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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Mon, 20 Dec 2010 13:39:58 +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/t129285232300d3i86sy82xjrf.htm/, Retrieved Fri, 03 May 2024 23:32:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112940, Retrieved Fri, 03 May 2024 23:32:17 +0000

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Estimated Impact

102

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] [ACF d=1D=0 Jenever] [2010-12-20 13:39:58] [47bfda5353cd53c1cf7ea7aa9038654a] [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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112940&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112940&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112940&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.151157	1.2826	0.101871
2	0.122337	1.0381	0.151357
3	0.194224	1.648	0.05185
4	-0.113737	-0.9651	0.168865
5	0.024408	0.2071	0.418254
6	-0.133189	-1.1301	0.131083
7	-0.152986	-1.2981	0.099194
8	-0.061704	-0.5236	0.30109
9	0.044035	0.3736	0.354882
10	0.019851	0.1684	0.433355
11	0.03924	0.333	0.370064
12	-0.049606	-0.4209	0.337533
13	0.039082	0.3316	0.370568
14	0.149907	1.272	0.103733
15	-0.068265	-0.5792	0.282116
16	-0.03342	-0.2836	0.388775
17	0.085232	0.7232	0.235945
18	-0.123168	-1.0451	0.149733
19	-0.040412	-0.3429	0.366334
20	-0.071775	-0.609	0.27221
21	-0.115104	-0.9767	0.165997
22	-0.023573	-0.2	0.421012
23	0.04622	0.3922	0.348038
24	0.059129	0.5017	0.308697
25	-0.065514	-0.5559	0.289999
26	-0.002601	-0.0221	0.491227
27	-0.124402	-1.0556	0.147344
28	-0.003556	-0.0302	0.488005
29	-0.030632	-0.2599	0.397833
30	-0.045742	-0.3881	0.34953
31	0.10367	0.8797	0.190982
32	-0.031442	-0.2668	0.395195
33	0.103811	0.8809	0.19066
34	0.093637	0.7945	0.214748
35	0.04293	0.3643	0.358362
36	0.005833	0.0495	0.480331
37	-0.027674	-0.2348	0.407507
38	-0.077783	-0.66	0.255677
39	-0.070608	-0.5991	0.275485
40	-0.095091	-0.8069	0.211198
41	-0.163198	-1.3848	0.085198
42	-0.086773	-0.7363	0.231971
43	-0.100687	-0.8544	0.19787
44	-0.103832	-0.881	0.190612
45	-0.023669	-0.2008	0.420696
46	-0.011458	-0.0972	0.461408
47	0.115469	0.9798	0.165235
48	0.037491	0.3181	0.375656

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.151157 & 1.2826 & 0.101871 \tabularnewline
2 & 0.122337 & 1.0381 & 0.151357 \tabularnewline
3 & 0.194224 & 1.648 & 0.05185 \tabularnewline
4 & -0.113737 & -0.9651 & 0.168865 \tabularnewline
5 & 0.024408 & 0.2071 & 0.418254 \tabularnewline
6 & -0.133189 & -1.1301 & 0.131083 \tabularnewline
7 & -0.152986 & -1.2981 & 0.099194 \tabularnewline
8 & -0.061704 & -0.5236 & 0.30109 \tabularnewline
9 & 0.044035 & 0.3736 & 0.354882 \tabularnewline
10 & 0.019851 & 0.1684 & 0.433355 \tabularnewline
11 & 0.03924 & 0.333 & 0.370064 \tabularnewline
12 & -0.049606 & -0.4209 & 0.337533 \tabularnewline
13 & 0.039082 & 0.3316 & 0.370568 \tabularnewline
14 & 0.149907 & 1.272 & 0.103733 \tabularnewline
15 & -0.068265 & -0.5792 & 0.282116 \tabularnewline
16 & -0.03342 & -0.2836 & 0.388775 \tabularnewline
17 & 0.085232 & 0.7232 & 0.235945 \tabularnewline
18 & -0.123168 & -1.0451 & 0.149733 \tabularnewline
19 & -0.040412 & -0.3429 & 0.366334 \tabularnewline
20 & -0.071775 & -0.609 & 0.27221 \tabularnewline
21 & -0.115104 & -0.9767 & 0.165997 \tabularnewline
22 & -0.023573 & -0.2 & 0.421012 \tabularnewline
23 & 0.04622 & 0.3922 & 0.348038 \tabularnewline
24 & 0.059129 & 0.5017 & 0.308697 \tabularnewline
25 & -0.065514 & -0.5559 & 0.289999 \tabularnewline
26 & -0.002601 & -0.0221 & 0.491227 \tabularnewline
27 & -0.124402 & -1.0556 & 0.147344 \tabularnewline
28 & -0.003556 & -0.0302 & 0.488005 \tabularnewline
29 & -0.030632 & -0.2599 & 0.397833 \tabularnewline
30 & -0.045742 & -0.3881 & 0.34953 \tabularnewline
31 & 0.10367 & 0.8797 & 0.190982 \tabularnewline
32 & -0.031442 & -0.2668 & 0.395195 \tabularnewline
33 & 0.103811 & 0.8809 & 0.19066 \tabularnewline
34 & 0.093637 & 0.7945 & 0.214748 \tabularnewline
35 & 0.04293 & 0.3643 & 0.358362 \tabularnewline
36 & 0.005833 & 0.0495 & 0.480331 \tabularnewline
37 & -0.027674 & -0.2348 & 0.407507 \tabularnewline
38 & -0.077783 & -0.66 & 0.255677 \tabularnewline
39 & -0.070608 & -0.5991 & 0.275485 \tabularnewline
40 & -0.095091 & -0.8069 & 0.211198 \tabularnewline
41 & -0.163198 & -1.3848 & 0.085198 \tabularnewline
42 & -0.086773 & -0.7363 & 0.231971 \tabularnewline
43 & -0.100687 & -0.8544 & 0.19787 \tabularnewline
44 & -0.103832 & -0.881 & 0.190612 \tabularnewline
45 & -0.023669 & -0.2008 & 0.420696 \tabularnewline
46 & -0.011458 & -0.0972 & 0.461408 \tabularnewline
47 & 0.115469 & 0.9798 & 0.165235 \tabularnewline
48 & 0.037491 & 0.3181 & 0.375656 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112940&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]0.151157[/C][C]1.2826[/C][C]0.101871[/C][/ROW]
[ROW][C]2[/C][C]0.122337[/C][C]1.0381[/C][C]0.151357[/C][/ROW]
[ROW][C]3[/C][C]0.194224[/C][C]1.648[/C][C]0.05185[/C][/ROW]
[ROW][C]4[/C][C]-0.113737[/C][C]-0.9651[/C][C]0.168865[/C][/ROW]
[ROW][C]5[/C][C]0.024408[/C][C]0.2071[/C][C]0.418254[/C][/ROW]
[ROW][C]6[/C][C]-0.133189[/C][C]-1.1301[/C][C]0.131083[/C][/ROW]
[ROW][C]7[/C][C]-0.152986[/C][C]-1.2981[/C][C]0.099194[/C][/ROW]
[ROW][C]8[/C][C]-0.061704[/C][C]-0.5236[/C][C]0.30109[/C][/ROW]
[ROW][C]9[/C][C]0.044035[/C][C]0.3736[/C][C]0.354882[/C][/ROW]
[ROW][C]10[/C][C]0.019851[/C][C]0.1684[/C][C]0.433355[/C][/ROW]
[ROW][C]11[/C][C]0.03924[/C][C]0.333[/C][C]0.370064[/C][/ROW]
[ROW][C]12[/C][C]-0.049606[/C][C]-0.4209[/C][C]0.337533[/C][/ROW]
[ROW][C]13[/C][C]0.039082[/C][C]0.3316[/C][C]0.370568[/C][/ROW]
[ROW][C]14[/C][C]0.149907[/C][C]1.272[/C][C]0.103733[/C][/ROW]
[ROW][C]15[/C][C]-0.068265[/C][C]-0.5792[/C][C]0.282116[/C][/ROW]
[ROW][C]16[/C][C]-0.03342[/C][C]-0.2836[/C][C]0.388775[/C][/ROW]
[ROW][C]17[/C][C]0.085232[/C][C]0.7232[/C][C]0.235945[/C][/ROW]
[ROW][C]18[/C][C]-0.123168[/C][C]-1.0451[/C][C]0.149733[/C][/ROW]
[ROW][C]19[/C][C]-0.040412[/C][C]-0.3429[/C][C]0.366334[/C][/ROW]
[ROW][C]20[/C][C]-0.071775[/C][C]-0.609[/C][C]0.27221[/C][/ROW]
[ROW][C]21[/C][C]-0.115104[/C][C]-0.9767[/C][C]0.165997[/C][/ROW]
[ROW][C]22[/C][C]-0.023573[/C][C]-0.2[/C][C]0.421012[/C][/ROW]
[ROW][C]23[/C][C]0.04622[/C][C]0.3922[/C][C]0.348038[/C][/ROW]
[ROW][C]24[/C][C]0.059129[/C][C]0.5017[/C][C]0.308697[/C][/ROW]
[ROW][C]25[/C][C]-0.065514[/C][C]-0.5559[/C][C]0.289999[/C][/ROW]
[ROW][C]26[/C][C]-0.002601[/C][C]-0.0221[/C][C]0.491227[/C][/ROW]
[ROW][C]27[/C][C]-0.124402[/C][C]-1.0556[/C][C]0.147344[/C][/ROW]
[ROW][C]28[/C][C]-0.003556[/C][C]-0.0302[/C][C]0.488005[/C][/ROW]
[ROW][C]29[/C][C]-0.030632[/C][C]-0.2599[/C][C]0.397833[/C][/ROW]
[ROW][C]30[/C][C]-0.045742[/C][C]-0.3881[/C][C]0.34953[/C][/ROW]
[ROW][C]31[/C][C]0.10367[/C][C]0.8797[/C][C]0.190982[/C][/ROW]
[ROW][C]32[/C][C]-0.031442[/C][C]-0.2668[/C][C]0.395195[/C][/ROW]
[ROW][C]33[/C][C]0.103811[/C][C]0.8809[/C][C]0.19066[/C][/ROW]
[ROW][C]34[/C][C]0.093637[/C][C]0.7945[/C][C]0.214748[/C][/ROW]
[ROW][C]35[/C][C]0.04293[/C][C]0.3643[/C][C]0.358362[/C][/ROW]
[ROW][C]36[/C][C]0.005833[/C][C]0.0495[/C][C]0.480331[/C][/ROW]
[ROW][C]37[/C][C]-0.027674[/C][C]-0.2348[/C][C]0.407507[/C][/ROW]
[ROW][C]38[/C][C]-0.077783[/C][C]-0.66[/C][C]0.255677[/C][/ROW]
[ROW][C]39[/C][C]-0.070608[/C][C]-0.5991[/C][C]0.275485[/C][/ROW]
[ROW][C]40[/C][C]-0.095091[/C][C]-0.8069[/C][C]0.211198[/C][/ROW]
[ROW][C]41[/C][C]-0.163198[/C][C]-1.3848[/C][C]0.085198[/C][/ROW]
[ROW][C]42[/C][C]-0.086773[/C][C]-0.7363[/C][C]0.231971[/C][/ROW]
[ROW][C]43[/C][C]-0.100687[/C][C]-0.8544[/C][C]0.19787[/C][/ROW]
[ROW][C]44[/C][C]-0.103832[/C][C]-0.881[/C][C]0.190612[/C][/ROW]
[ROW][C]45[/C][C]-0.023669[/C][C]-0.2008[/C][C]0.420696[/C][/ROW]
[ROW][C]46[/C][C]-0.011458[/C][C]-0.0972[/C][C]0.461408[/C][/ROW]
[ROW][C]47[/C][C]0.115469[/C][C]0.9798[/C][C]0.165235[/C][/ROW]
[ROW][C]48[/C][C]0.037491[/C][C]0.3181[/C][C]0.375656[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112940&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112940&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	0.151157	1.2826	0.101871
2	0.122337	1.0381	0.151357
3	0.194224	1.648	0.05185
4	-0.113737	-0.9651	0.168865
5	0.024408	0.2071	0.418254
6	-0.133189	-1.1301	0.131083
7	-0.152986	-1.2981	0.099194
8	-0.061704	-0.5236	0.30109
9	0.044035	0.3736	0.354882
10	0.019851	0.1684	0.433355
11	0.03924	0.333	0.370064
12	-0.049606	-0.4209	0.337533
13	0.039082	0.3316	0.370568
14	0.149907	1.272	0.103733
15	-0.068265	-0.5792	0.282116
16	-0.03342	-0.2836	0.388775
17	0.085232	0.7232	0.235945
18	-0.123168	-1.0451	0.149733
19	-0.040412	-0.3429	0.366334
20	-0.071775	-0.609	0.27221
21	-0.115104	-0.9767	0.165997
22	-0.023573	-0.2	0.421012
23	0.04622	0.3922	0.348038
24	0.059129	0.5017	0.308697
25	-0.065514	-0.5559	0.289999
26	-0.002601	-0.0221	0.491227
27	-0.124402	-1.0556	0.147344
28	-0.003556	-0.0302	0.488005
29	-0.030632	-0.2599	0.397833
30	-0.045742	-0.3881	0.34953
31	0.10367	0.8797	0.190982
32	-0.031442	-0.2668	0.395195
33	0.103811	0.8809	0.19066
34	0.093637	0.7945	0.214748
35	0.04293	0.3643	0.358362
36	0.005833	0.0495	0.480331
37	-0.027674	-0.2348	0.407507
38	-0.077783	-0.66	0.255677
39	-0.070608	-0.5991	0.275485
40	-0.095091	-0.8069	0.211198
41	-0.163198	-1.3848	0.085198
42	-0.086773	-0.7363	0.231971
43	-0.100687	-0.8544	0.19787
44	-0.103832	-0.881	0.190612
45	-0.023669	-0.2008	0.420696
46	-0.011458	-0.0972	0.461408
47	0.115469	0.9798	0.165235
48	0.037491	0.3181	0.375656

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.151157	1.2826	0.101871
2	0.101815	0.8639	0.195249
3	0.167757	1.4235	0.07946
4	-0.18282	-1.5513	0.06261
5	0.030488	0.2587	0.398303
6	-0.159686	-1.355	0.08983
7	-0.064954	-0.5512	0.291617
8	-0.042204	-0.3581	0.360655
9	0.162621	1.3799	0.085946
10	0.003161	0.0268	0.489339
11	0.026161	0.222	0.412478
12	-0.150469	-1.2768	0.102893
13	0.064887	0.5506	0.291812
14	0.118752	1.0076	0.1585
15	-0.055257	-0.4689	0.320289
16	-0.072469	-0.6149	0.270274
17	0.120832	1.0253	0.154328
18	-0.137107	-1.1634	0.124257
19	-0.050912	-0.432	0.333514
20	-0.070302	-0.5965	0.276346
21	0.04599	0.3902	0.348756
22	-0.0534	-0.4531	0.325915
23	0.108174	0.9179	0.180871
24	0.021369	0.1813	0.428311
25	-0.107848	-0.9151	0.181592
26	-0.077287	-0.6558	0.257022
27	-0.166122	-1.4096	0.081482
28	0.074265	0.6302	0.265294
29	0.059325	0.5034	0.308113
30	0.054114	0.4592	0.323747
31	0.041634	0.3533	0.362457
32	-0.041991	-0.3563	0.361328
33	0.006998	0.0594	0.476407
34	0.011451	0.0972	0.461432
35	0.118899	1.0089	0.158203
36	-0.037681	-0.3197	0.375048
37	-0.05594	-0.4747	0.318232
38	-0.118041	-1.0016	0.159943
39	-0.011745	-0.0997	0.460444
40	-0.105129	-0.892	0.18767
41	-0.063225	-0.5365	0.296638
42	-0.032848	-0.2787	0.390629
43	-0.034293	-0.291	0.385948
44	-0.09541	-0.8096	0.210424
45	-0.071653	-0.608	0.272552
46	0.000606	0.0051	0.497954
47	0.117214	0.9946	0.161632
48	-0.103438	-0.8777	0.191514

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.151157 & 1.2826 & 0.101871 \tabularnewline
2 & 0.101815 & 0.8639 & 0.195249 \tabularnewline
3 & 0.167757 & 1.4235 & 0.07946 \tabularnewline
4 & -0.18282 & -1.5513 & 0.06261 \tabularnewline
5 & 0.030488 & 0.2587 & 0.398303 \tabularnewline
6 & -0.159686 & -1.355 & 0.08983 \tabularnewline
7 & -0.064954 & -0.5512 & 0.291617 \tabularnewline
8 & -0.042204 & -0.3581 & 0.360655 \tabularnewline
9 & 0.162621 & 1.3799 & 0.085946 \tabularnewline
10 & 0.003161 & 0.0268 & 0.489339 \tabularnewline
11 & 0.026161 & 0.222 & 0.412478 \tabularnewline
12 & -0.150469 & -1.2768 & 0.102893 \tabularnewline
13 & 0.064887 & 0.5506 & 0.291812 \tabularnewline
14 & 0.118752 & 1.0076 & 0.1585 \tabularnewline
15 & -0.055257 & -0.4689 & 0.320289 \tabularnewline
16 & -0.072469 & -0.6149 & 0.270274 \tabularnewline
17 & 0.120832 & 1.0253 & 0.154328 \tabularnewline
18 & -0.137107 & -1.1634 & 0.124257 \tabularnewline
19 & -0.050912 & -0.432 & 0.333514 \tabularnewline
20 & -0.070302 & -0.5965 & 0.276346 \tabularnewline
21 & 0.04599 & 0.3902 & 0.348756 \tabularnewline
22 & -0.0534 & -0.4531 & 0.325915 \tabularnewline
23 & 0.108174 & 0.9179 & 0.180871 \tabularnewline
24 & 0.021369 & 0.1813 & 0.428311 \tabularnewline
25 & -0.107848 & -0.9151 & 0.181592 \tabularnewline
26 & -0.077287 & -0.6558 & 0.257022 \tabularnewline
27 & -0.166122 & -1.4096 & 0.081482 \tabularnewline
28 & 0.074265 & 0.6302 & 0.265294 \tabularnewline
29 & 0.059325 & 0.5034 & 0.308113 \tabularnewline
30 & 0.054114 & 0.4592 & 0.323747 \tabularnewline
31 & 0.041634 & 0.3533 & 0.362457 \tabularnewline
32 & -0.041991 & -0.3563 & 0.361328 \tabularnewline
33 & 0.006998 & 0.0594 & 0.476407 \tabularnewline
34 & 0.011451 & 0.0972 & 0.461432 \tabularnewline
35 & 0.118899 & 1.0089 & 0.158203 \tabularnewline
36 & -0.037681 & -0.3197 & 0.375048 \tabularnewline
37 & -0.05594 & -0.4747 & 0.318232 \tabularnewline
38 & -0.118041 & -1.0016 & 0.159943 \tabularnewline
39 & -0.011745 & -0.0997 & 0.460444 \tabularnewline
40 & -0.105129 & -0.892 & 0.18767 \tabularnewline
41 & -0.063225 & -0.5365 & 0.296638 \tabularnewline
42 & -0.032848 & -0.2787 & 0.390629 \tabularnewline
43 & -0.034293 & -0.291 & 0.385948 \tabularnewline
44 & -0.09541 & -0.8096 & 0.210424 \tabularnewline
45 & -0.071653 & -0.608 & 0.272552 \tabularnewline
46 & 0.000606 & 0.0051 & 0.497954 \tabularnewline
47 & 0.117214 & 0.9946 & 0.161632 \tabularnewline
48 & -0.103438 & -0.8777 & 0.191514 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112940&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]0.151157[/C][C]1.2826[/C][C]0.101871[/C][/ROW]
[ROW][C]2[/C][C]0.101815[/C][C]0.8639[/C][C]0.195249[/C][/ROW]
[ROW][C]3[/C][C]0.167757[/C][C]1.4235[/C][C]0.07946[/C][/ROW]
[ROW][C]4[/C][C]-0.18282[/C][C]-1.5513[/C][C]0.06261[/C][/ROW]
[ROW][C]5[/C][C]0.030488[/C][C]0.2587[/C][C]0.398303[/C][/ROW]
[ROW][C]6[/C][C]-0.159686[/C][C]-1.355[/C][C]0.08983[/C][/ROW]
[ROW][C]7[/C][C]-0.064954[/C][C]-0.5512[/C][C]0.291617[/C][/ROW]
[ROW][C]8[/C][C]-0.042204[/C][C]-0.3581[/C][C]0.360655[/C][/ROW]
[ROW][C]9[/C][C]0.162621[/C][C]1.3799[/C][C]0.085946[/C][/ROW]
[ROW][C]10[/C][C]0.003161[/C][C]0.0268[/C][C]0.489339[/C][/ROW]
[ROW][C]11[/C][C]0.026161[/C][C]0.222[/C][C]0.412478[/C][/ROW]
[ROW][C]12[/C][C]-0.150469[/C][C]-1.2768[/C][C]0.102893[/C][/ROW]
[ROW][C]13[/C][C]0.064887[/C][C]0.5506[/C][C]0.291812[/C][/ROW]
[ROW][C]14[/C][C]0.118752[/C][C]1.0076[/C][C]0.1585[/C][/ROW]
[ROW][C]15[/C][C]-0.055257[/C][C]-0.4689[/C][C]0.320289[/C][/ROW]
[ROW][C]16[/C][C]-0.072469[/C][C]-0.6149[/C][C]0.270274[/C][/ROW]
[ROW][C]17[/C][C]0.120832[/C][C]1.0253[/C][C]0.154328[/C][/ROW]
[ROW][C]18[/C][C]-0.137107[/C][C]-1.1634[/C][C]0.124257[/C][/ROW]
[ROW][C]19[/C][C]-0.050912[/C][C]-0.432[/C][C]0.333514[/C][/ROW]
[ROW][C]20[/C][C]-0.070302[/C][C]-0.5965[/C][C]0.276346[/C][/ROW]
[ROW][C]21[/C][C]0.04599[/C][C]0.3902[/C][C]0.348756[/C][/ROW]
[ROW][C]22[/C][C]-0.0534[/C][C]-0.4531[/C][C]0.325915[/C][/ROW]
[ROW][C]23[/C][C]0.108174[/C][C]0.9179[/C][C]0.180871[/C][/ROW]
[ROW][C]24[/C][C]0.021369[/C][C]0.1813[/C][C]0.428311[/C][/ROW]
[ROW][C]25[/C][C]-0.107848[/C][C]-0.9151[/C][C]0.181592[/C][/ROW]
[ROW][C]26[/C][C]-0.077287[/C][C]-0.6558[/C][C]0.257022[/C][/ROW]
[ROW][C]27[/C][C]-0.166122[/C][C]-1.4096[/C][C]0.081482[/C][/ROW]
[ROW][C]28[/C][C]0.074265[/C][C]0.6302[/C][C]0.265294[/C][/ROW]
[ROW][C]29[/C][C]0.059325[/C][C]0.5034[/C][C]0.308113[/C][/ROW]
[ROW][C]30[/C][C]0.054114[/C][C]0.4592[/C][C]0.323747[/C][/ROW]
[ROW][C]31[/C][C]0.041634[/C][C]0.3533[/C][C]0.362457[/C][/ROW]
[ROW][C]32[/C][C]-0.041991[/C][C]-0.3563[/C][C]0.361328[/C][/ROW]
[ROW][C]33[/C][C]0.006998[/C][C]0.0594[/C][C]0.476407[/C][/ROW]
[ROW][C]34[/C][C]0.011451[/C][C]0.0972[/C][C]0.461432[/C][/ROW]
[ROW][C]35[/C][C]0.118899[/C][C]1.0089[/C][C]0.158203[/C][/ROW]
[ROW][C]36[/C][C]-0.037681[/C][C]-0.3197[/C][C]0.375048[/C][/ROW]
[ROW][C]37[/C][C]-0.05594[/C][C]-0.4747[/C][C]0.318232[/C][/ROW]
[ROW][C]38[/C][C]-0.118041[/C][C]-1.0016[/C][C]0.159943[/C][/ROW]
[ROW][C]39[/C][C]-0.011745[/C][C]-0.0997[/C][C]0.460444[/C][/ROW]
[ROW][C]40[/C][C]-0.105129[/C][C]-0.892[/C][C]0.18767[/C][/ROW]
[ROW][C]41[/C][C]-0.063225[/C][C]-0.5365[/C][C]0.296638[/C][/ROW]
[ROW][C]42[/C][C]-0.032848[/C][C]-0.2787[/C][C]0.390629[/C][/ROW]
[ROW][C]43[/C][C]-0.034293[/C][C]-0.291[/C][C]0.385948[/C][/ROW]
[ROW][C]44[/C][C]-0.09541[/C][C]-0.8096[/C][C]0.210424[/C][/ROW]
[ROW][C]45[/C][C]-0.071653[/C][C]-0.608[/C][C]0.272552[/C][/ROW]
[ROW][C]46[/C][C]0.000606[/C][C]0.0051[/C][C]0.497954[/C][/ROW]
[ROW][C]47[/C][C]0.117214[/C][C]0.9946[/C][C]0.161632[/C][/ROW]
[ROW][C]48[/C][C]-0.103438[/C][C]-0.8777[/C][C]0.191514[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112940&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112940&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	0.151157	1.2826	0.101871
2	0.101815	0.8639	0.195249
3	0.167757	1.4235	0.07946
4	-0.18282	-1.5513	0.06261
5	0.030488	0.2587	0.398303
6	-0.159686	-1.355	0.08983
7	-0.064954	-0.5512	0.291617
8	-0.042204	-0.3581	0.360655
9	0.162621	1.3799	0.085946
10	0.003161	0.0268	0.489339
11	0.026161	0.222	0.412478
12	-0.150469	-1.2768	0.102893
13	0.064887	0.5506	0.291812
14	0.118752	1.0076	0.1585
15	-0.055257	-0.4689	0.320289
16	-0.072469	-0.6149	0.270274
17	0.120832	1.0253	0.154328
18	-0.137107	-1.1634	0.124257
19	-0.050912	-0.432	0.333514
20	-0.070302	-0.5965	0.276346
21	0.04599	0.3902	0.348756
22	-0.0534	-0.4531	0.325915
23	0.108174	0.9179	0.180871
24	0.021369	0.1813	0.428311
25	-0.107848	-0.9151	0.181592
26	-0.077287	-0.6558	0.257022
27	-0.166122	-1.4096	0.081482
28	0.074265	0.6302	0.265294
29	0.059325	0.5034	0.308113
30	0.054114	0.4592	0.323747
31	0.041634	0.3533	0.362457
32	-0.041991	-0.3563	0.361328
33	0.006998	0.0594	0.476407
34	0.011451	0.0972	0.461432
35	0.118899	1.0089	0.158203
36	-0.037681	-0.3197	0.375048
37	-0.05594	-0.4747	0.318232
38	-0.118041	-1.0016	0.159943
39	-0.011745	-0.0997	0.460444
40	-0.105129	-0.892	0.18767
41	-0.063225	-0.5365	0.296638
42	-0.032848	-0.2787	0.390629
43	-0.034293	-0.291	0.385948
44	-0.09541	-0.8096	0.210424
45	-0.071653	-0.608	0.272552
46	0.000606	0.0051	0.497954
47	0.117214	0.9946	0.161632
48	-0.103438	-0.8777	0.191514

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