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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 06 Dec 2007 06:45:17 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/06/t1196947996veu2vytmjibcghu.htm/, Retrieved Fri, 03 May 2024 05:49:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2606, Retrieved Fri, 03 May 2024 05:49:30 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

194

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

-       [(Partial) Autocorrelation Function] [Workshop 5 Q1 Bel...] [2007-12-06 13:45:17] [44cf2be50bc8700e14714598feda9df9] [Current]

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Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2606&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2606&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2606&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	6.0828	0
1	-0.014685	-0.0893	0.535348
2	0.098986	0.6021	0.275388
3	0.263405	1.6022	0.058804
4	0.057331	0.3487	0.364634
5	-0.036578	-0.2225	0.587424
6	0.049365	0.3003	0.382824
7	-0.210156	-1.2783	0.895452
8	-0.043232	-0.263	0.602984
9	-0.137551	-0.8367	0.795931
10	-0.007858	-0.0478	0.518933
11	-0.111422	-0.6778	0.748927
12	-0.267517	-1.6272	0.943913
13	0.132276	0.8046	0.213093
14	0.022801	0.1387	0.445223
15	-0.020197	-0.1229	0.548557
16	-0.056851	-0.3458	0.634277
17	0.048256	0.2935	0.385379
18	0.073836	0.4491	0.32798
19	-0.056309	-0.3425	0.63305
20	0.015686	0.0954	0.462251
21	0.099014	0.6023	0.27533
22	-0.215255	-1.3093	0.900754
23	0.061206	0.3723	0.355897
24	-0.062012	-0.3772	0.645911
25	-0.207714	-1.2635	0.892839
26	-0.09836	-0.5983	0.723358
27	-0.031497	-0.1916	0.575443
28	-0.108728	-0.6614	0.743762
29	0.044709	0.272	0.393584
30	-0.022076	-0.1343	0.553047
31	0.043888	0.267	0.39549
32	0.037079	0.2255	0.4114
33	0.061734	0.3755	0.354712
34	0.060191	0.3661	0.358178
35	0.027736	0.1687	0.433471
36	0.010499	0.0639	0.474711
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.0828 & 0 \tabularnewline
1 & -0.014685 & -0.0893 & 0.535348 \tabularnewline
2 & 0.098986 & 0.6021 & 0.275388 \tabularnewline
3 & 0.263405 & 1.6022 & 0.058804 \tabularnewline
4 & 0.057331 & 0.3487 & 0.364634 \tabularnewline
5 & -0.036578 & -0.2225 & 0.587424 \tabularnewline
6 & 0.049365 & 0.3003 & 0.382824 \tabularnewline
7 & -0.210156 & -1.2783 & 0.895452 \tabularnewline
8 & -0.043232 & -0.263 & 0.602984 \tabularnewline
9 & -0.137551 & -0.8367 & 0.795931 \tabularnewline
10 & -0.007858 & -0.0478 & 0.518933 \tabularnewline
11 & -0.111422 & -0.6778 & 0.748927 \tabularnewline
12 & -0.267517 & -1.6272 & 0.943913 \tabularnewline
13 & 0.132276 & 0.8046 & 0.213093 \tabularnewline
14 & 0.022801 & 0.1387 & 0.445223 \tabularnewline
15 & -0.020197 & -0.1229 & 0.548557 \tabularnewline
16 & -0.056851 & -0.3458 & 0.634277 \tabularnewline
17 & 0.048256 & 0.2935 & 0.385379 \tabularnewline
18 & 0.073836 & 0.4491 & 0.32798 \tabularnewline
19 & -0.056309 & -0.3425 & 0.63305 \tabularnewline
20 & 0.015686 & 0.0954 & 0.462251 \tabularnewline
21 & 0.099014 & 0.6023 & 0.27533 \tabularnewline
22 & -0.215255 & -1.3093 & 0.900754 \tabularnewline
23 & 0.061206 & 0.3723 & 0.355897 \tabularnewline
24 & -0.062012 & -0.3772 & 0.645911 \tabularnewline
25 & -0.207714 & -1.2635 & 0.892839 \tabularnewline
26 & -0.09836 & -0.5983 & 0.723358 \tabularnewline
27 & -0.031497 & -0.1916 & 0.575443 \tabularnewline
28 & -0.108728 & -0.6614 & 0.743762 \tabularnewline
29 & 0.044709 & 0.272 & 0.393584 \tabularnewline
30 & -0.022076 & -0.1343 & 0.553047 \tabularnewline
31 & 0.043888 & 0.267 & 0.39549 \tabularnewline
32 & 0.037079 & 0.2255 & 0.4114 \tabularnewline
33 & 0.061734 & 0.3755 & 0.354712 \tabularnewline
34 & 0.060191 & 0.3661 & 0.358178 \tabularnewline
35 & 0.027736 & 0.1687 & 0.433471 \tabularnewline
36 & 0.010499 & 0.0639 & 0.474711 \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2606&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]0[/C][C]1[/C][C]6.0828[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.014685[/C][C]-0.0893[/C][C]0.535348[/C][/ROW]
[ROW][C]2[/C][C]0.098986[/C][C]0.6021[/C][C]0.275388[/C][/ROW]
[ROW][C]3[/C][C]0.263405[/C][C]1.6022[/C][C]0.058804[/C][/ROW]
[ROW][C]4[/C][C]0.057331[/C][C]0.3487[/C][C]0.364634[/C][/ROW]
[ROW][C]5[/C][C]-0.036578[/C][C]-0.2225[/C][C]0.587424[/C][/ROW]
[ROW][C]6[/C][C]0.049365[/C][C]0.3003[/C][C]0.382824[/C][/ROW]
[ROW][C]7[/C][C]-0.210156[/C][C]-1.2783[/C][C]0.895452[/C][/ROW]
[ROW][C]8[/C][C]-0.043232[/C][C]-0.263[/C][C]0.602984[/C][/ROW]
[ROW][C]9[/C][C]-0.137551[/C][C]-0.8367[/C][C]0.795931[/C][/ROW]
[ROW][C]10[/C][C]-0.007858[/C][C]-0.0478[/C][C]0.518933[/C][/ROW]
[ROW][C]11[/C][C]-0.111422[/C][C]-0.6778[/C][C]0.748927[/C][/ROW]
[ROW][C]12[/C][C]-0.267517[/C][C]-1.6272[/C][C]0.943913[/C][/ROW]
[ROW][C]13[/C][C]0.132276[/C][C]0.8046[/C][C]0.213093[/C][/ROW]
[ROW][C]14[/C][C]0.022801[/C][C]0.1387[/C][C]0.445223[/C][/ROW]
[ROW][C]15[/C][C]-0.020197[/C][C]-0.1229[/C][C]0.548557[/C][/ROW]
[ROW][C]16[/C][C]-0.056851[/C][C]-0.3458[/C][C]0.634277[/C][/ROW]
[ROW][C]17[/C][C]0.048256[/C][C]0.2935[/C][C]0.385379[/C][/ROW]
[ROW][C]18[/C][C]0.073836[/C][C]0.4491[/C][C]0.32798[/C][/ROW]
[ROW][C]19[/C][C]-0.056309[/C][C]-0.3425[/C][C]0.63305[/C][/ROW]
[ROW][C]20[/C][C]0.015686[/C][C]0.0954[/C][C]0.462251[/C][/ROW]
[ROW][C]21[/C][C]0.099014[/C][C]0.6023[/C][C]0.27533[/C][/ROW]
[ROW][C]22[/C][C]-0.215255[/C][C]-1.3093[/C][C]0.900754[/C][/ROW]
[ROW][C]23[/C][C]0.061206[/C][C]0.3723[/C][C]0.355897[/C][/ROW]
[ROW][C]24[/C][C]-0.062012[/C][C]-0.3772[/C][C]0.645911[/C][/ROW]
[ROW][C]25[/C][C]-0.207714[/C][C]-1.2635[/C][C]0.892839[/C][/ROW]
[ROW][C]26[/C][C]-0.09836[/C][C]-0.5983[/C][C]0.723358[/C][/ROW]
[ROW][C]27[/C][C]-0.031497[/C][C]-0.1916[/C][C]0.575443[/C][/ROW]
[ROW][C]28[/C][C]-0.108728[/C][C]-0.6614[/C][C]0.743762[/C][/ROW]
[ROW][C]29[/C][C]0.044709[/C][C]0.272[/C][C]0.393584[/C][/ROW]
[ROW][C]30[/C][C]-0.022076[/C][C]-0.1343[/C][C]0.553047[/C][/ROW]
[ROW][C]31[/C][C]0.043888[/C][C]0.267[/C][C]0.39549[/C][/ROW]
[ROW][C]32[/C][C]0.037079[/C][C]0.2255[/C][C]0.4114[/C][/ROW]
[ROW][C]33[/C][C]0.061734[/C][C]0.3755[/C][C]0.354712[/C][/ROW]
[ROW][C]34[/C][C]0.060191[/C][C]0.3661[/C][C]0.358178[/C][/ROW]
[ROW][C]35[/C][C]0.027736[/C][C]0.1687[/C][C]0.433471[/C][/ROW]
[ROW][C]36[/C][C]0.010499[/C][C]0.0639[/C][C]0.474711[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2606&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2606&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
0	1	6.0828	0
1	-0.014685	-0.0893	0.535348
2	0.098986	0.6021	0.275388
3	0.263405	1.6022	0.058804
4	0.057331	0.3487	0.364634
5	-0.036578	-0.2225	0.587424
6	0.049365	0.3003	0.382824
7	-0.210156	-1.2783	0.895452
8	-0.043232	-0.263	0.602984
9	-0.137551	-0.8367	0.795931
10	-0.007858	-0.0478	0.518933
11	-0.111422	-0.6778	0.748927
12	-0.267517	-1.6272	0.943913
13	0.132276	0.8046	0.213093
14	0.022801	0.1387	0.445223
15	-0.020197	-0.1229	0.548557
16	-0.056851	-0.3458	0.634277
17	0.048256	0.2935	0.385379
18	0.073836	0.4491	0.32798
19	-0.056309	-0.3425	0.63305
20	0.015686	0.0954	0.462251
21	0.099014	0.6023	0.27533
22	-0.215255	-1.3093	0.900754
23	0.061206	0.3723	0.355897
24	-0.062012	-0.3772	0.645911
25	-0.207714	-1.2635	0.892839
26	-0.09836	-0.5983	0.723358
27	-0.031497	-0.1916	0.575443
28	-0.108728	-0.6614	0.743762
29	0.044709	0.272	0.393584
30	-0.022076	-0.1343	0.553047
31	0.043888	0.267	0.39549
32	0.037079	0.2255	0.4114
33	0.061734	0.3755	0.354712
34	0.060191	0.3661	0.358178
35	0.027736	0.1687	0.433471
36	0.010499	0.0639	0.474711
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	-0.014685	-0.0893	0.535348
1	0.098791	0.6009	0.275777
2	0.268848	1.6353	0.05523
3	0.067101	0.4082	0.342755
4	-0.092202	-0.5608	0.710858
5	-0.044939	-0.2734	0.606949
6	-0.252766	-1.5375	0.933662
7	-0.047454	-0.2887	0.612772
8	-0.104937	-0.6383	0.736398
9	0.129969	0.7906	0.217117
10	-0.014368	-0.0874	0.534586
11	-0.270643	-1.6463	0.94591
12	0.135244	0.8227	0.207986
13	0.067931	0.4132	0.340919
14	0.141212	0.859	0.197948
15	-0.202321	-1.2307	0.886894
16	-0.049923	-0.3037	0.618459
17	0.075443	0.4589	0.324495
18	-0.154357	-0.9389	0.823069
19	0.076221	0.4636	0.322813
20	0.06498	0.3953	0.347461
21	-0.133095	-0.8096	0.788323
22	-0.092599	-0.5633	0.71167
23	-0.193114	-1.1747	0.876183
24	0.012758	0.0776	0.46928
25	-0.108454	-0.6597	0.743234
26	0.017804	0.1083	0.457173
27	-0.055615	-0.3383	0.631474
28	0.108364	0.6592	0.256939
29	0.085994	0.5231	0.302018
30	-0.132265	-0.8045	0.786887
31	0.039496	0.2402	0.405733
32	-0.049843	-0.3032	0.618275
33	-0.07403	-0.4503	0.672443
34	-0.043286	-0.2633	0.60311
35	-0.067589	-0.4111	0.658325
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.014685 & -0.0893 & 0.535348 \tabularnewline
1 & 0.098791 & 0.6009 & 0.275777 \tabularnewline
2 & 0.268848 & 1.6353 & 0.05523 \tabularnewline
3 & 0.067101 & 0.4082 & 0.342755 \tabularnewline
4 & -0.092202 & -0.5608 & 0.710858 \tabularnewline
5 & -0.044939 & -0.2734 & 0.606949 \tabularnewline
6 & -0.252766 & -1.5375 & 0.933662 \tabularnewline
7 & -0.047454 & -0.2887 & 0.612772 \tabularnewline
8 & -0.104937 & -0.6383 & 0.736398 \tabularnewline
9 & 0.129969 & 0.7906 & 0.217117 \tabularnewline
10 & -0.014368 & -0.0874 & 0.534586 \tabularnewline
11 & -0.270643 & -1.6463 & 0.94591 \tabularnewline
12 & 0.135244 & 0.8227 & 0.207986 \tabularnewline
13 & 0.067931 & 0.4132 & 0.340919 \tabularnewline
14 & 0.141212 & 0.859 & 0.197948 \tabularnewline
15 & -0.202321 & -1.2307 & 0.886894 \tabularnewline
16 & -0.049923 & -0.3037 & 0.618459 \tabularnewline
17 & 0.075443 & 0.4589 & 0.324495 \tabularnewline
18 & -0.154357 & -0.9389 & 0.823069 \tabularnewline
19 & 0.076221 & 0.4636 & 0.322813 \tabularnewline
20 & 0.06498 & 0.3953 & 0.347461 \tabularnewline
21 & -0.133095 & -0.8096 & 0.788323 \tabularnewline
22 & -0.092599 & -0.5633 & 0.71167 \tabularnewline
23 & -0.193114 & -1.1747 & 0.876183 \tabularnewline
24 & 0.012758 & 0.0776 & 0.46928 \tabularnewline
25 & -0.108454 & -0.6597 & 0.743234 \tabularnewline
26 & 0.017804 & 0.1083 & 0.457173 \tabularnewline
27 & -0.055615 & -0.3383 & 0.631474 \tabularnewline
28 & 0.108364 & 0.6592 & 0.256939 \tabularnewline
29 & 0.085994 & 0.5231 & 0.302018 \tabularnewline
30 & -0.132265 & -0.8045 & 0.786887 \tabularnewline
31 & 0.039496 & 0.2402 & 0.405733 \tabularnewline
32 & -0.049843 & -0.3032 & 0.618275 \tabularnewline
33 & -0.07403 & -0.4503 & 0.672443 \tabularnewline
34 & -0.043286 & -0.2633 & 0.60311 \tabularnewline
35 & -0.067589 & -0.4111 & 0.658325 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2606&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]0[/C][C]-0.014685[/C][C]-0.0893[/C][C]0.535348[/C][/ROW]
[ROW][C]1[/C][C]0.098791[/C][C]0.6009[/C][C]0.275777[/C][/ROW]
[ROW][C]2[/C][C]0.268848[/C][C]1.6353[/C][C]0.05523[/C][/ROW]
[ROW][C]3[/C][C]0.067101[/C][C]0.4082[/C][C]0.342755[/C][/ROW]
[ROW][C]4[/C][C]-0.092202[/C][C]-0.5608[/C][C]0.710858[/C][/ROW]
[ROW][C]5[/C][C]-0.044939[/C][C]-0.2734[/C][C]0.606949[/C][/ROW]
[ROW][C]6[/C][C]-0.252766[/C][C]-1.5375[/C][C]0.933662[/C][/ROW]
[ROW][C]7[/C][C]-0.047454[/C][C]-0.2887[/C][C]0.612772[/C][/ROW]
[ROW][C]8[/C][C]-0.104937[/C][C]-0.6383[/C][C]0.736398[/C][/ROW]
[ROW][C]9[/C][C]0.129969[/C][C]0.7906[/C][C]0.217117[/C][/ROW]
[ROW][C]10[/C][C]-0.014368[/C][C]-0.0874[/C][C]0.534586[/C][/ROW]
[ROW][C]11[/C][C]-0.270643[/C][C]-1.6463[/C][C]0.94591[/C][/ROW]
[ROW][C]12[/C][C]0.135244[/C][C]0.8227[/C][C]0.207986[/C][/ROW]
[ROW][C]13[/C][C]0.067931[/C][C]0.4132[/C][C]0.340919[/C][/ROW]
[ROW][C]14[/C][C]0.141212[/C][C]0.859[/C][C]0.197948[/C][/ROW]
[ROW][C]15[/C][C]-0.202321[/C][C]-1.2307[/C][C]0.886894[/C][/ROW]
[ROW][C]16[/C][C]-0.049923[/C][C]-0.3037[/C][C]0.618459[/C][/ROW]
[ROW][C]17[/C][C]0.075443[/C][C]0.4589[/C][C]0.324495[/C][/ROW]
[ROW][C]18[/C][C]-0.154357[/C][C]-0.9389[/C][C]0.823069[/C][/ROW]
[ROW][C]19[/C][C]0.076221[/C][C]0.4636[/C][C]0.322813[/C][/ROW]
[ROW][C]20[/C][C]0.06498[/C][C]0.3953[/C][C]0.347461[/C][/ROW]
[ROW][C]21[/C][C]-0.133095[/C][C]-0.8096[/C][C]0.788323[/C][/ROW]
[ROW][C]22[/C][C]-0.092599[/C][C]-0.5633[/C][C]0.71167[/C][/ROW]
[ROW][C]23[/C][C]-0.193114[/C][C]-1.1747[/C][C]0.876183[/C][/ROW]
[ROW][C]24[/C][C]0.012758[/C][C]0.0776[/C][C]0.46928[/C][/ROW]
[ROW][C]25[/C][C]-0.108454[/C][C]-0.6597[/C][C]0.743234[/C][/ROW]
[ROW][C]26[/C][C]0.017804[/C][C]0.1083[/C][C]0.457173[/C][/ROW]
[ROW][C]27[/C][C]-0.055615[/C][C]-0.3383[/C][C]0.631474[/C][/ROW]
[ROW][C]28[/C][C]0.108364[/C][C]0.6592[/C][C]0.256939[/C][/ROW]
[ROW][C]29[/C][C]0.085994[/C][C]0.5231[/C][C]0.302018[/C][/ROW]
[ROW][C]30[/C][C]-0.132265[/C][C]-0.8045[/C][C]0.786887[/C][/ROW]
[ROW][C]31[/C][C]0.039496[/C][C]0.2402[/C][C]0.405733[/C][/ROW]
[ROW][C]32[/C][C]-0.049843[/C][C]-0.3032[/C][C]0.618275[/C][/ROW]
[ROW][C]33[/C][C]-0.07403[/C][C]-0.4503[/C][C]0.672443[/C][/ROW]
[ROW][C]34[/C][C]-0.043286[/C][C]-0.2633[/C][C]0.60311[/C][/ROW]
[ROW][C]35[/C][C]-0.067589[/C][C]-0.4111[/C][C]0.658325[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2606&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2606&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
0	-0.014685	-0.0893	0.535348
1	0.098791	0.6009	0.275777
2	0.268848	1.6353	0.05523
3	0.067101	0.4082	0.342755
4	-0.092202	-0.5608	0.710858
5	-0.044939	-0.2734	0.606949
6	-0.252766	-1.5375	0.933662
7	-0.047454	-0.2887	0.612772
8	-0.104937	-0.6383	0.736398
9	0.129969	0.7906	0.217117
10	-0.014368	-0.0874	0.534586
11	-0.270643	-1.6463	0.94591
12	0.135244	0.8227	0.207986
13	0.067931	0.4132	0.340919
14	0.141212	0.859	0.197948
15	-0.202321	-1.2307	0.886894
16	-0.049923	-0.3037	0.618459
17	0.075443	0.4589	0.324495
18	-0.154357	-0.9389	0.823069
19	0.076221	0.4636	0.322813
20	0.06498	0.3953	0.347461
21	-0.133095	-0.8096	0.788323
22	-0.092599	-0.5633	0.71167
23	-0.193114	-1.1747	0.876183
24	0.012758	0.0776	0.46928
25	-0.108454	-0.6597	0.743234
26	0.017804	0.1083	0.457173
27	-0.055615	-0.3383	0.631474
28	0.108364	0.6592	0.256939
29	0.085994	0.5231	0.302018
30	-0.132265	-0.8045	0.786887
31	0.039496	0.2402	0.405733
32	-0.049843	-0.3032	0.618275
33	-0.07403	-0.4503	0.672443
34	-0.043286	-0.2633	0.60311
35	-0.067589	-0.4111	0.658325
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA

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 = 1 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(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