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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Mon, 13 Dec 2010 09:39:12 +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/2010/Dec/13/t1292233095x6bu0zksd8k7m52.htm/, Retrieved Mon, 06 May 2024 22:02:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108729, Retrieved Mon, 06 May 2024 22:02:44 +0000

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Estimated Impact

175

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [(Partial) Autocorrelation Function] [] [2010-12-13 08:35:23] [21eff0c210342db4afbdafe426a7c254]
-   PD  [(Partial) Autocorrelation Function] [] [2010-12-13 09:29:04] [21eff0c210342db4afbdafe426a7c254]
-    D      [(Partial) Autocorrelation Function] [] [2010-12-13 09:39:12] [81d69fb83507cea26168920232cdff1b] [Current]
-   P         [(Partial) Autocorrelation Function] [] [2010-12-13 19:58:53] [21eff0c210342db4afbdafe426a7c254] 
-   PD        [(Partial) Autocorrelation Function] [] [2010-12-13 20:02:45] [21eff0c210342db4afbdafe426a7c254] 
-   PD        [(Partial) Autocorrelation Function] [] [2010-12-13 20:04:16] [21eff0c210342db4afbdafe426a7c254] 

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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	7 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 7 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108729&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108729&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108729&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	7 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.526387	3.9741	1e-04
2	0.396086	2.9904	0.002055
3	0.096836	0.7311	0.233859
4	-0.070348	-0.5311	0.298702
5	-0.258998	-1.9554	0.027723
6	-0.351506	-2.6538	0.005148
7	-0.224009	-1.6912	0.048127
8	-0.197951	-1.4945	0.070281
9	-0.196746	-1.4854	0.071474
10	-0.098971	-0.7472	0.229003
11	-0.055045	-0.4156	0.339639
12	-0.105774	-0.7986	0.213926
13	-0.109247	-0.8248	0.206463
14	-0.048858	-0.3689	0.356796
15	0.006266	0.0473	0.481218
16	-0.075924	-0.5732	0.284378
17	-0.072163	-0.5448	0.294001
18	-0.023457	-0.1771	0.430029
19	0.039851	0.3009	0.382305
20	-0.035669	-0.2693	0.394339
21	0.09403	0.7099	0.240326
22	0.082378	0.6219	0.26823
23	0.171339	1.2936	0.100515
24	0.075596	0.5707	0.285211
25	0.153349	1.1578	0.125896
26	0.093443	0.7055	0.241692
27	0.006432	0.0486	0.480721
28	-0.021342	-0.1611	0.43628
29	-0.046685	-0.3525	0.362896
30	-0.030295	-0.2287	0.409951
31	-0.121556	-0.9177	0.181313
32	-0.070792	-0.5345	0.297548
33	-0.046458	-0.3507	0.363535
34	-0.03231	-0.2439	0.404079
35	-0.009871	-0.0745	0.470427
36	0.004405	0.0333	0.486792
37	0.00465	0.0351	0.486058
38	0.000753	0.0057	0.497742
39	-0.015715	-0.1186	0.452987
40	0.041923	0.3165	0.376386
41	0.011348	0.0857	0.466014
42	-0.01781	-0.1345	0.446754
43	0.012067	0.0911	0.463865
44	0.019043	0.1438	0.443095
45	0.02113	0.1595	0.436908
46	-0.007673	-0.0579	0.477002
47	-0.001084	-0.0082	0.49675
48	0.015367	0.116	0.454023

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.526387 & 3.9741 & 1e-04 \tabularnewline
2 & 0.396086 & 2.9904 & 0.002055 \tabularnewline
3 & 0.096836 & 0.7311 & 0.233859 \tabularnewline
4 & -0.070348 & -0.5311 & 0.298702 \tabularnewline
5 & -0.258998 & -1.9554 & 0.027723 \tabularnewline
6 & -0.351506 & -2.6538 & 0.005148 \tabularnewline
7 & -0.224009 & -1.6912 & 0.048127 \tabularnewline
8 & -0.197951 & -1.4945 & 0.070281 \tabularnewline
9 & -0.196746 & -1.4854 & 0.071474 \tabularnewline
10 & -0.098971 & -0.7472 & 0.229003 \tabularnewline
11 & -0.055045 & -0.4156 & 0.339639 \tabularnewline
12 & -0.105774 & -0.7986 & 0.213926 \tabularnewline
13 & -0.109247 & -0.8248 & 0.206463 \tabularnewline
14 & -0.048858 & -0.3689 & 0.356796 \tabularnewline
15 & 0.006266 & 0.0473 & 0.481218 \tabularnewline
16 & -0.075924 & -0.5732 & 0.284378 \tabularnewline
17 & -0.072163 & -0.5448 & 0.294001 \tabularnewline
18 & -0.023457 & -0.1771 & 0.430029 \tabularnewline
19 & 0.039851 & 0.3009 & 0.382305 \tabularnewline
20 & -0.035669 & -0.2693 & 0.394339 \tabularnewline
21 & 0.09403 & 0.7099 & 0.240326 \tabularnewline
22 & 0.082378 & 0.6219 & 0.26823 \tabularnewline
23 & 0.171339 & 1.2936 & 0.100515 \tabularnewline
24 & 0.075596 & 0.5707 & 0.285211 \tabularnewline
25 & 0.153349 & 1.1578 & 0.125896 \tabularnewline
26 & 0.093443 & 0.7055 & 0.241692 \tabularnewline
27 & 0.006432 & 0.0486 & 0.480721 \tabularnewline
28 & -0.021342 & -0.1611 & 0.43628 \tabularnewline
29 & -0.046685 & -0.3525 & 0.362896 \tabularnewline
30 & -0.030295 & -0.2287 & 0.409951 \tabularnewline
31 & -0.121556 & -0.9177 & 0.181313 \tabularnewline
32 & -0.070792 & -0.5345 & 0.297548 \tabularnewline
33 & -0.046458 & -0.3507 & 0.363535 \tabularnewline
34 & -0.03231 & -0.2439 & 0.404079 \tabularnewline
35 & -0.009871 & -0.0745 & 0.470427 \tabularnewline
36 & 0.004405 & 0.0333 & 0.486792 \tabularnewline
37 & 0.00465 & 0.0351 & 0.486058 \tabularnewline
38 & 0.000753 & 0.0057 & 0.497742 \tabularnewline
39 & -0.015715 & -0.1186 & 0.452987 \tabularnewline
40 & 0.041923 & 0.3165 & 0.376386 \tabularnewline
41 & 0.011348 & 0.0857 & 0.466014 \tabularnewline
42 & -0.01781 & -0.1345 & 0.446754 \tabularnewline
43 & 0.012067 & 0.0911 & 0.463865 \tabularnewline
44 & 0.019043 & 0.1438 & 0.443095 \tabularnewline
45 & 0.02113 & 0.1595 & 0.436908 \tabularnewline
46 & -0.007673 & -0.0579 & 0.477002 \tabularnewline
47 & -0.001084 & -0.0082 & 0.49675 \tabularnewline
48 & 0.015367 & 0.116 & 0.454023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108729&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]0.526387[/C][C]3.9741[/C][C]1e-04[/C][/ROW]
[ROW][C]2[/C][C]0.396086[/C][C]2.9904[/C][C]0.002055[/C][/ROW]
[ROW][C]3[/C][C]0.096836[/C][C]0.7311[/C][C]0.233859[/C][/ROW]
[ROW][C]4[/C][C]-0.070348[/C][C]-0.5311[/C][C]0.298702[/C][/ROW]
[ROW][C]5[/C][C]-0.258998[/C][C]-1.9554[/C][C]0.027723[/C][/ROW]
[ROW][C]6[/C][C]-0.351506[/C][C]-2.6538[/C][C]0.005148[/C][/ROW]
[ROW][C]7[/C][C]-0.224009[/C][C]-1.6912[/C][C]0.048127[/C][/ROW]
[ROW][C]8[/C][C]-0.197951[/C][C]-1.4945[/C][C]0.070281[/C][/ROW]
[ROW][C]9[/C][C]-0.196746[/C][C]-1.4854[/C][C]0.071474[/C][/ROW]
[ROW][C]10[/C][C]-0.098971[/C][C]-0.7472[/C][C]0.229003[/C][/ROW]
[ROW][C]11[/C][C]-0.055045[/C][C]-0.4156[/C][C]0.339639[/C][/ROW]
[ROW][C]12[/C][C]-0.105774[/C][C]-0.7986[/C][C]0.213926[/C][/ROW]
[ROW][C]13[/C][C]-0.109247[/C][C]-0.8248[/C][C]0.206463[/C][/ROW]
[ROW][C]14[/C][C]-0.048858[/C][C]-0.3689[/C][C]0.356796[/C][/ROW]
[ROW][C]15[/C][C]0.006266[/C][C]0.0473[/C][C]0.481218[/C][/ROW]
[ROW][C]16[/C][C]-0.075924[/C][C]-0.5732[/C][C]0.284378[/C][/ROW]
[ROW][C]17[/C][C]-0.072163[/C][C]-0.5448[/C][C]0.294001[/C][/ROW]
[ROW][C]18[/C][C]-0.023457[/C][C]-0.1771[/C][C]0.430029[/C][/ROW]
[ROW][C]19[/C][C]0.039851[/C][C]0.3009[/C][C]0.382305[/C][/ROW]
[ROW][C]20[/C][C]-0.035669[/C][C]-0.2693[/C][C]0.394339[/C][/ROW]
[ROW][C]21[/C][C]0.09403[/C][C]0.7099[/C][C]0.240326[/C][/ROW]
[ROW][C]22[/C][C]0.082378[/C][C]0.6219[/C][C]0.26823[/C][/ROW]
[ROW][C]23[/C][C]0.171339[/C][C]1.2936[/C][C]0.100515[/C][/ROW]
[ROW][C]24[/C][C]0.075596[/C][C]0.5707[/C][C]0.285211[/C][/ROW]
[ROW][C]25[/C][C]0.153349[/C][C]1.1578[/C][C]0.125896[/C][/ROW]
[ROW][C]26[/C][C]0.093443[/C][C]0.7055[/C][C]0.241692[/C][/ROW]
[ROW][C]27[/C][C]0.006432[/C][C]0.0486[/C][C]0.480721[/C][/ROW]
[ROW][C]28[/C][C]-0.021342[/C][C]-0.1611[/C][C]0.43628[/C][/ROW]
[ROW][C]29[/C][C]-0.046685[/C][C]-0.3525[/C][C]0.362896[/C][/ROW]
[ROW][C]30[/C][C]-0.030295[/C][C]-0.2287[/C][C]0.409951[/C][/ROW]
[ROW][C]31[/C][C]-0.121556[/C][C]-0.9177[/C][C]0.181313[/C][/ROW]
[ROW][C]32[/C][C]-0.070792[/C][C]-0.5345[/C][C]0.297548[/C][/ROW]
[ROW][C]33[/C][C]-0.046458[/C][C]-0.3507[/C][C]0.363535[/C][/ROW]
[ROW][C]34[/C][C]-0.03231[/C][C]-0.2439[/C][C]0.404079[/C][/ROW]
[ROW][C]35[/C][C]-0.009871[/C][C]-0.0745[/C][C]0.470427[/C][/ROW]
[ROW][C]36[/C][C]0.004405[/C][C]0.0333[/C][C]0.486792[/C][/ROW]
[ROW][C]37[/C][C]0.00465[/C][C]0.0351[/C][C]0.486058[/C][/ROW]
[ROW][C]38[/C][C]0.000753[/C][C]0.0057[/C][C]0.497742[/C][/ROW]
[ROW][C]39[/C][C]-0.015715[/C][C]-0.1186[/C][C]0.452987[/C][/ROW]
[ROW][C]40[/C][C]0.041923[/C][C]0.3165[/C][C]0.376386[/C][/ROW]
[ROW][C]41[/C][C]0.011348[/C][C]0.0857[/C][C]0.466014[/C][/ROW]
[ROW][C]42[/C][C]-0.01781[/C][C]-0.1345[/C][C]0.446754[/C][/ROW]
[ROW][C]43[/C][C]0.012067[/C][C]0.0911[/C][C]0.463865[/C][/ROW]
[ROW][C]44[/C][C]0.019043[/C][C]0.1438[/C][C]0.443095[/C][/ROW]
[ROW][C]45[/C][C]0.02113[/C][C]0.1595[/C][C]0.436908[/C][/ROW]
[ROW][C]46[/C][C]-0.007673[/C][C]-0.0579[/C][C]0.477002[/C][/ROW]
[ROW][C]47[/C][C]-0.001084[/C][C]-0.0082[/C][C]0.49675[/C][/ROW]
[ROW][C]48[/C][C]0.015367[/C][C]0.116[/C][C]0.454023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108729&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108729&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	0.526387	3.9741	1e-04
2	0.396086	2.9904	0.002055
3	0.096836	0.7311	0.233859
4	-0.070348	-0.5311	0.298702
5	-0.258998	-1.9554	0.027723
6	-0.351506	-2.6538	0.005148
7	-0.224009	-1.6912	0.048127
8	-0.197951	-1.4945	0.070281
9	-0.196746	-1.4854	0.071474
10	-0.098971	-0.7472	0.229003
11	-0.055045	-0.4156	0.339639
12	-0.105774	-0.7986	0.213926
13	-0.109247	-0.8248	0.206463
14	-0.048858	-0.3689	0.356796
15	0.006266	0.0473	0.481218
16	-0.075924	-0.5732	0.284378
17	-0.072163	-0.5448	0.294001
18	-0.023457	-0.1771	0.430029
19	0.039851	0.3009	0.382305
20	-0.035669	-0.2693	0.394339
21	0.09403	0.7099	0.240326
22	0.082378	0.6219	0.26823
23	0.171339	1.2936	0.100515
24	0.075596	0.5707	0.285211
25	0.153349	1.1578	0.125896
26	0.093443	0.7055	0.241692
27	0.006432	0.0486	0.480721
28	-0.021342	-0.1611	0.43628
29	-0.046685	-0.3525	0.362896
30	-0.030295	-0.2287	0.409951
31	-0.121556	-0.9177	0.181313
32	-0.070792	-0.5345	0.297548
33	-0.046458	-0.3507	0.363535
34	-0.03231	-0.2439	0.404079
35	-0.009871	-0.0745	0.470427
36	0.004405	0.0333	0.486792
37	0.00465	0.0351	0.486058
38	0.000753	0.0057	0.497742
39	-0.015715	-0.1186	0.452987
40	0.041923	0.3165	0.376386
41	0.011348	0.0857	0.466014
42	-0.01781	-0.1345	0.446754
43	0.012067	0.0911	0.463865
44	0.019043	0.1438	0.443095
45	0.02113	0.1595	0.436908
46	-0.007673	-0.0579	0.477002
47	-0.001084	-0.0082	0.49675
48	0.015367	0.116	0.454023

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.526387	3.9741	1e-04
2	0.164614	1.2428	0.109513
3	-0.233162	-1.7603	0.041858
4	-0.149942	-1.132	0.131179
5	-0.176403	-1.3318	0.094111
6	-0.146531	-1.1063	0.136625
7	0.162241	1.2249	0.112826
8	-0.03734	-0.2819	0.389518
9	-0.234249	-1.7685	0.04116
10	0.011291	0.0852	0.466183
11	-0.021537	-0.1626	0.435705
12	-0.212417	-1.6037	0.057152
13	-0.03557	-0.2685	0.394625
14	0.037836	0.2857	0.388088
15	-0.045948	-0.3469	0.364973
16	-0.185742	-1.4023	0.083121
17	-0.134914	-1.0186	0.156354
18	-0.036771	-0.2776	0.391157
19	0.090611	0.6841	0.248342
20	-0.164368	-1.2409	0.109854
21	0.030282	0.2286	0.40999
22	-0.07942	-0.5996	0.275571
23	0.068428	0.5166	0.303709
24	-0.078397	-0.5919	0.278135
25	0.029428	0.2222	0.412484
26	-0.062465	-0.4716	0.319506
27	-0.044478	-0.3358	0.369127
28	0.00159	0.012	0.495232
29	-0.063065	-0.4761	0.317901
30	0.004889	0.0369	0.485343
31	-0.068532	-0.5174	0.303439
32	-0.013683	-0.1033	0.459041
33	-0.034265	-0.2587	0.398401
34	-0.021693	-0.1638	0.435243
35	0.05464	0.4125	0.340753
36	-0.064016	-0.4833	0.315364
37	-0.089238	-0.6737	0.251603
38	0.017661	0.1333	0.447198
39	0.02045	0.1544	0.438922
40	-0.004636	-0.035	0.486102
41	0.009486	0.0716	0.471577
42	-0.130408	-0.9846	0.1645
43	0.062888	0.4748	0.318373
44	-0.021151	-0.1597	0.436847
45	0.001207	0.0091	0.496379
46	-0.054861	-0.4142	0.340145
47	-0.013522	-0.1021	0.459521
48	-0.021463	-0.162	0.435923

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.526387 & 3.9741 & 1e-04 \tabularnewline
2 & 0.164614 & 1.2428 & 0.109513 \tabularnewline
3 & -0.233162 & -1.7603 & 0.041858 \tabularnewline
4 & -0.149942 & -1.132 & 0.131179 \tabularnewline
5 & -0.176403 & -1.3318 & 0.094111 \tabularnewline
6 & -0.146531 & -1.1063 & 0.136625 \tabularnewline
7 & 0.162241 & 1.2249 & 0.112826 \tabularnewline
8 & -0.03734 & -0.2819 & 0.389518 \tabularnewline
9 & -0.234249 & -1.7685 & 0.04116 \tabularnewline
10 & 0.011291 & 0.0852 & 0.466183 \tabularnewline
11 & -0.021537 & -0.1626 & 0.435705 \tabularnewline
12 & -0.212417 & -1.6037 & 0.057152 \tabularnewline
13 & -0.03557 & -0.2685 & 0.394625 \tabularnewline
14 & 0.037836 & 0.2857 & 0.388088 \tabularnewline
15 & -0.045948 & -0.3469 & 0.364973 \tabularnewline
16 & -0.185742 & -1.4023 & 0.083121 \tabularnewline
17 & -0.134914 & -1.0186 & 0.156354 \tabularnewline
18 & -0.036771 & -0.2776 & 0.391157 \tabularnewline
19 & 0.090611 & 0.6841 & 0.248342 \tabularnewline
20 & -0.164368 & -1.2409 & 0.109854 \tabularnewline
21 & 0.030282 & 0.2286 & 0.40999 \tabularnewline
22 & -0.07942 & -0.5996 & 0.275571 \tabularnewline
23 & 0.068428 & 0.5166 & 0.303709 \tabularnewline
24 & -0.078397 & -0.5919 & 0.278135 \tabularnewline
25 & 0.029428 & 0.2222 & 0.412484 \tabularnewline
26 & -0.062465 & -0.4716 & 0.319506 \tabularnewline
27 & -0.044478 & -0.3358 & 0.369127 \tabularnewline
28 & 0.00159 & 0.012 & 0.495232 \tabularnewline
29 & -0.063065 & -0.4761 & 0.317901 \tabularnewline
30 & 0.004889 & 0.0369 & 0.485343 \tabularnewline
31 & -0.068532 & -0.5174 & 0.303439 \tabularnewline
32 & -0.013683 & -0.1033 & 0.459041 \tabularnewline
33 & -0.034265 & -0.2587 & 0.398401 \tabularnewline
34 & -0.021693 & -0.1638 & 0.435243 \tabularnewline
35 & 0.05464 & 0.4125 & 0.340753 \tabularnewline
36 & -0.064016 & -0.4833 & 0.315364 \tabularnewline
37 & -0.089238 & -0.6737 & 0.251603 \tabularnewline
38 & 0.017661 & 0.1333 & 0.447198 \tabularnewline
39 & 0.02045 & 0.1544 & 0.438922 \tabularnewline
40 & -0.004636 & -0.035 & 0.486102 \tabularnewline
41 & 0.009486 & 0.0716 & 0.471577 \tabularnewline
42 & -0.130408 & -0.9846 & 0.1645 \tabularnewline
43 & 0.062888 & 0.4748 & 0.318373 \tabularnewline
44 & -0.021151 & -0.1597 & 0.436847 \tabularnewline
45 & 0.001207 & 0.0091 & 0.496379 \tabularnewline
46 & -0.054861 & -0.4142 & 0.340145 \tabularnewline
47 & -0.013522 & -0.1021 & 0.459521 \tabularnewline
48 & -0.021463 & -0.162 & 0.435923 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108729&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]0.526387[/C][C]3.9741[/C][C]1e-04[/C][/ROW]
[ROW][C]2[/C][C]0.164614[/C][C]1.2428[/C][C]0.109513[/C][/ROW]
[ROW][C]3[/C][C]-0.233162[/C][C]-1.7603[/C][C]0.041858[/C][/ROW]
[ROW][C]4[/C][C]-0.149942[/C][C]-1.132[/C][C]0.131179[/C][/ROW]
[ROW][C]5[/C][C]-0.176403[/C][C]-1.3318[/C][C]0.094111[/C][/ROW]
[ROW][C]6[/C][C]-0.146531[/C][C]-1.1063[/C][C]0.136625[/C][/ROW]
[ROW][C]7[/C][C]0.162241[/C][C]1.2249[/C][C]0.112826[/C][/ROW]
[ROW][C]8[/C][C]-0.03734[/C][C]-0.2819[/C][C]0.389518[/C][/ROW]
[ROW][C]9[/C][C]-0.234249[/C][C]-1.7685[/C][C]0.04116[/C][/ROW]
[ROW][C]10[/C][C]0.011291[/C][C]0.0852[/C][C]0.466183[/C][/ROW]
[ROW][C]11[/C][C]-0.021537[/C][C]-0.1626[/C][C]0.435705[/C][/ROW]
[ROW][C]12[/C][C]-0.212417[/C][C]-1.6037[/C][C]0.057152[/C][/ROW]
[ROW][C]13[/C][C]-0.03557[/C][C]-0.2685[/C][C]0.394625[/C][/ROW]
[ROW][C]14[/C][C]0.037836[/C][C]0.2857[/C][C]0.388088[/C][/ROW]
[ROW][C]15[/C][C]-0.045948[/C][C]-0.3469[/C][C]0.364973[/C][/ROW]
[ROW][C]16[/C][C]-0.185742[/C][C]-1.4023[/C][C]0.083121[/C][/ROW]
[ROW][C]17[/C][C]-0.134914[/C][C]-1.0186[/C][C]0.156354[/C][/ROW]
[ROW][C]18[/C][C]-0.036771[/C][C]-0.2776[/C][C]0.391157[/C][/ROW]
[ROW][C]19[/C][C]0.090611[/C][C]0.6841[/C][C]0.248342[/C][/ROW]
[ROW][C]20[/C][C]-0.164368[/C][C]-1.2409[/C][C]0.109854[/C][/ROW]
[ROW][C]21[/C][C]0.030282[/C][C]0.2286[/C][C]0.40999[/C][/ROW]
[ROW][C]22[/C][C]-0.07942[/C][C]-0.5996[/C][C]0.275571[/C][/ROW]
[ROW][C]23[/C][C]0.068428[/C][C]0.5166[/C][C]0.303709[/C][/ROW]
[ROW][C]24[/C][C]-0.078397[/C][C]-0.5919[/C][C]0.278135[/C][/ROW]
[ROW][C]25[/C][C]0.029428[/C][C]0.2222[/C][C]0.412484[/C][/ROW]
[ROW][C]26[/C][C]-0.062465[/C][C]-0.4716[/C][C]0.319506[/C][/ROW]
[ROW][C]27[/C][C]-0.044478[/C][C]-0.3358[/C][C]0.369127[/C][/ROW]
[ROW][C]28[/C][C]0.00159[/C][C]0.012[/C][C]0.495232[/C][/ROW]
[ROW][C]29[/C][C]-0.063065[/C][C]-0.4761[/C][C]0.317901[/C][/ROW]
[ROW][C]30[/C][C]0.004889[/C][C]0.0369[/C][C]0.485343[/C][/ROW]
[ROW][C]31[/C][C]-0.068532[/C][C]-0.5174[/C][C]0.303439[/C][/ROW]
[ROW][C]32[/C][C]-0.013683[/C][C]-0.1033[/C][C]0.459041[/C][/ROW]
[ROW][C]33[/C][C]-0.034265[/C][C]-0.2587[/C][C]0.398401[/C][/ROW]
[ROW][C]34[/C][C]-0.021693[/C][C]-0.1638[/C][C]0.435243[/C][/ROW]
[ROW][C]35[/C][C]0.05464[/C][C]0.4125[/C][C]0.340753[/C][/ROW]
[ROW][C]36[/C][C]-0.064016[/C][C]-0.4833[/C][C]0.315364[/C][/ROW]
[ROW][C]37[/C][C]-0.089238[/C][C]-0.6737[/C][C]0.251603[/C][/ROW]
[ROW][C]38[/C][C]0.017661[/C][C]0.1333[/C][C]0.447198[/C][/ROW]
[ROW][C]39[/C][C]0.02045[/C][C]0.1544[/C][C]0.438922[/C][/ROW]
[ROW][C]40[/C][C]-0.004636[/C][C]-0.035[/C][C]0.486102[/C][/ROW]
[ROW][C]41[/C][C]0.009486[/C][C]0.0716[/C][C]0.471577[/C][/ROW]
[ROW][C]42[/C][C]-0.130408[/C][C]-0.9846[/C][C]0.1645[/C][/ROW]
[ROW][C]43[/C][C]0.062888[/C][C]0.4748[/C][C]0.318373[/C][/ROW]
[ROW][C]44[/C][C]-0.021151[/C][C]-0.1597[/C][C]0.436847[/C][/ROW]
[ROW][C]45[/C][C]0.001207[/C][C]0.0091[/C][C]0.496379[/C][/ROW]
[ROW][C]46[/C][C]-0.054861[/C][C]-0.4142[/C][C]0.340145[/C][/ROW]
[ROW][C]47[/C][C]-0.013522[/C][C]-0.1021[/C][C]0.459521[/C][/ROW]
[ROW][C]48[/C][C]-0.021463[/C][C]-0.162[/C][C]0.435923[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108729&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108729&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	0.526387	3.9741	1e-04
2	0.164614	1.2428	0.109513
3	-0.233162	-1.7603	0.041858
4	-0.149942	-1.132	0.131179
5	-0.176403	-1.3318	0.094111
6	-0.146531	-1.1063	0.136625
7	0.162241	1.2249	0.112826
8	-0.03734	-0.2819	0.389518
9	-0.234249	-1.7685	0.04116
10	0.011291	0.0852	0.466183
11	-0.021537	-0.1626	0.435705
12	-0.212417	-1.6037	0.057152
13	-0.03557	-0.2685	0.394625
14	0.037836	0.2857	0.388088
15	-0.045948	-0.3469	0.364973
16	-0.185742	-1.4023	0.083121
17	-0.134914	-1.0186	0.156354
18	-0.036771	-0.2776	0.391157
19	0.090611	0.6841	0.248342
20	-0.164368	-1.2409	0.109854
21	0.030282	0.2286	0.40999
22	-0.07942	-0.5996	0.275571
23	0.068428	0.5166	0.303709
24	-0.078397	-0.5919	0.278135
25	0.029428	0.2222	0.412484
26	-0.062465	-0.4716	0.319506
27	-0.044478	-0.3358	0.369127
28	0.00159	0.012	0.495232
29	-0.063065	-0.4761	0.317901
30	0.004889	0.0369	0.485343
31	-0.068532	-0.5174	0.303439
32	-0.013683	-0.1033	0.459041
33	-0.034265	-0.2587	0.398401
34	-0.021693	-0.1638	0.435243
35	0.05464	0.4125	0.340753
36	-0.064016	-0.4833	0.315364
37	-0.089238	-0.6737	0.251603
38	0.017661	0.1333	0.447198
39	0.02045	0.1544	0.438922
40	-0.004636	-0.035	0.486102
41	0.009486	0.0716	0.471577
42	-0.130408	-0.9846	0.1645
43	0.062888	0.4748	0.318373
44	-0.021151	-0.1597	0.436847
45	0.001207	0.0091	0.496379
46	-0.054861	-0.4142	0.340145
47	-0.013522	-0.1021	0.459521
48	-0.021463	-0.162	0.435923

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 ; 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 ;

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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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