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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 27 Dec 2009 07:17:25 -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/2009/Dec/27/t1261923488p5zewujqo5u33xt.htm/, Retrieved Fri, 03 May 2024 01:30:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70897, Retrieved Fri, 03 May 2024 01:30:16 +0000

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User-defined keywords

Estimated Impact

121

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

-     [(Partial) Autocorrelation Function] [ACF inschrijvingen] [2009-12-27 14:01:24] [005293453b571dbccb80b45226e44173]
-   P   [(Partial) Autocorrelation Function] [acf inschrijvingen] [2009-12-27 14:05:38] [005293453b571dbccb80b45226e44173]
-   P     [(Partial) Autocorrelation Function] [acf inschrijvingen] [2009-12-27 14:09:06] [005293453b571dbccb80b45226e44173]
-   PD      [(Partial) Autocorrelation Function] [acf wlh] [2009-12-27 14:12:12] [005293453b571dbccb80b45226e44173]
-   P         [(Partial) Autocorrelation Function] [acf wlh] [2009-12-27 14:14:34] [005293453b571dbccb80b45226e44173]
-   P             [(Partial) Autocorrelation Function] [acf wlh] [2009-12-27 14:17:25] [b02b8a83db8a631da1ab9c106b4cdcf2] [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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70897&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70897&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70897&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	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.125846	0.8628	0.196327
2	0.223065	1.5293	0.066452
3	0.336438	2.3065	0.012769
4	0.20508	1.406	0.083156
5	0.10893	0.7468	0.229455
6	0.163173	1.1187	0.134486
7	0.030884	0.2117	0.416617
8	0.176535	1.2103	0.116115
9	0.061716	0.4231	0.337074
10	-0.066283	-0.4544	0.325813
11	0.320539	2.1975	0.016474
12	-0.059544	-0.4082	0.342485
13	-0.048097	-0.3297	0.371532
14	0.135031	0.9257	0.179659
15	0.035486	0.2433	0.404424
16	-0.017791	-0.122	0.451721
17	0.080232	0.55	0.292447
18	-0.126795	-0.8693	0.19456
19	0.0415	0.2845	0.388635
20	-0.071329	-0.489	0.313557
21	-0.246204	-1.6879	0.049029
22	-0.054843	-0.376	0.354311
23	-0.087957	-0.603	0.274703
24	-0.240316	-1.6475	0.05306
25	-0.13271	-0.9098	0.183781
26	-0.14313	-0.9813	0.165747
27	-0.21592	-1.4803	0.072737
28	-0.140765	-0.965	0.169733
29	-0.136402	-0.9351	0.177251
30	-0.106295	-0.7287	0.234893
31	-0.027049	-0.1854	0.42684
32	-0.160088	-1.0975	0.139005
33	0.001867	0.0128	0.494921
34	-0.000209	-0.0014	0.499431
35	-0.049016	-0.336	0.369168
36	-0.045874	-0.3145	0.377268
37	-0.063742	-0.437	0.332058
38	-0.054171	-0.3714	0.356013
39	-0.050211	-0.3442	0.366106
40	-0.052964	-0.3631	0.359078
41	-0.081946	-0.5618	0.288463
42	-0.011192	-0.0767	0.469583
43	-0.03006	-0.2061	0.418809
44	-0.014797	-0.1014	0.459816
45	0.005613	0.0385	0.484734
46	-0.016233	-0.1113	0.455932
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.125846 & 0.8628 & 0.196327 \tabularnewline
2 & 0.223065 & 1.5293 & 0.066452 \tabularnewline
3 & 0.336438 & 2.3065 & 0.012769 \tabularnewline
4 & 0.20508 & 1.406 & 0.083156 \tabularnewline
5 & 0.10893 & 0.7468 & 0.229455 \tabularnewline
6 & 0.163173 & 1.1187 & 0.134486 \tabularnewline
7 & 0.030884 & 0.2117 & 0.416617 \tabularnewline
8 & 0.176535 & 1.2103 & 0.116115 \tabularnewline
9 & 0.061716 & 0.4231 & 0.337074 \tabularnewline
10 & -0.066283 & -0.4544 & 0.325813 \tabularnewline
11 & 0.320539 & 2.1975 & 0.016474 \tabularnewline
12 & -0.059544 & -0.4082 & 0.342485 \tabularnewline
13 & -0.048097 & -0.3297 & 0.371532 \tabularnewline
14 & 0.135031 & 0.9257 & 0.179659 \tabularnewline
15 & 0.035486 & 0.2433 & 0.404424 \tabularnewline
16 & -0.017791 & -0.122 & 0.451721 \tabularnewline
17 & 0.080232 & 0.55 & 0.292447 \tabularnewline
18 & -0.126795 & -0.8693 & 0.19456 \tabularnewline
19 & 0.0415 & 0.2845 & 0.388635 \tabularnewline
20 & -0.071329 & -0.489 & 0.313557 \tabularnewline
21 & -0.246204 & -1.6879 & 0.049029 \tabularnewline
22 & -0.054843 & -0.376 & 0.354311 \tabularnewline
23 & -0.087957 & -0.603 & 0.274703 \tabularnewline
24 & -0.240316 & -1.6475 & 0.05306 \tabularnewline
25 & -0.13271 & -0.9098 & 0.183781 \tabularnewline
26 & -0.14313 & -0.9813 & 0.165747 \tabularnewline
27 & -0.21592 & -1.4803 & 0.072737 \tabularnewline
28 & -0.140765 & -0.965 & 0.169733 \tabularnewline
29 & -0.136402 & -0.9351 & 0.177251 \tabularnewline
30 & -0.106295 & -0.7287 & 0.234893 \tabularnewline
31 & -0.027049 & -0.1854 & 0.42684 \tabularnewline
32 & -0.160088 & -1.0975 & 0.139005 \tabularnewline
33 & 0.001867 & 0.0128 & 0.494921 \tabularnewline
34 & -0.000209 & -0.0014 & 0.499431 \tabularnewline
35 & -0.049016 & -0.336 & 0.369168 \tabularnewline
36 & -0.045874 & -0.3145 & 0.377268 \tabularnewline
37 & -0.063742 & -0.437 & 0.332058 \tabularnewline
38 & -0.054171 & -0.3714 & 0.356013 \tabularnewline
39 & -0.050211 & -0.3442 & 0.366106 \tabularnewline
40 & -0.052964 & -0.3631 & 0.359078 \tabularnewline
41 & -0.081946 & -0.5618 & 0.288463 \tabularnewline
42 & -0.011192 & -0.0767 & 0.469583 \tabularnewline
43 & -0.03006 & -0.2061 & 0.418809 \tabularnewline
44 & -0.014797 & -0.1014 & 0.459816 \tabularnewline
45 & 0.005613 & 0.0385 & 0.484734 \tabularnewline
46 & -0.016233 & -0.1113 & 0.455932 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70897&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]0.125846[/C][C]0.8628[/C][C]0.196327[/C][/ROW]
[ROW][C]2[/C][C]0.223065[/C][C]1.5293[/C][C]0.066452[/C][/ROW]
[ROW][C]3[/C][C]0.336438[/C][C]2.3065[/C][C]0.012769[/C][/ROW]
[ROW][C]4[/C][C]0.20508[/C][C]1.406[/C][C]0.083156[/C][/ROW]
[ROW][C]5[/C][C]0.10893[/C][C]0.7468[/C][C]0.229455[/C][/ROW]
[ROW][C]6[/C][C]0.163173[/C][C]1.1187[/C][C]0.134486[/C][/ROW]
[ROW][C]7[/C][C]0.030884[/C][C]0.2117[/C][C]0.416617[/C][/ROW]
[ROW][C]8[/C][C]0.176535[/C][C]1.2103[/C][C]0.116115[/C][/ROW]
[ROW][C]9[/C][C]0.061716[/C][C]0.4231[/C][C]0.337074[/C][/ROW]
[ROW][C]10[/C][C]-0.066283[/C][C]-0.4544[/C][C]0.325813[/C][/ROW]
[ROW][C]11[/C][C]0.320539[/C][C]2.1975[/C][C]0.016474[/C][/ROW]
[ROW][C]12[/C][C]-0.059544[/C][C]-0.4082[/C][C]0.342485[/C][/ROW]
[ROW][C]13[/C][C]-0.048097[/C][C]-0.3297[/C][C]0.371532[/C][/ROW]
[ROW][C]14[/C][C]0.135031[/C][C]0.9257[/C][C]0.179659[/C][/ROW]
[ROW][C]15[/C][C]0.035486[/C][C]0.2433[/C][C]0.404424[/C][/ROW]
[ROW][C]16[/C][C]-0.017791[/C][C]-0.122[/C][C]0.451721[/C][/ROW]
[ROW][C]17[/C][C]0.080232[/C][C]0.55[/C][C]0.292447[/C][/ROW]
[ROW][C]18[/C][C]-0.126795[/C][C]-0.8693[/C][C]0.19456[/C][/ROW]
[ROW][C]19[/C][C]0.0415[/C][C]0.2845[/C][C]0.388635[/C][/ROW]
[ROW][C]20[/C][C]-0.071329[/C][C]-0.489[/C][C]0.313557[/C][/ROW]
[ROW][C]21[/C][C]-0.246204[/C][C]-1.6879[/C][C]0.049029[/C][/ROW]
[ROW][C]22[/C][C]-0.054843[/C][C]-0.376[/C][C]0.354311[/C][/ROW]
[ROW][C]23[/C][C]-0.087957[/C][C]-0.603[/C][C]0.274703[/C][/ROW]
[ROW][C]24[/C][C]-0.240316[/C][C]-1.6475[/C][C]0.05306[/C][/ROW]
[ROW][C]25[/C][C]-0.13271[/C][C]-0.9098[/C][C]0.183781[/C][/ROW]
[ROW][C]26[/C][C]-0.14313[/C][C]-0.9813[/C][C]0.165747[/C][/ROW]
[ROW][C]27[/C][C]-0.21592[/C][C]-1.4803[/C][C]0.072737[/C][/ROW]
[ROW][C]28[/C][C]-0.140765[/C][C]-0.965[/C][C]0.169733[/C][/ROW]
[ROW][C]29[/C][C]-0.136402[/C][C]-0.9351[/C][C]0.177251[/C][/ROW]
[ROW][C]30[/C][C]-0.106295[/C][C]-0.7287[/C][C]0.234893[/C][/ROW]
[ROW][C]31[/C][C]-0.027049[/C][C]-0.1854[/C][C]0.42684[/C][/ROW]
[ROW][C]32[/C][C]-0.160088[/C][C]-1.0975[/C][C]0.139005[/C][/ROW]
[ROW][C]33[/C][C]0.001867[/C][C]0.0128[/C][C]0.494921[/C][/ROW]
[ROW][C]34[/C][C]-0.000209[/C][C]-0.0014[/C][C]0.499431[/C][/ROW]
[ROW][C]35[/C][C]-0.049016[/C][C]-0.336[/C][C]0.369168[/C][/ROW]
[ROW][C]36[/C][C]-0.045874[/C][C]-0.3145[/C][C]0.377268[/C][/ROW]
[ROW][C]37[/C][C]-0.063742[/C][C]-0.437[/C][C]0.332058[/C][/ROW]
[ROW][C]38[/C][C]-0.054171[/C][C]-0.3714[/C][C]0.356013[/C][/ROW]
[ROW][C]39[/C][C]-0.050211[/C][C]-0.3442[/C][C]0.366106[/C][/ROW]
[ROW][C]40[/C][C]-0.052964[/C][C]-0.3631[/C][C]0.359078[/C][/ROW]
[ROW][C]41[/C][C]-0.081946[/C][C]-0.5618[/C][C]0.288463[/C][/ROW]
[ROW][C]42[/C][C]-0.011192[/C][C]-0.0767[/C][C]0.469583[/C][/ROW]
[ROW][C]43[/C][C]-0.03006[/C][C]-0.2061[/C][C]0.418809[/C][/ROW]
[ROW][C]44[/C][C]-0.014797[/C][C]-0.1014[/C][C]0.459816[/C][/ROW]
[ROW][C]45[/C][C]0.005613[/C][C]0.0385[/C][C]0.484734[/C][/ROW]
[ROW][C]46[/C][C]-0.016233[/C][C]-0.1113[/C][C]0.455932[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70897&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70897&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	0.125846	0.8628	0.196327
2	0.223065	1.5293	0.066452
3	0.336438	2.3065	0.012769
4	0.20508	1.406	0.083156
5	0.10893	0.7468	0.229455
6	0.163173	1.1187	0.134486
7	0.030884	0.2117	0.416617
8	0.176535	1.2103	0.116115
9	0.061716	0.4231	0.337074
10	-0.066283	-0.4544	0.325813
11	0.320539	2.1975	0.016474
12	-0.059544	-0.4082	0.342485
13	-0.048097	-0.3297	0.371532
14	0.135031	0.9257	0.179659
15	0.035486	0.2433	0.404424
16	-0.017791	-0.122	0.451721
17	0.080232	0.55	0.292447
18	-0.126795	-0.8693	0.19456
19	0.0415	0.2845	0.388635
20	-0.071329	-0.489	0.313557
21	-0.246204	-1.6879	0.049029
22	-0.054843	-0.376	0.354311
23	-0.087957	-0.603	0.274703
24	-0.240316	-1.6475	0.05306
25	-0.13271	-0.9098	0.183781
26	-0.14313	-0.9813	0.165747
27	-0.21592	-1.4803	0.072737
28	-0.140765	-0.965	0.169733
29	-0.136402	-0.9351	0.177251
30	-0.106295	-0.7287	0.234893
31	-0.027049	-0.1854	0.42684
32	-0.160088	-1.0975	0.139005
33	0.001867	0.0128	0.494921
34	-0.000209	-0.0014	0.499431
35	-0.049016	-0.336	0.369168
36	-0.045874	-0.3145	0.377268
37	-0.063742	-0.437	0.332058
38	-0.054171	-0.3714	0.356013
39	-0.050211	-0.3442	0.366106
40	-0.052964	-0.3631	0.359078
41	-0.081946	-0.5618	0.288463
42	-0.011192	-0.0767	0.469583
43	-0.03006	-0.2061	0.418809
44	-0.014797	-0.1014	0.459816
45	0.005613	0.0385	0.484734
46	-0.016233	-0.1113	0.455932
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.125846	0.8628	0.196327
2	0.210563	1.4435	0.07775
3	0.305976	2.0977	0.02067
4	0.134476	0.9219	0.180639
5	-0.03152	-0.2161	0.414926
6	0.00055	0.0038	0.498504
7	-0.104938	-0.7194	0.237723
8	0.119794	0.8213	0.20782
9	0.014528	0.0996	0.460543
10	-0.136609	-0.9365	0.176891
11	0.301106	2.0643	0.022268
12	-0.141058	-0.967	0.169235
13	-0.10366	-0.7107	0.240405
14	0.0393	0.2694	0.394391
15	0.017723	0.1215	0.451905
16	0.039365	0.2699	0.394219
17	0.003624	0.0248	0.490142
18	-0.146526	-1.0045	0.160133
19	-0.024422	-0.1674	0.433877
20	-0.090175	-0.6182	0.269711
21	-0.152889	-1.0482	0.149963
22	-0.115781	-0.7938	0.215665
23	0.078377	0.5373	0.296789
24	-0.025923	-0.1777	0.429854
25	-0.128948	-0.884	0.190591
26	-0.044528	-0.3053	0.380754
27	-0.092919	-0.637	0.263602
28	-0.073362	-0.5029	0.308675
29	0.150961	1.0349	0.152997
30	-0.007451	-0.0511	0.47974
31	0.095627	0.6556	0.257643
32	0.015942	0.1093	0.456718
33	0.033302	0.2283	0.4102
34	-0.037056	-0.254	0.400285
35	0.099237	0.6803	0.249816
36	0.030276	0.2076	0.418235
37	-0.121223	-0.8311	0.205071
38	0.044928	0.308	0.379718
39	-0.041436	-0.2841	0.388801
40	-0.064813	-0.4443	0.32942
41	0.013867	0.0951	0.462333
42	-0.071892	-0.4929	0.312201
43	0.067719	0.4643	0.322302
44	0.010968	0.0752	0.470189
45	-0.044742	-0.3067	0.380201
46	-0.143393	-0.9831	0.165308
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.125846 & 0.8628 & 0.196327 \tabularnewline
2 & 0.210563 & 1.4435 & 0.07775 \tabularnewline
3 & 0.305976 & 2.0977 & 0.02067 \tabularnewline
4 & 0.134476 & 0.9219 & 0.180639 \tabularnewline
5 & -0.03152 & -0.2161 & 0.414926 \tabularnewline
6 & 0.00055 & 0.0038 & 0.498504 \tabularnewline
7 & -0.104938 & -0.7194 & 0.237723 \tabularnewline
8 & 0.119794 & 0.8213 & 0.20782 \tabularnewline
9 & 0.014528 & 0.0996 & 0.460543 \tabularnewline
10 & -0.136609 & -0.9365 & 0.176891 \tabularnewline
11 & 0.301106 & 2.0643 & 0.022268 \tabularnewline
12 & -0.141058 & -0.967 & 0.169235 \tabularnewline
13 & -0.10366 & -0.7107 & 0.240405 \tabularnewline
14 & 0.0393 & 0.2694 & 0.394391 \tabularnewline
15 & 0.017723 & 0.1215 & 0.451905 \tabularnewline
16 & 0.039365 & 0.2699 & 0.394219 \tabularnewline
17 & 0.003624 & 0.0248 & 0.490142 \tabularnewline
18 & -0.146526 & -1.0045 & 0.160133 \tabularnewline
19 & -0.024422 & -0.1674 & 0.433877 \tabularnewline
20 & -0.090175 & -0.6182 & 0.269711 \tabularnewline
21 & -0.152889 & -1.0482 & 0.149963 \tabularnewline
22 & -0.115781 & -0.7938 & 0.215665 \tabularnewline
23 & 0.078377 & 0.5373 & 0.296789 \tabularnewline
24 & -0.025923 & -0.1777 & 0.429854 \tabularnewline
25 & -0.128948 & -0.884 & 0.190591 \tabularnewline
26 & -0.044528 & -0.3053 & 0.380754 \tabularnewline
27 & -0.092919 & -0.637 & 0.263602 \tabularnewline
28 & -0.073362 & -0.5029 & 0.308675 \tabularnewline
29 & 0.150961 & 1.0349 & 0.152997 \tabularnewline
30 & -0.007451 & -0.0511 & 0.47974 \tabularnewline
31 & 0.095627 & 0.6556 & 0.257643 \tabularnewline
32 & 0.015942 & 0.1093 & 0.456718 \tabularnewline
33 & 0.033302 & 0.2283 & 0.4102 \tabularnewline
34 & -0.037056 & -0.254 & 0.400285 \tabularnewline
35 & 0.099237 & 0.6803 & 0.249816 \tabularnewline
36 & 0.030276 & 0.2076 & 0.418235 \tabularnewline
37 & -0.121223 & -0.8311 & 0.205071 \tabularnewline
38 & 0.044928 & 0.308 & 0.379718 \tabularnewline
39 & -0.041436 & -0.2841 & 0.388801 \tabularnewline
40 & -0.064813 & -0.4443 & 0.32942 \tabularnewline
41 & 0.013867 & 0.0951 & 0.462333 \tabularnewline
42 & -0.071892 & -0.4929 & 0.312201 \tabularnewline
43 & 0.067719 & 0.4643 & 0.322302 \tabularnewline
44 & 0.010968 & 0.0752 & 0.470189 \tabularnewline
45 & -0.044742 & -0.3067 & 0.380201 \tabularnewline
46 & -0.143393 & -0.9831 & 0.165308 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70897&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]0.125846[/C][C]0.8628[/C][C]0.196327[/C][/ROW]
[ROW][C]2[/C][C]0.210563[/C][C]1.4435[/C][C]0.07775[/C][/ROW]
[ROW][C]3[/C][C]0.305976[/C][C]2.0977[/C][C]0.02067[/C][/ROW]
[ROW][C]4[/C][C]0.134476[/C][C]0.9219[/C][C]0.180639[/C][/ROW]
[ROW][C]5[/C][C]-0.03152[/C][C]-0.2161[/C][C]0.414926[/C][/ROW]
[ROW][C]6[/C][C]0.00055[/C][C]0.0038[/C][C]0.498504[/C][/ROW]
[ROW][C]7[/C][C]-0.104938[/C][C]-0.7194[/C][C]0.237723[/C][/ROW]
[ROW][C]8[/C][C]0.119794[/C][C]0.8213[/C][C]0.20782[/C][/ROW]
[ROW][C]9[/C][C]0.014528[/C][C]0.0996[/C][C]0.460543[/C][/ROW]
[ROW][C]10[/C][C]-0.136609[/C][C]-0.9365[/C][C]0.176891[/C][/ROW]
[ROW][C]11[/C][C]0.301106[/C][C]2.0643[/C][C]0.022268[/C][/ROW]
[ROW][C]12[/C][C]-0.141058[/C][C]-0.967[/C][C]0.169235[/C][/ROW]
[ROW][C]13[/C][C]-0.10366[/C][C]-0.7107[/C][C]0.240405[/C][/ROW]
[ROW][C]14[/C][C]0.0393[/C][C]0.2694[/C][C]0.394391[/C][/ROW]
[ROW][C]15[/C][C]0.017723[/C][C]0.1215[/C][C]0.451905[/C][/ROW]
[ROW][C]16[/C][C]0.039365[/C][C]0.2699[/C][C]0.394219[/C][/ROW]
[ROW][C]17[/C][C]0.003624[/C][C]0.0248[/C][C]0.490142[/C][/ROW]
[ROW][C]18[/C][C]-0.146526[/C][C]-1.0045[/C][C]0.160133[/C][/ROW]
[ROW][C]19[/C][C]-0.024422[/C][C]-0.1674[/C][C]0.433877[/C][/ROW]
[ROW][C]20[/C][C]-0.090175[/C][C]-0.6182[/C][C]0.269711[/C][/ROW]
[ROW][C]21[/C][C]-0.152889[/C][C]-1.0482[/C][C]0.149963[/C][/ROW]
[ROW][C]22[/C][C]-0.115781[/C][C]-0.7938[/C][C]0.215665[/C][/ROW]
[ROW][C]23[/C][C]0.078377[/C][C]0.5373[/C][C]0.296789[/C][/ROW]
[ROW][C]24[/C][C]-0.025923[/C][C]-0.1777[/C][C]0.429854[/C][/ROW]
[ROW][C]25[/C][C]-0.128948[/C][C]-0.884[/C][C]0.190591[/C][/ROW]
[ROW][C]26[/C][C]-0.044528[/C][C]-0.3053[/C][C]0.380754[/C][/ROW]
[ROW][C]27[/C][C]-0.092919[/C][C]-0.637[/C][C]0.263602[/C][/ROW]
[ROW][C]28[/C][C]-0.073362[/C][C]-0.5029[/C][C]0.308675[/C][/ROW]
[ROW][C]29[/C][C]0.150961[/C][C]1.0349[/C][C]0.152997[/C][/ROW]
[ROW][C]30[/C][C]-0.007451[/C][C]-0.0511[/C][C]0.47974[/C][/ROW]
[ROW][C]31[/C][C]0.095627[/C][C]0.6556[/C][C]0.257643[/C][/ROW]
[ROW][C]32[/C][C]0.015942[/C][C]0.1093[/C][C]0.456718[/C][/ROW]
[ROW][C]33[/C][C]0.033302[/C][C]0.2283[/C][C]0.4102[/C][/ROW]
[ROW][C]34[/C][C]-0.037056[/C][C]-0.254[/C][C]0.400285[/C][/ROW]
[ROW][C]35[/C][C]0.099237[/C][C]0.6803[/C][C]0.249816[/C][/ROW]
[ROW][C]36[/C][C]0.030276[/C][C]0.2076[/C][C]0.418235[/C][/ROW]
[ROW][C]37[/C][C]-0.121223[/C][C]-0.8311[/C][C]0.205071[/C][/ROW]
[ROW][C]38[/C][C]0.044928[/C][C]0.308[/C][C]0.379718[/C][/ROW]
[ROW][C]39[/C][C]-0.041436[/C][C]-0.2841[/C][C]0.388801[/C][/ROW]
[ROW][C]40[/C][C]-0.064813[/C][C]-0.4443[/C][C]0.32942[/C][/ROW]
[ROW][C]41[/C][C]0.013867[/C][C]0.0951[/C][C]0.462333[/C][/ROW]
[ROW][C]42[/C][C]-0.071892[/C][C]-0.4929[/C][C]0.312201[/C][/ROW]
[ROW][C]43[/C][C]0.067719[/C][C]0.4643[/C][C]0.322302[/C][/ROW]
[ROW][C]44[/C][C]0.010968[/C][C]0.0752[/C][C]0.470189[/C][/ROW]
[ROW][C]45[/C][C]-0.044742[/C][C]-0.3067[/C][C]0.380201[/C][/ROW]
[ROW][C]46[/C][C]-0.143393[/C][C]-0.9831[/C][C]0.165308[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70897&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70897&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	0.125846	0.8628	0.196327
2	0.210563	1.4435	0.07775
3	0.305976	2.0977	0.02067
4	0.134476	0.9219	0.180639
5	-0.03152	-0.2161	0.414926
6	0.00055	0.0038	0.498504
7	-0.104938	-0.7194	0.237723
8	0.119794	0.8213	0.20782
9	0.014528	0.0996	0.460543
10	-0.136609	-0.9365	0.176891
11	0.301106	2.0643	0.022268
12	-0.141058	-0.967	0.169235
13	-0.10366	-0.7107	0.240405
14	0.0393	0.2694	0.394391
15	0.017723	0.1215	0.451905
16	0.039365	0.2699	0.394219
17	0.003624	0.0248	0.490142
18	-0.146526	-1.0045	0.160133
19	-0.024422	-0.1674	0.433877
20	-0.090175	-0.6182	0.269711
21	-0.152889	-1.0482	0.149963
22	-0.115781	-0.7938	0.215665
23	0.078377	0.5373	0.296789
24	-0.025923	-0.1777	0.429854
25	-0.128948	-0.884	0.190591
26	-0.044528	-0.3053	0.380754
27	-0.092919	-0.637	0.263602
28	-0.073362	-0.5029	0.308675
29	0.150961	1.0349	0.152997
30	-0.007451	-0.0511	0.47974
31	0.095627	0.6556	0.257643
32	0.015942	0.1093	0.456718
33	0.033302	0.2283	0.4102
34	-0.037056	-0.254	0.400285
35	0.099237	0.6803	0.249816
36	0.030276	0.2076	0.418235
37	-0.121223	-0.8311	0.205071
38	0.044928	0.308	0.379718
39	-0.041436	-0.2841	0.388801
40	-0.064813	-0.4443	0.32942
41	0.013867	0.0951	0.462333
42	-0.071892	-0.4929	0.312201
43	0.067719	0.4643	0.322302
44	0.010968	0.0752	0.470189
45	-0.044742	-0.3067	0.380201
46	-0.143393	-0.9831	0.165308
47	NA	NA	NA
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA
60	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

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