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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Tue, 18 Oct 2016 17:50:25 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/18/t1476809498b8lbxc1gqypnxo0.htm/, Retrieved Sun, 28 Apr 2024 18:32:01 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 28 Apr 2024 18:32:01 +0200

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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	2 seconds
R Server	'George Udny Yule' @ yule.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	2 seconds
R Server	'George Udny Yule' @ yule.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.19843	-1.5242	0.066405
2	-0.357138	-2.7432	0.004022
3	-0.001123	-0.0086	0.496573
4	0.088859	0.6825	0.248784
5	-0.032871	-0.2525	0.400771
6	-0.054743	-0.4205	0.337828
7	0.234853	1.8039	0.038173
8	-0.025621	-0.1968	0.422332
9	-0.037855	-0.2908	0.386124
10	-0.314763	-2.4177	0.009362
11	0.024321	0.1868	0.426223
12	0.42723	3.2816	0.000868
13	-0.045849	-0.3522	0.362982
14	-0.13477	-1.0352	0.152404
15	-0.090439	-0.6947	0.244993
16	0.006039	0.0464	0.481578
17	0.051618	0.3965	0.346588
18	-0.038076	-0.2925	0.385477
19	0.09607	0.7379	0.231742
20	0.0282	0.2166	0.414632
21	-0.008718	-0.067	0.473419
22	-0.335156	-2.5744	0.006286
23	0.076423	0.587	0.279715
24	0.273184	2.0984	0.020082
25	-0.032412	-0.249	0.402127
26	0.00967	0.0743	0.47052
27	-0.145429	-1.1171	0.134248
28	-0.004404	-0.0338	0.486563
29	0.039662	0.3046	0.380853
30	-0.029089	-0.2234	0.411983
31	-0.043082	-0.3309	0.370938
32	0.157478	1.2096	0.115626
33	0.018011	0.1383	0.445221
34	-0.262092	-2.0132	0.024333
35	-0.020845	-0.1601	0.436668
36	0.24899	1.9125	0.030333
37	0.007225	0.0555	0.477966
38	-0.103146	-0.7923	0.215687
39	-0.024548	-0.1886	0.425545
40	0.050142	0.3851	0.350757
41	-0.017875	-0.1373	0.44563
42	-0.045401	-0.3487	0.364265
43	0.04633	0.3559	0.361604
44	0.090742	0.697	0.244269
45	-0.039683	-0.3048	0.380792
46	-0.142681	-1.096	0.138777
47	0.056279	0.4323	0.333554
48	0.065068	0.4998	0.309537

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.19843 & -1.5242 & 0.066405 \tabularnewline
2 & -0.357138 & -2.7432 & 0.004022 \tabularnewline
3 & -0.001123 & -0.0086 & 0.496573 \tabularnewline
4 & 0.088859 & 0.6825 & 0.248784 \tabularnewline
5 & -0.032871 & -0.2525 & 0.400771 \tabularnewline
6 & -0.054743 & -0.4205 & 0.337828 \tabularnewline
7 & 0.234853 & 1.8039 & 0.038173 \tabularnewline
8 & -0.025621 & -0.1968 & 0.422332 \tabularnewline
9 & -0.037855 & -0.2908 & 0.386124 \tabularnewline
10 & -0.314763 & -2.4177 & 0.009362 \tabularnewline
11 & 0.024321 & 0.1868 & 0.426223 \tabularnewline
12 & 0.42723 & 3.2816 & 0.000868 \tabularnewline
13 & -0.045849 & -0.3522 & 0.362982 \tabularnewline
14 & -0.13477 & -1.0352 & 0.152404 \tabularnewline
15 & -0.090439 & -0.6947 & 0.244993 \tabularnewline
16 & 0.006039 & 0.0464 & 0.481578 \tabularnewline
17 & 0.051618 & 0.3965 & 0.346588 \tabularnewline
18 & -0.038076 & -0.2925 & 0.385477 \tabularnewline
19 & 0.09607 & 0.7379 & 0.231742 \tabularnewline
20 & 0.0282 & 0.2166 & 0.414632 \tabularnewline
21 & -0.008718 & -0.067 & 0.473419 \tabularnewline
22 & -0.335156 & -2.5744 & 0.006286 \tabularnewline
23 & 0.076423 & 0.587 & 0.279715 \tabularnewline
24 & 0.273184 & 2.0984 & 0.020082 \tabularnewline
25 & -0.032412 & -0.249 & 0.402127 \tabularnewline
26 & 0.00967 & 0.0743 & 0.47052 \tabularnewline
27 & -0.145429 & -1.1171 & 0.134248 \tabularnewline
28 & -0.004404 & -0.0338 & 0.486563 \tabularnewline
29 & 0.039662 & 0.3046 & 0.380853 \tabularnewline
30 & -0.029089 & -0.2234 & 0.411983 \tabularnewline
31 & -0.043082 & -0.3309 & 0.370938 \tabularnewline
32 & 0.157478 & 1.2096 & 0.115626 \tabularnewline
33 & 0.018011 & 0.1383 & 0.445221 \tabularnewline
34 & -0.262092 & -2.0132 & 0.024333 \tabularnewline
35 & -0.020845 & -0.1601 & 0.436668 \tabularnewline
36 & 0.24899 & 1.9125 & 0.030333 \tabularnewline
37 & 0.007225 & 0.0555 & 0.477966 \tabularnewline
38 & -0.103146 & -0.7923 & 0.215687 \tabularnewline
39 & -0.024548 & -0.1886 & 0.425545 \tabularnewline
40 & 0.050142 & 0.3851 & 0.350757 \tabularnewline
41 & -0.017875 & -0.1373 & 0.44563 \tabularnewline
42 & -0.045401 & -0.3487 & 0.364265 \tabularnewline
43 & 0.04633 & 0.3559 & 0.361604 \tabularnewline
44 & 0.090742 & 0.697 & 0.244269 \tabularnewline
45 & -0.039683 & -0.3048 & 0.380792 \tabularnewline
46 & -0.142681 & -1.096 & 0.138777 \tabularnewline
47 & 0.056279 & 0.4323 & 0.333554 \tabularnewline
48 & 0.065068 & 0.4998 & 0.309537 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]-0.19843[/C][C]-1.5242[/C][C]0.066405[/C][/ROW]
[ROW][C]2[/C][C]-0.357138[/C][C]-2.7432[/C][C]0.004022[/C][/ROW]
[ROW][C]3[/C][C]-0.001123[/C][C]-0.0086[/C][C]0.496573[/C][/ROW]
[ROW][C]4[/C][C]0.088859[/C][C]0.6825[/C][C]0.248784[/C][/ROW]
[ROW][C]5[/C][C]-0.032871[/C][C]-0.2525[/C][C]0.400771[/C][/ROW]
[ROW][C]6[/C][C]-0.054743[/C][C]-0.4205[/C][C]0.337828[/C][/ROW]
[ROW][C]7[/C][C]0.234853[/C][C]1.8039[/C][C]0.038173[/C][/ROW]
[ROW][C]8[/C][C]-0.025621[/C][C]-0.1968[/C][C]0.422332[/C][/ROW]
[ROW][C]9[/C][C]-0.037855[/C][C]-0.2908[/C][C]0.386124[/C][/ROW]
[ROW][C]10[/C][C]-0.314763[/C][C]-2.4177[/C][C]0.009362[/C][/ROW]
[ROW][C]11[/C][C]0.024321[/C][C]0.1868[/C][C]0.426223[/C][/ROW]
[ROW][C]12[/C][C]0.42723[/C][C]3.2816[/C][C]0.000868[/C][/ROW]
[ROW][C]13[/C][C]-0.045849[/C][C]-0.3522[/C][C]0.362982[/C][/ROW]
[ROW][C]14[/C][C]-0.13477[/C][C]-1.0352[/C][C]0.152404[/C][/ROW]
[ROW][C]15[/C][C]-0.090439[/C][C]-0.6947[/C][C]0.244993[/C][/ROW]
[ROW][C]16[/C][C]0.006039[/C][C]0.0464[/C][C]0.481578[/C][/ROW]
[ROW][C]17[/C][C]0.051618[/C][C]0.3965[/C][C]0.346588[/C][/ROW]
[ROW][C]18[/C][C]-0.038076[/C][C]-0.2925[/C][C]0.385477[/C][/ROW]
[ROW][C]19[/C][C]0.09607[/C][C]0.7379[/C][C]0.231742[/C][/ROW]
[ROW][C]20[/C][C]0.0282[/C][C]0.2166[/C][C]0.414632[/C][/ROW]
[ROW][C]21[/C][C]-0.008718[/C][C]-0.067[/C][C]0.473419[/C][/ROW]
[ROW][C]22[/C][C]-0.335156[/C][C]-2.5744[/C][C]0.006286[/C][/ROW]
[ROW][C]23[/C][C]0.076423[/C][C]0.587[/C][C]0.279715[/C][/ROW]
[ROW][C]24[/C][C]0.273184[/C][C]2.0984[/C][C]0.020082[/C][/ROW]
[ROW][C]25[/C][C]-0.032412[/C][C]-0.249[/C][C]0.402127[/C][/ROW]
[ROW][C]26[/C][C]0.00967[/C][C]0.0743[/C][C]0.47052[/C][/ROW]
[ROW][C]27[/C][C]-0.145429[/C][C]-1.1171[/C][C]0.134248[/C][/ROW]
[ROW][C]28[/C][C]-0.004404[/C][C]-0.0338[/C][C]0.486563[/C][/ROW]
[ROW][C]29[/C][C]0.039662[/C][C]0.3046[/C][C]0.380853[/C][/ROW]
[ROW][C]30[/C][C]-0.029089[/C][C]-0.2234[/C][C]0.411983[/C][/ROW]
[ROW][C]31[/C][C]-0.043082[/C][C]-0.3309[/C][C]0.370938[/C][/ROW]
[ROW][C]32[/C][C]0.157478[/C][C]1.2096[/C][C]0.115626[/C][/ROW]
[ROW][C]33[/C][C]0.018011[/C][C]0.1383[/C][C]0.445221[/C][/ROW]
[ROW][C]34[/C][C]-0.262092[/C][C]-2.0132[/C][C]0.024333[/C][/ROW]
[ROW][C]35[/C][C]-0.020845[/C][C]-0.1601[/C][C]0.436668[/C][/ROW]
[ROW][C]36[/C][C]0.24899[/C][C]1.9125[/C][C]0.030333[/C][/ROW]
[ROW][C]37[/C][C]0.007225[/C][C]0.0555[/C][C]0.477966[/C][/ROW]
[ROW][C]38[/C][C]-0.103146[/C][C]-0.7923[/C][C]0.215687[/C][/ROW]
[ROW][C]39[/C][C]-0.024548[/C][C]-0.1886[/C][C]0.425545[/C][/ROW]
[ROW][C]40[/C][C]0.050142[/C][C]0.3851[/C][C]0.350757[/C][/ROW]
[ROW][C]41[/C][C]-0.017875[/C][C]-0.1373[/C][C]0.44563[/C][/ROW]
[ROW][C]42[/C][C]-0.045401[/C][C]-0.3487[/C][C]0.364265[/C][/ROW]
[ROW][C]43[/C][C]0.04633[/C][C]0.3559[/C][C]0.361604[/C][/ROW]
[ROW][C]44[/C][C]0.090742[/C][C]0.697[/C][C]0.244269[/C][/ROW]
[ROW][C]45[/C][C]-0.039683[/C][C]-0.3048[/C][C]0.380792[/C][/ROW]
[ROW][C]46[/C][C]-0.142681[/C][C]-1.096[/C][C]0.138777[/C][/ROW]
[ROW][C]47[/C][C]0.056279[/C][C]0.4323[/C][C]0.333554[/C][/ROW]
[ROW][C]48[/C][C]0.065068[/C][C]0.4998[/C][C]0.309537[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	-0.19843	-1.5242	0.066405
2	-0.357138	-2.7432	0.004022
3	-0.001123	-0.0086	0.496573
4	0.088859	0.6825	0.248784
5	-0.032871	-0.2525	0.400771
6	-0.054743	-0.4205	0.337828
7	0.234853	1.8039	0.038173
8	-0.025621	-0.1968	0.422332
9	-0.037855	-0.2908	0.386124
10	-0.314763	-2.4177	0.009362
11	0.024321	0.1868	0.426223
12	0.42723	3.2816	0.000868
13	-0.045849	-0.3522	0.362982
14	-0.13477	-1.0352	0.152404
15	-0.090439	-0.6947	0.244993
16	0.006039	0.0464	0.481578
17	0.051618	0.3965	0.346588
18	-0.038076	-0.2925	0.385477
19	0.09607	0.7379	0.231742
20	0.0282	0.2166	0.414632
21	-0.008718	-0.067	0.473419
22	-0.335156	-2.5744	0.006286
23	0.076423	0.587	0.279715
24	0.273184	2.0984	0.020082
25	-0.032412	-0.249	0.402127
26	0.00967	0.0743	0.47052
27	-0.145429	-1.1171	0.134248
28	-0.004404	-0.0338	0.486563
29	0.039662	0.3046	0.380853
30	-0.029089	-0.2234	0.411983
31	-0.043082	-0.3309	0.370938
32	0.157478	1.2096	0.115626
33	0.018011	0.1383	0.445221
34	-0.262092	-2.0132	0.024333
35	-0.020845	-0.1601	0.436668
36	0.24899	1.9125	0.030333
37	0.007225	0.0555	0.477966
38	-0.103146	-0.7923	0.215687
39	-0.024548	-0.1886	0.425545
40	0.050142	0.3851	0.350757
41	-0.017875	-0.1373	0.44563
42	-0.045401	-0.3487	0.364265
43	0.04633	0.3559	0.361604
44	0.090742	0.697	0.244269
45	-0.039683	-0.3048	0.380792
46	-0.142681	-1.096	0.138777
47	0.056279	0.4323	0.333554
48	0.065068	0.4998	0.309537

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.19843	-1.5242	0.066405
2	-0.412765	-3.1705	0.001207
3	-0.229806	-1.7652	0.041355
4	-0.169016	-1.2982	0.09963
5	-0.18405	-1.4137	0.081351
6	-0.196979	-1.513	0.067807
7	0.135637	1.0418	0.150866
8	0.059187	0.4546	0.325523
9	0.219969	1.6896	0.04819
10	-0.271632	-2.0864	0.020635
11	-0.215129	-1.6524	0.051879
12	0.184247	1.4152	0.081129
13	0.109796	0.8434	0.201216
14	0.152696	1.1729	0.122779
15	-0.026118	-0.2006	0.420844
16	-0.150096	-1.1529	0.126799
17	0.149883	1.1513	0.127132
18	-0.010032	-0.0771	0.469421
19	-0.018317	-0.1407	0.444295
20	-0.093589	-0.7189	0.237528
21	-0.050001	-0.3841	0.351155
22	-0.18924	-1.4536	0.07568
23	-0.051067	-0.3923	0.348142
24	-0.115933	-0.8905	0.188408
25	-0.079541	-0.611	0.271784
26	0.088746	0.6817	0.249056
27	-0.027687	-0.2127	0.416161
28	-0.004174	-0.0321	0.487265
29	0.086173	0.6619	0.255303
30	-0.08475	-0.651	0.258795
31	-0.173748	-1.3346	0.09357
32	-0.071293	-0.5476	0.293011
33	-0.090575	-0.6957	0.244667
34	0.043954	0.3376	0.368424
35	-0.132602	-1.0185	0.156291
36	0.045591	0.3502	0.363722
37	0.005888	0.0452	0.48204
38	-0.090436	-0.6947	0.244999
39	0.023771	0.1826	0.427874
40	-0.03674	-0.2822	0.389387
41	-0.078609	-0.6038	0.274142
42	0.063083	0.4846	0.314895
43	-0.007848	-0.0603	0.476066
44	0.012945	0.0994	0.460568
45	-0.038896	-0.2988	0.383084
46	-0.027498	-0.2112	0.416723
47	0.094163	0.7233	0.236184
48	0.009183	0.0705	0.472003

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.19843 & -1.5242 & 0.066405 \tabularnewline
2 & -0.412765 & -3.1705 & 0.001207 \tabularnewline
3 & -0.229806 & -1.7652 & 0.041355 \tabularnewline
4 & -0.169016 & -1.2982 & 0.09963 \tabularnewline
5 & -0.18405 & -1.4137 & 0.081351 \tabularnewline
6 & -0.196979 & -1.513 & 0.067807 \tabularnewline
7 & 0.135637 & 1.0418 & 0.150866 \tabularnewline
8 & 0.059187 & 0.4546 & 0.325523 \tabularnewline
9 & 0.219969 & 1.6896 & 0.04819 \tabularnewline
10 & -0.271632 & -2.0864 & 0.020635 \tabularnewline
11 & -0.215129 & -1.6524 & 0.051879 \tabularnewline
12 & 0.184247 & 1.4152 & 0.081129 \tabularnewline
13 & 0.109796 & 0.8434 & 0.201216 \tabularnewline
14 & 0.152696 & 1.1729 & 0.122779 \tabularnewline
15 & -0.026118 & -0.2006 & 0.420844 \tabularnewline
16 & -0.150096 & -1.1529 & 0.126799 \tabularnewline
17 & 0.149883 & 1.1513 & 0.127132 \tabularnewline
18 & -0.010032 & -0.0771 & 0.469421 \tabularnewline
19 & -0.018317 & -0.1407 & 0.444295 \tabularnewline
20 & -0.093589 & -0.7189 & 0.237528 \tabularnewline
21 & -0.050001 & -0.3841 & 0.351155 \tabularnewline
22 & -0.18924 & -1.4536 & 0.07568 \tabularnewline
23 & -0.051067 & -0.3923 & 0.348142 \tabularnewline
24 & -0.115933 & -0.8905 & 0.188408 \tabularnewline
25 & -0.079541 & -0.611 & 0.271784 \tabularnewline
26 & 0.088746 & 0.6817 & 0.249056 \tabularnewline
27 & -0.027687 & -0.2127 & 0.416161 \tabularnewline
28 & -0.004174 & -0.0321 & 0.487265 \tabularnewline
29 & 0.086173 & 0.6619 & 0.255303 \tabularnewline
30 & -0.08475 & -0.651 & 0.258795 \tabularnewline
31 & -0.173748 & -1.3346 & 0.09357 \tabularnewline
32 & -0.071293 & -0.5476 & 0.293011 \tabularnewline
33 & -0.090575 & -0.6957 & 0.244667 \tabularnewline
34 & 0.043954 & 0.3376 & 0.368424 \tabularnewline
35 & -0.132602 & -1.0185 & 0.156291 \tabularnewline
36 & 0.045591 & 0.3502 & 0.363722 \tabularnewline
37 & 0.005888 & 0.0452 & 0.48204 \tabularnewline
38 & -0.090436 & -0.6947 & 0.244999 \tabularnewline
39 & 0.023771 & 0.1826 & 0.427874 \tabularnewline
40 & -0.03674 & -0.2822 & 0.389387 \tabularnewline
41 & -0.078609 & -0.6038 & 0.274142 \tabularnewline
42 & 0.063083 & 0.4846 & 0.314895 \tabularnewline
43 & -0.007848 & -0.0603 & 0.476066 \tabularnewline
44 & 0.012945 & 0.0994 & 0.460568 \tabularnewline
45 & -0.038896 & -0.2988 & 0.383084 \tabularnewline
46 & -0.027498 & -0.2112 & 0.416723 \tabularnewline
47 & 0.094163 & 0.7233 & 0.236184 \tabularnewline
48 & 0.009183 & 0.0705 & 0.472003 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]-0.19843[/C][C]-1.5242[/C][C]0.066405[/C][/ROW]
[ROW][C]2[/C][C]-0.412765[/C][C]-3.1705[/C][C]0.001207[/C][/ROW]
[ROW][C]3[/C][C]-0.229806[/C][C]-1.7652[/C][C]0.041355[/C][/ROW]
[ROW][C]4[/C][C]-0.169016[/C][C]-1.2982[/C][C]0.09963[/C][/ROW]
[ROW][C]5[/C][C]-0.18405[/C][C]-1.4137[/C][C]0.081351[/C][/ROW]
[ROW][C]6[/C][C]-0.196979[/C][C]-1.513[/C][C]0.067807[/C][/ROW]
[ROW][C]7[/C][C]0.135637[/C][C]1.0418[/C][C]0.150866[/C][/ROW]
[ROW][C]8[/C][C]0.059187[/C][C]0.4546[/C][C]0.325523[/C][/ROW]
[ROW][C]9[/C][C]0.219969[/C][C]1.6896[/C][C]0.04819[/C][/ROW]
[ROW][C]10[/C][C]-0.271632[/C][C]-2.0864[/C][C]0.020635[/C][/ROW]
[ROW][C]11[/C][C]-0.215129[/C][C]-1.6524[/C][C]0.051879[/C][/ROW]
[ROW][C]12[/C][C]0.184247[/C][C]1.4152[/C][C]0.081129[/C][/ROW]
[ROW][C]13[/C][C]0.109796[/C][C]0.8434[/C][C]0.201216[/C][/ROW]
[ROW][C]14[/C][C]0.152696[/C][C]1.1729[/C][C]0.122779[/C][/ROW]
[ROW][C]15[/C][C]-0.026118[/C][C]-0.2006[/C][C]0.420844[/C][/ROW]
[ROW][C]16[/C][C]-0.150096[/C][C]-1.1529[/C][C]0.126799[/C][/ROW]
[ROW][C]17[/C][C]0.149883[/C][C]1.1513[/C][C]0.127132[/C][/ROW]
[ROW][C]18[/C][C]-0.010032[/C][C]-0.0771[/C][C]0.469421[/C][/ROW]
[ROW][C]19[/C][C]-0.018317[/C][C]-0.1407[/C][C]0.444295[/C][/ROW]
[ROW][C]20[/C][C]-0.093589[/C][C]-0.7189[/C][C]0.237528[/C][/ROW]
[ROW][C]21[/C][C]-0.050001[/C][C]-0.3841[/C][C]0.351155[/C][/ROW]
[ROW][C]22[/C][C]-0.18924[/C][C]-1.4536[/C][C]0.07568[/C][/ROW]
[ROW][C]23[/C][C]-0.051067[/C][C]-0.3923[/C][C]0.348142[/C][/ROW]
[ROW][C]24[/C][C]-0.115933[/C][C]-0.8905[/C][C]0.188408[/C][/ROW]
[ROW][C]25[/C][C]-0.079541[/C][C]-0.611[/C][C]0.271784[/C][/ROW]
[ROW][C]26[/C][C]0.088746[/C][C]0.6817[/C][C]0.249056[/C][/ROW]
[ROW][C]27[/C][C]-0.027687[/C][C]-0.2127[/C][C]0.416161[/C][/ROW]
[ROW][C]28[/C][C]-0.004174[/C][C]-0.0321[/C][C]0.487265[/C][/ROW]
[ROW][C]29[/C][C]0.086173[/C][C]0.6619[/C][C]0.255303[/C][/ROW]
[ROW][C]30[/C][C]-0.08475[/C][C]-0.651[/C][C]0.258795[/C][/ROW]
[ROW][C]31[/C][C]-0.173748[/C][C]-1.3346[/C][C]0.09357[/C][/ROW]
[ROW][C]32[/C][C]-0.071293[/C][C]-0.5476[/C][C]0.293011[/C][/ROW]
[ROW][C]33[/C][C]-0.090575[/C][C]-0.6957[/C][C]0.244667[/C][/ROW]
[ROW][C]34[/C][C]0.043954[/C][C]0.3376[/C][C]0.368424[/C][/ROW]
[ROW][C]35[/C][C]-0.132602[/C][C]-1.0185[/C][C]0.156291[/C][/ROW]
[ROW][C]36[/C][C]0.045591[/C][C]0.3502[/C][C]0.363722[/C][/ROW]
[ROW][C]37[/C][C]0.005888[/C][C]0.0452[/C][C]0.48204[/C][/ROW]
[ROW][C]38[/C][C]-0.090436[/C][C]-0.6947[/C][C]0.244999[/C][/ROW]
[ROW][C]39[/C][C]0.023771[/C][C]0.1826[/C][C]0.427874[/C][/ROW]
[ROW][C]40[/C][C]-0.03674[/C][C]-0.2822[/C][C]0.389387[/C][/ROW]
[ROW][C]41[/C][C]-0.078609[/C][C]-0.6038[/C][C]0.274142[/C][/ROW]
[ROW][C]42[/C][C]0.063083[/C][C]0.4846[/C][C]0.314895[/C][/ROW]
[ROW][C]43[/C][C]-0.007848[/C][C]-0.0603[/C][C]0.476066[/C][/ROW]
[ROW][C]44[/C][C]0.012945[/C][C]0.0994[/C][C]0.460568[/C][/ROW]
[ROW][C]45[/C][C]-0.038896[/C][C]-0.2988[/C][C]0.383084[/C][/ROW]
[ROW][C]46[/C][C]-0.027498[/C][C]-0.2112[/C][C]0.416723[/C][/ROW]
[ROW][C]47[/C][C]0.094163[/C][C]0.7233[/C][C]0.236184[/C][/ROW]
[ROW][C]48[/C][C]0.009183[/C][C]0.0705[/C][C]0.472003[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	-0.19843	-1.5242	0.066405
2	-0.412765	-3.1705	0.001207
3	-0.229806	-1.7652	0.041355
4	-0.169016	-1.2982	0.09963
5	-0.18405	-1.4137	0.081351
6	-0.196979	-1.513	0.067807
7	0.135637	1.0418	0.150866
8	0.059187	0.4546	0.325523
9	0.219969	1.6896	0.04819
10	-0.271632	-2.0864	0.020635
11	-0.215129	-1.6524	0.051879
12	0.184247	1.4152	0.081129
13	0.109796	0.8434	0.201216
14	0.152696	1.1729	0.122779
15	-0.026118	-0.2006	0.420844
16	-0.150096	-1.1529	0.126799
17	0.149883	1.1513	0.127132
18	-0.010032	-0.0771	0.469421
19	-0.018317	-0.1407	0.444295
20	-0.093589	-0.7189	0.237528
21	-0.050001	-0.3841	0.351155
22	-0.18924	-1.4536	0.07568
23	-0.051067	-0.3923	0.348142
24	-0.115933	-0.8905	0.188408
25	-0.079541	-0.611	0.271784
26	0.088746	0.6817	0.249056
27	-0.027687	-0.2127	0.416161
28	-0.004174	-0.0321	0.487265
29	0.086173	0.6619	0.255303
30	-0.08475	-0.651	0.258795
31	-0.173748	-1.3346	0.09357
32	-0.071293	-0.5476	0.293011
33	-0.090575	-0.6957	0.244667
34	0.043954	0.3376	0.368424
35	-0.132602	-1.0185	0.156291
36	0.045591	0.3502	0.363722
37	0.005888	0.0452	0.48204
38	-0.090436	-0.6947	0.244999
39	0.023771	0.1826	0.427874
40	-0.03674	-0.2822	0.389387
41	-0.078609	-0.6038	0.274142
42	0.063083	0.4846	0.314895
43	-0.007848	-0.0603	0.476066
44	0.012945	0.0994	0.460568
45	-0.038896	-0.2988	0.383084
46	-0.027498	-0.2112	0.416723
47	0.094163	0.7233	0.236184
48	0.009183	0.0705	0.472003

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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 (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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