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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Fri, 23 Dec 2011 09:11:55 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/23/t1324649524bhz5zz8lgm62gpm.htm/, Retrieved Mon, 29 Apr 2024 22:30:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160425, Retrieved Mon, 29 Apr 2024 22:30:41 +0000

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User-defined keywords

Estimated Impact

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] [ WS 9 : ACF - d=0...] [2010-12-08 10:48:57] [2c786c21adba4dd4c8af44dce5258f06]
-   P             [(Partial) Autocorrelation Function] [ws 9 : ACF d=0  D...] [2010-12-08 14:42:29] [2c786c21adba4dd4c8af44dce5258f06]
- R PD                [(Partial) Autocorrelation Function] [] [2011-12-23 14:11:55] [c80accbb627afb8a1e74b91ef6a0d2c4] [Current]

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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	'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160425&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160425&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160425&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.066468	0.4605	0.323617
2	-0.426653	-2.9559	0.002411
3	0.10867	0.7529	0.227596
4	-0.017821	-0.1235	0.451126
5	-0.073737	-0.5109	0.305895
6	0.075434	0.5226	0.30182
7	-0.064242	-0.4451	0.329132
8	0.069295	0.4801	0.316672
9	0.048332	0.3349	0.369597
10	-0.302976	-2.0991	0.020547
11	0.047269	0.3275	0.37236
12	0.607039	4.2057	5.6e-05
13	0.073672	0.5104	0.30605
14	-0.34587	-2.3963	0.010254
15	-0.049481	-0.3428	0.366619
16	-0.041501	-0.2875	0.387474
17	-0.09926	-0.6877	0.247477
18	0.022238	0.1541	0.439101
19	-0.05093	-0.3529	0.362872
20	-0.015221	-0.1055	0.458227
21	0.067437	0.4672	0.321229
22	-0.166173	-1.1513	0.127659
23	-0.044371	-0.3074	0.379931
24	0.372706	2.5822	0.006462
25	0.040405	0.2799	0.390365
26	-0.328671	-2.2771	0.013638
27	-0.06115	-0.4237	0.336853
28	0.009445	0.0654	0.47405
29	-0.073504	-0.5093	0.306454
30	0.01534	0.1063	0.457902
31	-0.007374	-0.0511	0.479733
32	-0.017291	-0.1198	0.452572
33	0.087783	0.6082	0.272968
34	-0.081283	-0.5631	0.287978
35	-0.070133	-0.4859	0.314626
36	0.221927	1.5376	0.065362
37	0.009794	0.0679	0.473092
38	-0.173906	-1.2049	0.117083
39	0.041532	0.2877	0.38739
40	-0.033593	-0.2327	0.408476
41	-0.05368	-0.3719	0.3558
42	0.066106	0.458	0.32451
43	0.012133	0.0841	0.466679
44	0.005757	0.0399	0.484174
45	0.025448	0.1763	0.430396
46	-0.002516	-0.0174	0.493081
47	0.007105	0.0492	0.480473
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.066468 & 0.4605 & 0.323617 \tabularnewline
2 & -0.426653 & -2.9559 & 0.002411 \tabularnewline
3 & 0.10867 & 0.7529 & 0.227596 \tabularnewline
4 & -0.017821 & -0.1235 & 0.451126 \tabularnewline
5 & -0.073737 & -0.5109 & 0.305895 \tabularnewline
6 & 0.075434 & 0.5226 & 0.30182 \tabularnewline
7 & -0.064242 & -0.4451 & 0.329132 \tabularnewline
8 & 0.069295 & 0.4801 & 0.316672 \tabularnewline
9 & 0.048332 & 0.3349 & 0.369597 \tabularnewline
10 & -0.302976 & -2.0991 & 0.020547 \tabularnewline
11 & 0.047269 & 0.3275 & 0.37236 \tabularnewline
12 & 0.607039 & 4.2057 & 5.6e-05 \tabularnewline
13 & 0.073672 & 0.5104 & 0.30605 \tabularnewline
14 & -0.34587 & -2.3963 & 0.010254 \tabularnewline
15 & -0.049481 & -0.3428 & 0.366619 \tabularnewline
16 & -0.041501 & -0.2875 & 0.387474 \tabularnewline
17 & -0.09926 & -0.6877 & 0.247477 \tabularnewline
18 & 0.022238 & 0.1541 & 0.439101 \tabularnewline
19 & -0.05093 & -0.3529 & 0.362872 \tabularnewline
20 & -0.015221 & -0.1055 & 0.458227 \tabularnewline
21 & 0.067437 & 0.4672 & 0.321229 \tabularnewline
22 & -0.166173 & -1.1513 & 0.127659 \tabularnewline
23 & -0.044371 & -0.3074 & 0.379931 \tabularnewline
24 & 0.372706 & 2.5822 & 0.006462 \tabularnewline
25 & 0.040405 & 0.2799 & 0.390365 \tabularnewline
26 & -0.328671 & -2.2771 & 0.013638 \tabularnewline
27 & -0.06115 & -0.4237 & 0.336853 \tabularnewline
28 & 0.009445 & 0.0654 & 0.47405 \tabularnewline
29 & -0.073504 & -0.5093 & 0.306454 \tabularnewline
30 & 0.01534 & 0.1063 & 0.457902 \tabularnewline
31 & -0.007374 & -0.0511 & 0.479733 \tabularnewline
32 & -0.017291 & -0.1198 & 0.452572 \tabularnewline
33 & 0.087783 & 0.6082 & 0.272968 \tabularnewline
34 & -0.081283 & -0.5631 & 0.287978 \tabularnewline
35 & -0.070133 & -0.4859 & 0.314626 \tabularnewline
36 & 0.221927 & 1.5376 & 0.065362 \tabularnewline
37 & 0.009794 & 0.0679 & 0.473092 \tabularnewline
38 & -0.173906 & -1.2049 & 0.117083 \tabularnewline
39 & 0.041532 & 0.2877 & 0.38739 \tabularnewline
40 & -0.033593 & -0.2327 & 0.408476 \tabularnewline
41 & -0.05368 & -0.3719 & 0.3558 \tabularnewline
42 & 0.066106 & 0.458 & 0.32451 \tabularnewline
43 & 0.012133 & 0.0841 & 0.466679 \tabularnewline
44 & 0.005757 & 0.0399 & 0.484174 \tabularnewline
45 & 0.025448 & 0.1763 & 0.430396 \tabularnewline
46 & -0.002516 & -0.0174 & 0.493081 \tabularnewline
47 & 0.007105 & 0.0492 & 0.480473 \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160425&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]0.066468[/C][C]0.4605[/C][C]0.323617[/C][/ROW]
[ROW][C]2[/C][C]-0.426653[/C][C]-2.9559[/C][C]0.002411[/C][/ROW]
[ROW][C]3[/C][C]0.10867[/C][C]0.7529[/C][C]0.227596[/C][/ROW]
[ROW][C]4[/C][C]-0.017821[/C][C]-0.1235[/C][C]0.451126[/C][/ROW]
[ROW][C]5[/C][C]-0.073737[/C][C]-0.5109[/C][C]0.305895[/C][/ROW]
[ROW][C]6[/C][C]0.075434[/C][C]0.5226[/C][C]0.30182[/C][/ROW]
[ROW][C]7[/C][C]-0.064242[/C][C]-0.4451[/C][C]0.329132[/C][/ROW]
[ROW][C]8[/C][C]0.069295[/C][C]0.4801[/C][C]0.316672[/C][/ROW]
[ROW][C]9[/C][C]0.048332[/C][C]0.3349[/C][C]0.369597[/C][/ROW]
[ROW][C]10[/C][C]-0.302976[/C][C]-2.0991[/C][C]0.020547[/C][/ROW]
[ROW][C]11[/C][C]0.047269[/C][C]0.3275[/C][C]0.37236[/C][/ROW]
[ROW][C]12[/C][C]0.607039[/C][C]4.2057[/C][C]5.6e-05[/C][/ROW]
[ROW][C]13[/C][C]0.073672[/C][C]0.5104[/C][C]0.30605[/C][/ROW]
[ROW][C]14[/C][C]-0.34587[/C][C]-2.3963[/C][C]0.010254[/C][/ROW]
[ROW][C]15[/C][C]-0.049481[/C][C]-0.3428[/C][C]0.366619[/C][/ROW]
[ROW][C]16[/C][C]-0.041501[/C][C]-0.2875[/C][C]0.387474[/C][/ROW]
[ROW][C]17[/C][C]-0.09926[/C][C]-0.6877[/C][C]0.247477[/C][/ROW]
[ROW][C]18[/C][C]0.022238[/C][C]0.1541[/C][C]0.439101[/C][/ROW]
[ROW][C]19[/C][C]-0.05093[/C][C]-0.3529[/C][C]0.362872[/C][/ROW]
[ROW][C]20[/C][C]-0.015221[/C][C]-0.1055[/C][C]0.458227[/C][/ROW]
[ROW][C]21[/C][C]0.067437[/C][C]0.4672[/C][C]0.321229[/C][/ROW]
[ROW][C]22[/C][C]-0.166173[/C][C]-1.1513[/C][C]0.127659[/C][/ROW]
[ROW][C]23[/C][C]-0.044371[/C][C]-0.3074[/C][C]0.379931[/C][/ROW]
[ROW][C]24[/C][C]0.372706[/C][C]2.5822[/C][C]0.006462[/C][/ROW]
[ROW][C]25[/C][C]0.040405[/C][C]0.2799[/C][C]0.390365[/C][/ROW]
[ROW][C]26[/C][C]-0.328671[/C][C]-2.2771[/C][C]0.013638[/C][/ROW]
[ROW][C]27[/C][C]-0.06115[/C][C]-0.4237[/C][C]0.336853[/C][/ROW]
[ROW][C]28[/C][C]0.009445[/C][C]0.0654[/C][C]0.47405[/C][/ROW]
[ROW][C]29[/C][C]-0.073504[/C][C]-0.5093[/C][C]0.306454[/C][/ROW]
[ROW][C]30[/C][C]0.01534[/C][C]0.1063[/C][C]0.457902[/C][/ROW]
[ROW][C]31[/C][C]-0.007374[/C][C]-0.0511[/C][C]0.479733[/C][/ROW]
[ROW][C]32[/C][C]-0.017291[/C][C]-0.1198[/C][C]0.452572[/C][/ROW]
[ROW][C]33[/C][C]0.087783[/C][C]0.6082[/C][C]0.272968[/C][/ROW]
[ROW][C]34[/C][C]-0.081283[/C][C]-0.5631[/C][C]0.287978[/C][/ROW]
[ROW][C]35[/C][C]-0.070133[/C][C]-0.4859[/C][C]0.314626[/C][/ROW]
[ROW][C]36[/C][C]0.221927[/C][C]1.5376[/C][C]0.065362[/C][/ROW]
[ROW][C]37[/C][C]0.009794[/C][C]0.0679[/C][C]0.473092[/C][/ROW]
[ROW][C]38[/C][C]-0.173906[/C][C]-1.2049[/C][C]0.117083[/C][/ROW]
[ROW][C]39[/C][C]0.041532[/C][C]0.2877[/C][C]0.38739[/C][/ROW]
[ROW][C]40[/C][C]-0.033593[/C][C]-0.2327[/C][C]0.408476[/C][/ROW]
[ROW][C]41[/C][C]-0.05368[/C][C]-0.3719[/C][C]0.3558[/C][/ROW]
[ROW][C]42[/C][C]0.066106[/C][C]0.458[/C][C]0.32451[/C][/ROW]
[ROW][C]43[/C][C]0.012133[/C][C]0.0841[/C][C]0.466679[/C][/ROW]
[ROW][C]44[/C][C]0.005757[/C][C]0.0399[/C][C]0.484174[/C][/ROW]
[ROW][C]45[/C][C]0.025448[/C][C]0.1763[/C][C]0.430396[/C][/ROW]
[ROW][C]46[/C][C]-0.002516[/C][C]-0.0174[/C][C]0.493081[/C][/ROW]
[ROW][C]47[/C][C]0.007105[/C][C]0.0492[/C][C]0.480473[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160425&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160425&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	0.066468	0.4605	0.323617
2	-0.426653	-2.9559	0.002411
3	0.10867	0.7529	0.227596
4	-0.017821	-0.1235	0.451126
5	-0.073737	-0.5109	0.305895
6	0.075434	0.5226	0.30182
7	-0.064242	-0.4451	0.329132
8	0.069295	0.4801	0.316672
9	0.048332	0.3349	0.369597
10	-0.302976	-2.0991	0.020547
11	0.047269	0.3275	0.37236
12	0.607039	4.2057	5.6e-05
13	0.073672	0.5104	0.30605
14	-0.34587	-2.3963	0.010254
15	-0.049481	-0.3428	0.366619
16	-0.041501	-0.2875	0.387474
17	-0.09926	-0.6877	0.247477
18	0.022238	0.1541	0.439101
19	-0.05093	-0.3529	0.362872
20	-0.015221	-0.1055	0.458227
21	0.067437	0.4672	0.321229
22	-0.166173	-1.1513	0.127659
23	-0.044371	-0.3074	0.379931
24	0.372706	2.5822	0.006462
25	0.040405	0.2799	0.390365
26	-0.328671	-2.2771	0.013638
27	-0.06115	-0.4237	0.336853
28	0.009445	0.0654	0.47405
29	-0.073504	-0.5093	0.306454
30	0.01534	0.1063	0.457902
31	-0.007374	-0.0511	0.479733
32	-0.017291	-0.1198	0.452572
33	0.087783	0.6082	0.272968
34	-0.081283	-0.5631	0.287978
35	-0.070133	-0.4859	0.314626
36	0.221927	1.5376	0.065362
37	0.009794	0.0679	0.473092
38	-0.173906	-1.2049	0.117083
39	0.041532	0.2877	0.38739
40	-0.033593	-0.2327	0.408476
41	-0.05368	-0.3719	0.3558
42	0.066106	0.458	0.32451
43	0.012133	0.0841	0.466679
44	0.005757	0.0399	0.484174
45	0.025448	0.1763	0.430396
46	-0.002516	-0.0174	0.493081
47	0.007105	0.0492	0.480473
48	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.066468	0.4605	0.323617
2	-0.432984	-2.9998	0.002137
3	0.220151	1.5252	0.06688
4	-0.320688	-2.2218	0.015523
5	0.198946	1.3783	0.087245
6	-0.193032	-1.3374	0.093703
7	0.065694	0.4551	0.32553
8	0.07437	0.5153	0.304372
9	-0.100655	-0.6974	0.244471
10	-0.212825	-1.4745	0.073439
11	0.169671	1.1755	0.122793
12	0.513396	3.5569	0.000428
13	-0.024326	-0.1685	0.433434
14	0.049856	0.3454	0.365647
15	-0.242502	-1.6801	0.049717
16	-0.011482	-0.0795	0.468464
17	-0.188499	-1.306	0.098896
18	0.001247	0.0086	0.496571
19	-0.17431	-1.2077	0.116549
20	-0.161073	-1.1159	0.135
21	0.093931	0.6508	0.259148
22	-0.107502	-0.7448	0.230014
23	0.095903	0.6644	0.254795
24	-0.147587	-1.0225	0.155832
25	-0.002351	-0.0163	0.493536
26	-0.164835	-1.142	0.129558
27	0.083025	0.5752	0.283916
28	0.02221	0.1539	0.439177
29	-0.013484	-0.0934	0.46298
30	0.012671	0.0878	0.465205
31	-0.018941	-0.1312	0.448072
32	0.03057	0.2118	0.416581
33	0.023387	0.162	0.43598
34	-0.081527	-0.5648	0.287409
35	-0.015214	-0.1054	0.458247
36	-0.172273	-1.1935	0.119262
37	0.017244	0.1195	0.452701
38	0.158492	1.0981	0.138826
39	0.044191	0.3062	0.380403
40	-0.056658	-0.3925	0.3482
41	-0.085896	-0.5951	0.277284
42	-0.005152	-0.0357	0.485838
43	0.061766	0.4279	0.33531
44	-0.020585	-0.1426	0.443595
45	-0.176289	-1.2214	0.113956
46	0.084916	0.5883	0.27954
47	-0.059744	-0.4139	0.34039
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.066468 & 0.4605 & 0.323617 \tabularnewline
2 & -0.432984 & -2.9998 & 0.002137 \tabularnewline
3 & 0.220151 & 1.5252 & 0.06688 \tabularnewline
4 & -0.320688 & -2.2218 & 0.015523 \tabularnewline
5 & 0.198946 & 1.3783 & 0.087245 \tabularnewline
6 & -0.193032 & -1.3374 & 0.093703 \tabularnewline
7 & 0.065694 & 0.4551 & 0.32553 \tabularnewline
8 & 0.07437 & 0.5153 & 0.304372 \tabularnewline
9 & -0.100655 & -0.6974 & 0.244471 \tabularnewline
10 & -0.212825 & -1.4745 & 0.073439 \tabularnewline
11 & 0.169671 & 1.1755 & 0.122793 \tabularnewline
12 & 0.513396 & 3.5569 & 0.000428 \tabularnewline
13 & -0.024326 & -0.1685 & 0.433434 \tabularnewline
14 & 0.049856 & 0.3454 & 0.365647 \tabularnewline
15 & -0.242502 & -1.6801 & 0.049717 \tabularnewline
16 & -0.011482 & -0.0795 & 0.468464 \tabularnewline
17 & -0.188499 & -1.306 & 0.098896 \tabularnewline
18 & 0.001247 & 0.0086 & 0.496571 \tabularnewline
19 & -0.17431 & -1.2077 & 0.116549 \tabularnewline
20 & -0.161073 & -1.1159 & 0.135 \tabularnewline
21 & 0.093931 & 0.6508 & 0.259148 \tabularnewline
22 & -0.107502 & -0.7448 & 0.230014 \tabularnewline
23 & 0.095903 & 0.6644 & 0.254795 \tabularnewline
24 & -0.147587 & -1.0225 & 0.155832 \tabularnewline
25 & -0.002351 & -0.0163 & 0.493536 \tabularnewline
26 & -0.164835 & -1.142 & 0.129558 \tabularnewline
27 & 0.083025 & 0.5752 & 0.283916 \tabularnewline
28 & 0.02221 & 0.1539 & 0.439177 \tabularnewline
29 & -0.013484 & -0.0934 & 0.46298 \tabularnewline
30 & 0.012671 & 0.0878 & 0.465205 \tabularnewline
31 & -0.018941 & -0.1312 & 0.448072 \tabularnewline
32 & 0.03057 & 0.2118 & 0.416581 \tabularnewline
33 & 0.023387 & 0.162 & 0.43598 \tabularnewline
34 & -0.081527 & -0.5648 & 0.287409 \tabularnewline
35 & -0.015214 & -0.1054 & 0.458247 \tabularnewline
36 & -0.172273 & -1.1935 & 0.119262 \tabularnewline
37 & 0.017244 & 0.1195 & 0.452701 \tabularnewline
38 & 0.158492 & 1.0981 & 0.138826 \tabularnewline
39 & 0.044191 & 0.3062 & 0.380403 \tabularnewline
40 & -0.056658 & -0.3925 & 0.3482 \tabularnewline
41 & -0.085896 & -0.5951 & 0.277284 \tabularnewline
42 & -0.005152 & -0.0357 & 0.485838 \tabularnewline
43 & 0.061766 & 0.4279 & 0.33531 \tabularnewline
44 & -0.020585 & -0.1426 & 0.443595 \tabularnewline
45 & -0.176289 & -1.2214 & 0.113956 \tabularnewline
46 & 0.084916 & 0.5883 & 0.27954 \tabularnewline
47 & -0.059744 & -0.4139 & 0.34039 \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160425&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]0.066468[/C][C]0.4605[/C][C]0.323617[/C][/ROW]
[ROW][C]2[/C][C]-0.432984[/C][C]-2.9998[/C][C]0.002137[/C][/ROW]
[ROW][C]3[/C][C]0.220151[/C][C]1.5252[/C][C]0.06688[/C][/ROW]
[ROW][C]4[/C][C]-0.320688[/C][C]-2.2218[/C][C]0.015523[/C][/ROW]
[ROW][C]5[/C][C]0.198946[/C][C]1.3783[/C][C]0.087245[/C][/ROW]
[ROW][C]6[/C][C]-0.193032[/C][C]-1.3374[/C][C]0.093703[/C][/ROW]
[ROW][C]7[/C][C]0.065694[/C][C]0.4551[/C][C]0.32553[/C][/ROW]
[ROW][C]8[/C][C]0.07437[/C][C]0.5153[/C][C]0.304372[/C][/ROW]
[ROW][C]9[/C][C]-0.100655[/C][C]-0.6974[/C][C]0.244471[/C][/ROW]
[ROW][C]10[/C][C]-0.212825[/C][C]-1.4745[/C][C]0.073439[/C][/ROW]
[ROW][C]11[/C][C]0.169671[/C][C]1.1755[/C][C]0.122793[/C][/ROW]
[ROW][C]12[/C][C]0.513396[/C][C]3.5569[/C][C]0.000428[/C][/ROW]
[ROW][C]13[/C][C]-0.024326[/C][C]-0.1685[/C][C]0.433434[/C][/ROW]
[ROW][C]14[/C][C]0.049856[/C][C]0.3454[/C][C]0.365647[/C][/ROW]
[ROW][C]15[/C][C]-0.242502[/C][C]-1.6801[/C][C]0.049717[/C][/ROW]
[ROW][C]16[/C][C]-0.011482[/C][C]-0.0795[/C][C]0.468464[/C][/ROW]
[ROW][C]17[/C][C]-0.188499[/C][C]-1.306[/C][C]0.098896[/C][/ROW]
[ROW][C]18[/C][C]0.001247[/C][C]0.0086[/C][C]0.496571[/C][/ROW]
[ROW][C]19[/C][C]-0.17431[/C][C]-1.2077[/C][C]0.116549[/C][/ROW]
[ROW][C]20[/C][C]-0.161073[/C][C]-1.1159[/C][C]0.135[/C][/ROW]
[ROW][C]21[/C][C]0.093931[/C][C]0.6508[/C][C]0.259148[/C][/ROW]
[ROW][C]22[/C][C]-0.107502[/C][C]-0.7448[/C][C]0.230014[/C][/ROW]
[ROW][C]23[/C][C]0.095903[/C][C]0.6644[/C][C]0.254795[/C][/ROW]
[ROW][C]24[/C][C]-0.147587[/C][C]-1.0225[/C][C]0.155832[/C][/ROW]
[ROW][C]25[/C][C]-0.002351[/C][C]-0.0163[/C][C]0.493536[/C][/ROW]
[ROW][C]26[/C][C]-0.164835[/C][C]-1.142[/C][C]0.129558[/C][/ROW]
[ROW][C]27[/C][C]0.083025[/C][C]0.5752[/C][C]0.283916[/C][/ROW]
[ROW][C]28[/C][C]0.02221[/C][C]0.1539[/C][C]0.439177[/C][/ROW]
[ROW][C]29[/C][C]-0.013484[/C][C]-0.0934[/C][C]0.46298[/C][/ROW]
[ROW][C]30[/C][C]0.012671[/C][C]0.0878[/C][C]0.465205[/C][/ROW]
[ROW][C]31[/C][C]-0.018941[/C][C]-0.1312[/C][C]0.448072[/C][/ROW]
[ROW][C]32[/C][C]0.03057[/C][C]0.2118[/C][C]0.416581[/C][/ROW]
[ROW][C]33[/C][C]0.023387[/C][C]0.162[/C][C]0.43598[/C][/ROW]
[ROW][C]34[/C][C]-0.081527[/C][C]-0.5648[/C][C]0.287409[/C][/ROW]
[ROW][C]35[/C][C]-0.015214[/C][C]-0.1054[/C][C]0.458247[/C][/ROW]
[ROW][C]36[/C][C]-0.172273[/C][C]-1.1935[/C][C]0.119262[/C][/ROW]
[ROW][C]37[/C][C]0.017244[/C][C]0.1195[/C][C]0.452701[/C][/ROW]
[ROW][C]38[/C][C]0.158492[/C][C]1.0981[/C][C]0.138826[/C][/ROW]
[ROW][C]39[/C][C]0.044191[/C][C]0.3062[/C][C]0.380403[/C][/ROW]
[ROW][C]40[/C][C]-0.056658[/C][C]-0.3925[/C][C]0.3482[/C][/ROW]
[ROW][C]41[/C][C]-0.085896[/C][C]-0.5951[/C][C]0.277284[/C][/ROW]
[ROW][C]42[/C][C]-0.005152[/C][C]-0.0357[/C][C]0.485838[/C][/ROW]
[ROW][C]43[/C][C]0.061766[/C][C]0.4279[/C][C]0.33531[/C][/ROW]
[ROW][C]44[/C][C]-0.020585[/C][C]-0.1426[/C][C]0.443595[/C][/ROW]
[ROW][C]45[/C][C]-0.176289[/C][C]-1.2214[/C][C]0.113956[/C][/ROW]
[ROW][C]46[/C][C]0.084916[/C][C]0.5883[/C][C]0.27954[/C][/ROW]
[ROW][C]47[/C][C]-0.059744[/C][C]-0.4139[/C][C]0.34039[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160425&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160425&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	0.066468	0.4605	0.323617
2	-0.432984	-2.9998	0.002137
3	0.220151	1.5252	0.06688
4	-0.320688	-2.2218	0.015523
5	0.198946	1.3783	0.087245
6	-0.193032	-1.3374	0.093703
7	0.065694	0.4551	0.32553
8	0.07437	0.5153	0.304372
9	-0.100655	-0.6974	0.244471
10	-0.212825	-1.4745	0.073439
11	0.169671	1.1755	0.122793
12	0.513396	3.5569	0.000428
13	-0.024326	-0.1685	0.433434
14	0.049856	0.3454	0.365647
15	-0.242502	-1.6801	0.049717
16	-0.011482	-0.0795	0.468464
17	-0.188499	-1.306	0.098896
18	0.001247	0.0086	0.496571
19	-0.17431	-1.2077	0.116549
20	-0.161073	-1.1159	0.135
21	0.093931	0.6508	0.259148
22	-0.107502	-0.7448	0.230014
23	0.095903	0.6644	0.254795
24	-0.147587	-1.0225	0.155832
25	-0.002351	-0.0163	0.493536
26	-0.164835	-1.142	0.129558
27	0.083025	0.5752	0.283916
28	0.02221	0.1539	0.439177
29	-0.013484	-0.0934	0.46298
30	0.012671	0.0878	0.465205
31	-0.018941	-0.1312	0.448072
32	0.03057	0.2118	0.416581
33	0.023387	0.162	0.43598
34	-0.081527	-0.5648	0.287409
35	-0.015214	-0.1054	0.458247
36	-0.172273	-1.1935	0.119262
37	0.017244	0.1195	0.452701
38	0.158492	1.0981	0.138826
39	0.044191	0.3062	0.380403
40	-0.056658	-0.3925	0.3482
41	-0.085896	-0.5951	0.277284
42	-0.005152	-0.0357	0.485838
43	0.061766	0.4279	0.33531
44	-0.020585	-0.1426	0.443595
45	-0.176289	-1.2214	0.113956
46	0.084916	0.5883	0.27954
47	-0.059744	-0.4139	0.34039
48	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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 (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