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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 07 May 2009 08:32:29 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/07/t1241706817ouh87746zkvlrs8.htm/, Retrieved Mon, 06 May 2024 12:59:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39593, Retrieved Mon, 06 May 2024 12:59:58 +0000

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147

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-       [(Partial) Autocorrelation Function] [Autocorrelation m...] [2009-05-07 14:32:29] [e49ca66754ae41ce7288e597b92c4c3a] [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	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39593&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39593&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39593&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.974309	10.1721	0
2	0.92553	9.6628	0
3	0.863007	9.0101	0
4	0.797703	8.3283	0
5	0.73694	7.6939	0
6	0.686898	7.1714	0
7	0.645858	6.743	0
8	0.609106	6.3593	0
9	0.574541	5.9984	0
10	0.543952	5.679	0
11	0.513192	5.3579	0
12	0.480459	5.0161	1e-06
13	0.451007	4.7086	4e-06
14	0.428853	4.4774	9e-06
15	0.409438	4.2747	2.1e-05
16	0.389413	4.0656	4.5e-05
17	0.373814	3.9027	8.3e-05
18	0.361932	3.7787	0.000129
19	0.35373	3.693	0.000174
20	0.348146	3.6348	0.000213
21	0.344833	3.6002	0.00024
22	0.339264	3.542	0.000293
23	0.32905	3.4354	0.000419
24	0.314283	3.2812	0.000694
25	0.296388	3.0944	0.001253
26	0.271923	2.839	0.0027
27	0.243696	2.5443	0.006176
28	0.214499	2.2394	0.013579
29	0.187537	1.9579	0.026396
30	0.163116	1.703	0.045711
31	0.140525	1.4671	0.072612
32	0.120459	1.2576	0.105607
33	0.101712	1.0619	0.145314
34	0.082055	0.8567	0.196749
35	0.061137	0.6383	0.262313
36	0.037733	0.3939	0.347196
37	0.013223	0.1381	0.445228
38	-0.012662	-0.1322	0.447537
39	-0.038119	-0.398	0.345714
40	-0.063	-0.6577	0.256047
41	-0.085816	-0.8959	0.186129
42	-0.106428	-1.1111	0.134477
43	-0.126401	-1.3197	0.094857
44	-0.143197	-1.495	0.068899
45	-0.159257	-1.6627	0.049624
46	-0.174383	-1.8206	0.035705
47	-0.190539	-1.9893	0.024587
48	-0.209248	-2.1846	0.01553

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.974309 & 10.1721 & 0 \tabularnewline
2 & 0.92553 & 9.6628 & 0 \tabularnewline
3 & 0.863007 & 9.0101 & 0 \tabularnewline
4 & 0.797703 & 8.3283 & 0 \tabularnewline
5 & 0.73694 & 7.6939 & 0 \tabularnewline
6 & 0.686898 & 7.1714 & 0 \tabularnewline
7 & 0.645858 & 6.743 & 0 \tabularnewline
8 & 0.609106 & 6.3593 & 0 \tabularnewline
9 & 0.574541 & 5.9984 & 0 \tabularnewline
10 & 0.543952 & 5.679 & 0 \tabularnewline
11 & 0.513192 & 5.3579 & 0 \tabularnewline
12 & 0.480459 & 5.0161 & 1e-06 \tabularnewline
13 & 0.451007 & 4.7086 & 4e-06 \tabularnewline
14 & 0.428853 & 4.4774 & 9e-06 \tabularnewline
15 & 0.409438 & 4.2747 & 2.1e-05 \tabularnewline
16 & 0.389413 & 4.0656 & 4.5e-05 \tabularnewline
17 & 0.373814 & 3.9027 & 8.3e-05 \tabularnewline
18 & 0.361932 & 3.7787 & 0.000129 \tabularnewline
19 & 0.35373 & 3.693 & 0.000174 \tabularnewline
20 & 0.348146 & 3.6348 & 0.000213 \tabularnewline
21 & 0.344833 & 3.6002 & 0.00024 \tabularnewline
22 & 0.339264 & 3.542 & 0.000293 \tabularnewline
23 & 0.32905 & 3.4354 & 0.000419 \tabularnewline
24 & 0.314283 & 3.2812 & 0.000694 \tabularnewline
25 & 0.296388 & 3.0944 & 0.001253 \tabularnewline
26 & 0.271923 & 2.839 & 0.0027 \tabularnewline
27 & 0.243696 & 2.5443 & 0.006176 \tabularnewline
28 & 0.214499 & 2.2394 & 0.013579 \tabularnewline
29 & 0.187537 & 1.9579 & 0.026396 \tabularnewline
30 & 0.163116 & 1.703 & 0.045711 \tabularnewline
31 & 0.140525 & 1.4671 & 0.072612 \tabularnewline
32 & 0.120459 & 1.2576 & 0.105607 \tabularnewline
33 & 0.101712 & 1.0619 & 0.145314 \tabularnewline
34 & 0.082055 & 0.8567 & 0.196749 \tabularnewline
35 & 0.061137 & 0.6383 & 0.262313 \tabularnewline
36 & 0.037733 & 0.3939 & 0.347196 \tabularnewline
37 & 0.013223 & 0.1381 & 0.445228 \tabularnewline
38 & -0.012662 & -0.1322 & 0.447537 \tabularnewline
39 & -0.038119 & -0.398 & 0.345714 \tabularnewline
40 & -0.063 & -0.6577 & 0.256047 \tabularnewline
41 & -0.085816 & -0.8959 & 0.186129 \tabularnewline
42 & -0.106428 & -1.1111 & 0.134477 \tabularnewline
43 & -0.126401 & -1.3197 & 0.094857 \tabularnewline
44 & -0.143197 & -1.495 & 0.068899 \tabularnewline
45 & -0.159257 & -1.6627 & 0.049624 \tabularnewline
46 & -0.174383 & -1.8206 & 0.035705 \tabularnewline
47 & -0.190539 & -1.9893 & 0.024587 \tabularnewline
48 & -0.209248 & -2.1846 & 0.01553 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39593&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]0.974309[/C][C]10.1721[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.92553[/C][C]9.6628[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.863007[/C][C]9.0101[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.797703[/C][C]8.3283[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.73694[/C][C]7.6939[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.686898[/C][C]7.1714[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.645858[/C][C]6.743[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.609106[/C][C]6.3593[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.574541[/C][C]5.9984[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.543952[/C][C]5.679[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.513192[/C][C]5.3579[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.480459[/C][C]5.0161[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.451007[/C][C]4.7086[/C][C]4e-06[/C][/ROW]
[ROW][C]14[/C][C]0.428853[/C][C]4.4774[/C][C]9e-06[/C][/ROW]
[ROW][C]15[/C][C]0.409438[/C][C]4.2747[/C][C]2.1e-05[/C][/ROW]
[ROW][C]16[/C][C]0.389413[/C][C]4.0656[/C][C]4.5e-05[/C][/ROW]
[ROW][C]17[/C][C]0.373814[/C][C]3.9027[/C][C]8.3e-05[/C][/ROW]
[ROW][C]18[/C][C]0.361932[/C][C]3.7787[/C][C]0.000129[/C][/ROW]
[ROW][C]19[/C][C]0.35373[/C][C]3.693[/C][C]0.000174[/C][/ROW]
[ROW][C]20[/C][C]0.348146[/C][C]3.6348[/C][C]0.000213[/C][/ROW]
[ROW][C]21[/C][C]0.344833[/C][C]3.6002[/C][C]0.00024[/C][/ROW]
[ROW][C]22[/C][C]0.339264[/C][C]3.542[/C][C]0.000293[/C][/ROW]
[ROW][C]23[/C][C]0.32905[/C][C]3.4354[/C][C]0.000419[/C][/ROW]
[ROW][C]24[/C][C]0.314283[/C][C]3.2812[/C][C]0.000694[/C][/ROW]
[ROW][C]25[/C][C]0.296388[/C][C]3.0944[/C][C]0.001253[/C][/ROW]
[ROW][C]26[/C][C]0.271923[/C][C]2.839[/C][C]0.0027[/C][/ROW]
[ROW][C]27[/C][C]0.243696[/C][C]2.5443[/C][C]0.006176[/C][/ROW]
[ROW][C]28[/C][C]0.214499[/C][C]2.2394[/C][C]0.013579[/C][/ROW]
[ROW][C]29[/C][C]0.187537[/C][C]1.9579[/C][C]0.026396[/C][/ROW]
[ROW][C]30[/C][C]0.163116[/C][C]1.703[/C][C]0.045711[/C][/ROW]
[ROW][C]31[/C][C]0.140525[/C][C]1.4671[/C][C]0.072612[/C][/ROW]
[ROW][C]32[/C][C]0.120459[/C][C]1.2576[/C][C]0.105607[/C][/ROW]
[ROW][C]33[/C][C]0.101712[/C][C]1.0619[/C][C]0.145314[/C][/ROW]
[ROW][C]34[/C][C]0.082055[/C][C]0.8567[/C][C]0.196749[/C][/ROW]
[ROW][C]35[/C][C]0.061137[/C][C]0.6383[/C][C]0.262313[/C][/ROW]
[ROW][C]36[/C][C]0.037733[/C][C]0.3939[/C][C]0.347196[/C][/ROW]
[ROW][C]37[/C][C]0.013223[/C][C]0.1381[/C][C]0.445228[/C][/ROW]
[ROW][C]38[/C][C]-0.012662[/C][C]-0.1322[/C][C]0.447537[/C][/ROW]
[ROW][C]39[/C][C]-0.038119[/C][C]-0.398[/C][C]0.345714[/C][/ROW]
[ROW][C]40[/C][C]-0.063[/C][C]-0.6577[/C][C]0.256047[/C][/ROW]
[ROW][C]41[/C][C]-0.085816[/C][C]-0.8959[/C][C]0.186129[/C][/ROW]
[ROW][C]42[/C][C]-0.106428[/C][C]-1.1111[/C][C]0.134477[/C][/ROW]
[ROW][C]43[/C][C]-0.126401[/C][C]-1.3197[/C][C]0.094857[/C][/ROW]
[ROW][C]44[/C][C]-0.143197[/C][C]-1.495[/C][C]0.068899[/C][/ROW]
[ROW][C]45[/C][C]-0.159257[/C][C]-1.6627[/C][C]0.049624[/C][/ROW]
[ROW][C]46[/C][C]-0.174383[/C][C]-1.8206[/C][C]0.035705[/C][/ROW]
[ROW][C]47[/C][C]-0.190539[/C][C]-1.9893[/C][C]0.024587[/C][/ROW]
[ROW][C]48[/C][C]-0.209248[/C][C]-2.1846[/C][C]0.01553[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39593&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39593&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	0.974309	10.1721	0
2	0.92553	9.6628	0
3	0.863007	9.0101	0
4	0.797703	8.3283	0
5	0.73694	7.6939	0
6	0.686898	7.1714	0
7	0.645858	6.743	0
8	0.609106	6.3593	0
9	0.574541	5.9984	0
10	0.543952	5.679	0
11	0.513192	5.3579	0
12	0.480459	5.0161	1e-06
13	0.451007	4.7086	4e-06
14	0.428853	4.4774	9e-06
15	0.409438	4.2747	2.1e-05
16	0.389413	4.0656	4.5e-05
17	0.373814	3.9027	8.3e-05
18	0.361932	3.7787	0.000129
19	0.35373	3.693	0.000174
20	0.348146	3.6348	0.000213
21	0.344833	3.6002	0.00024
22	0.339264	3.542	0.000293
23	0.32905	3.4354	0.000419
24	0.314283	3.2812	0.000694
25	0.296388	3.0944	0.001253
26	0.271923	2.839	0.0027
27	0.243696	2.5443	0.006176
28	0.214499	2.2394	0.013579
29	0.187537	1.9579	0.026396
30	0.163116	1.703	0.045711
31	0.140525	1.4671	0.072612
32	0.120459	1.2576	0.105607
33	0.101712	1.0619	0.145314
34	0.082055	0.8567	0.196749
35	0.061137	0.6383	0.262313
36	0.037733	0.3939	0.347196
37	0.013223	0.1381	0.445228
38	-0.012662	-0.1322	0.447537
39	-0.038119	-0.398	0.345714
40	-0.063	-0.6577	0.256047
41	-0.085816	-0.8959	0.186129
42	-0.106428	-1.1111	0.134477
43	-0.126401	-1.3197	0.094857
44	-0.143197	-1.495	0.068899
45	-0.159257	-1.6627	0.049624
46	-0.174383	-1.8206	0.035705
47	-0.190539	-1.9893	0.024587
48	-0.209248	-2.1846	0.01553

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.974309	10.1721	0
2	-0.468199	-4.8881	2e-06
3	-0.120541	-1.2585	0.105452
4	0.078944	0.8242	0.205813
5	0.088017	0.9189	0.180081
6	0.116505	1.2163	0.11324
7	-0.023615	-0.2466	0.402859
8	-0.090858	-0.9486	0.172465
9	-0.00837	-0.0874	0.465263
10	0.100169	1.0458	0.148985
11	-0.061186	-0.6388	0.262146
12	-0.071531	-0.7468	0.228396
13	0.111253	1.1615	0.123985
14	0.122734	1.2814	0.10139
15	-0.095058	-0.9924	0.161591
16	-0.11748	-1.2265	0.111322
17	0.143032	1.4933	0.069124
18	0.08124	0.8482	0.1991
19	0.043202	0.451	0.326428
20	-0.054655	-0.5706	0.284717
21	-0.041591	-0.4342	0.332494
22	-0.023438	-0.2447	0.403574
23	0.00777	0.0811	0.467748
24	-0.051296	-0.5355	0.296681
25	-0.046653	-0.4871	0.313591
26	-0.072386	-0.7557	0.225719
27	0.031723	0.3312	0.370564
28	-0.025903	-0.2704	0.393669
29	-0.009681	-0.1011	0.459839
30	0.019273	0.2012	0.420451
31	-0.034495	-0.3601	0.359721
32	-0.001374	-0.0143	0.494292
33	-0.000717	-0.0075	0.49702
34	-0.057195	-0.5971	0.275827
35	-0.051823	-0.541	0.294789
36	-0.048132	-0.5025	0.30816
37	0.044011	0.4595	0.323401
38	-0.043969	-0.4591	0.323555
39	-0.061233	-0.6393	0.261989
40	-0.059951	-0.6259	0.266341
41	0.04471	0.4668	0.320791
42	0.010573	0.1104	0.456155
43	-0.089356	-0.9329	0.176465
44	0.009727	0.1015	0.45965
45	-0.031361	-0.3274	0.371989
46	0.02929	0.3058	0.38017
47	-0.06411	-0.6693	0.25235
48	-0.109641	-1.1447	0.127424

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.974309 & 10.1721 & 0 \tabularnewline
2 & -0.468199 & -4.8881 & 2e-06 \tabularnewline
3 & -0.120541 & -1.2585 & 0.105452 \tabularnewline
4 & 0.078944 & 0.8242 & 0.205813 \tabularnewline
5 & 0.088017 & 0.9189 & 0.180081 \tabularnewline
6 & 0.116505 & 1.2163 & 0.11324 \tabularnewline
7 & -0.023615 & -0.2466 & 0.402859 \tabularnewline
8 & -0.090858 & -0.9486 & 0.172465 \tabularnewline
9 & -0.00837 & -0.0874 & 0.465263 \tabularnewline
10 & 0.100169 & 1.0458 & 0.148985 \tabularnewline
11 & -0.061186 & -0.6388 & 0.262146 \tabularnewline
12 & -0.071531 & -0.7468 & 0.228396 \tabularnewline
13 & 0.111253 & 1.1615 & 0.123985 \tabularnewline
14 & 0.122734 & 1.2814 & 0.10139 \tabularnewline
15 & -0.095058 & -0.9924 & 0.161591 \tabularnewline
16 & -0.11748 & -1.2265 & 0.111322 \tabularnewline
17 & 0.143032 & 1.4933 & 0.069124 \tabularnewline
18 & 0.08124 & 0.8482 & 0.1991 \tabularnewline
19 & 0.043202 & 0.451 & 0.326428 \tabularnewline
20 & -0.054655 & -0.5706 & 0.284717 \tabularnewline
21 & -0.041591 & -0.4342 & 0.332494 \tabularnewline
22 & -0.023438 & -0.2447 & 0.403574 \tabularnewline
23 & 0.00777 & 0.0811 & 0.467748 \tabularnewline
24 & -0.051296 & -0.5355 & 0.296681 \tabularnewline
25 & -0.046653 & -0.4871 & 0.313591 \tabularnewline
26 & -0.072386 & -0.7557 & 0.225719 \tabularnewline
27 & 0.031723 & 0.3312 & 0.370564 \tabularnewline
28 & -0.025903 & -0.2704 & 0.393669 \tabularnewline
29 & -0.009681 & -0.1011 & 0.459839 \tabularnewline
30 & 0.019273 & 0.2012 & 0.420451 \tabularnewline
31 & -0.034495 & -0.3601 & 0.359721 \tabularnewline
32 & -0.001374 & -0.0143 & 0.494292 \tabularnewline
33 & -0.000717 & -0.0075 & 0.49702 \tabularnewline
34 & -0.057195 & -0.5971 & 0.275827 \tabularnewline
35 & -0.051823 & -0.541 & 0.294789 \tabularnewline
36 & -0.048132 & -0.5025 & 0.30816 \tabularnewline
37 & 0.044011 & 0.4595 & 0.323401 \tabularnewline
38 & -0.043969 & -0.4591 & 0.323555 \tabularnewline
39 & -0.061233 & -0.6393 & 0.261989 \tabularnewline
40 & -0.059951 & -0.6259 & 0.266341 \tabularnewline
41 & 0.04471 & 0.4668 & 0.320791 \tabularnewline
42 & 0.010573 & 0.1104 & 0.456155 \tabularnewline
43 & -0.089356 & -0.9329 & 0.176465 \tabularnewline
44 & 0.009727 & 0.1015 & 0.45965 \tabularnewline
45 & -0.031361 & -0.3274 & 0.371989 \tabularnewline
46 & 0.02929 & 0.3058 & 0.38017 \tabularnewline
47 & -0.06411 & -0.6693 & 0.25235 \tabularnewline
48 & -0.109641 & -1.1447 & 0.127424 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39593&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]0.974309[/C][C]10.1721[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.468199[/C][C]-4.8881[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]-0.120541[/C][C]-1.2585[/C][C]0.105452[/C][/ROW]
[ROW][C]4[/C][C]0.078944[/C][C]0.8242[/C][C]0.205813[/C][/ROW]
[ROW][C]5[/C][C]0.088017[/C][C]0.9189[/C][C]0.180081[/C][/ROW]
[ROW][C]6[/C][C]0.116505[/C][C]1.2163[/C][C]0.11324[/C][/ROW]
[ROW][C]7[/C][C]-0.023615[/C][C]-0.2466[/C][C]0.402859[/C][/ROW]
[ROW][C]8[/C][C]-0.090858[/C][C]-0.9486[/C][C]0.172465[/C][/ROW]
[ROW][C]9[/C][C]-0.00837[/C][C]-0.0874[/C][C]0.465263[/C][/ROW]
[ROW][C]10[/C][C]0.100169[/C][C]1.0458[/C][C]0.148985[/C][/ROW]
[ROW][C]11[/C][C]-0.061186[/C][C]-0.6388[/C][C]0.262146[/C][/ROW]
[ROW][C]12[/C][C]-0.071531[/C][C]-0.7468[/C][C]0.228396[/C][/ROW]
[ROW][C]13[/C][C]0.111253[/C][C]1.1615[/C][C]0.123985[/C][/ROW]
[ROW][C]14[/C][C]0.122734[/C][C]1.2814[/C][C]0.10139[/C][/ROW]
[ROW][C]15[/C][C]-0.095058[/C][C]-0.9924[/C][C]0.161591[/C][/ROW]
[ROW][C]16[/C][C]-0.11748[/C][C]-1.2265[/C][C]0.111322[/C][/ROW]
[ROW][C]17[/C][C]0.143032[/C][C]1.4933[/C][C]0.069124[/C][/ROW]
[ROW][C]18[/C][C]0.08124[/C][C]0.8482[/C][C]0.1991[/C][/ROW]
[ROW][C]19[/C][C]0.043202[/C][C]0.451[/C][C]0.326428[/C][/ROW]
[ROW][C]20[/C][C]-0.054655[/C][C]-0.5706[/C][C]0.284717[/C][/ROW]
[ROW][C]21[/C][C]-0.041591[/C][C]-0.4342[/C][C]0.332494[/C][/ROW]
[ROW][C]22[/C][C]-0.023438[/C][C]-0.2447[/C][C]0.403574[/C][/ROW]
[ROW][C]23[/C][C]0.00777[/C][C]0.0811[/C][C]0.467748[/C][/ROW]
[ROW][C]24[/C][C]-0.051296[/C][C]-0.5355[/C][C]0.296681[/C][/ROW]
[ROW][C]25[/C][C]-0.046653[/C][C]-0.4871[/C][C]0.313591[/C][/ROW]
[ROW][C]26[/C][C]-0.072386[/C][C]-0.7557[/C][C]0.225719[/C][/ROW]
[ROW][C]27[/C][C]0.031723[/C][C]0.3312[/C][C]0.370564[/C][/ROW]
[ROW][C]28[/C][C]-0.025903[/C][C]-0.2704[/C][C]0.393669[/C][/ROW]
[ROW][C]29[/C][C]-0.009681[/C][C]-0.1011[/C][C]0.459839[/C][/ROW]
[ROW][C]30[/C][C]0.019273[/C][C]0.2012[/C][C]0.420451[/C][/ROW]
[ROW][C]31[/C][C]-0.034495[/C][C]-0.3601[/C][C]0.359721[/C][/ROW]
[ROW][C]32[/C][C]-0.001374[/C][C]-0.0143[/C][C]0.494292[/C][/ROW]
[ROW][C]33[/C][C]-0.000717[/C][C]-0.0075[/C][C]0.49702[/C][/ROW]
[ROW][C]34[/C][C]-0.057195[/C][C]-0.5971[/C][C]0.275827[/C][/ROW]
[ROW][C]35[/C][C]-0.051823[/C][C]-0.541[/C][C]0.294789[/C][/ROW]
[ROW][C]36[/C][C]-0.048132[/C][C]-0.5025[/C][C]0.30816[/C][/ROW]
[ROW][C]37[/C][C]0.044011[/C][C]0.4595[/C][C]0.323401[/C][/ROW]
[ROW][C]38[/C][C]-0.043969[/C][C]-0.4591[/C][C]0.323555[/C][/ROW]
[ROW][C]39[/C][C]-0.061233[/C][C]-0.6393[/C][C]0.261989[/C][/ROW]
[ROW][C]40[/C][C]-0.059951[/C][C]-0.6259[/C][C]0.266341[/C][/ROW]
[ROW][C]41[/C][C]0.04471[/C][C]0.4668[/C][C]0.320791[/C][/ROW]
[ROW][C]42[/C][C]0.010573[/C][C]0.1104[/C][C]0.456155[/C][/ROW]
[ROW][C]43[/C][C]-0.089356[/C][C]-0.9329[/C][C]0.176465[/C][/ROW]
[ROW][C]44[/C][C]0.009727[/C][C]0.1015[/C][C]0.45965[/C][/ROW]
[ROW][C]45[/C][C]-0.031361[/C][C]-0.3274[/C][C]0.371989[/C][/ROW]
[ROW][C]46[/C][C]0.02929[/C][C]0.3058[/C][C]0.38017[/C][/ROW]
[ROW][C]47[/C][C]-0.06411[/C][C]-0.6693[/C][C]0.25235[/C][/ROW]
[ROW][C]48[/C][C]-0.109641[/C][C]-1.1447[/C][C]0.127424[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39593&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39593&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	0.974309	10.1721	0
2	-0.468199	-4.8881	2e-06
3	-0.120541	-1.2585	0.105452
4	0.078944	0.8242	0.205813
5	0.088017	0.9189	0.180081
6	0.116505	1.2163	0.11324
7	-0.023615	-0.2466	0.402859
8	-0.090858	-0.9486	0.172465
9	-0.00837	-0.0874	0.465263
10	0.100169	1.0458	0.148985
11	-0.061186	-0.6388	0.262146
12	-0.071531	-0.7468	0.228396
13	0.111253	1.1615	0.123985
14	0.122734	1.2814	0.10139
15	-0.095058	-0.9924	0.161591
16	-0.11748	-1.2265	0.111322
17	0.143032	1.4933	0.069124
18	0.08124	0.8482	0.1991
19	0.043202	0.451	0.326428
20	-0.054655	-0.5706	0.284717
21	-0.041591	-0.4342	0.332494
22	-0.023438	-0.2447	0.403574
23	0.00777	0.0811	0.467748
24	-0.051296	-0.5355	0.296681
25	-0.046653	-0.4871	0.313591
26	-0.072386	-0.7557	0.225719
27	0.031723	0.3312	0.370564
28	-0.025903	-0.2704	0.393669
29	-0.009681	-0.1011	0.459839
30	0.019273	0.2012	0.420451
31	-0.034495	-0.3601	0.359721
32	-0.001374	-0.0143	0.494292
33	-0.000717	-0.0075	0.49702
34	-0.057195	-0.5971	0.275827
35	-0.051823	-0.541	0.294789
36	-0.048132	-0.5025	0.30816
37	0.044011	0.4595	0.323401
38	-0.043969	-0.4591	0.323555
39	-0.061233	-0.6393	0.261989
40	-0.059951	-0.6259	0.266341
41	0.04471	0.4668	0.320791
42	0.010573	0.1104	0.456155
43	-0.089356	-0.9329	0.176465
44	0.009727	0.1015	0.45965
45	-0.031361	-0.3274	0.371989
46	0.02929	0.3058	0.38017
47	-0.06411	-0.6693	0.25235
48	-0.109641	-1.1447	0.127424

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

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

R code (references can be found in the software module):

if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code