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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 24 Nov 2009 09:13:45 -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/Nov/24/t1259079358oqhd4fpe2vp4bpi.htm/, Retrieved Sat, 12 Oct 2024 12:21:53 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59144, Retrieved Sat, 12 Oct 2024 12:21:53 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

255

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       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [Workshop 8 - Meth...] [2009-11-24 16:13:45] [d904c6aa144b8c40108ebe5ec22fe1a0] [Current]
-                 [(Partial) Autocorrelation Function] [workshop 8/method...] [2009-11-30 13:04:11] [24c4941ee50deadff4640c9c09cc70cb] 
-                 [(Partial) Autocorrelation Function] [] [2009-11-30 16:52:46] [74be16979710d4c4e7c6647856088456] 
-   P               [(Partial) Autocorrelation Function] [] [2009-12-01 18:27:34] [1e83ffa964db6f7ea6ccc4e7b5acbbff] 
-                   [(Partial) Autocorrelation Function] [] [2009-12-03 17:28:27] [74be16979710d4c4e7c6647856088456] 
-                 [(Partial) Autocorrelation Function] [Workshop 8: Metho...] [2009-12-07 12:49:27] [24c4941ee50deadff4640c9c09cc70cb] 
-    D            [(Partial) Autocorrelation Function] [] [2009-12-07 13:30:32] [3af9fa3d2c04a43d660a9a466bdfbaa0] 
- RMP               [ARIMA Backward Selection] [] [2009-12-07 13:56:36] [3af9fa3d2c04a43d660a9a466bdfbaa0] 
- RMP               [Standard Deviation-Mean Plot] [] [2009-12-12 15:41:19] [74be16979710d4c4e7c6647856088456] 
- RMP               [ARIMA Forecasting] [] [2009-12-14 21:16:16] [3af9fa3d2c04a43d660a9a466bdfbaa0] 

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Dataseries X:

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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	'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59144&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59144&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59144&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	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.121866	0.9361	0.176526
2	0.309216	2.3751	0.010406
3	0.320021	2.4581	0.008461
4	0.227016	1.7437	0.043206
5	0.104571	0.8032	0.212535
6	0.199386	1.5315	0.065494
7	0.098474	0.7564	0.226212
8	0.159152	1.2225	0.113195
9	0.093865	0.721	0.236881
10	-0.070138	-0.5387	0.296048
11	0.340112	2.6125	0.005693
12	-0.130873	-1.0053	0.159441
13	0.030889	0.2373	0.406636
14	0.103561	0.7955	0.214764
15	0.078022	0.5993	0.275635
16	-0.063958	-0.4913	0.312527
17	0.099744	0.7661	0.223322
18	-0.091513	-0.7029	0.242434
19	0.010415	0.08	0.468254
20	-0.09032	-0.6938	0.245278
21	-0.118127	-0.9074	0.183955
22	0.013187	0.1013	0.459831
23	-0.177618	-1.3643	0.088826
24	-0.147704	-1.1345	0.13058
25	-0.121519	-0.9334	0.177207
26	-0.039162	-0.3008	0.382308
27	-0.204088	-1.5676	0.061158
28	-0.120348	-0.9244	0.17952
29	-0.094608	-0.7267	0.235142
30	-0.094369	-0.7249	0.2357
31	-0.084937	-0.6524	0.258334
32	-0.041526	-0.319	0.37544
33	-0.023026	-0.1769	0.430109
34	-0.128088	-0.9839	0.164601
35	-0.009944	-0.0764	0.469686
36	-0.07903	-0.607	0.273076

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.121866 & 0.9361 & 0.176526 \tabularnewline
2 & 0.309216 & 2.3751 & 0.010406 \tabularnewline
3 & 0.320021 & 2.4581 & 0.008461 \tabularnewline
4 & 0.227016 & 1.7437 & 0.043206 \tabularnewline
5 & 0.104571 & 0.8032 & 0.212535 \tabularnewline
6 & 0.199386 & 1.5315 & 0.065494 \tabularnewline
7 & 0.098474 & 0.7564 & 0.226212 \tabularnewline
8 & 0.159152 & 1.2225 & 0.113195 \tabularnewline
9 & 0.093865 & 0.721 & 0.236881 \tabularnewline
10 & -0.070138 & -0.5387 & 0.296048 \tabularnewline
11 & 0.340112 & 2.6125 & 0.005693 \tabularnewline
12 & -0.130873 & -1.0053 & 0.159441 \tabularnewline
13 & 0.030889 & 0.2373 & 0.406636 \tabularnewline
14 & 0.103561 & 0.7955 & 0.214764 \tabularnewline
15 & 0.078022 & 0.5993 & 0.275635 \tabularnewline
16 & -0.063958 & -0.4913 & 0.312527 \tabularnewline
17 & 0.099744 & 0.7661 & 0.223322 \tabularnewline
18 & -0.091513 & -0.7029 & 0.242434 \tabularnewline
19 & 0.010415 & 0.08 & 0.468254 \tabularnewline
20 & -0.09032 & -0.6938 & 0.245278 \tabularnewline
21 & -0.118127 & -0.9074 & 0.183955 \tabularnewline
22 & 0.013187 & 0.1013 & 0.459831 \tabularnewline
23 & -0.177618 & -1.3643 & 0.088826 \tabularnewline
24 & -0.147704 & -1.1345 & 0.13058 \tabularnewline
25 & -0.121519 & -0.9334 & 0.177207 \tabularnewline
26 & -0.039162 & -0.3008 & 0.382308 \tabularnewline
27 & -0.204088 & -1.5676 & 0.061158 \tabularnewline
28 & -0.120348 & -0.9244 & 0.17952 \tabularnewline
29 & -0.094608 & -0.7267 & 0.235142 \tabularnewline
30 & -0.094369 & -0.7249 & 0.2357 \tabularnewline
31 & -0.084937 & -0.6524 & 0.258334 \tabularnewline
32 & -0.041526 & -0.319 & 0.37544 \tabularnewline
33 & -0.023026 & -0.1769 & 0.430109 \tabularnewline
34 & -0.128088 & -0.9839 & 0.164601 \tabularnewline
35 & -0.009944 & -0.0764 & 0.469686 \tabularnewline
36 & -0.07903 & -0.607 & 0.273076 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59144&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]0.121866[/C][C]0.9361[/C][C]0.176526[/C][/ROW]
[ROW][C]2[/C][C]0.309216[/C][C]2.3751[/C][C]0.010406[/C][/ROW]
[ROW][C]3[/C][C]0.320021[/C][C]2.4581[/C][C]0.008461[/C][/ROW]
[ROW][C]4[/C][C]0.227016[/C][C]1.7437[/C][C]0.043206[/C][/ROW]
[ROW][C]5[/C][C]0.104571[/C][C]0.8032[/C][C]0.212535[/C][/ROW]
[ROW][C]6[/C][C]0.199386[/C][C]1.5315[/C][C]0.065494[/C][/ROW]
[ROW][C]7[/C][C]0.098474[/C][C]0.7564[/C][C]0.226212[/C][/ROW]
[ROW][C]8[/C][C]0.159152[/C][C]1.2225[/C][C]0.113195[/C][/ROW]
[ROW][C]9[/C][C]0.093865[/C][C]0.721[/C][C]0.236881[/C][/ROW]
[ROW][C]10[/C][C]-0.070138[/C][C]-0.5387[/C][C]0.296048[/C][/ROW]
[ROW][C]11[/C][C]0.340112[/C][C]2.6125[/C][C]0.005693[/C][/ROW]
[ROW][C]12[/C][C]-0.130873[/C][C]-1.0053[/C][C]0.159441[/C][/ROW]
[ROW][C]13[/C][C]0.030889[/C][C]0.2373[/C][C]0.406636[/C][/ROW]
[ROW][C]14[/C][C]0.103561[/C][C]0.7955[/C][C]0.214764[/C][/ROW]
[ROW][C]15[/C][C]0.078022[/C][C]0.5993[/C][C]0.275635[/C][/ROW]
[ROW][C]16[/C][C]-0.063958[/C][C]-0.4913[/C][C]0.312527[/C][/ROW]
[ROW][C]17[/C][C]0.099744[/C][C]0.7661[/C][C]0.223322[/C][/ROW]
[ROW][C]18[/C][C]-0.091513[/C][C]-0.7029[/C][C]0.242434[/C][/ROW]
[ROW][C]19[/C][C]0.010415[/C][C]0.08[/C][C]0.468254[/C][/ROW]
[ROW][C]20[/C][C]-0.09032[/C][C]-0.6938[/C][C]0.245278[/C][/ROW]
[ROW][C]21[/C][C]-0.118127[/C][C]-0.9074[/C][C]0.183955[/C][/ROW]
[ROW][C]22[/C][C]0.013187[/C][C]0.1013[/C][C]0.459831[/C][/ROW]
[ROW][C]23[/C][C]-0.177618[/C][C]-1.3643[/C][C]0.088826[/C][/ROW]
[ROW][C]24[/C][C]-0.147704[/C][C]-1.1345[/C][C]0.13058[/C][/ROW]
[ROW][C]25[/C][C]-0.121519[/C][C]-0.9334[/C][C]0.177207[/C][/ROW]
[ROW][C]26[/C][C]-0.039162[/C][C]-0.3008[/C][C]0.382308[/C][/ROW]
[ROW][C]27[/C][C]-0.204088[/C][C]-1.5676[/C][C]0.061158[/C][/ROW]
[ROW][C]28[/C][C]-0.120348[/C][C]-0.9244[/C][C]0.17952[/C][/ROW]
[ROW][C]29[/C][C]-0.094608[/C][C]-0.7267[/C][C]0.235142[/C][/ROW]
[ROW][C]30[/C][C]-0.094369[/C][C]-0.7249[/C][C]0.2357[/C][/ROW]
[ROW][C]31[/C][C]-0.084937[/C][C]-0.6524[/C][C]0.258334[/C][/ROW]
[ROW][C]32[/C][C]-0.041526[/C][C]-0.319[/C][C]0.37544[/C][/ROW]
[ROW][C]33[/C][C]-0.023026[/C][C]-0.1769[/C][C]0.430109[/C][/ROW]
[ROW][C]34[/C][C]-0.128088[/C][C]-0.9839[/C][C]0.164601[/C][/ROW]
[ROW][C]35[/C][C]-0.009944[/C][C]-0.0764[/C][C]0.469686[/C][/ROW]
[ROW][C]36[/C][C]-0.07903[/C][C]-0.607[/C][C]0.273076[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59144&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59144&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	0.121866	0.9361	0.176526
2	0.309216	2.3751	0.010406
3	0.320021	2.4581	0.008461
4	0.227016	1.7437	0.043206
5	0.104571	0.8032	0.212535
6	0.199386	1.5315	0.065494
7	0.098474	0.7564	0.226212
8	0.159152	1.2225	0.113195
9	0.093865	0.721	0.236881
10	-0.070138	-0.5387	0.296048
11	0.340112	2.6125	0.005693
12	-0.130873	-1.0053	0.159441
13	0.030889	0.2373	0.406636
14	0.103561	0.7955	0.214764
15	0.078022	0.5993	0.275635
16	-0.063958	-0.4913	0.312527
17	0.099744	0.7661	0.223322
18	-0.091513	-0.7029	0.242434
19	0.010415	0.08	0.468254
20	-0.09032	-0.6938	0.245278
21	-0.118127	-0.9074	0.183955
22	0.013187	0.1013	0.459831
23	-0.177618	-1.3643	0.088826
24	-0.147704	-1.1345	0.13058
25	-0.121519	-0.9334	0.177207
26	-0.039162	-0.3008	0.382308
27	-0.204088	-1.5676	0.061158
28	-0.120348	-0.9244	0.17952
29	-0.094608	-0.7267	0.235142
30	-0.094369	-0.7249	0.2357
31	-0.084937	-0.6524	0.258334
32	-0.041526	-0.319	0.37544
33	-0.023026	-0.1769	0.430109
34	-0.128088	-0.9839	0.164601
35	-0.009944	-0.0764	0.469686
36	-0.07903	-0.607	0.273076

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.121866	0.9361	0.176526
2	0.298802	2.2951	0.012649
3	0.286654	2.2018	0.0158
4	0.130335	1.0011	0.160428
5	-0.083725	-0.6431	0.261323
6	0.019042	0.1463	0.442105
7	-0.009601	-0.0737	0.470732
8	0.088504	0.6798	0.24964
9	0.020045	0.154	0.439079
10	-0.21896	-1.6819	0.048941
11	0.317488	2.4387	0.008885
12	-0.18785	-1.4429	0.077168
13	-0.058581	-0.45	0.327189
14	0.060993	0.4685	0.320578
15	0.075046	0.5764	0.283256
16	-0.017441	-0.134	0.446941
17	-0.0454	-0.3487	0.364268
18	-0.121256	-0.9314	0.177726
19	-0.020502	-0.1575	0.437703
20	-0.080006	-0.6145	0.27061
21	0.009586	0.0736	0.470777
22	-0.072981	-0.5606	0.288604
23	-0.034578	-0.2656	0.395736
24	-0.065541	-0.5034	0.308268
25	-0.116257	-0.893	0.187746
26	0.119224	0.9158	0.181755
27	0.000685	0.0053	0.497911
28	-0.160801	-1.2351	0.110838
29	0.103021	0.7913	0.215963
30	-0.054378	-0.4177	0.338848
31	0.117282	0.9009	0.185663
32	0.046095	0.3541	0.362276
33	-0.026853	-0.2063	0.418648
34	-0.086292	-0.6628	0.255012
35	0.063553	0.4882	0.313623
36	0.005087	0.0391	0.484483

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.121866 & 0.9361 & 0.176526 \tabularnewline
2 & 0.298802 & 2.2951 & 0.012649 \tabularnewline
3 & 0.286654 & 2.2018 & 0.0158 \tabularnewline
4 & 0.130335 & 1.0011 & 0.160428 \tabularnewline
5 & -0.083725 & -0.6431 & 0.261323 \tabularnewline
6 & 0.019042 & 0.1463 & 0.442105 \tabularnewline
7 & -0.009601 & -0.0737 & 0.470732 \tabularnewline
8 & 0.088504 & 0.6798 & 0.24964 \tabularnewline
9 & 0.020045 & 0.154 & 0.439079 \tabularnewline
10 & -0.21896 & -1.6819 & 0.048941 \tabularnewline
11 & 0.317488 & 2.4387 & 0.008885 \tabularnewline
12 & -0.18785 & -1.4429 & 0.077168 \tabularnewline
13 & -0.058581 & -0.45 & 0.327189 \tabularnewline
14 & 0.060993 & 0.4685 & 0.320578 \tabularnewline
15 & 0.075046 & 0.5764 & 0.283256 \tabularnewline
16 & -0.017441 & -0.134 & 0.446941 \tabularnewline
17 & -0.0454 & -0.3487 & 0.364268 \tabularnewline
18 & -0.121256 & -0.9314 & 0.177726 \tabularnewline
19 & -0.020502 & -0.1575 & 0.437703 \tabularnewline
20 & -0.080006 & -0.6145 & 0.27061 \tabularnewline
21 & 0.009586 & 0.0736 & 0.470777 \tabularnewline
22 & -0.072981 & -0.5606 & 0.288604 \tabularnewline
23 & -0.034578 & -0.2656 & 0.395736 \tabularnewline
24 & -0.065541 & -0.5034 & 0.308268 \tabularnewline
25 & -0.116257 & -0.893 & 0.187746 \tabularnewline
26 & 0.119224 & 0.9158 & 0.181755 \tabularnewline
27 & 0.000685 & 0.0053 & 0.497911 \tabularnewline
28 & -0.160801 & -1.2351 & 0.110838 \tabularnewline
29 & 0.103021 & 0.7913 & 0.215963 \tabularnewline
30 & -0.054378 & -0.4177 & 0.338848 \tabularnewline
31 & 0.117282 & 0.9009 & 0.185663 \tabularnewline
32 & 0.046095 & 0.3541 & 0.362276 \tabularnewline
33 & -0.026853 & -0.2063 & 0.418648 \tabularnewline
34 & -0.086292 & -0.6628 & 0.255012 \tabularnewline
35 & 0.063553 & 0.4882 & 0.313623 \tabularnewline
36 & 0.005087 & 0.0391 & 0.484483 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59144&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]0.121866[/C][C]0.9361[/C][C]0.176526[/C][/ROW]
[ROW][C]2[/C][C]0.298802[/C][C]2.2951[/C][C]0.012649[/C][/ROW]
[ROW][C]3[/C][C]0.286654[/C][C]2.2018[/C][C]0.0158[/C][/ROW]
[ROW][C]4[/C][C]0.130335[/C][C]1.0011[/C][C]0.160428[/C][/ROW]
[ROW][C]5[/C][C]-0.083725[/C][C]-0.6431[/C][C]0.261323[/C][/ROW]
[ROW][C]6[/C][C]0.019042[/C][C]0.1463[/C][C]0.442105[/C][/ROW]
[ROW][C]7[/C][C]-0.009601[/C][C]-0.0737[/C][C]0.470732[/C][/ROW]
[ROW][C]8[/C][C]0.088504[/C][C]0.6798[/C][C]0.24964[/C][/ROW]
[ROW][C]9[/C][C]0.020045[/C][C]0.154[/C][C]0.439079[/C][/ROW]
[ROW][C]10[/C][C]-0.21896[/C][C]-1.6819[/C][C]0.048941[/C][/ROW]
[ROW][C]11[/C][C]0.317488[/C][C]2.4387[/C][C]0.008885[/C][/ROW]
[ROW][C]12[/C][C]-0.18785[/C][C]-1.4429[/C][C]0.077168[/C][/ROW]
[ROW][C]13[/C][C]-0.058581[/C][C]-0.45[/C][C]0.327189[/C][/ROW]
[ROW][C]14[/C][C]0.060993[/C][C]0.4685[/C][C]0.320578[/C][/ROW]
[ROW][C]15[/C][C]0.075046[/C][C]0.5764[/C][C]0.283256[/C][/ROW]
[ROW][C]16[/C][C]-0.017441[/C][C]-0.134[/C][C]0.446941[/C][/ROW]
[ROW][C]17[/C][C]-0.0454[/C][C]-0.3487[/C][C]0.364268[/C][/ROW]
[ROW][C]18[/C][C]-0.121256[/C][C]-0.9314[/C][C]0.177726[/C][/ROW]
[ROW][C]19[/C][C]-0.020502[/C][C]-0.1575[/C][C]0.437703[/C][/ROW]
[ROW][C]20[/C][C]-0.080006[/C][C]-0.6145[/C][C]0.27061[/C][/ROW]
[ROW][C]21[/C][C]0.009586[/C][C]0.0736[/C][C]0.470777[/C][/ROW]
[ROW][C]22[/C][C]-0.072981[/C][C]-0.5606[/C][C]0.288604[/C][/ROW]
[ROW][C]23[/C][C]-0.034578[/C][C]-0.2656[/C][C]0.395736[/C][/ROW]
[ROW][C]24[/C][C]-0.065541[/C][C]-0.5034[/C][C]0.308268[/C][/ROW]
[ROW][C]25[/C][C]-0.116257[/C][C]-0.893[/C][C]0.187746[/C][/ROW]
[ROW][C]26[/C][C]0.119224[/C][C]0.9158[/C][C]0.181755[/C][/ROW]
[ROW][C]27[/C][C]0.000685[/C][C]0.0053[/C][C]0.497911[/C][/ROW]
[ROW][C]28[/C][C]-0.160801[/C][C]-1.2351[/C][C]0.110838[/C][/ROW]
[ROW][C]29[/C][C]0.103021[/C][C]0.7913[/C][C]0.215963[/C][/ROW]
[ROW][C]30[/C][C]-0.054378[/C][C]-0.4177[/C][C]0.338848[/C][/ROW]
[ROW][C]31[/C][C]0.117282[/C][C]0.9009[/C][C]0.185663[/C][/ROW]
[ROW][C]32[/C][C]0.046095[/C][C]0.3541[/C][C]0.362276[/C][/ROW]
[ROW][C]33[/C][C]-0.026853[/C][C]-0.2063[/C][C]0.418648[/C][/ROW]
[ROW][C]34[/C][C]-0.086292[/C][C]-0.6628[/C][C]0.255012[/C][/ROW]
[ROW][C]35[/C][C]0.063553[/C][C]0.4882[/C][C]0.313623[/C][/ROW]
[ROW][C]36[/C][C]0.005087[/C][C]0.0391[/C][C]0.484483[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59144&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59144&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	0.121866	0.9361	0.176526
2	0.298802	2.2951	0.012649
3	0.286654	2.2018	0.0158
4	0.130335	1.0011	0.160428
5	-0.083725	-0.6431	0.261323
6	0.019042	0.1463	0.442105
7	-0.009601	-0.0737	0.470732
8	0.088504	0.6798	0.24964
9	0.020045	0.154	0.439079
10	-0.21896	-1.6819	0.048941
11	0.317488	2.4387	0.008885
12	-0.18785	-1.4429	0.077168
13	-0.058581	-0.45	0.327189
14	0.060993	0.4685	0.320578
15	0.075046	0.5764	0.283256
16	-0.017441	-0.134	0.446941
17	-0.0454	-0.3487	0.364268
18	-0.121256	-0.9314	0.177726
19	-0.020502	-0.1575	0.437703
20	-0.080006	-0.6145	0.27061
21	0.009586	0.0736	0.470777
22	-0.072981	-0.5606	0.288604
23	-0.034578	-0.2656	0.395736
24	-0.065541	-0.5034	0.308268
25	-0.116257	-0.893	0.187746
26	0.119224	0.9158	0.181755
27	0.000685	0.0053	0.497911
28	-0.160801	-1.2351	0.110838
29	0.103021	0.7913	0.215963
30	-0.054378	-0.4177	0.338848
31	0.117282	0.9009	0.185663
32	0.046095	0.3541	0.362276
33	-0.026853	-0.2063	0.418648
34	-0.086292	-0.6628	0.255012
35	0.063553	0.4882	0.313623
36	0.005087	0.0391	0.484483

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; 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