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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Thu, 09 Dec 2010 20:28:49 +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/09/t1291926405yh6q6vg5njlf9vz.htm/, Retrieved Mon, 29 Apr 2024 01:55:23 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107390, Retrieved Mon, 29 Apr 2024 01:55:23 +0000

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Estimated Impact

161

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] [Workshop 9 - Auto...] [2010-12-03 09:59:56] [6f0e7a2d1a07390e3505a2db8288f975]
-    D            [(Partial) Autocorrelation Function] [Workshop 9 - Auto...] [2010-12-03 10:22:20] [6f0e7a2d1a07390e3505a2db8288f975]
-   P                 [(Partial) Autocorrelation Function] [Verbetering WS9 A...] [2010-12-09 20:28:49] [934c3727858e074bf543f25f5906ed72] [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=107390&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=107390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107390&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	-0.253881	-2.1543	0.017284
2	-0.146565	-1.2436	0.108831
3	0.270155	2.2923	0.012405
4	-0.114321	-0.97	0.167635
5	0.049595	0.4208	0.337566
6	0.105348	0.8939	0.187176
7	-0.070911	-0.6017	0.274633
8	0.033978	0.2883	0.386968
9	0.110359	0.9364	0.176093
10	0.05593	0.4746	0.31826
11	-0.034529	-0.293	0.385187
12	-0.196061	-1.6636	0.050267
13	0.038343	0.3253	0.37293
14	0.126811	1.076	0.142754
15	-0.165031	-1.4003	0.082854
16	-0.008794	-0.0746	0.470364
17	0.058542	0.4967	0.310441
18	-0.049941	-0.4238	0.3365
19	-0.143075	-1.214	0.114351
20	0.048816	0.4142	0.339974
21	-0.025545	-0.2168	0.414505
22	-0.204825	-1.738	0.043243
23	0.279919	2.3752	0.010103
24	-0.079796	-0.6771	0.250258
25	-0.244966	-2.0786	0.020609
26	0.239816	2.0349	0.022772
27	-0.069734	-0.5917	0.277949
28	-0.051244	-0.4348	0.332497
29	0.089884	0.7627	0.22407
30	-0.105419	-0.8945	0.187015
31	0.045958	0.39	0.348857
32	0.044284	0.3758	0.354099
33	-0.073317	-0.6221	0.267915
34	0.020672	0.1754	0.430627
35	-0.051691	-0.4386	0.331129
36	0.002079	0.0176	0.492986
37	0.233256	1.9792	0.025806
38	-0.169934	-1.4419	0.076827
39	-0.015668	-0.133	0.447301
40	0.082979	0.7041	0.24182
41	-0.0147	-0.1247	0.450541
42	-0.006401	-0.0543	0.478419
43	0.03781	0.3208	0.374634
44	0.012107	0.1027	0.45923
45	-0.071517	-0.6068	0.272932
46	0.135595	1.1506	0.126859
47	0.001657	0.0141	0.494412
48	-0.178248	-1.5125	0.067394

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.253881 & -2.1543 & 0.017284 \tabularnewline
2 & -0.146565 & -1.2436 & 0.108831 \tabularnewline
3 & 0.270155 & 2.2923 & 0.012405 \tabularnewline
4 & -0.114321 & -0.97 & 0.167635 \tabularnewline
5 & 0.049595 & 0.4208 & 0.337566 \tabularnewline
6 & 0.105348 & 0.8939 & 0.187176 \tabularnewline
7 & -0.070911 & -0.6017 & 0.274633 \tabularnewline
8 & 0.033978 & 0.2883 & 0.386968 \tabularnewline
9 & 0.110359 & 0.9364 & 0.176093 \tabularnewline
10 & 0.05593 & 0.4746 & 0.31826 \tabularnewline
11 & -0.034529 & -0.293 & 0.385187 \tabularnewline
12 & -0.196061 & -1.6636 & 0.050267 \tabularnewline
13 & 0.038343 & 0.3253 & 0.37293 \tabularnewline
14 & 0.126811 & 1.076 & 0.142754 \tabularnewline
15 & -0.165031 & -1.4003 & 0.082854 \tabularnewline
16 & -0.008794 & -0.0746 & 0.470364 \tabularnewline
17 & 0.058542 & 0.4967 & 0.310441 \tabularnewline
18 & -0.049941 & -0.4238 & 0.3365 \tabularnewline
19 & -0.143075 & -1.214 & 0.114351 \tabularnewline
20 & 0.048816 & 0.4142 & 0.339974 \tabularnewline
21 & -0.025545 & -0.2168 & 0.414505 \tabularnewline
22 & -0.204825 & -1.738 & 0.043243 \tabularnewline
23 & 0.279919 & 2.3752 & 0.010103 \tabularnewline
24 & -0.079796 & -0.6771 & 0.250258 \tabularnewline
25 & -0.244966 & -2.0786 & 0.020609 \tabularnewline
26 & 0.239816 & 2.0349 & 0.022772 \tabularnewline
27 & -0.069734 & -0.5917 & 0.277949 \tabularnewline
28 & -0.051244 & -0.4348 & 0.332497 \tabularnewline
29 & 0.089884 & 0.7627 & 0.22407 \tabularnewline
30 & -0.105419 & -0.8945 & 0.187015 \tabularnewline
31 & 0.045958 & 0.39 & 0.348857 \tabularnewline
32 & 0.044284 & 0.3758 & 0.354099 \tabularnewline
33 & -0.073317 & -0.6221 & 0.267915 \tabularnewline
34 & 0.020672 & 0.1754 & 0.430627 \tabularnewline
35 & -0.051691 & -0.4386 & 0.331129 \tabularnewline
36 & 0.002079 & 0.0176 & 0.492986 \tabularnewline
37 & 0.233256 & 1.9792 & 0.025806 \tabularnewline
38 & -0.169934 & -1.4419 & 0.076827 \tabularnewline
39 & -0.015668 & -0.133 & 0.447301 \tabularnewline
40 & 0.082979 & 0.7041 & 0.24182 \tabularnewline
41 & -0.0147 & -0.1247 & 0.450541 \tabularnewline
42 & -0.006401 & -0.0543 & 0.478419 \tabularnewline
43 & 0.03781 & 0.3208 & 0.374634 \tabularnewline
44 & 0.012107 & 0.1027 & 0.45923 \tabularnewline
45 & -0.071517 & -0.6068 & 0.272932 \tabularnewline
46 & 0.135595 & 1.1506 & 0.126859 \tabularnewline
47 & 0.001657 & 0.0141 & 0.494412 \tabularnewline
48 & -0.178248 & -1.5125 & 0.067394 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107390&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]-0.253881[/C][C]-2.1543[/C][C]0.017284[/C][/ROW]
[ROW][C]2[/C][C]-0.146565[/C][C]-1.2436[/C][C]0.108831[/C][/ROW]
[ROW][C]3[/C][C]0.270155[/C][C]2.2923[/C][C]0.012405[/C][/ROW]
[ROW][C]4[/C][C]-0.114321[/C][C]-0.97[/C][C]0.167635[/C][/ROW]
[ROW][C]5[/C][C]0.049595[/C][C]0.4208[/C][C]0.337566[/C][/ROW]
[ROW][C]6[/C][C]0.105348[/C][C]0.8939[/C][C]0.187176[/C][/ROW]
[ROW][C]7[/C][C]-0.070911[/C][C]-0.6017[/C][C]0.274633[/C][/ROW]
[ROW][C]8[/C][C]0.033978[/C][C]0.2883[/C][C]0.386968[/C][/ROW]
[ROW][C]9[/C][C]0.110359[/C][C]0.9364[/C][C]0.176093[/C][/ROW]
[ROW][C]10[/C][C]0.05593[/C][C]0.4746[/C][C]0.31826[/C][/ROW]
[ROW][C]11[/C][C]-0.034529[/C][C]-0.293[/C][C]0.385187[/C][/ROW]
[ROW][C]12[/C][C]-0.196061[/C][C]-1.6636[/C][C]0.050267[/C][/ROW]
[ROW][C]13[/C][C]0.038343[/C][C]0.3253[/C][C]0.37293[/C][/ROW]
[ROW][C]14[/C][C]0.126811[/C][C]1.076[/C][C]0.142754[/C][/ROW]
[ROW][C]15[/C][C]-0.165031[/C][C]-1.4003[/C][C]0.082854[/C][/ROW]
[ROW][C]16[/C][C]-0.008794[/C][C]-0.0746[/C][C]0.470364[/C][/ROW]
[ROW][C]17[/C][C]0.058542[/C][C]0.4967[/C][C]0.310441[/C][/ROW]
[ROW][C]18[/C][C]-0.049941[/C][C]-0.4238[/C][C]0.3365[/C][/ROW]
[ROW][C]19[/C][C]-0.143075[/C][C]-1.214[/C][C]0.114351[/C][/ROW]
[ROW][C]20[/C][C]0.048816[/C][C]0.4142[/C][C]0.339974[/C][/ROW]
[ROW][C]21[/C][C]-0.025545[/C][C]-0.2168[/C][C]0.414505[/C][/ROW]
[ROW][C]22[/C][C]-0.204825[/C][C]-1.738[/C][C]0.043243[/C][/ROW]
[ROW][C]23[/C][C]0.279919[/C][C]2.3752[/C][C]0.010103[/C][/ROW]
[ROW][C]24[/C][C]-0.079796[/C][C]-0.6771[/C][C]0.250258[/C][/ROW]
[ROW][C]25[/C][C]-0.244966[/C][C]-2.0786[/C][C]0.020609[/C][/ROW]
[ROW][C]26[/C][C]0.239816[/C][C]2.0349[/C][C]0.022772[/C][/ROW]
[ROW][C]27[/C][C]-0.069734[/C][C]-0.5917[/C][C]0.277949[/C][/ROW]
[ROW][C]28[/C][C]-0.051244[/C][C]-0.4348[/C][C]0.332497[/C][/ROW]
[ROW][C]29[/C][C]0.089884[/C][C]0.7627[/C][C]0.22407[/C][/ROW]
[ROW][C]30[/C][C]-0.105419[/C][C]-0.8945[/C][C]0.187015[/C][/ROW]
[ROW][C]31[/C][C]0.045958[/C][C]0.39[/C][C]0.348857[/C][/ROW]
[ROW][C]32[/C][C]0.044284[/C][C]0.3758[/C][C]0.354099[/C][/ROW]
[ROW][C]33[/C][C]-0.073317[/C][C]-0.6221[/C][C]0.267915[/C][/ROW]
[ROW][C]34[/C][C]0.020672[/C][C]0.1754[/C][C]0.430627[/C][/ROW]
[ROW][C]35[/C][C]-0.051691[/C][C]-0.4386[/C][C]0.331129[/C][/ROW]
[ROW][C]36[/C][C]0.002079[/C][C]0.0176[/C][C]0.492986[/C][/ROW]
[ROW][C]37[/C][C]0.233256[/C][C]1.9792[/C][C]0.025806[/C][/ROW]
[ROW][C]38[/C][C]-0.169934[/C][C]-1.4419[/C][C]0.076827[/C][/ROW]
[ROW][C]39[/C][C]-0.015668[/C][C]-0.133[/C][C]0.447301[/C][/ROW]
[ROW][C]40[/C][C]0.082979[/C][C]0.7041[/C][C]0.24182[/C][/ROW]
[ROW][C]41[/C][C]-0.0147[/C][C]-0.1247[/C][C]0.450541[/C][/ROW]
[ROW][C]42[/C][C]-0.006401[/C][C]-0.0543[/C][C]0.478419[/C][/ROW]
[ROW][C]43[/C][C]0.03781[/C][C]0.3208[/C][C]0.374634[/C][/ROW]
[ROW][C]44[/C][C]0.012107[/C][C]0.1027[/C][C]0.45923[/C][/ROW]
[ROW][C]45[/C][C]-0.071517[/C][C]-0.6068[/C][C]0.272932[/C][/ROW]
[ROW][C]46[/C][C]0.135595[/C][C]1.1506[/C][C]0.126859[/C][/ROW]
[ROW][C]47[/C][C]0.001657[/C][C]0.0141[/C][C]0.494412[/C][/ROW]
[ROW][C]48[/C][C]-0.178248[/C][C]-1.5125[/C][C]0.067394[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107390&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	-0.253881	-2.1543	0.017284
2	-0.146565	-1.2436	0.108831
3	0.270155	2.2923	0.012405
4	-0.114321	-0.97	0.167635
5	0.049595	0.4208	0.337566
6	0.105348	0.8939	0.187176
7	-0.070911	-0.6017	0.274633
8	0.033978	0.2883	0.386968
9	0.110359	0.9364	0.176093
10	0.05593	0.4746	0.31826
11	-0.034529	-0.293	0.385187
12	-0.196061	-1.6636	0.050267
13	0.038343	0.3253	0.37293
14	0.126811	1.076	0.142754
15	-0.165031	-1.4003	0.082854
16	-0.008794	-0.0746	0.470364
17	0.058542	0.4967	0.310441
18	-0.049941	-0.4238	0.3365
19	-0.143075	-1.214	0.114351
20	0.048816	0.4142	0.339974
21	-0.025545	-0.2168	0.414505
22	-0.204825	-1.738	0.043243
23	0.279919	2.3752	0.010103
24	-0.079796	-0.6771	0.250258
25	-0.244966	-2.0786	0.020609
26	0.239816	2.0349	0.022772
27	-0.069734	-0.5917	0.277949
28	-0.051244	-0.4348	0.332497
29	0.089884	0.7627	0.22407
30	-0.105419	-0.8945	0.187015
31	0.045958	0.39	0.348857
32	0.044284	0.3758	0.354099
33	-0.073317	-0.6221	0.267915
34	0.020672	0.1754	0.430627
35	-0.051691	-0.4386	0.331129
36	0.002079	0.0176	0.492986
37	0.233256	1.9792	0.025806
38	-0.169934	-1.4419	0.076827
39	-0.015668	-0.133	0.447301
40	0.082979	0.7041	0.24182
41	-0.0147	-0.1247	0.450541
42	-0.006401	-0.0543	0.478419
43	0.03781	0.3208	0.374634
44	0.012107	0.1027	0.45923
45	-0.071517	-0.6068	0.272932
46	0.135595	1.1506	0.126859
47	0.001657	0.0141	0.494412
48	-0.178248	-1.5125	0.067394

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.253881	-2.1543	0.017284
2	-0.22556	-1.9139	0.029802
3	0.188397	1.5986	0.057144
4	-0.021462	-0.1821	0.428004
5	0.101318	0.8597	0.196402
6	0.081739	0.6936	0.245088
7	0.025093	0.2129	0.415996
8	0.014967	0.127	0.449647
9	0.099497	0.8443	0.200661
10	0.150593	1.2778	0.102707
11	0.031195	0.2647	0.396
12	-0.263639	-2.237	0.01419
13	-0.161285	-1.3686	0.087698
14	0.040641	0.3449	0.365606
15	-0.070447	-0.5978	0.275936
16	-0.076993	-0.6533	0.257819
17	-0.013555	-0.115	0.454376
18	0.042535	0.3609	0.359608
19	-0.217485	-1.8454	0.034544
20	-0.06231	-0.5287	0.299315
21	0.06752	0.5729	0.284239
22	-0.103115	-0.875	0.192252
23	0.192052	1.6296	0.053775
24	-0.000707	-0.006	0.497616
25	-0.134668	-1.1427	0.128476
26	0.079266	0.6726	0.251678
27	-0.000564	-0.0048	0.498096
28	0.086147	0.731	0.233581
29	0.070698	0.5999	0.27523
30	-0.053732	-0.4559	0.324905
31	-0.070255	-0.5961	0.276477
32	-0.080058	-0.6793	0.249559
33	-0.047581	-0.4037	0.343801
34	-0.077797	-0.6601	0.255638
35	-0.019306	-0.1638	0.435168
36	-0.011962	-0.1015	0.459718
37	0.118229	1.0032	0.159561
38	-0.012031	-0.1021	0.459485
39	0.023431	0.1988	0.421481
40	-0.060714	-0.5152	0.304006
41	0.098778	0.8382	0.202359
42	0.05376	0.4562	0.32482
43	0.057352	0.4866	0.313994
44	0.014309	0.1214	0.451851
45	-0.06166	-0.5232	0.301219
46	-0.017778	-0.1509	0.440256
47	-0.032808	-0.2784	0.390758
48	-0.043897	-0.3725	0.355314

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.253881 & -2.1543 & 0.017284 \tabularnewline
2 & -0.22556 & -1.9139 & 0.029802 \tabularnewline
3 & 0.188397 & 1.5986 & 0.057144 \tabularnewline
4 & -0.021462 & -0.1821 & 0.428004 \tabularnewline
5 & 0.101318 & 0.8597 & 0.196402 \tabularnewline
6 & 0.081739 & 0.6936 & 0.245088 \tabularnewline
7 & 0.025093 & 0.2129 & 0.415996 \tabularnewline
8 & 0.014967 & 0.127 & 0.449647 \tabularnewline
9 & 0.099497 & 0.8443 & 0.200661 \tabularnewline
10 & 0.150593 & 1.2778 & 0.102707 \tabularnewline
11 & 0.031195 & 0.2647 & 0.396 \tabularnewline
12 & -0.263639 & -2.237 & 0.01419 \tabularnewline
13 & -0.161285 & -1.3686 & 0.087698 \tabularnewline
14 & 0.040641 & 0.3449 & 0.365606 \tabularnewline
15 & -0.070447 & -0.5978 & 0.275936 \tabularnewline
16 & -0.076993 & -0.6533 & 0.257819 \tabularnewline
17 & -0.013555 & -0.115 & 0.454376 \tabularnewline
18 & 0.042535 & 0.3609 & 0.359608 \tabularnewline
19 & -0.217485 & -1.8454 & 0.034544 \tabularnewline
20 & -0.06231 & -0.5287 & 0.299315 \tabularnewline
21 & 0.06752 & 0.5729 & 0.284239 \tabularnewline
22 & -0.103115 & -0.875 & 0.192252 \tabularnewline
23 & 0.192052 & 1.6296 & 0.053775 \tabularnewline
24 & -0.000707 & -0.006 & 0.497616 \tabularnewline
25 & -0.134668 & -1.1427 & 0.128476 \tabularnewline
26 & 0.079266 & 0.6726 & 0.251678 \tabularnewline
27 & -0.000564 & -0.0048 & 0.498096 \tabularnewline
28 & 0.086147 & 0.731 & 0.233581 \tabularnewline
29 & 0.070698 & 0.5999 & 0.27523 \tabularnewline
30 & -0.053732 & -0.4559 & 0.324905 \tabularnewline
31 & -0.070255 & -0.5961 & 0.276477 \tabularnewline
32 & -0.080058 & -0.6793 & 0.249559 \tabularnewline
33 & -0.047581 & -0.4037 & 0.343801 \tabularnewline
34 & -0.077797 & -0.6601 & 0.255638 \tabularnewline
35 & -0.019306 & -0.1638 & 0.435168 \tabularnewline
36 & -0.011962 & -0.1015 & 0.459718 \tabularnewline
37 & 0.118229 & 1.0032 & 0.159561 \tabularnewline
38 & -0.012031 & -0.1021 & 0.459485 \tabularnewline
39 & 0.023431 & 0.1988 & 0.421481 \tabularnewline
40 & -0.060714 & -0.5152 & 0.304006 \tabularnewline
41 & 0.098778 & 0.8382 & 0.202359 \tabularnewline
42 & 0.05376 & 0.4562 & 0.32482 \tabularnewline
43 & 0.057352 & 0.4866 & 0.313994 \tabularnewline
44 & 0.014309 & 0.1214 & 0.451851 \tabularnewline
45 & -0.06166 & -0.5232 & 0.301219 \tabularnewline
46 & -0.017778 & -0.1509 & 0.440256 \tabularnewline
47 & -0.032808 & -0.2784 & 0.390758 \tabularnewline
48 & -0.043897 & -0.3725 & 0.355314 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107390&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]-0.253881[/C][C]-2.1543[/C][C]0.017284[/C][/ROW]
[ROW][C]2[/C][C]-0.22556[/C][C]-1.9139[/C][C]0.029802[/C][/ROW]
[ROW][C]3[/C][C]0.188397[/C][C]1.5986[/C][C]0.057144[/C][/ROW]
[ROW][C]4[/C][C]-0.021462[/C][C]-0.1821[/C][C]0.428004[/C][/ROW]
[ROW][C]5[/C][C]0.101318[/C][C]0.8597[/C][C]0.196402[/C][/ROW]
[ROW][C]6[/C][C]0.081739[/C][C]0.6936[/C][C]0.245088[/C][/ROW]
[ROW][C]7[/C][C]0.025093[/C][C]0.2129[/C][C]0.415996[/C][/ROW]
[ROW][C]8[/C][C]0.014967[/C][C]0.127[/C][C]0.449647[/C][/ROW]
[ROW][C]9[/C][C]0.099497[/C][C]0.8443[/C][C]0.200661[/C][/ROW]
[ROW][C]10[/C][C]0.150593[/C][C]1.2778[/C][C]0.102707[/C][/ROW]
[ROW][C]11[/C][C]0.031195[/C][C]0.2647[/C][C]0.396[/C][/ROW]
[ROW][C]12[/C][C]-0.263639[/C][C]-2.237[/C][C]0.01419[/C][/ROW]
[ROW][C]13[/C][C]-0.161285[/C][C]-1.3686[/C][C]0.087698[/C][/ROW]
[ROW][C]14[/C][C]0.040641[/C][C]0.3449[/C][C]0.365606[/C][/ROW]
[ROW][C]15[/C][C]-0.070447[/C][C]-0.5978[/C][C]0.275936[/C][/ROW]
[ROW][C]16[/C][C]-0.076993[/C][C]-0.6533[/C][C]0.257819[/C][/ROW]
[ROW][C]17[/C][C]-0.013555[/C][C]-0.115[/C][C]0.454376[/C][/ROW]
[ROW][C]18[/C][C]0.042535[/C][C]0.3609[/C][C]0.359608[/C][/ROW]
[ROW][C]19[/C][C]-0.217485[/C][C]-1.8454[/C][C]0.034544[/C][/ROW]
[ROW][C]20[/C][C]-0.06231[/C][C]-0.5287[/C][C]0.299315[/C][/ROW]
[ROW][C]21[/C][C]0.06752[/C][C]0.5729[/C][C]0.284239[/C][/ROW]
[ROW][C]22[/C][C]-0.103115[/C][C]-0.875[/C][C]0.192252[/C][/ROW]
[ROW][C]23[/C][C]0.192052[/C][C]1.6296[/C][C]0.053775[/C][/ROW]
[ROW][C]24[/C][C]-0.000707[/C][C]-0.006[/C][C]0.497616[/C][/ROW]
[ROW][C]25[/C][C]-0.134668[/C][C]-1.1427[/C][C]0.128476[/C][/ROW]
[ROW][C]26[/C][C]0.079266[/C][C]0.6726[/C][C]0.251678[/C][/ROW]
[ROW][C]27[/C][C]-0.000564[/C][C]-0.0048[/C][C]0.498096[/C][/ROW]
[ROW][C]28[/C][C]0.086147[/C][C]0.731[/C][C]0.233581[/C][/ROW]
[ROW][C]29[/C][C]0.070698[/C][C]0.5999[/C][C]0.27523[/C][/ROW]
[ROW][C]30[/C][C]-0.053732[/C][C]-0.4559[/C][C]0.324905[/C][/ROW]
[ROW][C]31[/C][C]-0.070255[/C][C]-0.5961[/C][C]0.276477[/C][/ROW]
[ROW][C]32[/C][C]-0.080058[/C][C]-0.6793[/C][C]0.249559[/C][/ROW]
[ROW][C]33[/C][C]-0.047581[/C][C]-0.4037[/C][C]0.343801[/C][/ROW]
[ROW][C]34[/C][C]-0.077797[/C][C]-0.6601[/C][C]0.255638[/C][/ROW]
[ROW][C]35[/C][C]-0.019306[/C][C]-0.1638[/C][C]0.435168[/C][/ROW]
[ROW][C]36[/C][C]-0.011962[/C][C]-0.1015[/C][C]0.459718[/C][/ROW]
[ROW][C]37[/C][C]0.118229[/C][C]1.0032[/C][C]0.159561[/C][/ROW]
[ROW][C]38[/C][C]-0.012031[/C][C]-0.1021[/C][C]0.459485[/C][/ROW]
[ROW][C]39[/C][C]0.023431[/C][C]0.1988[/C][C]0.421481[/C][/ROW]
[ROW][C]40[/C][C]-0.060714[/C][C]-0.5152[/C][C]0.304006[/C][/ROW]
[ROW][C]41[/C][C]0.098778[/C][C]0.8382[/C][C]0.202359[/C][/ROW]
[ROW][C]42[/C][C]0.05376[/C][C]0.4562[/C][C]0.32482[/C][/ROW]
[ROW][C]43[/C][C]0.057352[/C][C]0.4866[/C][C]0.313994[/C][/ROW]
[ROW][C]44[/C][C]0.014309[/C][C]0.1214[/C][C]0.451851[/C][/ROW]
[ROW][C]45[/C][C]-0.06166[/C][C]-0.5232[/C][C]0.301219[/C][/ROW]
[ROW][C]46[/C][C]-0.017778[/C][C]-0.1509[/C][C]0.440256[/C][/ROW]
[ROW][C]47[/C][C]-0.032808[/C][C]-0.2784[/C][C]0.390758[/C][/ROW]
[ROW][C]48[/C][C]-0.043897[/C][C]-0.3725[/C][C]0.355314[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107390&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107390&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	-0.253881	-2.1543	0.017284
2	-0.22556	-1.9139	0.029802
3	0.188397	1.5986	0.057144
4	-0.021462	-0.1821	0.428004
5	0.101318	0.8597	0.196402
6	0.081739	0.6936	0.245088
7	0.025093	0.2129	0.415996
8	0.014967	0.127	0.449647
9	0.099497	0.8443	0.200661
10	0.150593	1.2778	0.102707
11	0.031195	0.2647	0.396
12	-0.263639	-2.237	0.01419
13	-0.161285	-1.3686	0.087698
14	0.040641	0.3449	0.365606
15	-0.070447	-0.5978	0.275936
16	-0.076993	-0.6533	0.257819
17	-0.013555	-0.115	0.454376
18	0.042535	0.3609	0.359608
19	-0.217485	-1.8454	0.034544
20	-0.06231	-0.5287	0.299315
21	0.06752	0.5729	0.284239
22	-0.103115	-0.875	0.192252
23	0.192052	1.6296	0.053775
24	-0.000707	-0.006	0.497616
25	-0.134668	-1.1427	0.128476
26	0.079266	0.6726	0.251678
27	-0.000564	-0.0048	0.498096
28	0.086147	0.731	0.233581
29	0.070698	0.5999	0.27523
30	-0.053732	-0.4559	0.324905
31	-0.070255	-0.5961	0.276477
32	-0.080058	-0.6793	0.249559
33	-0.047581	-0.4037	0.343801
34	-0.077797	-0.6601	0.255638
35	-0.019306	-0.1638	0.435168
36	-0.011962	-0.1015	0.459718
37	0.118229	1.0032	0.159561
38	-0.012031	-0.1021	0.459485
39	0.023431	0.1988	0.421481
40	-0.060714	-0.5152	0.304006
41	0.098778	0.8382	0.202359
42	0.05376	0.4562	0.32482
43	0.057352	0.4866	0.313994
44	0.014309	0.1214	0.451851
45	-0.06166	-0.5232	0.301219
46	-0.017778	-0.1509	0.440256
47	-0.032808	-0.2784	0.390758
48	-0.043897	-0.3725	0.355314

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

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