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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 18 Dec 2009 07:18:09 -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/18/t1261146254lbdwidgdf7m47dy.htm/, Retrieved Sat, 27 Apr 2024 10:02:23 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69367, Retrieved Sat, 27 Apr 2024 10:02:23 +0000

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IsPrivate?

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User-defined keywords

Estimated Impact

120

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] [d181e5359f7da6c8509e4702d1229fb0]
-   P                 [(Partial) Autocorrelation Function] [] [2009-12-18 14:18:09] [b4088cbf8335906ce53a9289ed6fac01] [Current]

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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=69367&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=69367&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69367&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	0.193798	1.3286	0.095195
2	-0.203546	-1.3954	0.084721
3	-0.268131	-1.8382	0.036177
4	-0.37054	-2.5403	0.00722
5	-0.115277	-0.7903	0.216662
6	-0.024388	-0.1672	0.433967
7	0.265553	1.8205	0.037524
8	0.330601	2.2665	0.014033
9	-0.077519	-0.5314	0.298807
10	0.001085	0.0074	0.497048
11	-0.039578	-0.2713	0.393661
12	-0.305457	-2.0941	0.020835
13	-0.023361	-0.1602	0.436722
14	0.073864	0.5064	0.307477
15	0.122856	0.8423	0.201955
16	0.075706	0.519	0.303094
17	-0.045755	-0.3137	0.377576
18	0.092634	0.6351	0.264233
19	-0.164667	-1.1289	0.132334
20	-0.092248	-0.6324	0.265088
21	0.128921	0.8838	0.190642
22	-0.027712	-0.19	0.425069
23	0.01115	0.0764	0.469695
24	0.008332	0.0571	0.477345
25	0.06948	0.4763	0.318024
26	0.065799	0.4511	0.326997
27	-0.099972	-0.6854	0.248238
28	-0.089342	-0.6125	0.271581
29	-0.063022	-0.4321	0.333838
30	-0.085689	-0.5875	0.279855
31	0.127118	0.8715	0.193963
32	0.143782	0.9857	0.164659
33	0.047925	0.3286	0.371975
34	0.032715	0.2243	0.411756
35	-0.126828	-0.8695	0.1945
36	-0.105034	-0.7201	0.237522

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.193798 & 1.3286 & 0.095195 \tabularnewline
2 & -0.203546 & -1.3954 & 0.084721 \tabularnewline
3 & -0.268131 & -1.8382 & 0.036177 \tabularnewline
4 & -0.37054 & -2.5403 & 0.00722 \tabularnewline
5 & -0.115277 & -0.7903 & 0.216662 \tabularnewline
6 & -0.024388 & -0.1672 & 0.433967 \tabularnewline
7 & 0.265553 & 1.8205 & 0.037524 \tabularnewline
8 & 0.330601 & 2.2665 & 0.014033 \tabularnewline
9 & -0.077519 & -0.5314 & 0.298807 \tabularnewline
10 & 0.001085 & 0.0074 & 0.497048 \tabularnewline
11 & -0.039578 & -0.2713 & 0.393661 \tabularnewline
12 & -0.305457 & -2.0941 & 0.020835 \tabularnewline
13 & -0.023361 & -0.1602 & 0.436722 \tabularnewline
14 & 0.073864 & 0.5064 & 0.307477 \tabularnewline
15 & 0.122856 & 0.8423 & 0.201955 \tabularnewline
16 & 0.075706 & 0.519 & 0.303094 \tabularnewline
17 & -0.045755 & -0.3137 & 0.377576 \tabularnewline
18 & 0.092634 & 0.6351 & 0.264233 \tabularnewline
19 & -0.164667 & -1.1289 & 0.132334 \tabularnewline
20 & -0.092248 & -0.6324 & 0.265088 \tabularnewline
21 & 0.128921 & 0.8838 & 0.190642 \tabularnewline
22 & -0.027712 & -0.19 & 0.425069 \tabularnewline
23 & 0.01115 & 0.0764 & 0.469695 \tabularnewline
24 & 0.008332 & 0.0571 & 0.477345 \tabularnewline
25 & 0.06948 & 0.4763 & 0.318024 \tabularnewline
26 & 0.065799 & 0.4511 & 0.326997 \tabularnewline
27 & -0.099972 & -0.6854 & 0.248238 \tabularnewline
28 & -0.089342 & -0.6125 & 0.271581 \tabularnewline
29 & -0.063022 & -0.4321 & 0.333838 \tabularnewline
30 & -0.085689 & -0.5875 & 0.279855 \tabularnewline
31 & 0.127118 & 0.8715 & 0.193963 \tabularnewline
32 & 0.143782 & 0.9857 & 0.164659 \tabularnewline
33 & 0.047925 & 0.3286 & 0.371975 \tabularnewline
34 & 0.032715 & 0.2243 & 0.411756 \tabularnewline
35 & -0.126828 & -0.8695 & 0.1945 \tabularnewline
36 & -0.105034 & -0.7201 & 0.237522 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69367&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]0.193798[/C][C]1.3286[/C][C]0.095195[/C][/ROW]
[ROW][C]2[/C][C]-0.203546[/C][C]-1.3954[/C][C]0.084721[/C][/ROW]
[ROW][C]3[/C][C]-0.268131[/C][C]-1.8382[/C][C]0.036177[/C][/ROW]
[ROW][C]4[/C][C]-0.37054[/C][C]-2.5403[/C][C]0.00722[/C][/ROW]
[ROW][C]5[/C][C]-0.115277[/C][C]-0.7903[/C][C]0.216662[/C][/ROW]
[ROW][C]6[/C][C]-0.024388[/C][C]-0.1672[/C][C]0.433967[/C][/ROW]
[ROW][C]7[/C][C]0.265553[/C][C]1.8205[/C][C]0.037524[/C][/ROW]
[ROW][C]8[/C][C]0.330601[/C][C]2.2665[/C][C]0.014033[/C][/ROW]
[ROW][C]9[/C][C]-0.077519[/C][C]-0.5314[/C][C]0.298807[/C][/ROW]
[ROW][C]10[/C][C]0.001085[/C][C]0.0074[/C][C]0.497048[/C][/ROW]
[ROW][C]11[/C][C]-0.039578[/C][C]-0.2713[/C][C]0.393661[/C][/ROW]
[ROW][C]12[/C][C]-0.305457[/C][C]-2.0941[/C][C]0.020835[/C][/ROW]
[ROW][C]13[/C][C]-0.023361[/C][C]-0.1602[/C][C]0.436722[/C][/ROW]
[ROW][C]14[/C][C]0.073864[/C][C]0.5064[/C][C]0.307477[/C][/ROW]
[ROW][C]15[/C][C]0.122856[/C][C]0.8423[/C][C]0.201955[/C][/ROW]
[ROW][C]16[/C][C]0.075706[/C][C]0.519[/C][C]0.303094[/C][/ROW]
[ROW][C]17[/C][C]-0.045755[/C][C]-0.3137[/C][C]0.377576[/C][/ROW]
[ROW][C]18[/C][C]0.092634[/C][C]0.6351[/C][C]0.264233[/C][/ROW]
[ROW][C]19[/C][C]-0.164667[/C][C]-1.1289[/C][C]0.132334[/C][/ROW]
[ROW][C]20[/C][C]-0.092248[/C][C]-0.6324[/C][C]0.265088[/C][/ROW]
[ROW][C]21[/C][C]0.128921[/C][C]0.8838[/C][C]0.190642[/C][/ROW]
[ROW][C]22[/C][C]-0.027712[/C][C]-0.19[/C][C]0.425069[/C][/ROW]
[ROW][C]23[/C][C]0.01115[/C][C]0.0764[/C][C]0.469695[/C][/ROW]
[ROW][C]24[/C][C]0.008332[/C][C]0.0571[/C][C]0.477345[/C][/ROW]
[ROW][C]25[/C][C]0.06948[/C][C]0.4763[/C][C]0.318024[/C][/ROW]
[ROW][C]26[/C][C]0.065799[/C][C]0.4511[/C][C]0.326997[/C][/ROW]
[ROW][C]27[/C][C]-0.099972[/C][C]-0.6854[/C][C]0.248238[/C][/ROW]
[ROW][C]28[/C][C]-0.089342[/C][C]-0.6125[/C][C]0.271581[/C][/ROW]
[ROW][C]29[/C][C]-0.063022[/C][C]-0.4321[/C][C]0.333838[/C][/ROW]
[ROW][C]30[/C][C]-0.085689[/C][C]-0.5875[/C][C]0.279855[/C][/ROW]
[ROW][C]31[/C][C]0.127118[/C][C]0.8715[/C][C]0.193963[/C][/ROW]
[ROW][C]32[/C][C]0.143782[/C][C]0.9857[/C][C]0.164659[/C][/ROW]
[ROW][C]33[/C][C]0.047925[/C][C]0.3286[/C][C]0.371975[/C][/ROW]
[ROW][C]34[/C][C]0.032715[/C][C]0.2243[/C][C]0.411756[/C][/ROW]
[ROW][C]35[/C][C]-0.126828[/C][C]-0.8695[/C][C]0.1945[/C][/ROW]
[ROW][C]36[/C][C]-0.105034[/C][C]-0.7201[/C][C]0.237522[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69367&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69367&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	0.193798	1.3286	0.095195
2	-0.203546	-1.3954	0.084721
3	-0.268131	-1.8382	0.036177
4	-0.37054	-2.5403	0.00722
5	-0.115277	-0.7903	0.216662
6	-0.024388	-0.1672	0.433967
7	0.265553	1.8205	0.037524
8	0.330601	2.2665	0.014033
9	-0.077519	-0.5314	0.298807
10	0.001085	0.0074	0.497048
11	-0.039578	-0.2713	0.393661
12	-0.305457	-2.0941	0.020835
13	-0.023361	-0.1602	0.436722
14	0.073864	0.5064	0.307477
15	0.122856	0.8423	0.201955
16	0.075706	0.519	0.303094
17	-0.045755	-0.3137	0.377576
18	0.092634	0.6351	0.264233
19	-0.164667	-1.1289	0.132334
20	-0.092248	-0.6324	0.265088
21	0.128921	0.8838	0.190642
22	-0.027712	-0.19	0.425069
23	0.01115	0.0764	0.469695
24	0.008332	0.0571	0.477345
25	0.06948	0.4763	0.318024
26	0.065799	0.4511	0.326997
27	-0.099972	-0.6854	0.248238
28	-0.089342	-0.6125	0.271581
29	-0.063022	-0.4321	0.333838
30	-0.085689	-0.5875	0.279855
31	0.127118	0.8715	0.193963
32	0.143782	0.9857	0.164659
33	0.047925	0.3286	0.371975
34	0.032715	0.2243	0.411756
35	-0.126828	-0.8695	0.1945
36	-0.105034	-0.7201	0.237522

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.193798	1.3286	0.095195
2	-0.250512	-1.7174	0.046242
3	-0.188743	-1.294	0.101002
4	-0.371694	-2.5482	0.007078
5	-0.127956	-0.8772	0.192413
6	-0.289471	-1.9845	0.026527
7	0.094929	0.6508	0.259172
8	0.048463	0.3322	0.370591
9	-0.203088	-1.3923	0.085192
10	0.149577	1.0254	0.1552
11	0.069492	0.4764	0.317994
12	-0.244454	-1.6759	0.0502
13	0.128118	0.8783	0.192115
14	0.010433	0.0715	0.471642
15	-0.075216	-0.5157	0.304256
16	-0.025883	-0.1774	0.429961
17	0.025292	0.1734	0.431543
18	-0.004715	-0.0323	0.487175
19	-0.150769	-1.0336	0.153302
20	0.161425	1.1067	0.137034
21	-0.034257	-0.2349	0.40767
22	-0.088579	-0.6073	0.273298
23	0.07656	0.5249	0.301071
24	-0.058359	-0.4001	0.345451
25	0.076577	0.525	0.30103
26	0.078783	0.5401	0.295835
27	0.027119	0.1859	0.426655
28	-0.206044	-1.4126	0.082186
29	-0.002253	-0.0154	0.493871
30	0.012874	0.0883	0.465023
31	-0.108982	-0.7471	0.229349
32	0.067504	0.4628	0.322827
33	0.018014	0.1235	0.45112
34	-0.028625	-0.1962	0.422633
35	-0.033405	-0.229	0.409926
36	0.009928	0.0681	0.473011

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.193798 & 1.3286 & 0.095195 \tabularnewline
2 & -0.250512 & -1.7174 & 0.046242 \tabularnewline
3 & -0.188743 & -1.294 & 0.101002 \tabularnewline
4 & -0.371694 & -2.5482 & 0.007078 \tabularnewline
5 & -0.127956 & -0.8772 & 0.192413 \tabularnewline
6 & -0.289471 & -1.9845 & 0.026527 \tabularnewline
7 & 0.094929 & 0.6508 & 0.259172 \tabularnewline
8 & 0.048463 & 0.3322 & 0.370591 \tabularnewline
9 & -0.203088 & -1.3923 & 0.085192 \tabularnewline
10 & 0.149577 & 1.0254 & 0.1552 \tabularnewline
11 & 0.069492 & 0.4764 & 0.317994 \tabularnewline
12 & -0.244454 & -1.6759 & 0.0502 \tabularnewline
13 & 0.128118 & 0.8783 & 0.192115 \tabularnewline
14 & 0.010433 & 0.0715 & 0.471642 \tabularnewline
15 & -0.075216 & -0.5157 & 0.304256 \tabularnewline
16 & -0.025883 & -0.1774 & 0.429961 \tabularnewline
17 & 0.025292 & 0.1734 & 0.431543 \tabularnewline
18 & -0.004715 & -0.0323 & 0.487175 \tabularnewline
19 & -0.150769 & -1.0336 & 0.153302 \tabularnewline
20 & 0.161425 & 1.1067 & 0.137034 \tabularnewline
21 & -0.034257 & -0.2349 & 0.40767 \tabularnewline
22 & -0.088579 & -0.6073 & 0.273298 \tabularnewline
23 & 0.07656 & 0.5249 & 0.301071 \tabularnewline
24 & -0.058359 & -0.4001 & 0.345451 \tabularnewline
25 & 0.076577 & 0.525 & 0.30103 \tabularnewline
26 & 0.078783 & 0.5401 & 0.295835 \tabularnewline
27 & 0.027119 & 0.1859 & 0.426655 \tabularnewline
28 & -0.206044 & -1.4126 & 0.082186 \tabularnewline
29 & -0.002253 & -0.0154 & 0.493871 \tabularnewline
30 & 0.012874 & 0.0883 & 0.465023 \tabularnewline
31 & -0.108982 & -0.7471 & 0.229349 \tabularnewline
32 & 0.067504 & 0.4628 & 0.322827 \tabularnewline
33 & 0.018014 & 0.1235 & 0.45112 \tabularnewline
34 & -0.028625 & -0.1962 & 0.422633 \tabularnewline
35 & -0.033405 & -0.229 & 0.409926 \tabularnewline
36 & 0.009928 & 0.0681 & 0.473011 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69367&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]0.193798[/C][C]1.3286[/C][C]0.095195[/C][/ROW]
[ROW][C]2[/C][C]-0.250512[/C][C]-1.7174[/C][C]0.046242[/C][/ROW]
[ROW][C]3[/C][C]-0.188743[/C][C]-1.294[/C][C]0.101002[/C][/ROW]
[ROW][C]4[/C][C]-0.371694[/C][C]-2.5482[/C][C]0.007078[/C][/ROW]
[ROW][C]5[/C][C]-0.127956[/C][C]-0.8772[/C][C]0.192413[/C][/ROW]
[ROW][C]6[/C][C]-0.289471[/C][C]-1.9845[/C][C]0.026527[/C][/ROW]
[ROW][C]7[/C][C]0.094929[/C][C]0.6508[/C][C]0.259172[/C][/ROW]
[ROW][C]8[/C][C]0.048463[/C][C]0.3322[/C][C]0.370591[/C][/ROW]
[ROW][C]9[/C][C]-0.203088[/C][C]-1.3923[/C][C]0.085192[/C][/ROW]
[ROW][C]10[/C][C]0.149577[/C][C]1.0254[/C][C]0.1552[/C][/ROW]
[ROW][C]11[/C][C]0.069492[/C][C]0.4764[/C][C]0.317994[/C][/ROW]
[ROW][C]12[/C][C]-0.244454[/C][C]-1.6759[/C][C]0.0502[/C][/ROW]
[ROW][C]13[/C][C]0.128118[/C][C]0.8783[/C][C]0.192115[/C][/ROW]
[ROW][C]14[/C][C]0.010433[/C][C]0.0715[/C][C]0.471642[/C][/ROW]
[ROW][C]15[/C][C]-0.075216[/C][C]-0.5157[/C][C]0.304256[/C][/ROW]
[ROW][C]16[/C][C]-0.025883[/C][C]-0.1774[/C][C]0.429961[/C][/ROW]
[ROW][C]17[/C][C]0.025292[/C][C]0.1734[/C][C]0.431543[/C][/ROW]
[ROW][C]18[/C][C]-0.004715[/C][C]-0.0323[/C][C]0.487175[/C][/ROW]
[ROW][C]19[/C][C]-0.150769[/C][C]-1.0336[/C][C]0.153302[/C][/ROW]
[ROW][C]20[/C][C]0.161425[/C][C]1.1067[/C][C]0.137034[/C][/ROW]
[ROW][C]21[/C][C]-0.034257[/C][C]-0.2349[/C][C]0.40767[/C][/ROW]
[ROW][C]22[/C][C]-0.088579[/C][C]-0.6073[/C][C]0.273298[/C][/ROW]
[ROW][C]23[/C][C]0.07656[/C][C]0.5249[/C][C]0.301071[/C][/ROW]
[ROW][C]24[/C][C]-0.058359[/C][C]-0.4001[/C][C]0.345451[/C][/ROW]
[ROW][C]25[/C][C]0.076577[/C][C]0.525[/C][C]0.30103[/C][/ROW]
[ROW][C]26[/C][C]0.078783[/C][C]0.5401[/C][C]0.295835[/C][/ROW]
[ROW][C]27[/C][C]0.027119[/C][C]0.1859[/C][C]0.426655[/C][/ROW]
[ROW][C]28[/C][C]-0.206044[/C][C]-1.4126[/C][C]0.082186[/C][/ROW]
[ROW][C]29[/C][C]-0.002253[/C][C]-0.0154[/C][C]0.493871[/C][/ROW]
[ROW][C]30[/C][C]0.012874[/C][C]0.0883[/C][C]0.465023[/C][/ROW]
[ROW][C]31[/C][C]-0.108982[/C][C]-0.7471[/C][C]0.229349[/C][/ROW]
[ROW][C]32[/C][C]0.067504[/C][C]0.4628[/C][C]0.322827[/C][/ROW]
[ROW][C]33[/C][C]0.018014[/C][C]0.1235[/C][C]0.45112[/C][/ROW]
[ROW][C]34[/C][C]-0.028625[/C][C]-0.1962[/C][C]0.422633[/C][/ROW]
[ROW][C]35[/C][C]-0.033405[/C][C]-0.229[/C][C]0.409926[/C][/ROW]
[ROW][C]36[/C][C]0.009928[/C][C]0.0681[/C][C]0.473011[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69367&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69367&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	0.193798	1.3286	0.095195
2	-0.250512	-1.7174	0.046242
3	-0.188743	-1.294	0.101002
4	-0.371694	-2.5482	0.007078
5	-0.127956	-0.8772	0.192413
6	-0.289471	-1.9845	0.026527
7	0.094929	0.6508	0.259172
8	0.048463	0.3322	0.370591
9	-0.203088	-1.3923	0.085192
10	0.149577	1.0254	0.1552
11	0.069492	0.4764	0.317994
12	-0.244454	-1.6759	0.0502
13	0.128118	0.8783	0.192115
14	0.010433	0.0715	0.471642
15	-0.075216	-0.5157	0.304256
16	-0.025883	-0.1774	0.429961
17	0.025292	0.1734	0.431543
18	-0.004715	-0.0323	0.487175
19	-0.150769	-1.0336	0.153302
20	0.161425	1.1067	0.137034
21	-0.034257	-0.2349	0.40767
22	-0.088579	-0.6073	0.273298
23	0.07656	0.5249	0.301071
24	-0.058359	-0.4001	0.345451
25	0.076577	0.525	0.30103
26	0.078783	0.5401	0.295835
27	0.027119	0.1859	0.426655
28	-0.206044	-1.4126	0.082186
29	-0.002253	-0.0154	0.493871
30	0.012874	0.0883	0.465023
31	-0.108982	-0.7471	0.229349
32	0.067504	0.4628	0.322827
33	0.018014	0.1235	0.45112
34	-0.028625	-0.1962	0.422633
35	-0.033405	-0.229	0.409926
36	0.009928	0.0681	0.473011

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 = 2 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 2 ; par4 = 2 ; 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