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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 14 Dec 2007 02:07:38 -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/2007/Dec/14/t1197622584dvbouo702hdnhke.htm/, Retrieved Fri, 03 May 2024 03:01:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3766, Retrieved Fri, 03 May 2024 03:01:00 +0000

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s0650948

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200

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-       [(Partial) Autocorrelation Function] [autocorrelatie fu...] [2007-12-14 09:07:38] [372f82c86cdcc50abc807b137b6a3bca] [Current]

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Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3766&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3766&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3766&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	7.746	0
1	0.13761	1.0659	0.145365
2	0.045184	0.35	0.363786
3	0.254521	1.9715	0.026641
4	-0.01693	-0.1311	0.551948
5	0.114161	0.8843	0.190037
6	0.143362	1.1105	0.135612
7	-0.143919	-1.1148	0.865308
8	0.150177	1.1633	0.124664
9	0.20111	1.5578	0.062271
10	-0.166487	-1.2896	0.898931
11	-0.029221	-0.2263	0.589148
12	-0.200332	-1.5518	0.937012
13	-0.231195	-1.7908	0.960817
14	0.087516	0.6779	0.250222
15	-0.128368	-0.9943	0.837972
16	-0.133917	-1.0373	0.848124
17	0.216521	1.6772	0.049356
18	-0.09325	-0.7223	0.763545
19	-0.163407	-1.2657	0.894751
20	-0.044491	-0.3446	0.63421
21	-0.136736	-1.0592	0.853112
22	-0.124903	-0.9675	0.83141
23	0.045556	0.3529	0.362708
24	-0.245983	-1.9054	0.969237
25	-0.141716	-1.0977	0.861646
26	-0.014446	-0.1119	0.544362
27	-0.122743	-0.9508	0.82723
28	-0.101245	-0.7842	0.782007
29	-0.086765	-0.6721	0.747944
30	-0.128862	-0.9982	0.838895
31	0.002054	0.0159	0.49368
32	0.032346	0.2506	0.401509
33	-0.090532	-0.7013	0.757074
34	0.04506	0.349	0.364142
35	0.049929	0.3867	0.350157
36	0.014518	0.1125	0.455419
37	0.167359	1.2964	0.099908
38	0.073777	0.5715	0.284905
39	0.013244	0.1026	0.459316
40	0.129532	1.0034	0.15986
41	0.018494	0.1433	0.443286
42	0.069218	0.5362	0.296916
43	0.058948	0.4566	0.324801
44	0.016972	0.1315	0.447923
45	0.017977	0.1393	0.444859
46	0.064595	0.5004	0.309329
47	-0.022941	-0.1777	0.570222

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.13761 & 1.0659 & 0.145365 \tabularnewline
2 & 0.045184 & 0.35 & 0.363786 \tabularnewline
3 & 0.254521 & 1.9715 & 0.026641 \tabularnewline
4 & -0.01693 & -0.1311 & 0.551948 \tabularnewline
5 & 0.114161 & 0.8843 & 0.190037 \tabularnewline
6 & 0.143362 & 1.1105 & 0.135612 \tabularnewline
7 & -0.143919 & -1.1148 & 0.865308 \tabularnewline
8 & 0.150177 & 1.1633 & 0.124664 \tabularnewline
9 & 0.20111 & 1.5578 & 0.062271 \tabularnewline
10 & -0.166487 & -1.2896 & 0.898931 \tabularnewline
11 & -0.029221 & -0.2263 & 0.589148 \tabularnewline
12 & -0.200332 & -1.5518 & 0.937012 \tabularnewline
13 & -0.231195 & -1.7908 & 0.960817 \tabularnewline
14 & 0.087516 & 0.6779 & 0.250222 \tabularnewline
15 & -0.128368 & -0.9943 & 0.837972 \tabularnewline
16 & -0.133917 & -1.0373 & 0.848124 \tabularnewline
17 & 0.216521 & 1.6772 & 0.049356 \tabularnewline
18 & -0.09325 & -0.7223 & 0.763545 \tabularnewline
19 & -0.163407 & -1.2657 & 0.894751 \tabularnewline
20 & -0.044491 & -0.3446 & 0.63421 \tabularnewline
21 & -0.136736 & -1.0592 & 0.853112 \tabularnewline
22 & -0.124903 & -0.9675 & 0.83141 \tabularnewline
23 & 0.045556 & 0.3529 & 0.362708 \tabularnewline
24 & -0.245983 & -1.9054 & 0.969237 \tabularnewline
25 & -0.141716 & -1.0977 & 0.861646 \tabularnewline
26 & -0.014446 & -0.1119 & 0.544362 \tabularnewline
27 & -0.122743 & -0.9508 & 0.82723 \tabularnewline
28 & -0.101245 & -0.7842 & 0.782007 \tabularnewline
29 & -0.086765 & -0.6721 & 0.747944 \tabularnewline
30 & -0.128862 & -0.9982 & 0.838895 \tabularnewline
31 & 0.002054 & 0.0159 & 0.49368 \tabularnewline
32 & 0.032346 & 0.2506 & 0.401509 \tabularnewline
33 & -0.090532 & -0.7013 & 0.757074 \tabularnewline
34 & 0.04506 & 0.349 & 0.364142 \tabularnewline
35 & 0.049929 & 0.3867 & 0.350157 \tabularnewline
36 & 0.014518 & 0.1125 & 0.455419 \tabularnewline
37 & 0.167359 & 1.2964 & 0.099908 \tabularnewline
38 & 0.073777 & 0.5715 & 0.284905 \tabularnewline
39 & 0.013244 & 0.1026 & 0.459316 \tabularnewline
40 & 0.129532 & 1.0034 & 0.15986 \tabularnewline
41 & 0.018494 & 0.1433 & 0.443286 \tabularnewline
42 & 0.069218 & 0.5362 & 0.296916 \tabularnewline
43 & 0.058948 & 0.4566 & 0.324801 \tabularnewline
44 & 0.016972 & 0.1315 & 0.447923 \tabularnewline
45 & 0.017977 & 0.1393 & 0.444859 \tabularnewline
46 & 0.064595 & 0.5004 & 0.309329 \tabularnewline
47 & -0.022941 & -0.1777 & 0.570222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3766&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.13761[/C][C]1.0659[/C][C]0.145365[/C][/ROW]
[ROW][C]2[/C][C]0.045184[/C][C]0.35[/C][C]0.363786[/C][/ROW]
[ROW][C]3[/C][C]0.254521[/C][C]1.9715[/C][C]0.026641[/C][/ROW]
[ROW][C]4[/C][C]-0.01693[/C][C]-0.1311[/C][C]0.551948[/C][/ROW]
[ROW][C]5[/C][C]0.114161[/C][C]0.8843[/C][C]0.190037[/C][/ROW]
[ROW][C]6[/C][C]0.143362[/C][C]1.1105[/C][C]0.135612[/C][/ROW]
[ROW][C]7[/C][C]-0.143919[/C][C]-1.1148[/C][C]0.865308[/C][/ROW]
[ROW][C]8[/C][C]0.150177[/C][C]1.1633[/C][C]0.124664[/C][/ROW]
[ROW][C]9[/C][C]0.20111[/C][C]1.5578[/C][C]0.062271[/C][/ROW]
[ROW][C]10[/C][C]-0.166487[/C][C]-1.2896[/C][C]0.898931[/C][/ROW]
[ROW][C]11[/C][C]-0.029221[/C][C]-0.2263[/C][C]0.589148[/C][/ROW]
[ROW][C]12[/C][C]-0.200332[/C][C]-1.5518[/C][C]0.937012[/C][/ROW]
[ROW][C]13[/C][C]-0.231195[/C][C]-1.7908[/C][C]0.960817[/C][/ROW]
[ROW][C]14[/C][C]0.087516[/C][C]0.6779[/C][C]0.250222[/C][/ROW]
[ROW][C]15[/C][C]-0.128368[/C][C]-0.9943[/C][C]0.837972[/C][/ROW]
[ROW][C]16[/C][C]-0.133917[/C][C]-1.0373[/C][C]0.848124[/C][/ROW]
[ROW][C]17[/C][C]0.216521[/C][C]1.6772[/C][C]0.049356[/C][/ROW]
[ROW][C]18[/C][C]-0.09325[/C][C]-0.7223[/C][C]0.763545[/C][/ROW]
[ROW][C]19[/C][C]-0.163407[/C][C]-1.2657[/C][C]0.894751[/C][/ROW]
[ROW][C]20[/C][C]-0.044491[/C][C]-0.3446[/C][C]0.63421[/C][/ROW]
[ROW][C]21[/C][C]-0.136736[/C][C]-1.0592[/C][C]0.853112[/C][/ROW]
[ROW][C]22[/C][C]-0.124903[/C][C]-0.9675[/C][C]0.83141[/C][/ROW]
[ROW][C]23[/C][C]0.045556[/C][C]0.3529[/C][C]0.362708[/C][/ROW]
[ROW][C]24[/C][C]-0.245983[/C][C]-1.9054[/C][C]0.969237[/C][/ROW]
[ROW][C]25[/C][C]-0.141716[/C][C]-1.0977[/C][C]0.861646[/C][/ROW]
[ROW][C]26[/C][C]-0.014446[/C][C]-0.1119[/C][C]0.544362[/C][/ROW]
[ROW][C]27[/C][C]-0.122743[/C][C]-0.9508[/C][C]0.82723[/C][/ROW]
[ROW][C]28[/C][C]-0.101245[/C][C]-0.7842[/C][C]0.782007[/C][/ROW]
[ROW][C]29[/C][C]-0.086765[/C][C]-0.6721[/C][C]0.747944[/C][/ROW]
[ROW][C]30[/C][C]-0.128862[/C][C]-0.9982[/C][C]0.838895[/C][/ROW]
[ROW][C]31[/C][C]0.002054[/C][C]0.0159[/C][C]0.49368[/C][/ROW]
[ROW][C]32[/C][C]0.032346[/C][C]0.2506[/C][C]0.401509[/C][/ROW]
[ROW][C]33[/C][C]-0.090532[/C][C]-0.7013[/C][C]0.757074[/C][/ROW]
[ROW][C]34[/C][C]0.04506[/C][C]0.349[/C][C]0.364142[/C][/ROW]
[ROW][C]35[/C][C]0.049929[/C][C]0.3867[/C][C]0.350157[/C][/ROW]
[ROW][C]36[/C][C]0.014518[/C][C]0.1125[/C][C]0.455419[/C][/ROW]
[ROW][C]37[/C][C]0.167359[/C][C]1.2964[/C][C]0.099908[/C][/ROW]
[ROW][C]38[/C][C]0.073777[/C][C]0.5715[/C][C]0.284905[/C][/ROW]
[ROW][C]39[/C][C]0.013244[/C][C]0.1026[/C][C]0.459316[/C][/ROW]
[ROW][C]40[/C][C]0.129532[/C][C]1.0034[/C][C]0.15986[/C][/ROW]
[ROW][C]41[/C][C]0.018494[/C][C]0.1433[/C][C]0.443286[/C][/ROW]
[ROW][C]42[/C][C]0.069218[/C][C]0.5362[/C][C]0.296916[/C][/ROW]
[ROW][C]43[/C][C]0.058948[/C][C]0.4566[/C][C]0.324801[/C][/ROW]
[ROW][C]44[/C][C]0.016972[/C][C]0.1315[/C][C]0.447923[/C][/ROW]
[ROW][C]45[/C][C]0.017977[/C][C]0.1393[/C][C]0.444859[/C][/ROW]
[ROW][C]46[/C][C]0.064595[/C][C]0.5004[/C][C]0.309329[/C][/ROW]
[ROW][C]47[/C][C]-0.022941[/C][C]-0.1777[/C][C]0.570222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3766&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3766&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
0	1	7.746	0
1	0.13761	1.0659	0.145365
2	0.045184	0.35	0.363786
3	0.254521	1.9715	0.026641
4	-0.01693	-0.1311	0.551948
5	0.114161	0.8843	0.190037
6	0.143362	1.1105	0.135612
7	-0.143919	-1.1148	0.865308
8	0.150177	1.1633	0.124664
9	0.20111	1.5578	0.062271
10	-0.166487	-1.2896	0.898931
11	-0.029221	-0.2263	0.589148
12	-0.200332	-1.5518	0.937012
13	-0.231195	-1.7908	0.960817
14	0.087516	0.6779	0.250222
15	-0.128368	-0.9943	0.837972
16	-0.133917	-1.0373	0.848124
17	0.216521	1.6772	0.049356
18	-0.09325	-0.7223	0.763545
19	-0.163407	-1.2657	0.894751
20	-0.044491	-0.3446	0.63421
21	-0.136736	-1.0592	0.853112
22	-0.124903	-0.9675	0.83141
23	0.045556	0.3529	0.362708
24	-0.245983	-1.9054	0.969237
25	-0.141716	-1.0977	0.861646
26	-0.014446	-0.1119	0.544362
27	-0.122743	-0.9508	0.82723
28	-0.101245	-0.7842	0.782007
29	-0.086765	-0.6721	0.747944
30	-0.128862	-0.9982	0.838895
31	0.002054	0.0159	0.49368
32	0.032346	0.2506	0.401509
33	-0.090532	-0.7013	0.757074
34	0.04506	0.349	0.364142
35	0.049929	0.3867	0.350157
36	0.014518	0.1125	0.455419
37	0.167359	1.2964	0.099908
38	0.073777	0.5715	0.284905
39	0.013244	0.1026	0.459316
40	0.129532	1.0034	0.15986
41	0.018494	0.1433	0.443286
42	0.069218	0.5362	0.296916
43	0.058948	0.4566	0.324801
44	0.016972	0.1315	0.447923
45	0.017977	0.1393	0.444859
46	0.064595	0.5004	0.309329
47	-0.022941	-0.1777	0.570222

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.13761	1.0659	0.145365
1	0.026754	0.2072	0.418265
2	0.249691	1.9341	0.028911
3	-0.0907	-0.7026	0.757476
4	0.130783	1.013	0.157554
5	0.049604	0.3842	0.351084
6	-0.159612	-1.2363	0.889426
7	0.1575	1.22	0.113622
8	0.133299	1.0325	0.152985
9	-0.177289	-1.3733	0.912611
10	-0.091276	-0.707	0.758854
11	-0.260562	-2.0183	0.975982
12	-0.101089	-0.783	0.781657
13	0.093989	0.728	0.234713
14	-0.023389	-0.1812	0.571579
15	0.024664	0.191	0.424567
16	0.200952	1.5566	0.062417
17	-0.073652	-0.5705	0.714768
18	-0.142942	-1.1072	0.863693
19	-0.099747	-0.7726	0.778614
20	0.089674	0.6946	0.244989
21	-0.174964	-1.3553	0.909793
22	5.1e-05	4e-04	0.499842
23	-0.223618	-1.7321	0.955806
24	-0.207588	-1.608	0.943455
25	-0.111181	-0.8612	0.803723
26	0.115912	0.8978	0.186427
27	-0.011249	-0.0871	0.534574
28	0.101315	0.7848	0.217834
29	-0.004169	-0.0323	0.512827
30	-0.107113	-0.8297	0.795
31	-0.02253	-0.1745	0.568977
32	0.056752	0.4396	0.330904
33	-0.045099	-0.3493	0.63597
34	0.001522	0.0118	0.495317
35	-0.035098	-0.2719	0.606673
36	1e-06	0	0.499997
37	-0.082782	-0.6412	0.738092
38	0.070429	0.5455	0.293702
39	-0.033376	-0.2585	0.601559
40	0.024241	0.1878	0.425844
41	0.123393	0.9558	0.171505
42	-0.116	-0.8985	0.813753
43	-0.11955	-0.926	0.820929
44	-0.021305	-0.165	0.56526
45	-0.074409	-0.5764	0.71674
46	-0.02307	-0.1787	0.570611
47	-0.060732	-0.4704	0.680124

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.13761 & 1.0659 & 0.145365 \tabularnewline
1 & 0.026754 & 0.2072 & 0.418265 \tabularnewline
2 & 0.249691 & 1.9341 & 0.028911 \tabularnewline
3 & -0.0907 & -0.7026 & 0.757476 \tabularnewline
4 & 0.130783 & 1.013 & 0.157554 \tabularnewline
5 & 0.049604 & 0.3842 & 0.351084 \tabularnewline
6 & -0.159612 & -1.2363 & 0.889426 \tabularnewline
7 & 0.1575 & 1.22 & 0.113622 \tabularnewline
8 & 0.133299 & 1.0325 & 0.152985 \tabularnewline
9 & -0.177289 & -1.3733 & 0.912611 \tabularnewline
10 & -0.091276 & -0.707 & 0.758854 \tabularnewline
11 & -0.260562 & -2.0183 & 0.975982 \tabularnewline
12 & -0.101089 & -0.783 & 0.781657 \tabularnewline
13 & 0.093989 & 0.728 & 0.234713 \tabularnewline
14 & -0.023389 & -0.1812 & 0.571579 \tabularnewline
15 & 0.024664 & 0.191 & 0.424567 \tabularnewline
16 & 0.200952 & 1.5566 & 0.062417 \tabularnewline
17 & -0.073652 & -0.5705 & 0.714768 \tabularnewline
18 & -0.142942 & -1.1072 & 0.863693 \tabularnewline
19 & -0.099747 & -0.7726 & 0.778614 \tabularnewline
20 & 0.089674 & 0.6946 & 0.244989 \tabularnewline
21 & -0.174964 & -1.3553 & 0.909793 \tabularnewline
22 & 5.1e-05 & 4e-04 & 0.499842 \tabularnewline
23 & -0.223618 & -1.7321 & 0.955806 \tabularnewline
24 & -0.207588 & -1.608 & 0.943455 \tabularnewline
25 & -0.111181 & -0.8612 & 0.803723 \tabularnewline
26 & 0.115912 & 0.8978 & 0.186427 \tabularnewline
27 & -0.011249 & -0.0871 & 0.534574 \tabularnewline
28 & 0.101315 & 0.7848 & 0.217834 \tabularnewline
29 & -0.004169 & -0.0323 & 0.512827 \tabularnewline
30 & -0.107113 & -0.8297 & 0.795 \tabularnewline
31 & -0.02253 & -0.1745 & 0.568977 \tabularnewline
32 & 0.056752 & 0.4396 & 0.330904 \tabularnewline
33 & -0.045099 & -0.3493 & 0.63597 \tabularnewline
34 & 0.001522 & 0.0118 & 0.495317 \tabularnewline
35 & -0.035098 & -0.2719 & 0.606673 \tabularnewline
36 & 1e-06 & 0 & 0.499997 \tabularnewline
37 & -0.082782 & -0.6412 & 0.738092 \tabularnewline
38 & 0.070429 & 0.5455 & 0.293702 \tabularnewline
39 & -0.033376 & -0.2585 & 0.601559 \tabularnewline
40 & 0.024241 & 0.1878 & 0.425844 \tabularnewline
41 & 0.123393 & 0.9558 & 0.171505 \tabularnewline
42 & -0.116 & -0.8985 & 0.813753 \tabularnewline
43 & -0.11955 & -0.926 & 0.820929 \tabularnewline
44 & -0.021305 & -0.165 & 0.56526 \tabularnewline
45 & -0.074409 & -0.5764 & 0.71674 \tabularnewline
46 & -0.02307 & -0.1787 & 0.570611 \tabularnewline
47 & -0.060732 & -0.4704 & 0.680124 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3766&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]0[/C][C]0.13761[/C][C]1.0659[/C][C]0.145365[/C][/ROW]
[ROW][C]1[/C][C]0.026754[/C][C]0.2072[/C][C]0.418265[/C][/ROW]
[ROW][C]2[/C][C]0.249691[/C][C]1.9341[/C][C]0.028911[/C][/ROW]
[ROW][C]3[/C][C]-0.0907[/C][C]-0.7026[/C][C]0.757476[/C][/ROW]
[ROW][C]4[/C][C]0.130783[/C][C]1.013[/C][C]0.157554[/C][/ROW]
[ROW][C]5[/C][C]0.049604[/C][C]0.3842[/C][C]0.351084[/C][/ROW]
[ROW][C]6[/C][C]-0.159612[/C][C]-1.2363[/C][C]0.889426[/C][/ROW]
[ROW][C]7[/C][C]0.1575[/C][C]1.22[/C][C]0.113622[/C][/ROW]
[ROW][C]8[/C][C]0.133299[/C][C]1.0325[/C][C]0.152985[/C][/ROW]
[ROW][C]9[/C][C]-0.177289[/C][C]-1.3733[/C][C]0.912611[/C][/ROW]
[ROW][C]10[/C][C]-0.091276[/C][C]-0.707[/C][C]0.758854[/C][/ROW]
[ROW][C]11[/C][C]-0.260562[/C][C]-2.0183[/C][C]0.975982[/C][/ROW]
[ROW][C]12[/C][C]-0.101089[/C][C]-0.783[/C][C]0.781657[/C][/ROW]
[ROW][C]13[/C][C]0.093989[/C][C]0.728[/C][C]0.234713[/C][/ROW]
[ROW][C]14[/C][C]-0.023389[/C][C]-0.1812[/C][C]0.571579[/C][/ROW]
[ROW][C]15[/C][C]0.024664[/C][C]0.191[/C][C]0.424567[/C][/ROW]
[ROW][C]16[/C][C]0.200952[/C][C]1.5566[/C][C]0.062417[/C][/ROW]
[ROW][C]17[/C][C]-0.073652[/C][C]-0.5705[/C][C]0.714768[/C][/ROW]
[ROW][C]18[/C][C]-0.142942[/C][C]-1.1072[/C][C]0.863693[/C][/ROW]
[ROW][C]19[/C][C]-0.099747[/C][C]-0.7726[/C][C]0.778614[/C][/ROW]
[ROW][C]20[/C][C]0.089674[/C][C]0.6946[/C][C]0.244989[/C][/ROW]
[ROW][C]21[/C][C]-0.174964[/C][C]-1.3553[/C][C]0.909793[/C][/ROW]
[ROW][C]22[/C][C]5.1e-05[/C][C]4e-04[/C][C]0.499842[/C][/ROW]
[ROW][C]23[/C][C]-0.223618[/C][C]-1.7321[/C][C]0.955806[/C][/ROW]
[ROW][C]24[/C][C]-0.207588[/C][C]-1.608[/C][C]0.943455[/C][/ROW]
[ROW][C]25[/C][C]-0.111181[/C][C]-0.8612[/C][C]0.803723[/C][/ROW]
[ROW][C]26[/C][C]0.115912[/C][C]0.8978[/C][C]0.186427[/C][/ROW]
[ROW][C]27[/C][C]-0.011249[/C][C]-0.0871[/C][C]0.534574[/C][/ROW]
[ROW][C]28[/C][C]0.101315[/C][C]0.7848[/C][C]0.217834[/C][/ROW]
[ROW][C]29[/C][C]-0.004169[/C][C]-0.0323[/C][C]0.512827[/C][/ROW]
[ROW][C]30[/C][C]-0.107113[/C][C]-0.8297[/C][C]0.795[/C][/ROW]
[ROW][C]31[/C][C]-0.02253[/C][C]-0.1745[/C][C]0.568977[/C][/ROW]
[ROW][C]32[/C][C]0.056752[/C][C]0.4396[/C][C]0.330904[/C][/ROW]
[ROW][C]33[/C][C]-0.045099[/C][C]-0.3493[/C][C]0.63597[/C][/ROW]
[ROW][C]34[/C][C]0.001522[/C][C]0.0118[/C][C]0.495317[/C][/ROW]
[ROW][C]35[/C][C]-0.035098[/C][C]-0.2719[/C][C]0.606673[/C][/ROW]
[ROW][C]36[/C][C]1e-06[/C][C]0[/C][C]0.499997[/C][/ROW]
[ROW][C]37[/C][C]-0.082782[/C][C]-0.6412[/C][C]0.738092[/C][/ROW]
[ROW][C]38[/C][C]0.070429[/C][C]0.5455[/C][C]0.293702[/C][/ROW]
[ROW][C]39[/C][C]-0.033376[/C][C]-0.2585[/C][C]0.601559[/C][/ROW]
[ROW][C]40[/C][C]0.024241[/C][C]0.1878[/C][C]0.425844[/C][/ROW]
[ROW][C]41[/C][C]0.123393[/C][C]0.9558[/C][C]0.171505[/C][/ROW]
[ROW][C]42[/C][C]-0.116[/C][C]-0.8985[/C][C]0.813753[/C][/ROW]
[ROW][C]43[/C][C]-0.11955[/C][C]-0.926[/C][C]0.820929[/C][/ROW]
[ROW][C]44[/C][C]-0.021305[/C][C]-0.165[/C][C]0.56526[/C][/ROW]
[ROW][C]45[/C][C]-0.074409[/C][C]-0.5764[/C][C]0.71674[/C][/ROW]
[ROW][C]46[/C][C]-0.02307[/C][C]-0.1787[/C][C]0.570611[/C][/ROW]
[ROW][C]47[/C][C]-0.060732[/C][C]-0.4704[/C][C]0.680124[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3766&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3766&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
0	0.13761	1.0659	0.145365
1	0.026754	0.2072	0.418265
2	0.249691	1.9341	0.028911
3	-0.0907	-0.7026	0.757476
4	0.130783	1.013	0.157554
5	0.049604	0.3842	0.351084
6	-0.159612	-1.2363	0.889426
7	0.1575	1.22	0.113622
8	0.133299	1.0325	0.152985
9	-0.177289	-1.3733	0.912611
10	-0.091276	-0.707	0.758854
11	-0.260562	-2.0183	0.975982
12	-0.101089	-0.783	0.781657
13	0.093989	0.728	0.234713
14	-0.023389	-0.1812	0.571579
15	0.024664	0.191	0.424567
16	0.200952	1.5566	0.062417
17	-0.073652	-0.5705	0.714768
18	-0.142942	-1.1072	0.863693
19	-0.099747	-0.7726	0.778614
20	0.089674	0.6946	0.244989
21	-0.174964	-1.3553	0.909793
22	5.1e-05	4e-04	0.499842
23	-0.223618	-1.7321	0.955806
24	-0.207588	-1.608	0.943455
25	-0.111181	-0.8612	0.803723
26	0.115912	0.8978	0.186427
27	-0.011249	-0.0871	0.534574
28	0.101315	0.7848	0.217834
29	-0.004169	-0.0323	0.512827
30	-0.107113	-0.8297	0.795
31	-0.02253	-0.1745	0.568977
32	0.056752	0.4396	0.330904
33	-0.045099	-0.3493	0.63597
34	0.001522	0.0118	0.495317
35	-0.035098	-0.2719	0.606673
36	1e-06	0	0.499997
37	-0.082782	-0.6412	0.738092
38	0.070429	0.5455	0.293702
39	-0.033376	-0.2585	0.601559
40	0.024241	0.1878	0.425844
41	0.123393	0.9558	0.171505
42	-0.116	-0.8985	0.813753
43	-0.11955	-0.926	0.820929
44	-0.021305	-0.165	0.56526
45	-0.074409	-0.5764	0.71674
46	-0.02307	-0.1787	0.570611
47	-0.060732	-0.4704	0.680124

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = -1.9 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = -1.9 ; par3 = 0 ; 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 1:par1) {
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(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-1,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(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