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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Tue, 15 Dec 2009 07:28:42 -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/2009/Dec/15/t1260887374r0lzys9sqxdxyot.htm/, Retrieved Wed, 08 May 2024 08:36:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=67926, Retrieved Wed, 08 May 2024 08:36:08 +0000

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100

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-     [(Partial) Autocorrelation Function] [Autocorrelatiefun...] [2008-12-17 21:46:14] [74be16979710d4c4e7c6647856088456]
-  MP     [(Partial) Autocorrelation Function] [] [2009-12-15 14:28:42] [efd540d63f04881f500eb7fad70c8699] [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=67926&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=67926&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67926&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	-0.244633	-4.8558	1e-06
2	-0.008103	-0.1608	0.436148
3	-0.080074	-1.5894	0.056384
4	0.070287	1.3952	0.081878
5	-0.041361	-0.821	0.206073
6	-0.031344	-0.6222	0.267098
7	-0.070907	-1.4075	0.080039
8	0.097957	1.9444	0.02628
9	-0.090878	-1.8039	0.036007
10	-0.034888	-0.6925	0.244513
11	0.121223	2.4062	0.008289
12	-0.044001	-0.8734	0.191492
13	0.043689	0.8672	0.19318
14	-0.103068	-2.0458	0.020717
15	-0.013061	-0.2592	0.397791
16	0.105481	2.0937	0.018461
17	-0.003066	-0.0609	0.475754
18	0.005863	0.1164	0.453708
19	0.005427	0.1077	0.457135
20	-0.041723	-0.8282	0.204033
21	0.075769	1.504	0.066694
22	-0.069852	-1.3865	0.083187
23	0.016321	0.324	0.373068
24	0.030346	0.6023	0.273645
25	0.020204	0.401	0.344304
26	-0.025613	-0.5084	0.305725
27	0.030009	0.5957	0.275872
28	-0.069223	-1.374	0.085104
29	0.06002	1.1914	0.117114
30	-0.025954	-0.5152	0.303362
31	0.035651	0.7077	0.23979
32	-0.00412	-0.0818	0.467429
33	-0.124989	-2.481	0.00676
34	0.061463	1.22	0.111597
35	-0.025854	-0.5132	0.304053
36	0.034833	0.6914	0.244854
37	-0.069631	-1.3821	0.083857
38	0.040325	0.8004	0.211974
39	0.007973	0.1583	0.43717
40	0.054161	1.0751	0.141501
41	-0.037336	-0.7411	0.229539
42	0.026874	0.5334	0.297018
43	0.033822	0.6714	0.251194
44	-0.052403	-1.0402	0.149449
45	-0.000945	-0.0188	0.49252
46	-0.004298	-0.0853	0.466028
47	0.090132	1.7891	0.037185
48	-0.02887	-0.573	0.283471

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.244633 & -4.8558 & 1e-06 \tabularnewline
2 & -0.008103 & -0.1608 & 0.436148 \tabularnewline
3 & -0.080074 & -1.5894 & 0.056384 \tabularnewline
4 & 0.070287 & 1.3952 & 0.081878 \tabularnewline
5 & -0.041361 & -0.821 & 0.206073 \tabularnewline
6 & -0.031344 & -0.6222 & 0.267098 \tabularnewline
7 & -0.070907 & -1.4075 & 0.080039 \tabularnewline
8 & 0.097957 & 1.9444 & 0.02628 \tabularnewline
9 & -0.090878 & -1.8039 & 0.036007 \tabularnewline
10 & -0.034888 & -0.6925 & 0.244513 \tabularnewline
11 & 0.121223 & 2.4062 & 0.008289 \tabularnewline
12 & -0.044001 & -0.8734 & 0.191492 \tabularnewline
13 & 0.043689 & 0.8672 & 0.19318 \tabularnewline
14 & -0.103068 & -2.0458 & 0.020717 \tabularnewline
15 & -0.013061 & -0.2592 & 0.397791 \tabularnewline
16 & 0.105481 & 2.0937 & 0.018461 \tabularnewline
17 & -0.003066 & -0.0609 & 0.475754 \tabularnewline
18 & 0.005863 & 0.1164 & 0.453708 \tabularnewline
19 & 0.005427 & 0.1077 & 0.457135 \tabularnewline
20 & -0.041723 & -0.8282 & 0.204033 \tabularnewline
21 & 0.075769 & 1.504 & 0.066694 \tabularnewline
22 & -0.069852 & -1.3865 & 0.083187 \tabularnewline
23 & 0.016321 & 0.324 & 0.373068 \tabularnewline
24 & 0.030346 & 0.6023 & 0.273645 \tabularnewline
25 & 0.020204 & 0.401 & 0.344304 \tabularnewline
26 & -0.025613 & -0.5084 & 0.305725 \tabularnewline
27 & 0.030009 & 0.5957 & 0.275872 \tabularnewline
28 & -0.069223 & -1.374 & 0.085104 \tabularnewline
29 & 0.06002 & 1.1914 & 0.117114 \tabularnewline
30 & -0.025954 & -0.5152 & 0.303362 \tabularnewline
31 & 0.035651 & 0.7077 & 0.23979 \tabularnewline
32 & -0.00412 & -0.0818 & 0.467429 \tabularnewline
33 & -0.124989 & -2.481 & 0.00676 \tabularnewline
34 & 0.061463 & 1.22 & 0.111597 \tabularnewline
35 & -0.025854 & -0.5132 & 0.304053 \tabularnewline
36 & 0.034833 & 0.6914 & 0.244854 \tabularnewline
37 & -0.069631 & -1.3821 & 0.083857 \tabularnewline
38 & 0.040325 & 0.8004 & 0.211974 \tabularnewline
39 & 0.007973 & 0.1583 & 0.43717 \tabularnewline
40 & 0.054161 & 1.0751 & 0.141501 \tabularnewline
41 & -0.037336 & -0.7411 & 0.229539 \tabularnewline
42 & 0.026874 & 0.5334 & 0.297018 \tabularnewline
43 & 0.033822 & 0.6714 & 0.251194 \tabularnewline
44 & -0.052403 & -1.0402 & 0.149449 \tabularnewline
45 & -0.000945 & -0.0188 & 0.49252 \tabularnewline
46 & -0.004298 & -0.0853 & 0.466028 \tabularnewline
47 & 0.090132 & 1.7891 & 0.037185 \tabularnewline
48 & -0.02887 & -0.573 & 0.283471 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67926&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]-0.244633[/C][C]-4.8558[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.008103[/C][C]-0.1608[/C][C]0.436148[/C][/ROW]
[ROW][C]3[/C][C]-0.080074[/C][C]-1.5894[/C][C]0.056384[/C][/ROW]
[ROW][C]4[/C][C]0.070287[/C][C]1.3952[/C][C]0.081878[/C][/ROW]
[ROW][C]5[/C][C]-0.041361[/C][C]-0.821[/C][C]0.206073[/C][/ROW]
[ROW][C]6[/C][C]-0.031344[/C][C]-0.6222[/C][C]0.267098[/C][/ROW]
[ROW][C]7[/C][C]-0.070907[/C][C]-1.4075[/C][C]0.080039[/C][/ROW]
[ROW][C]8[/C][C]0.097957[/C][C]1.9444[/C][C]0.02628[/C][/ROW]
[ROW][C]9[/C][C]-0.090878[/C][C]-1.8039[/C][C]0.036007[/C][/ROW]
[ROW][C]10[/C][C]-0.034888[/C][C]-0.6925[/C][C]0.244513[/C][/ROW]
[ROW][C]11[/C][C]0.121223[/C][C]2.4062[/C][C]0.008289[/C][/ROW]
[ROW][C]12[/C][C]-0.044001[/C][C]-0.8734[/C][C]0.191492[/C][/ROW]
[ROW][C]13[/C][C]0.043689[/C][C]0.8672[/C][C]0.19318[/C][/ROW]
[ROW][C]14[/C][C]-0.103068[/C][C]-2.0458[/C][C]0.020717[/C][/ROW]
[ROW][C]15[/C][C]-0.013061[/C][C]-0.2592[/C][C]0.397791[/C][/ROW]
[ROW][C]16[/C][C]0.105481[/C][C]2.0937[/C][C]0.018461[/C][/ROW]
[ROW][C]17[/C][C]-0.003066[/C][C]-0.0609[/C][C]0.475754[/C][/ROW]
[ROW][C]18[/C][C]0.005863[/C][C]0.1164[/C][C]0.453708[/C][/ROW]
[ROW][C]19[/C][C]0.005427[/C][C]0.1077[/C][C]0.457135[/C][/ROW]
[ROW][C]20[/C][C]-0.041723[/C][C]-0.8282[/C][C]0.204033[/C][/ROW]
[ROW][C]21[/C][C]0.075769[/C][C]1.504[/C][C]0.066694[/C][/ROW]
[ROW][C]22[/C][C]-0.069852[/C][C]-1.3865[/C][C]0.083187[/C][/ROW]
[ROW][C]23[/C][C]0.016321[/C][C]0.324[/C][C]0.373068[/C][/ROW]
[ROW][C]24[/C][C]0.030346[/C][C]0.6023[/C][C]0.273645[/C][/ROW]
[ROW][C]25[/C][C]0.020204[/C][C]0.401[/C][C]0.344304[/C][/ROW]
[ROW][C]26[/C][C]-0.025613[/C][C]-0.5084[/C][C]0.305725[/C][/ROW]
[ROW][C]27[/C][C]0.030009[/C][C]0.5957[/C][C]0.275872[/C][/ROW]
[ROW][C]28[/C][C]-0.069223[/C][C]-1.374[/C][C]0.085104[/C][/ROW]
[ROW][C]29[/C][C]0.06002[/C][C]1.1914[/C][C]0.117114[/C][/ROW]
[ROW][C]30[/C][C]-0.025954[/C][C]-0.5152[/C][C]0.303362[/C][/ROW]
[ROW][C]31[/C][C]0.035651[/C][C]0.7077[/C][C]0.23979[/C][/ROW]
[ROW][C]32[/C][C]-0.00412[/C][C]-0.0818[/C][C]0.467429[/C][/ROW]
[ROW][C]33[/C][C]-0.124989[/C][C]-2.481[/C][C]0.00676[/C][/ROW]
[ROW][C]34[/C][C]0.061463[/C][C]1.22[/C][C]0.111597[/C][/ROW]
[ROW][C]35[/C][C]-0.025854[/C][C]-0.5132[/C][C]0.304053[/C][/ROW]
[ROW][C]36[/C][C]0.034833[/C][C]0.6914[/C][C]0.244854[/C][/ROW]
[ROW][C]37[/C][C]-0.069631[/C][C]-1.3821[/C][C]0.083857[/C][/ROW]
[ROW][C]38[/C][C]0.040325[/C][C]0.8004[/C][C]0.211974[/C][/ROW]
[ROW][C]39[/C][C]0.007973[/C][C]0.1583[/C][C]0.43717[/C][/ROW]
[ROW][C]40[/C][C]0.054161[/C][C]1.0751[/C][C]0.141501[/C][/ROW]
[ROW][C]41[/C][C]-0.037336[/C][C]-0.7411[/C][C]0.229539[/C][/ROW]
[ROW][C]42[/C][C]0.026874[/C][C]0.5334[/C][C]0.297018[/C][/ROW]
[ROW][C]43[/C][C]0.033822[/C][C]0.6714[/C][C]0.251194[/C][/ROW]
[ROW][C]44[/C][C]-0.052403[/C][C]-1.0402[/C][C]0.149449[/C][/ROW]
[ROW][C]45[/C][C]-0.000945[/C][C]-0.0188[/C][C]0.49252[/C][/ROW]
[ROW][C]46[/C][C]-0.004298[/C][C]-0.0853[/C][C]0.466028[/C][/ROW]
[ROW][C]47[/C][C]0.090132[/C][C]1.7891[/C][C]0.037185[/C][/ROW]
[ROW][C]48[/C][C]-0.02887[/C][C]-0.573[/C][C]0.283471[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67926&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67926&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	-0.244633	-4.8558	1e-06
2	-0.008103	-0.1608	0.436148
3	-0.080074	-1.5894	0.056384
4	0.070287	1.3952	0.081878
5	-0.041361	-0.821	0.206073
6	-0.031344	-0.6222	0.267098
7	-0.070907	-1.4075	0.080039
8	0.097957	1.9444	0.02628
9	-0.090878	-1.8039	0.036007
10	-0.034888	-0.6925	0.244513
11	0.121223	2.4062	0.008289
12	-0.044001	-0.8734	0.191492
13	0.043689	0.8672	0.19318
14	-0.103068	-2.0458	0.020717
15	-0.013061	-0.2592	0.397791
16	0.105481	2.0937	0.018461
17	-0.003066	-0.0609	0.475754
18	0.005863	0.1164	0.453708
19	0.005427	0.1077	0.457135
20	-0.041723	-0.8282	0.204033
21	0.075769	1.504	0.066694
22	-0.069852	-1.3865	0.083187
23	0.016321	0.324	0.373068
24	0.030346	0.6023	0.273645
25	0.020204	0.401	0.344304
26	-0.025613	-0.5084	0.305725
27	0.030009	0.5957	0.275872
28	-0.069223	-1.374	0.085104
29	0.06002	1.1914	0.117114
30	-0.025954	-0.5152	0.303362
31	0.035651	0.7077	0.23979
32	-0.00412	-0.0818	0.467429
33	-0.124989	-2.481	0.00676
34	0.061463	1.22	0.111597
35	-0.025854	-0.5132	0.304053
36	0.034833	0.6914	0.244854
37	-0.069631	-1.3821	0.083857
38	0.040325	0.8004	0.211974
39	0.007973	0.1583	0.43717
40	0.054161	1.0751	0.141501
41	-0.037336	-0.7411	0.229539
42	0.026874	0.5334	0.297018
43	0.033822	0.6714	0.251194
44	-0.052403	-1.0402	0.149449
45	-0.000945	-0.0188	0.49252
46	-0.004298	-0.0853	0.466028
47	0.090132	1.7891	0.037185
48	-0.02887	-0.573	0.283471

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.244633	-4.8558	1e-06
2	-0.072274	-1.4346	0.076098
3	-0.106795	-2.1198	0.017323
4	0.023498	0.4664	0.320584
5	-0.027558	-0.547	0.292344
6	-0.054339	-1.0786	0.140714
7	-0.096221	-1.9099	0.028434
8	0.046602	0.925	0.177758
9	-0.073548	-1.4599	0.072558
10	-0.085864	-1.7043	0.044553
11	0.105528	2.0947	0.018419
12	-0.021943	-0.4356	0.331698
13	0.037392	0.7422	0.229199
14	-0.074854	-1.4858	0.069065
15	-0.077143	-1.5312	0.063256
16	0.078088	1.55	0.060972
17	0.037304	0.7405	0.229732
18	0.04619	0.9168	0.179893
19	0.009776	0.1941	0.423118
20	-0.031753	-0.6303	0.264439
21	0.059931	1.1896	0.11746
22	-0.039872	-0.7914	0.214582
23	0.011021	0.2188	0.413473
24	0.020262	0.4022	0.34388
25	0.060864	1.2081	0.113863
26	0.018646	0.3701	0.355752
27	0.018736	0.3719	0.355081
28	-0.055401	-1.0997	0.136072
29	-0.005145	-0.1021	0.459355
30	0.028703	0.5697	0.284592
31	0.054226	1.0764	0.141213
32	0.009903	0.1966	0.422131
33	-0.131516	-2.6105	0.004693
34	-0.008113	-0.161	0.43607
35	-0.034541	-0.6856	0.246678
36	0.016848	0.3344	0.369119
37	-0.071024	-1.4098	0.079696
38	0.001131	0.0225	0.491049
39	0.031819	0.6316	0.264012
40	0.032688	0.6488	0.258411
41	0.012375	0.2456	0.403048
42	-0.041512	-0.824	0.205222
43	0.048911	0.9709	0.166109
44	-0.003515	-0.0698	0.472207
45	0.001331	0.0264	0.489471
46	0.002653	0.0527	0.479014
47	0.053658	1.0651	0.143747
48	0.028174	0.5592	0.288159

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.244633 & -4.8558 & 1e-06 \tabularnewline
2 & -0.072274 & -1.4346 & 0.076098 \tabularnewline
3 & -0.106795 & -2.1198 & 0.017323 \tabularnewline
4 & 0.023498 & 0.4664 & 0.320584 \tabularnewline
5 & -0.027558 & -0.547 & 0.292344 \tabularnewline
6 & -0.054339 & -1.0786 & 0.140714 \tabularnewline
7 & -0.096221 & -1.9099 & 0.028434 \tabularnewline
8 & 0.046602 & 0.925 & 0.177758 \tabularnewline
9 & -0.073548 & -1.4599 & 0.072558 \tabularnewline
10 & -0.085864 & -1.7043 & 0.044553 \tabularnewline
11 & 0.105528 & 2.0947 & 0.018419 \tabularnewline
12 & -0.021943 & -0.4356 & 0.331698 \tabularnewline
13 & 0.037392 & 0.7422 & 0.229199 \tabularnewline
14 & -0.074854 & -1.4858 & 0.069065 \tabularnewline
15 & -0.077143 & -1.5312 & 0.063256 \tabularnewline
16 & 0.078088 & 1.55 & 0.060972 \tabularnewline
17 & 0.037304 & 0.7405 & 0.229732 \tabularnewline
18 & 0.04619 & 0.9168 & 0.179893 \tabularnewline
19 & 0.009776 & 0.1941 & 0.423118 \tabularnewline
20 & -0.031753 & -0.6303 & 0.264439 \tabularnewline
21 & 0.059931 & 1.1896 & 0.11746 \tabularnewline
22 & -0.039872 & -0.7914 & 0.214582 \tabularnewline
23 & 0.011021 & 0.2188 & 0.413473 \tabularnewline
24 & 0.020262 & 0.4022 & 0.34388 \tabularnewline
25 & 0.060864 & 1.2081 & 0.113863 \tabularnewline
26 & 0.018646 & 0.3701 & 0.355752 \tabularnewline
27 & 0.018736 & 0.3719 & 0.355081 \tabularnewline
28 & -0.055401 & -1.0997 & 0.136072 \tabularnewline
29 & -0.005145 & -0.1021 & 0.459355 \tabularnewline
30 & 0.028703 & 0.5697 & 0.284592 \tabularnewline
31 & 0.054226 & 1.0764 & 0.141213 \tabularnewline
32 & 0.009903 & 0.1966 & 0.422131 \tabularnewline
33 & -0.131516 & -2.6105 & 0.004693 \tabularnewline
34 & -0.008113 & -0.161 & 0.43607 \tabularnewline
35 & -0.034541 & -0.6856 & 0.246678 \tabularnewline
36 & 0.016848 & 0.3344 & 0.369119 \tabularnewline
37 & -0.071024 & -1.4098 & 0.079696 \tabularnewline
38 & 0.001131 & 0.0225 & 0.491049 \tabularnewline
39 & 0.031819 & 0.6316 & 0.264012 \tabularnewline
40 & 0.032688 & 0.6488 & 0.258411 \tabularnewline
41 & 0.012375 & 0.2456 & 0.403048 \tabularnewline
42 & -0.041512 & -0.824 & 0.205222 \tabularnewline
43 & 0.048911 & 0.9709 & 0.166109 \tabularnewline
44 & -0.003515 & -0.0698 & 0.472207 \tabularnewline
45 & 0.001331 & 0.0264 & 0.489471 \tabularnewline
46 & 0.002653 & 0.0527 & 0.479014 \tabularnewline
47 & 0.053658 & 1.0651 & 0.143747 \tabularnewline
48 & 0.028174 & 0.5592 & 0.288159 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67926&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]-0.244633[/C][C]-4.8558[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.072274[/C][C]-1.4346[/C][C]0.076098[/C][/ROW]
[ROW][C]3[/C][C]-0.106795[/C][C]-2.1198[/C][C]0.017323[/C][/ROW]
[ROW][C]4[/C][C]0.023498[/C][C]0.4664[/C][C]0.320584[/C][/ROW]
[ROW][C]5[/C][C]-0.027558[/C][C]-0.547[/C][C]0.292344[/C][/ROW]
[ROW][C]6[/C][C]-0.054339[/C][C]-1.0786[/C][C]0.140714[/C][/ROW]
[ROW][C]7[/C][C]-0.096221[/C][C]-1.9099[/C][C]0.028434[/C][/ROW]
[ROW][C]8[/C][C]0.046602[/C][C]0.925[/C][C]0.177758[/C][/ROW]
[ROW][C]9[/C][C]-0.073548[/C][C]-1.4599[/C][C]0.072558[/C][/ROW]
[ROW][C]10[/C][C]-0.085864[/C][C]-1.7043[/C][C]0.044553[/C][/ROW]
[ROW][C]11[/C][C]0.105528[/C][C]2.0947[/C][C]0.018419[/C][/ROW]
[ROW][C]12[/C][C]-0.021943[/C][C]-0.4356[/C][C]0.331698[/C][/ROW]
[ROW][C]13[/C][C]0.037392[/C][C]0.7422[/C][C]0.229199[/C][/ROW]
[ROW][C]14[/C][C]-0.074854[/C][C]-1.4858[/C][C]0.069065[/C][/ROW]
[ROW][C]15[/C][C]-0.077143[/C][C]-1.5312[/C][C]0.063256[/C][/ROW]
[ROW][C]16[/C][C]0.078088[/C][C]1.55[/C][C]0.060972[/C][/ROW]
[ROW][C]17[/C][C]0.037304[/C][C]0.7405[/C][C]0.229732[/C][/ROW]
[ROW][C]18[/C][C]0.04619[/C][C]0.9168[/C][C]0.179893[/C][/ROW]
[ROW][C]19[/C][C]0.009776[/C][C]0.1941[/C][C]0.423118[/C][/ROW]
[ROW][C]20[/C][C]-0.031753[/C][C]-0.6303[/C][C]0.264439[/C][/ROW]
[ROW][C]21[/C][C]0.059931[/C][C]1.1896[/C][C]0.11746[/C][/ROW]
[ROW][C]22[/C][C]-0.039872[/C][C]-0.7914[/C][C]0.214582[/C][/ROW]
[ROW][C]23[/C][C]0.011021[/C][C]0.2188[/C][C]0.413473[/C][/ROW]
[ROW][C]24[/C][C]0.020262[/C][C]0.4022[/C][C]0.34388[/C][/ROW]
[ROW][C]25[/C][C]0.060864[/C][C]1.2081[/C][C]0.113863[/C][/ROW]
[ROW][C]26[/C][C]0.018646[/C][C]0.3701[/C][C]0.355752[/C][/ROW]
[ROW][C]27[/C][C]0.018736[/C][C]0.3719[/C][C]0.355081[/C][/ROW]
[ROW][C]28[/C][C]-0.055401[/C][C]-1.0997[/C][C]0.136072[/C][/ROW]
[ROW][C]29[/C][C]-0.005145[/C][C]-0.1021[/C][C]0.459355[/C][/ROW]
[ROW][C]30[/C][C]0.028703[/C][C]0.5697[/C][C]0.284592[/C][/ROW]
[ROW][C]31[/C][C]0.054226[/C][C]1.0764[/C][C]0.141213[/C][/ROW]
[ROW][C]32[/C][C]0.009903[/C][C]0.1966[/C][C]0.422131[/C][/ROW]
[ROW][C]33[/C][C]-0.131516[/C][C]-2.6105[/C][C]0.004693[/C][/ROW]
[ROW][C]34[/C][C]-0.008113[/C][C]-0.161[/C][C]0.43607[/C][/ROW]
[ROW][C]35[/C][C]-0.034541[/C][C]-0.6856[/C][C]0.246678[/C][/ROW]
[ROW][C]36[/C][C]0.016848[/C][C]0.3344[/C][C]0.369119[/C][/ROW]
[ROW][C]37[/C][C]-0.071024[/C][C]-1.4098[/C][C]0.079696[/C][/ROW]
[ROW][C]38[/C][C]0.001131[/C][C]0.0225[/C][C]0.491049[/C][/ROW]
[ROW][C]39[/C][C]0.031819[/C][C]0.6316[/C][C]0.264012[/C][/ROW]
[ROW][C]40[/C][C]0.032688[/C][C]0.6488[/C][C]0.258411[/C][/ROW]
[ROW][C]41[/C][C]0.012375[/C][C]0.2456[/C][C]0.403048[/C][/ROW]
[ROW][C]42[/C][C]-0.041512[/C][C]-0.824[/C][C]0.205222[/C][/ROW]
[ROW][C]43[/C][C]0.048911[/C][C]0.9709[/C][C]0.166109[/C][/ROW]
[ROW][C]44[/C][C]-0.003515[/C][C]-0.0698[/C][C]0.472207[/C][/ROW]
[ROW][C]45[/C][C]0.001331[/C][C]0.0264[/C][C]0.489471[/C][/ROW]
[ROW][C]46[/C][C]0.002653[/C][C]0.0527[/C][C]0.479014[/C][/ROW]
[ROW][C]47[/C][C]0.053658[/C][C]1.0651[/C][C]0.143747[/C][/ROW]
[ROW][C]48[/C][C]0.028174[/C][C]0.5592[/C][C]0.288159[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67926&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67926&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	-0.244633	-4.8558	1e-06
2	-0.072274	-1.4346	0.076098
3	-0.106795	-2.1198	0.017323
4	0.023498	0.4664	0.320584
5	-0.027558	-0.547	0.292344
6	-0.054339	-1.0786	0.140714
7	-0.096221	-1.9099	0.028434
8	0.046602	0.925	0.177758
9	-0.073548	-1.4599	0.072558
10	-0.085864	-1.7043	0.044553
11	0.105528	2.0947	0.018419
12	-0.021943	-0.4356	0.331698
13	0.037392	0.7422	0.229199
14	-0.074854	-1.4858	0.069065
15	-0.077143	-1.5312	0.063256
16	0.078088	1.55	0.060972
17	0.037304	0.7405	0.229732
18	0.04619	0.9168	0.179893
19	0.009776	0.1941	0.423118
20	-0.031753	-0.6303	0.264439
21	0.059931	1.1896	0.11746
22	-0.039872	-0.7914	0.214582
23	0.011021	0.2188	0.413473
24	0.020262	0.4022	0.34388
25	0.060864	1.2081	0.113863
26	0.018646	0.3701	0.355752
27	0.018736	0.3719	0.355081
28	-0.055401	-1.0997	0.136072
29	-0.005145	-0.1021	0.459355
30	0.028703	0.5697	0.284592
31	0.054226	1.0764	0.141213
32	0.009903	0.1966	0.422131
33	-0.131516	-2.6105	0.004693
34	-0.008113	-0.161	0.43607
35	-0.034541	-0.6856	0.246678
36	0.016848	0.3344	0.369119
37	-0.071024	-1.4098	0.079696
38	0.001131	0.0225	0.491049
39	0.031819	0.6316	0.264012
40	0.032688	0.6488	0.258411
41	0.012375	0.2456	0.403048
42	-0.041512	-0.824	0.205222
43	0.048911	0.9709	0.166109
44	-0.003515	-0.0698	0.472207
45	0.001331	0.0264	0.489471
46	0.002653	0.0527	0.479014
47	0.053658	1.0651	0.143747
48	0.028174	0.5592	0.288159

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 = 1 ; par6 = White Noise ;

Parameters (R input):

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

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