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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 20 Dec 2010 09:44:34 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/20/t1292838645wkqmqeu4p3ztxly.htm/, Retrieved Sat, 04 May 2024 04:38:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112819, Retrieved Sat, 04 May 2024 04:38:16 +0000

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User-defined keywords

Estimated Impact

147

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

-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [(Partial) Autocorrelation Function] [Births] [2010-11-29 09:36:27] [b98453cac15ba1066b407e146608df68]
-   PD            [(Partial) Autocorrelation Function] [] [2010-12-20 09:44:34] [d1991ab4912b5ede0ff54c26afa5d84c] [Current]
-    D              [(Partial) Autocorrelation Function] [] [2010-12-21 15:59:13] [94f4aa1c01e87d8321fffb341ed4df07] 
-   PD              [(Partial) Autocorrelation Function] [] [2010-12-21 16:00:40] [94f4aa1c01e87d8321fffb341ed4df07] 
-   PD              [(Partial) Autocorrelation Function] [] [2010-12-21 16:01:31] [94f4aa1c01e87d8321fffb341ed4df07] 
-   PD              [(Partial) Autocorrelation Function] [] [2010-12-21 18:57:45] [94f4aa1c01e87d8321fffb341ed4df07] 
-   PD              [(Partial) Autocorrelation Function] [] [2010-12-21 18:59:10] [94f4aa1c01e87d8321fffb341ed4df07] 

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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	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112819&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112819&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112819&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	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.970056	6.7904	0
2	0.927409	6.4919	0
3	0.881258	6.1688	0
4	0.826788	5.7875	0
5	0.761236	5.3286	1e-06
6	0.682464	4.7772	8e-06
7	0.600218	4.2015	5.6e-05
8	0.519003	3.633	0.000335
9	0.431717	3.022	0.001993
10	0.339374	2.3756	0.010738
11	0.250686	1.7548	0.042772
12	0.159923	1.1195	0.1342
13	0.072456	0.5072	0.307148
14	-0.01217	-0.0852	0.46623
15	-0.094329	-0.6603	0.256077
16	-0.170869	-1.1961	0.11871
17	-0.234788	-1.6435	0.053339
18	-0.290021	-2.0301	0.023894
19	-0.336087	-2.3526	0.011351
20	-0.372497	-2.6075	0.006027
21	-0.399882	-2.7992	0.003654
22	-0.418667	-2.9307	0.002563
23	-0.43091	-3.0164	0.002024
24	-0.435758	-3.0503	0.001842
25	-0.433278	-3.0329	0.001933
26	-0.423215	-2.9625	0.002349
27	-0.408131	-2.8569	0.00313
28	-0.386143	-2.703	0.004709
29	-0.369097	-2.5837	0.006404
30	-0.352515	-2.4676	0.008571
31	-0.327896	-2.2953	0.013019
32	-0.301325	-2.1093	0.020027
33	-0.272496	-1.9075	0.031165
34	-0.242829	-1.6998	0.047754
35	-0.216875	-1.5181	0.067704
36	-0.187122	-1.3099	0.098177
37	-0.15944	-1.1161	0.134916
38	-0.135102	-0.9457	0.174467
39	-0.11219	-0.7853	0.218021
40	-0.091275	-0.6389	0.262923
41	-0.074101	-0.5187	0.303149
42	-0.059751	-0.4183	0.338793
43	-0.049803	-0.3486	0.364433
44	-0.044234	-0.3096	0.379075
45	-0.035293	-0.2471	0.40295
46	-0.024933	-0.1745	0.431082
47	-0.01405	-0.0983	0.461028
48	-0.005516	-0.0386	0.484677

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.970056 & 6.7904 & 0 \tabularnewline
2 & 0.927409 & 6.4919 & 0 \tabularnewline
3 & 0.881258 & 6.1688 & 0 \tabularnewline
4 & 0.826788 & 5.7875 & 0 \tabularnewline
5 & 0.761236 & 5.3286 & 1e-06 \tabularnewline
6 & 0.682464 & 4.7772 & 8e-06 \tabularnewline
7 & 0.600218 & 4.2015 & 5.6e-05 \tabularnewline
8 & 0.519003 & 3.633 & 0.000335 \tabularnewline
9 & 0.431717 & 3.022 & 0.001993 \tabularnewline
10 & 0.339374 & 2.3756 & 0.010738 \tabularnewline
11 & 0.250686 & 1.7548 & 0.042772 \tabularnewline
12 & 0.159923 & 1.1195 & 0.1342 \tabularnewline
13 & 0.072456 & 0.5072 & 0.307148 \tabularnewline
14 & -0.01217 & -0.0852 & 0.46623 \tabularnewline
15 & -0.094329 & -0.6603 & 0.256077 \tabularnewline
16 & -0.170869 & -1.1961 & 0.11871 \tabularnewline
17 & -0.234788 & -1.6435 & 0.053339 \tabularnewline
18 & -0.290021 & -2.0301 & 0.023894 \tabularnewline
19 & -0.336087 & -2.3526 & 0.011351 \tabularnewline
20 & -0.372497 & -2.6075 & 0.006027 \tabularnewline
21 & -0.399882 & -2.7992 & 0.003654 \tabularnewline
22 & -0.418667 & -2.9307 & 0.002563 \tabularnewline
23 & -0.43091 & -3.0164 & 0.002024 \tabularnewline
24 & -0.435758 & -3.0503 & 0.001842 \tabularnewline
25 & -0.433278 & -3.0329 & 0.001933 \tabularnewline
26 & -0.423215 & -2.9625 & 0.002349 \tabularnewline
27 & -0.408131 & -2.8569 & 0.00313 \tabularnewline
28 & -0.386143 & -2.703 & 0.004709 \tabularnewline
29 & -0.369097 & -2.5837 & 0.006404 \tabularnewline
30 & -0.352515 & -2.4676 & 0.008571 \tabularnewline
31 & -0.327896 & -2.2953 & 0.013019 \tabularnewline
32 & -0.301325 & -2.1093 & 0.020027 \tabularnewline
33 & -0.272496 & -1.9075 & 0.031165 \tabularnewline
34 & -0.242829 & -1.6998 & 0.047754 \tabularnewline
35 & -0.216875 & -1.5181 & 0.067704 \tabularnewline
36 & -0.187122 & -1.3099 & 0.098177 \tabularnewline
37 & -0.15944 & -1.1161 & 0.134916 \tabularnewline
38 & -0.135102 & -0.9457 & 0.174467 \tabularnewline
39 & -0.11219 & -0.7853 & 0.218021 \tabularnewline
40 & -0.091275 & -0.6389 & 0.262923 \tabularnewline
41 & -0.074101 & -0.5187 & 0.303149 \tabularnewline
42 & -0.059751 & -0.4183 & 0.338793 \tabularnewline
43 & -0.049803 & -0.3486 & 0.364433 \tabularnewline
44 & -0.044234 & -0.3096 & 0.379075 \tabularnewline
45 & -0.035293 & -0.2471 & 0.40295 \tabularnewline
46 & -0.024933 & -0.1745 & 0.431082 \tabularnewline
47 & -0.01405 & -0.0983 & 0.461028 \tabularnewline
48 & -0.005516 & -0.0386 & 0.484677 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112819&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]0.970056[/C][C]6.7904[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.927409[/C][C]6.4919[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.881258[/C][C]6.1688[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.826788[/C][C]5.7875[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.761236[/C][C]5.3286[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.682464[/C][C]4.7772[/C][C]8e-06[/C][/ROW]
[ROW][C]7[/C][C]0.600218[/C][C]4.2015[/C][C]5.6e-05[/C][/ROW]
[ROW][C]8[/C][C]0.519003[/C][C]3.633[/C][C]0.000335[/C][/ROW]
[ROW][C]9[/C][C]0.431717[/C][C]3.022[/C][C]0.001993[/C][/ROW]
[ROW][C]10[/C][C]0.339374[/C][C]2.3756[/C][C]0.010738[/C][/ROW]
[ROW][C]11[/C][C]0.250686[/C][C]1.7548[/C][C]0.042772[/C][/ROW]
[ROW][C]12[/C][C]0.159923[/C][C]1.1195[/C][C]0.1342[/C][/ROW]
[ROW][C]13[/C][C]0.072456[/C][C]0.5072[/C][C]0.307148[/C][/ROW]
[ROW][C]14[/C][C]-0.01217[/C][C]-0.0852[/C][C]0.46623[/C][/ROW]
[ROW][C]15[/C][C]-0.094329[/C][C]-0.6603[/C][C]0.256077[/C][/ROW]
[ROW][C]16[/C][C]-0.170869[/C][C]-1.1961[/C][C]0.11871[/C][/ROW]
[ROW][C]17[/C][C]-0.234788[/C][C]-1.6435[/C][C]0.053339[/C][/ROW]
[ROW][C]18[/C][C]-0.290021[/C][C]-2.0301[/C][C]0.023894[/C][/ROW]
[ROW][C]19[/C][C]-0.336087[/C][C]-2.3526[/C][C]0.011351[/C][/ROW]
[ROW][C]20[/C][C]-0.372497[/C][C]-2.6075[/C][C]0.006027[/C][/ROW]
[ROW][C]21[/C][C]-0.399882[/C][C]-2.7992[/C][C]0.003654[/C][/ROW]
[ROW][C]22[/C][C]-0.418667[/C][C]-2.9307[/C][C]0.002563[/C][/ROW]
[ROW][C]23[/C][C]-0.43091[/C][C]-3.0164[/C][C]0.002024[/C][/ROW]
[ROW][C]24[/C][C]-0.435758[/C][C]-3.0503[/C][C]0.001842[/C][/ROW]
[ROW][C]25[/C][C]-0.433278[/C][C]-3.0329[/C][C]0.001933[/C][/ROW]
[ROW][C]26[/C][C]-0.423215[/C][C]-2.9625[/C][C]0.002349[/C][/ROW]
[ROW][C]27[/C][C]-0.408131[/C][C]-2.8569[/C][C]0.00313[/C][/ROW]
[ROW][C]28[/C][C]-0.386143[/C][C]-2.703[/C][C]0.004709[/C][/ROW]
[ROW][C]29[/C][C]-0.369097[/C][C]-2.5837[/C][C]0.006404[/C][/ROW]
[ROW][C]30[/C][C]-0.352515[/C][C]-2.4676[/C][C]0.008571[/C][/ROW]
[ROW][C]31[/C][C]-0.327896[/C][C]-2.2953[/C][C]0.013019[/C][/ROW]
[ROW][C]32[/C][C]-0.301325[/C][C]-2.1093[/C][C]0.020027[/C][/ROW]
[ROW][C]33[/C][C]-0.272496[/C][C]-1.9075[/C][C]0.031165[/C][/ROW]
[ROW][C]34[/C][C]-0.242829[/C][C]-1.6998[/C][C]0.047754[/C][/ROW]
[ROW][C]35[/C][C]-0.216875[/C][C]-1.5181[/C][C]0.067704[/C][/ROW]
[ROW][C]36[/C][C]-0.187122[/C][C]-1.3099[/C][C]0.098177[/C][/ROW]
[ROW][C]37[/C][C]-0.15944[/C][C]-1.1161[/C][C]0.134916[/C][/ROW]
[ROW][C]38[/C][C]-0.135102[/C][C]-0.9457[/C][C]0.174467[/C][/ROW]
[ROW][C]39[/C][C]-0.11219[/C][C]-0.7853[/C][C]0.218021[/C][/ROW]
[ROW][C]40[/C][C]-0.091275[/C][C]-0.6389[/C][C]0.262923[/C][/ROW]
[ROW][C]41[/C][C]-0.074101[/C][C]-0.5187[/C][C]0.303149[/C][/ROW]
[ROW][C]42[/C][C]-0.059751[/C][C]-0.4183[/C][C]0.338793[/C][/ROW]
[ROW][C]43[/C][C]-0.049803[/C][C]-0.3486[/C][C]0.364433[/C][/ROW]
[ROW][C]44[/C][C]-0.044234[/C][C]-0.3096[/C][C]0.379075[/C][/ROW]
[ROW][C]45[/C][C]-0.035293[/C][C]-0.2471[/C][C]0.40295[/C][/ROW]
[ROW][C]46[/C][C]-0.024933[/C][C]-0.1745[/C][C]0.431082[/C][/ROW]
[ROW][C]47[/C][C]-0.01405[/C][C]-0.0983[/C][C]0.461028[/C][/ROW]
[ROW][C]48[/C][C]-0.005516[/C][C]-0.0386[/C][C]0.484677[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112819&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112819&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	0.970056	6.7904	0
2	0.927409	6.4919	0
3	0.881258	6.1688	0
4	0.826788	5.7875	0
5	0.761236	5.3286	1e-06
6	0.682464	4.7772	8e-06
7	0.600218	4.2015	5.6e-05
8	0.519003	3.633	0.000335
9	0.431717	3.022	0.001993
10	0.339374	2.3756	0.010738
11	0.250686	1.7548	0.042772
12	0.159923	1.1195	0.1342
13	0.072456	0.5072	0.307148
14	-0.01217	-0.0852	0.46623
15	-0.094329	-0.6603	0.256077
16	-0.170869	-1.1961	0.11871
17	-0.234788	-1.6435	0.053339
18	-0.290021	-2.0301	0.023894
19	-0.336087	-2.3526	0.011351
20	-0.372497	-2.6075	0.006027
21	-0.399882	-2.7992	0.003654
22	-0.418667	-2.9307	0.002563
23	-0.43091	-3.0164	0.002024
24	-0.435758	-3.0503	0.001842
25	-0.433278	-3.0329	0.001933
26	-0.423215	-2.9625	0.002349
27	-0.408131	-2.8569	0.00313
28	-0.386143	-2.703	0.004709
29	-0.369097	-2.5837	0.006404
30	-0.352515	-2.4676	0.008571
31	-0.327896	-2.2953	0.013019
32	-0.301325	-2.1093	0.020027
33	-0.272496	-1.9075	0.031165
34	-0.242829	-1.6998	0.047754
35	-0.216875	-1.5181	0.067704
36	-0.187122	-1.3099	0.098177
37	-0.15944	-1.1161	0.134916
38	-0.135102	-0.9457	0.174467
39	-0.11219	-0.7853	0.218021
40	-0.091275	-0.6389	0.262923
41	-0.074101	-0.5187	0.303149
42	-0.059751	-0.4183	0.338793
43	-0.049803	-0.3486	0.364433
44	-0.044234	-0.3096	0.379075
45	-0.035293	-0.2471	0.40295
46	-0.024933	-0.1745	0.431082
47	-0.01405	-0.0983	0.461028
48	-0.005516	-0.0386	0.484677

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.970056	6.7904	0
2	-0.230515	-1.6136	0.056518
3	-0.03846	-0.2692	0.394446
4	-0.158037	-1.1063	0.137008
5	-0.176549	-1.2358	0.111204
6	-0.219649	-1.5375	0.065297
7	-0.035097	-0.2457	0.403478
8	0.000752	0.0053	0.497911
9	-0.126403	-0.8848	0.190287
10	-0.081867	-0.5731	0.284609
11	0.041006	0.287	0.387644
12	-0.142902	-1.0003	0.161036
13	0.007846	0.0549	0.478212
14	-0.02988	-0.2092	0.417595
15	-0.045502	-0.3185	0.375725
16	-0.035626	-0.2494	0.402053
17	0.138441	0.9691	0.168631
18	0.005435	0.038	0.484905
19	0.027431	0.192	0.424262
20	0.039257	0.2748	0.392314
21	0.007057	0.0494	0.480401
22	-0.064959	-0.4547	0.325661
23	-0.014445	-0.1011	0.459936
24	-0.002789	-0.0195	0.492253
25	-0.036016	-0.2521	0.401004
26	0.006182	0.0433	0.48283
27	0.004979	0.0349	0.486169
28	0.004435	0.031	0.487681
29	-0.222969	-1.5608	0.062506
30	-0.052798	-0.3696	0.356643
31	0.073384	0.5137	0.30489
32	-0.055582	-0.3891	0.349454
33	0.064655	0.4526	0.326424
34	0.069335	0.4853	0.314796
35	-0.102876	-0.7201	0.237432
36	0.049889	0.3492	0.364209
37	-0.029814	-0.2087	0.417774
38	-0.006676	-0.0467	0.481458
39	-0.073362	-0.5135	0.304942
40	0.05158	0.3611	0.359803
41	-0.055393	-0.3878	0.34994
42	-0.050171	-0.3512	0.363472
43	-0.0078	-0.0546	0.478339
44	-0.036171	-0.2532	0.400587
45	0.017026	0.1192	0.452809
46	0.060481	0.4234	0.33694
47	0.047004	0.329	0.371769
48	-0.049312	-0.3452	0.365716

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.970056 & 6.7904 & 0 \tabularnewline
2 & -0.230515 & -1.6136 & 0.056518 \tabularnewline
3 & -0.03846 & -0.2692 & 0.394446 \tabularnewline
4 & -0.158037 & -1.1063 & 0.137008 \tabularnewline
5 & -0.176549 & -1.2358 & 0.111204 \tabularnewline
6 & -0.219649 & -1.5375 & 0.065297 \tabularnewline
7 & -0.035097 & -0.2457 & 0.403478 \tabularnewline
8 & 0.000752 & 0.0053 & 0.497911 \tabularnewline
9 & -0.126403 & -0.8848 & 0.190287 \tabularnewline
10 & -0.081867 & -0.5731 & 0.284609 \tabularnewline
11 & 0.041006 & 0.287 & 0.387644 \tabularnewline
12 & -0.142902 & -1.0003 & 0.161036 \tabularnewline
13 & 0.007846 & 0.0549 & 0.478212 \tabularnewline
14 & -0.02988 & -0.2092 & 0.417595 \tabularnewline
15 & -0.045502 & -0.3185 & 0.375725 \tabularnewline
16 & -0.035626 & -0.2494 & 0.402053 \tabularnewline
17 & 0.138441 & 0.9691 & 0.168631 \tabularnewline
18 & 0.005435 & 0.038 & 0.484905 \tabularnewline
19 & 0.027431 & 0.192 & 0.424262 \tabularnewline
20 & 0.039257 & 0.2748 & 0.392314 \tabularnewline
21 & 0.007057 & 0.0494 & 0.480401 \tabularnewline
22 & -0.064959 & -0.4547 & 0.325661 \tabularnewline
23 & -0.014445 & -0.1011 & 0.459936 \tabularnewline
24 & -0.002789 & -0.0195 & 0.492253 \tabularnewline
25 & -0.036016 & -0.2521 & 0.401004 \tabularnewline
26 & 0.006182 & 0.0433 & 0.48283 \tabularnewline
27 & 0.004979 & 0.0349 & 0.486169 \tabularnewline
28 & 0.004435 & 0.031 & 0.487681 \tabularnewline
29 & -0.222969 & -1.5608 & 0.062506 \tabularnewline
30 & -0.052798 & -0.3696 & 0.356643 \tabularnewline
31 & 0.073384 & 0.5137 & 0.30489 \tabularnewline
32 & -0.055582 & -0.3891 & 0.349454 \tabularnewline
33 & 0.064655 & 0.4526 & 0.326424 \tabularnewline
34 & 0.069335 & 0.4853 & 0.314796 \tabularnewline
35 & -0.102876 & -0.7201 & 0.237432 \tabularnewline
36 & 0.049889 & 0.3492 & 0.364209 \tabularnewline
37 & -0.029814 & -0.2087 & 0.417774 \tabularnewline
38 & -0.006676 & -0.0467 & 0.481458 \tabularnewline
39 & -0.073362 & -0.5135 & 0.304942 \tabularnewline
40 & 0.05158 & 0.3611 & 0.359803 \tabularnewline
41 & -0.055393 & -0.3878 & 0.34994 \tabularnewline
42 & -0.050171 & -0.3512 & 0.363472 \tabularnewline
43 & -0.0078 & -0.0546 & 0.478339 \tabularnewline
44 & -0.036171 & -0.2532 & 0.400587 \tabularnewline
45 & 0.017026 & 0.1192 & 0.452809 \tabularnewline
46 & 0.060481 & 0.4234 & 0.33694 \tabularnewline
47 & 0.047004 & 0.329 & 0.371769 \tabularnewline
48 & -0.049312 & -0.3452 & 0.365716 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112819&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]0.970056[/C][C]6.7904[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.230515[/C][C]-1.6136[/C][C]0.056518[/C][/ROW]
[ROW][C]3[/C][C]-0.03846[/C][C]-0.2692[/C][C]0.394446[/C][/ROW]
[ROW][C]4[/C][C]-0.158037[/C][C]-1.1063[/C][C]0.137008[/C][/ROW]
[ROW][C]5[/C][C]-0.176549[/C][C]-1.2358[/C][C]0.111204[/C][/ROW]
[ROW][C]6[/C][C]-0.219649[/C][C]-1.5375[/C][C]0.065297[/C][/ROW]
[ROW][C]7[/C][C]-0.035097[/C][C]-0.2457[/C][C]0.403478[/C][/ROW]
[ROW][C]8[/C][C]0.000752[/C][C]0.0053[/C][C]0.497911[/C][/ROW]
[ROW][C]9[/C][C]-0.126403[/C][C]-0.8848[/C][C]0.190287[/C][/ROW]
[ROW][C]10[/C][C]-0.081867[/C][C]-0.5731[/C][C]0.284609[/C][/ROW]
[ROW][C]11[/C][C]0.041006[/C][C]0.287[/C][C]0.387644[/C][/ROW]
[ROW][C]12[/C][C]-0.142902[/C][C]-1.0003[/C][C]0.161036[/C][/ROW]
[ROW][C]13[/C][C]0.007846[/C][C]0.0549[/C][C]0.478212[/C][/ROW]
[ROW][C]14[/C][C]-0.02988[/C][C]-0.2092[/C][C]0.417595[/C][/ROW]
[ROW][C]15[/C][C]-0.045502[/C][C]-0.3185[/C][C]0.375725[/C][/ROW]
[ROW][C]16[/C][C]-0.035626[/C][C]-0.2494[/C][C]0.402053[/C][/ROW]
[ROW][C]17[/C][C]0.138441[/C][C]0.9691[/C][C]0.168631[/C][/ROW]
[ROW][C]18[/C][C]0.005435[/C][C]0.038[/C][C]0.484905[/C][/ROW]
[ROW][C]19[/C][C]0.027431[/C][C]0.192[/C][C]0.424262[/C][/ROW]
[ROW][C]20[/C][C]0.039257[/C][C]0.2748[/C][C]0.392314[/C][/ROW]
[ROW][C]21[/C][C]0.007057[/C][C]0.0494[/C][C]0.480401[/C][/ROW]
[ROW][C]22[/C][C]-0.064959[/C][C]-0.4547[/C][C]0.325661[/C][/ROW]
[ROW][C]23[/C][C]-0.014445[/C][C]-0.1011[/C][C]0.459936[/C][/ROW]
[ROW][C]24[/C][C]-0.002789[/C][C]-0.0195[/C][C]0.492253[/C][/ROW]
[ROW][C]25[/C][C]-0.036016[/C][C]-0.2521[/C][C]0.401004[/C][/ROW]
[ROW][C]26[/C][C]0.006182[/C][C]0.0433[/C][C]0.48283[/C][/ROW]
[ROW][C]27[/C][C]0.004979[/C][C]0.0349[/C][C]0.486169[/C][/ROW]
[ROW][C]28[/C][C]0.004435[/C][C]0.031[/C][C]0.487681[/C][/ROW]
[ROW][C]29[/C][C]-0.222969[/C][C]-1.5608[/C][C]0.062506[/C][/ROW]
[ROW][C]30[/C][C]-0.052798[/C][C]-0.3696[/C][C]0.356643[/C][/ROW]
[ROW][C]31[/C][C]0.073384[/C][C]0.5137[/C][C]0.30489[/C][/ROW]
[ROW][C]32[/C][C]-0.055582[/C][C]-0.3891[/C][C]0.349454[/C][/ROW]
[ROW][C]33[/C][C]0.064655[/C][C]0.4526[/C][C]0.326424[/C][/ROW]
[ROW][C]34[/C][C]0.069335[/C][C]0.4853[/C][C]0.314796[/C][/ROW]
[ROW][C]35[/C][C]-0.102876[/C][C]-0.7201[/C][C]0.237432[/C][/ROW]
[ROW][C]36[/C][C]0.049889[/C][C]0.3492[/C][C]0.364209[/C][/ROW]
[ROW][C]37[/C][C]-0.029814[/C][C]-0.2087[/C][C]0.417774[/C][/ROW]
[ROW][C]38[/C][C]-0.006676[/C][C]-0.0467[/C][C]0.481458[/C][/ROW]
[ROW][C]39[/C][C]-0.073362[/C][C]-0.5135[/C][C]0.304942[/C][/ROW]
[ROW][C]40[/C][C]0.05158[/C][C]0.3611[/C][C]0.359803[/C][/ROW]
[ROW][C]41[/C][C]-0.055393[/C][C]-0.3878[/C][C]0.34994[/C][/ROW]
[ROW][C]42[/C][C]-0.050171[/C][C]-0.3512[/C][C]0.363472[/C][/ROW]
[ROW][C]43[/C][C]-0.0078[/C][C]-0.0546[/C][C]0.478339[/C][/ROW]
[ROW][C]44[/C][C]-0.036171[/C][C]-0.2532[/C][C]0.400587[/C][/ROW]
[ROW][C]45[/C][C]0.017026[/C][C]0.1192[/C][C]0.452809[/C][/ROW]
[ROW][C]46[/C][C]0.060481[/C][C]0.4234[/C][C]0.33694[/C][/ROW]
[ROW][C]47[/C][C]0.047004[/C][C]0.329[/C][C]0.371769[/C][/ROW]
[ROW][C]48[/C][C]-0.049312[/C][C]-0.3452[/C][C]0.365716[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112819&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112819&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	0.970056	6.7904	0
2	-0.230515	-1.6136	0.056518
3	-0.03846	-0.2692	0.394446
4	-0.158037	-1.1063	0.137008
5	-0.176549	-1.2358	0.111204
6	-0.219649	-1.5375	0.065297
7	-0.035097	-0.2457	0.403478
8	0.000752	0.0053	0.497911
9	-0.126403	-0.8848	0.190287
10	-0.081867	-0.5731	0.284609
11	0.041006	0.287	0.387644
12	-0.142902	-1.0003	0.161036
13	0.007846	0.0549	0.478212
14	-0.02988	-0.2092	0.417595
15	-0.045502	-0.3185	0.375725
16	-0.035626	-0.2494	0.402053
17	0.138441	0.9691	0.168631
18	0.005435	0.038	0.484905
19	0.027431	0.192	0.424262
20	0.039257	0.2748	0.392314
21	0.007057	0.0494	0.480401
22	-0.064959	-0.4547	0.325661
23	-0.014445	-0.1011	0.459936
24	-0.002789	-0.0195	0.492253
25	-0.036016	-0.2521	0.401004
26	0.006182	0.0433	0.48283
27	0.004979	0.0349	0.486169
28	0.004435	0.031	0.487681
29	-0.222969	-1.5608	0.062506
30	-0.052798	-0.3696	0.356643
31	0.073384	0.5137	0.30489
32	-0.055582	-0.3891	0.349454
33	0.064655	0.4526	0.326424
34	0.069335	0.4853	0.314796
35	-0.102876	-0.7201	0.237432
36	0.049889	0.3492	0.364209
37	-0.029814	-0.2087	0.417774
38	-0.006676	-0.0467	0.481458
39	-0.073362	-0.5135	0.304942
40	0.05158	0.3611	0.359803
41	-0.055393	-0.3878	0.34994
42	-0.050171	-0.3512	0.363472
43	-0.0078	-0.0546	0.478339
44	-0.036171	-0.2532	0.400587
45	0.017026	0.1192	0.452809
46	0.060481	0.4234	0.33694
47	0.047004	0.329	0.371769
48	-0.049312	-0.3452	0.365716

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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