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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 10 Dec 2008 15:44:49 -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/2008/Dec/10/t1228949135nmp4ic5af1i8ren.htm/, Retrieved Sun, 19 May 2024 05:16:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32145, Retrieved Sun, 19 May 2024 05:16:10 +0000

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User-defined keywords

Estimated Impact

147

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-       [(Partial) Autocorrelation Function] [Parameter citroen...] [2008-12-10 22:44:49] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

1.82
1.76
1.79
1.74
1.78
1.80
1.80
1.80
1.79
1.82
1.82
1.83
1.77
1.77
1.77
1.77
1.74
1.78
1.78
1.78
1.78
1.81
1.84
1.80
1.78
1.76
1.74
1.72
1.73
1.77
1.81
1.83
1.87
1.89
1.82
1.79
1.79
1.82
1.82
1.81
1.81
1.78
1.80
1.79
1.83
1.82
1.80
1.82
1.84
1.82
1.81
1.79
1.87
1.89
1.92
1.9
1.91
1.95
2.04
1.99
1.94
1.93
1.89
1.87
1.89
1.9
1.93
1.94
1.88
1.89
1.92
1.91
1.89
1.89
1.98
2.02
2.02
1.99
1.97
1.96
1.95
1.98
2.00
2.00

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=32145&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=32145&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32145&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	0.069905	0.6369	0.262983
2	-0.117679	-1.0721	0.143389
3	-0.246576	-2.2464	0.013667
4	-0.02069	-0.1885	0.425475
5	-0.054379	-0.4954	0.310809
6	-0.109434	-0.997	0.160834
7	-0.080015	-0.729	0.234035
8	0.035875	0.3268	0.372309
9	0.076392	0.696	0.244199
10	-0.042354	-0.3859	0.350293
11	0.081324	0.7409	0.230424
12	0.033167	0.3022	0.381639
13	-0.036151	-0.3294	0.371359
14	-0.109262	-0.9954	0.161212
15	0.021679	0.1975	0.421957
16	0.04347	0.396	0.34655
17	0.045936	0.4185	0.338333
18	-0.038069	-0.3468	0.364799
19	-0.116547	-1.0618	0.145704
20	-0.032554	-0.2966	0.383765
21	-0.009348	-0.0852	0.466167
22	0.193698	1.7647	0.040649
23	0.056751	0.517	0.303255
24	-0.057721	-0.5259	0.300193
25	0.019068	0.1737	0.431255
26	0.075322	0.6862	0.247246
27	0.093947	0.8559	0.197258
28	0.022995	0.2095	0.417287
29	-0.077009	-0.7016	0.24245
30	-0.105491	-0.9611	0.169654
31	-0.075446	-0.6873	0.246891
32	-0.102615	-0.9349	0.176284
33	0.052273	0.4762	0.31758
34	0.03559	0.3242	0.373285
35	0.019695	0.1794	0.42902
36	-0.000416	-0.0038	0.498492
37	0.138838	1.2649	0.104728
38	0.036573	0.3332	0.369913
39	-0.049955	-0.4551	0.325107
40	-0.136119	-1.2401	0.109216
41	-0.080332	-0.7319	0.233158
42	-0.017603	-0.1604	0.43649
43	0.090236	0.8221	0.20669
44	0.083966	0.765	0.223229
45	0.064016	0.5832	0.280665
46	-0.08909	-0.8117	0.209657
47	-0.039414	-0.3591	0.360224
48	0.057895	0.5274	0.299645

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.069905 & 0.6369 & 0.262983 \tabularnewline
2 & -0.117679 & -1.0721 & 0.143389 \tabularnewline
3 & -0.246576 & -2.2464 & 0.013667 \tabularnewline
4 & -0.02069 & -0.1885 & 0.425475 \tabularnewline
5 & -0.054379 & -0.4954 & 0.310809 \tabularnewline
6 & -0.109434 & -0.997 & 0.160834 \tabularnewline
7 & -0.080015 & -0.729 & 0.234035 \tabularnewline
8 & 0.035875 & 0.3268 & 0.372309 \tabularnewline
9 & 0.076392 & 0.696 & 0.244199 \tabularnewline
10 & -0.042354 & -0.3859 & 0.350293 \tabularnewline
11 & 0.081324 & 0.7409 & 0.230424 \tabularnewline
12 & 0.033167 & 0.3022 & 0.381639 \tabularnewline
13 & -0.036151 & -0.3294 & 0.371359 \tabularnewline
14 & -0.109262 & -0.9954 & 0.161212 \tabularnewline
15 & 0.021679 & 0.1975 & 0.421957 \tabularnewline
16 & 0.04347 & 0.396 & 0.34655 \tabularnewline
17 & 0.045936 & 0.4185 & 0.338333 \tabularnewline
18 & -0.038069 & -0.3468 & 0.364799 \tabularnewline
19 & -0.116547 & -1.0618 & 0.145704 \tabularnewline
20 & -0.032554 & -0.2966 & 0.383765 \tabularnewline
21 & -0.009348 & -0.0852 & 0.466167 \tabularnewline
22 & 0.193698 & 1.7647 & 0.040649 \tabularnewline
23 & 0.056751 & 0.517 & 0.303255 \tabularnewline
24 & -0.057721 & -0.5259 & 0.300193 \tabularnewline
25 & 0.019068 & 0.1737 & 0.431255 \tabularnewline
26 & 0.075322 & 0.6862 & 0.247246 \tabularnewline
27 & 0.093947 & 0.8559 & 0.197258 \tabularnewline
28 & 0.022995 & 0.2095 & 0.417287 \tabularnewline
29 & -0.077009 & -0.7016 & 0.24245 \tabularnewline
30 & -0.105491 & -0.9611 & 0.169654 \tabularnewline
31 & -0.075446 & -0.6873 & 0.246891 \tabularnewline
32 & -0.102615 & -0.9349 & 0.176284 \tabularnewline
33 & 0.052273 & 0.4762 & 0.31758 \tabularnewline
34 & 0.03559 & 0.3242 & 0.373285 \tabularnewline
35 & 0.019695 & 0.1794 & 0.42902 \tabularnewline
36 & -0.000416 & -0.0038 & 0.498492 \tabularnewline
37 & 0.138838 & 1.2649 & 0.104728 \tabularnewline
38 & 0.036573 & 0.3332 & 0.369913 \tabularnewline
39 & -0.049955 & -0.4551 & 0.325107 \tabularnewline
40 & -0.136119 & -1.2401 & 0.109216 \tabularnewline
41 & -0.080332 & -0.7319 & 0.233158 \tabularnewline
42 & -0.017603 & -0.1604 & 0.43649 \tabularnewline
43 & 0.090236 & 0.8221 & 0.20669 \tabularnewline
44 & 0.083966 & 0.765 & 0.223229 \tabularnewline
45 & 0.064016 & 0.5832 & 0.280665 \tabularnewline
46 & -0.08909 & -0.8117 & 0.209657 \tabularnewline
47 & -0.039414 & -0.3591 & 0.360224 \tabularnewline
48 & 0.057895 & 0.5274 & 0.299645 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32145&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]0.069905[/C][C]0.6369[/C][C]0.262983[/C][/ROW]
[ROW][C]2[/C][C]-0.117679[/C][C]-1.0721[/C][C]0.143389[/C][/ROW]
[ROW][C]3[/C][C]-0.246576[/C][C]-2.2464[/C][C]0.013667[/C][/ROW]
[ROW][C]4[/C][C]-0.02069[/C][C]-0.1885[/C][C]0.425475[/C][/ROW]
[ROW][C]5[/C][C]-0.054379[/C][C]-0.4954[/C][C]0.310809[/C][/ROW]
[ROW][C]6[/C][C]-0.109434[/C][C]-0.997[/C][C]0.160834[/C][/ROW]
[ROW][C]7[/C][C]-0.080015[/C][C]-0.729[/C][C]0.234035[/C][/ROW]
[ROW][C]8[/C][C]0.035875[/C][C]0.3268[/C][C]0.372309[/C][/ROW]
[ROW][C]9[/C][C]0.076392[/C][C]0.696[/C][C]0.244199[/C][/ROW]
[ROW][C]10[/C][C]-0.042354[/C][C]-0.3859[/C][C]0.350293[/C][/ROW]
[ROW][C]11[/C][C]0.081324[/C][C]0.7409[/C][C]0.230424[/C][/ROW]
[ROW][C]12[/C][C]0.033167[/C][C]0.3022[/C][C]0.381639[/C][/ROW]
[ROW][C]13[/C][C]-0.036151[/C][C]-0.3294[/C][C]0.371359[/C][/ROW]
[ROW][C]14[/C][C]-0.109262[/C][C]-0.9954[/C][C]0.161212[/C][/ROW]
[ROW][C]15[/C][C]0.021679[/C][C]0.1975[/C][C]0.421957[/C][/ROW]
[ROW][C]16[/C][C]0.04347[/C][C]0.396[/C][C]0.34655[/C][/ROW]
[ROW][C]17[/C][C]0.045936[/C][C]0.4185[/C][C]0.338333[/C][/ROW]
[ROW][C]18[/C][C]-0.038069[/C][C]-0.3468[/C][C]0.364799[/C][/ROW]
[ROW][C]19[/C][C]-0.116547[/C][C]-1.0618[/C][C]0.145704[/C][/ROW]
[ROW][C]20[/C][C]-0.032554[/C][C]-0.2966[/C][C]0.383765[/C][/ROW]
[ROW][C]21[/C][C]-0.009348[/C][C]-0.0852[/C][C]0.466167[/C][/ROW]
[ROW][C]22[/C][C]0.193698[/C][C]1.7647[/C][C]0.040649[/C][/ROW]
[ROW][C]23[/C][C]0.056751[/C][C]0.517[/C][C]0.303255[/C][/ROW]
[ROW][C]24[/C][C]-0.057721[/C][C]-0.5259[/C][C]0.300193[/C][/ROW]
[ROW][C]25[/C][C]0.019068[/C][C]0.1737[/C][C]0.431255[/C][/ROW]
[ROW][C]26[/C][C]0.075322[/C][C]0.6862[/C][C]0.247246[/C][/ROW]
[ROW][C]27[/C][C]0.093947[/C][C]0.8559[/C][C]0.197258[/C][/ROW]
[ROW][C]28[/C][C]0.022995[/C][C]0.2095[/C][C]0.417287[/C][/ROW]
[ROW][C]29[/C][C]-0.077009[/C][C]-0.7016[/C][C]0.24245[/C][/ROW]
[ROW][C]30[/C][C]-0.105491[/C][C]-0.9611[/C][C]0.169654[/C][/ROW]
[ROW][C]31[/C][C]-0.075446[/C][C]-0.6873[/C][C]0.246891[/C][/ROW]
[ROW][C]32[/C][C]-0.102615[/C][C]-0.9349[/C][C]0.176284[/C][/ROW]
[ROW][C]33[/C][C]0.052273[/C][C]0.4762[/C][C]0.31758[/C][/ROW]
[ROW][C]34[/C][C]0.03559[/C][C]0.3242[/C][C]0.373285[/C][/ROW]
[ROW][C]35[/C][C]0.019695[/C][C]0.1794[/C][C]0.42902[/C][/ROW]
[ROW][C]36[/C][C]-0.000416[/C][C]-0.0038[/C][C]0.498492[/C][/ROW]
[ROW][C]37[/C][C]0.138838[/C][C]1.2649[/C][C]0.104728[/C][/ROW]
[ROW][C]38[/C][C]0.036573[/C][C]0.3332[/C][C]0.369913[/C][/ROW]
[ROW][C]39[/C][C]-0.049955[/C][C]-0.4551[/C][C]0.325107[/C][/ROW]
[ROW][C]40[/C][C]-0.136119[/C][C]-1.2401[/C][C]0.109216[/C][/ROW]
[ROW][C]41[/C][C]-0.080332[/C][C]-0.7319[/C][C]0.233158[/C][/ROW]
[ROW][C]42[/C][C]-0.017603[/C][C]-0.1604[/C][C]0.43649[/C][/ROW]
[ROW][C]43[/C][C]0.090236[/C][C]0.8221[/C][C]0.20669[/C][/ROW]
[ROW][C]44[/C][C]0.083966[/C][C]0.765[/C][C]0.223229[/C][/ROW]
[ROW][C]45[/C][C]0.064016[/C][C]0.5832[/C][C]0.280665[/C][/ROW]
[ROW][C]46[/C][C]-0.08909[/C][C]-0.8117[/C][C]0.209657[/C][/ROW]
[ROW][C]47[/C][C]-0.039414[/C][C]-0.3591[/C][C]0.360224[/C][/ROW]
[ROW][C]48[/C][C]0.057895[/C][C]0.5274[/C][C]0.299645[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32145&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32145&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	0.069905	0.6369	0.262983
2	-0.117679	-1.0721	0.143389
3	-0.246576	-2.2464	0.013667
4	-0.02069	-0.1885	0.425475
5	-0.054379	-0.4954	0.310809
6	-0.109434	-0.997	0.160834
7	-0.080015	-0.729	0.234035
8	0.035875	0.3268	0.372309
9	0.076392	0.696	0.244199
10	-0.042354	-0.3859	0.350293
11	0.081324	0.7409	0.230424
12	0.033167	0.3022	0.381639
13	-0.036151	-0.3294	0.371359
14	-0.109262	-0.9954	0.161212
15	0.021679	0.1975	0.421957
16	0.04347	0.396	0.34655
17	0.045936	0.4185	0.338333
18	-0.038069	-0.3468	0.364799
19	-0.116547	-1.0618	0.145704
20	-0.032554	-0.2966	0.383765
21	-0.009348	-0.0852	0.466167
22	0.193698	1.7647	0.040649
23	0.056751	0.517	0.303255
24	-0.057721	-0.5259	0.300193
25	0.019068	0.1737	0.431255
26	0.075322	0.6862	0.247246
27	0.093947	0.8559	0.197258
28	0.022995	0.2095	0.417287
29	-0.077009	-0.7016	0.24245
30	-0.105491	-0.9611	0.169654
31	-0.075446	-0.6873	0.246891
32	-0.102615	-0.9349	0.176284
33	0.052273	0.4762	0.31758
34	0.03559	0.3242	0.373285
35	0.019695	0.1794	0.42902
36	-0.000416	-0.0038	0.498492
37	0.138838	1.2649	0.104728
38	0.036573	0.3332	0.369913
39	-0.049955	-0.4551	0.325107
40	-0.136119	-1.2401	0.109216
41	-0.080332	-0.7319	0.233158
42	-0.017603	-0.1604	0.43649
43	0.090236	0.8221	0.20669
44	0.083966	0.765	0.223229
45	0.064016	0.5832	0.280665
46	-0.08909	-0.8117	0.209657
47	-0.039414	-0.3591	0.360224
48	0.057895	0.5274	0.299645

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.069905	0.6369	0.262983
2	-0.123168	-1.1221	0.132525
3	-0.23339	-2.1263	0.018225
4	-0.004792	-0.0437	0.48264
5	-0.11488	-1.0466	0.149159
6	-0.17706	-1.6131	0.05526
7	-0.108205	-0.9858	0.163549
8	-0.044271	-0.4033	0.343871
9	-0.032262	-0.2939	0.384776
10	-0.125834	-1.1464	0.127462
11	0.066249	0.6036	0.273891
12	-0.014823	-0.135	0.446453
13	-0.096858	-0.8824	0.190049
14	-0.081836	-0.7456	0.22902
15	0.022	0.2004	0.420817
16	-0.019852	-0.1809	0.428457
17	0.001657	0.0151	0.493995
18	-0.019468	-0.1774	0.429829
19	-0.138765	-1.2642	0.104847
20	-0.081128	-0.7391	0.230962
21	-0.06746	-0.6146	0.270254
22	0.147033	1.3395	0.092027
23	0.002203	0.0201	0.492017
24	-0.087575	-0.7978	0.213619
25	0.115506	1.0523	0.147855
26	0.064232	0.5852	0.280005
27	0.105621	0.9623	0.169359
28	0.154116	1.4041	0.082016
29	0.056166	0.5117	0.305113
30	0.003904	0.0356	0.485858
31	-0.015813	-0.1441	0.442899
32	-0.056088	-0.511	0.305358
33	0.041541	0.3785	0.353029
34	-0.032287	-0.2941	0.384689
35	-0.00704	-0.0641	0.474509
36	0.023509	0.2142	0.415467
37	0.101881	0.9282	0.178002
38	-0.006489	-0.0591	0.4765
39	-0.023727	-0.2162	0.414696
40	-0.049026	-0.4466	0.328146
41	-0.018593	-0.1694	0.432951
42	-0.054008	-0.492	0.311996
43	0.079062	0.7203	0.236685
44	0.032244	0.2938	0.384837
45	0.00133	0.0121	0.495179
46	-0.078265	-0.713	0.238913
47	-0.002468	-0.0225	0.491059
48	0.024221	0.2207	0.412948

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.069905 & 0.6369 & 0.262983 \tabularnewline
2 & -0.123168 & -1.1221 & 0.132525 \tabularnewline
3 & -0.23339 & -2.1263 & 0.018225 \tabularnewline
4 & -0.004792 & -0.0437 & 0.48264 \tabularnewline
5 & -0.11488 & -1.0466 & 0.149159 \tabularnewline
6 & -0.17706 & -1.6131 & 0.05526 \tabularnewline
7 & -0.108205 & -0.9858 & 0.163549 \tabularnewline
8 & -0.044271 & -0.4033 & 0.343871 \tabularnewline
9 & -0.032262 & -0.2939 & 0.384776 \tabularnewline
10 & -0.125834 & -1.1464 & 0.127462 \tabularnewline
11 & 0.066249 & 0.6036 & 0.273891 \tabularnewline
12 & -0.014823 & -0.135 & 0.446453 \tabularnewline
13 & -0.096858 & -0.8824 & 0.190049 \tabularnewline
14 & -0.081836 & -0.7456 & 0.22902 \tabularnewline
15 & 0.022 & 0.2004 & 0.420817 \tabularnewline
16 & -0.019852 & -0.1809 & 0.428457 \tabularnewline
17 & 0.001657 & 0.0151 & 0.493995 \tabularnewline
18 & -0.019468 & -0.1774 & 0.429829 \tabularnewline
19 & -0.138765 & -1.2642 & 0.104847 \tabularnewline
20 & -0.081128 & -0.7391 & 0.230962 \tabularnewline
21 & -0.06746 & -0.6146 & 0.270254 \tabularnewline
22 & 0.147033 & 1.3395 & 0.092027 \tabularnewline
23 & 0.002203 & 0.0201 & 0.492017 \tabularnewline
24 & -0.087575 & -0.7978 & 0.213619 \tabularnewline
25 & 0.115506 & 1.0523 & 0.147855 \tabularnewline
26 & 0.064232 & 0.5852 & 0.280005 \tabularnewline
27 & 0.105621 & 0.9623 & 0.169359 \tabularnewline
28 & 0.154116 & 1.4041 & 0.082016 \tabularnewline
29 & 0.056166 & 0.5117 & 0.305113 \tabularnewline
30 & 0.003904 & 0.0356 & 0.485858 \tabularnewline
31 & -0.015813 & -0.1441 & 0.442899 \tabularnewline
32 & -0.056088 & -0.511 & 0.305358 \tabularnewline
33 & 0.041541 & 0.3785 & 0.353029 \tabularnewline
34 & -0.032287 & -0.2941 & 0.384689 \tabularnewline
35 & -0.00704 & -0.0641 & 0.474509 \tabularnewline
36 & 0.023509 & 0.2142 & 0.415467 \tabularnewline
37 & 0.101881 & 0.9282 & 0.178002 \tabularnewline
38 & -0.006489 & -0.0591 & 0.4765 \tabularnewline
39 & -0.023727 & -0.2162 & 0.414696 \tabularnewline
40 & -0.049026 & -0.4466 & 0.328146 \tabularnewline
41 & -0.018593 & -0.1694 & 0.432951 \tabularnewline
42 & -0.054008 & -0.492 & 0.311996 \tabularnewline
43 & 0.079062 & 0.7203 & 0.236685 \tabularnewline
44 & 0.032244 & 0.2938 & 0.384837 \tabularnewline
45 & 0.00133 & 0.0121 & 0.495179 \tabularnewline
46 & -0.078265 & -0.713 & 0.238913 \tabularnewline
47 & -0.002468 & -0.0225 & 0.491059 \tabularnewline
48 & 0.024221 & 0.2207 & 0.412948 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32145&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]0.069905[/C][C]0.6369[/C][C]0.262983[/C][/ROW]
[ROW][C]2[/C][C]-0.123168[/C][C]-1.1221[/C][C]0.132525[/C][/ROW]
[ROW][C]3[/C][C]-0.23339[/C][C]-2.1263[/C][C]0.018225[/C][/ROW]
[ROW][C]4[/C][C]-0.004792[/C][C]-0.0437[/C][C]0.48264[/C][/ROW]
[ROW][C]5[/C][C]-0.11488[/C][C]-1.0466[/C][C]0.149159[/C][/ROW]
[ROW][C]6[/C][C]-0.17706[/C][C]-1.6131[/C][C]0.05526[/C][/ROW]
[ROW][C]7[/C][C]-0.108205[/C][C]-0.9858[/C][C]0.163549[/C][/ROW]
[ROW][C]8[/C][C]-0.044271[/C][C]-0.4033[/C][C]0.343871[/C][/ROW]
[ROW][C]9[/C][C]-0.032262[/C][C]-0.2939[/C][C]0.384776[/C][/ROW]
[ROW][C]10[/C][C]-0.125834[/C][C]-1.1464[/C][C]0.127462[/C][/ROW]
[ROW][C]11[/C][C]0.066249[/C][C]0.6036[/C][C]0.273891[/C][/ROW]
[ROW][C]12[/C][C]-0.014823[/C][C]-0.135[/C][C]0.446453[/C][/ROW]
[ROW][C]13[/C][C]-0.096858[/C][C]-0.8824[/C][C]0.190049[/C][/ROW]
[ROW][C]14[/C][C]-0.081836[/C][C]-0.7456[/C][C]0.22902[/C][/ROW]
[ROW][C]15[/C][C]0.022[/C][C]0.2004[/C][C]0.420817[/C][/ROW]
[ROW][C]16[/C][C]-0.019852[/C][C]-0.1809[/C][C]0.428457[/C][/ROW]
[ROW][C]17[/C][C]0.001657[/C][C]0.0151[/C][C]0.493995[/C][/ROW]
[ROW][C]18[/C][C]-0.019468[/C][C]-0.1774[/C][C]0.429829[/C][/ROW]
[ROW][C]19[/C][C]-0.138765[/C][C]-1.2642[/C][C]0.104847[/C][/ROW]
[ROW][C]20[/C][C]-0.081128[/C][C]-0.7391[/C][C]0.230962[/C][/ROW]
[ROW][C]21[/C][C]-0.06746[/C][C]-0.6146[/C][C]0.270254[/C][/ROW]
[ROW][C]22[/C][C]0.147033[/C][C]1.3395[/C][C]0.092027[/C][/ROW]
[ROW][C]23[/C][C]0.002203[/C][C]0.0201[/C][C]0.492017[/C][/ROW]
[ROW][C]24[/C][C]-0.087575[/C][C]-0.7978[/C][C]0.213619[/C][/ROW]
[ROW][C]25[/C][C]0.115506[/C][C]1.0523[/C][C]0.147855[/C][/ROW]
[ROW][C]26[/C][C]0.064232[/C][C]0.5852[/C][C]0.280005[/C][/ROW]
[ROW][C]27[/C][C]0.105621[/C][C]0.9623[/C][C]0.169359[/C][/ROW]
[ROW][C]28[/C][C]0.154116[/C][C]1.4041[/C][C]0.082016[/C][/ROW]
[ROW][C]29[/C][C]0.056166[/C][C]0.5117[/C][C]0.305113[/C][/ROW]
[ROW][C]30[/C][C]0.003904[/C][C]0.0356[/C][C]0.485858[/C][/ROW]
[ROW][C]31[/C][C]-0.015813[/C][C]-0.1441[/C][C]0.442899[/C][/ROW]
[ROW][C]32[/C][C]-0.056088[/C][C]-0.511[/C][C]0.305358[/C][/ROW]
[ROW][C]33[/C][C]0.041541[/C][C]0.3785[/C][C]0.353029[/C][/ROW]
[ROW][C]34[/C][C]-0.032287[/C][C]-0.2941[/C][C]0.384689[/C][/ROW]
[ROW][C]35[/C][C]-0.00704[/C][C]-0.0641[/C][C]0.474509[/C][/ROW]
[ROW][C]36[/C][C]0.023509[/C][C]0.2142[/C][C]0.415467[/C][/ROW]
[ROW][C]37[/C][C]0.101881[/C][C]0.9282[/C][C]0.178002[/C][/ROW]
[ROW][C]38[/C][C]-0.006489[/C][C]-0.0591[/C][C]0.4765[/C][/ROW]
[ROW][C]39[/C][C]-0.023727[/C][C]-0.2162[/C][C]0.414696[/C][/ROW]
[ROW][C]40[/C][C]-0.049026[/C][C]-0.4466[/C][C]0.328146[/C][/ROW]
[ROW][C]41[/C][C]-0.018593[/C][C]-0.1694[/C][C]0.432951[/C][/ROW]
[ROW][C]42[/C][C]-0.054008[/C][C]-0.492[/C][C]0.311996[/C][/ROW]
[ROW][C]43[/C][C]0.079062[/C][C]0.7203[/C][C]0.236685[/C][/ROW]
[ROW][C]44[/C][C]0.032244[/C][C]0.2938[/C][C]0.384837[/C][/ROW]
[ROW][C]45[/C][C]0.00133[/C][C]0.0121[/C][C]0.495179[/C][/ROW]
[ROW][C]46[/C][C]-0.078265[/C][C]-0.713[/C][C]0.238913[/C][/ROW]
[ROW][C]47[/C][C]-0.002468[/C][C]-0.0225[/C][C]0.491059[/C][/ROW]
[ROW][C]48[/C][C]0.024221[/C][C]0.2207[/C][C]0.412948[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32145&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32145&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	0.069905	0.6369	0.262983
2	-0.123168	-1.1221	0.132525
3	-0.23339	-2.1263	0.018225
4	-0.004792	-0.0437	0.48264
5	-0.11488	-1.0466	0.149159
6	-0.17706	-1.6131	0.05526
7	-0.108205	-0.9858	0.163549
8	-0.044271	-0.4033	0.343871
9	-0.032262	-0.2939	0.384776
10	-0.125834	-1.1464	0.127462
11	0.066249	0.6036	0.273891
12	-0.014823	-0.135	0.446453
13	-0.096858	-0.8824	0.190049
14	-0.081836	-0.7456	0.22902
15	0.022	0.2004	0.420817
16	-0.019852	-0.1809	0.428457
17	0.001657	0.0151	0.493995
18	-0.019468	-0.1774	0.429829
19	-0.138765	-1.2642	0.104847
20	-0.081128	-0.7391	0.230962
21	-0.06746	-0.6146	0.270254
22	0.147033	1.3395	0.092027
23	0.002203	0.0201	0.492017
24	-0.087575	-0.7978	0.213619
25	0.115506	1.0523	0.147855
26	0.064232	0.5852	0.280005
27	0.105621	0.9623	0.169359
28	0.154116	1.4041	0.082016
29	0.056166	0.5117	0.305113
30	0.003904	0.0356	0.485858
31	-0.015813	-0.1441	0.442899
32	-0.056088	-0.511	0.305358
33	0.041541	0.3785	0.353029
34	-0.032287	-0.2941	0.384689
35	-0.00704	-0.0641	0.474509
36	0.023509	0.2142	0.415467
37	0.101881	0.9282	0.178002
38	-0.006489	-0.0591	0.4765
39	-0.023727	-0.2162	0.414696
40	-0.049026	-0.4466	0.328146
41	-0.018593	-0.1694	0.432951
42	-0.054008	-0.492	0.311996
43	0.079062	0.7203	0.236685
44	0.032244	0.2938	0.384837
45	0.00133	0.0121	0.495179
46	-0.078265	-0.713	0.238913
47	-0.002468	-0.0225	0.491059
48	0.024221	0.2207	0.412948

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 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; 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 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