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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 11 Dec 2008 05:37:58 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/11/t1228999192vhc92l477dvkd2m.htm/, Retrieved Sat, 25 May 2024 08:48:53 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32198, Retrieved Sat, 25 May 2024 08:48:53 +0000

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-       [(Partial) Autocorrelation Function] [Paper] [2008-12-11 12:37:58] [1351baa662f198be3bff32f9007a9a6d] [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	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32198&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32198&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32198&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	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.28832	2.4465	0.008435
2	0.354557	3.0085	0.001808
3	0.272162	2.3094	0.011897
4	0.202916	1.7218	0.0447
5	0.138081	1.1717	0.1226
6	0.282368	2.396	0.009588
7	0.09321	0.7909	0.215795
8	0.251295	2.1323	0.018197
9	0.317579	2.6947	0.004381
10	0.214252	1.818	0.036613
11	0.272046	2.3084	0.011926
12	-0.076116	-0.6459	0.260209
13	0.073063	0.62	0.268621
14	0.086747	0.7361	0.232039
15	0.04548	0.3859	0.350352
16	0.066911	0.5678	0.285983
17	0.201842	1.7127	0.045537
18	0.055156	0.468	0.320593
19	0.154632	1.3121	0.096828
20	0.151171	1.2827	0.101851
21	-0.034254	-0.2907	0.386076
22	-0.089351	-0.7582	0.225414
23	-0.000332	-0.0028	0.49888
24	0.019968	0.1694	0.432966
25	-0.031938	-0.271	0.393584
26	0.098627	0.8369	0.202714
27	0.005025	0.0426	0.483055
28	0.037471	0.3179	0.375722
29	0.017295	0.1468	0.441868
30	0.003659	0.031	0.487659
31	-0.114562	-0.9721	0.167129
32	-0.059193	-0.5023	0.308507
33	-0.080959	-0.687	0.247157
34	0.036988	0.3139	0.377271
35	-0.022727	-0.1928	0.423813
36	-0.119825	-1.0168	0.156338
37	0.008964	0.0761	0.469791
38	-0.116712	-0.9903	0.162664
39	-0.095996	-0.8146	0.209007
40	-0.060308	-0.5117	0.305204
41	-0.142621	-1.2102	0.115084
42	-0.200008	-1.6971	0.046996
43	0.037837	0.3211	0.374549
44	-0.148329	-1.2586	0.106117
45	-0.078138	-0.663	0.254717
46	-0.135068	-1.1461	0.127776
47	-0.179683	-1.5247	0.065862
48	-0.163918	-1.3909	0.084272
49	-0.119647	-1.0152	0.156696
50	-0.197468	-1.6756	0.04908
51	-0.124398	-1.0556	0.14735
52	-0.182916	-1.5521	0.062512
53	-0.107246	-0.91	0.182925
54	-0.05616	-0.4765	0.317569
55	-0.182046	-1.5447	0.0634
56	-0.144432	-1.2255	0.112182
57	-0.138202	-1.1727	0.122394
58	-0.141042	-1.1968	0.117659
59	-0.100251	-0.8507	0.198891
60	-0.068251	-0.5791	0.282155

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.28832 & 2.4465 & 0.008435 \tabularnewline
2 & 0.354557 & 3.0085 & 0.001808 \tabularnewline
3 & 0.272162 & 2.3094 & 0.011897 \tabularnewline
4 & 0.202916 & 1.7218 & 0.0447 \tabularnewline
5 & 0.138081 & 1.1717 & 0.1226 \tabularnewline
6 & 0.282368 & 2.396 & 0.009588 \tabularnewline
7 & 0.09321 & 0.7909 & 0.215795 \tabularnewline
8 & 0.251295 & 2.1323 & 0.018197 \tabularnewline
9 & 0.317579 & 2.6947 & 0.004381 \tabularnewline
10 & 0.214252 & 1.818 & 0.036613 \tabularnewline
11 & 0.272046 & 2.3084 & 0.011926 \tabularnewline
12 & -0.076116 & -0.6459 & 0.260209 \tabularnewline
13 & 0.073063 & 0.62 & 0.268621 \tabularnewline
14 & 0.086747 & 0.7361 & 0.232039 \tabularnewline
15 & 0.04548 & 0.3859 & 0.350352 \tabularnewline
16 & 0.066911 & 0.5678 & 0.285983 \tabularnewline
17 & 0.201842 & 1.7127 & 0.045537 \tabularnewline
18 & 0.055156 & 0.468 & 0.320593 \tabularnewline
19 & 0.154632 & 1.3121 & 0.096828 \tabularnewline
20 & 0.151171 & 1.2827 & 0.101851 \tabularnewline
21 & -0.034254 & -0.2907 & 0.386076 \tabularnewline
22 & -0.089351 & -0.7582 & 0.225414 \tabularnewline
23 & -0.000332 & -0.0028 & 0.49888 \tabularnewline
24 & 0.019968 & 0.1694 & 0.432966 \tabularnewline
25 & -0.031938 & -0.271 & 0.393584 \tabularnewline
26 & 0.098627 & 0.8369 & 0.202714 \tabularnewline
27 & 0.005025 & 0.0426 & 0.483055 \tabularnewline
28 & 0.037471 & 0.3179 & 0.375722 \tabularnewline
29 & 0.017295 & 0.1468 & 0.441868 \tabularnewline
30 & 0.003659 & 0.031 & 0.487659 \tabularnewline
31 & -0.114562 & -0.9721 & 0.167129 \tabularnewline
32 & -0.059193 & -0.5023 & 0.308507 \tabularnewline
33 & -0.080959 & -0.687 & 0.247157 \tabularnewline
34 & 0.036988 & 0.3139 & 0.377271 \tabularnewline
35 & -0.022727 & -0.1928 & 0.423813 \tabularnewline
36 & -0.119825 & -1.0168 & 0.156338 \tabularnewline
37 & 0.008964 & 0.0761 & 0.469791 \tabularnewline
38 & -0.116712 & -0.9903 & 0.162664 \tabularnewline
39 & -0.095996 & -0.8146 & 0.209007 \tabularnewline
40 & -0.060308 & -0.5117 & 0.305204 \tabularnewline
41 & -0.142621 & -1.2102 & 0.115084 \tabularnewline
42 & -0.200008 & -1.6971 & 0.046996 \tabularnewline
43 & 0.037837 & 0.3211 & 0.374549 \tabularnewline
44 & -0.148329 & -1.2586 & 0.106117 \tabularnewline
45 & -0.078138 & -0.663 & 0.254717 \tabularnewline
46 & -0.135068 & -1.1461 & 0.127776 \tabularnewline
47 & -0.179683 & -1.5247 & 0.065862 \tabularnewline
48 & -0.163918 & -1.3909 & 0.084272 \tabularnewline
49 & -0.119647 & -1.0152 & 0.156696 \tabularnewline
50 & -0.197468 & -1.6756 & 0.04908 \tabularnewline
51 & -0.124398 & -1.0556 & 0.14735 \tabularnewline
52 & -0.182916 & -1.5521 & 0.062512 \tabularnewline
53 & -0.107246 & -0.91 & 0.182925 \tabularnewline
54 & -0.05616 & -0.4765 & 0.317569 \tabularnewline
55 & -0.182046 & -1.5447 & 0.0634 \tabularnewline
56 & -0.144432 & -1.2255 & 0.112182 \tabularnewline
57 & -0.138202 & -1.1727 & 0.122394 \tabularnewline
58 & -0.141042 & -1.1968 & 0.117659 \tabularnewline
59 & -0.100251 & -0.8507 & 0.198891 \tabularnewline
60 & -0.068251 & -0.5791 & 0.282155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32198&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]0.28832[/C][C]2.4465[/C][C]0.008435[/C][/ROW]
[ROW][C]2[/C][C]0.354557[/C][C]3.0085[/C][C]0.001808[/C][/ROW]
[ROW][C]3[/C][C]0.272162[/C][C]2.3094[/C][C]0.011897[/C][/ROW]
[ROW][C]4[/C][C]0.202916[/C][C]1.7218[/C][C]0.0447[/C][/ROW]
[ROW][C]5[/C][C]0.138081[/C][C]1.1717[/C][C]0.1226[/C][/ROW]
[ROW][C]6[/C][C]0.282368[/C][C]2.396[/C][C]0.009588[/C][/ROW]
[ROW][C]7[/C][C]0.09321[/C][C]0.7909[/C][C]0.215795[/C][/ROW]
[ROW][C]8[/C][C]0.251295[/C][C]2.1323[/C][C]0.018197[/C][/ROW]
[ROW][C]9[/C][C]0.317579[/C][C]2.6947[/C][C]0.004381[/C][/ROW]
[ROW][C]10[/C][C]0.214252[/C][C]1.818[/C][C]0.036613[/C][/ROW]
[ROW][C]11[/C][C]0.272046[/C][C]2.3084[/C][C]0.011926[/C][/ROW]
[ROW][C]12[/C][C]-0.076116[/C][C]-0.6459[/C][C]0.260209[/C][/ROW]
[ROW][C]13[/C][C]0.073063[/C][C]0.62[/C][C]0.268621[/C][/ROW]
[ROW][C]14[/C][C]0.086747[/C][C]0.7361[/C][C]0.232039[/C][/ROW]
[ROW][C]15[/C][C]0.04548[/C][C]0.3859[/C][C]0.350352[/C][/ROW]
[ROW][C]16[/C][C]0.066911[/C][C]0.5678[/C][C]0.285983[/C][/ROW]
[ROW][C]17[/C][C]0.201842[/C][C]1.7127[/C][C]0.045537[/C][/ROW]
[ROW][C]18[/C][C]0.055156[/C][C]0.468[/C][C]0.320593[/C][/ROW]
[ROW][C]19[/C][C]0.154632[/C][C]1.3121[/C][C]0.096828[/C][/ROW]
[ROW][C]20[/C][C]0.151171[/C][C]1.2827[/C][C]0.101851[/C][/ROW]
[ROW][C]21[/C][C]-0.034254[/C][C]-0.2907[/C][C]0.386076[/C][/ROW]
[ROW][C]22[/C][C]-0.089351[/C][C]-0.7582[/C][C]0.225414[/C][/ROW]
[ROW][C]23[/C][C]-0.000332[/C][C]-0.0028[/C][C]0.49888[/C][/ROW]
[ROW][C]24[/C][C]0.019968[/C][C]0.1694[/C][C]0.432966[/C][/ROW]
[ROW][C]25[/C][C]-0.031938[/C][C]-0.271[/C][C]0.393584[/C][/ROW]
[ROW][C]26[/C][C]0.098627[/C][C]0.8369[/C][C]0.202714[/C][/ROW]
[ROW][C]27[/C][C]0.005025[/C][C]0.0426[/C][C]0.483055[/C][/ROW]
[ROW][C]28[/C][C]0.037471[/C][C]0.3179[/C][C]0.375722[/C][/ROW]
[ROW][C]29[/C][C]0.017295[/C][C]0.1468[/C][C]0.441868[/C][/ROW]
[ROW][C]30[/C][C]0.003659[/C][C]0.031[/C][C]0.487659[/C][/ROW]
[ROW][C]31[/C][C]-0.114562[/C][C]-0.9721[/C][C]0.167129[/C][/ROW]
[ROW][C]32[/C][C]-0.059193[/C][C]-0.5023[/C][C]0.308507[/C][/ROW]
[ROW][C]33[/C][C]-0.080959[/C][C]-0.687[/C][C]0.247157[/C][/ROW]
[ROW][C]34[/C][C]0.036988[/C][C]0.3139[/C][C]0.377271[/C][/ROW]
[ROW][C]35[/C][C]-0.022727[/C][C]-0.1928[/C][C]0.423813[/C][/ROW]
[ROW][C]36[/C][C]-0.119825[/C][C]-1.0168[/C][C]0.156338[/C][/ROW]
[ROW][C]37[/C][C]0.008964[/C][C]0.0761[/C][C]0.469791[/C][/ROW]
[ROW][C]38[/C][C]-0.116712[/C][C]-0.9903[/C][C]0.162664[/C][/ROW]
[ROW][C]39[/C][C]-0.095996[/C][C]-0.8146[/C][C]0.209007[/C][/ROW]
[ROW][C]40[/C][C]-0.060308[/C][C]-0.5117[/C][C]0.305204[/C][/ROW]
[ROW][C]41[/C][C]-0.142621[/C][C]-1.2102[/C][C]0.115084[/C][/ROW]
[ROW][C]42[/C][C]-0.200008[/C][C]-1.6971[/C][C]0.046996[/C][/ROW]
[ROW][C]43[/C][C]0.037837[/C][C]0.3211[/C][C]0.374549[/C][/ROW]
[ROW][C]44[/C][C]-0.148329[/C][C]-1.2586[/C][C]0.106117[/C][/ROW]
[ROW][C]45[/C][C]-0.078138[/C][C]-0.663[/C][C]0.254717[/C][/ROW]
[ROW][C]46[/C][C]-0.135068[/C][C]-1.1461[/C][C]0.127776[/C][/ROW]
[ROW][C]47[/C][C]-0.179683[/C][C]-1.5247[/C][C]0.065862[/C][/ROW]
[ROW][C]48[/C][C]-0.163918[/C][C]-1.3909[/C][C]0.084272[/C][/ROW]
[ROW][C]49[/C][C]-0.119647[/C][C]-1.0152[/C][C]0.156696[/C][/ROW]
[ROW][C]50[/C][C]-0.197468[/C][C]-1.6756[/C][C]0.04908[/C][/ROW]
[ROW][C]51[/C][C]-0.124398[/C][C]-1.0556[/C][C]0.14735[/C][/ROW]
[ROW][C]52[/C][C]-0.182916[/C][C]-1.5521[/C][C]0.062512[/C][/ROW]
[ROW][C]53[/C][C]-0.107246[/C][C]-0.91[/C][C]0.182925[/C][/ROW]
[ROW][C]54[/C][C]-0.05616[/C][C]-0.4765[/C][C]0.317569[/C][/ROW]
[ROW][C]55[/C][C]-0.182046[/C][C]-1.5447[/C][C]0.0634[/C][/ROW]
[ROW][C]56[/C][C]-0.144432[/C][C]-1.2255[/C][C]0.112182[/C][/ROW]
[ROW][C]57[/C][C]-0.138202[/C][C]-1.1727[/C][C]0.122394[/C][/ROW]
[ROW][C]58[/C][C]-0.141042[/C][C]-1.1968[/C][C]0.117659[/C][/ROW]
[ROW][C]59[/C][C]-0.100251[/C][C]-0.8507[/C][C]0.198891[/C][/ROW]
[ROW][C]60[/C][C]-0.068251[/C][C]-0.5791[/C][C]0.282155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32198&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32198&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	0.28832	2.4465	0.008435
2	0.354557	3.0085	0.001808
3	0.272162	2.3094	0.011897
4	0.202916	1.7218	0.0447
5	0.138081	1.1717	0.1226
6	0.282368	2.396	0.009588
7	0.09321	0.7909	0.215795
8	0.251295	2.1323	0.018197
9	0.317579	2.6947	0.004381
10	0.214252	1.818	0.036613
11	0.272046	2.3084	0.011926
12	-0.076116	-0.6459	0.260209
13	0.073063	0.62	0.268621
14	0.086747	0.7361	0.232039
15	0.04548	0.3859	0.350352
16	0.066911	0.5678	0.285983
17	0.201842	1.7127	0.045537
18	0.055156	0.468	0.320593
19	0.154632	1.3121	0.096828
20	0.151171	1.2827	0.101851
21	-0.034254	-0.2907	0.386076
22	-0.089351	-0.7582	0.225414
23	-0.000332	-0.0028	0.49888
24	0.019968	0.1694	0.432966
25	-0.031938	-0.271	0.393584
26	0.098627	0.8369	0.202714
27	0.005025	0.0426	0.483055
28	0.037471	0.3179	0.375722
29	0.017295	0.1468	0.441868
30	0.003659	0.031	0.487659
31	-0.114562	-0.9721	0.167129
32	-0.059193	-0.5023	0.308507
33	-0.080959	-0.687	0.247157
34	0.036988	0.3139	0.377271
35	-0.022727	-0.1928	0.423813
36	-0.119825	-1.0168	0.156338
37	0.008964	0.0761	0.469791
38	-0.116712	-0.9903	0.162664
39	-0.095996	-0.8146	0.209007
40	-0.060308	-0.5117	0.305204
41	-0.142621	-1.2102	0.115084
42	-0.200008	-1.6971	0.046996
43	0.037837	0.3211	0.374549
44	-0.148329	-1.2586	0.106117
45	-0.078138	-0.663	0.254717
46	-0.135068	-1.1461	0.127776
47	-0.179683	-1.5247	0.065862
48	-0.163918	-1.3909	0.084272
49	-0.119647	-1.0152	0.156696
50	-0.197468	-1.6756	0.04908
51	-0.124398	-1.0556	0.14735
52	-0.182916	-1.5521	0.062512
53	-0.107246	-0.91	0.182925
54	-0.05616	-0.4765	0.317569
55	-0.182046	-1.5447	0.0634
56	-0.144432	-1.2255	0.112182
57	-0.138202	-1.1727	0.122394
58	-0.141042	-1.1968	0.117659
59	-0.100251	-0.8507	0.198891
60	-0.068251	-0.5791	0.282155

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.28832	2.4465	0.008435
2	0.296038	2.512	0.007124
3	0.137289	1.1649	0.123944
4	0.02933	0.2489	0.402085
5	-0.024793	-0.2104	0.416984
6	0.200667	1.7027	0.046468
7	-0.055334	-0.4695	0.320058
8	0.132648	1.1256	0.132046
9	0.224451	1.9045	0.030418
10	0.016623	0.1411	0.444112
11	0.078316	0.6645	0.254237
12	-0.419495	-3.5595	0.000331
13	0.029059	0.2466	0.402971
14	0.113053	0.9593	0.170312
15	-0.017903	-0.1519	0.43984
16	0.06498	0.5514	0.291542
17	0.046416	0.3939	0.347427
18	0.035278	0.2993	0.382769
19	-0.097494	-0.8273	0.205411
20	0.050105	0.4252	0.335995
21	-0.010745	-0.0912	0.463803
22	-0.20379	-1.7292	0.044028
23	0.118503	1.0055	0.159004
24	0.011285	0.0958	0.461991
25	-0.100517	-0.8529	0.198268
26	0.115811	0.9827	0.164526
27	-0.089233	-0.7572	0.225712
28	0.014079	0.1195	0.452619
29	-0.004141	-0.0351	0.486035
30	0.012447	0.1056	0.458089
31	-0.039211	-0.3327	0.370157
32	-0.008029	-0.0681	0.472938
33	0.026426	0.2242	0.411606
34	-0.055743	-0.473	0.318825
35	0.017559	0.149	0.440989
36	-0.170791	-1.4492	0.075811
37	-0.005653	-0.048	0.480937
38	0.026645	0.2261	0.410885
39	-0.016936	-0.1437	0.443066
40	0.035219	0.2988	0.38296
41	-0.064223	-0.5449	0.293736
42	-0.038072	-0.3231	0.373796
43	0.025803	0.2189	0.413654
44	-0.093433	-0.7928	0.215247
45	0.058616	0.4974	0.310221
46	-0.124107	-1.0531	0.147913
47	-0.012538	-0.1064	0.457784
48	-0.068193	-0.5786	0.282319
49	-0.01357	-0.1151	0.454325
50	0.035091	0.2978	0.383373
51	-0.060912	-0.5169	0.30342
52	-0.015561	-0.132	0.44766
53	0.028972	0.2458	0.403255
54	-0.011124	-0.0944	0.462532
55	0.032033	0.2718	0.393274
56	-0.037233	-0.3159	0.376485
57	0.00113	0.0096	0.496188
58	-0.015094	-0.1281	0.449224
59	0.03319	0.2816	0.389517
60	-0.014278	-0.1212	0.451954

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.28832 & 2.4465 & 0.008435 \tabularnewline
2 & 0.296038 & 2.512 & 0.007124 \tabularnewline
3 & 0.137289 & 1.1649 & 0.123944 \tabularnewline
4 & 0.02933 & 0.2489 & 0.402085 \tabularnewline
5 & -0.024793 & -0.2104 & 0.416984 \tabularnewline
6 & 0.200667 & 1.7027 & 0.046468 \tabularnewline
7 & -0.055334 & -0.4695 & 0.320058 \tabularnewline
8 & 0.132648 & 1.1256 & 0.132046 \tabularnewline
9 & 0.224451 & 1.9045 & 0.030418 \tabularnewline
10 & 0.016623 & 0.1411 & 0.444112 \tabularnewline
11 & 0.078316 & 0.6645 & 0.254237 \tabularnewline
12 & -0.419495 & -3.5595 & 0.000331 \tabularnewline
13 & 0.029059 & 0.2466 & 0.402971 \tabularnewline
14 & 0.113053 & 0.9593 & 0.170312 \tabularnewline
15 & -0.017903 & -0.1519 & 0.43984 \tabularnewline
16 & 0.06498 & 0.5514 & 0.291542 \tabularnewline
17 & 0.046416 & 0.3939 & 0.347427 \tabularnewline
18 & 0.035278 & 0.2993 & 0.382769 \tabularnewline
19 & -0.097494 & -0.8273 & 0.205411 \tabularnewline
20 & 0.050105 & 0.4252 & 0.335995 \tabularnewline
21 & -0.010745 & -0.0912 & 0.463803 \tabularnewline
22 & -0.20379 & -1.7292 & 0.044028 \tabularnewline
23 & 0.118503 & 1.0055 & 0.159004 \tabularnewline
24 & 0.011285 & 0.0958 & 0.461991 \tabularnewline
25 & -0.100517 & -0.8529 & 0.198268 \tabularnewline
26 & 0.115811 & 0.9827 & 0.164526 \tabularnewline
27 & -0.089233 & -0.7572 & 0.225712 \tabularnewline
28 & 0.014079 & 0.1195 & 0.452619 \tabularnewline
29 & -0.004141 & -0.0351 & 0.486035 \tabularnewline
30 & 0.012447 & 0.1056 & 0.458089 \tabularnewline
31 & -0.039211 & -0.3327 & 0.370157 \tabularnewline
32 & -0.008029 & -0.0681 & 0.472938 \tabularnewline
33 & 0.026426 & 0.2242 & 0.411606 \tabularnewline
34 & -0.055743 & -0.473 & 0.318825 \tabularnewline
35 & 0.017559 & 0.149 & 0.440989 \tabularnewline
36 & -0.170791 & -1.4492 & 0.075811 \tabularnewline
37 & -0.005653 & -0.048 & 0.480937 \tabularnewline
38 & 0.026645 & 0.2261 & 0.410885 \tabularnewline
39 & -0.016936 & -0.1437 & 0.443066 \tabularnewline
40 & 0.035219 & 0.2988 & 0.38296 \tabularnewline
41 & -0.064223 & -0.5449 & 0.293736 \tabularnewline
42 & -0.038072 & -0.3231 & 0.373796 \tabularnewline
43 & 0.025803 & 0.2189 & 0.413654 \tabularnewline
44 & -0.093433 & -0.7928 & 0.215247 \tabularnewline
45 & 0.058616 & 0.4974 & 0.310221 \tabularnewline
46 & -0.124107 & -1.0531 & 0.147913 \tabularnewline
47 & -0.012538 & -0.1064 & 0.457784 \tabularnewline
48 & -0.068193 & -0.5786 & 0.282319 \tabularnewline
49 & -0.01357 & -0.1151 & 0.454325 \tabularnewline
50 & 0.035091 & 0.2978 & 0.383373 \tabularnewline
51 & -0.060912 & -0.5169 & 0.30342 \tabularnewline
52 & -0.015561 & -0.132 & 0.44766 \tabularnewline
53 & 0.028972 & 0.2458 & 0.403255 \tabularnewline
54 & -0.011124 & -0.0944 & 0.462532 \tabularnewline
55 & 0.032033 & 0.2718 & 0.393274 \tabularnewline
56 & -0.037233 & -0.3159 & 0.376485 \tabularnewline
57 & 0.00113 & 0.0096 & 0.496188 \tabularnewline
58 & -0.015094 & -0.1281 & 0.449224 \tabularnewline
59 & 0.03319 & 0.2816 & 0.389517 \tabularnewline
60 & -0.014278 & -0.1212 & 0.451954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32198&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]0.28832[/C][C]2.4465[/C][C]0.008435[/C][/ROW]
[ROW][C]2[/C][C]0.296038[/C][C]2.512[/C][C]0.007124[/C][/ROW]
[ROW][C]3[/C][C]0.137289[/C][C]1.1649[/C][C]0.123944[/C][/ROW]
[ROW][C]4[/C][C]0.02933[/C][C]0.2489[/C][C]0.402085[/C][/ROW]
[ROW][C]5[/C][C]-0.024793[/C][C]-0.2104[/C][C]0.416984[/C][/ROW]
[ROW][C]6[/C][C]0.200667[/C][C]1.7027[/C][C]0.046468[/C][/ROW]
[ROW][C]7[/C][C]-0.055334[/C][C]-0.4695[/C][C]0.320058[/C][/ROW]
[ROW][C]8[/C][C]0.132648[/C][C]1.1256[/C][C]0.132046[/C][/ROW]
[ROW][C]9[/C][C]0.224451[/C][C]1.9045[/C][C]0.030418[/C][/ROW]
[ROW][C]10[/C][C]0.016623[/C][C]0.1411[/C][C]0.444112[/C][/ROW]
[ROW][C]11[/C][C]0.078316[/C][C]0.6645[/C][C]0.254237[/C][/ROW]
[ROW][C]12[/C][C]-0.419495[/C][C]-3.5595[/C][C]0.000331[/C][/ROW]
[ROW][C]13[/C][C]0.029059[/C][C]0.2466[/C][C]0.402971[/C][/ROW]
[ROW][C]14[/C][C]0.113053[/C][C]0.9593[/C][C]0.170312[/C][/ROW]
[ROW][C]15[/C][C]-0.017903[/C][C]-0.1519[/C][C]0.43984[/C][/ROW]
[ROW][C]16[/C][C]0.06498[/C][C]0.5514[/C][C]0.291542[/C][/ROW]
[ROW][C]17[/C][C]0.046416[/C][C]0.3939[/C][C]0.347427[/C][/ROW]
[ROW][C]18[/C][C]0.035278[/C][C]0.2993[/C][C]0.382769[/C][/ROW]
[ROW][C]19[/C][C]-0.097494[/C][C]-0.8273[/C][C]0.205411[/C][/ROW]
[ROW][C]20[/C][C]0.050105[/C][C]0.4252[/C][C]0.335995[/C][/ROW]
[ROW][C]21[/C][C]-0.010745[/C][C]-0.0912[/C][C]0.463803[/C][/ROW]
[ROW][C]22[/C][C]-0.20379[/C][C]-1.7292[/C][C]0.044028[/C][/ROW]
[ROW][C]23[/C][C]0.118503[/C][C]1.0055[/C][C]0.159004[/C][/ROW]
[ROW][C]24[/C][C]0.011285[/C][C]0.0958[/C][C]0.461991[/C][/ROW]
[ROW][C]25[/C][C]-0.100517[/C][C]-0.8529[/C][C]0.198268[/C][/ROW]
[ROW][C]26[/C][C]0.115811[/C][C]0.9827[/C][C]0.164526[/C][/ROW]
[ROW][C]27[/C][C]-0.089233[/C][C]-0.7572[/C][C]0.225712[/C][/ROW]
[ROW][C]28[/C][C]0.014079[/C][C]0.1195[/C][C]0.452619[/C][/ROW]
[ROW][C]29[/C][C]-0.004141[/C][C]-0.0351[/C][C]0.486035[/C][/ROW]
[ROW][C]30[/C][C]0.012447[/C][C]0.1056[/C][C]0.458089[/C][/ROW]
[ROW][C]31[/C][C]-0.039211[/C][C]-0.3327[/C][C]0.370157[/C][/ROW]
[ROW][C]32[/C][C]-0.008029[/C][C]-0.0681[/C][C]0.472938[/C][/ROW]
[ROW][C]33[/C][C]0.026426[/C][C]0.2242[/C][C]0.411606[/C][/ROW]
[ROW][C]34[/C][C]-0.055743[/C][C]-0.473[/C][C]0.318825[/C][/ROW]
[ROW][C]35[/C][C]0.017559[/C][C]0.149[/C][C]0.440989[/C][/ROW]
[ROW][C]36[/C][C]-0.170791[/C][C]-1.4492[/C][C]0.075811[/C][/ROW]
[ROW][C]37[/C][C]-0.005653[/C][C]-0.048[/C][C]0.480937[/C][/ROW]
[ROW][C]38[/C][C]0.026645[/C][C]0.2261[/C][C]0.410885[/C][/ROW]
[ROW][C]39[/C][C]-0.016936[/C][C]-0.1437[/C][C]0.443066[/C][/ROW]
[ROW][C]40[/C][C]0.035219[/C][C]0.2988[/C][C]0.38296[/C][/ROW]
[ROW][C]41[/C][C]-0.064223[/C][C]-0.5449[/C][C]0.293736[/C][/ROW]
[ROW][C]42[/C][C]-0.038072[/C][C]-0.3231[/C][C]0.373796[/C][/ROW]
[ROW][C]43[/C][C]0.025803[/C][C]0.2189[/C][C]0.413654[/C][/ROW]
[ROW][C]44[/C][C]-0.093433[/C][C]-0.7928[/C][C]0.215247[/C][/ROW]
[ROW][C]45[/C][C]0.058616[/C][C]0.4974[/C][C]0.310221[/C][/ROW]
[ROW][C]46[/C][C]-0.124107[/C][C]-1.0531[/C][C]0.147913[/C][/ROW]
[ROW][C]47[/C][C]-0.012538[/C][C]-0.1064[/C][C]0.457784[/C][/ROW]
[ROW][C]48[/C][C]-0.068193[/C][C]-0.5786[/C][C]0.282319[/C][/ROW]
[ROW][C]49[/C][C]-0.01357[/C][C]-0.1151[/C][C]0.454325[/C][/ROW]
[ROW][C]50[/C][C]0.035091[/C][C]0.2978[/C][C]0.383373[/C][/ROW]
[ROW][C]51[/C][C]-0.060912[/C][C]-0.5169[/C][C]0.30342[/C][/ROW]
[ROW][C]52[/C][C]-0.015561[/C][C]-0.132[/C][C]0.44766[/C][/ROW]
[ROW][C]53[/C][C]0.028972[/C][C]0.2458[/C][C]0.403255[/C][/ROW]
[ROW][C]54[/C][C]-0.011124[/C][C]-0.0944[/C][C]0.462532[/C][/ROW]
[ROW][C]55[/C][C]0.032033[/C][C]0.2718[/C][C]0.393274[/C][/ROW]
[ROW][C]56[/C][C]-0.037233[/C][C]-0.3159[/C][C]0.376485[/C][/ROW]
[ROW][C]57[/C][C]0.00113[/C][C]0.0096[/C][C]0.496188[/C][/ROW]
[ROW][C]58[/C][C]-0.015094[/C][C]-0.1281[/C][C]0.449224[/C][/ROW]
[ROW][C]59[/C][C]0.03319[/C][C]0.2816[/C][C]0.389517[/C][/ROW]
[ROW][C]60[/C][C]-0.014278[/C][C]-0.1212[/C][C]0.451954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32198&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32198&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	0.28832	2.4465	0.008435
2	0.296038	2.512	0.007124
3	0.137289	1.1649	0.123944
4	0.02933	0.2489	0.402085
5	-0.024793	-0.2104	0.416984
6	0.200667	1.7027	0.046468
7	-0.055334	-0.4695	0.320058
8	0.132648	1.1256	0.132046
9	0.224451	1.9045	0.030418
10	0.016623	0.1411	0.444112
11	0.078316	0.6645	0.254237
12	-0.419495	-3.5595	0.000331
13	0.029059	0.2466	0.402971
14	0.113053	0.9593	0.170312
15	-0.017903	-0.1519	0.43984
16	0.06498	0.5514	0.291542
17	0.046416	0.3939	0.347427
18	0.035278	0.2993	0.382769
19	-0.097494	-0.8273	0.205411
20	0.050105	0.4252	0.335995
21	-0.010745	-0.0912	0.463803
22	-0.20379	-1.7292	0.044028
23	0.118503	1.0055	0.159004
24	0.011285	0.0958	0.461991
25	-0.100517	-0.8529	0.198268
26	0.115811	0.9827	0.164526
27	-0.089233	-0.7572	0.225712
28	0.014079	0.1195	0.452619
29	-0.004141	-0.0351	0.486035
30	0.012447	0.1056	0.458089
31	-0.039211	-0.3327	0.370157
32	-0.008029	-0.0681	0.472938
33	0.026426	0.2242	0.411606
34	-0.055743	-0.473	0.318825
35	0.017559	0.149	0.440989
36	-0.170791	-1.4492	0.075811
37	-0.005653	-0.048	0.480937
38	0.026645	0.2261	0.410885
39	-0.016936	-0.1437	0.443066
40	0.035219	0.2988	0.38296
41	-0.064223	-0.5449	0.293736
42	-0.038072	-0.3231	0.373796
43	0.025803	0.2189	0.413654
44	-0.093433	-0.7928	0.215247
45	0.058616	0.4974	0.310221
46	-0.124107	-1.0531	0.147913
47	-0.012538	-0.1064	0.457784
48	-0.068193	-0.5786	0.282319
49	-0.01357	-0.1151	0.454325
50	0.035091	0.2978	0.383373
51	-0.060912	-0.5169	0.30342
52	-0.015561	-0.132	0.44766
53	0.028972	0.2458	0.403255
54	-0.011124	-0.0944	0.462532
55	0.032033	0.2718	0.393274
56	-0.037233	-0.3159	0.376485
57	0.00113	0.0096	0.496188
58	-0.015094	-0.1281	0.449224
59	0.03319	0.2816	0.389517
60	-0.014278	-0.1212	0.451954

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;

Parameters (R input):

par1 = 60 ; 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 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