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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 03 Dec 2010 12:15:13 +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/03/t1291378438tgij234uvnvqou2.htm/, Retrieved Tue, 07 May 2024 05:50:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104669, Retrieved Tue, 07 May 2024 05:50:49 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

138

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         [Variance Reduction Matrix] [Births] [2010-11-29 09:39:41] [b98453cac15ba1066b407e146608df68]
- RMPD          [(Partial) Autocorrelation Function] [seizoenaal diff g...] [2010-12-03 12:03:37] [4eaa304e6a28c475ba490fccf4c01ad3]
- R               [(Partial) Autocorrelation Function] [acf geboortes] [2010-12-03 12:12:39] [4eaa304e6a28c475ba490fccf4c01ad3]
-                   [(Partial) Autocorrelation Function] [non seasonal diff...] [2010-12-03 12:14:02] [4eaa304e6a28c475ba490fccf4c01ad3]
-                       [(Partial) Autocorrelation Function] [seasonal diff geb...] [2010-12-03 12:15:13] [e926a978b40506c05812140b9c5157ab] [Current]
-   P                     [(Partial) Autocorrelation Function] [seas diff geboortes] [2010-12-06 18:25:16] [4eaa304e6a28c475ba490fccf4c01ad3] 

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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=104669&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=104669&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104669&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	-0.42054	-3.8313	0.000123
2	-0.131828	-1.201	0.116581
3	0.083562	0.7613	0.224321
4	-0.121906	-1.1106	0.13497
5	0.12458	1.135	0.129825
6	0.055874	0.509	0.306039
7	-0.102733	-0.9359	0.176008
8	-0.089989	-0.8198	0.207327
9	0.256402	2.3359	0.010953
10	-0.120827	-1.1008	0.137086
11	0.031931	0.2909	0.385923
12	-0.081615	-0.7436	0.229624
13	-0.184585	-1.6817	0.048198
14	0.322963	2.9423	0.002111
15	-0.072519	-0.6607	0.255324
16	-0.083127	-0.7573	0.225501
17	0.038193	0.348	0.364377
18	0.097328	0.8867	0.188901
19	-0.109359	-0.9963	0.160999
20	-0.017903	-0.1631	0.435418
21	0.06416	0.5845	0.280226
22	-0.178526	-1.6265	0.053822
23	0.301069	2.7429	0.00373
24	-0.115081	-1.0484	0.148741
25	-0.074561	-0.6793	0.249425
26	0.004913	0.0448	0.482202
27	0.058866	0.5363	0.296595
28	-0.018547	-0.169	0.433114
29	0.025131	0.229	0.409733
30	-0.066279	-0.6038	0.273802
31	-0.124907	-1.138	0.129207
32	0.243682	2.22	0.014571
33	-0.032973	-0.3004	0.382312
34	-0.095785	-0.8726	0.192687
35	0.077051	0.702	0.242331
36	-0.150249	-1.3688	0.087373
37	0.086847	0.7912	0.215537
38	0.087484	0.797	0.213857
39	-0.078774	-0.7177	0.237488
40	-0.044605	-0.4064	0.342757
41	0.103979	0.9473	0.173119
42	-0.08091	-0.7371	0.231562
43	0.060748	0.5534	0.290726
44	0.014419	0.1314	0.447903
45	-0.130397	-1.188	0.119116
46	0.100568	0.9162	0.181103
47	0.041309	0.3763	0.353811
48	-0.123997	-1.1297	0.130935

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.42054 & -3.8313 & 0.000123 \tabularnewline
2 & -0.131828 & -1.201 & 0.116581 \tabularnewline
3 & 0.083562 & 0.7613 & 0.224321 \tabularnewline
4 & -0.121906 & -1.1106 & 0.13497 \tabularnewline
5 & 0.12458 & 1.135 & 0.129825 \tabularnewline
6 & 0.055874 & 0.509 & 0.306039 \tabularnewline
7 & -0.102733 & -0.9359 & 0.176008 \tabularnewline
8 & -0.089989 & -0.8198 & 0.207327 \tabularnewline
9 & 0.256402 & 2.3359 & 0.010953 \tabularnewline
10 & -0.120827 & -1.1008 & 0.137086 \tabularnewline
11 & 0.031931 & 0.2909 & 0.385923 \tabularnewline
12 & -0.081615 & -0.7436 & 0.229624 \tabularnewline
13 & -0.184585 & -1.6817 & 0.048198 \tabularnewline
14 & 0.322963 & 2.9423 & 0.002111 \tabularnewline
15 & -0.072519 & -0.6607 & 0.255324 \tabularnewline
16 & -0.083127 & -0.7573 & 0.225501 \tabularnewline
17 & 0.038193 & 0.348 & 0.364377 \tabularnewline
18 & 0.097328 & 0.8867 & 0.188901 \tabularnewline
19 & -0.109359 & -0.9963 & 0.160999 \tabularnewline
20 & -0.017903 & -0.1631 & 0.435418 \tabularnewline
21 & 0.06416 & 0.5845 & 0.280226 \tabularnewline
22 & -0.178526 & -1.6265 & 0.053822 \tabularnewline
23 & 0.301069 & 2.7429 & 0.00373 \tabularnewline
24 & -0.115081 & -1.0484 & 0.148741 \tabularnewline
25 & -0.074561 & -0.6793 & 0.249425 \tabularnewline
26 & 0.004913 & 0.0448 & 0.482202 \tabularnewline
27 & 0.058866 & 0.5363 & 0.296595 \tabularnewline
28 & -0.018547 & -0.169 & 0.433114 \tabularnewline
29 & 0.025131 & 0.229 & 0.409733 \tabularnewline
30 & -0.066279 & -0.6038 & 0.273802 \tabularnewline
31 & -0.124907 & -1.138 & 0.129207 \tabularnewline
32 & 0.243682 & 2.22 & 0.014571 \tabularnewline
33 & -0.032973 & -0.3004 & 0.382312 \tabularnewline
34 & -0.095785 & -0.8726 & 0.192687 \tabularnewline
35 & 0.077051 & 0.702 & 0.242331 \tabularnewline
36 & -0.150249 & -1.3688 & 0.087373 \tabularnewline
37 & 0.086847 & 0.7912 & 0.215537 \tabularnewline
38 & 0.087484 & 0.797 & 0.213857 \tabularnewline
39 & -0.078774 & -0.7177 & 0.237488 \tabularnewline
40 & -0.044605 & -0.4064 & 0.342757 \tabularnewline
41 & 0.103979 & 0.9473 & 0.173119 \tabularnewline
42 & -0.08091 & -0.7371 & 0.231562 \tabularnewline
43 & 0.060748 & 0.5534 & 0.290726 \tabularnewline
44 & 0.014419 & 0.1314 & 0.447903 \tabularnewline
45 & -0.130397 & -1.188 & 0.119116 \tabularnewline
46 & 0.100568 & 0.9162 & 0.181103 \tabularnewline
47 & 0.041309 & 0.3763 & 0.353811 \tabularnewline
48 & -0.123997 & -1.1297 & 0.130935 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104669&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]-0.42054[/C][C]-3.8313[/C][C]0.000123[/C][/ROW]
[ROW][C]2[/C][C]-0.131828[/C][C]-1.201[/C][C]0.116581[/C][/ROW]
[ROW][C]3[/C][C]0.083562[/C][C]0.7613[/C][C]0.224321[/C][/ROW]
[ROW][C]4[/C][C]-0.121906[/C][C]-1.1106[/C][C]0.13497[/C][/ROW]
[ROW][C]5[/C][C]0.12458[/C][C]1.135[/C][C]0.129825[/C][/ROW]
[ROW][C]6[/C][C]0.055874[/C][C]0.509[/C][C]0.306039[/C][/ROW]
[ROW][C]7[/C][C]-0.102733[/C][C]-0.9359[/C][C]0.176008[/C][/ROW]
[ROW][C]8[/C][C]-0.089989[/C][C]-0.8198[/C][C]0.207327[/C][/ROW]
[ROW][C]9[/C][C]0.256402[/C][C]2.3359[/C][C]0.010953[/C][/ROW]
[ROW][C]10[/C][C]-0.120827[/C][C]-1.1008[/C][C]0.137086[/C][/ROW]
[ROW][C]11[/C][C]0.031931[/C][C]0.2909[/C][C]0.385923[/C][/ROW]
[ROW][C]12[/C][C]-0.081615[/C][C]-0.7436[/C][C]0.229624[/C][/ROW]
[ROW][C]13[/C][C]-0.184585[/C][C]-1.6817[/C][C]0.048198[/C][/ROW]
[ROW][C]14[/C][C]0.322963[/C][C]2.9423[/C][C]0.002111[/C][/ROW]
[ROW][C]15[/C][C]-0.072519[/C][C]-0.6607[/C][C]0.255324[/C][/ROW]
[ROW][C]16[/C][C]-0.083127[/C][C]-0.7573[/C][C]0.225501[/C][/ROW]
[ROW][C]17[/C][C]0.038193[/C][C]0.348[/C][C]0.364377[/C][/ROW]
[ROW][C]18[/C][C]0.097328[/C][C]0.8867[/C][C]0.188901[/C][/ROW]
[ROW][C]19[/C][C]-0.109359[/C][C]-0.9963[/C][C]0.160999[/C][/ROW]
[ROW][C]20[/C][C]-0.017903[/C][C]-0.1631[/C][C]0.435418[/C][/ROW]
[ROW][C]21[/C][C]0.06416[/C][C]0.5845[/C][C]0.280226[/C][/ROW]
[ROW][C]22[/C][C]-0.178526[/C][C]-1.6265[/C][C]0.053822[/C][/ROW]
[ROW][C]23[/C][C]0.301069[/C][C]2.7429[/C][C]0.00373[/C][/ROW]
[ROW][C]24[/C][C]-0.115081[/C][C]-1.0484[/C][C]0.148741[/C][/ROW]
[ROW][C]25[/C][C]-0.074561[/C][C]-0.6793[/C][C]0.249425[/C][/ROW]
[ROW][C]26[/C][C]0.004913[/C][C]0.0448[/C][C]0.482202[/C][/ROW]
[ROW][C]27[/C][C]0.058866[/C][C]0.5363[/C][C]0.296595[/C][/ROW]
[ROW][C]28[/C][C]-0.018547[/C][C]-0.169[/C][C]0.433114[/C][/ROW]
[ROW][C]29[/C][C]0.025131[/C][C]0.229[/C][C]0.409733[/C][/ROW]
[ROW][C]30[/C][C]-0.066279[/C][C]-0.6038[/C][C]0.273802[/C][/ROW]
[ROW][C]31[/C][C]-0.124907[/C][C]-1.138[/C][C]0.129207[/C][/ROW]
[ROW][C]32[/C][C]0.243682[/C][C]2.22[/C][C]0.014571[/C][/ROW]
[ROW][C]33[/C][C]-0.032973[/C][C]-0.3004[/C][C]0.382312[/C][/ROW]
[ROW][C]34[/C][C]-0.095785[/C][C]-0.8726[/C][C]0.192687[/C][/ROW]
[ROW][C]35[/C][C]0.077051[/C][C]0.702[/C][C]0.242331[/C][/ROW]
[ROW][C]36[/C][C]-0.150249[/C][C]-1.3688[/C][C]0.087373[/C][/ROW]
[ROW][C]37[/C][C]0.086847[/C][C]0.7912[/C][C]0.215537[/C][/ROW]
[ROW][C]38[/C][C]0.087484[/C][C]0.797[/C][C]0.213857[/C][/ROW]
[ROW][C]39[/C][C]-0.078774[/C][C]-0.7177[/C][C]0.237488[/C][/ROW]
[ROW][C]40[/C][C]-0.044605[/C][C]-0.4064[/C][C]0.342757[/C][/ROW]
[ROW][C]41[/C][C]0.103979[/C][C]0.9473[/C][C]0.173119[/C][/ROW]
[ROW][C]42[/C][C]-0.08091[/C][C]-0.7371[/C][C]0.231562[/C][/ROW]
[ROW][C]43[/C][C]0.060748[/C][C]0.5534[/C][C]0.290726[/C][/ROW]
[ROW][C]44[/C][C]0.014419[/C][C]0.1314[/C][C]0.447903[/C][/ROW]
[ROW][C]45[/C][C]-0.130397[/C][C]-1.188[/C][C]0.119116[/C][/ROW]
[ROW][C]46[/C][C]0.100568[/C][C]0.9162[/C][C]0.181103[/C][/ROW]
[ROW][C]47[/C][C]0.041309[/C][C]0.3763[/C][C]0.353811[/C][/ROW]
[ROW][C]48[/C][C]-0.123997[/C][C]-1.1297[/C][C]0.130935[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104669&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104669&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	-0.42054	-3.8313	0.000123
2	-0.131828	-1.201	0.116581
3	0.083562	0.7613	0.224321
4	-0.121906	-1.1106	0.13497
5	0.12458	1.135	0.129825
6	0.055874	0.509	0.306039
7	-0.102733	-0.9359	0.176008
8	-0.089989	-0.8198	0.207327
9	0.256402	2.3359	0.010953
10	-0.120827	-1.1008	0.137086
11	0.031931	0.2909	0.385923
12	-0.081615	-0.7436	0.229624
13	-0.184585	-1.6817	0.048198
14	0.322963	2.9423	0.002111
15	-0.072519	-0.6607	0.255324
16	-0.083127	-0.7573	0.225501
17	0.038193	0.348	0.364377
18	0.097328	0.8867	0.188901
19	-0.109359	-0.9963	0.160999
20	-0.017903	-0.1631	0.435418
21	0.06416	0.5845	0.280226
22	-0.178526	-1.6265	0.053822
23	0.301069	2.7429	0.00373
24	-0.115081	-1.0484	0.148741
25	-0.074561	-0.6793	0.249425
26	0.004913	0.0448	0.482202
27	0.058866	0.5363	0.296595
28	-0.018547	-0.169	0.433114
29	0.025131	0.229	0.409733
30	-0.066279	-0.6038	0.273802
31	-0.124907	-1.138	0.129207
32	0.243682	2.22	0.014571
33	-0.032973	-0.3004	0.382312
34	-0.095785	-0.8726	0.192687
35	0.077051	0.702	0.242331
36	-0.150249	-1.3688	0.087373
37	0.086847	0.7912	0.215537
38	0.087484	0.797	0.213857
39	-0.078774	-0.7177	0.237488
40	-0.044605	-0.4064	0.342757
41	0.103979	0.9473	0.173119
42	-0.08091	-0.7371	0.231562
43	0.060748	0.5534	0.290726
44	0.014419	0.1314	0.447903
45	-0.130397	-1.188	0.119116
46	0.100568	0.9162	0.181103
47	0.041309	0.3763	0.353811
48	-0.123997	-1.1297	0.130935

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.42054	-3.8313	0.000123
2	-0.375003	-3.4164	0.000492
3	-0.21257	-1.9366	0.028098
4	-0.328622	-2.9939	0.001814
5	-0.171937	-1.5664	0.060527
6	-0.039064	-0.3559	0.361412
7	-0.06212	-0.5659	0.286481
8	-0.231745	-2.1113	0.018877
9	0.116125	1.058	0.146573
10	0.073674	0.6712	0.251977
11	0.177367	1.6159	0.054956
12	0.021945	0.1999	0.421011
13	-0.263992	-2.4051	0.009196
14	-0.034242	-0.312	0.377926
15	-0.087412	-0.7964	0.214048
16	-0.135946	-1.2385	0.109506
17	-0.103613	-0.944	0.173965
18	0.180742	1.6466	0.051707
19	0.118843	1.0827	0.141035
20	-0.04948	-0.4508	0.32666
21	0.07449	0.6786	0.249629
22	-0.066781	-0.6084	0.27229
23	0.114779	1.0457	0.149372
24	0.000456	0.0042	0.498349
25	-0.059534	-0.5424	0.294504
26	-0.149668	-1.3635	0.0882
27	0.038217	0.3482	0.364295
28	-0.050004	-0.4556	0.32495
29	0.05182	0.4721	0.319045
30	0.040482	0.3688	0.356605
31	-0.116094	-1.0577	0.146638
32	-0.178334	-1.6247	0.054009
33	-0.057252	-0.5216	0.301673
34	-0.074052	-0.6746	0.250889
35	0.041623	0.3792	0.352752
36	-0.042115	-0.3837	0.351097
37	-0.114645	-1.0445	0.149651
38	-0.063457	-0.5781	0.282373
39	-0.009192	-0.0837	0.46673
40	0.007086	0.0646	0.474341
41	-0.009514	-0.0867	0.46557
42	-0.071954	-0.6555	0.25697
43	-0.019468	-0.1774	0.429828
44	-0.081084	-0.7387	0.231082
45	0.019114	0.1741	0.43109
46	0.006528	0.0595	0.476358
47	0.129655	1.1812	0.120445
48	-0.06586	-0.6	0.275066

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.42054 & -3.8313 & 0.000123 \tabularnewline
2 & -0.375003 & -3.4164 & 0.000492 \tabularnewline
3 & -0.21257 & -1.9366 & 0.028098 \tabularnewline
4 & -0.328622 & -2.9939 & 0.001814 \tabularnewline
5 & -0.171937 & -1.5664 & 0.060527 \tabularnewline
6 & -0.039064 & -0.3559 & 0.361412 \tabularnewline
7 & -0.06212 & -0.5659 & 0.286481 \tabularnewline
8 & -0.231745 & -2.1113 & 0.018877 \tabularnewline
9 & 0.116125 & 1.058 & 0.146573 \tabularnewline
10 & 0.073674 & 0.6712 & 0.251977 \tabularnewline
11 & 0.177367 & 1.6159 & 0.054956 \tabularnewline
12 & 0.021945 & 0.1999 & 0.421011 \tabularnewline
13 & -0.263992 & -2.4051 & 0.009196 \tabularnewline
14 & -0.034242 & -0.312 & 0.377926 \tabularnewline
15 & -0.087412 & -0.7964 & 0.214048 \tabularnewline
16 & -0.135946 & -1.2385 & 0.109506 \tabularnewline
17 & -0.103613 & -0.944 & 0.173965 \tabularnewline
18 & 0.180742 & 1.6466 & 0.051707 \tabularnewline
19 & 0.118843 & 1.0827 & 0.141035 \tabularnewline
20 & -0.04948 & -0.4508 & 0.32666 \tabularnewline
21 & 0.07449 & 0.6786 & 0.249629 \tabularnewline
22 & -0.066781 & -0.6084 & 0.27229 \tabularnewline
23 & 0.114779 & 1.0457 & 0.149372 \tabularnewline
24 & 0.000456 & 0.0042 & 0.498349 \tabularnewline
25 & -0.059534 & -0.5424 & 0.294504 \tabularnewline
26 & -0.149668 & -1.3635 & 0.0882 \tabularnewline
27 & 0.038217 & 0.3482 & 0.364295 \tabularnewline
28 & -0.050004 & -0.4556 & 0.32495 \tabularnewline
29 & 0.05182 & 0.4721 & 0.319045 \tabularnewline
30 & 0.040482 & 0.3688 & 0.356605 \tabularnewline
31 & -0.116094 & -1.0577 & 0.146638 \tabularnewline
32 & -0.178334 & -1.6247 & 0.054009 \tabularnewline
33 & -0.057252 & -0.5216 & 0.301673 \tabularnewline
34 & -0.074052 & -0.6746 & 0.250889 \tabularnewline
35 & 0.041623 & 0.3792 & 0.352752 \tabularnewline
36 & -0.042115 & -0.3837 & 0.351097 \tabularnewline
37 & -0.114645 & -1.0445 & 0.149651 \tabularnewline
38 & -0.063457 & -0.5781 & 0.282373 \tabularnewline
39 & -0.009192 & -0.0837 & 0.46673 \tabularnewline
40 & 0.007086 & 0.0646 & 0.474341 \tabularnewline
41 & -0.009514 & -0.0867 & 0.46557 \tabularnewline
42 & -0.071954 & -0.6555 & 0.25697 \tabularnewline
43 & -0.019468 & -0.1774 & 0.429828 \tabularnewline
44 & -0.081084 & -0.7387 & 0.231082 \tabularnewline
45 & 0.019114 & 0.1741 & 0.43109 \tabularnewline
46 & 0.006528 & 0.0595 & 0.476358 \tabularnewline
47 & 0.129655 & 1.1812 & 0.120445 \tabularnewline
48 & -0.06586 & -0.6 & 0.275066 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104669&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]-0.42054[/C][C]-3.8313[/C][C]0.000123[/C][/ROW]
[ROW][C]2[/C][C]-0.375003[/C][C]-3.4164[/C][C]0.000492[/C][/ROW]
[ROW][C]3[/C][C]-0.21257[/C][C]-1.9366[/C][C]0.028098[/C][/ROW]
[ROW][C]4[/C][C]-0.328622[/C][C]-2.9939[/C][C]0.001814[/C][/ROW]
[ROW][C]5[/C][C]-0.171937[/C][C]-1.5664[/C][C]0.060527[/C][/ROW]
[ROW][C]6[/C][C]-0.039064[/C][C]-0.3559[/C][C]0.361412[/C][/ROW]
[ROW][C]7[/C][C]-0.06212[/C][C]-0.5659[/C][C]0.286481[/C][/ROW]
[ROW][C]8[/C][C]-0.231745[/C][C]-2.1113[/C][C]0.018877[/C][/ROW]
[ROW][C]9[/C][C]0.116125[/C][C]1.058[/C][C]0.146573[/C][/ROW]
[ROW][C]10[/C][C]0.073674[/C][C]0.6712[/C][C]0.251977[/C][/ROW]
[ROW][C]11[/C][C]0.177367[/C][C]1.6159[/C][C]0.054956[/C][/ROW]
[ROW][C]12[/C][C]0.021945[/C][C]0.1999[/C][C]0.421011[/C][/ROW]
[ROW][C]13[/C][C]-0.263992[/C][C]-2.4051[/C][C]0.009196[/C][/ROW]
[ROW][C]14[/C][C]-0.034242[/C][C]-0.312[/C][C]0.377926[/C][/ROW]
[ROW][C]15[/C][C]-0.087412[/C][C]-0.7964[/C][C]0.214048[/C][/ROW]
[ROW][C]16[/C][C]-0.135946[/C][C]-1.2385[/C][C]0.109506[/C][/ROW]
[ROW][C]17[/C][C]-0.103613[/C][C]-0.944[/C][C]0.173965[/C][/ROW]
[ROW][C]18[/C][C]0.180742[/C][C]1.6466[/C][C]0.051707[/C][/ROW]
[ROW][C]19[/C][C]0.118843[/C][C]1.0827[/C][C]0.141035[/C][/ROW]
[ROW][C]20[/C][C]-0.04948[/C][C]-0.4508[/C][C]0.32666[/C][/ROW]
[ROW][C]21[/C][C]0.07449[/C][C]0.6786[/C][C]0.249629[/C][/ROW]
[ROW][C]22[/C][C]-0.066781[/C][C]-0.6084[/C][C]0.27229[/C][/ROW]
[ROW][C]23[/C][C]0.114779[/C][C]1.0457[/C][C]0.149372[/C][/ROW]
[ROW][C]24[/C][C]0.000456[/C][C]0.0042[/C][C]0.498349[/C][/ROW]
[ROW][C]25[/C][C]-0.059534[/C][C]-0.5424[/C][C]0.294504[/C][/ROW]
[ROW][C]26[/C][C]-0.149668[/C][C]-1.3635[/C][C]0.0882[/C][/ROW]
[ROW][C]27[/C][C]0.038217[/C][C]0.3482[/C][C]0.364295[/C][/ROW]
[ROW][C]28[/C][C]-0.050004[/C][C]-0.4556[/C][C]0.32495[/C][/ROW]
[ROW][C]29[/C][C]0.05182[/C][C]0.4721[/C][C]0.319045[/C][/ROW]
[ROW][C]30[/C][C]0.040482[/C][C]0.3688[/C][C]0.356605[/C][/ROW]
[ROW][C]31[/C][C]-0.116094[/C][C]-1.0577[/C][C]0.146638[/C][/ROW]
[ROW][C]32[/C][C]-0.178334[/C][C]-1.6247[/C][C]0.054009[/C][/ROW]
[ROW][C]33[/C][C]-0.057252[/C][C]-0.5216[/C][C]0.301673[/C][/ROW]
[ROW][C]34[/C][C]-0.074052[/C][C]-0.6746[/C][C]0.250889[/C][/ROW]
[ROW][C]35[/C][C]0.041623[/C][C]0.3792[/C][C]0.352752[/C][/ROW]
[ROW][C]36[/C][C]-0.042115[/C][C]-0.3837[/C][C]0.351097[/C][/ROW]
[ROW][C]37[/C][C]-0.114645[/C][C]-1.0445[/C][C]0.149651[/C][/ROW]
[ROW][C]38[/C][C]-0.063457[/C][C]-0.5781[/C][C]0.282373[/C][/ROW]
[ROW][C]39[/C][C]-0.009192[/C][C]-0.0837[/C][C]0.46673[/C][/ROW]
[ROW][C]40[/C][C]0.007086[/C][C]0.0646[/C][C]0.474341[/C][/ROW]
[ROW][C]41[/C][C]-0.009514[/C][C]-0.0867[/C][C]0.46557[/C][/ROW]
[ROW][C]42[/C][C]-0.071954[/C][C]-0.6555[/C][C]0.25697[/C][/ROW]
[ROW][C]43[/C][C]-0.019468[/C][C]-0.1774[/C][C]0.429828[/C][/ROW]
[ROW][C]44[/C][C]-0.081084[/C][C]-0.7387[/C][C]0.231082[/C][/ROW]
[ROW][C]45[/C][C]0.019114[/C][C]0.1741[/C][C]0.43109[/C][/ROW]
[ROW][C]46[/C][C]0.006528[/C][C]0.0595[/C][C]0.476358[/C][/ROW]
[ROW][C]47[/C][C]0.129655[/C][C]1.1812[/C][C]0.120445[/C][/ROW]
[ROW][C]48[/C][C]-0.06586[/C][C]-0.6[/C][C]0.275066[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104669&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104669&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	-0.42054	-3.8313	0.000123
2	-0.375003	-3.4164	0.000492
3	-0.21257	-1.9366	0.028098
4	-0.328622	-2.9939	0.001814
5	-0.171937	-1.5664	0.060527
6	-0.039064	-0.3559	0.361412
7	-0.06212	-0.5659	0.286481
8	-0.231745	-2.1113	0.018877
9	0.116125	1.058	0.146573
10	0.073674	0.6712	0.251977
11	0.177367	1.6159	0.054956
12	0.021945	0.1999	0.421011
13	-0.263992	-2.4051	0.009196
14	-0.034242	-0.312	0.377926
15	-0.087412	-0.7964	0.214048
16	-0.135946	-1.2385	0.109506
17	-0.103613	-0.944	0.173965
18	0.180742	1.6466	0.051707
19	0.118843	1.0827	0.141035
20	-0.04948	-0.4508	0.32666
21	0.07449	0.6786	0.249629
22	-0.066781	-0.6084	0.27229
23	0.114779	1.0457	0.149372
24	0.000456	0.0042	0.498349
25	-0.059534	-0.5424	0.294504
26	-0.149668	-1.3635	0.0882
27	0.038217	0.3482	0.364295
28	-0.050004	-0.4556	0.32495
29	0.05182	0.4721	0.319045
30	0.040482	0.3688	0.356605
31	-0.116094	-1.0577	0.146638
32	-0.178334	-1.6247	0.054009
33	-0.057252	-0.5216	0.301673
34	-0.074052	-0.6746	0.250889
35	0.041623	0.3792	0.352752
36	-0.042115	-0.3837	0.351097
37	-0.114645	-1.0445	0.149651
38	-0.063457	-0.5781	0.282373
39	-0.009192	-0.0837	0.46673
40	0.007086	0.0646	0.474341
41	-0.009514	-0.0867	0.46557
42	-0.071954	-0.6555	0.25697
43	-0.019468	-0.1774	0.429828
44	-0.081084	-0.7387	0.231082
45	0.019114	0.1741	0.43109
46	0.006528	0.0595	0.476358
47	0.129655	1.1812	0.120445
48	-0.06586	-0.6	0.275066

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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