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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 04 Dec 2009 06:09:20 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/04/t1259932282krndm4xe3uasp24.htm/, Retrieved Sun, 28 Apr 2024 07:38:24 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63463, Retrieved Sun, 28 Apr 2024 07:38:24 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

110

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       [Standard Deviation-Mean Plot] [Identifying Integ...] [2009-11-22 12:50:05] [b98453cac15ba1066b407e146608df68]
-    D        [Standard Deviation-Mean Plot] [] [2009-11-26 10:43:35] [d181e5359f7da6c8509e4702d1229fb0]
- RMP           [(Partial) Autocorrelation Function] [] [2009-12-03 17:32:57] [d181e5359f7da6c8509e4702d1229fb0]
-   P               [(Partial) Autocorrelation Function] [] [2009-12-04 13:09:20] [b4088cbf8335906ce53a9289ed6fac01] [Current]
-   P                 [(Partial) Autocorrelation Function] [] [2009-12-18 14:18:09] [d181e5359f7da6c8509e4702d1229fb0] 

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Dataseries X:

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Histogram

Boxplots

8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.4
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.5
8.2
8.1
7.9
8.6
8.7
8.7
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.00
8.2
8.1
8.1
8.00
7.9
7.9
8.00
8.00
7.9
8.00
7.7
7.2
7.5
7.3
7.00
7.00
7.00
7.2
7.3
7.1
6.8
6.4
6.1
6.5
7.7
7.9
7.5
6.9
6.6
6.9
7.7
8.00
8.00
7.7
7.3
7.4
8.1
8.3
8.2

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=63463&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=63463&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63463&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	0.278552	2.1396	0.018267
2	-0.210316	-1.6155	0.055773
3	-0.465593	-3.5763	0.000352
4	-0.447296	-3.4357	0.000544
5	-0.051765	-0.3976	0.346174
6	0.188151	1.4452	0.076844
7	0.304139	2.3361	0.011451
8	0.211579	1.6252	0.054729
9	-0.130828	-1.0049	0.159523
10	-0.096428	-0.7407	0.230913
11	-0.043966	-0.3377	0.368391
12	-0.132791	-1.02	0.15595
13	0.013904	0.1068	0.457656
14	0.098083	0.7534	0.227106
15	0.074559	0.5727	0.284512
16	-0.000948	-0.0073	0.497107
17	-0.06075	-0.4666	0.321242
18	0.018408	0.1414	0.444019
19	-0.117931	-0.9058	0.184352
20	-0.002922	-0.0224	0.491083
21	0.145303	1.1161	0.134454
22	0.03618	0.2779	0.391028
23	-0.042786	-0.3286	0.371792
24	-0.129958	-0.9982	0.161123
25	-0.02245	-0.1724	0.431839
26	0.137439	1.0557	0.147707
27	0.065973	0.5067	0.307111
28	-0.002708	-0.0208	0.491739
29	-0.095696	-0.7351	0.232609
30	-0.204818	-1.5732	0.060506
31	0.058028	0.4457	0.328714
32	0.150106	1.153	0.126783
33	0.149084	1.1451	0.128388
34	0.079578	0.6112	0.271692
35	-0.177781	-1.3656	0.08863
36	-0.207152	-1.5912	0.058458

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.278552 & 2.1396 & 0.018267 \tabularnewline
2 & -0.210316 & -1.6155 & 0.055773 \tabularnewline
3 & -0.465593 & -3.5763 & 0.000352 \tabularnewline
4 & -0.447296 & -3.4357 & 0.000544 \tabularnewline
5 & -0.051765 & -0.3976 & 0.346174 \tabularnewline
6 & 0.188151 & 1.4452 & 0.076844 \tabularnewline
7 & 0.304139 & 2.3361 & 0.011451 \tabularnewline
8 & 0.211579 & 1.6252 & 0.054729 \tabularnewline
9 & -0.130828 & -1.0049 & 0.159523 \tabularnewline
10 & -0.096428 & -0.7407 & 0.230913 \tabularnewline
11 & -0.043966 & -0.3377 & 0.368391 \tabularnewline
12 & -0.132791 & -1.02 & 0.15595 \tabularnewline
13 & 0.013904 & 0.1068 & 0.457656 \tabularnewline
14 & 0.098083 & 0.7534 & 0.227106 \tabularnewline
15 & 0.074559 & 0.5727 & 0.284512 \tabularnewline
16 & -0.000948 & -0.0073 & 0.497107 \tabularnewline
17 & -0.06075 & -0.4666 & 0.321242 \tabularnewline
18 & 0.018408 & 0.1414 & 0.444019 \tabularnewline
19 & -0.117931 & -0.9058 & 0.184352 \tabularnewline
20 & -0.002922 & -0.0224 & 0.491083 \tabularnewline
21 & 0.145303 & 1.1161 & 0.134454 \tabularnewline
22 & 0.03618 & 0.2779 & 0.391028 \tabularnewline
23 & -0.042786 & -0.3286 & 0.371792 \tabularnewline
24 & -0.129958 & -0.9982 & 0.161123 \tabularnewline
25 & -0.02245 & -0.1724 & 0.431839 \tabularnewline
26 & 0.137439 & 1.0557 & 0.147707 \tabularnewline
27 & 0.065973 & 0.5067 & 0.307111 \tabularnewline
28 & -0.002708 & -0.0208 & 0.491739 \tabularnewline
29 & -0.095696 & -0.7351 & 0.232609 \tabularnewline
30 & -0.204818 & -1.5732 & 0.060506 \tabularnewline
31 & 0.058028 & 0.4457 & 0.328714 \tabularnewline
32 & 0.150106 & 1.153 & 0.126783 \tabularnewline
33 & 0.149084 & 1.1451 & 0.128388 \tabularnewline
34 & 0.079578 & 0.6112 & 0.271692 \tabularnewline
35 & -0.177781 & -1.3656 & 0.08863 \tabularnewline
36 & -0.207152 & -1.5912 & 0.058458 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63463&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]0.278552[/C][C]2.1396[/C][C]0.018267[/C][/ROW]
[ROW][C]2[/C][C]-0.210316[/C][C]-1.6155[/C][C]0.055773[/C][/ROW]
[ROW][C]3[/C][C]-0.465593[/C][C]-3.5763[/C][C]0.000352[/C][/ROW]
[ROW][C]4[/C][C]-0.447296[/C][C]-3.4357[/C][C]0.000544[/C][/ROW]
[ROW][C]5[/C][C]-0.051765[/C][C]-0.3976[/C][C]0.346174[/C][/ROW]
[ROW][C]6[/C][C]0.188151[/C][C]1.4452[/C][C]0.076844[/C][/ROW]
[ROW][C]7[/C][C]0.304139[/C][C]2.3361[/C][C]0.011451[/C][/ROW]
[ROW][C]8[/C][C]0.211579[/C][C]1.6252[/C][C]0.054729[/C][/ROW]
[ROW][C]9[/C][C]-0.130828[/C][C]-1.0049[/C][C]0.159523[/C][/ROW]
[ROW][C]10[/C][C]-0.096428[/C][C]-0.7407[/C][C]0.230913[/C][/ROW]
[ROW][C]11[/C][C]-0.043966[/C][C]-0.3377[/C][C]0.368391[/C][/ROW]
[ROW][C]12[/C][C]-0.132791[/C][C]-1.02[/C][C]0.15595[/C][/ROW]
[ROW][C]13[/C][C]0.013904[/C][C]0.1068[/C][C]0.457656[/C][/ROW]
[ROW][C]14[/C][C]0.098083[/C][C]0.7534[/C][C]0.227106[/C][/ROW]
[ROW][C]15[/C][C]0.074559[/C][C]0.5727[/C][C]0.284512[/C][/ROW]
[ROW][C]16[/C][C]-0.000948[/C][C]-0.0073[/C][C]0.497107[/C][/ROW]
[ROW][C]17[/C][C]-0.06075[/C][C]-0.4666[/C][C]0.321242[/C][/ROW]
[ROW][C]18[/C][C]0.018408[/C][C]0.1414[/C][C]0.444019[/C][/ROW]
[ROW][C]19[/C][C]-0.117931[/C][C]-0.9058[/C][C]0.184352[/C][/ROW]
[ROW][C]20[/C][C]-0.002922[/C][C]-0.0224[/C][C]0.491083[/C][/ROW]
[ROW][C]21[/C][C]0.145303[/C][C]1.1161[/C][C]0.134454[/C][/ROW]
[ROW][C]22[/C][C]0.03618[/C][C]0.2779[/C][C]0.391028[/C][/ROW]
[ROW][C]23[/C][C]-0.042786[/C][C]-0.3286[/C][C]0.371792[/C][/ROW]
[ROW][C]24[/C][C]-0.129958[/C][C]-0.9982[/C][C]0.161123[/C][/ROW]
[ROW][C]25[/C][C]-0.02245[/C][C]-0.1724[/C][C]0.431839[/C][/ROW]
[ROW][C]26[/C][C]0.137439[/C][C]1.0557[/C][C]0.147707[/C][/ROW]
[ROW][C]27[/C][C]0.065973[/C][C]0.5067[/C][C]0.307111[/C][/ROW]
[ROW][C]28[/C][C]-0.002708[/C][C]-0.0208[/C][C]0.491739[/C][/ROW]
[ROW][C]29[/C][C]-0.095696[/C][C]-0.7351[/C][C]0.232609[/C][/ROW]
[ROW][C]30[/C][C]-0.204818[/C][C]-1.5732[/C][C]0.060506[/C][/ROW]
[ROW][C]31[/C][C]0.058028[/C][C]0.4457[/C][C]0.328714[/C][/ROW]
[ROW][C]32[/C][C]0.150106[/C][C]1.153[/C][C]0.126783[/C][/ROW]
[ROW][C]33[/C][C]0.149084[/C][C]1.1451[/C][C]0.128388[/C][/ROW]
[ROW][C]34[/C][C]0.079578[/C][C]0.6112[/C][C]0.271692[/C][/ROW]
[ROW][C]35[/C][C]-0.177781[/C][C]-1.3656[/C][C]0.08863[/C][/ROW]
[ROW][C]36[/C][C]-0.207152[/C][C]-1.5912[/C][C]0.058458[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63463&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63463&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	0.278552	2.1396	0.018267
2	-0.210316	-1.6155	0.055773
3	-0.465593	-3.5763	0.000352
4	-0.447296	-3.4357	0.000544
5	-0.051765	-0.3976	0.346174
6	0.188151	1.4452	0.076844
7	0.304139	2.3361	0.011451
8	0.211579	1.6252	0.054729
9	-0.130828	-1.0049	0.159523
10	-0.096428	-0.7407	0.230913
11	-0.043966	-0.3377	0.368391
12	-0.132791	-1.02	0.15595
13	0.013904	0.1068	0.457656
14	0.098083	0.7534	0.227106
15	0.074559	0.5727	0.284512
16	-0.000948	-0.0073	0.497107
17	-0.06075	-0.4666	0.321242
18	0.018408	0.1414	0.444019
19	-0.117931	-0.9058	0.184352
20	-0.002922	-0.0224	0.491083
21	0.145303	1.1161	0.134454
22	0.03618	0.2779	0.391028
23	-0.042786	-0.3286	0.371792
24	-0.129958	-0.9982	0.161123
25	-0.02245	-0.1724	0.431839
26	0.137439	1.0557	0.147707
27	0.065973	0.5067	0.307111
28	-0.002708	-0.0208	0.491739
29	-0.095696	-0.7351	0.232609
30	-0.204818	-1.5732	0.060506
31	0.058028	0.4457	0.328714
32	0.150106	1.153	0.126783
33	0.149084	1.1451	0.128388
34	0.079578	0.6112	0.271692
35	-0.177781	-1.3656	0.08863
36	-0.207152	-1.5912	0.058458

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.278552	2.1396	0.018267
2	-0.312125	-2.3975	0.009846
3	-0.362479	-2.7843	0.0036
4	-0.368679	-2.8319	0.00316
5	-0.107399	-0.8249	0.206362
6	-0.183532	-1.4097	0.081934
7	-0.065135	-0.5003	0.309359
8	-0.037661	-0.2893	0.386689
9	-0.227022	-1.7438	0.043202
10	0.103751	0.7969	0.214345
11	0.083314	0.6399	0.262342
12	-0.193442	-1.4859	0.071321
13	0.015291	0.1175	0.45345
14	0.112355	0.863	0.195812
15	-0.040437	-0.3106	0.3786
16	-0.078729	-0.6047	0.27384
17	0.026505	0.2036	0.419688
18	0.045324	0.3481	0.364487
19	-0.226279	-1.7381	0.043707
20	0.109082	0.8379	0.202741
21	0.073191	0.5622	0.288058
22	-0.14231	-1.0931	0.139396
23	-0.010597	-0.0814	0.4677
24	-0.070308	-0.54	0.295598
25	-0.021958	-0.1687	0.433318
26	0.161725	1.2422	0.109532
27	0.030238	0.2323	0.408568
28	-0.207273	-1.5921	0.058354
29	0.011667	0.0896	0.464448
30	-0.005916	-0.0454	0.481955
31	-0.01273	-0.0978	0.461218
32	-0.036541	-0.2807	0.389971
33	0.097638	0.75	0.228125
34	0.034936	0.2684	0.394683
35	-0.12582	-0.9664	0.168884
36	-0.071036	-0.5456	0.293686

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.278552 & 2.1396 & 0.018267 \tabularnewline
2 & -0.312125 & -2.3975 & 0.009846 \tabularnewline
3 & -0.362479 & -2.7843 & 0.0036 \tabularnewline
4 & -0.368679 & -2.8319 & 0.00316 \tabularnewline
5 & -0.107399 & -0.8249 & 0.206362 \tabularnewline
6 & -0.183532 & -1.4097 & 0.081934 \tabularnewline
7 & -0.065135 & -0.5003 & 0.309359 \tabularnewline
8 & -0.037661 & -0.2893 & 0.386689 \tabularnewline
9 & -0.227022 & -1.7438 & 0.043202 \tabularnewline
10 & 0.103751 & 0.7969 & 0.214345 \tabularnewline
11 & 0.083314 & 0.6399 & 0.262342 \tabularnewline
12 & -0.193442 & -1.4859 & 0.071321 \tabularnewline
13 & 0.015291 & 0.1175 & 0.45345 \tabularnewline
14 & 0.112355 & 0.863 & 0.195812 \tabularnewline
15 & -0.040437 & -0.3106 & 0.3786 \tabularnewline
16 & -0.078729 & -0.6047 & 0.27384 \tabularnewline
17 & 0.026505 & 0.2036 & 0.419688 \tabularnewline
18 & 0.045324 & 0.3481 & 0.364487 \tabularnewline
19 & -0.226279 & -1.7381 & 0.043707 \tabularnewline
20 & 0.109082 & 0.8379 & 0.202741 \tabularnewline
21 & 0.073191 & 0.5622 & 0.288058 \tabularnewline
22 & -0.14231 & -1.0931 & 0.139396 \tabularnewline
23 & -0.010597 & -0.0814 & 0.4677 \tabularnewline
24 & -0.070308 & -0.54 & 0.295598 \tabularnewline
25 & -0.021958 & -0.1687 & 0.433318 \tabularnewline
26 & 0.161725 & 1.2422 & 0.109532 \tabularnewline
27 & 0.030238 & 0.2323 & 0.408568 \tabularnewline
28 & -0.207273 & -1.5921 & 0.058354 \tabularnewline
29 & 0.011667 & 0.0896 & 0.464448 \tabularnewline
30 & -0.005916 & -0.0454 & 0.481955 \tabularnewline
31 & -0.01273 & -0.0978 & 0.461218 \tabularnewline
32 & -0.036541 & -0.2807 & 0.389971 \tabularnewline
33 & 0.097638 & 0.75 & 0.228125 \tabularnewline
34 & 0.034936 & 0.2684 & 0.394683 \tabularnewline
35 & -0.12582 & -0.9664 & 0.168884 \tabularnewline
36 & -0.071036 & -0.5456 & 0.293686 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63463&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]0.278552[/C][C]2.1396[/C][C]0.018267[/C][/ROW]
[ROW][C]2[/C][C]-0.312125[/C][C]-2.3975[/C][C]0.009846[/C][/ROW]
[ROW][C]3[/C][C]-0.362479[/C][C]-2.7843[/C][C]0.0036[/C][/ROW]
[ROW][C]4[/C][C]-0.368679[/C][C]-2.8319[/C][C]0.00316[/C][/ROW]
[ROW][C]5[/C][C]-0.107399[/C][C]-0.8249[/C][C]0.206362[/C][/ROW]
[ROW][C]6[/C][C]-0.183532[/C][C]-1.4097[/C][C]0.081934[/C][/ROW]
[ROW][C]7[/C][C]-0.065135[/C][C]-0.5003[/C][C]0.309359[/C][/ROW]
[ROW][C]8[/C][C]-0.037661[/C][C]-0.2893[/C][C]0.386689[/C][/ROW]
[ROW][C]9[/C][C]-0.227022[/C][C]-1.7438[/C][C]0.043202[/C][/ROW]
[ROW][C]10[/C][C]0.103751[/C][C]0.7969[/C][C]0.214345[/C][/ROW]
[ROW][C]11[/C][C]0.083314[/C][C]0.6399[/C][C]0.262342[/C][/ROW]
[ROW][C]12[/C][C]-0.193442[/C][C]-1.4859[/C][C]0.071321[/C][/ROW]
[ROW][C]13[/C][C]0.015291[/C][C]0.1175[/C][C]0.45345[/C][/ROW]
[ROW][C]14[/C][C]0.112355[/C][C]0.863[/C][C]0.195812[/C][/ROW]
[ROW][C]15[/C][C]-0.040437[/C][C]-0.3106[/C][C]0.3786[/C][/ROW]
[ROW][C]16[/C][C]-0.078729[/C][C]-0.6047[/C][C]0.27384[/C][/ROW]
[ROW][C]17[/C][C]0.026505[/C][C]0.2036[/C][C]0.419688[/C][/ROW]
[ROW][C]18[/C][C]0.045324[/C][C]0.3481[/C][C]0.364487[/C][/ROW]
[ROW][C]19[/C][C]-0.226279[/C][C]-1.7381[/C][C]0.043707[/C][/ROW]
[ROW][C]20[/C][C]0.109082[/C][C]0.8379[/C][C]0.202741[/C][/ROW]
[ROW][C]21[/C][C]0.073191[/C][C]0.5622[/C][C]0.288058[/C][/ROW]
[ROW][C]22[/C][C]-0.14231[/C][C]-1.0931[/C][C]0.139396[/C][/ROW]
[ROW][C]23[/C][C]-0.010597[/C][C]-0.0814[/C][C]0.4677[/C][/ROW]
[ROW][C]24[/C][C]-0.070308[/C][C]-0.54[/C][C]0.295598[/C][/ROW]
[ROW][C]25[/C][C]-0.021958[/C][C]-0.1687[/C][C]0.433318[/C][/ROW]
[ROW][C]26[/C][C]0.161725[/C][C]1.2422[/C][C]0.109532[/C][/ROW]
[ROW][C]27[/C][C]0.030238[/C][C]0.2323[/C][C]0.408568[/C][/ROW]
[ROW][C]28[/C][C]-0.207273[/C][C]-1.5921[/C][C]0.058354[/C][/ROW]
[ROW][C]29[/C][C]0.011667[/C][C]0.0896[/C][C]0.464448[/C][/ROW]
[ROW][C]30[/C][C]-0.005916[/C][C]-0.0454[/C][C]0.481955[/C][/ROW]
[ROW][C]31[/C][C]-0.01273[/C][C]-0.0978[/C][C]0.461218[/C][/ROW]
[ROW][C]32[/C][C]-0.036541[/C][C]-0.2807[/C][C]0.389971[/C][/ROW]
[ROW][C]33[/C][C]0.097638[/C][C]0.75[/C][C]0.228125[/C][/ROW]
[ROW][C]34[/C][C]0.034936[/C][C]0.2684[/C][C]0.394683[/C][/ROW]
[ROW][C]35[/C][C]-0.12582[/C][C]-0.9664[/C][C]0.168884[/C][/ROW]
[ROW][C]36[/C][C]-0.071036[/C][C]-0.5456[/C][C]0.293686[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63463&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63463&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	0.278552	2.1396	0.018267
2	-0.312125	-2.3975	0.009846
3	-0.362479	-2.7843	0.0036
4	-0.368679	-2.8319	0.00316
5	-0.107399	-0.8249	0.206362
6	-0.183532	-1.4097	0.081934
7	-0.065135	-0.5003	0.309359
8	-0.037661	-0.2893	0.386689
9	-0.227022	-1.7438	0.043202
10	0.103751	0.7969	0.214345
11	0.083314	0.6399	0.262342
12	-0.193442	-1.4859	0.071321
13	0.015291	0.1175	0.45345
14	0.112355	0.863	0.195812
15	-0.040437	-0.3106	0.3786
16	-0.078729	-0.6047	0.27384
17	0.026505	0.2036	0.419688
18	0.045324	0.3481	0.364487
19	-0.226279	-1.7381	0.043707
20	0.109082	0.8379	0.202741
21	0.073191	0.5622	0.288058
22	-0.14231	-1.0931	0.139396
23	-0.010597	-0.0814	0.4677
24	-0.070308	-0.54	0.295598
25	-0.021958	-0.1687	0.433318
26	0.161725	1.2422	0.109532
27	0.030238	0.2323	0.408568
28	-0.207273	-1.5921	0.058354
29	0.011667	0.0896	0.464448
30	-0.005916	-0.0454	0.481955
31	-0.01273	-0.0978	0.461218
32	-0.036541	-0.2807	0.389971
33	0.097638	0.75	0.228125
34	0.034936	0.2684	0.394683
35	-0.12582	-0.9664	0.168884
36	-0.071036	-0.5456	0.293686

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 36 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 2 ; 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