 0.132718 \tabularnewline
16 & -0.217203 & -1.843 & 0.034721 \tabularnewline
17 & 0.225932 & 1.9171 & 0.029597 \tabularnewline
18 & -0.211198 & -1.7921 & 0.038661 \tabularnewline
19 & 0.166578 & 1.4135 & 0.080915 \tabularnewline
20 & -0.138448 & -1.1748 & 0.121979 \tabularnewline
21 & -0.084299 & -0.7153 & 0.238367 \tabularnewline
22 & 0.035737 & 0.3032 & 0.38129 \tabularnewline
23 & -0.151026 & -1.2815 & 0.102065 \tabularnewline
24 & 0.503707 & 4.2741 & 2.9e-05 \tabularnewline
25 & -0.080177 & -0.6803 & 0.249242 \tabularnewline
26 & 0.023362 & 0.1982 & 0.42171 \tabularnewline
27 & -0.124451 & -1.056 & 0.147248 \tabularnewline
28 & -0.173513 & -1.4723 & 0.072648 \tabularnewline
29 & 0.173912 & 1.4757 & 0.072194 \tabularnewline
30 & -0.159547 & -1.3538 & 0.090017 \tabularnewline
31 & 0.138394 & 1.1743 & 0.122069 \tabularnewline
32 & -0.093626 & -0.7944 & 0.214775 \tabularnewline
33 & -0.017721 & -0.1504 & 0.440448 \tabularnewline
34 & 0.018747 & 0.1591 & 0.437029 \tabularnewline
35 & -0.125589 & -1.0657 & 0.14507 \tabularnewline
36 & 0.316305 & 2.6839 & 0.004511 \tabularnewline
37 & -0.065618 & -0.5568 & 0.2897 \tabularnewline
38 & -0.008226 & -0.0698 & 0.472272 \tabularnewline
39 & -0.063589 & -0.5396 & 0.295579 \tabularnewline
40 & -0.104398 & -0.8859 & 0.189324 \tabularnewline
41 & 0.112576 & 0.9552 & 0.171326 \tabularnewline
42 & -0.084768 & -0.7193 & 0.237149 \tabularnewline
43 & 0.072219 & 0.6128 & 0.27097 \tabularnewline
44 & -0.044964 & -0.3815 & 0.351967 \tabularnewline
45 & -0.004853 & -0.0412 & 0.483633 \tabularnewline
46 & 0.057105 & 0.4846 & 0.314732 \tabularnewline
47 & -0.072989 & -0.6193 & 0.268826 \tabularnewline
48 & 0.121062 & 1.0272 & 0.153871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]-0.168886[/C][C]-1.433[/C][C]0.078087[/C][/ROW]
[ROW][C]2[/C][C]-0.029983[/C][C]-0.2544[/C][C]0.399951[/C][/ROW]
[ROW][C]3[/C][C]-0.147494[/C][C]-1.2515[/C][C]0.107397[/C][/ROW]
[ROW][C]4[/C][C]-0.281231[/C][C]-2.3863[/C][C]0.009824[/C][/ROW]
[ROW][C]5[/C][C]0.293249[/C][C]2.4883[/C][C]0.007575[/C][/ROW]
[ROW][C]6[/C][C]-0.264665[/C][C]-2.2458[/C][C]0.013895[/C][/ROW]
[ROW][C]7[/C][C]0.208834[/C][C]1.772[/C][C]0.040312[/C][/ROW]
[ROW][C]8[/C][C]-0.197593[/C][C]-1.6766[/C][C]0.048976[/C][/ROW]
[ROW][C]9[/C][C]-0.130985[/C][C]-1.1114[/C][C]0.135037[/C][/ROW]
[ROW][C]10[/C][C]0.046446[/C][C]0.3941[/C][C]0.347334[/C][/ROW]
[ROW][C]11[/C][C]-0.150431[/C][C]-1.2765[/C][C]0.102949[/C][/ROW]
[ROW][C]12[/C][C]0.698909[/C][C]5.9304[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.109081[/C][C]-0.9256[/C][C]0.178877[/C][/ROW]
[ROW][C]14[/C][C]-0.010798[/C][C]-0.0916[/C][C]0.463627[/C][/ROW]
[ROW][C]15[/C][C]-0.132272[/C][C]-1.1224[/C][C]0.132718[/C][/ROW]
[ROW][C]16[/C][C]-0.217203[/C][C]-1.843[/C][C]0.034721[/C][/ROW]
[ROW][C]17[/C][C]0.225932[/C][C]1.9171[/C][C]0.029597[/C][/ROW]
[ROW][C]18[/C][C]-0.211198[/C][C]-1.7921[/C][C]0.038661[/C][/ROW]
[ROW][C]19[/C][C]0.166578[/C][C]1.4135[/C][C]0.080915[/C][/ROW]
[ROW][C]20[/C][C]-0.138448[/C][C]-1.1748[/C][C]0.121979[/C][/ROW]
[ROW][C]21[/C][C]-0.084299[/C][C]-0.7153[/C][C]0.238367[/C][/ROW]
[ROW][C]22[/C][C]0.035737[/C][C]0.3032[/C][C]0.38129[/C][/ROW]
[ROW][C]23[/C][C]-0.151026[/C][C]-1.2815[/C][C]0.102065[/C][/ROW]
[ROW][C]24[/C][C]0.503707[/C][C]4.2741[/C][C]2.9e-05[/C][/ROW]
[ROW][C]25[/C][C]-0.080177[/C][C]-0.6803[/C][C]0.249242[/C][/ROW]
[ROW][C]26[/C][C]0.023362[/C][C]0.1982[/C][C]0.42171[/C][/ROW]
[ROW][C]27[/C][C]-0.124451[/C][C]-1.056[/C][C]0.147248[/C][/ROW]
[ROW][C]28[/C][C]-0.173513[/C][C]-1.4723[/C][C]0.072648[/C][/ROW]
[ROW][C]29[/C][C]0.173912[/C][C]1.4757[/C][C]0.072194[/C][/ROW]
[ROW][C]30[/C][C]-0.159547[/C][C]-1.3538[/C][C]0.090017[/C][/ROW]
[ROW][C]31[/C][C]0.138394[/C][C]1.1743[/C][C]0.122069[/C][/ROW]
[ROW][C]32[/C][C]-0.093626[/C][C]-0.7944[/C][C]0.214775[/C][/ROW]
[ROW][C]33[/C][C]-0.017721[/C][C]-0.1504[/C][C]0.440448[/C][/ROW]
[ROW][C]34[/C][C]0.018747[/C][C]0.1591[/C][C]0.437029[/C][/ROW]
[ROW][C]35[/C][C]-0.125589[/C][C]-1.0657[/C][C]0.14507[/C][/ROW]
[ROW][C]36[/C][C]0.316305[/C][C]2.6839[/C][C]0.004511[/C][/ROW]
[ROW][C]37[/C][C]-0.065618[/C][C]-0.5568[/C][C]0.2897[/C][/ROW]
[ROW][C]38[/C][C]-0.008226[/C][C]-0.0698[/C][C]0.472272[/C][/ROW]
[ROW][C]39[/C][C]-0.063589[/C][C]-0.5396[/C][C]0.295579[/C][/ROW]
[ROW][C]40[/C][C]-0.104398[/C][C]-0.8859[/C][C]0.189324[/C][/ROW]
[ROW][C]41[/C][C]0.112576[/C][C]0.9552[/C][C]0.171326[/C][/ROW]
[ROW][C]42[/C][C]-0.084768[/C][C]-0.7193[/C][C]0.237149[/C][/ROW]
[ROW][C]43[/C][C]0.072219[/C][C]0.6128[/C][C]0.27097[/C][/ROW]
[ROW][C]44[/C][C]-0.044964[/C][C]-0.3815[/C][C]0.351967[/C][/ROW]
[ROW][C]45[/C][C]-0.004853[/C][C]-0.0412[/C][C]0.483633[/C][/ROW]
[ROW][C]46[/C][C]0.057105[/C][C]0.4846[/C][C]0.314732[/C][/ROW]
[ROW][C]47[/C][C]-0.072989[/C][C]-0.6193[/C][C]0.268826[/C][/ROW]
[ROW][C]48[/C][C]0.121062[/C][C]1.0272[/C][C]0.153871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	-0.168886	-1.433	0.078087
2	-0.029983	-0.2544	0.399951
3	-0.147494	-1.2515	0.107397
4	-0.281231	-2.3863	0.009824
5	0.293249	2.4883	0.007575
6	-0.264665	-2.2458	0.013895
7	0.208834	1.772	0.040312
8	-0.197593	-1.6766	0.048976
9	-0.130985	-1.1114	0.135037
10	0.046446	0.3941	0.347334
11	-0.150431	-1.2765	0.102949
12	0.698909	5.9304	0
13	-0.109081	-0.9256	0.178877
14	-0.010798	-0.0916	0.463627
15	-0.132272	-1.1224	0.132718
16	-0.217203	-1.843	0.034721
17	0.225932	1.9171	0.029597
18	-0.211198	-1.7921	0.038661
19	0.166578	1.4135	0.080915
20	-0.138448	-1.1748	0.121979
21	-0.084299	-0.7153	0.238367
22	0.035737	0.3032	0.38129
23	-0.151026	-1.2815	0.102065
24	0.503707	4.2741	2.9e-05
25	-0.080177	-0.6803	0.249242
26	0.023362	0.1982	0.42171
27	-0.124451	-1.056	0.147248
28	-0.173513	-1.4723	0.072648
29	0.173912	1.4757	0.072194
30	-0.159547	-1.3538	0.090017
31	0.138394	1.1743	0.122069
32	-0.093626	-0.7944	0.214775
33	-0.017721	-0.1504	0.440448
34	0.018747	0.1591	0.437029
35	-0.125589	-1.0657	0.14507
36	0.316305	2.6839	0.004511
37	-0.065618	-0.5568	0.2897
38	-0.008226	-0.0698	0.472272
39	-0.063589	-0.5396	0.295579
40	-0.104398	-0.8859	0.189324
41	0.112576	0.9552	0.171326
42	-0.084768	-0.7193	0.237149
43	0.072219	0.6128	0.27097
44	-0.044964	-0.3815	0.351967
45	-0.004853	-0.0412	0.483633
46	0.057105	0.4846	0.314732
47	-0.072989	-0.6193	0.268826
48	0.121062	1.0272	0.153871

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.168886	-1.433	0.078087
2	-0.060223	-0.511	0.305454
3	-0.168431	-1.4292	0.078638
4	-0.361823	-3.0702	0.001508
5	0.167045	1.4174	0.080336
6	-0.30937	-2.6251	0.005286
7	0.064237	0.5451	0.293695
8	-0.306232	-2.5985	0.005675
9	-0.181912	-1.5436	0.063538
10	-0.35784	-3.0364	0.001666
11	-0.275595	-2.3385	0.011071
12	0.442487	3.7546	0.000175
13	0.032081	0.2722	0.393119
14	0.058152	0.4934	0.311605
15	-0.017585	-0.1492	0.440902
16	0.15937	1.3523	0.090256
17	-0.1165	-0.9885	0.1631
18	0.05298	0.4495	0.327193
19	-0.008834	-0.075	0.470228
20	0.065862	0.5589	0.288996
21	-0.005031	-0.0427	0.483033
22	-0.018684	-0.1585	0.437239
23	-0.084447	-0.7166	0.237982
24	-0.004878	-0.0414	0.48355
25	-0.06745	-0.5723	0.284439
26	-0.01707	-0.1448	0.442619
27	-0.075806	-0.6432	0.261058
28	-0.021095	-0.179	0.429222
29	-0.085695	-0.7271	0.234748
30	-0.015902	-0.1349	0.446521
31	-0.080263	-0.6811	0.249012
32	-0.000547	-0.0046	0.498154
33	0.04013	0.3405	0.367231
34	0.002781	0.0236	0.49062
35	0.03757	0.3188	0.375405
36	-0.078834	-0.6689	0.252839
37	0.004137	0.0351	0.486047
38	-0.216042	-1.8332	0.035455
39	0.076983	0.6532	0.257847
40	-0.088958	-0.7548	0.226405
41	0.011761	0.0998	0.460391
42	-0.059191	-0.5023	0.308511
43	-0.003787	-0.0321	0.487227
44	-0.081084	-0.688	0.246826
45	-0.091917	-0.7799	0.21899
46	0.093775	0.7957	0.214408
47	0.017535	0.1488	0.441068
48	-0.077747	-0.6597	0.255774

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.168886 & -1.433 & 0.078087 \tabularnewline
2 & -0.060223 & -0.511 & 0.305454 \tabularnewline
3 & -0.168431 & -1.4292 & 0.078638 \tabularnewline
4 & -0.361823 & -3.0702 & 0.001508 \tabularnewline
5 & 0.167045 & 1.4174 & 0.080336 \tabularnewline
6 & -0.30937 & -2.6251 & 0.005286 \tabularnewline
7 & 0.064237 & 0.5451 & 0.293695 \tabularnewline
8 & -0.306232 & -2.5985 & 0.005675 \tabularnewline
9 & -0.181912 & -1.5436 & 0.063538 \tabularnewline
10 & -0.35784 & -3.0364 & 0.001666 \tabularnewline
11 & -0.275595 & -2.3385 & 0.011071 \tabularnewline
12 & 0.442487 & 3.7546 & 0.000175 \tabularnewline
13 & 0.032081 & 0.2722 & 0.393119 \tabularnewline
14 & 0.058152 & 0.4934 & 0.311605 \tabularnewline
15 & -0.017585 & -0.1492 & 0.440902 \tabularnewline
16 & 0.15937 & 1.3523 & 0.090256 \tabularnewline
17 & -0.1165 & -0.9885 & 0.1631 \tabularnewline
18 & 0.05298 & 0.4495 & 0.327193 \tabularnewline
19 & -0.008834 & -0.075 & 0.470228 \tabularnewline
20 & 0.065862 & 0.5589 & 0.288996 \tabularnewline
21 & -0.005031 & -0.0427 & 0.483033 \tabularnewline
22 & -0.018684 & -0.1585 & 0.437239 \tabularnewline
23 & -0.084447 & -0.7166 & 0.237982 \tabularnewline
24 & -0.004878 & -0.0414 & 0.48355 \tabularnewline
25 & -0.06745 & -0.5723 & 0.284439 \tabularnewline
26 & -0.01707 & -0.1448 & 0.442619 \tabularnewline
27 & -0.075806 & -0.6432 & 0.261058 \tabularnewline
28 & -0.021095 & -0.179 & 0.429222 \tabularnewline
29 & -0.085695 & -0.7271 & 0.234748 \tabularnewline
30 & -0.015902 & -0.1349 & 0.446521 \tabularnewline
31 & -0.080263 & -0.6811 & 0.249012 \tabularnewline
32 & -0.000547 & -0.0046 & 0.498154 \tabularnewline
33 & 0.04013 & 0.3405 & 0.367231 \tabularnewline
34 & 0.002781 & 0.0236 & 0.49062 \tabularnewline
35 & 0.03757 & 0.3188 & 0.375405 \tabularnewline
36 & -0.078834 & -0.6689 & 0.252839 \tabularnewline
37 & 0.004137 & 0.0351 & 0.486047 \tabularnewline
38 & -0.216042 & -1.8332 & 0.035455 \tabularnewline
39 & 0.076983 & 0.6532 & 0.257847 \tabularnewline
40 & -0.088958 & -0.7548 & 0.226405 \tabularnewline
41 & 0.011761 & 0.0998 & 0.460391 \tabularnewline
42 & -0.059191 & -0.5023 & 0.308511 \tabularnewline
43 & -0.003787 & -0.0321 & 0.487227 \tabularnewline
44 & -0.081084 & -0.688 & 0.246826 \tabularnewline
45 & -0.091917 & -0.7799 & 0.21899 \tabularnewline
46 & 0.093775 & 0.7957 & 0.214408 \tabularnewline
47 & 0.017535 & 0.1488 & 0.441068 \tabularnewline
48 & -0.077747 & -0.6597 & 0.255774 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]-0.168886[/C][C]-1.433[/C][C]0.078087[/C][/ROW]
[ROW][C]2[/C][C]-0.060223[/C][C]-0.511[/C][C]0.305454[/C][/ROW]
[ROW][C]3[/C][C]-0.168431[/C][C]-1.4292[/C][C]0.078638[/C][/ROW]
[ROW][C]4[/C][C]-0.361823[/C][C]-3.0702[/C][C]0.001508[/C][/ROW]
[ROW][C]5[/C][C]0.167045[/C][C]1.4174[/C][C]0.080336[/C][/ROW]
[ROW][C]6[/C][C]-0.30937[/C][C]-2.6251[/C][C]0.005286[/C][/ROW]
[ROW][C]7[/C][C]0.064237[/C][C]0.5451[/C][C]0.293695[/C][/ROW]
[ROW][C]8[/C][C]-0.306232[/C][C]-2.5985[/C][C]0.005675[/C][/ROW]
[ROW][C]9[/C][C]-0.181912[/C][C]-1.5436[/C][C]0.063538[/C][/ROW]
[ROW][C]10[/C][C]-0.35784[/C][C]-3.0364[/C][C]0.001666[/C][/ROW]
[ROW][C]11[/C][C]-0.275595[/C][C]-2.3385[/C][C]0.011071[/C][/ROW]
[ROW][C]12[/C][C]0.442487[/C][C]3.7546[/C][C]0.000175[/C][/ROW]
[ROW][C]13[/C][C]0.032081[/C][C]0.2722[/C][C]0.393119[/C][/ROW]
[ROW][C]14[/C][C]0.058152[/C][C]0.4934[/C][C]0.311605[/C][/ROW]
[ROW][C]15[/C][C]-0.017585[/C][C]-0.1492[/C][C]0.440902[/C][/ROW]
[ROW][C]16[/C][C]0.15937[/C][C]1.3523[/C][C]0.090256[/C][/ROW]
[ROW][C]17[/C][C]-0.1165[/C][C]-0.9885[/C][C]0.1631[/C][/ROW]
[ROW][C]18[/C][C]0.05298[/C][C]0.4495[/C][C]0.327193[/C][/ROW]
[ROW][C]19[/C][C]-0.008834[/C][C]-0.075[/C][C]0.470228[/C][/ROW]
[ROW][C]20[/C][C]0.065862[/C][C]0.5589[/C][C]0.288996[/C][/ROW]
[ROW][C]21[/C][C]-0.005031[/C][C]-0.0427[/C][C]0.483033[/C][/ROW]
[ROW][C]22[/C][C]-0.018684[/C][C]-0.1585[/C][C]0.437239[/C][/ROW]
[ROW][C]23[/C][C]-0.084447[/C][C]-0.7166[/C][C]0.237982[/C][/ROW]
[ROW][C]24[/C][C]-0.004878[/C][C]-0.0414[/C][C]0.48355[/C][/ROW]
[ROW][C]25[/C][C]-0.06745[/C][C]-0.5723[/C][C]0.284439[/C][/ROW]
[ROW][C]26[/C][C]-0.01707[/C][C]-0.1448[/C][C]0.442619[/C][/ROW]
[ROW][C]27[/C][C]-0.075806[/C][C]-0.6432[/C][C]0.261058[/C][/ROW]
[ROW][C]28[/C][C]-0.021095[/C][C]-0.179[/C][C]0.429222[/C][/ROW]
[ROW][C]29[/C][C]-0.085695[/C][C]-0.7271[/C][C]0.234748[/C][/ROW]
[ROW][C]30[/C][C]-0.015902[/C][C]-0.1349[/C][C]0.446521[/C][/ROW]
[ROW][C]31[/C][C]-0.080263[/C][C]-0.6811[/C][C]0.249012[/C][/ROW]
[ROW][C]32[/C][C]-0.000547[/C][C]-0.0046[/C][C]0.498154[/C][/ROW]
[ROW][C]33[/C][C]0.04013[/C][C]0.3405[/C][C]0.367231[/C][/ROW]
[ROW][C]34[/C][C]0.002781[/C][C]0.0236[/C][C]0.49062[/C][/ROW]
[ROW][C]35[/C][C]0.03757[/C][C]0.3188[/C][C]0.375405[/C][/ROW]
[ROW][C]36[/C][C]-0.078834[/C][C]-0.6689[/C][C]0.252839[/C][/ROW]
[ROW][C]37[/C][C]0.004137[/C][C]0.0351[/C][C]0.486047[/C][/ROW]
[ROW][C]38[/C][C]-0.216042[/C][C]-1.8332[/C][C]0.035455[/C][/ROW]
[ROW][C]39[/C][C]0.076983[/C][C]0.6532[/C][C]0.257847[/C][/ROW]
[ROW][C]40[/C][C]-0.088958[/C][C]-0.7548[/C][C]0.226405[/C][/ROW]
[ROW][C]41[/C][C]0.011761[/C][C]0.0998[/C][C]0.460391[/C][/ROW]
[ROW][C]42[/C][C]-0.059191[/C][C]-0.5023[/C][C]0.308511[/C][/ROW]
[ROW][C]43[/C][C]-0.003787[/C][C]-0.0321[/C][C]0.487227[/C][/ROW]
[ROW][C]44[/C][C]-0.081084[/C][C]-0.688[/C][C]0.246826[/C][/ROW]
[ROW][C]45[/C][C]-0.091917[/C][C]-0.7799[/C][C]0.21899[/C][/ROW]
[ROW][C]46[/C][C]0.093775[/C][C]0.7957[/C][C]0.214408[/C][/ROW]
[ROW][C]47[/C][C]0.017535[/C][C]0.1488[/C][C]0.441068[/C][/ROW]
[ROW][C]48[/C][C]-0.077747[/C][C]-0.6597[/C][C]0.255774[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	-0.168886	-1.433	0.078087
2	-0.060223	-0.511	0.305454
3	-0.168431	-1.4292	0.078638
4	-0.361823	-3.0702	0.001508
5	0.167045	1.4174	0.080336
6	-0.30937	-2.6251	0.005286
7	0.064237	0.5451	0.293695
8	-0.306232	-2.5985	0.005675
9	-0.181912	-1.5436	0.063538
10	-0.35784	-3.0364	0.001666
11	-0.275595	-2.3385	0.011071
12	0.442487	3.7546	0.000175
13	0.032081	0.2722	0.393119
14	0.058152	0.4934	0.311605
15	-0.017585	-0.1492	0.440902
16	0.15937	1.3523	0.090256
17	-0.1165	-0.9885	0.1631
18	0.05298	0.4495	0.327193
19	-0.008834	-0.075	0.470228
20	0.065862	0.5589	0.288996
21	-0.005031	-0.0427	0.483033
22	-0.018684	-0.1585	0.437239
23	-0.084447	-0.7166	0.237982
24	-0.004878	-0.0414	0.48355
25	-0.06745	-0.5723	0.284439
26	-0.01707	-0.1448	0.442619
27	-0.075806	-0.6432	0.261058
28	-0.021095	-0.179	0.429222
29	-0.085695	-0.7271	0.234748
30	-0.015902	-0.1349	0.446521
31	-0.080263	-0.6811	0.249012
32	-0.000547	-0.0046	0.498154
33	0.04013	0.3405	0.367231
34	0.002781	0.0236	0.49062
35	0.03757	0.3188	0.375405
36	-0.078834	-0.6689	0.252839
37	0.004137	0.0351	0.486047
38	-0.216042	-1.8332	0.035455
39	0.076983	0.6532	0.257847
40	-0.088958	-0.7548	0.226405
41	0.011761	0.0998	0.460391
42	-0.059191	-0.5023	0.308511
43	-0.003787	-0.0321	0.487227
44	-0.081084	-0.688	0.246826
45	-0.091917	-0.7799	0.21899
46	0.093775	0.7957	0.214408
47	0.017535	0.1488	0.441068
48	-0.077747	-0.6597	0.255774

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

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 ; par8 = ;

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 (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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