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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Thu, 16 Mar 2017 18:54:23 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/16/t1489690549wrohewiw5kdchd8.htm/, Retrieved Tue, 14 May 2024 13:33:31 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 13:33:31 +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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.001116	-0.0086	0.496566
2	-0.00057	-0.0044	0.498247
3	-0.18213	-1.4108	0.081738
4	-0.000606	-0.0047	0.498134
5	-0.00064	-0.005	0.498031
6	0.273699	2.1201	0.019073
7	-0.000676	-0.0052	0.497919
8	-0.002852	-0.0221	0.491224
9	-0.442965	-3.4312	0.000547
10	-0.002889	-0.0224	0.491111
11	-0.002858	-0.0221	0.491206
12	0.115305	0.8931	0.187674
13	-0.002894	-0.0224	0.491094
14	-0.002554	-0.0198	0.492142
15	-0.141169	-1.0935	0.139275
16	-0.00259	-0.0201	0.49203
17	0.000861	0.0067	0.49735
18	0.08073	0.6253	0.267061
19	0.000824	0.0064	0.497463
20	0.000684	0.0053	0.497895
21	-0.21512	-1.6663	0.050432
22	0.000647	0.005	0.498008
23	0.000654	0.0051	0.497987
24	0.112249	0.8695	0.194026
25	0.000618	0.0048	0.498099
26	-0.000263	-0.002	0.499192
27	-0.009913	-0.0768	0.469525
28	-0.000299	-0.0023	0.499079
29	-0.000531	-0.0041	0.498367
30	0.116088	0.8992	0.186066
31	-0.000567	-0.0044	0.498255
32	-0.000798	-0.0062	0.497543
33	-0.168354	-1.3041	0.098596
34	-0.000835	-0.0065	0.49743
35	-0.001715	-0.0133	0.494722
36	-0.116373	-0.9014	0.185485
37	-0.001752	-0.0136	0.494609
38	-0.001745	-0.0135	0.49463
39	-0.117384	-0.9093	0.183426
40	-0.001782	-0.0138	0.494518
41	-0.001922	-0.0149	0.494085
42	0.13893	1.0761	0.143086
43	-0.001959	-0.0152	0.493973
44	0.001492	0.0116	0.495407
45	0.067057	0.5194	0.302688
46	0.001456	0.0113	0.49552
47	0.001797	0.0139	0.494471
48	0.063406	0.4911	0.31256

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.001116 & -0.0086 & 0.496566 \tabularnewline
2 & -0.00057 & -0.0044 & 0.498247 \tabularnewline
3 & -0.18213 & -1.4108 & 0.081738 \tabularnewline
4 & -0.000606 & -0.0047 & 0.498134 \tabularnewline
5 & -0.00064 & -0.005 & 0.498031 \tabularnewline
6 & 0.273699 & 2.1201 & 0.019073 \tabularnewline
7 & -0.000676 & -0.0052 & 0.497919 \tabularnewline
8 & -0.002852 & -0.0221 & 0.491224 \tabularnewline
9 & -0.442965 & -3.4312 & 0.000547 \tabularnewline
10 & -0.002889 & -0.0224 & 0.491111 \tabularnewline
11 & -0.002858 & -0.0221 & 0.491206 \tabularnewline
12 & 0.115305 & 0.8931 & 0.187674 \tabularnewline
13 & -0.002894 & -0.0224 & 0.491094 \tabularnewline
14 & -0.002554 & -0.0198 & 0.492142 \tabularnewline
15 & -0.141169 & -1.0935 & 0.139275 \tabularnewline
16 & -0.00259 & -0.0201 & 0.49203 \tabularnewline
17 & 0.000861 & 0.0067 & 0.49735 \tabularnewline
18 & 0.08073 & 0.6253 & 0.267061 \tabularnewline
19 & 0.000824 & 0.0064 & 0.497463 \tabularnewline
20 & 0.000684 & 0.0053 & 0.497895 \tabularnewline
21 & -0.21512 & -1.6663 & 0.050432 \tabularnewline
22 & 0.000647 & 0.005 & 0.498008 \tabularnewline
23 & 0.000654 & 0.0051 & 0.497987 \tabularnewline
24 & 0.112249 & 0.8695 & 0.194026 \tabularnewline
25 & 0.000618 & 0.0048 & 0.498099 \tabularnewline
26 & -0.000263 & -0.002 & 0.499192 \tabularnewline
27 & -0.009913 & -0.0768 & 0.469525 \tabularnewline
28 & -0.000299 & -0.0023 & 0.499079 \tabularnewline
29 & -0.000531 & -0.0041 & 0.498367 \tabularnewline
30 & 0.116088 & 0.8992 & 0.186066 \tabularnewline
31 & -0.000567 & -0.0044 & 0.498255 \tabularnewline
32 & -0.000798 & -0.0062 & 0.497543 \tabularnewline
33 & -0.168354 & -1.3041 & 0.098596 \tabularnewline
34 & -0.000835 & -0.0065 & 0.49743 \tabularnewline
35 & -0.001715 & -0.0133 & 0.494722 \tabularnewline
36 & -0.116373 & -0.9014 & 0.185485 \tabularnewline
37 & -0.001752 & -0.0136 & 0.494609 \tabularnewline
38 & -0.001745 & -0.0135 & 0.49463 \tabularnewline
39 & -0.117384 & -0.9093 & 0.183426 \tabularnewline
40 & -0.001782 & -0.0138 & 0.494518 \tabularnewline
41 & -0.001922 & -0.0149 & 0.494085 \tabularnewline
42 & 0.13893 & 1.0761 & 0.143086 \tabularnewline
43 & -0.001959 & -0.0152 & 0.493973 \tabularnewline
44 & 0.001492 & 0.0116 & 0.495407 \tabularnewline
45 & 0.067057 & 0.5194 & 0.302688 \tabularnewline
46 & 0.001456 & 0.0113 & 0.49552 \tabularnewline
47 & 0.001797 & 0.0139 & 0.494471 \tabularnewline
48 & 0.063406 & 0.4911 & 0.31256 \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]-0.001116[/C][C]-0.0086[/C][C]0.496566[/C][/ROW]
[ROW][C]2[/C][C]-0.00057[/C][C]-0.0044[/C][C]0.498247[/C][/ROW]
[ROW][C]3[/C][C]-0.18213[/C][C]-1.4108[/C][C]0.081738[/C][/ROW]
[ROW][C]4[/C][C]-0.000606[/C][C]-0.0047[/C][C]0.498134[/C][/ROW]
[ROW][C]5[/C][C]-0.00064[/C][C]-0.005[/C][C]0.498031[/C][/ROW]
[ROW][C]6[/C][C]0.273699[/C][C]2.1201[/C][C]0.019073[/C][/ROW]
[ROW][C]7[/C][C]-0.000676[/C][C]-0.0052[/C][C]0.497919[/C][/ROW]
[ROW][C]8[/C][C]-0.002852[/C][C]-0.0221[/C][C]0.491224[/C][/ROW]
[ROW][C]9[/C][C]-0.442965[/C][C]-3.4312[/C][C]0.000547[/C][/ROW]
[ROW][C]10[/C][C]-0.002889[/C][C]-0.0224[/C][C]0.491111[/C][/ROW]
[ROW][C]11[/C][C]-0.002858[/C][C]-0.0221[/C][C]0.491206[/C][/ROW]
[ROW][C]12[/C][C]0.115305[/C][C]0.8931[/C][C]0.187674[/C][/ROW]
[ROW][C]13[/C][C]-0.002894[/C][C]-0.0224[/C][C]0.491094[/C][/ROW]
[ROW][C]14[/C][C]-0.002554[/C][C]-0.0198[/C][C]0.492142[/C][/ROW]
[ROW][C]15[/C][C]-0.141169[/C][C]-1.0935[/C][C]0.139275[/C][/ROW]
[ROW][C]16[/C][C]-0.00259[/C][C]-0.0201[/C][C]0.49203[/C][/ROW]
[ROW][C]17[/C][C]0.000861[/C][C]0.0067[/C][C]0.49735[/C][/ROW]
[ROW][C]18[/C][C]0.08073[/C][C]0.6253[/C][C]0.267061[/C][/ROW]
[ROW][C]19[/C][C]0.000824[/C][C]0.0064[/C][C]0.497463[/C][/ROW]
[ROW][C]20[/C][C]0.000684[/C][C]0.0053[/C][C]0.497895[/C][/ROW]
[ROW][C]21[/C][C]-0.21512[/C][C]-1.6663[/C][C]0.050432[/C][/ROW]
[ROW][C]22[/C][C]0.000647[/C][C]0.005[/C][C]0.498008[/C][/ROW]
[ROW][C]23[/C][C]0.000654[/C][C]0.0051[/C][C]0.497987[/C][/ROW]
[ROW][C]24[/C][C]0.112249[/C][C]0.8695[/C][C]0.194026[/C][/ROW]
[ROW][C]25[/C][C]0.000618[/C][C]0.0048[/C][C]0.498099[/C][/ROW]
[ROW][C]26[/C][C]-0.000263[/C][C]-0.002[/C][C]0.499192[/C][/ROW]
[ROW][C]27[/C][C]-0.009913[/C][C]-0.0768[/C][C]0.469525[/C][/ROW]
[ROW][C]28[/C][C]-0.000299[/C][C]-0.0023[/C][C]0.499079[/C][/ROW]
[ROW][C]29[/C][C]-0.000531[/C][C]-0.0041[/C][C]0.498367[/C][/ROW]
[ROW][C]30[/C][C]0.116088[/C][C]0.8992[/C][C]0.186066[/C][/ROW]
[ROW][C]31[/C][C]-0.000567[/C][C]-0.0044[/C][C]0.498255[/C][/ROW]
[ROW][C]32[/C][C]-0.000798[/C][C]-0.0062[/C][C]0.497543[/C][/ROW]
[ROW][C]33[/C][C]-0.168354[/C][C]-1.3041[/C][C]0.098596[/C][/ROW]
[ROW][C]34[/C][C]-0.000835[/C][C]-0.0065[/C][C]0.49743[/C][/ROW]
[ROW][C]35[/C][C]-0.001715[/C][C]-0.0133[/C][C]0.494722[/C][/ROW]
[ROW][C]36[/C][C]-0.116373[/C][C]-0.9014[/C][C]0.185485[/C][/ROW]
[ROW][C]37[/C][C]-0.001752[/C][C]-0.0136[/C][C]0.494609[/C][/ROW]
[ROW][C]38[/C][C]-0.001745[/C][C]-0.0135[/C][C]0.49463[/C][/ROW]
[ROW][C]39[/C][C]-0.117384[/C][C]-0.9093[/C][C]0.183426[/C][/ROW]
[ROW][C]40[/C][C]-0.001782[/C][C]-0.0138[/C][C]0.494518[/C][/ROW]
[ROW][C]41[/C][C]-0.001922[/C][C]-0.0149[/C][C]0.494085[/C][/ROW]
[ROW][C]42[/C][C]0.13893[/C][C]1.0761[/C][C]0.143086[/C][/ROW]
[ROW][C]43[/C][C]-0.001959[/C][C]-0.0152[/C][C]0.493973[/C][/ROW]
[ROW][C]44[/C][C]0.001492[/C][C]0.0116[/C][C]0.495407[/C][/ROW]
[ROW][C]45[/C][C]0.067057[/C][C]0.5194[/C][C]0.302688[/C][/ROW]
[ROW][C]46[/C][C]0.001456[/C][C]0.0113[/C][C]0.49552[/C][/ROW]
[ROW][C]47[/C][C]0.001797[/C][C]0.0139[/C][C]0.494471[/C][/ROW]
[ROW][C]48[/C][C]0.063406[/C][C]0.4911[/C][C]0.31256[/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	-0.001116	-0.0086	0.496566
2	-0.00057	-0.0044	0.498247
3	-0.18213	-1.4108	0.081738
4	-0.000606	-0.0047	0.498134
5	-0.00064	-0.005	0.498031
6	0.273699	2.1201	0.019073
7	-0.000676	-0.0052	0.497919
8	-0.002852	-0.0221	0.491224
9	-0.442965	-3.4312	0.000547
10	-0.002889	-0.0224	0.491111
11	-0.002858	-0.0221	0.491206
12	0.115305	0.8931	0.187674
13	-0.002894	-0.0224	0.491094
14	-0.002554	-0.0198	0.492142
15	-0.141169	-1.0935	0.139275
16	-0.00259	-0.0201	0.49203
17	0.000861	0.0067	0.49735
18	0.08073	0.6253	0.267061
19	0.000824	0.0064	0.497463
20	0.000684	0.0053	0.497895
21	-0.21512	-1.6663	0.050432
22	0.000647	0.005	0.498008
23	0.000654	0.0051	0.497987
24	0.112249	0.8695	0.194026
25	0.000618	0.0048	0.498099
26	-0.000263	-0.002	0.499192
27	-0.009913	-0.0768	0.469525
28	-0.000299	-0.0023	0.499079
29	-0.000531	-0.0041	0.498367
30	0.116088	0.8992	0.186066
31	-0.000567	-0.0044	0.498255
32	-0.000798	-0.0062	0.497543
33	-0.168354	-1.3041	0.098596
34	-0.000835	-0.0065	0.49743
35	-0.001715	-0.0133	0.494722
36	-0.116373	-0.9014	0.185485
37	-0.001752	-0.0136	0.494609
38	-0.001745	-0.0135	0.49463
39	-0.117384	-0.9093	0.183426
40	-0.001782	-0.0138	0.494518
41	-0.001922	-0.0149	0.494085
42	0.13893	1.0761	0.143086
43	-0.001959	-0.0152	0.493973
44	0.001492	0.0116	0.495407
45	0.067057	0.5194	0.302688
46	0.001456	0.0113	0.49552
47	0.001797	0.0139	0.494471
48	0.063406	0.4911	0.31256

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.001116	-0.0086	0.496566
2	-0.000571	-0.0044	0.498243
3	-0.182132	-1.4108	0.081736
4	-0.001068	-0.0083	0.496714
5	-0.000917	-0.0071	0.497178
6	0.248777	1.927	0.029358
7	-0.000341	-0.0026	0.498951
8	-0.002996	-0.0232	0.490781
9	-0.397159	-3.0764	0.001577
10	-0.005195	-0.0402	0.484017
11	-0.004432	-0.0343	0.486363
12	-0.035508	-0.275	0.392113
13	-0.004808	-0.0372	0.485207
14	-0.002973	-0.023	0.490852
15	0.074168	0.5745	0.283888
16	-0.002356	-0.0182	0.49275
17	-0.000625	-0.0048	0.498078
18	-0.150127	-1.1629	0.124741
19	-0.002046	-0.0158	0.493703
20	-0.001604	-0.0124	0.495065
21	-0.228723	-1.7717	0.040763
22	-0.004151	-0.0322	0.487227
23	-0.003627	-0.0281	0.488839
24	0.108804	0.8428	0.201346
25	-0.002447	-0.019	0.492469
26	-0.0014	-0.0108	0.495692
27	0.080221	0.6214	0.268349
28	-0.000587	-0.0045	0.498192
29	-0.002612	-0.0202	0.491962
30	-0.130238	-1.0088	0.158557
31	-0.004186	-0.0324	0.487121
32	-0.003851	-0.0298	0.488152
33	-0.16596	-1.2855	0.101775
34	-0.006276	-0.0486	0.480694
35	-0.004021	-0.0311	0.487627
36	-0.139996	-1.0844	0.141262
37	-0.006504	-0.0504	0.479995
38	-0.005352	-0.0415	0.483534
39	-0.108334	-0.8392	0.202358
40	-0.007633	-0.0591	0.476525
41	-0.009533	-0.0738	0.47069
42	0.037722	0.2922	0.385572
43	-0.00892	-0.0691	0.472572
44	-0.006125	-0.0474	0.481158
45	0.029656	0.2297	0.409549
46	-0.005648	-0.0437	0.482625
47	-0.00339	-0.0263	0.489569
48	-0.068836	-0.5332	0.297932

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.001116 & -0.0086 & 0.496566 \tabularnewline
2 & -0.000571 & -0.0044 & 0.498243 \tabularnewline
3 & -0.182132 & -1.4108 & 0.081736 \tabularnewline
4 & -0.001068 & -0.0083 & 0.496714 \tabularnewline
5 & -0.000917 & -0.0071 & 0.497178 \tabularnewline
6 & 0.248777 & 1.927 & 0.029358 \tabularnewline
7 & -0.000341 & -0.0026 & 0.498951 \tabularnewline
8 & -0.002996 & -0.0232 & 0.490781 \tabularnewline
9 & -0.397159 & -3.0764 & 0.001577 \tabularnewline
10 & -0.005195 & -0.0402 & 0.484017 \tabularnewline
11 & -0.004432 & -0.0343 & 0.486363 \tabularnewline
12 & -0.035508 & -0.275 & 0.392113 \tabularnewline
13 & -0.004808 & -0.0372 & 0.485207 \tabularnewline
14 & -0.002973 & -0.023 & 0.490852 \tabularnewline
15 & 0.074168 & 0.5745 & 0.283888 \tabularnewline
16 & -0.002356 & -0.0182 & 0.49275 \tabularnewline
17 & -0.000625 & -0.0048 & 0.498078 \tabularnewline
18 & -0.150127 & -1.1629 & 0.124741 \tabularnewline
19 & -0.002046 & -0.0158 & 0.493703 \tabularnewline
20 & -0.001604 & -0.0124 & 0.495065 \tabularnewline
21 & -0.228723 & -1.7717 & 0.040763 \tabularnewline
22 & -0.004151 & -0.0322 & 0.487227 \tabularnewline
23 & -0.003627 & -0.0281 & 0.488839 \tabularnewline
24 & 0.108804 & 0.8428 & 0.201346 \tabularnewline
25 & -0.002447 & -0.019 & 0.492469 \tabularnewline
26 & -0.0014 & -0.0108 & 0.495692 \tabularnewline
27 & 0.080221 & 0.6214 & 0.268349 \tabularnewline
28 & -0.000587 & -0.0045 & 0.498192 \tabularnewline
29 & -0.002612 & -0.0202 & 0.491962 \tabularnewline
30 & -0.130238 & -1.0088 & 0.158557 \tabularnewline
31 & -0.004186 & -0.0324 & 0.487121 \tabularnewline
32 & -0.003851 & -0.0298 & 0.488152 \tabularnewline
33 & -0.16596 & -1.2855 & 0.101775 \tabularnewline
34 & -0.006276 & -0.0486 & 0.480694 \tabularnewline
35 & -0.004021 & -0.0311 & 0.487627 \tabularnewline
36 & -0.139996 & -1.0844 & 0.141262 \tabularnewline
37 & -0.006504 & -0.0504 & 0.479995 \tabularnewline
38 & -0.005352 & -0.0415 & 0.483534 \tabularnewline
39 & -0.108334 & -0.8392 & 0.202358 \tabularnewline
40 & -0.007633 & -0.0591 & 0.476525 \tabularnewline
41 & -0.009533 & -0.0738 & 0.47069 \tabularnewline
42 & 0.037722 & 0.2922 & 0.385572 \tabularnewline
43 & -0.00892 & -0.0691 & 0.472572 \tabularnewline
44 & -0.006125 & -0.0474 & 0.481158 \tabularnewline
45 & 0.029656 & 0.2297 & 0.409549 \tabularnewline
46 & -0.005648 & -0.0437 & 0.482625 \tabularnewline
47 & -0.00339 & -0.0263 & 0.489569 \tabularnewline
48 & -0.068836 & -0.5332 & 0.297932 \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]-0.001116[/C][C]-0.0086[/C][C]0.496566[/C][/ROW]
[ROW][C]2[/C][C]-0.000571[/C][C]-0.0044[/C][C]0.498243[/C][/ROW]
[ROW][C]3[/C][C]-0.182132[/C][C]-1.4108[/C][C]0.081736[/C][/ROW]
[ROW][C]4[/C][C]-0.001068[/C][C]-0.0083[/C][C]0.496714[/C][/ROW]
[ROW][C]5[/C][C]-0.000917[/C][C]-0.0071[/C][C]0.497178[/C][/ROW]
[ROW][C]6[/C][C]0.248777[/C][C]1.927[/C][C]0.029358[/C][/ROW]
[ROW][C]7[/C][C]-0.000341[/C][C]-0.0026[/C][C]0.498951[/C][/ROW]
[ROW][C]8[/C][C]-0.002996[/C][C]-0.0232[/C][C]0.490781[/C][/ROW]
[ROW][C]9[/C][C]-0.397159[/C][C]-3.0764[/C][C]0.001577[/C][/ROW]
[ROW][C]10[/C][C]-0.005195[/C][C]-0.0402[/C][C]0.484017[/C][/ROW]
[ROW][C]11[/C][C]-0.004432[/C][C]-0.0343[/C][C]0.486363[/C][/ROW]
[ROW][C]12[/C][C]-0.035508[/C][C]-0.275[/C][C]0.392113[/C][/ROW]
[ROW][C]13[/C][C]-0.004808[/C][C]-0.0372[/C][C]0.485207[/C][/ROW]
[ROW][C]14[/C][C]-0.002973[/C][C]-0.023[/C][C]0.490852[/C][/ROW]
[ROW][C]15[/C][C]0.074168[/C][C]0.5745[/C][C]0.283888[/C][/ROW]
[ROW][C]16[/C][C]-0.002356[/C][C]-0.0182[/C][C]0.49275[/C][/ROW]
[ROW][C]17[/C][C]-0.000625[/C][C]-0.0048[/C][C]0.498078[/C][/ROW]
[ROW][C]18[/C][C]-0.150127[/C][C]-1.1629[/C][C]0.124741[/C][/ROW]
[ROW][C]19[/C][C]-0.002046[/C][C]-0.0158[/C][C]0.493703[/C][/ROW]
[ROW][C]20[/C][C]-0.001604[/C][C]-0.0124[/C][C]0.495065[/C][/ROW]
[ROW][C]21[/C][C]-0.228723[/C][C]-1.7717[/C][C]0.040763[/C][/ROW]
[ROW][C]22[/C][C]-0.004151[/C][C]-0.0322[/C][C]0.487227[/C][/ROW]
[ROW][C]23[/C][C]-0.003627[/C][C]-0.0281[/C][C]0.488839[/C][/ROW]
[ROW][C]24[/C][C]0.108804[/C][C]0.8428[/C][C]0.201346[/C][/ROW]
[ROW][C]25[/C][C]-0.002447[/C][C]-0.019[/C][C]0.492469[/C][/ROW]
[ROW][C]26[/C][C]-0.0014[/C][C]-0.0108[/C][C]0.495692[/C][/ROW]
[ROW][C]27[/C][C]0.080221[/C][C]0.6214[/C][C]0.268349[/C][/ROW]
[ROW][C]28[/C][C]-0.000587[/C][C]-0.0045[/C][C]0.498192[/C][/ROW]
[ROW][C]29[/C][C]-0.002612[/C][C]-0.0202[/C][C]0.491962[/C][/ROW]
[ROW][C]30[/C][C]-0.130238[/C][C]-1.0088[/C][C]0.158557[/C][/ROW]
[ROW][C]31[/C][C]-0.004186[/C][C]-0.0324[/C][C]0.487121[/C][/ROW]
[ROW][C]32[/C][C]-0.003851[/C][C]-0.0298[/C][C]0.488152[/C][/ROW]
[ROW][C]33[/C][C]-0.16596[/C][C]-1.2855[/C][C]0.101775[/C][/ROW]
[ROW][C]34[/C][C]-0.006276[/C][C]-0.0486[/C][C]0.480694[/C][/ROW]
[ROW][C]35[/C][C]-0.004021[/C][C]-0.0311[/C][C]0.487627[/C][/ROW]
[ROW][C]36[/C][C]-0.139996[/C][C]-1.0844[/C][C]0.141262[/C][/ROW]
[ROW][C]37[/C][C]-0.006504[/C][C]-0.0504[/C][C]0.479995[/C][/ROW]
[ROW][C]38[/C][C]-0.005352[/C][C]-0.0415[/C][C]0.483534[/C][/ROW]
[ROW][C]39[/C][C]-0.108334[/C][C]-0.8392[/C][C]0.202358[/C][/ROW]
[ROW][C]40[/C][C]-0.007633[/C][C]-0.0591[/C][C]0.476525[/C][/ROW]
[ROW][C]41[/C][C]-0.009533[/C][C]-0.0738[/C][C]0.47069[/C][/ROW]
[ROW][C]42[/C][C]0.037722[/C][C]0.2922[/C][C]0.385572[/C][/ROW]
[ROW][C]43[/C][C]-0.00892[/C][C]-0.0691[/C][C]0.472572[/C][/ROW]
[ROW][C]44[/C][C]-0.006125[/C][C]-0.0474[/C][C]0.481158[/C][/ROW]
[ROW][C]45[/C][C]0.029656[/C][C]0.2297[/C][C]0.409549[/C][/ROW]
[ROW][C]46[/C][C]-0.005648[/C][C]-0.0437[/C][C]0.482625[/C][/ROW]
[ROW][C]47[/C][C]-0.00339[/C][C]-0.0263[/C][C]0.489569[/C][/ROW]
[ROW][C]48[/C][C]-0.068836[/C][C]-0.5332[/C][C]0.297932[/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	-0.001116	-0.0086	0.496566
2	-0.000571	-0.0044	0.498243
3	-0.182132	-1.4108	0.081736
4	-0.001068	-0.0083	0.496714
5	-0.000917	-0.0071	0.497178
6	0.248777	1.927	0.029358
7	-0.000341	-0.0026	0.498951
8	-0.002996	-0.0232	0.490781
9	-0.397159	-3.0764	0.001577
10	-0.005195	-0.0402	0.484017
11	-0.004432	-0.0343	0.486363
12	-0.035508	-0.275	0.392113
13	-0.004808	-0.0372	0.485207
14	-0.002973	-0.023	0.490852
15	0.074168	0.5745	0.283888
16	-0.002356	-0.0182	0.49275
17	-0.000625	-0.0048	0.498078
18	-0.150127	-1.1629	0.124741
19	-0.002046	-0.0158	0.493703
20	-0.001604	-0.0124	0.495065
21	-0.228723	-1.7717	0.040763
22	-0.004151	-0.0322	0.487227
23	-0.003627	-0.0281	0.488839
24	0.108804	0.8428	0.201346
25	-0.002447	-0.019	0.492469
26	-0.0014	-0.0108	0.495692
27	0.080221	0.6214	0.268349
28	-0.000587	-0.0045	0.498192
29	-0.002612	-0.0202	0.491962
30	-0.130238	-1.0088	0.158557
31	-0.004186	-0.0324	0.487121
32	-0.003851	-0.0298	0.488152
33	-0.16596	-1.2855	0.101775
34	-0.006276	-0.0486	0.480694
35	-0.004021	-0.0311	0.487627
36	-0.139996	-1.0844	0.141262
37	-0.006504	-0.0504	0.479995
38	-0.005352	-0.0415	0.483534
39	-0.108334	-0.8392	0.202358
40	-0.007633	-0.0591	0.476525
41	-0.009533	-0.0738	0.47069
42	0.037722	0.2922	0.385572
43	-0.00892	-0.0691	0.472572
44	-0.006125	-0.0474	0.481158
45	0.029656	0.2297	0.409549
46	-0.005648	-0.0437	0.482625
47	-0.00339	-0.0263	0.489569
48	-0.068836	-0.5332	0.297932

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