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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 12 Dec 2008 06:23:15 -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/12/t1229088242qilvxe9fm70p5w6.htm/, Retrieved Fri, 17 May 2024 16:58:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32692, Retrieved Fri, 17 May 2024 16:58:09 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

215

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

-     [Univariate Data Series] [Uitvoer.Nederland] [2008-12-03 15:11:10] [988ab43f527fc78aae41c84649095267]
-   P   [Univariate Data Series] [Export From Belgi...] [2008-12-03 15:52:29] [988ab43f527fc78aae41c84649095267]
- RMP     [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-03 16:01:07] [988ab43f527fc78aae41c84649095267]
-    D      [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-11 17:24:10] [988ab43f527fc78aae41c84649095267]
-   PD        [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-12 13:08:14] [988ab43f527fc78aae41c84649095267]
-                 [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-12 13:23:15] [5d823194959040fa9b19b8c8302177e6] [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=32692&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=32692&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32692&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	-0.255291	-1.9609	0.027307
2	-0.181119	-1.3912	0.084695
3	-0.227367	-1.7464	0.04297
4	0.146977	1.129	0.131743
5	0.028441	0.2185	0.413913
6	0.07429	0.5706	0.285207
7	-0.052003	-0.3994	0.345506
8	0.178367	1.3701	0.087929
9	-0.195878	-1.5046	0.068886
10	-0.162766	-1.2502	0.108077
11	-0.125686	-0.9654	0.16914
12	0.58769	4.5141	1.5e-05
13	-0.206236	-1.5841	0.059256
14	0.032182	0.2472	0.402807
15	-0.272492	-2.093	0.020327
16	0.076095	0.5845	0.280557
17	0.057122	0.4388	0.331218
18	0.080781	0.6205	0.268661
19	-0.03777	-0.2901	0.386372
20	0.128976	0.9907	0.162942
21	-0.152624	-1.1723	0.122889
22	-0.171794	-1.3196	0.096037
23	0.011278	0.0866	0.46563
24	0.379477	2.9148	0.002511
25	-0.221637	-1.7024	0.046969
26	0.105439	0.8099	0.210629
27	-0.198625	-1.5257	0.066218
28	0.107737	0.8275	0.205632
29	-0.046271	-0.3554	0.361773
30	-0.021821	-0.1676	0.433731
31	0.095677	0.7349	0.232654
32	0.12618	0.9692	0.168198
33	-0.210821	-1.6193	0.055353
34	-0.105068	-0.807	0.211443
35	0.025385	0.195	0.423037
36	0.221833	1.7039	0.046828
37	-0.066103	-0.5077	0.306762
38	0.00019	0.0015	0.499421
39	-0.12772	-0.981	0.16529
40	0.110544	0.8491	0.199628
41	-0.028095	-0.2158	0.414943
42	-0.013732	-0.1055	0.458178
43	0.035364	0.2716	0.393425
44	0.083225	0.6393	0.262563
45	-0.080812	-0.6207	0.268583
46	-0.101009	-0.7759	0.220463
47	-0.00115	-0.0088	0.496491
48	0.092108	0.7075	0.241023

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.255291 & -1.9609 & 0.027307 \tabularnewline
2 & -0.181119 & -1.3912 & 0.084695 \tabularnewline
3 & -0.227367 & -1.7464 & 0.04297 \tabularnewline
4 & 0.146977 & 1.129 & 0.131743 \tabularnewline
5 & 0.028441 & 0.2185 & 0.413913 \tabularnewline
6 & 0.07429 & 0.5706 & 0.285207 \tabularnewline
7 & -0.052003 & -0.3994 & 0.345506 \tabularnewline
8 & 0.178367 & 1.3701 & 0.087929 \tabularnewline
9 & -0.195878 & -1.5046 & 0.068886 \tabularnewline
10 & -0.162766 & -1.2502 & 0.108077 \tabularnewline
11 & -0.125686 & -0.9654 & 0.16914 \tabularnewline
12 & 0.58769 & 4.5141 & 1.5e-05 \tabularnewline
13 & -0.206236 & -1.5841 & 0.059256 \tabularnewline
14 & 0.032182 & 0.2472 & 0.402807 \tabularnewline
15 & -0.272492 & -2.093 & 0.020327 \tabularnewline
16 & 0.076095 & 0.5845 & 0.280557 \tabularnewline
17 & 0.057122 & 0.4388 & 0.331218 \tabularnewline
18 & 0.080781 & 0.6205 & 0.268661 \tabularnewline
19 & -0.03777 & -0.2901 & 0.386372 \tabularnewline
20 & 0.128976 & 0.9907 & 0.162942 \tabularnewline
21 & -0.152624 & -1.1723 & 0.122889 \tabularnewline
22 & -0.171794 & -1.3196 & 0.096037 \tabularnewline
23 & 0.011278 & 0.0866 & 0.46563 \tabularnewline
24 & 0.379477 & 2.9148 & 0.002511 \tabularnewline
25 & -0.221637 & -1.7024 & 0.046969 \tabularnewline
26 & 0.105439 & 0.8099 & 0.210629 \tabularnewline
27 & -0.198625 & -1.5257 & 0.066218 \tabularnewline
28 & 0.107737 & 0.8275 & 0.205632 \tabularnewline
29 & -0.046271 & -0.3554 & 0.361773 \tabularnewline
30 & -0.021821 & -0.1676 & 0.433731 \tabularnewline
31 & 0.095677 & 0.7349 & 0.232654 \tabularnewline
32 & 0.12618 & 0.9692 & 0.168198 \tabularnewline
33 & -0.210821 & -1.6193 & 0.055353 \tabularnewline
34 & -0.105068 & -0.807 & 0.211443 \tabularnewline
35 & 0.025385 & 0.195 & 0.423037 \tabularnewline
36 & 0.221833 & 1.7039 & 0.046828 \tabularnewline
37 & -0.066103 & -0.5077 & 0.306762 \tabularnewline
38 & 0.00019 & 0.0015 & 0.499421 \tabularnewline
39 & -0.12772 & -0.981 & 0.16529 \tabularnewline
40 & 0.110544 & 0.8491 & 0.199628 \tabularnewline
41 & -0.028095 & -0.2158 & 0.414943 \tabularnewline
42 & -0.013732 & -0.1055 & 0.458178 \tabularnewline
43 & 0.035364 & 0.2716 & 0.393425 \tabularnewline
44 & 0.083225 & 0.6393 & 0.262563 \tabularnewline
45 & -0.080812 & -0.6207 & 0.268583 \tabularnewline
46 & -0.101009 & -0.7759 & 0.220463 \tabularnewline
47 & -0.00115 & -0.0088 & 0.496491 \tabularnewline
48 & 0.092108 & 0.7075 & 0.241023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32692&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]-0.255291[/C][C]-1.9609[/C][C]0.027307[/C][/ROW]
[ROW][C]2[/C][C]-0.181119[/C][C]-1.3912[/C][C]0.084695[/C][/ROW]
[ROW][C]3[/C][C]-0.227367[/C][C]-1.7464[/C][C]0.04297[/C][/ROW]
[ROW][C]4[/C][C]0.146977[/C][C]1.129[/C][C]0.131743[/C][/ROW]
[ROW][C]5[/C][C]0.028441[/C][C]0.2185[/C][C]0.413913[/C][/ROW]
[ROW][C]6[/C][C]0.07429[/C][C]0.5706[/C][C]0.285207[/C][/ROW]
[ROW][C]7[/C][C]-0.052003[/C][C]-0.3994[/C][C]0.345506[/C][/ROW]
[ROW][C]8[/C][C]0.178367[/C][C]1.3701[/C][C]0.087929[/C][/ROW]
[ROW][C]9[/C][C]-0.195878[/C][C]-1.5046[/C][C]0.068886[/C][/ROW]
[ROW][C]10[/C][C]-0.162766[/C][C]-1.2502[/C][C]0.108077[/C][/ROW]
[ROW][C]11[/C][C]-0.125686[/C][C]-0.9654[/C][C]0.16914[/C][/ROW]
[ROW][C]12[/C][C]0.58769[/C][C]4.5141[/C][C]1.5e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.206236[/C][C]-1.5841[/C][C]0.059256[/C][/ROW]
[ROW][C]14[/C][C]0.032182[/C][C]0.2472[/C][C]0.402807[/C][/ROW]
[ROW][C]15[/C][C]-0.272492[/C][C]-2.093[/C][C]0.020327[/C][/ROW]
[ROW][C]16[/C][C]0.076095[/C][C]0.5845[/C][C]0.280557[/C][/ROW]
[ROW][C]17[/C][C]0.057122[/C][C]0.4388[/C][C]0.331218[/C][/ROW]
[ROW][C]18[/C][C]0.080781[/C][C]0.6205[/C][C]0.268661[/C][/ROW]
[ROW][C]19[/C][C]-0.03777[/C][C]-0.2901[/C][C]0.386372[/C][/ROW]
[ROW][C]20[/C][C]0.128976[/C][C]0.9907[/C][C]0.162942[/C][/ROW]
[ROW][C]21[/C][C]-0.152624[/C][C]-1.1723[/C][C]0.122889[/C][/ROW]
[ROW][C]22[/C][C]-0.171794[/C][C]-1.3196[/C][C]0.096037[/C][/ROW]
[ROW][C]23[/C][C]0.011278[/C][C]0.0866[/C][C]0.46563[/C][/ROW]
[ROW][C]24[/C][C]0.379477[/C][C]2.9148[/C][C]0.002511[/C][/ROW]
[ROW][C]25[/C][C]-0.221637[/C][C]-1.7024[/C][C]0.046969[/C][/ROW]
[ROW][C]26[/C][C]0.105439[/C][C]0.8099[/C][C]0.210629[/C][/ROW]
[ROW][C]27[/C][C]-0.198625[/C][C]-1.5257[/C][C]0.066218[/C][/ROW]
[ROW][C]28[/C][C]0.107737[/C][C]0.8275[/C][C]0.205632[/C][/ROW]
[ROW][C]29[/C][C]-0.046271[/C][C]-0.3554[/C][C]0.361773[/C][/ROW]
[ROW][C]30[/C][C]-0.021821[/C][C]-0.1676[/C][C]0.433731[/C][/ROW]
[ROW][C]31[/C][C]0.095677[/C][C]0.7349[/C][C]0.232654[/C][/ROW]
[ROW][C]32[/C][C]0.12618[/C][C]0.9692[/C][C]0.168198[/C][/ROW]
[ROW][C]33[/C][C]-0.210821[/C][C]-1.6193[/C][C]0.055353[/C][/ROW]
[ROW][C]34[/C][C]-0.105068[/C][C]-0.807[/C][C]0.211443[/C][/ROW]
[ROW][C]35[/C][C]0.025385[/C][C]0.195[/C][C]0.423037[/C][/ROW]
[ROW][C]36[/C][C]0.221833[/C][C]1.7039[/C][C]0.046828[/C][/ROW]
[ROW][C]37[/C][C]-0.066103[/C][C]-0.5077[/C][C]0.306762[/C][/ROW]
[ROW][C]38[/C][C]0.00019[/C][C]0.0015[/C][C]0.499421[/C][/ROW]
[ROW][C]39[/C][C]-0.12772[/C][C]-0.981[/C][C]0.16529[/C][/ROW]
[ROW][C]40[/C][C]0.110544[/C][C]0.8491[/C][C]0.199628[/C][/ROW]
[ROW][C]41[/C][C]-0.028095[/C][C]-0.2158[/C][C]0.414943[/C][/ROW]
[ROW][C]42[/C][C]-0.013732[/C][C]-0.1055[/C][C]0.458178[/C][/ROW]
[ROW][C]43[/C][C]0.035364[/C][C]0.2716[/C][C]0.393425[/C][/ROW]
[ROW][C]44[/C][C]0.083225[/C][C]0.6393[/C][C]0.262563[/C][/ROW]
[ROW][C]45[/C][C]-0.080812[/C][C]-0.6207[/C][C]0.268583[/C][/ROW]
[ROW][C]46[/C][C]-0.101009[/C][C]-0.7759[/C][C]0.220463[/C][/ROW]
[ROW][C]47[/C][C]-0.00115[/C][C]-0.0088[/C][C]0.496491[/C][/ROW]
[ROW][C]48[/C][C]0.092108[/C][C]0.7075[/C][C]0.241023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32692&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32692&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	-0.255291	-1.9609	0.027307
2	-0.181119	-1.3912	0.084695
3	-0.227367	-1.7464	0.04297
4	0.146977	1.129	0.131743
5	0.028441	0.2185	0.413913
6	0.07429	0.5706	0.285207
7	-0.052003	-0.3994	0.345506
8	0.178367	1.3701	0.087929
9	-0.195878	-1.5046	0.068886
10	-0.162766	-1.2502	0.108077
11	-0.125686	-0.9654	0.16914
12	0.58769	4.5141	1.5e-05
13	-0.206236	-1.5841	0.059256
14	0.032182	0.2472	0.402807
15	-0.272492	-2.093	0.020327
16	0.076095	0.5845	0.280557
17	0.057122	0.4388	0.331218
18	0.080781	0.6205	0.268661
19	-0.03777	-0.2901	0.386372
20	0.128976	0.9907	0.162942
21	-0.152624	-1.1723	0.122889
22	-0.171794	-1.3196	0.096037
23	0.011278	0.0866	0.46563
24	0.379477	2.9148	0.002511
25	-0.221637	-1.7024	0.046969
26	0.105439	0.8099	0.210629
27	-0.198625	-1.5257	0.066218
28	0.107737	0.8275	0.205632
29	-0.046271	-0.3554	0.361773
30	-0.021821	-0.1676	0.433731
31	0.095677	0.7349	0.232654
32	0.12618	0.9692	0.168198
33	-0.210821	-1.6193	0.055353
34	-0.105068	-0.807	0.211443
35	0.025385	0.195	0.423037
36	0.221833	1.7039	0.046828
37	-0.066103	-0.5077	0.306762
38	0.00019	0.0015	0.499421
39	-0.12772	-0.981	0.16529
40	0.110544	0.8491	0.199628
41	-0.028095	-0.2158	0.414943
42	-0.013732	-0.1055	0.458178
43	0.035364	0.2716	0.393425
44	0.083225	0.6393	0.262563
45	-0.080812	-0.6207	0.268583
46	-0.101009	-0.7759	0.220463
47	-0.00115	-0.0088	0.496491
48	0.092108	0.7075	0.241023

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.255291	-1.9609	0.027307
2	-0.263463	-2.0237	0.023769
3	-0.405829	-3.1172	0.00141
4	-0.172984	-1.3287	0.094529
5	-0.19068	-1.4646	0.074164
6	-0.081851	-0.6287	0.265984
7	-0.058028	-0.4457	0.328716
8	0.247583	1.9017	0.031047
9	0.03443	0.2645	0.396174
10	-0.166515	-1.279	0.102948
11	-0.3848	-2.9557	0.002239
12	0.293954	2.2579	0.013833
13	-0.128082	-0.9838	0.164612
14	0.190426	1.4627	0.07443
15	-0.022876	-0.1757	0.430559
16	-0.058508	-0.4494	0.32739
17	0.001241	0.0095	0.496212
18	-0.001633	-0.0125	0.495018
19	0.022024	0.1692	0.433121
20	-0.003868	-0.0297	0.488199
21	0.067152	0.5158	0.30396
22	-0.176355	-1.3546	0.090353
23	0.068091	0.523	0.301461
24	0.067289	0.5169	0.303594
25	-0.147496	-1.1329	0.130912
26	0.005367	0.0412	0.483627
27	0.073471	0.5643	0.287329
28	0.095612	0.7344	0.232805
29	-0.028072	-0.2156	0.415012
30	-0.091499	-0.7028	0.242468
31	0.018982	0.1458	0.442288
32	-0.023536	-0.1808	0.428577
33	-0.083012	-0.6376	0.263092
34	0.007115	0.0547	0.4783
35	-0.113674	-0.8731	0.193062
36	-0.087962	-0.6757	0.250951
37	0.116225	0.8927	0.187811
38	-0.140978	-1.0829	0.141636
39	0.063211	0.4855	0.314548
40	-0.063641	-0.4888	0.313386
41	0.083177	0.6389	0.262682
42	0.10081	0.7743	0.220912
43	-0.023456	-0.1802	0.428819
44	-0.034131	-0.2622	0.397054
45	0.014903	0.1145	0.454625
46	0.000434	0.0033	0.498677
47	-0.029549	-0.227	0.410617
48	-0.085442	-0.6563	0.257093

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.255291 & -1.9609 & 0.027307 \tabularnewline
2 & -0.263463 & -2.0237 & 0.023769 \tabularnewline
3 & -0.405829 & -3.1172 & 0.00141 \tabularnewline
4 & -0.172984 & -1.3287 & 0.094529 \tabularnewline
5 & -0.19068 & -1.4646 & 0.074164 \tabularnewline
6 & -0.081851 & -0.6287 & 0.265984 \tabularnewline
7 & -0.058028 & -0.4457 & 0.328716 \tabularnewline
8 & 0.247583 & 1.9017 & 0.031047 \tabularnewline
9 & 0.03443 & 0.2645 & 0.396174 \tabularnewline
10 & -0.166515 & -1.279 & 0.102948 \tabularnewline
11 & -0.3848 & -2.9557 & 0.002239 \tabularnewline
12 & 0.293954 & 2.2579 & 0.013833 \tabularnewline
13 & -0.128082 & -0.9838 & 0.164612 \tabularnewline
14 & 0.190426 & 1.4627 & 0.07443 \tabularnewline
15 & -0.022876 & -0.1757 & 0.430559 \tabularnewline
16 & -0.058508 & -0.4494 & 0.32739 \tabularnewline
17 & 0.001241 & 0.0095 & 0.496212 \tabularnewline
18 & -0.001633 & -0.0125 & 0.495018 \tabularnewline
19 & 0.022024 & 0.1692 & 0.433121 \tabularnewline
20 & -0.003868 & -0.0297 & 0.488199 \tabularnewline
21 & 0.067152 & 0.5158 & 0.30396 \tabularnewline
22 & -0.176355 & -1.3546 & 0.090353 \tabularnewline
23 & 0.068091 & 0.523 & 0.301461 \tabularnewline
24 & 0.067289 & 0.5169 & 0.303594 \tabularnewline
25 & -0.147496 & -1.1329 & 0.130912 \tabularnewline
26 & 0.005367 & 0.0412 & 0.483627 \tabularnewline
27 & 0.073471 & 0.5643 & 0.287329 \tabularnewline
28 & 0.095612 & 0.7344 & 0.232805 \tabularnewline
29 & -0.028072 & -0.2156 & 0.415012 \tabularnewline
30 & -0.091499 & -0.7028 & 0.242468 \tabularnewline
31 & 0.018982 & 0.1458 & 0.442288 \tabularnewline
32 & -0.023536 & -0.1808 & 0.428577 \tabularnewline
33 & -0.083012 & -0.6376 & 0.263092 \tabularnewline
34 & 0.007115 & 0.0547 & 0.4783 \tabularnewline
35 & -0.113674 & -0.8731 & 0.193062 \tabularnewline
36 & -0.087962 & -0.6757 & 0.250951 \tabularnewline
37 & 0.116225 & 0.8927 & 0.187811 \tabularnewline
38 & -0.140978 & -1.0829 & 0.141636 \tabularnewline
39 & 0.063211 & 0.4855 & 0.314548 \tabularnewline
40 & -0.063641 & -0.4888 & 0.313386 \tabularnewline
41 & 0.083177 & 0.6389 & 0.262682 \tabularnewline
42 & 0.10081 & 0.7743 & 0.220912 \tabularnewline
43 & -0.023456 & -0.1802 & 0.428819 \tabularnewline
44 & -0.034131 & -0.2622 & 0.397054 \tabularnewline
45 & 0.014903 & 0.1145 & 0.454625 \tabularnewline
46 & 0.000434 & 0.0033 & 0.498677 \tabularnewline
47 & -0.029549 & -0.227 & 0.410617 \tabularnewline
48 & -0.085442 & -0.6563 & 0.257093 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32692&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]-0.255291[/C][C]-1.9609[/C][C]0.027307[/C][/ROW]
[ROW][C]2[/C][C]-0.263463[/C][C]-2.0237[/C][C]0.023769[/C][/ROW]
[ROW][C]3[/C][C]-0.405829[/C][C]-3.1172[/C][C]0.00141[/C][/ROW]
[ROW][C]4[/C][C]-0.172984[/C][C]-1.3287[/C][C]0.094529[/C][/ROW]
[ROW][C]5[/C][C]-0.19068[/C][C]-1.4646[/C][C]0.074164[/C][/ROW]
[ROW][C]6[/C][C]-0.081851[/C][C]-0.6287[/C][C]0.265984[/C][/ROW]
[ROW][C]7[/C][C]-0.058028[/C][C]-0.4457[/C][C]0.328716[/C][/ROW]
[ROW][C]8[/C][C]0.247583[/C][C]1.9017[/C][C]0.031047[/C][/ROW]
[ROW][C]9[/C][C]0.03443[/C][C]0.2645[/C][C]0.396174[/C][/ROW]
[ROW][C]10[/C][C]-0.166515[/C][C]-1.279[/C][C]0.102948[/C][/ROW]
[ROW][C]11[/C][C]-0.3848[/C][C]-2.9557[/C][C]0.002239[/C][/ROW]
[ROW][C]12[/C][C]0.293954[/C][C]2.2579[/C][C]0.013833[/C][/ROW]
[ROW][C]13[/C][C]-0.128082[/C][C]-0.9838[/C][C]0.164612[/C][/ROW]
[ROW][C]14[/C][C]0.190426[/C][C]1.4627[/C][C]0.07443[/C][/ROW]
[ROW][C]15[/C][C]-0.022876[/C][C]-0.1757[/C][C]0.430559[/C][/ROW]
[ROW][C]16[/C][C]-0.058508[/C][C]-0.4494[/C][C]0.32739[/C][/ROW]
[ROW][C]17[/C][C]0.001241[/C][C]0.0095[/C][C]0.496212[/C][/ROW]
[ROW][C]18[/C][C]-0.001633[/C][C]-0.0125[/C][C]0.495018[/C][/ROW]
[ROW][C]19[/C][C]0.022024[/C][C]0.1692[/C][C]0.433121[/C][/ROW]
[ROW][C]20[/C][C]-0.003868[/C][C]-0.0297[/C][C]0.488199[/C][/ROW]
[ROW][C]21[/C][C]0.067152[/C][C]0.5158[/C][C]0.30396[/C][/ROW]
[ROW][C]22[/C][C]-0.176355[/C][C]-1.3546[/C][C]0.090353[/C][/ROW]
[ROW][C]23[/C][C]0.068091[/C][C]0.523[/C][C]0.301461[/C][/ROW]
[ROW][C]24[/C][C]0.067289[/C][C]0.5169[/C][C]0.303594[/C][/ROW]
[ROW][C]25[/C][C]-0.147496[/C][C]-1.1329[/C][C]0.130912[/C][/ROW]
[ROW][C]26[/C][C]0.005367[/C][C]0.0412[/C][C]0.483627[/C][/ROW]
[ROW][C]27[/C][C]0.073471[/C][C]0.5643[/C][C]0.287329[/C][/ROW]
[ROW][C]28[/C][C]0.095612[/C][C]0.7344[/C][C]0.232805[/C][/ROW]
[ROW][C]29[/C][C]-0.028072[/C][C]-0.2156[/C][C]0.415012[/C][/ROW]
[ROW][C]30[/C][C]-0.091499[/C][C]-0.7028[/C][C]0.242468[/C][/ROW]
[ROW][C]31[/C][C]0.018982[/C][C]0.1458[/C][C]0.442288[/C][/ROW]
[ROW][C]32[/C][C]-0.023536[/C][C]-0.1808[/C][C]0.428577[/C][/ROW]
[ROW][C]33[/C][C]-0.083012[/C][C]-0.6376[/C][C]0.263092[/C][/ROW]
[ROW][C]34[/C][C]0.007115[/C][C]0.0547[/C][C]0.4783[/C][/ROW]
[ROW][C]35[/C][C]-0.113674[/C][C]-0.8731[/C][C]0.193062[/C][/ROW]
[ROW][C]36[/C][C]-0.087962[/C][C]-0.6757[/C][C]0.250951[/C][/ROW]
[ROW][C]37[/C][C]0.116225[/C][C]0.8927[/C][C]0.187811[/C][/ROW]
[ROW][C]38[/C][C]-0.140978[/C][C]-1.0829[/C][C]0.141636[/C][/ROW]
[ROW][C]39[/C][C]0.063211[/C][C]0.4855[/C][C]0.314548[/C][/ROW]
[ROW][C]40[/C][C]-0.063641[/C][C]-0.4888[/C][C]0.313386[/C][/ROW]
[ROW][C]41[/C][C]0.083177[/C][C]0.6389[/C][C]0.262682[/C][/ROW]
[ROW][C]42[/C][C]0.10081[/C][C]0.7743[/C][C]0.220912[/C][/ROW]
[ROW][C]43[/C][C]-0.023456[/C][C]-0.1802[/C][C]0.428819[/C][/ROW]
[ROW][C]44[/C][C]-0.034131[/C][C]-0.2622[/C][C]0.397054[/C][/ROW]
[ROW][C]45[/C][C]0.014903[/C][C]0.1145[/C][C]0.454625[/C][/ROW]
[ROW][C]46[/C][C]0.000434[/C][C]0.0033[/C][C]0.498677[/C][/ROW]
[ROW][C]47[/C][C]-0.029549[/C][C]-0.227[/C][C]0.410617[/C][/ROW]
[ROW][C]48[/C][C]-0.085442[/C][C]-0.6563[/C][C]0.257093[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32692&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32692&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	-0.255291	-1.9609	0.027307
2	-0.263463	-2.0237	0.023769
3	-0.405829	-3.1172	0.00141
4	-0.172984	-1.3287	0.094529
5	-0.19068	-1.4646	0.074164
6	-0.081851	-0.6287	0.265984
7	-0.058028	-0.4457	0.328716
8	0.247583	1.9017	0.031047
9	0.03443	0.2645	0.396174
10	-0.166515	-1.279	0.102948
11	-0.3848	-2.9557	0.002239
12	0.293954	2.2579	0.013833
13	-0.128082	-0.9838	0.164612
14	0.190426	1.4627	0.07443
15	-0.022876	-0.1757	0.430559
16	-0.058508	-0.4494	0.32739
17	0.001241	0.0095	0.496212
18	-0.001633	-0.0125	0.495018
19	0.022024	0.1692	0.433121
20	-0.003868	-0.0297	0.488199
21	0.067152	0.5158	0.30396
22	-0.176355	-1.3546	0.090353
23	0.068091	0.523	0.301461
24	0.067289	0.5169	0.303594
25	-0.147496	-1.1329	0.130912
26	0.005367	0.0412	0.483627
27	0.073471	0.5643	0.287329
28	0.095612	0.7344	0.232805
29	-0.028072	-0.2156	0.415012
30	-0.091499	-0.7028	0.242468
31	0.018982	0.1458	0.442288
32	-0.023536	-0.1808	0.428577
33	-0.083012	-0.6376	0.263092
34	0.007115	0.0547	0.4783
35	-0.113674	-0.8731	0.193062
36	-0.087962	-0.6757	0.250951
37	0.116225	0.8927	0.187811
38	-0.140978	-1.0829	0.141636
39	0.063211	0.4855	0.314548
40	-0.063641	-0.4888	0.313386
41	0.083177	0.6389	0.262682
42	0.10081	0.7743	0.220912
43	-0.023456	-0.1802	0.428819
44	-0.034131	-0.2622	0.397054
45	0.014903	0.1145	0.454625
46	0.000434	0.0033	0.498677
47	-0.029549	-0.227	0.410617
48	-0.085442	-0.6563	0.257093

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 0.1 ; par3 = 1 ; 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