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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Mon, 08 Dec 2008 04:51:39 -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/2008/Dec/08/t1228737264mxaers1u4r105zl.htm/, Retrieved Thu, 16 May 2024 09:21:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30407, Retrieved Thu, 16 May 2024 09:21:27 +0000

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189

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-       [(Partial) Autocorrelation Function] [] [2008-12-08 11:51:39] [c60a842d48931bd392d024d8e9ef4583] [Current]

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Dataseries X:

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Boxplots

0.24
0.23
0.23
0.24
0.23
0.23
0.25
0.21
0.26
0.25
0.24
0.24
0.27
0.25
0.26
0.29
0.24
0.26
0.24
0.26
0.25
0.26
0.24
0.21
0.20
0.22
0.20
0.21
0.20
0.19
0.20
0.20
0.21
0.24
0.22
0.19
0.23
0.23
0.23
0.22
0.23
0.25
0.25
0.22
0.25
0.25
0.24
0.19
0.24
0.26
0.24
0.24
0.25
0.23
0.27
0.24
0.26
0.27
0.29
0.28
0.32
0.29
0.27
0.26
0.28
0.31
0.29
0.31
0.31
0.32
0.32
0.26
0.31
0.31
0.31
0.31
0.29
0.27
0.30
0.27
0.27
0.30
0.28
0.24
0.28
0.28
0.33
0.28
0.29
0.25
0.31
0.29
0.37
0.31
0.29
0.28
0.30
0.32
0.31
0.28
0.29
0.29
0.28
0.26
0.28
0.30
0.33
0.31
0.37
0.36
0.37
0.37
0.36
0.33
0.33
0.40
0.32
0.39
0.39
0.37
0.37
0.30
0.33
0.33
0.34
0.35
0.34
0.37
0.37
0.37
0.36
0.32
0.33
0.35
0.36
0.35
0.37
0.35
0.32
0.33
0.28
0.32
0.35
0.30
0.32
0.32
0.32
0.32
0.36
0.31
0.26
0.33
0.31
0.34
0.33
0.38
0.32
0.30
0.32
0.33
0.34
0.29
0.33
0.36
0.32
0.32
0.32
0.31
0.30
0.34
0.34
0.30
0.28
0.25
0.27
0.33
0.28
0.33
0.32
0.27
0.27
0.28
0.27
0.27
0.25
0.25
0.22
0.27

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=30407&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=30407&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30407&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	-0.412386	-5.6393	0
2	-0.006832	-0.0934	0.462835
3	-0.043975	-0.6013	0.27417
4	-0.012425	-0.1699	0.432634
5	-0.03224	-0.4409	0.329908
6	0.040837	0.5584	0.288605
7	0.03895	0.5326	0.297461
8	-0.021064	-0.2881	0.386813
9	0.013552	0.1853	0.426591
10	-0.023002	-0.3145	0.376728
11	-0.067536	-0.9235	0.178459
12	0.204279	2.7935	0.002879
13	-0.188263	-2.5745	0.005407
14	0.037161	0.5082	0.305969
15	-0.055722	-0.762	0.223515
16	0.05319	0.7274	0.233956
17	-0.082438	-1.1273	0.130526
18	0.122502	1.6752	0.047784
19	0.03711	0.5075	0.306211
20	-0.069415	-0.9492	0.171864
21	-0.009351	-0.1279	0.449193
22	0.032735	0.4476	0.327462
23	-0.078134	-1.0685	0.143344
24	0.122442	1.6744	0.047866
25	-0.054604	-0.7467	0.228091
26	-0.075018	-1.0259	0.153141
27	0.122471	1.6748	0.047826
28	-0.011899	-0.1627	0.435461
29	-0.043479	-0.5946	0.276427
30	0.033333	0.4558	0.324521
31	-0.075049	-1.0263	0.153043
32	-0.039804	-0.5443	0.293439
33	0.110745	1.5144	0.065805
34	0.007306	0.0999	0.460263
35	-0.23976	-3.2787	0.000622
36	0.287829	3.936	5.8e-05

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.412386 & -5.6393 & 0 \tabularnewline
2 & -0.006832 & -0.0934 & 0.462835 \tabularnewline
3 & -0.043975 & -0.6013 & 0.27417 \tabularnewline
4 & -0.012425 & -0.1699 & 0.432634 \tabularnewline
5 & -0.03224 & -0.4409 & 0.329908 \tabularnewline
6 & 0.040837 & 0.5584 & 0.288605 \tabularnewline
7 & 0.03895 & 0.5326 & 0.297461 \tabularnewline
8 & -0.021064 & -0.2881 & 0.386813 \tabularnewline
9 & 0.013552 & 0.1853 & 0.426591 \tabularnewline
10 & -0.023002 & -0.3145 & 0.376728 \tabularnewline
11 & -0.067536 & -0.9235 & 0.178459 \tabularnewline
12 & 0.204279 & 2.7935 & 0.002879 \tabularnewline
13 & -0.188263 & -2.5745 & 0.005407 \tabularnewline
14 & 0.037161 & 0.5082 & 0.305969 \tabularnewline
15 & -0.055722 & -0.762 & 0.223515 \tabularnewline
16 & 0.05319 & 0.7274 & 0.233956 \tabularnewline
17 & -0.082438 & -1.1273 & 0.130526 \tabularnewline
18 & 0.122502 & 1.6752 & 0.047784 \tabularnewline
19 & 0.03711 & 0.5075 & 0.306211 \tabularnewline
20 & -0.069415 & -0.9492 & 0.171864 \tabularnewline
21 & -0.009351 & -0.1279 & 0.449193 \tabularnewline
22 & 0.032735 & 0.4476 & 0.327462 \tabularnewline
23 & -0.078134 & -1.0685 & 0.143344 \tabularnewline
24 & 0.122442 & 1.6744 & 0.047866 \tabularnewline
25 & -0.054604 & -0.7467 & 0.228091 \tabularnewline
26 & -0.075018 & -1.0259 & 0.153141 \tabularnewline
27 & 0.122471 & 1.6748 & 0.047826 \tabularnewline
28 & -0.011899 & -0.1627 & 0.435461 \tabularnewline
29 & -0.043479 & -0.5946 & 0.276427 \tabularnewline
30 & 0.033333 & 0.4558 & 0.324521 \tabularnewline
31 & -0.075049 & -1.0263 & 0.153043 \tabularnewline
32 & -0.039804 & -0.5443 & 0.293439 \tabularnewline
33 & 0.110745 & 1.5144 & 0.065805 \tabularnewline
34 & 0.007306 & 0.0999 & 0.460263 \tabularnewline
35 & -0.23976 & -3.2787 & 0.000622 \tabularnewline
36 & 0.287829 & 3.936 & 5.8e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30407&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]-0.412386[/C][C]-5.6393[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.006832[/C][C]-0.0934[/C][C]0.462835[/C][/ROW]
[ROW][C]3[/C][C]-0.043975[/C][C]-0.6013[/C][C]0.27417[/C][/ROW]
[ROW][C]4[/C][C]-0.012425[/C][C]-0.1699[/C][C]0.432634[/C][/ROW]
[ROW][C]5[/C][C]-0.03224[/C][C]-0.4409[/C][C]0.329908[/C][/ROW]
[ROW][C]6[/C][C]0.040837[/C][C]0.5584[/C][C]0.288605[/C][/ROW]
[ROW][C]7[/C][C]0.03895[/C][C]0.5326[/C][C]0.297461[/C][/ROW]
[ROW][C]8[/C][C]-0.021064[/C][C]-0.2881[/C][C]0.386813[/C][/ROW]
[ROW][C]9[/C][C]0.013552[/C][C]0.1853[/C][C]0.426591[/C][/ROW]
[ROW][C]10[/C][C]-0.023002[/C][C]-0.3145[/C][C]0.376728[/C][/ROW]
[ROW][C]11[/C][C]-0.067536[/C][C]-0.9235[/C][C]0.178459[/C][/ROW]
[ROW][C]12[/C][C]0.204279[/C][C]2.7935[/C][C]0.002879[/C][/ROW]
[ROW][C]13[/C][C]-0.188263[/C][C]-2.5745[/C][C]0.005407[/C][/ROW]
[ROW][C]14[/C][C]0.037161[/C][C]0.5082[/C][C]0.305969[/C][/ROW]
[ROW][C]15[/C][C]-0.055722[/C][C]-0.762[/C][C]0.223515[/C][/ROW]
[ROW][C]16[/C][C]0.05319[/C][C]0.7274[/C][C]0.233956[/C][/ROW]
[ROW][C]17[/C][C]-0.082438[/C][C]-1.1273[/C][C]0.130526[/C][/ROW]
[ROW][C]18[/C][C]0.122502[/C][C]1.6752[/C][C]0.047784[/C][/ROW]
[ROW][C]19[/C][C]0.03711[/C][C]0.5075[/C][C]0.306211[/C][/ROW]
[ROW][C]20[/C][C]-0.069415[/C][C]-0.9492[/C][C]0.171864[/C][/ROW]
[ROW][C]21[/C][C]-0.009351[/C][C]-0.1279[/C][C]0.449193[/C][/ROW]
[ROW][C]22[/C][C]0.032735[/C][C]0.4476[/C][C]0.327462[/C][/ROW]
[ROW][C]23[/C][C]-0.078134[/C][C]-1.0685[/C][C]0.143344[/C][/ROW]
[ROW][C]24[/C][C]0.122442[/C][C]1.6744[/C][C]0.047866[/C][/ROW]
[ROW][C]25[/C][C]-0.054604[/C][C]-0.7467[/C][C]0.228091[/C][/ROW]
[ROW][C]26[/C][C]-0.075018[/C][C]-1.0259[/C][C]0.153141[/C][/ROW]
[ROW][C]27[/C][C]0.122471[/C][C]1.6748[/C][C]0.047826[/C][/ROW]
[ROW][C]28[/C][C]-0.011899[/C][C]-0.1627[/C][C]0.435461[/C][/ROW]
[ROW][C]29[/C][C]-0.043479[/C][C]-0.5946[/C][C]0.276427[/C][/ROW]
[ROW][C]30[/C][C]0.033333[/C][C]0.4558[/C][C]0.324521[/C][/ROW]
[ROW][C]31[/C][C]-0.075049[/C][C]-1.0263[/C][C]0.153043[/C][/ROW]
[ROW][C]32[/C][C]-0.039804[/C][C]-0.5443[/C][C]0.293439[/C][/ROW]
[ROW][C]33[/C][C]0.110745[/C][C]1.5144[/C][C]0.065805[/C][/ROW]
[ROW][C]34[/C][C]0.007306[/C][C]0.0999[/C][C]0.460263[/C][/ROW]
[ROW][C]35[/C][C]-0.23976[/C][C]-3.2787[/C][C]0.000622[/C][/ROW]
[ROW][C]36[/C][C]0.287829[/C][C]3.936[/C][C]5.8e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30407&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30407&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	-0.412386	-5.6393	0
2	-0.006832	-0.0934	0.462835
3	-0.043975	-0.6013	0.27417
4	-0.012425	-0.1699	0.432634
5	-0.03224	-0.4409	0.329908
6	0.040837	0.5584	0.288605
7	0.03895	0.5326	0.297461
8	-0.021064	-0.2881	0.386813
9	0.013552	0.1853	0.426591
10	-0.023002	-0.3145	0.376728
11	-0.067536	-0.9235	0.178459
12	0.204279	2.7935	0.002879
13	-0.188263	-2.5745	0.005407
14	0.037161	0.5082	0.305969
15	-0.055722	-0.762	0.223515
16	0.05319	0.7274	0.233956
17	-0.082438	-1.1273	0.130526
18	0.122502	1.6752	0.047784
19	0.03711	0.5075	0.306211
20	-0.069415	-0.9492	0.171864
21	-0.009351	-0.1279	0.449193
22	0.032735	0.4476	0.327462
23	-0.078134	-1.0685	0.143344
24	0.122442	1.6744	0.047866
25	-0.054604	-0.7467	0.228091
26	-0.075018	-1.0259	0.153141
27	0.122471	1.6748	0.047826
28	-0.011899	-0.1627	0.435461
29	-0.043479	-0.5946	0.276427
30	0.033333	0.4558	0.324521
31	-0.075049	-1.0263	0.153043
32	-0.039804	-0.5443	0.293439
33	0.110745	1.5144	0.065805
34	0.007306	0.0999	0.460263
35	-0.23976	-3.2787	0.000622
36	0.287829	3.936	5.8e-05

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.412386	-5.6393	0
2	-0.213141	-2.9147	0.001998
3	-0.170769	-2.3352	0.010296
4	-0.141052	-1.9289	0.027631
5	-0.151282	-2.0687	0.019973
6	-0.080997	-1.1076	0.134726
7	0.000556	0.0076	0.496972
8	-0.005934	-0.0811	0.467707
9	0.017442	0.2385	0.405872
10	-0.000351	-0.0048	0.49809
11	-0.091586	-1.2524	0.105991
12	0.173619	2.3742	0.0093
13	-0.040527	-0.5542	0.290053
14	-0.048085	-0.6575	0.255819
15	-0.109451	-1.4967	0.068077
16	-0.051797	-0.7083	0.239817
17	-0.137276	-1.8772	0.031023
18	-0.006033	-0.0825	0.467171
19	0.080742	1.1041	0.135478
20	0.02316	0.3167	0.37591
21	0.000643	0.0088	0.496498
22	0.072032	0.985	0.162942
23	-0.019424	-0.2656	0.395412
24	0.071775	0.9815	0.163804
25	0.055256	0.7556	0.225415
26	-0.112389	-1.5369	0.063004
27	0.06725	0.9196	0.179477
28	0.045409	0.621	0.26769
29	0.025429	0.3477	0.364214
30	-0.004127	-0.0564	0.477526
31	-0.104826	-1.4335	0.076695
32	-0.121765	-1.6651	0.048783
33	0.051842	0.7089	0.239625
34	0.052315	0.7154	0.237627
35	-0.273538	-3.7406	0.000122
36	0.045155	0.6175	0.268833

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.412386 & -5.6393 & 0 \tabularnewline
2 & -0.213141 & -2.9147 & 0.001998 \tabularnewline
3 & -0.170769 & -2.3352 & 0.010296 \tabularnewline
4 & -0.141052 & -1.9289 & 0.027631 \tabularnewline
5 & -0.151282 & -2.0687 & 0.019973 \tabularnewline
6 & -0.080997 & -1.1076 & 0.134726 \tabularnewline
7 & 0.000556 & 0.0076 & 0.496972 \tabularnewline
8 & -0.005934 & -0.0811 & 0.467707 \tabularnewline
9 & 0.017442 & 0.2385 & 0.405872 \tabularnewline
10 & -0.000351 & -0.0048 & 0.49809 \tabularnewline
11 & -0.091586 & -1.2524 & 0.105991 \tabularnewline
12 & 0.173619 & 2.3742 & 0.0093 \tabularnewline
13 & -0.040527 & -0.5542 & 0.290053 \tabularnewline
14 & -0.048085 & -0.6575 & 0.255819 \tabularnewline
15 & -0.109451 & -1.4967 & 0.068077 \tabularnewline
16 & -0.051797 & -0.7083 & 0.239817 \tabularnewline
17 & -0.137276 & -1.8772 & 0.031023 \tabularnewline
18 & -0.006033 & -0.0825 & 0.467171 \tabularnewline
19 & 0.080742 & 1.1041 & 0.135478 \tabularnewline
20 & 0.02316 & 0.3167 & 0.37591 \tabularnewline
21 & 0.000643 & 0.0088 & 0.496498 \tabularnewline
22 & 0.072032 & 0.985 & 0.162942 \tabularnewline
23 & -0.019424 & -0.2656 & 0.395412 \tabularnewline
24 & 0.071775 & 0.9815 & 0.163804 \tabularnewline
25 & 0.055256 & 0.7556 & 0.225415 \tabularnewline
26 & -0.112389 & -1.5369 & 0.063004 \tabularnewline
27 & 0.06725 & 0.9196 & 0.179477 \tabularnewline
28 & 0.045409 & 0.621 & 0.26769 \tabularnewline
29 & 0.025429 & 0.3477 & 0.364214 \tabularnewline
30 & -0.004127 & -0.0564 & 0.477526 \tabularnewline
31 & -0.104826 & -1.4335 & 0.076695 \tabularnewline
32 & -0.121765 & -1.6651 & 0.048783 \tabularnewline
33 & 0.051842 & 0.7089 & 0.239625 \tabularnewline
34 & 0.052315 & 0.7154 & 0.237627 \tabularnewline
35 & -0.273538 & -3.7406 & 0.000122 \tabularnewline
36 & 0.045155 & 0.6175 & 0.268833 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30407&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]-0.412386[/C][C]-5.6393[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.213141[/C][C]-2.9147[/C][C]0.001998[/C][/ROW]
[ROW][C]3[/C][C]-0.170769[/C][C]-2.3352[/C][C]0.010296[/C][/ROW]
[ROW][C]4[/C][C]-0.141052[/C][C]-1.9289[/C][C]0.027631[/C][/ROW]
[ROW][C]5[/C][C]-0.151282[/C][C]-2.0687[/C][C]0.019973[/C][/ROW]
[ROW][C]6[/C][C]-0.080997[/C][C]-1.1076[/C][C]0.134726[/C][/ROW]
[ROW][C]7[/C][C]0.000556[/C][C]0.0076[/C][C]0.496972[/C][/ROW]
[ROW][C]8[/C][C]-0.005934[/C][C]-0.0811[/C][C]0.467707[/C][/ROW]
[ROW][C]9[/C][C]0.017442[/C][C]0.2385[/C][C]0.405872[/C][/ROW]
[ROW][C]10[/C][C]-0.000351[/C][C]-0.0048[/C][C]0.49809[/C][/ROW]
[ROW][C]11[/C][C]-0.091586[/C][C]-1.2524[/C][C]0.105991[/C][/ROW]
[ROW][C]12[/C][C]0.173619[/C][C]2.3742[/C][C]0.0093[/C][/ROW]
[ROW][C]13[/C][C]-0.040527[/C][C]-0.5542[/C][C]0.290053[/C][/ROW]
[ROW][C]14[/C][C]-0.048085[/C][C]-0.6575[/C][C]0.255819[/C][/ROW]
[ROW][C]15[/C][C]-0.109451[/C][C]-1.4967[/C][C]0.068077[/C][/ROW]
[ROW][C]16[/C][C]-0.051797[/C][C]-0.7083[/C][C]0.239817[/C][/ROW]
[ROW][C]17[/C][C]-0.137276[/C][C]-1.8772[/C][C]0.031023[/C][/ROW]
[ROW][C]18[/C][C]-0.006033[/C][C]-0.0825[/C][C]0.467171[/C][/ROW]
[ROW][C]19[/C][C]0.080742[/C][C]1.1041[/C][C]0.135478[/C][/ROW]
[ROW][C]20[/C][C]0.02316[/C][C]0.3167[/C][C]0.37591[/C][/ROW]
[ROW][C]21[/C][C]0.000643[/C][C]0.0088[/C][C]0.496498[/C][/ROW]
[ROW][C]22[/C][C]0.072032[/C][C]0.985[/C][C]0.162942[/C][/ROW]
[ROW][C]23[/C][C]-0.019424[/C][C]-0.2656[/C][C]0.395412[/C][/ROW]
[ROW][C]24[/C][C]0.071775[/C][C]0.9815[/C][C]0.163804[/C][/ROW]
[ROW][C]25[/C][C]0.055256[/C][C]0.7556[/C][C]0.225415[/C][/ROW]
[ROW][C]26[/C][C]-0.112389[/C][C]-1.5369[/C][C]0.063004[/C][/ROW]
[ROW][C]27[/C][C]0.06725[/C][C]0.9196[/C][C]0.179477[/C][/ROW]
[ROW][C]28[/C][C]0.045409[/C][C]0.621[/C][C]0.26769[/C][/ROW]
[ROW][C]29[/C][C]0.025429[/C][C]0.3477[/C][C]0.364214[/C][/ROW]
[ROW][C]30[/C][C]-0.004127[/C][C]-0.0564[/C][C]0.477526[/C][/ROW]
[ROW][C]31[/C][C]-0.104826[/C][C]-1.4335[/C][C]0.076695[/C][/ROW]
[ROW][C]32[/C][C]-0.121765[/C][C]-1.6651[/C][C]0.048783[/C][/ROW]
[ROW][C]33[/C][C]0.051842[/C][C]0.7089[/C][C]0.239625[/C][/ROW]
[ROW][C]34[/C][C]0.052315[/C][C]0.7154[/C][C]0.237627[/C][/ROW]
[ROW][C]35[/C][C]-0.273538[/C][C]-3.7406[/C][C]0.000122[/C][/ROW]
[ROW][C]36[/C][C]0.045155[/C][C]0.6175[/C][C]0.268833[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30407&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30407&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	-0.412386	-5.6393	0
2	-0.213141	-2.9147	0.001998
3	-0.170769	-2.3352	0.010296
4	-0.141052	-1.9289	0.027631
5	-0.151282	-2.0687	0.019973
6	-0.080997	-1.1076	0.134726
7	0.000556	0.0076	0.496972
8	-0.005934	-0.0811	0.467707
9	0.017442	0.2385	0.405872
10	-0.000351	-0.0048	0.49809
11	-0.091586	-1.2524	0.105991
12	0.173619	2.3742	0.0093
13	-0.040527	-0.5542	0.290053
14	-0.048085	-0.6575	0.255819
15	-0.109451	-1.4967	0.068077
16	-0.051797	-0.7083	0.239817
17	-0.137276	-1.8772	0.031023
18	-0.006033	-0.0825	0.467171
19	0.080742	1.1041	0.135478
20	0.02316	0.3167	0.37591
21	0.000643	0.0088	0.496498
22	0.072032	0.985	0.162942
23	-0.019424	-0.2656	0.395412
24	0.071775	0.9815	0.163804
25	0.055256	0.7556	0.225415
26	-0.112389	-1.5369	0.063004
27	0.06725	0.9196	0.179477
28	0.045409	0.621	0.26769
29	0.025429	0.3477	0.364214
30	-0.004127	-0.0564	0.477526
31	-0.104826	-1.4335	0.076695
32	-0.121765	-1.6651	0.048783
33	0.051842	0.7089	0.239625
34	0.052315	0.7154	0.237627
35	-0.273538	-3.7406	0.000122
36	0.045155	0.6175	0.268833

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 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; 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