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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 20 Dec 2007 08:50:07 -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/Dec/20/t11981648055t0ub6oa94uibxg.htm/, Retrieved Mon, 29 Apr 2024 16:06:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4743, Retrieved Mon, 29 Apr 2024 16:06:22 +0000

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243

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-       [(Partial) Autocorrelation Function] [partial autocorr ...] [2007-12-20 15:50:07] [8e05505c645e933583b5ad9ab4281af9] [Current]

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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	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4743&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]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=4743&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4743&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	11.8322	0
1	0.195975	2.3188	0.010927
2	-0.062125	-0.7351	0.768237
3	0.12638	1.4953	0.068538
4	-0.023868	-0.2824	0.610976
5	-0.20358	-2.4088	0.991347
6	-0.024167	-0.2859	0.612328
7	0.090392	1.0695	0.143336
8	-0.08724	-1.0322	0.84813
9	0.029213	0.3457	0.36506
10	0.207463	2.4547	0.007663
11	0.203594	2.409	0.008649
12	-0.015921	-0.1884	0.574574
13	0.00232	0.0274	0.489071
14	0.01415	0.1674	0.433638
15	-0.062152	-0.7354	0.768334
16	-0.077186	-0.9133	0.818666
17	-0.027316	-0.3232	0.626488
18	0.011806	0.1397	0.444555
19	-0.03182	-0.3765	0.646444
20	0.073065	0.8645	0.194391
21	0.039712	0.4699	0.319585
22	-0.014744	-0.1745	0.569122
23	-0.008178	-0.0968	0.538473
24	0.064576	0.7641	0.223056
25	-0.000972	-0.0115	0.50458
26	-0.026172	-0.3097	0.621365
27	0.060091	0.711	0.239131
28	0.009302	0.1101	0.456259
29	-0.002066	-0.0244	0.509735
30	0.087258	1.0325	0.15182
31	0.052932	0.6263	0.266068
32	-0.052533	-0.6216	0.732385
33	-0.006177	-0.0731	0.529077
34	-0.022367	-0.2646	0.604165
35	-0.042906	-0.5077	0.693758
36	0.014589	0.1726	0.431599
37	0.018691	0.2211	0.412649
38	0.016907	0.2001	0.420865
39	0.065293	0.7726	0.220545
40	0.087562	1.036	0.150983
41	-0.094051	-1.1128	0.866154
42	-0.166305	-1.9678	0.974464
43	-0.131059	-1.5507	0.938385
44	-0.091915	-1.0876	0.86067
45	-0.01475	-0.1745	0.569147
46	0.072823	0.8617	0.195176
47	0.016538	0.1957	0.42257

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 11.8322 & 0 \tabularnewline
1 & 0.195975 & 2.3188 & 0.010927 \tabularnewline
2 & -0.062125 & -0.7351 & 0.768237 \tabularnewline
3 & 0.12638 & 1.4953 & 0.068538 \tabularnewline
4 & -0.023868 & -0.2824 & 0.610976 \tabularnewline
5 & -0.20358 & -2.4088 & 0.991347 \tabularnewline
6 & -0.024167 & -0.2859 & 0.612328 \tabularnewline
7 & 0.090392 & 1.0695 & 0.143336 \tabularnewline
8 & -0.08724 & -1.0322 & 0.84813 \tabularnewline
9 & 0.029213 & 0.3457 & 0.36506 \tabularnewline
10 & 0.207463 & 2.4547 & 0.007663 \tabularnewline
11 & 0.203594 & 2.409 & 0.008649 \tabularnewline
12 & -0.015921 & -0.1884 & 0.574574 \tabularnewline
13 & 0.00232 & 0.0274 & 0.489071 \tabularnewline
14 & 0.01415 & 0.1674 & 0.433638 \tabularnewline
15 & -0.062152 & -0.7354 & 0.768334 \tabularnewline
16 & -0.077186 & -0.9133 & 0.818666 \tabularnewline
17 & -0.027316 & -0.3232 & 0.626488 \tabularnewline
18 & 0.011806 & 0.1397 & 0.444555 \tabularnewline
19 & -0.03182 & -0.3765 & 0.646444 \tabularnewline
20 & 0.073065 & 0.8645 & 0.194391 \tabularnewline
21 & 0.039712 & 0.4699 & 0.319585 \tabularnewline
22 & -0.014744 & -0.1745 & 0.569122 \tabularnewline
23 & -0.008178 & -0.0968 & 0.538473 \tabularnewline
24 & 0.064576 & 0.7641 & 0.223056 \tabularnewline
25 & -0.000972 & -0.0115 & 0.50458 \tabularnewline
26 & -0.026172 & -0.3097 & 0.621365 \tabularnewline
27 & 0.060091 & 0.711 & 0.239131 \tabularnewline
28 & 0.009302 & 0.1101 & 0.456259 \tabularnewline
29 & -0.002066 & -0.0244 & 0.509735 \tabularnewline
30 & 0.087258 & 1.0325 & 0.15182 \tabularnewline
31 & 0.052932 & 0.6263 & 0.266068 \tabularnewline
32 & -0.052533 & -0.6216 & 0.732385 \tabularnewline
33 & -0.006177 & -0.0731 & 0.529077 \tabularnewline
34 & -0.022367 & -0.2646 & 0.604165 \tabularnewline
35 & -0.042906 & -0.5077 & 0.693758 \tabularnewline
36 & 0.014589 & 0.1726 & 0.431599 \tabularnewline
37 & 0.018691 & 0.2211 & 0.412649 \tabularnewline
38 & 0.016907 & 0.2001 & 0.420865 \tabularnewline
39 & 0.065293 & 0.7726 & 0.220545 \tabularnewline
40 & 0.087562 & 1.036 & 0.150983 \tabularnewline
41 & -0.094051 & -1.1128 & 0.866154 \tabularnewline
42 & -0.166305 & -1.9678 & 0.974464 \tabularnewline
43 & -0.131059 & -1.5507 & 0.938385 \tabularnewline
44 & -0.091915 & -1.0876 & 0.86067 \tabularnewline
45 & -0.01475 & -0.1745 & 0.569147 \tabularnewline
46 & 0.072823 & 0.8617 & 0.195176 \tabularnewline
47 & 0.016538 & 0.1957 & 0.42257 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4743&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]11.8322[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.195975[/C][C]2.3188[/C][C]0.010927[/C][/ROW]
[ROW][C]2[/C][C]-0.062125[/C][C]-0.7351[/C][C]0.768237[/C][/ROW]
[ROW][C]3[/C][C]0.12638[/C][C]1.4953[/C][C]0.068538[/C][/ROW]
[ROW][C]4[/C][C]-0.023868[/C][C]-0.2824[/C][C]0.610976[/C][/ROW]
[ROW][C]5[/C][C]-0.20358[/C][C]-2.4088[/C][C]0.991347[/C][/ROW]
[ROW][C]6[/C][C]-0.024167[/C][C]-0.2859[/C][C]0.612328[/C][/ROW]
[ROW][C]7[/C][C]0.090392[/C][C]1.0695[/C][C]0.143336[/C][/ROW]
[ROW][C]8[/C][C]-0.08724[/C][C]-1.0322[/C][C]0.84813[/C][/ROW]
[ROW][C]9[/C][C]0.029213[/C][C]0.3457[/C][C]0.36506[/C][/ROW]
[ROW][C]10[/C][C]0.207463[/C][C]2.4547[/C][C]0.007663[/C][/ROW]
[ROW][C]11[/C][C]0.203594[/C][C]2.409[/C][C]0.008649[/C][/ROW]
[ROW][C]12[/C][C]-0.015921[/C][C]-0.1884[/C][C]0.574574[/C][/ROW]
[ROW][C]13[/C][C]0.00232[/C][C]0.0274[/C][C]0.489071[/C][/ROW]
[ROW][C]14[/C][C]0.01415[/C][C]0.1674[/C][C]0.433638[/C][/ROW]
[ROW][C]15[/C][C]-0.062152[/C][C]-0.7354[/C][C]0.768334[/C][/ROW]
[ROW][C]16[/C][C]-0.077186[/C][C]-0.9133[/C][C]0.818666[/C][/ROW]
[ROW][C]17[/C][C]-0.027316[/C][C]-0.3232[/C][C]0.626488[/C][/ROW]
[ROW][C]18[/C][C]0.011806[/C][C]0.1397[/C][C]0.444555[/C][/ROW]
[ROW][C]19[/C][C]-0.03182[/C][C]-0.3765[/C][C]0.646444[/C][/ROW]
[ROW][C]20[/C][C]0.073065[/C][C]0.8645[/C][C]0.194391[/C][/ROW]
[ROW][C]21[/C][C]0.039712[/C][C]0.4699[/C][C]0.319585[/C][/ROW]
[ROW][C]22[/C][C]-0.014744[/C][C]-0.1745[/C][C]0.569122[/C][/ROW]
[ROW][C]23[/C][C]-0.008178[/C][C]-0.0968[/C][C]0.538473[/C][/ROW]
[ROW][C]24[/C][C]0.064576[/C][C]0.7641[/C][C]0.223056[/C][/ROW]
[ROW][C]25[/C][C]-0.000972[/C][C]-0.0115[/C][C]0.50458[/C][/ROW]
[ROW][C]26[/C][C]-0.026172[/C][C]-0.3097[/C][C]0.621365[/C][/ROW]
[ROW][C]27[/C][C]0.060091[/C][C]0.711[/C][C]0.239131[/C][/ROW]
[ROW][C]28[/C][C]0.009302[/C][C]0.1101[/C][C]0.456259[/C][/ROW]
[ROW][C]29[/C][C]-0.002066[/C][C]-0.0244[/C][C]0.509735[/C][/ROW]
[ROW][C]30[/C][C]0.087258[/C][C]1.0325[/C][C]0.15182[/C][/ROW]
[ROW][C]31[/C][C]0.052932[/C][C]0.6263[/C][C]0.266068[/C][/ROW]
[ROW][C]32[/C][C]-0.052533[/C][C]-0.6216[/C][C]0.732385[/C][/ROW]
[ROW][C]33[/C][C]-0.006177[/C][C]-0.0731[/C][C]0.529077[/C][/ROW]
[ROW][C]34[/C][C]-0.022367[/C][C]-0.2646[/C][C]0.604165[/C][/ROW]
[ROW][C]35[/C][C]-0.042906[/C][C]-0.5077[/C][C]0.693758[/C][/ROW]
[ROW][C]36[/C][C]0.014589[/C][C]0.1726[/C][C]0.431599[/C][/ROW]
[ROW][C]37[/C][C]0.018691[/C][C]0.2211[/C][C]0.412649[/C][/ROW]
[ROW][C]38[/C][C]0.016907[/C][C]0.2001[/C][C]0.420865[/C][/ROW]
[ROW][C]39[/C][C]0.065293[/C][C]0.7726[/C][C]0.220545[/C][/ROW]
[ROW][C]40[/C][C]0.087562[/C][C]1.036[/C][C]0.150983[/C][/ROW]
[ROW][C]41[/C][C]-0.094051[/C][C]-1.1128[/C][C]0.866154[/C][/ROW]
[ROW][C]42[/C][C]-0.166305[/C][C]-1.9678[/C][C]0.974464[/C][/ROW]
[ROW][C]43[/C][C]-0.131059[/C][C]-1.5507[/C][C]0.938385[/C][/ROW]
[ROW][C]44[/C][C]-0.091915[/C][C]-1.0876[/C][C]0.86067[/C][/ROW]
[ROW][C]45[/C][C]-0.01475[/C][C]-0.1745[/C][C]0.569147[/C][/ROW]
[ROW][C]46[/C][C]0.072823[/C][C]0.8617[/C][C]0.195176[/C][/ROW]
[ROW][C]47[/C][C]0.016538[/C][C]0.1957[/C][C]0.42257[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4743&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4743&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	11.8322	0
1	0.195975	2.3188	0.010927
2	-0.062125	-0.7351	0.768237
3	0.12638	1.4953	0.068538
4	-0.023868	-0.2824	0.610976
5	-0.20358	-2.4088	0.991347
6	-0.024167	-0.2859	0.612328
7	0.090392	1.0695	0.143336
8	-0.08724	-1.0322	0.84813
9	0.029213	0.3457	0.36506
10	0.207463	2.4547	0.007663
11	0.203594	2.409	0.008649
12	-0.015921	-0.1884	0.574574
13	0.00232	0.0274	0.489071
14	0.01415	0.1674	0.433638
15	-0.062152	-0.7354	0.768334
16	-0.077186	-0.9133	0.818666
17	-0.027316	-0.3232	0.626488
18	0.011806	0.1397	0.444555
19	-0.03182	-0.3765	0.646444
20	0.073065	0.8645	0.194391
21	0.039712	0.4699	0.319585
22	-0.014744	-0.1745	0.569122
23	-0.008178	-0.0968	0.538473
24	0.064576	0.7641	0.223056
25	-0.000972	-0.0115	0.50458
26	-0.026172	-0.3097	0.621365
27	0.060091	0.711	0.239131
28	0.009302	0.1101	0.456259
29	-0.002066	-0.0244	0.509735
30	0.087258	1.0325	0.15182
31	0.052932	0.6263	0.266068
32	-0.052533	-0.6216	0.732385
33	-0.006177	-0.0731	0.529077
34	-0.022367	-0.2646	0.604165
35	-0.042906	-0.5077	0.693758
36	0.014589	0.1726	0.431599
37	0.018691	0.2211	0.412649
38	0.016907	0.2001	0.420865
39	0.065293	0.7726	0.220545
40	0.087562	1.036	0.150983
41	-0.094051	-1.1128	0.866154
42	-0.166305	-1.9678	0.974464
43	-0.131059	-1.5507	0.938385
44	-0.091915	-1.0876	0.86067
45	-0.01475	-0.1745	0.569147
46	0.072823	0.8617	0.195176
47	0.016538	0.1957	0.42257

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.195975	2.3188	0.010927
1	-0.104546	-1.237	0.890923
2	0.168561	1.9944	0.024023
3	-0.103075	-1.2196	0.887666
4	-0.159417	-1.8862	0.969334
5	0.030091	0.356	0.361173
6	0.074464	0.8811	0.189896
7	-0.082452	-0.9756	0.834523
8	0.075705	0.8958	0.18596
9	0.12832	1.5183	0.065596
10	0.188945	2.2356	0.01348
11	-0.072549	-0.8584	0.803934
12	-0.02211	-0.2616	0.602998
13	-0.020602	-0.2438	0.596117
14	0.037083	0.4388	0.330752
15	-0.034556	-0.4089	0.658372
16	-0.048074	-0.5688	0.714806
17	0.016074	0.1902	0.424717
18	0.000115	0.0014	0.499457
19	0.047506	0.5621	0.287476
20	-0.078054	-0.9236	0.821345
21	-0.030027	-0.3553	0.638545
22	0.01551	0.1835	0.427329
23	0.085876	1.0161	0.155667
24	-0.016487	-0.1951	0.577191
25	0.002148	0.0254	0.489878
26	0.0606	0.717	0.237275
27	0.021715	0.2569	0.398803
28	0.013545	0.1603	0.436452
29	0.061177	0.7239	0.235179
30	-0.008085	-0.0957	0.538036
31	-0.004466	-0.0528	0.521034
32	-0.006366	-0.0753	0.529966
33	-0.068132	-0.8061	0.789236
34	-0.009215	-0.109	0.543335
35	0.03258	0.3855	0.350229
36	-0.016235	-0.1921	0.576027
37	0.001448	0.0171	0.493178
38	0.05743	0.6795	0.248967
39	0.042791	0.5063	0.306716
40	-0.151525	-1.7929	0.962424
41	-0.159299	-1.8849	0.969239
42	-0.094923	-1.1231	0.86835
43	0.00998	0.1181	0.453087
44	0.075886	0.8979	0.185391
45	0.051709	0.6118	0.270823
46	-0.064034	-0.7577	0.775036
47	-0.05649	-0.6684	0.747509

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.195975 & 2.3188 & 0.010927 \tabularnewline
1 & -0.104546 & -1.237 & 0.890923 \tabularnewline
2 & 0.168561 & 1.9944 & 0.024023 \tabularnewline
3 & -0.103075 & -1.2196 & 0.887666 \tabularnewline
4 & -0.159417 & -1.8862 & 0.969334 \tabularnewline
5 & 0.030091 & 0.356 & 0.361173 \tabularnewline
6 & 0.074464 & 0.8811 & 0.189896 \tabularnewline
7 & -0.082452 & -0.9756 & 0.834523 \tabularnewline
8 & 0.075705 & 0.8958 & 0.18596 \tabularnewline
9 & 0.12832 & 1.5183 & 0.065596 \tabularnewline
10 & 0.188945 & 2.2356 & 0.01348 \tabularnewline
11 & -0.072549 & -0.8584 & 0.803934 \tabularnewline
12 & -0.02211 & -0.2616 & 0.602998 \tabularnewline
13 & -0.020602 & -0.2438 & 0.596117 \tabularnewline
14 & 0.037083 & 0.4388 & 0.330752 \tabularnewline
15 & -0.034556 & -0.4089 & 0.658372 \tabularnewline
16 & -0.048074 & -0.5688 & 0.714806 \tabularnewline
17 & 0.016074 & 0.1902 & 0.424717 \tabularnewline
18 & 0.000115 & 0.0014 & 0.499457 \tabularnewline
19 & 0.047506 & 0.5621 & 0.287476 \tabularnewline
20 & -0.078054 & -0.9236 & 0.821345 \tabularnewline
21 & -0.030027 & -0.3553 & 0.638545 \tabularnewline
22 & 0.01551 & 0.1835 & 0.427329 \tabularnewline
23 & 0.085876 & 1.0161 & 0.155667 \tabularnewline
24 & -0.016487 & -0.1951 & 0.577191 \tabularnewline
25 & 0.002148 & 0.0254 & 0.489878 \tabularnewline
26 & 0.0606 & 0.717 & 0.237275 \tabularnewline
27 & 0.021715 & 0.2569 & 0.398803 \tabularnewline
28 & 0.013545 & 0.1603 & 0.436452 \tabularnewline
29 & 0.061177 & 0.7239 & 0.235179 \tabularnewline
30 & -0.008085 & -0.0957 & 0.538036 \tabularnewline
31 & -0.004466 & -0.0528 & 0.521034 \tabularnewline
32 & -0.006366 & -0.0753 & 0.529966 \tabularnewline
33 & -0.068132 & -0.8061 & 0.789236 \tabularnewline
34 & -0.009215 & -0.109 & 0.543335 \tabularnewline
35 & 0.03258 & 0.3855 & 0.350229 \tabularnewline
36 & -0.016235 & -0.1921 & 0.576027 \tabularnewline
37 & 0.001448 & 0.0171 & 0.493178 \tabularnewline
38 & 0.05743 & 0.6795 & 0.248967 \tabularnewline
39 & 0.042791 & 0.5063 & 0.306716 \tabularnewline
40 & -0.151525 & -1.7929 & 0.962424 \tabularnewline
41 & -0.159299 & -1.8849 & 0.969239 \tabularnewline
42 & -0.094923 & -1.1231 & 0.86835 \tabularnewline
43 & 0.00998 & 0.1181 & 0.453087 \tabularnewline
44 & 0.075886 & 0.8979 & 0.185391 \tabularnewline
45 & 0.051709 & 0.6118 & 0.270823 \tabularnewline
46 & -0.064034 & -0.7577 & 0.775036 \tabularnewline
47 & -0.05649 & -0.6684 & 0.747509 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4743&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]0.195975[/C][C]2.3188[/C][C]0.010927[/C][/ROW]
[ROW][C]1[/C][C]-0.104546[/C][C]-1.237[/C][C]0.890923[/C][/ROW]
[ROW][C]2[/C][C]0.168561[/C][C]1.9944[/C][C]0.024023[/C][/ROW]
[ROW][C]3[/C][C]-0.103075[/C][C]-1.2196[/C][C]0.887666[/C][/ROW]
[ROW][C]4[/C][C]-0.159417[/C][C]-1.8862[/C][C]0.969334[/C][/ROW]
[ROW][C]5[/C][C]0.030091[/C][C]0.356[/C][C]0.361173[/C][/ROW]
[ROW][C]6[/C][C]0.074464[/C][C]0.8811[/C][C]0.189896[/C][/ROW]
[ROW][C]7[/C][C]-0.082452[/C][C]-0.9756[/C][C]0.834523[/C][/ROW]
[ROW][C]8[/C][C]0.075705[/C][C]0.8958[/C][C]0.18596[/C][/ROW]
[ROW][C]9[/C][C]0.12832[/C][C]1.5183[/C][C]0.065596[/C][/ROW]
[ROW][C]10[/C][C]0.188945[/C][C]2.2356[/C][C]0.01348[/C][/ROW]
[ROW][C]11[/C][C]-0.072549[/C][C]-0.8584[/C][C]0.803934[/C][/ROW]
[ROW][C]12[/C][C]-0.02211[/C][C]-0.2616[/C][C]0.602998[/C][/ROW]
[ROW][C]13[/C][C]-0.020602[/C][C]-0.2438[/C][C]0.596117[/C][/ROW]
[ROW][C]14[/C][C]0.037083[/C][C]0.4388[/C][C]0.330752[/C][/ROW]
[ROW][C]15[/C][C]-0.034556[/C][C]-0.4089[/C][C]0.658372[/C][/ROW]
[ROW][C]16[/C][C]-0.048074[/C][C]-0.5688[/C][C]0.714806[/C][/ROW]
[ROW][C]17[/C][C]0.016074[/C][C]0.1902[/C][C]0.424717[/C][/ROW]
[ROW][C]18[/C][C]0.000115[/C][C]0.0014[/C][C]0.499457[/C][/ROW]
[ROW][C]19[/C][C]0.047506[/C][C]0.5621[/C][C]0.287476[/C][/ROW]
[ROW][C]20[/C][C]-0.078054[/C][C]-0.9236[/C][C]0.821345[/C][/ROW]
[ROW][C]21[/C][C]-0.030027[/C][C]-0.3553[/C][C]0.638545[/C][/ROW]
[ROW][C]22[/C][C]0.01551[/C][C]0.1835[/C][C]0.427329[/C][/ROW]
[ROW][C]23[/C][C]0.085876[/C][C]1.0161[/C][C]0.155667[/C][/ROW]
[ROW][C]24[/C][C]-0.016487[/C][C]-0.1951[/C][C]0.577191[/C][/ROW]
[ROW][C]25[/C][C]0.002148[/C][C]0.0254[/C][C]0.489878[/C][/ROW]
[ROW][C]26[/C][C]0.0606[/C][C]0.717[/C][C]0.237275[/C][/ROW]
[ROW][C]27[/C][C]0.021715[/C][C]0.2569[/C][C]0.398803[/C][/ROW]
[ROW][C]28[/C][C]0.013545[/C][C]0.1603[/C][C]0.436452[/C][/ROW]
[ROW][C]29[/C][C]0.061177[/C][C]0.7239[/C][C]0.235179[/C][/ROW]
[ROW][C]30[/C][C]-0.008085[/C][C]-0.0957[/C][C]0.538036[/C][/ROW]
[ROW][C]31[/C][C]-0.004466[/C][C]-0.0528[/C][C]0.521034[/C][/ROW]
[ROW][C]32[/C][C]-0.006366[/C][C]-0.0753[/C][C]0.529966[/C][/ROW]
[ROW][C]33[/C][C]-0.068132[/C][C]-0.8061[/C][C]0.789236[/C][/ROW]
[ROW][C]34[/C][C]-0.009215[/C][C]-0.109[/C][C]0.543335[/C][/ROW]
[ROW][C]35[/C][C]0.03258[/C][C]0.3855[/C][C]0.350229[/C][/ROW]
[ROW][C]36[/C][C]-0.016235[/C][C]-0.1921[/C][C]0.576027[/C][/ROW]
[ROW][C]37[/C][C]0.001448[/C][C]0.0171[/C][C]0.493178[/C][/ROW]
[ROW][C]38[/C][C]0.05743[/C][C]0.6795[/C][C]0.248967[/C][/ROW]
[ROW][C]39[/C][C]0.042791[/C][C]0.5063[/C][C]0.306716[/C][/ROW]
[ROW][C]40[/C][C]-0.151525[/C][C]-1.7929[/C][C]0.962424[/C][/ROW]
[ROW][C]41[/C][C]-0.159299[/C][C]-1.8849[/C][C]0.969239[/C][/ROW]
[ROW][C]42[/C][C]-0.094923[/C][C]-1.1231[/C][C]0.86835[/C][/ROW]
[ROW][C]43[/C][C]0.00998[/C][C]0.1181[/C][C]0.453087[/C][/ROW]
[ROW][C]44[/C][C]0.075886[/C][C]0.8979[/C][C]0.185391[/C][/ROW]
[ROW][C]45[/C][C]0.051709[/C][C]0.6118[/C][C]0.270823[/C][/ROW]
[ROW][C]46[/C][C]-0.064034[/C][C]-0.7577[/C][C]0.775036[/C][/ROW]
[ROW][C]47[/C][C]-0.05649[/C][C]-0.6684[/C][C]0.747509[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4743&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4743&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	0.195975	2.3188	0.010927
1	-0.104546	-1.237	0.890923
2	0.168561	1.9944	0.024023
3	-0.103075	-1.2196	0.887666
4	-0.159417	-1.8862	0.969334
5	0.030091	0.356	0.361173
6	0.074464	0.8811	0.189896
7	-0.082452	-0.9756	0.834523
8	0.075705	0.8958	0.18596
9	0.12832	1.5183	0.065596
10	0.188945	2.2356	0.01348
11	-0.072549	-0.8584	0.803934
12	-0.02211	-0.2616	0.602998
13	-0.020602	-0.2438	0.596117
14	0.037083	0.4388	0.330752
15	-0.034556	-0.4089	0.658372
16	-0.048074	-0.5688	0.714806
17	0.016074	0.1902	0.424717
18	0.000115	0.0014	0.499457
19	0.047506	0.5621	0.287476
20	-0.078054	-0.9236	0.821345
21	-0.030027	-0.3553	0.638545
22	0.01551	0.1835	0.427329
23	0.085876	1.0161	0.155667
24	-0.016487	-0.1951	0.577191
25	0.002148	0.0254	0.489878
26	0.0606	0.717	0.237275
27	0.021715	0.2569	0.398803
28	0.013545	0.1603	0.436452
29	0.061177	0.7239	0.235179
30	-0.008085	-0.0957	0.538036
31	-0.004466	-0.0528	0.521034
32	-0.006366	-0.0753	0.529966
33	-0.068132	-0.8061	0.789236
34	-0.009215	-0.109	0.543335
35	0.03258	0.3855	0.350229
36	-0.016235	-0.1921	0.576027
37	0.001448	0.0171	0.493178
38	0.05743	0.6795	0.248967
39	0.042791	0.5063	0.306716
40	-0.151525	-1.7929	0.962424
41	-0.159299	-1.8849	0.969239
42	-0.094923	-1.1231	0.86835
43	0.00998	0.1181	0.453087
44	0.075886	0.8979	0.185391
45	0.051709	0.6118	0.270823
46	-0.064034	-0.7577	0.775036
47	-0.05649	-0.6684	0.747509

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 0.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 0.0 ; par3 = 1 ; 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 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