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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 27 Nov 2007 06:21:35 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/27/t1196169182ggqyrfy4bpm6v4c.htm/, Retrieved Sun, 05 May 2024 17:10:40 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6869, Retrieved Sun, 05 May 2024 17:10:40 +0000

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Original text written by user:

d=1 D=1

IsPrivate?

No (this computation is public)

User-defined keywords

Q2, reeks 4

Estimated Impact

179

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

-       [(Partial) Autocorrelation Function] [Workshop 3 Q2] [2007-11-27 13:21:35] [e38ae300fa323c405e42b78372d772d6] [Current]
- R  D    [(Partial) Autocorrelation Function] [Autocorrelation f...] [2008-12-22 09:15:34] [072df11bdb18ed8d65d8164df87f26f2] 

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Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6869&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6869&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6869&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	8.2462	0
1	-0.298605	-2.4624	0.991829
2	-0.160809	-1.3261	0.905372
3	-0.068194	-0.5623	0.712135
4	0.178748	1.474	0.072549
5	0.02657	0.2191	0.413613
6	-0.047544	-0.3921	0.65188
7	0.095109	0.7843	0.217796
8	-0.330622	-2.7264	0.995931
9	0.278105	2.2933	0.012464
10	-0.073384	-0.6051	0.726451
11	0.138287	1.1403	0.129072
12	-0.305587	-2.5199	0.992954
13	0.030683	0.253	0.400507
14	0.050926	0.4199	0.337925
15	-0.041923	-0.3457	0.634685
16	0.090206	0.7439	0.229763
17	-0.221235	-1.8244	0.963754
18	0.191064	1.5756	0.059885
19	-0.102273	-0.8434	0.79901
20	0.100744	0.8308	0.20451
21	-0.026699	-0.2202	0.586798
22	0.041723	0.3441	0.365932
23	-0.048358	-0.3988	0.654344
24	-0.055906	-0.461	0.676869
25	0.208002	1.7152	0.045429
26	-0.166467	-1.3727	0.912825
27	0.142617	1.176	0.121838
28	-0.131379	-1.0834	0.858766
29	0.104204	0.8593	0.196601
30	-0.092984	-0.7668	0.777062
31	0.11161	0.9204	0.180319
32	-0.041713	-0.344	0.634036
33	-0.19932	-1.6436	0.947566
34	0.215592	1.7778	0.039952
35	0.00257	0.0212	0.491576
36	-0.047786	-0.3941	0.652613
37	-0.139003	-1.1462	0.872145
38	0.145784	1.2022	0.116734
39	-0.045522	-0.3754	0.645727
40	0.007393	0.061	0.475782
41	-0.010755	-0.0887	0.535206
42	-0.03039	-0.2506	0.598561
43	-0.005948	-0.0491	0.519489
44	0.046011	0.3794	0.352782
45	0.057387	0.4732	0.318784
46	-0.097948	-0.8077	0.788961
47	0.002508	0.0207	0.491781

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.2462 & 0 \tabularnewline
1 & -0.298605 & -2.4624 & 0.991829 \tabularnewline
2 & -0.160809 & -1.3261 & 0.905372 \tabularnewline
3 & -0.068194 & -0.5623 & 0.712135 \tabularnewline
4 & 0.178748 & 1.474 & 0.072549 \tabularnewline
5 & 0.02657 & 0.2191 & 0.413613 \tabularnewline
6 & -0.047544 & -0.3921 & 0.65188 \tabularnewline
7 & 0.095109 & 0.7843 & 0.217796 \tabularnewline
8 & -0.330622 & -2.7264 & 0.995931 \tabularnewline
9 & 0.278105 & 2.2933 & 0.012464 \tabularnewline
10 & -0.073384 & -0.6051 & 0.726451 \tabularnewline
11 & 0.138287 & 1.1403 & 0.129072 \tabularnewline
12 & -0.305587 & -2.5199 & 0.992954 \tabularnewline
13 & 0.030683 & 0.253 & 0.400507 \tabularnewline
14 & 0.050926 & 0.4199 & 0.337925 \tabularnewline
15 & -0.041923 & -0.3457 & 0.634685 \tabularnewline
16 & 0.090206 & 0.7439 & 0.229763 \tabularnewline
17 & -0.221235 & -1.8244 & 0.963754 \tabularnewline
18 & 0.191064 & 1.5756 & 0.059885 \tabularnewline
19 & -0.102273 & -0.8434 & 0.79901 \tabularnewline
20 & 0.100744 & 0.8308 & 0.20451 \tabularnewline
21 & -0.026699 & -0.2202 & 0.586798 \tabularnewline
22 & 0.041723 & 0.3441 & 0.365932 \tabularnewline
23 & -0.048358 & -0.3988 & 0.654344 \tabularnewline
24 & -0.055906 & -0.461 & 0.676869 \tabularnewline
25 & 0.208002 & 1.7152 & 0.045429 \tabularnewline
26 & -0.166467 & -1.3727 & 0.912825 \tabularnewline
27 & 0.142617 & 1.176 & 0.121838 \tabularnewline
28 & -0.131379 & -1.0834 & 0.858766 \tabularnewline
29 & 0.104204 & 0.8593 & 0.196601 \tabularnewline
30 & -0.092984 & -0.7668 & 0.777062 \tabularnewline
31 & 0.11161 & 0.9204 & 0.180319 \tabularnewline
32 & -0.041713 & -0.344 & 0.634036 \tabularnewline
33 & -0.19932 & -1.6436 & 0.947566 \tabularnewline
34 & 0.215592 & 1.7778 & 0.039952 \tabularnewline
35 & 0.00257 & 0.0212 & 0.491576 \tabularnewline
36 & -0.047786 & -0.3941 & 0.652613 \tabularnewline
37 & -0.139003 & -1.1462 & 0.872145 \tabularnewline
38 & 0.145784 & 1.2022 & 0.116734 \tabularnewline
39 & -0.045522 & -0.3754 & 0.645727 \tabularnewline
40 & 0.007393 & 0.061 & 0.475782 \tabularnewline
41 & -0.010755 & -0.0887 & 0.535206 \tabularnewline
42 & -0.03039 & -0.2506 & 0.598561 \tabularnewline
43 & -0.005948 & -0.0491 & 0.519489 \tabularnewline
44 & 0.046011 & 0.3794 & 0.352782 \tabularnewline
45 & 0.057387 & 0.4732 & 0.318784 \tabularnewline
46 & -0.097948 & -0.8077 & 0.788961 \tabularnewline
47 & 0.002508 & 0.0207 & 0.491781 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6869&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]0[/C][C]1[/C][C]8.2462[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.298605[/C][C]-2.4624[/C][C]0.991829[/C][/ROW]
[ROW][C]2[/C][C]-0.160809[/C][C]-1.3261[/C][C]0.905372[/C][/ROW]
[ROW][C]3[/C][C]-0.068194[/C][C]-0.5623[/C][C]0.712135[/C][/ROW]
[ROW][C]4[/C][C]0.178748[/C][C]1.474[/C][C]0.072549[/C][/ROW]
[ROW][C]5[/C][C]0.02657[/C][C]0.2191[/C][C]0.413613[/C][/ROW]
[ROW][C]6[/C][C]-0.047544[/C][C]-0.3921[/C][C]0.65188[/C][/ROW]
[ROW][C]7[/C][C]0.095109[/C][C]0.7843[/C][C]0.217796[/C][/ROW]
[ROW][C]8[/C][C]-0.330622[/C][C]-2.7264[/C][C]0.995931[/C][/ROW]
[ROW][C]9[/C][C]0.278105[/C][C]2.2933[/C][C]0.012464[/C][/ROW]
[ROW][C]10[/C][C]-0.073384[/C][C]-0.6051[/C][C]0.726451[/C][/ROW]
[ROW][C]11[/C][C]0.138287[/C][C]1.1403[/C][C]0.129072[/C][/ROW]
[ROW][C]12[/C][C]-0.305587[/C][C]-2.5199[/C][C]0.992954[/C][/ROW]
[ROW][C]13[/C][C]0.030683[/C][C]0.253[/C][C]0.400507[/C][/ROW]
[ROW][C]14[/C][C]0.050926[/C][C]0.4199[/C][C]0.337925[/C][/ROW]
[ROW][C]15[/C][C]-0.041923[/C][C]-0.3457[/C][C]0.634685[/C][/ROW]
[ROW][C]16[/C][C]0.090206[/C][C]0.7439[/C][C]0.229763[/C][/ROW]
[ROW][C]17[/C][C]-0.221235[/C][C]-1.8244[/C][C]0.963754[/C][/ROW]
[ROW][C]18[/C][C]0.191064[/C][C]1.5756[/C][C]0.059885[/C][/ROW]
[ROW][C]19[/C][C]-0.102273[/C][C]-0.8434[/C][C]0.79901[/C][/ROW]
[ROW][C]20[/C][C]0.100744[/C][C]0.8308[/C][C]0.20451[/C][/ROW]
[ROW][C]21[/C][C]-0.026699[/C][C]-0.2202[/C][C]0.586798[/C][/ROW]
[ROW][C]22[/C][C]0.041723[/C][C]0.3441[/C][C]0.365932[/C][/ROW]
[ROW][C]23[/C][C]-0.048358[/C][C]-0.3988[/C][C]0.654344[/C][/ROW]
[ROW][C]24[/C][C]-0.055906[/C][C]-0.461[/C][C]0.676869[/C][/ROW]
[ROW][C]25[/C][C]0.208002[/C][C]1.7152[/C][C]0.045429[/C][/ROW]
[ROW][C]26[/C][C]-0.166467[/C][C]-1.3727[/C][C]0.912825[/C][/ROW]
[ROW][C]27[/C][C]0.142617[/C][C]1.176[/C][C]0.121838[/C][/ROW]
[ROW][C]28[/C][C]-0.131379[/C][C]-1.0834[/C][C]0.858766[/C][/ROW]
[ROW][C]29[/C][C]0.104204[/C][C]0.8593[/C][C]0.196601[/C][/ROW]
[ROW][C]30[/C][C]-0.092984[/C][C]-0.7668[/C][C]0.777062[/C][/ROW]
[ROW][C]31[/C][C]0.11161[/C][C]0.9204[/C][C]0.180319[/C][/ROW]
[ROW][C]32[/C][C]-0.041713[/C][C]-0.344[/C][C]0.634036[/C][/ROW]
[ROW][C]33[/C][C]-0.19932[/C][C]-1.6436[/C][C]0.947566[/C][/ROW]
[ROW][C]34[/C][C]0.215592[/C][C]1.7778[/C][C]0.039952[/C][/ROW]
[ROW][C]35[/C][C]0.00257[/C][C]0.0212[/C][C]0.491576[/C][/ROW]
[ROW][C]36[/C][C]-0.047786[/C][C]-0.3941[/C][C]0.652613[/C][/ROW]
[ROW][C]37[/C][C]-0.139003[/C][C]-1.1462[/C][C]0.872145[/C][/ROW]
[ROW][C]38[/C][C]0.145784[/C][C]1.2022[/C][C]0.116734[/C][/ROW]
[ROW][C]39[/C][C]-0.045522[/C][C]-0.3754[/C][C]0.645727[/C][/ROW]
[ROW][C]40[/C][C]0.007393[/C][C]0.061[/C][C]0.475782[/C][/ROW]
[ROW][C]41[/C][C]-0.010755[/C][C]-0.0887[/C][C]0.535206[/C][/ROW]
[ROW][C]42[/C][C]-0.03039[/C][C]-0.2506[/C][C]0.598561[/C][/ROW]
[ROW][C]43[/C][C]-0.005948[/C][C]-0.0491[/C][C]0.519489[/C][/ROW]
[ROW][C]44[/C][C]0.046011[/C][C]0.3794[/C][C]0.352782[/C][/ROW]
[ROW][C]45[/C][C]0.057387[/C][C]0.4732[/C][C]0.318784[/C][/ROW]
[ROW][C]46[/C][C]-0.097948[/C][C]-0.8077[/C][C]0.788961[/C][/ROW]
[ROW][C]47[/C][C]0.002508[/C][C]0.0207[/C][C]0.491781[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6869&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6869&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
0	1	8.2462	0
1	-0.298605	-2.4624	0.991829
2	-0.160809	-1.3261	0.905372
3	-0.068194	-0.5623	0.712135
4	0.178748	1.474	0.072549
5	0.02657	0.2191	0.413613
6	-0.047544	-0.3921	0.65188
7	0.095109	0.7843	0.217796
8	-0.330622	-2.7264	0.995931
9	0.278105	2.2933	0.012464
10	-0.073384	-0.6051	0.726451
11	0.138287	1.1403	0.129072
12	-0.305587	-2.5199	0.992954
13	0.030683	0.253	0.400507
14	0.050926	0.4199	0.337925
15	-0.041923	-0.3457	0.634685
16	0.090206	0.7439	0.229763
17	-0.221235	-1.8244	0.963754
18	0.191064	1.5756	0.059885
19	-0.102273	-0.8434	0.79901
20	0.100744	0.8308	0.20451
21	-0.026699	-0.2202	0.586798
22	0.041723	0.3441	0.365932
23	-0.048358	-0.3988	0.654344
24	-0.055906	-0.461	0.676869
25	0.208002	1.7152	0.045429
26	-0.166467	-1.3727	0.912825
27	0.142617	1.176	0.121838
28	-0.131379	-1.0834	0.858766
29	0.104204	0.8593	0.196601
30	-0.092984	-0.7668	0.777062
31	0.11161	0.9204	0.180319
32	-0.041713	-0.344	0.634036
33	-0.19932	-1.6436	0.947566
34	0.215592	1.7778	0.039952
35	0.00257	0.0212	0.491576
36	-0.047786	-0.3941	0.652613
37	-0.139003	-1.1462	0.872145
38	0.145784	1.2022	0.116734
39	-0.045522	-0.3754	0.645727
40	0.007393	0.061	0.475782
41	-0.010755	-0.0887	0.535206
42	-0.03039	-0.2506	0.598561
43	-0.005948	-0.0491	0.519489
44	0.046011	0.3794	0.352782
45	0.057387	0.4732	0.318784
46	-0.097948	-0.8077	0.788961
47	0.002508	0.0207	0.491781

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	-0.298605	-2.4624	0.991829
1	-0.274444	-2.2631	0.986588
2	-0.25093	-2.0692	0.978836
3	0.017336	0.143	0.443372
4	0.060096	0.4956	0.3109
5	0.046583	0.3841	0.35104
6	0.193566	1.5962	0.057542
7	-0.300995	-2.4821	0.992231
8	0.103552	0.8539	0.198077
9	-0.105555	-0.8704	0.806436
10	0.13662	1.1266	0.131936
11	-0.193746	-1.5977	0.942624
12	-0.126578	-1.0438	0.84986
13	-0.145986	-1.2038	0.883585
14	-0.15276	-1.2597	0.893957
15	-0.041865	-0.3452	0.634504
16	-0.129561	-1.0684	0.855438
17	0.055693	0.4593	0.323756
18	0.03753	0.3095	0.378951
19	-0.077747	-0.6411	0.738199
20	0.142569	1.1757	0.121917
21	0.031302	0.2581	0.398546
22	0.053825	0.4439	0.32928
23	-0.074873	-0.6174	0.73049
24	0.028452	0.2346	0.407602
25	-0.083782	-0.6909	0.754006
26	0.041596	0.343	0.366326
27	-0.071318	-0.5881	0.720795
28	-0.003385	-0.0279	0.511092
29	-0.08198	-0.676	0.749341
30	0.093956	0.7748	0.220576
31	-0.080608	-0.6647	0.745758
32	-0.088879	-0.7329	0.766935
33	0.058557	0.4829	0.315368
34	0.184342	1.5201	0.066558
35	-0.115499	-0.9524	0.827874
36	0.074482	0.6142	0.27057
37	-0.099029	-0.8166	0.791501
38	0.093849	0.7739	0.220837
39	-0.109083	-0.8995	0.814226
40	-0.039187	-0.3231	0.62621
41	0.001568	0.0129	0.494861
42	-0.080973	-0.6677	0.746715
43	0.029834	0.246	0.403206
44	-0.060203	-0.4964	0.68941
45	0.002936	0.0242	0.490379
46	0.051894	0.4279	0.335027
47	-0.056279	-0.4641	0.677968

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.298605 & -2.4624 & 0.991829 \tabularnewline
1 & -0.274444 & -2.2631 & 0.986588 \tabularnewline
2 & -0.25093 & -2.0692 & 0.978836 \tabularnewline
3 & 0.017336 & 0.143 & 0.443372 \tabularnewline
4 & 0.060096 & 0.4956 & 0.3109 \tabularnewline
5 & 0.046583 & 0.3841 & 0.35104 \tabularnewline
6 & 0.193566 & 1.5962 & 0.057542 \tabularnewline
7 & -0.300995 & -2.4821 & 0.992231 \tabularnewline
8 & 0.103552 & 0.8539 & 0.198077 \tabularnewline
9 & -0.105555 & -0.8704 & 0.806436 \tabularnewline
10 & 0.13662 & 1.1266 & 0.131936 \tabularnewline
11 & -0.193746 & -1.5977 & 0.942624 \tabularnewline
12 & -0.126578 & -1.0438 & 0.84986 \tabularnewline
13 & -0.145986 & -1.2038 & 0.883585 \tabularnewline
14 & -0.15276 & -1.2597 & 0.893957 \tabularnewline
15 & -0.041865 & -0.3452 & 0.634504 \tabularnewline
16 & -0.129561 & -1.0684 & 0.855438 \tabularnewline
17 & 0.055693 & 0.4593 & 0.323756 \tabularnewline
18 & 0.03753 & 0.3095 & 0.378951 \tabularnewline
19 & -0.077747 & -0.6411 & 0.738199 \tabularnewline
20 & 0.142569 & 1.1757 & 0.121917 \tabularnewline
21 & 0.031302 & 0.2581 & 0.398546 \tabularnewline
22 & 0.053825 & 0.4439 & 0.32928 \tabularnewline
23 & -0.074873 & -0.6174 & 0.73049 \tabularnewline
24 & 0.028452 & 0.2346 & 0.407602 \tabularnewline
25 & -0.083782 & -0.6909 & 0.754006 \tabularnewline
26 & 0.041596 & 0.343 & 0.366326 \tabularnewline
27 & -0.071318 & -0.5881 & 0.720795 \tabularnewline
28 & -0.003385 & -0.0279 & 0.511092 \tabularnewline
29 & -0.08198 & -0.676 & 0.749341 \tabularnewline
30 & 0.093956 & 0.7748 & 0.220576 \tabularnewline
31 & -0.080608 & -0.6647 & 0.745758 \tabularnewline
32 & -0.088879 & -0.7329 & 0.766935 \tabularnewline
33 & 0.058557 & 0.4829 & 0.315368 \tabularnewline
34 & 0.184342 & 1.5201 & 0.066558 \tabularnewline
35 & -0.115499 & -0.9524 & 0.827874 \tabularnewline
36 & 0.074482 & 0.6142 & 0.27057 \tabularnewline
37 & -0.099029 & -0.8166 & 0.791501 \tabularnewline
38 & 0.093849 & 0.7739 & 0.220837 \tabularnewline
39 & -0.109083 & -0.8995 & 0.814226 \tabularnewline
40 & -0.039187 & -0.3231 & 0.62621 \tabularnewline
41 & 0.001568 & 0.0129 & 0.494861 \tabularnewline
42 & -0.080973 & -0.6677 & 0.746715 \tabularnewline
43 & 0.029834 & 0.246 & 0.403206 \tabularnewline
44 & -0.060203 & -0.4964 & 0.68941 \tabularnewline
45 & 0.002936 & 0.0242 & 0.490379 \tabularnewline
46 & 0.051894 & 0.4279 & 0.335027 \tabularnewline
47 & -0.056279 & -0.4641 & 0.677968 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6869&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]0[/C][C]-0.298605[/C][C]-2.4624[/C][C]0.991829[/C][/ROW]
[ROW][C]1[/C][C]-0.274444[/C][C]-2.2631[/C][C]0.986588[/C][/ROW]
[ROW][C]2[/C][C]-0.25093[/C][C]-2.0692[/C][C]0.978836[/C][/ROW]
[ROW][C]3[/C][C]0.017336[/C][C]0.143[/C][C]0.443372[/C][/ROW]
[ROW][C]4[/C][C]0.060096[/C][C]0.4956[/C][C]0.3109[/C][/ROW]
[ROW][C]5[/C][C]0.046583[/C][C]0.3841[/C][C]0.35104[/C][/ROW]
[ROW][C]6[/C][C]0.193566[/C][C]1.5962[/C][C]0.057542[/C][/ROW]
[ROW][C]7[/C][C]-0.300995[/C][C]-2.4821[/C][C]0.992231[/C][/ROW]
[ROW][C]8[/C][C]0.103552[/C][C]0.8539[/C][C]0.198077[/C][/ROW]
[ROW][C]9[/C][C]-0.105555[/C][C]-0.8704[/C][C]0.806436[/C][/ROW]
[ROW][C]10[/C][C]0.13662[/C][C]1.1266[/C][C]0.131936[/C][/ROW]
[ROW][C]11[/C][C]-0.193746[/C][C]-1.5977[/C][C]0.942624[/C][/ROW]
[ROW][C]12[/C][C]-0.126578[/C][C]-1.0438[/C][C]0.84986[/C][/ROW]
[ROW][C]13[/C][C]-0.145986[/C][C]-1.2038[/C][C]0.883585[/C][/ROW]
[ROW][C]14[/C][C]-0.15276[/C][C]-1.2597[/C][C]0.893957[/C][/ROW]
[ROW][C]15[/C][C]-0.041865[/C][C]-0.3452[/C][C]0.634504[/C][/ROW]
[ROW][C]16[/C][C]-0.129561[/C][C]-1.0684[/C][C]0.855438[/C][/ROW]
[ROW][C]17[/C][C]0.055693[/C][C]0.4593[/C][C]0.323756[/C][/ROW]
[ROW][C]18[/C][C]0.03753[/C][C]0.3095[/C][C]0.378951[/C][/ROW]
[ROW][C]19[/C][C]-0.077747[/C][C]-0.6411[/C][C]0.738199[/C][/ROW]
[ROW][C]20[/C][C]0.142569[/C][C]1.1757[/C][C]0.121917[/C][/ROW]
[ROW][C]21[/C][C]0.031302[/C][C]0.2581[/C][C]0.398546[/C][/ROW]
[ROW][C]22[/C][C]0.053825[/C][C]0.4439[/C][C]0.32928[/C][/ROW]
[ROW][C]23[/C][C]-0.074873[/C][C]-0.6174[/C][C]0.73049[/C][/ROW]
[ROW][C]24[/C][C]0.028452[/C][C]0.2346[/C][C]0.407602[/C][/ROW]
[ROW][C]25[/C][C]-0.083782[/C][C]-0.6909[/C][C]0.754006[/C][/ROW]
[ROW][C]26[/C][C]0.041596[/C][C]0.343[/C][C]0.366326[/C][/ROW]
[ROW][C]27[/C][C]-0.071318[/C][C]-0.5881[/C][C]0.720795[/C][/ROW]
[ROW][C]28[/C][C]-0.003385[/C][C]-0.0279[/C][C]0.511092[/C][/ROW]
[ROW][C]29[/C][C]-0.08198[/C][C]-0.676[/C][C]0.749341[/C][/ROW]
[ROW][C]30[/C][C]0.093956[/C][C]0.7748[/C][C]0.220576[/C][/ROW]
[ROW][C]31[/C][C]-0.080608[/C][C]-0.6647[/C][C]0.745758[/C][/ROW]
[ROW][C]32[/C][C]-0.088879[/C][C]-0.7329[/C][C]0.766935[/C][/ROW]
[ROW][C]33[/C][C]0.058557[/C][C]0.4829[/C][C]0.315368[/C][/ROW]
[ROW][C]34[/C][C]0.184342[/C][C]1.5201[/C][C]0.066558[/C][/ROW]
[ROW][C]35[/C][C]-0.115499[/C][C]-0.9524[/C][C]0.827874[/C][/ROW]
[ROW][C]36[/C][C]0.074482[/C][C]0.6142[/C][C]0.27057[/C][/ROW]
[ROW][C]37[/C][C]-0.099029[/C][C]-0.8166[/C][C]0.791501[/C][/ROW]
[ROW][C]38[/C][C]0.093849[/C][C]0.7739[/C][C]0.220837[/C][/ROW]
[ROW][C]39[/C][C]-0.109083[/C][C]-0.8995[/C][C]0.814226[/C][/ROW]
[ROW][C]40[/C][C]-0.039187[/C][C]-0.3231[/C][C]0.62621[/C][/ROW]
[ROW][C]41[/C][C]0.001568[/C][C]0.0129[/C][C]0.494861[/C][/ROW]
[ROW][C]42[/C][C]-0.080973[/C][C]-0.6677[/C][C]0.746715[/C][/ROW]
[ROW][C]43[/C][C]0.029834[/C][C]0.246[/C][C]0.403206[/C][/ROW]
[ROW][C]44[/C][C]-0.060203[/C][C]-0.4964[/C][C]0.68941[/C][/ROW]
[ROW][C]45[/C][C]0.002936[/C][C]0.0242[/C][C]0.490379[/C][/ROW]
[ROW][C]46[/C][C]0.051894[/C][C]0.4279[/C][C]0.335027[/C][/ROW]
[ROW][C]47[/C][C]-0.056279[/C][C]-0.4641[/C][C]0.677968[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6869&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6869&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
0	-0.298605	-2.4624	0.991829
1	-0.274444	-2.2631	0.986588
2	-0.25093	-2.0692	0.978836
3	0.017336	0.143	0.443372
4	0.060096	0.4956	0.3109
5	0.046583	0.3841	0.35104
6	0.193566	1.5962	0.057542
7	-0.300995	-2.4821	0.992231
8	0.103552	0.8539	0.198077
9	-0.105555	-0.8704	0.806436
10	0.13662	1.1266	0.131936
11	-0.193746	-1.5977	0.942624
12	-0.126578	-1.0438	0.84986
13	-0.145986	-1.2038	0.883585
14	-0.15276	-1.2597	0.893957
15	-0.041865	-0.3452	0.634504
16	-0.129561	-1.0684	0.855438
17	0.055693	0.4593	0.323756
18	0.03753	0.3095	0.378951
19	-0.077747	-0.6411	0.738199
20	0.142569	1.1757	0.121917
21	0.031302	0.2581	0.398546
22	0.053825	0.4439	0.32928
23	-0.074873	-0.6174	0.73049
24	0.028452	0.2346	0.407602
25	-0.083782	-0.6909	0.754006
26	0.041596	0.343	0.366326
27	-0.071318	-0.5881	0.720795
28	-0.003385	-0.0279	0.511092
29	-0.08198	-0.676	0.749341
30	0.093956	0.7748	0.220576
31	-0.080608	-0.6647	0.745758
32	-0.088879	-0.7329	0.766935
33	0.058557	0.4829	0.315368
34	0.184342	1.5201	0.066558
35	-0.115499	-0.9524	0.827874
36	0.074482	0.6142	0.27057
37	-0.099029	-0.8166	0.791501
38	0.093849	0.7739	0.220837
39	-0.109083	-0.8995	0.814226
40	-0.039187	-0.3231	0.62621
41	0.001568	0.0129	0.494861
42	-0.080973	-0.6677	0.746715
43	0.029834	0.246	0.403206
44	-0.060203	-0.4964	0.68941
45	0.002936	0.0242	0.490379
46	0.051894	0.4279	0.335027
47	-0.056279	-0.4641	0.677968

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(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