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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 06 Jan 2011 12:44:52 +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/2011/Jan/06/t1294317754b5j3p9ad2bxkizo.htm/, Retrieved Thu, 16 May 2024 07:42:26 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=117284, Retrieved Thu, 16 May 2024 07:42:26 +0000

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User-defined keywords

Estimated Impact

248

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [Unemployment] [2010-11-29 09:05:21] [b98453cac15ba1066b407e146608df68]
-    D    [(Partial) Autocorrelation Function] [Workshop 6 'Aanta...] [2010-12-14 16:26:00] [40c8b935cbad1b0be3c22a481f9723f7]
-           [(Partial) Autocorrelation Function] [] [2010-12-16 00:41:10] [bcc4ad4a6c0f95d5b548de29638ac6c2]
-   P         [(Partial) Autocorrelation Function] [] [2010-12-16 01:31:32] [bcc4ad4a6c0f95d5b548de29638ac6c2]
-               [(Partial) Autocorrelation Function] [ACF] [2010-12-16 17:57:21] [f1aa04283d83c25edc8ae3bb0d0fb93e]
-    D            [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-27 14:52:24] [f1aa04283d83c25edc8ae3bb0d0fb93e]
-   P               [(Partial) Autocorrelation Function] [model A] [2010-12-29 11:03:25] [99820e5c3330fe494c612533a1ea567a]
-   P                   [(Partial) Autocorrelation Function] [ACF met D=0 en d=1] [2011-01-06 12:44:52] [03bcd8c83ef1a42b4029a16ba47a4880] [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	4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117284&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]4 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=117284&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117284&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	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.006243	0.048	0.480958
2	0.113396	0.871	0.193639
3	0.242078	1.8594	0.033977
4	-0.081713	-0.6276	0.266328
5	0.12492	0.9595	0.170604
6	0.061679	0.4738	0.318707
7	0.073257	0.5627	0.287887
8	-0.076232	-0.5855	0.280206
9	-0.00733	-0.0563	0.477645
10	-0.089168	-0.6849	0.24804
11	0.022227	0.1707	0.432512
12	-0.012772	-0.0981	0.461092
13	0.027212	0.209	0.417577
14	0.001071	0.0082	0.496731
15	-0.14631	-1.1238	0.132819
16	-0.006604	-0.0507	0.479857
17	-0.017179	-0.132	0.447735
18	-0.201586	-1.5484	0.063435
19	-0.030564	-0.2348	0.407601
20	-0.095305	-0.7321	0.233518
21	-0.317958	-2.4423	0.008805
22	-0.002947	-0.0226	0.49101
23	-0.022004	-0.169	0.433181
24	-0.110413	-0.8481	0.199906
25	-0.051647	-0.3967	0.346507
26	-0.028872	-0.2218	0.41263
27	-0.118564	-0.9107	0.183077
28	-0.024045	-0.1847	0.427051
29	0.0036	0.0277	0.489017
30	0.006658	0.0511	0.479694
31	0.059233	0.455	0.325397
32	-0.048497	-0.3725	0.355424
33	0.035078	0.2694	0.394265
34	0.019523	0.15	0.440656
35	-0.053843	-0.4136	0.340341
36	0.145072	1.1143	0.13483
37	0.002609	0.02	0.492041
38	0.034035	0.2614	0.397335
39	0.092474	0.7103	0.240157
40	-0.181372	-1.3931	0.084402
41	0.082828	0.6362	0.263548
42	0.013413	0.103	0.459145
43	-0.026143	-0.2008	0.420768
44	0.021008	0.1614	0.43618
45	0.010744	0.0825	0.467253
46	0.072484	0.5568	0.289899
47	-0.034934	-0.2683	0.394688
48	0.033217	0.2551	0.399748

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.006243 & 0.048 & 0.480958 \tabularnewline
2 & 0.113396 & 0.871 & 0.193639 \tabularnewline
3 & 0.242078 & 1.8594 & 0.033977 \tabularnewline
4 & -0.081713 & -0.6276 & 0.266328 \tabularnewline
5 & 0.12492 & 0.9595 & 0.170604 \tabularnewline
6 & 0.061679 & 0.4738 & 0.318707 \tabularnewline
7 & 0.073257 & 0.5627 & 0.287887 \tabularnewline
8 & -0.076232 & -0.5855 & 0.280206 \tabularnewline
9 & -0.00733 & -0.0563 & 0.477645 \tabularnewline
10 & -0.089168 & -0.6849 & 0.24804 \tabularnewline
11 & 0.022227 & 0.1707 & 0.432512 \tabularnewline
12 & -0.012772 & -0.0981 & 0.461092 \tabularnewline
13 & 0.027212 & 0.209 & 0.417577 \tabularnewline
14 & 0.001071 & 0.0082 & 0.496731 \tabularnewline
15 & -0.14631 & -1.1238 & 0.132819 \tabularnewline
16 & -0.006604 & -0.0507 & 0.479857 \tabularnewline
17 & -0.017179 & -0.132 & 0.447735 \tabularnewline
18 & -0.201586 & -1.5484 & 0.063435 \tabularnewline
19 & -0.030564 & -0.2348 & 0.407601 \tabularnewline
20 & -0.095305 & -0.7321 & 0.233518 \tabularnewline
21 & -0.317958 & -2.4423 & 0.008805 \tabularnewline
22 & -0.002947 & -0.0226 & 0.49101 \tabularnewline
23 & -0.022004 & -0.169 & 0.433181 \tabularnewline
24 & -0.110413 & -0.8481 & 0.199906 \tabularnewline
25 & -0.051647 & -0.3967 & 0.346507 \tabularnewline
26 & -0.028872 & -0.2218 & 0.41263 \tabularnewline
27 & -0.118564 & -0.9107 & 0.183077 \tabularnewline
28 & -0.024045 & -0.1847 & 0.427051 \tabularnewline
29 & 0.0036 & 0.0277 & 0.489017 \tabularnewline
30 & 0.006658 & 0.0511 & 0.479694 \tabularnewline
31 & 0.059233 & 0.455 & 0.325397 \tabularnewline
32 & -0.048497 & -0.3725 & 0.355424 \tabularnewline
33 & 0.035078 & 0.2694 & 0.394265 \tabularnewline
34 & 0.019523 & 0.15 & 0.440656 \tabularnewline
35 & -0.053843 & -0.4136 & 0.340341 \tabularnewline
36 & 0.145072 & 1.1143 & 0.13483 \tabularnewline
37 & 0.002609 & 0.02 & 0.492041 \tabularnewline
38 & 0.034035 & 0.2614 & 0.397335 \tabularnewline
39 & 0.092474 & 0.7103 & 0.240157 \tabularnewline
40 & -0.181372 & -1.3931 & 0.084402 \tabularnewline
41 & 0.082828 & 0.6362 & 0.263548 \tabularnewline
42 & 0.013413 & 0.103 & 0.459145 \tabularnewline
43 & -0.026143 & -0.2008 & 0.420768 \tabularnewline
44 & 0.021008 & 0.1614 & 0.43618 \tabularnewline
45 & 0.010744 & 0.0825 & 0.467253 \tabularnewline
46 & 0.072484 & 0.5568 & 0.289899 \tabularnewline
47 & -0.034934 & -0.2683 & 0.394688 \tabularnewline
48 & 0.033217 & 0.2551 & 0.399748 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117284&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]0.006243[/C][C]0.048[/C][C]0.480958[/C][/ROW]
[ROW][C]2[/C][C]0.113396[/C][C]0.871[/C][C]0.193639[/C][/ROW]
[ROW][C]3[/C][C]0.242078[/C][C]1.8594[/C][C]0.033977[/C][/ROW]
[ROW][C]4[/C][C]-0.081713[/C][C]-0.6276[/C][C]0.266328[/C][/ROW]
[ROW][C]5[/C][C]0.12492[/C][C]0.9595[/C][C]0.170604[/C][/ROW]
[ROW][C]6[/C][C]0.061679[/C][C]0.4738[/C][C]0.318707[/C][/ROW]
[ROW][C]7[/C][C]0.073257[/C][C]0.5627[/C][C]0.287887[/C][/ROW]
[ROW][C]8[/C][C]-0.076232[/C][C]-0.5855[/C][C]0.280206[/C][/ROW]
[ROW][C]9[/C][C]-0.00733[/C][C]-0.0563[/C][C]0.477645[/C][/ROW]
[ROW][C]10[/C][C]-0.089168[/C][C]-0.6849[/C][C]0.24804[/C][/ROW]
[ROW][C]11[/C][C]0.022227[/C][C]0.1707[/C][C]0.432512[/C][/ROW]
[ROW][C]12[/C][C]-0.012772[/C][C]-0.0981[/C][C]0.461092[/C][/ROW]
[ROW][C]13[/C][C]0.027212[/C][C]0.209[/C][C]0.417577[/C][/ROW]
[ROW][C]14[/C][C]0.001071[/C][C]0.0082[/C][C]0.496731[/C][/ROW]
[ROW][C]15[/C][C]-0.14631[/C][C]-1.1238[/C][C]0.132819[/C][/ROW]
[ROW][C]16[/C][C]-0.006604[/C][C]-0.0507[/C][C]0.479857[/C][/ROW]
[ROW][C]17[/C][C]-0.017179[/C][C]-0.132[/C][C]0.447735[/C][/ROW]
[ROW][C]18[/C][C]-0.201586[/C][C]-1.5484[/C][C]0.063435[/C][/ROW]
[ROW][C]19[/C][C]-0.030564[/C][C]-0.2348[/C][C]0.407601[/C][/ROW]
[ROW][C]20[/C][C]-0.095305[/C][C]-0.7321[/C][C]0.233518[/C][/ROW]
[ROW][C]21[/C][C]-0.317958[/C][C]-2.4423[/C][C]0.008805[/C][/ROW]
[ROW][C]22[/C][C]-0.002947[/C][C]-0.0226[/C][C]0.49101[/C][/ROW]
[ROW][C]23[/C][C]-0.022004[/C][C]-0.169[/C][C]0.433181[/C][/ROW]
[ROW][C]24[/C][C]-0.110413[/C][C]-0.8481[/C][C]0.199906[/C][/ROW]
[ROW][C]25[/C][C]-0.051647[/C][C]-0.3967[/C][C]0.346507[/C][/ROW]
[ROW][C]26[/C][C]-0.028872[/C][C]-0.2218[/C][C]0.41263[/C][/ROW]
[ROW][C]27[/C][C]-0.118564[/C][C]-0.9107[/C][C]0.183077[/C][/ROW]
[ROW][C]28[/C][C]-0.024045[/C][C]-0.1847[/C][C]0.427051[/C][/ROW]
[ROW][C]29[/C][C]0.0036[/C][C]0.0277[/C][C]0.489017[/C][/ROW]
[ROW][C]30[/C][C]0.006658[/C][C]0.0511[/C][C]0.479694[/C][/ROW]
[ROW][C]31[/C][C]0.059233[/C][C]0.455[/C][C]0.325397[/C][/ROW]
[ROW][C]32[/C][C]-0.048497[/C][C]-0.3725[/C][C]0.355424[/C][/ROW]
[ROW][C]33[/C][C]0.035078[/C][C]0.2694[/C][C]0.394265[/C][/ROW]
[ROW][C]34[/C][C]0.019523[/C][C]0.15[/C][C]0.440656[/C][/ROW]
[ROW][C]35[/C][C]-0.053843[/C][C]-0.4136[/C][C]0.340341[/C][/ROW]
[ROW][C]36[/C][C]0.145072[/C][C]1.1143[/C][C]0.13483[/C][/ROW]
[ROW][C]37[/C][C]0.002609[/C][C]0.02[/C][C]0.492041[/C][/ROW]
[ROW][C]38[/C][C]0.034035[/C][C]0.2614[/C][C]0.397335[/C][/ROW]
[ROW][C]39[/C][C]0.092474[/C][C]0.7103[/C][C]0.240157[/C][/ROW]
[ROW][C]40[/C][C]-0.181372[/C][C]-1.3931[/C][C]0.084402[/C][/ROW]
[ROW][C]41[/C][C]0.082828[/C][C]0.6362[/C][C]0.263548[/C][/ROW]
[ROW][C]42[/C][C]0.013413[/C][C]0.103[/C][C]0.459145[/C][/ROW]
[ROW][C]43[/C][C]-0.026143[/C][C]-0.2008[/C][C]0.420768[/C][/ROW]
[ROW][C]44[/C][C]0.021008[/C][C]0.1614[/C][C]0.43618[/C][/ROW]
[ROW][C]45[/C][C]0.010744[/C][C]0.0825[/C][C]0.467253[/C][/ROW]
[ROW][C]46[/C][C]0.072484[/C][C]0.5568[/C][C]0.289899[/C][/ROW]
[ROW][C]47[/C][C]-0.034934[/C][C]-0.2683[/C][C]0.394688[/C][/ROW]
[ROW][C]48[/C][C]0.033217[/C][C]0.2551[/C][C]0.399748[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117284&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117284&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	0.006243	0.048	0.480958
2	0.113396	0.871	0.193639
3	0.242078	1.8594	0.033977
4	-0.081713	-0.6276	0.266328
5	0.12492	0.9595	0.170604
6	0.061679	0.4738	0.318707
7	0.073257	0.5627	0.287887
8	-0.076232	-0.5855	0.280206
9	-0.00733	-0.0563	0.477645
10	-0.089168	-0.6849	0.24804
11	0.022227	0.1707	0.432512
12	-0.012772	-0.0981	0.461092
13	0.027212	0.209	0.417577
14	0.001071	0.0082	0.496731
15	-0.14631	-1.1238	0.132819
16	-0.006604	-0.0507	0.479857
17	-0.017179	-0.132	0.447735
18	-0.201586	-1.5484	0.063435
19	-0.030564	-0.2348	0.407601
20	-0.095305	-0.7321	0.233518
21	-0.317958	-2.4423	0.008805
22	-0.002947	-0.0226	0.49101
23	-0.022004	-0.169	0.433181
24	-0.110413	-0.8481	0.199906
25	-0.051647	-0.3967	0.346507
26	-0.028872	-0.2218	0.41263
27	-0.118564	-0.9107	0.183077
28	-0.024045	-0.1847	0.427051
29	0.0036	0.0277	0.489017
30	0.006658	0.0511	0.479694
31	0.059233	0.455	0.325397
32	-0.048497	-0.3725	0.355424
33	0.035078	0.2694	0.394265
34	0.019523	0.15	0.440656
35	-0.053843	-0.4136	0.340341
36	0.145072	1.1143	0.13483
37	0.002609	0.02	0.492041
38	0.034035	0.2614	0.397335
39	0.092474	0.7103	0.240157
40	-0.181372	-1.3931	0.084402
41	0.082828	0.6362	0.263548
42	0.013413	0.103	0.459145
43	-0.026143	-0.2008	0.420768
44	0.021008	0.1614	0.43618
45	0.010744	0.0825	0.467253
46	0.072484	0.5568	0.289899
47	-0.034934	-0.2683	0.394688
48	0.033217	0.2551	0.399748

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.006243	0.048	0.480958
2	0.113362	0.8707	0.193711
3	0.243887	1.8733	0.032989
4	-0.09757	-0.7495	0.228281
5	0.074486	0.5721	0.284701
6	0.025642	0.197	0.422268
7	0.102466	0.7871	0.2172
8	-0.15613	-1.1993	0.117611
9	-0.026161	-0.2009	0.420717
10	-0.120774	-0.9277	0.178675
11	0.106473	0.8178	0.208371
12	-0.040588	-0.3118	0.378161
13	0.097429	0.7484	0.228605
14	-0.056519	-0.4341	0.33289
15	-0.090233	-0.6931	0.245486
16	-0.060126	-0.4618	0.322949
17	0.060877	0.4676	0.320895
18	-0.228509	-1.7552	0.042207
19	-0.021396	-0.1643	0.435011
20	-0.097253	-0.747	0.22901
21	-0.188582	-1.4485	0.076382
22	-0.009983	-0.0767	0.469568
23	0.119835	0.9205	0.180538
24	-0.023221	-0.1784	0.429523
25	-0.09443	-0.7253	0.235558
26	-0.008047	-0.0618	0.475463
27	-0.0642	-0.4931	0.311875
28	-0.012565	-0.0965	0.461719
29	-0.053993	-0.4147	0.339923
30	0.031538	0.2423	0.404713
31	0.04037	0.3101	0.378792
32	0.002743	0.0211	0.491629
33	-0.02168	-0.1665	0.434157
34	0.06128	0.4707	0.319796
35	-0.126078	-0.9684	0.168392
36	0.055935	0.4296	0.334509
37	-0.039834	-0.306	0.380353
38	0.077717	0.597	0.276411
39	-0.10481	-0.8051	0.212008
40	-0.198065	-1.5214	0.066755
41	0.021595	0.1659	0.434412
42	-0.038487	-0.2956	0.384277
43	-0.015046	-0.1156	0.454193
44	-0.03174	-0.2438	0.404115
45	0.003433	0.0264	0.489525
46	0.060736	0.4665	0.321279
47	-0.032614	-0.2505	0.401532
48	-0.074959	-0.5758	0.283479

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.006243 & 0.048 & 0.480958 \tabularnewline
2 & 0.113362 & 0.8707 & 0.193711 \tabularnewline
3 & 0.243887 & 1.8733 & 0.032989 \tabularnewline
4 & -0.09757 & -0.7495 & 0.228281 \tabularnewline
5 & 0.074486 & 0.5721 & 0.284701 \tabularnewline
6 & 0.025642 & 0.197 & 0.422268 \tabularnewline
7 & 0.102466 & 0.7871 & 0.2172 \tabularnewline
8 & -0.15613 & -1.1993 & 0.117611 \tabularnewline
9 & -0.026161 & -0.2009 & 0.420717 \tabularnewline
10 & -0.120774 & -0.9277 & 0.178675 \tabularnewline
11 & 0.106473 & 0.8178 & 0.208371 \tabularnewline
12 & -0.040588 & -0.3118 & 0.378161 \tabularnewline
13 & 0.097429 & 0.7484 & 0.228605 \tabularnewline
14 & -0.056519 & -0.4341 & 0.33289 \tabularnewline
15 & -0.090233 & -0.6931 & 0.245486 \tabularnewline
16 & -0.060126 & -0.4618 & 0.322949 \tabularnewline
17 & 0.060877 & 0.4676 & 0.320895 \tabularnewline
18 & -0.228509 & -1.7552 & 0.042207 \tabularnewline
19 & -0.021396 & -0.1643 & 0.435011 \tabularnewline
20 & -0.097253 & -0.747 & 0.22901 \tabularnewline
21 & -0.188582 & -1.4485 & 0.076382 \tabularnewline
22 & -0.009983 & -0.0767 & 0.469568 \tabularnewline
23 & 0.119835 & 0.9205 & 0.180538 \tabularnewline
24 & -0.023221 & -0.1784 & 0.429523 \tabularnewline
25 & -0.09443 & -0.7253 & 0.235558 \tabularnewline
26 & -0.008047 & -0.0618 & 0.475463 \tabularnewline
27 & -0.0642 & -0.4931 & 0.311875 \tabularnewline
28 & -0.012565 & -0.0965 & 0.461719 \tabularnewline
29 & -0.053993 & -0.4147 & 0.339923 \tabularnewline
30 & 0.031538 & 0.2423 & 0.404713 \tabularnewline
31 & 0.04037 & 0.3101 & 0.378792 \tabularnewline
32 & 0.002743 & 0.0211 & 0.491629 \tabularnewline
33 & -0.02168 & -0.1665 & 0.434157 \tabularnewline
34 & 0.06128 & 0.4707 & 0.319796 \tabularnewline
35 & -0.126078 & -0.9684 & 0.168392 \tabularnewline
36 & 0.055935 & 0.4296 & 0.334509 \tabularnewline
37 & -0.039834 & -0.306 & 0.380353 \tabularnewline
38 & 0.077717 & 0.597 & 0.276411 \tabularnewline
39 & -0.10481 & -0.8051 & 0.212008 \tabularnewline
40 & -0.198065 & -1.5214 & 0.066755 \tabularnewline
41 & 0.021595 & 0.1659 & 0.434412 \tabularnewline
42 & -0.038487 & -0.2956 & 0.384277 \tabularnewline
43 & -0.015046 & -0.1156 & 0.454193 \tabularnewline
44 & -0.03174 & -0.2438 & 0.404115 \tabularnewline
45 & 0.003433 & 0.0264 & 0.489525 \tabularnewline
46 & 0.060736 & 0.4665 & 0.321279 \tabularnewline
47 & -0.032614 & -0.2505 & 0.401532 \tabularnewline
48 & -0.074959 & -0.5758 & 0.283479 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117284&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]0.006243[/C][C]0.048[/C][C]0.480958[/C][/ROW]
[ROW][C]2[/C][C]0.113362[/C][C]0.8707[/C][C]0.193711[/C][/ROW]
[ROW][C]3[/C][C]0.243887[/C][C]1.8733[/C][C]0.032989[/C][/ROW]
[ROW][C]4[/C][C]-0.09757[/C][C]-0.7495[/C][C]0.228281[/C][/ROW]
[ROW][C]5[/C][C]0.074486[/C][C]0.5721[/C][C]0.284701[/C][/ROW]
[ROW][C]6[/C][C]0.025642[/C][C]0.197[/C][C]0.422268[/C][/ROW]
[ROW][C]7[/C][C]0.102466[/C][C]0.7871[/C][C]0.2172[/C][/ROW]
[ROW][C]8[/C][C]-0.15613[/C][C]-1.1993[/C][C]0.117611[/C][/ROW]
[ROW][C]9[/C][C]-0.026161[/C][C]-0.2009[/C][C]0.420717[/C][/ROW]
[ROW][C]10[/C][C]-0.120774[/C][C]-0.9277[/C][C]0.178675[/C][/ROW]
[ROW][C]11[/C][C]0.106473[/C][C]0.8178[/C][C]0.208371[/C][/ROW]
[ROW][C]12[/C][C]-0.040588[/C][C]-0.3118[/C][C]0.378161[/C][/ROW]
[ROW][C]13[/C][C]0.097429[/C][C]0.7484[/C][C]0.228605[/C][/ROW]
[ROW][C]14[/C][C]-0.056519[/C][C]-0.4341[/C][C]0.33289[/C][/ROW]
[ROW][C]15[/C][C]-0.090233[/C][C]-0.6931[/C][C]0.245486[/C][/ROW]
[ROW][C]16[/C][C]-0.060126[/C][C]-0.4618[/C][C]0.322949[/C][/ROW]
[ROW][C]17[/C][C]0.060877[/C][C]0.4676[/C][C]0.320895[/C][/ROW]
[ROW][C]18[/C][C]-0.228509[/C][C]-1.7552[/C][C]0.042207[/C][/ROW]
[ROW][C]19[/C][C]-0.021396[/C][C]-0.1643[/C][C]0.435011[/C][/ROW]
[ROW][C]20[/C][C]-0.097253[/C][C]-0.747[/C][C]0.22901[/C][/ROW]
[ROW][C]21[/C][C]-0.188582[/C][C]-1.4485[/C][C]0.076382[/C][/ROW]
[ROW][C]22[/C][C]-0.009983[/C][C]-0.0767[/C][C]0.469568[/C][/ROW]
[ROW][C]23[/C][C]0.119835[/C][C]0.9205[/C][C]0.180538[/C][/ROW]
[ROW][C]24[/C][C]-0.023221[/C][C]-0.1784[/C][C]0.429523[/C][/ROW]
[ROW][C]25[/C][C]-0.09443[/C][C]-0.7253[/C][C]0.235558[/C][/ROW]
[ROW][C]26[/C][C]-0.008047[/C][C]-0.0618[/C][C]0.475463[/C][/ROW]
[ROW][C]27[/C][C]-0.0642[/C][C]-0.4931[/C][C]0.311875[/C][/ROW]
[ROW][C]28[/C][C]-0.012565[/C][C]-0.0965[/C][C]0.461719[/C][/ROW]
[ROW][C]29[/C][C]-0.053993[/C][C]-0.4147[/C][C]0.339923[/C][/ROW]
[ROW][C]30[/C][C]0.031538[/C][C]0.2423[/C][C]0.404713[/C][/ROW]
[ROW][C]31[/C][C]0.04037[/C][C]0.3101[/C][C]0.378792[/C][/ROW]
[ROW][C]32[/C][C]0.002743[/C][C]0.0211[/C][C]0.491629[/C][/ROW]
[ROW][C]33[/C][C]-0.02168[/C][C]-0.1665[/C][C]0.434157[/C][/ROW]
[ROW][C]34[/C][C]0.06128[/C][C]0.4707[/C][C]0.319796[/C][/ROW]
[ROW][C]35[/C][C]-0.126078[/C][C]-0.9684[/C][C]0.168392[/C][/ROW]
[ROW][C]36[/C][C]0.055935[/C][C]0.4296[/C][C]0.334509[/C][/ROW]
[ROW][C]37[/C][C]-0.039834[/C][C]-0.306[/C][C]0.380353[/C][/ROW]
[ROW][C]38[/C][C]0.077717[/C][C]0.597[/C][C]0.276411[/C][/ROW]
[ROW][C]39[/C][C]-0.10481[/C][C]-0.8051[/C][C]0.212008[/C][/ROW]
[ROW][C]40[/C][C]-0.198065[/C][C]-1.5214[/C][C]0.066755[/C][/ROW]
[ROW][C]41[/C][C]0.021595[/C][C]0.1659[/C][C]0.434412[/C][/ROW]
[ROW][C]42[/C][C]-0.038487[/C][C]-0.2956[/C][C]0.384277[/C][/ROW]
[ROW][C]43[/C][C]-0.015046[/C][C]-0.1156[/C][C]0.454193[/C][/ROW]
[ROW][C]44[/C][C]-0.03174[/C][C]-0.2438[/C][C]0.404115[/C][/ROW]
[ROW][C]45[/C][C]0.003433[/C][C]0.0264[/C][C]0.489525[/C][/ROW]
[ROW][C]46[/C][C]0.060736[/C][C]0.4665[/C][C]0.321279[/C][/ROW]
[ROW][C]47[/C][C]-0.032614[/C][C]-0.2505[/C][C]0.401532[/C][/ROW]
[ROW][C]48[/C][C]-0.074959[/C][C]-0.5758[/C][C]0.283479[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117284&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117284&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	0.006243	0.048	0.480958
2	0.113362	0.8707	0.193711
3	0.243887	1.8733	0.032989
4	-0.09757	-0.7495	0.228281
5	0.074486	0.5721	0.284701
6	0.025642	0.197	0.422268
7	0.102466	0.7871	0.2172
8	-0.15613	-1.1993	0.117611
9	-0.026161	-0.2009	0.420717
10	-0.120774	-0.9277	0.178675
11	0.106473	0.8178	0.208371
12	-0.040588	-0.3118	0.378161
13	0.097429	0.7484	0.228605
14	-0.056519	-0.4341	0.33289
15	-0.090233	-0.6931	0.245486
16	-0.060126	-0.4618	0.322949
17	0.060877	0.4676	0.320895
18	-0.228509	-1.7552	0.042207
19	-0.021396	-0.1643	0.435011
20	-0.097253	-0.747	0.22901
21	-0.188582	-1.4485	0.076382
22	-0.009983	-0.0767	0.469568
23	0.119835	0.9205	0.180538
24	-0.023221	-0.1784	0.429523
25	-0.09443	-0.7253	0.235558
26	-0.008047	-0.0618	0.475463
27	-0.0642	-0.4931	0.311875
28	-0.012565	-0.0965	0.461719
29	-0.053993	-0.4147	0.339923
30	0.031538	0.2423	0.404713
31	0.04037	0.3101	0.378792
32	0.002743	0.0211	0.491629
33	-0.02168	-0.1665	0.434157
34	0.06128	0.4707	0.319796
35	-0.126078	-0.9684	0.168392
36	0.055935	0.4296	0.334509
37	-0.039834	-0.306	0.380353
38	0.077717	0.597	0.276411
39	-0.10481	-0.8051	0.212008
40	-0.198065	-1.5214	0.066755
41	0.021595	0.1659	0.434412
42	-0.038487	-0.2956	0.384277
43	-0.015046	-0.1156	0.454193
44	-0.03174	-0.2438	0.404115
45	0.003433	0.0264	0.489525
46	0.060736	0.4665	0.321279
47	-0.032614	-0.2505	0.401532
48	-0.074959	-0.5758	0.283479

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 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

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