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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Sat, 12 Mar 2016 19:40:50 +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/2016/Mar/12/t1457811670b722d4nedfc76y9.htm/, Retrieved Sun, 05 May 2024 17:25:52 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293947, Retrieved Sun, 05 May 2024 17:25:52 +0000

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-     [Mean Plot] [] [2016-03-08 09:10:21] [b645833c54bd2f130859241aaeaa0537]
- RMPD  [(Partial) Autocorrelation Function] [] [2016-03-12 19:32:06] [b645833c54bd2f130859241aaeaa0537]
- R PD      [(Partial) Autocorrelation Function] [] [2016-03-12 19:40:50] [d992272e6b10691b6ed213356daa79d7] [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	'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293947&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293947&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.011231	-0.1225	0.45135
2	-0.011318	-0.1235	0.450975
3	-0.011405	-0.1244	0.450601
4	-0.011491	-0.1254	0.450226
5	-0.011578	-0.1263	0.449852
6	-0.011665	-0.1273	0.449478
7	-0.011752	-0.1282	0.449103
8	-0.011839	-0.1291	0.448729
9	-0.011926	-0.1301	0.448355
10	-0.012013	-0.131	0.447981
11	-0.0121	-0.132	0.447607
12	0.184961	2.0177	0.022937
13	-0.01762	-0.1922	0.423952
14	-0.017707	-0.1932	0.423582
15	-0.017794	-0.1941	0.423212
16	-0.017881	-0.1951	0.422841
17	-0.017968	-0.196	0.422471
18	-0.018054	-0.197	0.422101
19	-0.018141	-0.1979	0.421731
20	-0.018228	-0.1988	0.421361
21	-0.018315	-0.1998	0.420991
22	-0.018402	-0.2007	0.420621
23	-0.016586	-0.1809	0.428365
24	-0.245184	-2.6746	0.004267
25	-0.013525	-0.1475	0.441476
26	-0.013612	-0.1485	0.441103
27	-0.013699	-0.1494	0.44073
28	-0.013786	-0.1504	0.440357
29	-0.013873	-0.1513	0.439984
30	-0.01396	-0.1523	0.439611
31	-0.014047	-0.1532	0.439238
32	-0.014134	-0.1542	0.438865
33	-0.01422	-0.1551	0.438492
34	-0.014307	-0.1561	0.438119
35	-0.012667	-0.1382	0.445165
36	0.171874	1.8749	0.031628
37	-0.007341	-0.0801	0.468156
38	-0.007427	-0.081	0.46778
39	-0.007514	-0.082	0.467404
40	-0.007601	-0.0829	0.467027
41	-0.007688	-0.0839	0.466651
42	-0.007775	-0.0848	0.466275
43	-0.007862	-0.0858	0.465899
44	-0.007949	-0.0867	0.465523
45	-0.008036	-0.0877	0.465147
46	-0.008123	-0.0886	0.464772
47	-0.00492	-0.0537	0.478643
48	0.191622	2.0904	0.019358

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.011231 & -0.1225 & 0.45135 \tabularnewline
2 & -0.011318 & -0.1235 & 0.450975 \tabularnewline
3 & -0.011405 & -0.1244 & 0.450601 \tabularnewline
4 & -0.011491 & -0.1254 & 0.450226 \tabularnewline
5 & -0.011578 & -0.1263 & 0.449852 \tabularnewline
6 & -0.011665 & -0.1273 & 0.449478 \tabularnewline
7 & -0.011752 & -0.1282 & 0.449103 \tabularnewline
8 & -0.011839 & -0.1291 & 0.448729 \tabularnewline
9 & -0.011926 & -0.1301 & 0.448355 \tabularnewline
10 & -0.012013 & -0.131 & 0.447981 \tabularnewline
11 & -0.0121 & -0.132 & 0.447607 \tabularnewline
12 & 0.184961 & 2.0177 & 0.022937 \tabularnewline
13 & -0.01762 & -0.1922 & 0.423952 \tabularnewline
14 & -0.017707 & -0.1932 & 0.423582 \tabularnewline
15 & -0.017794 & -0.1941 & 0.423212 \tabularnewline
16 & -0.017881 & -0.1951 & 0.422841 \tabularnewline
17 & -0.017968 & -0.196 & 0.422471 \tabularnewline
18 & -0.018054 & -0.197 & 0.422101 \tabularnewline
19 & -0.018141 & -0.1979 & 0.421731 \tabularnewline
20 & -0.018228 & -0.1988 & 0.421361 \tabularnewline
21 & -0.018315 & -0.1998 & 0.420991 \tabularnewline
22 & -0.018402 & -0.2007 & 0.420621 \tabularnewline
23 & -0.016586 & -0.1809 & 0.428365 \tabularnewline
24 & -0.245184 & -2.6746 & 0.004267 \tabularnewline
25 & -0.013525 & -0.1475 & 0.441476 \tabularnewline
26 & -0.013612 & -0.1485 & 0.441103 \tabularnewline
27 & -0.013699 & -0.1494 & 0.44073 \tabularnewline
28 & -0.013786 & -0.1504 & 0.440357 \tabularnewline
29 & -0.013873 & -0.1513 & 0.439984 \tabularnewline
30 & -0.01396 & -0.1523 & 0.439611 \tabularnewline
31 & -0.014047 & -0.1532 & 0.439238 \tabularnewline
32 & -0.014134 & -0.1542 & 0.438865 \tabularnewline
33 & -0.01422 & -0.1551 & 0.438492 \tabularnewline
34 & -0.014307 & -0.1561 & 0.438119 \tabularnewline
35 & -0.012667 & -0.1382 & 0.445165 \tabularnewline
36 & 0.171874 & 1.8749 & 0.031628 \tabularnewline
37 & -0.007341 & -0.0801 & 0.468156 \tabularnewline
38 & -0.007427 & -0.081 & 0.46778 \tabularnewline
39 & -0.007514 & -0.082 & 0.467404 \tabularnewline
40 & -0.007601 & -0.0829 & 0.467027 \tabularnewline
41 & -0.007688 & -0.0839 & 0.466651 \tabularnewline
42 & -0.007775 & -0.0848 & 0.466275 \tabularnewline
43 & -0.007862 & -0.0858 & 0.465899 \tabularnewline
44 & -0.007949 & -0.0867 & 0.465523 \tabularnewline
45 & -0.008036 & -0.0877 & 0.465147 \tabularnewline
46 & -0.008123 & -0.0886 & 0.464772 \tabularnewline
47 & -0.00492 & -0.0537 & 0.478643 \tabularnewline
48 & 0.191622 & 2.0904 & 0.019358 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293947&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]-0.011231[/C][C]-0.1225[/C][C]0.45135[/C][/ROW]
[ROW][C]2[/C][C]-0.011318[/C][C]-0.1235[/C][C]0.450975[/C][/ROW]
[ROW][C]3[/C][C]-0.011405[/C][C]-0.1244[/C][C]0.450601[/C][/ROW]
[ROW][C]4[/C][C]-0.011491[/C][C]-0.1254[/C][C]0.450226[/C][/ROW]
[ROW][C]5[/C][C]-0.011578[/C][C]-0.1263[/C][C]0.449852[/C][/ROW]
[ROW][C]6[/C][C]-0.011665[/C][C]-0.1273[/C][C]0.449478[/C][/ROW]
[ROW][C]7[/C][C]-0.011752[/C][C]-0.1282[/C][C]0.449103[/C][/ROW]
[ROW][C]8[/C][C]-0.011839[/C][C]-0.1291[/C][C]0.448729[/C][/ROW]
[ROW][C]9[/C][C]-0.011926[/C][C]-0.1301[/C][C]0.448355[/C][/ROW]
[ROW][C]10[/C][C]-0.012013[/C][C]-0.131[/C][C]0.447981[/C][/ROW]
[ROW][C]11[/C][C]-0.0121[/C][C]-0.132[/C][C]0.447607[/C][/ROW]
[ROW][C]12[/C][C]0.184961[/C][C]2.0177[/C][C]0.022937[/C][/ROW]
[ROW][C]13[/C][C]-0.01762[/C][C]-0.1922[/C][C]0.423952[/C][/ROW]
[ROW][C]14[/C][C]-0.017707[/C][C]-0.1932[/C][C]0.423582[/C][/ROW]
[ROW][C]15[/C][C]-0.017794[/C][C]-0.1941[/C][C]0.423212[/C][/ROW]
[ROW][C]16[/C][C]-0.017881[/C][C]-0.1951[/C][C]0.422841[/C][/ROW]
[ROW][C]17[/C][C]-0.017968[/C][C]-0.196[/C][C]0.422471[/C][/ROW]
[ROW][C]18[/C][C]-0.018054[/C][C]-0.197[/C][C]0.422101[/C][/ROW]
[ROW][C]19[/C][C]-0.018141[/C][C]-0.1979[/C][C]0.421731[/C][/ROW]
[ROW][C]20[/C][C]-0.018228[/C][C]-0.1988[/C][C]0.421361[/C][/ROW]
[ROW][C]21[/C][C]-0.018315[/C][C]-0.1998[/C][C]0.420991[/C][/ROW]
[ROW][C]22[/C][C]-0.018402[/C][C]-0.2007[/C][C]0.420621[/C][/ROW]
[ROW][C]23[/C][C]-0.016586[/C][C]-0.1809[/C][C]0.428365[/C][/ROW]
[ROW][C]24[/C][C]-0.245184[/C][C]-2.6746[/C][C]0.004267[/C][/ROW]
[ROW][C]25[/C][C]-0.013525[/C][C]-0.1475[/C][C]0.441476[/C][/ROW]
[ROW][C]26[/C][C]-0.013612[/C][C]-0.1485[/C][C]0.441103[/C][/ROW]
[ROW][C]27[/C][C]-0.013699[/C][C]-0.1494[/C][C]0.44073[/C][/ROW]
[ROW][C]28[/C][C]-0.013786[/C][C]-0.1504[/C][C]0.440357[/C][/ROW]
[ROW][C]29[/C][C]-0.013873[/C][C]-0.1513[/C][C]0.439984[/C][/ROW]
[ROW][C]30[/C][C]-0.01396[/C][C]-0.1523[/C][C]0.439611[/C][/ROW]
[ROW][C]31[/C][C]-0.014047[/C][C]-0.1532[/C][C]0.439238[/C][/ROW]
[ROW][C]32[/C][C]-0.014134[/C][C]-0.1542[/C][C]0.438865[/C][/ROW]
[ROW][C]33[/C][C]-0.01422[/C][C]-0.1551[/C][C]0.438492[/C][/ROW]
[ROW][C]34[/C][C]-0.014307[/C][C]-0.1561[/C][C]0.438119[/C][/ROW]
[ROW][C]35[/C][C]-0.012667[/C][C]-0.1382[/C][C]0.445165[/C][/ROW]
[ROW][C]36[/C][C]0.171874[/C][C]1.8749[/C][C]0.031628[/C][/ROW]
[ROW][C]37[/C][C]-0.007341[/C][C]-0.0801[/C][C]0.468156[/C][/ROW]
[ROW][C]38[/C][C]-0.007427[/C][C]-0.081[/C][C]0.46778[/C][/ROW]
[ROW][C]39[/C][C]-0.007514[/C][C]-0.082[/C][C]0.467404[/C][/ROW]
[ROW][C]40[/C][C]-0.007601[/C][C]-0.0829[/C][C]0.467027[/C][/ROW]
[ROW][C]41[/C][C]-0.007688[/C][C]-0.0839[/C][C]0.466651[/C][/ROW]
[ROW][C]42[/C][C]-0.007775[/C][C]-0.0848[/C][C]0.466275[/C][/ROW]
[ROW][C]43[/C][C]-0.007862[/C][C]-0.0858[/C][C]0.465899[/C][/ROW]
[ROW][C]44[/C][C]-0.007949[/C][C]-0.0867[/C][C]0.465523[/C][/ROW]
[ROW][C]45[/C][C]-0.008036[/C][C]-0.0877[/C][C]0.465147[/C][/ROW]
[ROW][C]46[/C][C]-0.008123[/C][C]-0.0886[/C][C]0.464772[/C][/ROW]
[ROW][C]47[/C][C]-0.00492[/C][C]-0.0537[/C][C]0.478643[/C][/ROW]
[ROW][C]48[/C][C]0.191622[/C][C]2.0904[/C][C]0.019358[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293947&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	-0.011231	-0.1225	0.45135
2	-0.011318	-0.1235	0.450975
3	-0.011405	-0.1244	0.450601
4	-0.011491	-0.1254	0.450226
5	-0.011578	-0.1263	0.449852
6	-0.011665	-0.1273	0.449478
7	-0.011752	-0.1282	0.449103
8	-0.011839	-0.1291	0.448729
9	-0.011926	-0.1301	0.448355
10	-0.012013	-0.131	0.447981
11	-0.0121	-0.132	0.447607
12	0.184961	2.0177	0.022937
13	-0.01762	-0.1922	0.423952
14	-0.017707	-0.1932	0.423582
15	-0.017794	-0.1941	0.423212
16	-0.017881	-0.1951	0.422841
17	-0.017968	-0.196	0.422471
18	-0.018054	-0.197	0.422101
19	-0.018141	-0.1979	0.421731
20	-0.018228	-0.1988	0.421361
21	-0.018315	-0.1998	0.420991
22	-0.018402	-0.2007	0.420621
23	-0.016586	-0.1809	0.428365
24	-0.245184	-2.6746	0.004267
25	-0.013525	-0.1475	0.441476
26	-0.013612	-0.1485	0.441103
27	-0.013699	-0.1494	0.44073
28	-0.013786	-0.1504	0.440357
29	-0.013873	-0.1513	0.439984
30	-0.01396	-0.1523	0.439611
31	-0.014047	-0.1532	0.439238
32	-0.014134	-0.1542	0.438865
33	-0.01422	-0.1551	0.438492
34	-0.014307	-0.1561	0.438119
35	-0.012667	-0.1382	0.445165
36	0.171874	1.8749	0.031628
37	-0.007341	-0.0801	0.468156
38	-0.007427	-0.081	0.46778
39	-0.007514	-0.082	0.467404
40	-0.007601	-0.0829	0.467027
41	-0.007688	-0.0839	0.466651
42	-0.007775	-0.0848	0.466275
43	-0.007862	-0.0858	0.465899
44	-0.007949	-0.0867	0.465523
45	-0.008036	-0.0877	0.465147
46	-0.008123	-0.0886	0.464772
47	-0.00492	-0.0537	0.478643
48	0.191622	2.0904	0.019358

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.011231	-0.1225	0.45135
2	-0.011445	-0.1249	0.450425
3	-0.011665	-0.1272	0.44948
4	-0.011889	-0.1297	0.448513
5	-0.012119	-0.1322	0.447523
6	-0.012355	-0.1348	0.446509
7	-0.012596	-0.1374	0.44547
8	-0.012844	-0.1401	0.444406
9	-0.013098	-0.1429	0.443314
10	-0.013358	-0.1457	0.442195
11	-0.013626	-0.1486	0.441045
12	0.183581	2.0026	0.023745
13	-0.015471	-0.1688	0.433133
14	-0.015712	-0.1714	0.432103
15	-0.015961	-0.1741	0.431037
16	-0.016219	-0.1769	0.429932
17	-0.016487	-0.1798	0.428789
18	-0.016764	-0.1829	0.427603
19	-0.017052	-0.186	0.426375
20	-0.01735	-0.1893	0.425101
21	-0.01766	-0.1927	0.42378
22	-0.017982	-0.1962	0.422409
23	-0.016338	-0.1782	0.429424
24	-0.294218	-3.2095	0.000855
25	-0.02027	-0.2211	0.412689
26	-0.021003	-0.2291	0.409584
27	-0.021598	-0.2356	0.407071
28	-0.022219	-0.2424	0.404452
29	-0.022868	-0.2495	0.401719
30	-0.023546	-0.2569	0.398865
31	-0.024257	-0.2646	0.395881
32	-0.025004	-0.2728	0.392756
33	-0.025788	-0.2813	0.38948
34	-0.026612	-0.2903	0.386045
35	-0.026593	-0.2901	0.386122
36	0.311504	3.3981	0.000462
37	-0.012892	-0.1406	0.444198
38	-0.012696	-0.1385	0.445043
39	-0.012831	-0.14	0.444459
40	-0.01297	-0.1415	0.443861
41	-0.013113	-0.143	0.443249
42	-0.013259	-0.1446	0.442621
43	-0.013408	-0.1463	0.441978
44	-0.013562	-0.1479	0.441319
45	-0.013719	-0.1497	0.440643
46	-0.013885	-0.1515	0.439932
47	-0.009359	-0.1021	0.459427
48	-0.026732	-0.2916	0.385545

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.011231 & -0.1225 & 0.45135 \tabularnewline
2 & -0.011445 & -0.1249 & 0.450425 \tabularnewline
3 & -0.011665 & -0.1272 & 0.44948 \tabularnewline
4 & -0.011889 & -0.1297 & 0.448513 \tabularnewline
5 & -0.012119 & -0.1322 & 0.447523 \tabularnewline
6 & -0.012355 & -0.1348 & 0.446509 \tabularnewline
7 & -0.012596 & -0.1374 & 0.44547 \tabularnewline
8 & -0.012844 & -0.1401 & 0.444406 \tabularnewline
9 & -0.013098 & -0.1429 & 0.443314 \tabularnewline
10 & -0.013358 & -0.1457 & 0.442195 \tabularnewline
11 & -0.013626 & -0.1486 & 0.441045 \tabularnewline
12 & 0.183581 & 2.0026 & 0.023745 \tabularnewline
13 & -0.015471 & -0.1688 & 0.433133 \tabularnewline
14 & -0.015712 & -0.1714 & 0.432103 \tabularnewline
15 & -0.015961 & -0.1741 & 0.431037 \tabularnewline
16 & -0.016219 & -0.1769 & 0.429932 \tabularnewline
17 & -0.016487 & -0.1798 & 0.428789 \tabularnewline
18 & -0.016764 & -0.1829 & 0.427603 \tabularnewline
19 & -0.017052 & -0.186 & 0.426375 \tabularnewline
20 & -0.01735 & -0.1893 & 0.425101 \tabularnewline
21 & -0.01766 & -0.1927 & 0.42378 \tabularnewline
22 & -0.017982 & -0.1962 & 0.422409 \tabularnewline
23 & -0.016338 & -0.1782 & 0.429424 \tabularnewline
24 & -0.294218 & -3.2095 & 0.000855 \tabularnewline
25 & -0.02027 & -0.2211 & 0.412689 \tabularnewline
26 & -0.021003 & -0.2291 & 0.409584 \tabularnewline
27 & -0.021598 & -0.2356 & 0.407071 \tabularnewline
28 & -0.022219 & -0.2424 & 0.404452 \tabularnewline
29 & -0.022868 & -0.2495 & 0.401719 \tabularnewline
30 & -0.023546 & -0.2569 & 0.398865 \tabularnewline
31 & -0.024257 & -0.2646 & 0.395881 \tabularnewline
32 & -0.025004 & -0.2728 & 0.392756 \tabularnewline
33 & -0.025788 & -0.2813 & 0.38948 \tabularnewline
34 & -0.026612 & -0.2903 & 0.386045 \tabularnewline
35 & -0.026593 & -0.2901 & 0.386122 \tabularnewline
36 & 0.311504 & 3.3981 & 0.000462 \tabularnewline
37 & -0.012892 & -0.1406 & 0.444198 \tabularnewline
38 & -0.012696 & -0.1385 & 0.445043 \tabularnewline
39 & -0.012831 & -0.14 & 0.444459 \tabularnewline
40 & -0.01297 & -0.1415 & 0.443861 \tabularnewline
41 & -0.013113 & -0.143 & 0.443249 \tabularnewline
42 & -0.013259 & -0.1446 & 0.442621 \tabularnewline
43 & -0.013408 & -0.1463 & 0.441978 \tabularnewline
44 & -0.013562 & -0.1479 & 0.441319 \tabularnewline
45 & -0.013719 & -0.1497 & 0.440643 \tabularnewline
46 & -0.013885 & -0.1515 & 0.439932 \tabularnewline
47 & -0.009359 & -0.1021 & 0.459427 \tabularnewline
48 & -0.026732 & -0.2916 & 0.385545 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293947&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]-0.011231[/C][C]-0.1225[/C][C]0.45135[/C][/ROW]
[ROW][C]2[/C][C]-0.011445[/C][C]-0.1249[/C][C]0.450425[/C][/ROW]
[ROW][C]3[/C][C]-0.011665[/C][C]-0.1272[/C][C]0.44948[/C][/ROW]
[ROW][C]4[/C][C]-0.011889[/C][C]-0.1297[/C][C]0.448513[/C][/ROW]
[ROW][C]5[/C][C]-0.012119[/C][C]-0.1322[/C][C]0.447523[/C][/ROW]
[ROW][C]6[/C][C]-0.012355[/C][C]-0.1348[/C][C]0.446509[/C][/ROW]
[ROW][C]7[/C][C]-0.012596[/C][C]-0.1374[/C][C]0.44547[/C][/ROW]
[ROW][C]8[/C][C]-0.012844[/C][C]-0.1401[/C][C]0.444406[/C][/ROW]
[ROW][C]9[/C][C]-0.013098[/C][C]-0.1429[/C][C]0.443314[/C][/ROW]
[ROW][C]10[/C][C]-0.013358[/C][C]-0.1457[/C][C]0.442195[/C][/ROW]
[ROW][C]11[/C][C]-0.013626[/C][C]-0.1486[/C][C]0.441045[/C][/ROW]
[ROW][C]12[/C][C]0.183581[/C][C]2.0026[/C][C]0.023745[/C][/ROW]
[ROW][C]13[/C][C]-0.015471[/C][C]-0.1688[/C][C]0.433133[/C][/ROW]
[ROW][C]14[/C][C]-0.015712[/C][C]-0.1714[/C][C]0.432103[/C][/ROW]
[ROW][C]15[/C][C]-0.015961[/C][C]-0.1741[/C][C]0.431037[/C][/ROW]
[ROW][C]16[/C][C]-0.016219[/C][C]-0.1769[/C][C]0.429932[/C][/ROW]
[ROW][C]17[/C][C]-0.016487[/C][C]-0.1798[/C][C]0.428789[/C][/ROW]
[ROW][C]18[/C][C]-0.016764[/C][C]-0.1829[/C][C]0.427603[/C][/ROW]
[ROW][C]19[/C][C]-0.017052[/C][C]-0.186[/C][C]0.426375[/C][/ROW]
[ROW][C]20[/C][C]-0.01735[/C][C]-0.1893[/C][C]0.425101[/C][/ROW]
[ROW][C]21[/C][C]-0.01766[/C][C]-0.1927[/C][C]0.42378[/C][/ROW]
[ROW][C]22[/C][C]-0.017982[/C][C]-0.1962[/C][C]0.422409[/C][/ROW]
[ROW][C]23[/C][C]-0.016338[/C][C]-0.1782[/C][C]0.429424[/C][/ROW]
[ROW][C]24[/C][C]-0.294218[/C][C]-3.2095[/C][C]0.000855[/C][/ROW]
[ROW][C]25[/C][C]-0.02027[/C][C]-0.2211[/C][C]0.412689[/C][/ROW]
[ROW][C]26[/C][C]-0.021003[/C][C]-0.2291[/C][C]0.409584[/C][/ROW]
[ROW][C]27[/C][C]-0.021598[/C][C]-0.2356[/C][C]0.407071[/C][/ROW]
[ROW][C]28[/C][C]-0.022219[/C][C]-0.2424[/C][C]0.404452[/C][/ROW]
[ROW][C]29[/C][C]-0.022868[/C][C]-0.2495[/C][C]0.401719[/C][/ROW]
[ROW][C]30[/C][C]-0.023546[/C][C]-0.2569[/C][C]0.398865[/C][/ROW]
[ROW][C]31[/C][C]-0.024257[/C][C]-0.2646[/C][C]0.395881[/C][/ROW]
[ROW][C]32[/C][C]-0.025004[/C][C]-0.2728[/C][C]0.392756[/C][/ROW]
[ROW][C]33[/C][C]-0.025788[/C][C]-0.2813[/C][C]0.38948[/C][/ROW]
[ROW][C]34[/C][C]-0.026612[/C][C]-0.2903[/C][C]0.386045[/C][/ROW]
[ROW][C]35[/C][C]-0.026593[/C][C]-0.2901[/C][C]0.386122[/C][/ROW]
[ROW][C]36[/C][C]0.311504[/C][C]3.3981[/C][C]0.000462[/C][/ROW]
[ROW][C]37[/C][C]-0.012892[/C][C]-0.1406[/C][C]0.444198[/C][/ROW]
[ROW][C]38[/C][C]-0.012696[/C][C]-0.1385[/C][C]0.445043[/C][/ROW]
[ROW][C]39[/C][C]-0.012831[/C][C]-0.14[/C][C]0.444459[/C][/ROW]
[ROW][C]40[/C][C]-0.01297[/C][C]-0.1415[/C][C]0.443861[/C][/ROW]
[ROW][C]41[/C][C]-0.013113[/C][C]-0.143[/C][C]0.443249[/C][/ROW]
[ROW][C]42[/C][C]-0.013259[/C][C]-0.1446[/C][C]0.442621[/C][/ROW]
[ROW][C]43[/C][C]-0.013408[/C][C]-0.1463[/C][C]0.441978[/C][/ROW]
[ROW][C]44[/C][C]-0.013562[/C][C]-0.1479[/C][C]0.441319[/C][/ROW]
[ROW][C]45[/C][C]-0.013719[/C][C]-0.1497[/C][C]0.440643[/C][/ROW]
[ROW][C]46[/C][C]-0.013885[/C][C]-0.1515[/C][C]0.439932[/C][/ROW]
[ROW][C]47[/C][C]-0.009359[/C][C]-0.1021[/C][C]0.459427[/C][/ROW]
[ROW][C]48[/C][C]-0.026732[/C][C]-0.2916[/C][C]0.385545[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293947&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293947&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	-0.011231	-0.1225	0.45135
2	-0.011445	-0.1249	0.450425
3	-0.011665	-0.1272	0.44948
4	-0.011889	-0.1297	0.448513
5	-0.012119	-0.1322	0.447523
6	-0.012355	-0.1348	0.446509
7	-0.012596	-0.1374	0.44547
8	-0.012844	-0.1401	0.444406
9	-0.013098	-0.1429	0.443314
10	-0.013358	-0.1457	0.442195
11	-0.013626	-0.1486	0.441045
12	0.183581	2.0026	0.023745
13	-0.015471	-0.1688	0.433133
14	-0.015712	-0.1714	0.432103
15	-0.015961	-0.1741	0.431037
16	-0.016219	-0.1769	0.429932
17	-0.016487	-0.1798	0.428789
18	-0.016764	-0.1829	0.427603
19	-0.017052	-0.186	0.426375
20	-0.01735	-0.1893	0.425101
21	-0.01766	-0.1927	0.42378
22	-0.017982	-0.1962	0.422409
23	-0.016338	-0.1782	0.429424
24	-0.294218	-3.2095	0.000855
25	-0.02027	-0.2211	0.412689
26	-0.021003	-0.2291	0.409584
27	-0.021598	-0.2356	0.407071
28	-0.022219	-0.2424	0.404452
29	-0.022868	-0.2495	0.401719
30	-0.023546	-0.2569	0.398865
31	-0.024257	-0.2646	0.395881
32	-0.025004	-0.2728	0.392756
33	-0.025788	-0.2813	0.38948
34	-0.026612	-0.2903	0.386045
35	-0.026593	-0.2901	0.386122
36	0.311504	3.3981	0.000462
37	-0.012892	-0.1406	0.444198
38	-0.012696	-0.1385	0.445043
39	-0.012831	-0.14	0.444459
40	-0.01297	-0.1415	0.443861
41	-0.013113	-0.143	0.443249
42	-0.013259	-0.1446	0.442621
43	-0.013408	-0.1463	0.441978
44	-0.013562	-0.1479	0.441319
45	-0.013719	-0.1497	0.440643
46	-0.013885	-0.1515	0.439932
47	-0.009359	-0.1021	0.459427
48	-0.026732	-0.2916	0.385545

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