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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 22 Dec 2008 05:31:57 -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/2008/Dec/22/t1229949208frgokgjkndg6l40.htm/, Retrieved Sun, 12 May 2024 17:11:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36021, Retrieved Sun, 12 May 2024 17:11:31 +0000

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User-defined keywords

Estimated Impact

179

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [(Partial) Autocorrelation Function] [(P)ACF werkloosheid] [2008-12-21 22:54:14] [7a4703cb85a198d9845d72899eff0288]
-   P   [(Partial) Autocorrelation Function] [(P)ACF werkloosheid] [2008-12-21 23:29:15] [7a4703cb85a198d9845d72899eff0288]
-   P     [(Partial) Autocorrelation Function] [(P)ACF werklooshe...] [2008-12-22 12:23:56] [7a4703cb85a198d9845d72899eff0288]
-   P         [(Partial) Autocorrelation Function] [(P)ACF Werklooshe...] [2008-12-22 12:31:57] [9f72e095d5529918bf5b0810c01bf6ce] [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	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=36021&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=36021&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36021&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	0.111161	0.5331	0.299535
2	-0.31016	-1.4875	0.075236
3	-0.377553	-1.8107	0.041637
4	0.147927	0.7094	0.242593
5	0.126672	0.6075	0.274736
6	-0.103466	-0.4962	0.312229
7	-0.063368	-0.3039	0.381967
8	0.058201	0.2791	0.391323
9	0.155408	0.7453	0.231817
10	-0.066145	-0.3172	0.376968
11	-0.169999	-0.8153	0.211635
12	-0.235006	-1.127	0.135672
13	0.130746	0.627	0.268405
14	0.205746	0.9867	0.167023
15	0.070437	0.3378	0.369287
16	-0.131229	-0.6294	0.26766
17	-0.000412	-0.002	0.49922
18	0.058379	0.28	0.390999
19	-0.010903	-0.0523	0.479374
20	-0.090726	-0.4351	0.33377
21	-0.017848	-0.0856	0.466264
22	0.01214	0.0582	0.477038
23	NA	NA	NA
24	NA	NA	NA
25	NA	NA	NA
26	NA	NA	NA
27	NA	NA	NA
28	NA	NA	NA
29	NA	NA	NA
30	NA	NA	NA
31	NA	NA	NA
32	NA	NA	NA
33	NA	NA	NA
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.111161 & 0.5331 & 0.299535 \tabularnewline
2 & -0.31016 & -1.4875 & 0.075236 \tabularnewline
3 & -0.377553 & -1.8107 & 0.041637 \tabularnewline
4 & 0.147927 & 0.7094 & 0.242593 \tabularnewline
5 & 0.126672 & 0.6075 & 0.274736 \tabularnewline
6 & -0.103466 & -0.4962 & 0.312229 \tabularnewline
7 & -0.063368 & -0.3039 & 0.381967 \tabularnewline
8 & 0.058201 & 0.2791 & 0.391323 \tabularnewline
9 & 0.155408 & 0.7453 & 0.231817 \tabularnewline
10 & -0.066145 & -0.3172 & 0.376968 \tabularnewline
11 & -0.169999 & -0.8153 & 0.211635 \tabularnewline
12 & -0.235006 & -1.127 & 0.135672 \tabularnewline
13 & 0.130746 & 0.627 & 0.268405 \tabularnewline
14 & 0.205746 & 0.9867 & 0.167023 \tabularnewline
15 & 0.070437 & 0.3378 & 0.369287 \tabularnewline
16 & -0.131229 & -0.6294 & 0.26766 \tabularnewline
17 & -0.000412 & -0.002 & 0.49922 \tabularnewline
18 & 0.058379 & 0.28 & 0.390999 \tabularnewline
19 & -0.010903 & -0.0523 & 0.479374 \tabularnewline
20 & -0.090726 & -0.4351 & 0.33377 \tabularnewline
21 & -0.017848 & -0.0856 & 0.466264 \tabularnewline
22 & 0.01214 & 0.0582 & 0.477038 \tabularnewline
23 & NA & NA & NA \tabularnewline
24 & NA & NA & NA \tabularnewline
25 & NA & NA & NA \tabularnewline
26 & NA & NA & NA \tabularnewline
27 & NA & NA & NA \tabularnewline
28 & NA & NA & NA \tabularnewline
29 & NA & NA & NA \tabularnewline
30 & NA & NA & NA \tabularnewline
31 & NA & NA & NA \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36021&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]0.111161[/C][C]0.5331[/C][C]0.299535[/C][/ROW]
[ROW][C]2[/C][C]-0.31016[/C][C]-1.4875[/C][C]0.075236[/C][/ROW]
[ROW][C]3[/C][C]-0.377553[/C][C]-1.8107[/C][C]0.041637[/C][/ROW]
[ROW][C]4[/C][C]0.147927[/C][C]0.7094[/C][C]0.242593[/C][/ROW]
[ROW][C]5[/C][C]0.126672[/C][C]0.6075[/C][C]0.274736[/C][/ROW]
[ROW][C]6[/C][C]-0.103466[/C][C]-0.4962[/C][C]0.312229[/C][/ROW]
[ROW][C]7[/C][C]-0.063368[/C][C]-0.3039[/C][C]0.381967[/C][/ROW]
[ROW][C]8[/C][C]0.058201[/C][C]0.2791[/C][C]0.391323[/C][/ROW]
[ROW][C]9[/C][C]0.155408[/C][C]0.7453[/C][C]0.231817[/C][/ROW]
[ROW][C]10[/C][C]-0.066145[/C][C]-0.3172[/C][C]0.376968[/C][/ROW]
[ROW][C]11[/C][C]-0.169999[/C][C]-0.8153[/C][C]0.211635[/C][/ROW]
[ROW][C]12[/C][C]-0.235006[/C][C]-1.127[/C][C]0.135672[/C][/ROW]
[ROW][C]13[/C][C]0.130746[/C][C]0.627[/C][C]0.268405[/C][/ROW]
[ROW][C]14[/C][C]0.205746[/C][C]0.9867[/C][C]0.167023[/C][/ROW]
[ROW][C]15[/C][C]0.070437[/C][C]0.3378[/C][C]0.369287[/C][/ROW]
[ROW][C]16[/C][C]-0.131229[/C][C]-0.6294[/C][C]0.26766[/C][/ROW]
[ROW][C]17[/C][C]-0.000412[/C][C]-0.002[/C][C]0.49922[/C][/ROW]
[ROW][C]18[/C][C]0.058379[/C][C]0.28[/C][C]0.390999[/C][/ROW]
[ROW][C]19[/C][C]-0.010903[/C][C]-0.0523[/C][C]0.479374[/C][/ROW]
[ROW][C]20[/C][C]-0.090726[/C][C]-0.4351[/C][C]0.33377[/C][/ROW]
[ROW][C]21[/C][C]-0.017848[/C][C]-0.0856[/C][C]0.466264[/C][/ROW]
[ROW][C]22[/C][C]0.01214[/C][C]0.0582[/C][C]0.477038[/C][/ROW]
[ROW][C]23[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]24[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]25[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]26[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]27[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]28[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]29[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]30[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]31[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36021&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36021&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	0.111161	0.5331	0.299535
2	-0.31016	-1.4875	0.075236
3	-0.377553	-1.8107	0.041637
4	0.147927	0.7094	0.242593
5	0.126672	0.6075	0.274736
6	-0.103466	-0.4962	0.312229
7	-0.063368	-0.3039	0.381967
8	0.058201	0.2791	0.391323
9	0.155408	0.7453	0.231817
10	-0.066145	-0.3172	0.376968
11	-0.169999	-0.8153	0.211635
12	-0.235006	-1.127	0.135672
13	0.130746	0.627	0.268405
14	0.205746	0.9867	0.167023
15	0.070437	0.3378	0.369287
16	-0.131229	-0.6294	0.26766
17	-0.000412	-0.002	0.49922
18	0.058379	0.28	0.390999
19	-0.010903	-0.0523	0.479374
20	-0.090726	-0.4351	0.33377
21	-0.017848	-0.0856	0.466264
22	0.01214	0.0582	0.477038
23	NA	NA	NA
24	NA	NA	NA
25	NA	NA	NA
26	NA	NA	NA
27	NA	NA	NA
28	NA	NA	NA
29	NA	NA	NA
30	NA	NA	NA
31	NA	NA	NA
32	NA	NA	NA
33	NA	NA	NA
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.111161	0.5331	0.299535
2	-0.326552	-1.5661	0.065492
3	-0.33493	-1.6063	0.060929
4	0.144986	0.6953	0.246908
5	-0.126915	-0.6087	0.274356
6	-0.202421	-0.9708	0.17088
7	0.09598	0.4603	0.32481
8	-0.042226	-0.2025	0.420649
9	0.04912	0.2356	0.407926
10	-0.021136	-0.1014	0.460069
11	-0.12879	-0.6177	0.271434
12	-0.261112	-1.2522	0.111532
13	0.070992	0.3405	0.368298
14	0.000963	0.0046	0.498177
15	-0.066132	-0.3172	0.376992
16	0.038989	0.187	0.426656
17	0.084322	0.4044	0.344829
18	-0.079264	-0.3801	0.353666
19	0.022895	0.1098	0.45676
20	0.013996	0.0671	0.473532
21	-0.052698	-0.2527	0.40136
22	-0.128309	-0.6154	0.272182
23	NA	NA	NA
24	NA	NA	NA
25	NA	NA	NA
26	NA	NA	NA
27	NA	NA	NA
28	NA	NA	NA
29	NA	NA	NA
30	NA	NA	NA
31	NA	NA	NA
32	NA	NA	NA
33	NA	NA	NA
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.111161 & 0.5331 & 0.299535 \tabularnewline
2 & -0.326552 & -1.5661 & 0.065492 \tabularnewline
3 & -0.33493 & -1.6063 & 0.060929 \tabularnewline
4 & 0.144986 & 0.6953 & 0.246908 \tabularnewline
5 & -0.126915 & -0.6087 & 0.274356 \tabularnewline
6 & -0.202421 & -0.9708 & 0.17088 \tabularnewline
7 & 0.09598 & 0.4603 & 0.32481 \tabularnewline
8 & -0.042226 & -0.2025 & 0.420649 \tabularnewline
9 & 0.04912 & 0.2356 & 0.407926 \tabularnewline
10 & -0.021136 & -0.1014 & 0.460069 \tabularnewline
11 & -0.12879 & -0.6177 & 0.271434 \tabularnewline
12 & -0.261112 & -1.2522 & 0.111532 \tabularnewline
13 & 0.070992 & 0.3405 & 0.368298 \tabularnewline
14 & 0.000963 & 0.0046 & 0.498177 \tabularnewline
15 & -0.066132 & -0.3172 & 0.376992 \tabularnewline
16 & 0.038989 & 0.187 & 0.426656 \tabularnewline
17 & 0.084322 & 0.4044 & 0.344829 \tabularnewline
18 & -0.079264 & -0.3801 & 0.353666 \tabularnewline
19 & 0.022895 & 0.1098 & 0.45676 \tabularnewline
20 & 0.013996 & 0.0671 & 0.473532 \tabularnewline
21 & -0.052698 & -0.2527 & 0.40136 \tabularnewline
22 & -0.128309 & -0.6154 & 0.272182 \tabularnewline
23 & NA & NA & NA \tabularnewline
24 & NA & NA & NA \tabularnewline
25 & NA & NA & NA \tabularnewline
26 & NA & NA & NA \tabularnewline
27 & NA & NA & NA \tabularnewline
28 & NA & NA & NA \tabularnewline
29 & NA & NA & NA \tabularnewline
30 & NA & NA & NA \tabularnewline
31 & NA & NA & NA \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36021&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]0.111161[/C][C]0.5331[/C][C]0.299535[/C][/ROW]
[ROW][C]2[/C][C]-0.326552[/C][C]-1.5661[/C][C]0.065492[/C][/ROW]
[ROW][C]3[/C][C]-0.33493[/C][C]-1.6063[/C][C]0.060929[/C][/ROW]
[ROW][C]4[/C][C]0.144986[/C][C]0.6953[/C][C]0.246908[/C][/ROW]
[ROW][C]5[/C][C]-0.126915[/C][C]-0.6087[/C][C]0.274356[/C][/ROW]
[ROW][C]6[/C][C]-0.202421[/C][C]-0.9708[/C][C]0.17088[/C][/ROW]
[ROW][C]7[/C][C]0.09598[/C][C]0.4603[/C][C]0.32481[/C][/ROW]
[ROW][C]8[/C][C]-0.042226[/C][C]-0.2025[/C][C]0.420649[/C][/ROW]
[ROW][C]9[/C][C]0.04912[/C][C]0.2356[/C][C]0.407926[/C][/ROW]
[ROW][C]10[/C][C]-0.021136[/C][C]-0.1014[/C][C]0.460069[/C][/ROW]
[ROW][C]11[/C][C]-0.12879[/C][C]-0.6177[/C][C]0.271434[/C][/ROW]
[ROW][C]12[/C][C]-0.261112[/C][C]-1.2522[/C][C]0.111532[/C][/ROW]
[ROW][C]13[/C][C]0.070992[/C][C]0.3405[/C][C]0.368298[/C][/ROW]
[ROW][C]14[/C][C]0.000963[/C][C]0.0046[/C][C]0.498177[/C][/ROW]
[ROW][C]15[/C][C]-0.066132[/C][C]-0.3172[/C][C]0.376992[/C][/ROW]
[ROW][C]16[/C][C]0.038989[/C][C]0.187[/C][C]0.426656[/C][/ROW]
[ROW][C]17[/C][C]0.084322[/C][C]0.4044[/C][C]0.344829[/C][/ROW]
[ROW][C]18[/C][C]-0.079264[/C][C]-0.3801[/C][C]0.353666[/C][/ROW]
[ROW][C]19[/C][C]0.022895[/C][C]0.1098[/C][C]0.45676[/C][/ROW]
[ROW][C]20[/C][C]0.013996[/C][C]0.0671[/C][C]0.473532[/C][/ROW]
[ROW][C]21[/C][C]-0.052698[/C][C]-0.2527[/C][C]0.40136[/C][/ROW]
[ROW][C]22[/C][C]-0.128309[/C][C]-0.6154[/C][C]0.272182[/C][/ROW]
[ROW][C]23[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]24[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]25[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]26[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]27[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]28[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]29[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]30[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]31[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36021&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36021&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	0.111161	0.5331	0.299535
2	-0.326552	-1.5661	0.065492
3	-0.33493	-1.6063	0.060929
4	0.144986	0.6953	0.246908
5	-0.126915	-0.6087	0.274356
6	-0.202421	-0.9708	0.17088
7	0.09598	0.4603	0.32481
8	-0.042226	-0.2025	0.420649
9	0.04912	0.2356	0.407926
10	-0.021136	-0.1014	0.460069
11	-0.12879	-0.6177	0.271434
12	-0.261112	-1.2522	0.111532
13	0.070992	0.3405	0.368298
14	0.000963	0.0046	0.498177
15	-0.066132	-0.3172	0.376992
16	0.038989	0.187	0.426656
17	0.084322	0.4044	0.344829
18	-0.079264	-0.3801	0.353666
19	0.022895	0.1098	0.45676
20	0.013996	0.0671	0.473532
21	-0.052698	-0.2527	0.40136
22	-0.128309	-0.6154	0.272182
23	NA	NA	NA
24	NA	NA	NA
25	NA	NA	NA
26	NA	NA	NA
27	NA	NA	NA
28	NA	NA	NA
29	NA	NA	NA
30	NA	NA	NA
31	NA	NA	NA
32	NA	NA	NA
33	NA	NA	NA
34	NA	NA	NA
35	NA	NA	NA
36	NA	NA	NA

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 ;

Parameters (R input):

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

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 (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='lags',ylab='ACF')
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