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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 27 Nov 2007 09:58:43 -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/2007/Nov/27/t1196182175sygpaa7ymt3vtgh.htm/, Retrieved Sun, 05 May 2024 15:46:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6887, Retrieved Sun, 05 May 2024 15:46:35 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Groep Textiel

Estimated Impact

174

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

-       [(Partial) Autocorrelation Function] [Textiel_Q2b] [2007-11-27 16:58:43] [6aeea2896512d33d9d6591d3bc397c6f] [Current]

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Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6887&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]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=6887&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6887&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	8.4853	0
1	-0.257372	-2.1839	0.983885
2	-0.190883	-1.6197	0.945165
3	0.150998	1.2813	0.102107
4	-0.06813	-0.5781	0.717499
5	0.002123	0.018	0.49284
6	0.150818	1.2797	0.102374
7	-0.147515	-1.2517	0.892636
8	0.004284	0.0364	0.485551
9	0.12404	1.0525	0.148041
10	-0.098364	-0.8347	0.796662
11	0.158512	1.345	0.09142
12	-0.10643	-0.9031	0.815255
13	-0.182601	-1.5494	0.937168
14	-0.019204	-0.163	0.564495
15	0.122493	1.0394	0.151052
16	-0.010049	-0.0853	0.533858
17	-0.091762	-0.7786	0.780625
18	-0.092706	-0.7866	0.782961
19	0.230249	1.9537	0.027309
20	-0.150344	-1.2757	0.896921
21	0.034838	0.2956	0.384188
22	0.051984	0.4411	0.33023
23	-0.15881	-1.3476	0.908986
24	0.09933	0.8428	0.201054
25	-0.014106	-0.1197	0.547471
26	-0.005569	-0.0473	0.51878
27	0.05979	0.5073	0.306736
28	-0.071422	-0.606	0.726802
29	-0.120816	-1.0252	0.845639
30	0.170111	1.4434	0.076617
31	-0.00301	-0.0255	0.510152
32	-0.103844	-0.8811	0.809414
33	0.039766	0.3374	0.36839
34	-0.119603	-1.0149	0.843216
35	0.0781	0.6627	0.25482
36	0.083826	0.7113	0.239603
37	-0.066258	-0.5622	0.712143
38	0.00264	0.0224	0.491096
39	0.030172	0.256	0.399335
40	-0.030708	-0.2606	0.602415
41	0.050562	0.429	0.334591
42	0.010155	0.0862	0.465786
43	-0.027239	-0.2311	0.591065
44	-0.044476	-0.3774	0.646502
45	0.029157	0.2474	0.402648
46	0.054898	0.4658	0.321374
47	-0.030016	-0.2547	0.600157

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.4853 & 0 \tabularnewline
1 & -0.257372 & -2.1839 & 0.983885 \tabularnewline
2 & -0.190883 & -1.6197 & 0.945165 \tabularnewline
3 & 0.150998 & 1.2813 & 0.102107 \tabularnewline
4 & -0.06813 & -0.5781 & 0.717499 \tabularnewline
5 & 0.002123 & 0.018 & 0.49284 \tabularnewline
6 & 0.150818 & 1.2797 & 0.102374 \tabularnewline
7 & -0.147515 & -1.2517 & 0.892636 \tabularnewline
8 & 0.004284 & 0.0364 & 0.485551 \tabularnewline
9 & 0.12404 & 1.0525 & 0.148041 \tabularnewline
10 & -0.098364 & -0.8347 & 0.796662 \tabularnewline
11 & 0.158512 & 1.345 & 0.09142 \tabularnewline
12 & -0.10643 & -0.9031 & 0.815255 \tabularnewline
13 & -0.182601 & -1.5494 & 0.937168 \tabularnewline
14 & -0.019204 & -0.163 & 0.564495 \tabularnewline
15 & 0.122493 & 1.0394 & 0.151052 \tabularnewline
16 & -0.010049 & -0.0853 & 0.533858 \tabularnewline
17 & -0.091762 & -0.7786 & 0.780625 \tabularnewline
18 & -0.092706 & -0.7866 & 0.782961 \tabularnewline
19 & 0.230249 & 1.9537 & 0.027309 \tabularnewline
20 & -0.150344 & -1.2757 & 0.896921 \tabularnewline
21 & 0.034838 & 0.2956 & 0.384188 \tabularnewline
22 & 0.051984 & 0.4411 & 0.33023 \tabularnewline
23 & -0.15881 & -1.3476 & 0.908986 \tabularnewline
24 & 0.09933 & 0.8428 & 0.201054 \tabularnewline
25 & -0.014106 & -0.1197 & 0.547471 \tabularnewline
26 & -0.005569 & -0.0473 & 0.51878 \tabularnewline
27 & 0.05979 & 0.5073 & 0.306736 \tabularnewline
28 & -0.071422 & -0.606 & 0.726802 \tabularnewline
29 & -0.120816 & -1.0252 & 0.845639 \tabularnewline
30 & 0.170111 & 1.4434 & 0.076617 \tabularnewline
31 & -0.00301 & -0.0255 & 0.510152 \tabularnewline
32 & -0.103844 & -0.8811 & 0.809414 \tabularnewline
33 & 0.039766 & 0.3374 & 0.36839 \tabularnewline
34 & -0.119603 & -1.0149 & 0.843216 \tabularnewline
35 & 0.0781 & 0.6627 & 0.25482 \tabularnewline
36 & 0.083826 & 0.7113 & 0.239603 \tabularnewline
37 & -0.066258 & -0.5622 & 0.712143 \tabularnewline
38 & 0.00264 & 0.0224 & 0.491096 \tabularnewline
39 & 0.030172 & 0.256 & 0.399335 \tabularnewline
40 & -0.030708 & -0.2606 & 0.602415 \tabularnewline
41 & 0.050562 & 0.429 & 0.334591 \tabularnewline
42 & 0.010155 & 0.0862 & 0.465786 \tabularnewline
43 & -0.027239 & -0.2311 & 0.591065 \tabularnewline
44 & -0.044476 & -0.3774 & 0.646502 \tabularnewline
45 & 0.029157 & 0.2474 & 0.402648 \tabularnewline
46 & 0.054898 & 0.4658 & 0.321374 \tabularnewline
47 & -0.030016 & -0.2547 & 0.600157 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6887&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]8.4853[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.257372[/C][C]-2.1839[/C][C]0.983885[/C][/ROW]
[ROW][C]2[/C][C]-0.190883[/C][C]-1.6197[/C][C]0.945165[/C][/ROW]
[ROW][C]3[/C][C]0.150998[/C][C]1.2813[/C][C]0.102107[/C][/ROW]
[ROW][C]4[/C][C]-0.06813[/C][C]-0.5781[/C][C]0.717499[/C][/ROW]
[ROW][C]5[/C][C]0.002123[/C][C]0.018[/C][C]0.49284[/C][/ROW]
[ROW][C]6[/C][C]0.150818[/C][C]1.2797[/C][C]0.102374[/C][/ROW]
[ROW][C]7[/C][C]-0.147515[/C][C]-1.2517[/C][C]0.892636[/C][/ROW]
[ROW][C]8[/C][C]0.004284[/C][C]0.0364[/C][C]0.485551[/C][/ROW]
[ROW][C]9[/C][C]0.12404[/C][C]1.0525[/C][C]0.148041[/C][/ROW]
[ROW][C]10[/C][C]-0.098364[/C][C]-0.8347[/C][C]0.796662[/C][/ROW]
[ROW][C]11[/C][C]0.158512[/C][C]1.345[/C][C]0.09142[/C][/ROW]
[ROW][C]12[/C][C]-0.10643[/C][C]-0.9031[/C][C]0.815255[/C][/ROW]
[ROW][C]13[/C][C]-0.182601[/C][C]-1.5494[/C][C]0.937168[/C][/ROW]
[ROW][C]14[/C][C]-0.019204[/C][C]-0.163[/C][C]0.564495[/C][/ROW]
[ROW][C]15[/C][C]0.122493[/C][C]1.0394[/C][C]0.151052[/C][/ROW]
[ROW][C]16[/C][C]-0.010049[/C][C]-0.0853[/C][C]0.533858[/C][/ROW]
[ROW][C]17[/C][C]-0.091762[/C][C]-0.7786[/C][C]0.780625[/C][/ROW]
[ROW][C]18[/C][C]-0.092706[/C][C]-0.7866[/C][C]0.782961[/C][/ROW]
[ROW][C]19[/C][C]0.230249[/C][C]1.9537[/C][C]0.027309[/C][/ROW]
[ROW][C]20[/C][C]-0.150344[/C][C]-1.2757[/C][C]0.896921[/C][/ROW]
[ROW][C]21[/C][C]0.034838[/C][C]0.2956[/C][C]0.384188[/C][/ROW]
[ROW][C]22[/C][C]0.051984[/C][C]0.4411[/C][C]0.33023[/C][/ROW]
[ROW][C]23[/C][C]-0.15881[/C][C]-1.3476[/C][C]0.908986[/C][/ROW]
[ROW][C]24[/C][C]0.09933[/C][C]0.8428[/C][C]0.201054[/C][/ROW]
[ROW][C]25[/C][C]-0.014106[/C][C]-0.1197[/C][C]0.547471[/C][/ROW]
[ROW][C]26[/C][C]-0.005569[/C][C]-0.0473[/C][C]0.51878[/C][/ROW]
[ROW][C]27[/C][C]0.05979[/C][C]0.5073[/C][C]0.306736[/C][/ROW]
[ROW][C]28[/C][C]-0.071422[/C][C]-0.606[/C][C]0.726802[/C][/ROW]
[ROW][C]29[/C][C]-0.120816[/C][C]-1.0252[/C][C]0.845639[/C][/ROW]
[ROW][C]30[/C][C]0.170111[/C][C]1.4434[/C][C]0.076617[/C][/ROW]
[ROW][C]31[/C][C]-0.00301[/C][C]-0.0255[/C][C]0.510152[/C][/ROW]
[ROW][C]32[/C][C]-0.103844[/C][C]-0.8811[/C][C]0.809414[/C][/ROW]
[ROW][C]33[/C][C]0.039766[/C][C]0.3374[/C][C]0.36839[/C][/ROW]
[ROW][C]34[/C][C]-0.119603[/C][C]-1.0149[/C][C]0.843216[/C][/ROW]
[ROW][C]35[/C][C]0.0781[/C][C]0.6627[/C][C]0.25482[/C][/ROW]
[ROW][C]36[/C][C]0.083826[/C][C]0.7113[/C][C]0.239603[/C][/ROW]
[ROW][C]37[/C][C]-0.066258[/C][C]-0.5622[/C][C]0.712143[/C][/ROW]
[ROW][C]38[/C][C]0.00264[/C][C]0.0224[/C][C]0.491096[/C][/ROW]
[ROW][C]39[/C][C]0.030172[/C][C]0.256[/C][C]0.399335[/C][/ROW]
[ROW][C]40[/C][C]-0.030708[/C][C]-0.2606[/C][C]0.602415[/C][/ROW]
[ROW][C]41[/C][C]0.050562[/C][C]0.429[/C][C]0.334591[/C][/ROW]
[ROW][C]42[/C][C]0.010155[/C][C]0.0862[/C][C]0.465786[/C][/ROW]
[ROW][C]43[/C][C]-0.027239[/C][C]-0.2311[/C][C]0.591065[/C][/ROW]
[ROW][C]44[/C][C]-0.044476[/C][C]-0.3774[/C][C]0.646502[/C][/ROW]
[ROW][C]45[/C][C]0.029157[/C][C]0.2474[/C][C]0.402648[/C][/ROW]
[ROW][C]46[/C][C]0.054898[/C][C]0.4658[/C][C]0.321374[/C][/ROW]
[ROW][C]47[/C][C]-0.030016[/C][C]-0.2547[/C][C]0.600157[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6887&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6887&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	8.4853	0
1	-0.257372	-2.1839	0.983885
2	-0.190883	-1.6197	0.945165
3	0.150998	1.2813	0.102107
4	-0.06813	-0.5781	0.717499
5	0.002123	0.018	0.49284
6	0.150818	1.2797	0.102374
7	-0.147515	-1.2517	0.892636
8	0.004284	0.0364	0.485551
9	0.12404	1.0525	0.148041
10	-0.098364	-0.8347	0.796662
11	0.158512	1.345	0.09142
12	-0.10643	-0.9031	0.815255
13	-0.182601	-1.5494	0.937168
14	-0.019204	-0.163	0.564495
15	0.122493	1.0394	0.151052
16	-0.010049	-0.0853	0.533858
17	-0.091762	-0.7786	0.780625
18	-0.092706	-0.7866	0.782961
19	0.230249	1.9537	0.027309
20	-0.150344	-1.2757	0.896921
21	0.034838	0.2956	0.384188
22	0.051984	0.4411	0.33023
23	-0.15881	-1.3476	0.908986
24	0.09933	0.8428	0.201054
25	-0.014106	-0.1197	0.547471
26	-0.005569	-0.0473	0.51878
27	0.05979	0.5073	0.306736
28	-0.071422	-0.606	0.726802
29	-0.120816	-1.0252	0.845639
30	0.170111	1.4434	0.076617
31	-0.00301	-0.0255	0.510152
32	-0.103844	-0.8811	0.809414
33	0.039766	0.3374	0.36839
34	-0.119603	-1.0149	0.843216
35	0.0781	0.6627	0.25482
36	0.083826	0.7113	0.239603
37	-0.066258	-0.5622	0.712143
38	0.00264	0.0224	0.491096
39	0.030172	0.256	0.399335
40	-0.030708	-0.2606	0.602415
41	0.050562	0.429	0.334591
42	0.010155	0.0862	0.465786
43	-0.027239	-0.2311	0.591065
44	-0.044476	-0.3774	0.646502
45	0.029157	0.2474	0.402648
46	0.054898	0.4658	0.321374
47	-0.030016	-0.2547	0.600157

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	-0.257372	-2.1839	0.983885
1	-0.275363	-2.3365	0.988875
2	0.020246	0.1718	0.432041
3	-0.075921	-0.6442	0.739258
4	0.004138	0.0351	0.486043
5	0.138862	1.1783	0.121281
6	-0.057541	-0.4883	0.686573
7	0.000667	0.0057	0.497749
8	0.070007	0.594	0.277176
9	-0.02213	-0.1878	0.57421
10	0.182422	1.5479	0.063015
11	-0.074894	-0.6355	0.73644
12	-0.159482	-1.3532	0.909895
13	-0.243056	-2.0624	0.978611
14	-0.034751	-0.2949	0.615531
15	0.026145	0.2219	0.412529
16	-0.102762	-0.872	0.806936
17	-0.14792	-1.2551	0.893257
18	0.209626	1.7787	0.039752
19	-0.111137	-0.943	0.82559
20	0.099677	0.8458	0.200238
21	0.024148	0.2049	0.419114
22	-0.025333	-0.215	0.584794
23	0.086229	0.7317	0.23337
24	-0.131058	-1.1121	0.865094
25	0.006172	0.0524	0.47919
26	-0.029695	-0.252	0.59911
27	-0.105068	-0.8915	0.812192
28	-0.081507	-0.6916	0.754297
29	-0.14337	-1.2165	0.886123
30	0.069473	0.5895	0.278687
31	-0.020317	-0.1724	0.568195
32	-0.012497	-0.106	0.542077
33	-0.139563	-1.1842	0.879892
34	0.007245	0.0615	0.475574
35	0.092887	0.7882	0.216593
36	0.053017	0.4499	0.327079
37	-0.025566	-0.2169	0.585563
38	0.103201	0.8757	0.192056
39	-0.014644	-0.1243	0.549271
40	-0.021414	-0.1817	0.571837
41	-0.040757	-0.3458	0.634761
42	-0.028578	-0.2425	0.595456
43	-0.010247	-0.087	0.534524
44	-0.100767	-0.855	0.802316
45	-0.0936	-0.7942	0.785161
46	-0.068187	-0.5786	0.717664
47	0.00094	0.008	0.49683

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.257372 & -2.1839 & 0.983885 \tabularnewline
1 & -0.275363 & -2.3365 & 0.988875 \tabularnewline
2 & 0.020246 & 0.1718 & 0.432041 \tabularnewline
3 & -0.075921 & -0.6442 & 0.739258 \tabularnewline
4 & 0.004138 & 0.0351 & 0.486043 \tabularnewline
5 & 0.138862 & 1.1783 & 0.121281 \tabularnewline
6 & -0.057541 & -0.4883 & 0.686573 \tabularnewline
7 & 0.000667 & 0.0057 & 0.497749 \tabularnewline
8 & 0.070007 & 0.594 & 0.277176 \tabularnewline
9 & -0.02213 & -0.1878 & 0.57421 \tabularnewline
10 & 0.182422 & 1.5479 & 0.063015 \tabularnewline
11 & -0.074894 & -0.6355 & 0.73644 \tabularnewline
12 & -0.159482 & -1.3532 & 0.909895 \tabularnewline
13 & -0.243056 & -2.0624 & 0.978611 \tabularnewline
14 & -0.034751 & -0.2949 & 0.615531 \tabularnewline
15 & 0.026145 & 0.2219 & 0.412529 \tabularnewline
16 & -0.102762 & -0.872 & 0.806936 \tabularnewline
17 & -0.14792 & -1.2551 & 0.893257 \tabularnewline
18 & 0.209626 & 1.7787 & 0.039752 \tabularnewline
19 & -0.111137 & -0.943 & 0.82559 \tabularnewline
20 & 0.099677 & 0.8458 & 0.200238 \tabularnewline
21 & 0.024148 & 0.2049 & 0.419114 \tabularnewline
22 & -0.025333 & -0.215 & 0.584794 \tabularnewline
23 & 0.086229 & 0.7317 & 0.23337 \tabularnewline
24 & -0.131058 & -1.1121 & 0.865094 \tabularnewline
25 & 0.006172 & 0.0524 & 0.47919 \tabularnewline
26 & -0.029695 & -0.252 & 0.59911 \tabularnewline
27 & -0.105068 & -0.8915 & 0.812192 \tabularnewline
28 & -0.081507 & -0.6916 & 0.754297 \tabularnewline
29 & -0.14337 & -1.2165 & 0.886123 \tabularnewline
30 & 0.069473 & 0.5895 & 0.278687 \tabularnewline
31 & -0.020317 & -0.1724 & 0.568195 \tabularnewline
32 & -0.012497 & -0.106 & 0.542077 \tabularnewline
33 & -0.139563 & -1.1842 & 0.879892 \tabularnewline
34 & 0.007245 & 0.0615 & 0.475574 \tabularnewline
35 & 0.092887 & 0.7882 & 0.216593 \tabularnewline
36 & 0.053017 & 0.4499 & 0.327079 \tabularnewline
37 & -0.025566 & -0.2169 & 0.585563 \tabularnewline
38 & 0.103201 & 0.8757 & 0.192056 \tabularnewline
39 & -0.014644 & -0.1243 & 0.549271 \tabularnewline
40 & -0.021414 & -0.1817 & 0.571837 \tabularnewline
41 & -0.040757 & -0.3458 & 0.634761 \tabularnewline
42 & -0.028578 & -0.2425 & 0.595456 \tabularnewline
43 & -0.010247 & -0.087 & 0.534524 \tabularnewline
44 & -0.100767 & -0.855 & 0.802316 \tabularnewline
45 & -0.0936 & -0.7942 & 0.785161 \tabularnewline
46 & -0.068187 & -0.5786 & 0.717664 \tabularnewline
47 & 0.00094 & 0.008 & 0.49683 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6887&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]-0.257372[/C][C]-2.1839[/C][C]0.983885[/C][/ROW]
[ROW][C]1[/C][C]-0.275363[/C][C]-2.3365[/C][C]0.988875[/C][/ROW]
[ROW][C]2[/C][C]0.020246[/C][C]0.1718[/C][C]0.432041[/C][/ROW]
[ROW][C]3[/C][C]-0.075921[/C][C]-0.6442[/C][C]0.739258[/C][/ROW]
[ROW][C]4[/C][C]0.004138[/C][C]0.0351[/C][C]0.486043[/C][/ROW]
[ROW][C]5[/C][C]0.138862[/C][C]1.1783[/C][C]0.121281[/C][/ROW]
[ROW][C]6[/C][C]-0.057541[/C][C]-0.4883[/C][C]0.686573[/C][/ROW]
[ROW][C]7[/C][C]0.000667[/C][C]0.0057[/C][C]0.497749[/C][/ROW]
[ROW][C]8[/C][C]0.070007[/C][C]0.594[/C][C]0.277176[/C][/ROW]
[ROW][C]9[/C][C]-0.02213[/C][C]-0.1878[/C][C]0.57421[/C][/ROW]
[ROW][C]10[/C][C]0.182422[/C][C]1.5479[/C][C]0.063015[/C][/ROW]
[ROW][C]11[/C][C]-0.074894[/C][C]-0.6355[/C][C]0.73644[/C][/ROW]
[ROW][C]12[/C][C]-0.159482[/C][C]-1.3532[/C][C]0.909895[/C][/ROW]
[ROW][C]13[/C][C]-0.243056[/C][C]-2.0624[/C][C]0.978611[/C][/ROW]
[ROW][C]14[/C][C]-0.034751[/C][C]-0.2949[/C][C]0.615531[/C][/ROW]
[ROW][C]15[/C][C]0.026145[/C][C]0.2219[/C][C]0.412529[/C][/ROW]
[ROW][C]16[/C][C]-0.102762[/C][C]-0.872[/C][C]0.806936[/C][/ROW]
[ROW][C]17[/C][C]-0.14792[/C][C]-1.2551[/C][C]0.893257[/C][/ROW]
[ROW][C]18[/C][C]0.209626[/C][C]1.7787[/C][C]0.039752[/C][/ROW]
[ROW][C]19[/C][C]-0.111137[/C][C]-0.943[/C][C]0.82559[/C][/ROW]
[ROW][C]20[/C][C]0.099677[/C][C]0.8458[/C][C]0.200238[/C][/ROW]
[ROW][C]21[/C][C]0.024148[/C][C]0.2049[/C][C]0.419114[/C][/ROW]
[ROW][C]22[/C][C]-0.025333[/C][C]-0.215[/C][C]0.584794[/C][/ROW]
[ROW][C]23[/C][C]0.086229[/C][C]0.7317[/C][C]0.23337[/C][/ROW]
[ROW][C]24[/C][C]-0.131058[/C][C]-1.1121[/C][C]0.865094[/C][/ROW]
[ROW][C]25[/C][C]0.006172[/C][C]0.0524[/C][C]0.47919[/C][/ROW]
[ROW][C]26[/C][C]-0.029695[/C][C]-0.252[/C][C]0.59911[/C][/ROW]
[ROW][C]27[/C][C]-0.105068[/C][C]-0.8915[/C][C]0.812192[/C][/ROW]
[ROW][C]28[/C][C]-0.081507[/C][C]-0.6916[/C][C]0.754297[/C][/ROW]
[ROW][C]29[/C][C]-0.14337[/C][C]-1.2165[/C][C]0.886123[/C][/ROW]
[ROW][C]30[/C][C]0.069473[/C][C]0.5895[/C][C]0.278687[/C][/ROW]
[ROW][C]31[/C][C]-0.020317[/C][C]-0.1724[/C][C]0.568195[/C][/ROW]
[ROW][C]32[/C][C]-0.012497[/C][C]-0.106[/C][C]0.542077[/C][/ROW]
[ROW][C]33[/C][C]-0.139563[/C][C]-1.1842[/C][C]0.879892[/C][/ROW]
[ROW][C]34[/C][C]0.007245[/C][C]0.0615[/C][C]0.475574[/C][/ROW]
[ROW][C]35[/C][C]0.092887[/C][C]0.7882[/C][C]0.216593[/C][/ROW]
[ROW][C]36[/C][C]0.053017[/C][C]0.4499[/C][C]0.327079[/C][/ROW]
[ROW][C]37[/C][C]-0.025566[/C][C]-0.2169[/C][C]0.585563[/C][/ROW]
[ROW][C]38[/C][C]0.103201[/C][C]0.8757[/C][C]0.192056[/C][/ROW]
[ROW][C]39[/C][C]-0.014644[/C][C]-0.1243[/C][C]0.549271[/C][/ROW]
[ROW][C]40[/C][C]-0.021414[/C][C]-0.1817[/C][C]0.571837[/C][/ROW]
[ROW][C]41[/C][C]-0.040757[/C][C]-0.3458[/C][C]0.634761[/C][/ROW]
[ROW][C]42[/C][C]-0.028578[/C][C]-0.2425[/C][C]0.595456[/C][/ROW]
[ROW][C]43[/C][C]-0.010247[/C][C]-0.087[/C][C]0.534524[/C][/ROW]
[ROW][C]44[/C][C]-0.100767[/C][C]-0.855[/C][C]0.802316[/C][/ROW]
[ROW][C]45[/C][C]-0.0936[/C][C]-0.7942[/C][C]0.785161[/C][/ROW]
[ROW][C]46[/C][C]-0.068187[/C][C]-0.5786[/C][C]0.717664[/C][/ROW]
[ROW][C]47[/C][C]0.00094[/C][C]0.008[/C][C]0.49683[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6887&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6887&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	-0.257372	-2.1839	0.983885
1	-0.275363	-2.3365	0.988875
2	0.020246	0.1718	0.432041
3	-0.075921	-0.6442	0.739258
4	0.004138	0.0351	0.486043
5	0.138862	1.1783	0.121281
6	-0.057541	-0.4883	0.686573
7	0.000667	0.0057	0.497749
8	0.070007	0.594	0.277176
9	-0.02213	-0.1878	0.57421
10	0.182422	1.5479	0.063015
11	-0.074894	-0.6355	0.73644
12	-0.159482	-1.3532	0.909895
13	-0.243056	-2.0624	0.978611
14	-0.034751	-0.2949	0.615531
15	0.026145	0.2219	0.412529
16	-0.102762	-0.872	0.806936
17	-0.14792	-1.2551	0.893257
18	0.209626	1.7787	0.039752
19	-0.111137	-0.943	0.82559
20	0.099677	0.8458	0.200238
21	0.024148	0.2049	0.419114
22	-0.025333	-0.215	0.584794
23	0.086229	0.7317	0.23337
24	-0.131058	-1.1121	0.865094
25	0.006172	0.0524	0.47919
26	-0.029695	-0.252	0.59911
27	-0.105068	-0.8915	0.812192
28	-0.081507	-0.6916	0.754297
29	-0.14337	-1.2165	0.886123
30	0.069473	0.5895	0.278687
31	-0.020317	-0.1724	0.568195
32	-0.012497	-0.106	0.542077
33	-0.139563	-1.1842	0.879892
34	0.007245	0.0615	0.475574
35	0.092887	0.7882	0.216593
36	0.053017	0.4499	0.327079
37	-0.025566	-0.2169	0.585563
38	0.103201	0.8757	0.192056
39	-0.014644	-0.1243	0.549271
40	-0.021414	-0.1817	0.571837
41	-0.040757	-0.3458	0.634761
42	-0.028578	-0.2425	0.595456
43	-0.010247	-0.087	0.534524
44	-0.100767	-0.855	0.802316
45	-0.0936	-0.7942	0.785161
46	-0.068187	-0.5786	0.717664
47	0.00094	0.008	0.49683

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 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 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code