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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Wed, 13 May 2009 11:35:01 -0600

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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/May/13/t1242236414yqy1a797j9pesrh.htm/, Retrieved Wed, 08 May 2024 12:22:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39879, Retrieved Wed, 08 May 2024 12:22:00 +0000

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Estimated Impact

121

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [(Partial) Autocorrelation Function] [Autocorrelatie - ...] [2009-05-13 17:35:01] [46186faee359a0c92d914c5fc942bc84] [Current]
-    D    [(Partial) Autocorrelation Function] [Opgave 6bis - Sof...] [2009-05-14 16:32:26] [74be16979710d4c4e7c6647856088456] 

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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=39879&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=39879&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39879&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	0.919244	7.9609	0
2	0.840369	7.2778	0
3	0.762762	6.6057	0
4	0.684975	5.9321	0
5	0.609454	5.278	1e-06
6	0.536426	4.6456	7e-06
7	0.469157	4.063	5.9e-05
8	0.408783	3.5402	0.000345
9	0.354292	3.0683	0.001498
10	0.297926	2.5801	0.005916
11	0.248319	2.1505	0.017369
12	0.202294	1.7519	0.041938
13	0.163477	1.4157	0.080494
14	0.127398	1.1033	0.136713
15	0.09337	0.8086	0.210649
16	0.057808	0.5006	0.309049
17	0.028328	0.2453	0.403435
18	-0.000737	-0.0064	0.497464
19	-0.028108	-0.2434	0.404172
20	-0.05118	-0.4432	0.329437
21	-0.073082	-0.6329	0.26436
22	-0.096028	-0.8316	0.204129
23	-0.117456	-1.0172	0.156164
24	-0.136971	-1.1862	0.119643
25	-0.151871	-1.3152	0.096218
26	-0.165482	-1.4331	0.07799
27	-0.178147	-1.5428	0.063544
28	-0.191523	-1.6586	0.050682
29	-0.203219	-1.7599	0.041249
30	-0.212402	-1.8395	0.034903
31	-0.22006	-1.9058	0.030256
32	-0.222403	-1.9261	0.028943
33	-0.224657	-1.9456	0.027726
34	-0.227291	-1.9684	0.026359
35	-0.230043	-1.9922	0.024993
36	-0.232663	-2.0149	0.023749
37	-0.235395	-2.0386	0.022508
38	-0.238602	-2.0664	0.021124
39	-0.2426	-2.101	0.019502
40	-0.246879	-2.138	0.017886
41	-0.251481	-2.1779	0.016279
42	-0.25669	-2.223	0.014614
43	-0.261703	-2.2664	0.013155
44	-0.266877	-2.3112	0.011785
45	-0.246617	-2.1358	0.017981
46	-0.22706	-1.9664	0.026477
47	-0.208272	-1.8037	0.037648
48	-0.189699	-1.6428	0.052301

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.919244 & 7.9609 & 0 \tabularnewline
2 & 0.840369 & 7.2778 & 0 \tabularnewline
3 & 0.762762 & 6.6057 & 0 \tabularnewline
4 & 0.684975 & 5.9321 & 0 \tabularnewline
5 & 0.609454 & 5.278 & 1e-06 \tabularnewline
6 & 0.536426 & 4.6456 & 7e-06 \tabularnewline
7 & 0.469157 & 4.063 & 5.9e-05 \tabularnewline
8 & 0.408783 & 3.5402 & 0.000345 \tabularnewline
9 & 0.354292 & 3.0683 & 0.001498 \tabularnewline
10 & 0.297926 & 2.5801 & 0.005916 \tabularnewline
11 & 0.248319 & 2.1505 & 0.017369 \tabularnewline
12 & 0.202294 & 1.7519 & 0.041938 \tabularnewline
13 & 0.163477 & 1.4157 & 0.080494 \tabularnewline
14 & 0.127398 & 1.1033 & 0.136713 \tabularnewline
15 & 0.09337 & 0.8086 & 0.210649 \tabularnewline
16 & 0.057808 & 0.5006 & 0.309049 \tabularnewline
17 & 0.028328 & 0.2453 & 0.403435 \tabularnewline
18 & -0.000737 & -0.0064 & 0.497464 \tabularnewline
19 & -0.028108 & -0.2434 & 0.404172 \tabularnewline
20 & -0.05118 & -0.4432 & 0.329437 \tabularnewline
21 & -0.073082 & -0.6329 & 0.26436 \tabularnewline
22 & -0.096028 & -0.8316 & 0.204129 \tabularnewline
23 & -0.117456 & -1.0172 & 0.156164 \tabularnewline
24 & -0.136971 & -1.1862 & 0.119643 \tabularnewline
25 & -0.151871 & -1.3152 & 0.096218 \tabularnewline
26 & -0.165482 & -1.4331 & 0.07799 \tabularnewline
27 & -0.178147 & -1.5428 & 0.063544 \tabularnewline
28 & -0.191523 & -1.6586 & 0.050682 \tabularnewline
29 & -0.203219 & -1.7599 & 0.041249 \tabularnewline
30 & -0.212402 & -1.8395 & 0.034903 \tabularnewline
31 & -0.22006 & -1.9058 & 0.030256 \tabularnewline
32 & -0.222403 & -1.9261 & 0.028943 \tabularnewline
33 & -0.224657 & -1.9456 & 0.027726 \tabularnewline
34 & -0.227291 & -1.9684 & 0.026359 \tabularnewline
35 & -0.230043 & -1.9922 & 0.024993 \tabularnewline
36 & -0.232663 & -2.0149 & 0.023749 \tabularnewline
37 & -0.235395 & -2.0386 & 0.022508 \tabularnewline
38 & -0.238602 & -2.0664 & 0.021124 \tabularnewline
39 & -0.2426 & -2.101 & 0.019502 \tabularnewline
40 & -0.246879 & -2.138 & 0.017886 \tabularnewline
41 & -0.251481 & -2.1779 & 0.016279 \tabularnewline
42 & -0.25669 & -2.223 & 0.014614 \tabularnewline
43 & -0.261703 & -2.2664 & 0.013155 \tabularnewline
44 & -0.266877 & -2.3112 & 0.011785 \tabularnewline
45 & -0.246617 & -2.1358 & 0.017981 \tabularnewline
46 & -0.22706 & -1.9664 & 0.026477 \tabularnewline
47 & -0.208272 & -1.8037 & 0.037648 \tabularnewline
48 & -0.189699 & -1.6428 & 0.052301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39879&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]0.919244[/C][C]7.9609[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.840369[/C][C]7.2778[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.762762[/C][C]6.6057[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.684975[/C][C]5.9321[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.609454[/C][C]5.278[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.536426[/C][C]4.6456[/C][C]7e-06[/C][/ROW]
[ROW][C]7[/C][C]0.469157[/C][C]4.063[/C][C]5.9e-05[/C][/ROW]
[ROW][C]8[/C][C]0.408783[/C][C]3.5402[/C][C]0.000345[/C][/ROW]
[ROW][C]9[/C][C]0.354292[/C][C]3.0683[/C][C]0.001498[/C][/ROW]
[ROW][C]10[/C][C]0.297926[/C][C]2.5801[/C][C]0.005916[/C][/ROW]
[ROW][C]11[/C][C]0.248319[/C][C]2.1505[/C][C]0.017369[/C][/ROW]
[ROW][C]12[/C][C]0.202294[/C][C]1.7519[/C][C]0.041938[/C][/ROW]
[ROW][C]13[/C][C]0.163477[/C][C]1.4157[/C][C]0.080494[/C][/ROW]
[ROW][C]14[/C][C]0.127398[/C][C]1.1033[/C][C]0.136713[/C][/ROW]
[ROW][C]15[/C][C]0.09337[/C][C]0.8086[/C][C]0.210649[/C][/ROW]
[ROW][C]16[/C][C]0.057808[/C][C]0.5006[/C][C]0.309049[/C][/ROW]
[ROW][C]17[/C][C]0.028328[/C][C]0.2453[/C][C]0.403435[/C][/ROW]
[ROW][C]18[/C][C]-0.000737[/C][C]-0.0064[/C][C]0.497464[/C][/ROW]
[ROW][C]19[/C][C]-0.028108[/C][C]-0.2434[/C][C]0.404172[/C][/ROW]
[ROW][C]20[/C][C]-0.05118[/C][C]-0.4432[/C][C]0.329437[/C][/ROW]
[ROW][C]21[/C][C]-0.073082[/C][C]-0.6329[/C][C]0.26436[/C][/ROW]
[ROW][C]22[/C][C]-0.096028[/C][C]-0.8316[/C][C]0.204129[/C][/ROW]
[ROW][C]23[/C][C]-0.117456[/C][C]-1.0172[/C][C]0.156164[/C][/ROW]
[ROW][C]24[/C][C]-0.136971[/C][C]-1.1862[/C][C]0.119643[/C][/ROW]
[ROW][C]25[/C][C]-0.151871[/C][C]-1.3152[/C][C]0.096218[/C][/ROW]
[ROW][C]26[/C][C]-0.165482[/C][C]-1.4331[/C][C]0.07799[/C][/ROW]
[ROW][C]27[/C][C]-0.178147[/C][C]-1.5428[/C][C]0.063544[/C][/ROW]
[ROW][C]28[/C][C]-0.191523[/C][C]-1.6586[/C][C]0.050682[/C][/ROW]
[ROW][C]29[/C][C]-0.203219[/C][C]-1.7599[/C][C]0.041249[/C][/ROW]
[ROW][C]30[/C][C]-0.212402[/C][C]-1.8395[/C][C]0.034903[/C][/ROW]
[ROW][C]31[/C][C]-0.22006[/C][C]-1.9058[/C][C]0.030256[/C][/ROW]
[ROW][C]32[/C][C]-0.222403[/C][C]-1.9261[/C][C]0.028943[/C][/ROW]
[ROW][C]33[/C][C]-0.224657[/C][C]-1.9456[/C][C]0.027726[/C][/ROW]
[ROW][C]34[/C][C]-0.227291[/C][C]-1.9684[/C][C]0.026359[/C][/ROW]
[ROW][C]35[/C][C]-0.230043[/C][C]-1.9922[/C][C]0.024993[/C][/ROW]
[ROW][C]36[/C][C]-0.232663[/C][C]-2.0149[/C][C]0.023749[/C][/ROW]
[ROW][C]37[/C][C]-0.235395[/C][C]-2.0386[/C][C]0.022508[/C][/ROW]
[ROW][C]38[/C][C]-0.238602[/C][C]-2.0664[/C][C]0.021124[/C][/ROW]
[ROW][C]39[/C][C]-0.2426[/C][C]-2.101[/C][C]0.019502[/C][/ROW]
[ROW][C]40[/C][C]-0.246879[/C][C]-2.138[/C][C]0.017886[/C][/ROW]
[ROW][C]41[/C][C]-0.251481[/C][C]-2.1779[/C][C]0.016279[/C][/ROW]
[ROW][C]42[/C][C]-0.25669[/C][C]-2.223[/C][C]0.014614[/C][/ROW]
[ROW][C]43[/C][C]-0.261703[/C][C]-2.2664[/C][C]0.013155[/C][/ROW]
[ROW][C]44[/C][C]-0.266877[/C][C]-2.3112[/C][C]0.011785[/C][/ROW]
[ROW][C]45[/C][C]-0.246617[/C][C]-2.1358[/C][C]0.017981[/C][/ROW]
[ROW][C]46[/C][C]-0.22706[/C][C]-1.9664[/C][C]0.026477[/C][/ROW]
[ROW][C]47[/C][C]-0.208272[/C][C]-1.8037[/C][C]0.037648[/C][/ROW]
[ROW][C]48[/C][C]-0.189699[/C][C]-1.6428[/C][C]0.052301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39879&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39879&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	0.919244	7.9609	0
2	0.840369	7.2778	0
3	0.762762	6.6057	0
4	0.684975	5.9321	0
5	0.609454	5.278	1e-06
6	0.536426	4.6456	7e-06
7	0.469157	4.063	5.9e-05
8	0.408783	3.5402	0.000345
9	0.354292	3.0683	0.001498
10	0.297926	2.5801	0.005916
11	0.248319	2.1505	0.017369
12	0.202294	1.7519	0.041938
13	0.163477	1.4157	0.080494
14	0.127398	1.1033	0.136713
15	0.09337	0.8086	0.210649
16	0.057808	0.5006	0.309049
17	0.028328	0.2453	0.403435
18	-0.000737	-0.0064	0.497464
19	-0.028108	-0.2434	0.404172
20	-0.05118	-0.4432	0.329437
21	-0.073082	-0.6329	0.26436
22	-0.096028	-0.8316	0.204129
23	-0.117456	-1.0172	0.156164
24	-0.136971	-1.1862	0.119643
25	-0.151871	-1.3152	0.096218
26	-0.165482	-1.4331	0.07799
27	-0.178147	-1.5428	0.063544
28	-0.191523	-1.6586	0.050682
29	-0.203219	-1.7599	0.041249
30	-0.212402	-1.8395	0.034903
31	-0.22006	-1.9058	0.030256
32	-0.222403	-1.9261	0.028943
33	-0.224657	-1.9456	0.027726
34	-0.227291	-1.9684	0.026359
35	-0.230043	-1.9922	0.024993
36	-0.232663	-2.0149	0.023749
37	-0.235395	-2.0386	0.022508
38	-0.238602	-2.0664	0.021124
39	-0.2426	-2.101	0.019502
40	-0.246879	-2.138	0.017886
41	-0.251481	-2.1779	0.016279
42	-0.25669	-2.223	0.014614
43	-0.261703	-2.2664	0.013155
44	-0.266877	-2.3112	0.011785
45	-0.246617	-2.1358	0.017981
46	-0.22706	-1.9664	0.026477
47	-0.208272	-1.8037	0.037648
48	-0.189699	-1.6428	0.052301

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.919244	7.9609	0
2	-0.02994	-0.2593	0.398062
3	-0.034544	-0.2992	0.382823
4	-0.045023	-0.3899	0.348853
5	-0.031444	-0.2723	0.393066
6	-0.030499	-0.2641	0.396201
7	-0.009711	-0.0841	0.466601
8	-0.000513	-0.0044	0.498232
9	-0.004218	-0.0365	0.485478
10	-0.052671	-0.4561	0.324802
11	4e-05	3e-04	0.499863
12	-0.016705	-0.1447	0.442678
13	0.009418	0.0816	0.467605
14	-0.016251	-0.1407	0.444227
15	-0.018958	-0.1642	0.435017
16	-0.043796	-0.3793	0.352776
17	0.004424	0.0383	0.484771
18	-0.028187	-0.2441	0.403908
19	-0.017048	-0.1476	0.441513
20	-0.003602	-0.0312	0.487598
21	-0.019511	-0.169	0.433137
22	-0.038172	-0.3306	0.370942
23	-0.02	-0.1732	0.431477
24	-0.017145	-0.1485	0.441181
25	0.00394	0.0341	0.486437
26	-0.020378	-0.1765	0.430195
27	-0.018268	-0.1582	0.43736
28	-0.033472	-0.2899	0.386355
29	-0.01712	-0.1483	0.441267
30	-0.010505	-0.091	0.463878
31	-0.01239	-0.1073	0.457418
32	0.010111	0.0876	0.465228
33	-0.0191	-0.1654	0.434534
34	-0.027197	-0.2355	0.407217
35	-0.023431	-0.2029	0.419876
36	-0.019636	-0.1701	0.432713
37	-0.01912	-0.1656	0.434464
38	-0.024937	-0.216	0.414804
39	-0.026882	-0.2328	0.408272
40	-0.026925	-0.2332	0.408131
41	-0.028348	-0.2455	0.40337
42	-0.028471	-0.2466	0.402959
43	-0.023916	-0.2071	0.41824
44	-0.02735	-0.2369	0.406707
45	0.138611	1.2004	0.11688
46	-0.01366	-0.1183	0.453075
47	-0.015616	-0.1352	0.446392
48	-0.012485	-0.1081	0.457094

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.919244 & 7.9609 & 0 \tabularnewline
2 & -0.02994 & -0.2593 & 0.398062 \tabularnewline
3 & -0.034544 & -0.2992 & 0.382823 \tabularnewline
4 & -0.045023 & -0.3899 & 0.348853 \tabularnewline
5 & -0.031444 & -0.2723 & 0.393066 \tabularnewline
6 & -0.030499 & -0.2641 & 0.396201 \tabularnewline
7 & -0.009711 & -0.0841 & 0.466601 \tabularnewline
8 & -0.000513 & -0.0044 & 0.498232 \tabularnewline
9 & -0.004218 & -0.0365 & 0.485478 \tabularnewline
10 & -0.052671 & -0.4561 & 0.324802 \tabularnewline
11 & 4e-05 & 3e-04 & 0.499863 \tabularnewline
12 & -0.016705 & -0.1447 & 0.442678 \tabularnewline
13 & 0.009418 & 0.0816 & 0.467605 \tabularnewline
14 & -0.016251 & -0.1407 & 0.444227 \tabularnewline
15 & -0.018958 & -0.1642 & 0.435017 \tabularnewline
16 & -0.043796 & -0.3793 & 0.352776 \tabularnewline
17 & 0.004424 & 0.0383 & 0.484771 \tabularnewline
18 & -0.028187 & -0.2441 & 0.403908 \tabularnewline
19 & -0.017048 & -0.1476 & 0.441513 \tabularnewline
20 & -0.003602 & -0.0312 & 0.487598 \tabularnewline
21 & -0.019511 & -0.169 & 0.433137 \tabularnewline
22 & -0.038172 & -0.3306 & 0.370942 \tabularnewline
23 & -0.02 & -0.1732 & 0.431477 \tabularnewline
24 & -0.017145 & -0.1485 & 0.441181 \tabularnewline
25 & 0.00394 & 0.0341 & 0.486437 \tabularnewline
26 & -0.020378 & -0.1765 & 0.430195 \tabularnewline
27 & -0.018268 & -0.1582 & 0.43736 \tabularnewline
28 & -0.033472 & -0.2899 & 0.386355 \tabularnewline
29 & -0.01712 & -0.1483 & 0.441267 \tabularnewline
30 & -0.010505 & -0.091 & 0.463878 \tabularnewline
31 & -0.01239 & -0.1073 & 0.457418 \tabularnewline
32 & 0.010111 & 0.0876 & 0.465228 \tabularnewline
33 & -0.0191 & -0.1654 & 0.434534 \tabularnewline
34 & -0.027197 & -0.2355 & 0.407217 \tabularnewline
35 & -0.023431 & -0.2029 & 0.419876 \tabularnewline
36 & -0.019636 & -0.1701 & 0.432713 \tabularnewline
37 & -0.01912 & -0.1656 & 0.434464 \tabularnewline
38 & -0.024937 & -0.216 & 0.414804 \tabularnewline
39 & -0.026882 & -0.2328 & 0.408272 \tabularnewline
40 & -0.026925 & -0.2332 & 0.408131 \tabularnewline
41 & -0.028348 & -0.2455 & 0.40337 \tabularnewline
42 & -0.028471 & -0.2466 & 0.402959 \tabularnewline
43 & -0.023916 & -0.2071 & 0.41824 \tabularnewline
44 & -0.02735 & -0.2369 & 0.406707 \tabularnewline
45 & 0.138611 & 1.2004 & 0.11688 \tabularnewline
46 & -0.01366 & -0.1183 & 0.453075 \tabularnewline
47 & -0.015616 & -0.1352 & 0.446392 \tabularnewline
48 & -0.012485 & -0.1081 & 0.457094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39879&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]0.919244[/C][C]7.9609[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.02994[/C][C]-0.2593[/C][C]0.398062[/C][/ROW]
[ROW][C]3[/C][C]-0.034544[/C][C]-0.2992[/C][C]0.382823[/C][/ROW]
[ROW][C]4[/C][C]-0.045023[/C][C]-0.3899[/C][C]0.348853[/C][/ROW]
[ROW][C]5[/C][C]-0.031444[/C][C]-0.2723[/C][C]0.393066[/C][/ROW]
[ROW][C]6[/C][C]-0.030499[/C][C]-0.2641[/C][C]0.396201[/C][/ROW]
[ROW][C]7[/C][C]-0.009711[/C][C]-0.0841[/C][C]0.466601[/C][/ROW]
[ROW][C]8[/C][C]-0.000513[/C][C]-0.0044[/C][C]0.498232[/C][/ROW]
[ROW][C]9[/C][C]-0.004218[/C][C]-0.0365[/C][C]0.485478[/C][/ROW]
[ROW][C]10[/C][C]-0.052671[/C][C]-0.4561[/C][C]0.324802[/C][/ROW]
[ROW][C]11[/C][C]4e-05[/C][C]3e-04[/C][C]0.499863[/C][/ROW]
[ROW][C]12[/C][C]-0.016705[/C][C]-0.1447[/C][C]0.442678[/C][/ROW]
[ROW][C]13[/C][C]0.009418[/C][C]0.0816[/C][C]0.467605[/C][/ROW]
[ROW][C]14[/C][C]-0.016251[/C][C]-0.1407[/C][C]0.444227[/C][/ROW]
[ROW][C]15[/C][C]-0.018958[/C][C]-0.1642[/C][C]0.435017[/C][/ROW]
[ROW][C]16[/C][C]-0.043796[/C][C]-0.3793[/C][C]0.352776[/C][/ROW]
[ROW][C]17[/C][C]0.004424[/C][C]0.0383[/C][C]0.484771[/C][/ROW]
[ROW][C]18[/C][C]-0.028187[/C][C]-0.2441[/C][C]0.403908[/C][/ROW]
[ROW][C]19[/C][C]-0.017048[/C][C]-0.1476[/C][C]0.441513[/C][/ROW]
[ROW][C]20[/C][C]-0.003602[/C][C]-0.0312[/C][C]0.487598[/C][/ROW]
[ROW][C]21[/C][C]-0.019511[/C][C]-0.169[/C][C]0.433137[/C][/ROW]
[ROW][C]22[/C][C]-0.038172[/C][C]-0.3306[/C][C]0.370942[/C][/ROW]
[ROW][C]23[/C][C]-0.02[/C][C]-0.1732[/C][C]0.431477[/C][/ROW]
[ROW][C]24[/C][C]-0.017145[/C][C]-0.1485[/C][C]0.441181[/C][/ROW]
[ROW][C]25[/C][C]0.00394[/C][C]0.0341[/C][C]0.486437[/C][/ROW]
[ROW][C]26[/C][C]-0.020378[/C][C]-0.1765[/C][C]0.430195[/C][/ROW]
[ROW][C]27[/C][C]-0.018268[/C][C]-0.1582[/C][C]0.43736[/C][/ROW]
[ROW][C]28[/C][C]-0.033472[/C][C]-0.2899[/C][C]0.386355[/C][/ROW]
[ROW][C]29[/C][C]-0.01712[/C][C]-0.1483[/C][C]0.441267[/C][/ROW]
[ROW][C]30[/C][C]-0.010505[/C][C]-0.091[/C][C]0.463878[/C][/ROW]
[ROW][C]31[/C][C]-0.01239[/C][C]-0.1073[/C][C]0.457418[/C][/ROW]
[ROW][C]32[/C][C]0.010111[/C][C]0.0876[/C][C]0.465228[/C][/ROW]
[ROW][C]33[/C][C]-0.0191[/C][C]-0.1654[/C][C]0.434534[/C][/ROW]
[ROW][C]34[/C][C]-0.027197[/C][C]-0.2355[/C][C]0.407217[/C][/ROW]
[ROW][C]35[/C][C]-0.023431[/C][C]-0.2029[/C][C]0.419876[/C][/ROW]
[ROW][C]36[/C][C]-0.019636[/C][C]-0.1701[/C][C]0.432713[/C][/ROW]
[ROW][C]37[/C][C]-0.01912[/C][C]-0.1656[/C][C]0.434464[/C][/ROW]
[ROW][C]38[/C][C]-0.024937[/C][C]-0.216[/C][C]0.414804[/C][/ROW]
[ROW][C]39[/C][C]-0.026882[/C][C]-0.2328[/C][C]0.408272[/C][/ROW]
[ROW][C]40[/C][C]-0.026925[/C][C]-0.2332[/C][C]0.408131[/C][/ROW]
[ROW][C]41[/C][C]-0.028348[/C][C]-0.2455[/C][C]0.40337[/C][/ROW]
[ROW][C]42[/C][C]-0.028471[/C][C]-0.2466[/C][C]0.402959[/C][/ROW]
[ROW][C]43[/C][C]-0.023916[/C][C]-0.2071[/C][C]0.41824[/C][/ROW]
[ROW][C]44[/C][C]-0.02735[/C][C]-0.2369[/C][C]0.406707[/C][/ROW]
[ROW][C]45[/C][C]0.138611[/C][C]1.2004[/C][C]0.11688[/C][/ROW]
[ROW][C]46[/C][C]-0.01366[/C][C]-0.1183[/C][C]0.453075[/C][/ROW]
[ROW][C]47[/C][C]-0.015616[/C][C]-0.1352[/C][C]0.446392[/C][/ROW]
[ROW][C]48[/C][C]-0.012485[/C][C]-0.1081[/C][C]0.457094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39879&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39879&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	0.919244	7.9609	0
2	-0.02994	-0.2593	0.398062
3	-0.034544	-0.2992	0.382823
4	-0.045023	-0.3899	0.348853
5	-0.031444	-0.2723	0.393066
6	-0.030499	-0.2641	0.396201
7	-0.009711	-0.0841	0.466601
8	-0.000513	-0.0044	0.498232
9	-0.004218	-0.0365	0.485478
10	-0.052671	-0.4561	0.324802
11	4e-05	3e-04	0.499863
12	-0.016705	-0.1447	0.442678
13	0.009418	0.0816	0.467605
14	-0.016251	-0.1407	0.444227
15	-0.018958	-0.1642	0.435017
16	-0.043796	-0.3793	0.352776
17	0.004424	0.0383	0.484771
18	-0.028187	-0.2441	0.403908
19	-0.017048	-0.1476	0.441513
20	-0.003602	-0.0312	0.487598
21	-0.019511	-0.169	0.433137
22	-0.038172	-0.3306	0.370942
23	-0.02	-0.1732	0.431477
24	-0.017145	-0.1485	0.441181
25	0.00394	0.0341	0.486437
26	-0.020378	-0.1765	0.430195
27	-0.018268	-0.1582	0.43736
28	-0.033472	-0.2899	0.386355
29	-0.01712	-0.1483	0.441267
30	-0.010505	-0.091	0.463878
31	-0.01239	-0.1073	0.457418
32	0.010111	0.0876	0.465228
33	-0.0191	-0.1654	0.434534
34	-0.027197	-0.2355	0.407217
35	-0.023431	-0.2029	0.419876
36	-0.019636	-0.1701	0.432713
37	-0.01912	-0.1656	0.434464
38	-0.024937	-0.216	0.414804
39	-0.026882	-0.2328	0.408272
40	-0.026925	-0.2332	0.408131
41	-0.028348	-0.2455	0.40337
42	-0.028471	-0.2466	0.402959
43	-0.023916	-0.2071	0.41824
44	-0.02735	-0.2369	0.406707
45	0.138611	1.2004	0.11688
46	-0.01366	-0.1183	0.453075
47	-0.015616	-0.1352	0.446392
48	-0.012485	-0.1081	0.457094

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 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;

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 (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='lags',ylab='ACF')
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