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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 27 Nov 2007 05:29:28 -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/t11961660840kn54dv8tx2ew9x.htm/, Retrieved Sun, 05 May 2024 18:01:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6858, Retrieved Sun, 05 May 2024 18:01:18 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Q2, reeks 1

Estimated Impact

185

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 12:29:28] [e38ae300fa323c405e42b78372d772d6] [Current]
- R  D    [(Partial) Autocorrelation Function] [Autocorrelation f...] [2008-12-19 15:57:11] [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	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6858&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6858&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6858&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	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	9	0
1	0.023406	0.2107	0.416842
2	-0.327401	-2.9466	0.997903
3	-0.105708	-0.9514	0.827878
4	0.178184	1.6037	0.056341
5	0.058317	0.5249	0.300559
6	0.053273	0.4795	0.316452
7	0.014034	0.1263	0.449902
8	0.169772	1.5279	0.065211
9	-0.16321	-1.4689	0.927132
10	-0.377226	-3.395	0.999467
11	-0.023143	-0.2083	0.582237
12	0.722852	6.5057	0
13	-0.055348	-0.4981	0.690129
14	-0.297943	-2.6815	0.99556
15	-0.160678	-1.4461	0.923997
16	0.06479	0.5831	0.280721
17	0.023213	0.2089	0.41752
18	-0.002366	-0.0213	0.508468
19	-0.02632	-0.2369	0.593328
20	0.147769	1.3299	0.093638
21	-0.137971	-1.2417	0.891042
22	-0.340388	-3.0635	0.998515
23	0.004577	0.0412	0.48362
24	0.565434	5.0889	1e-06
25	-0.030999	-0.279	0.609518
26	-0.20008	-1.8007	0.962265
27	-0.147069	-1.3236	0.905323
28	0.044791	0.4031	0.343963
29	0.0599	0.5391	0.295649
30	-0.030668	-0.276	0.608379
31	-0.025308	-0.2278	0.589801
32	0.152723	1.3745	0.086538
33	-0.118946	-1.0705	0.856217
34	-0.29473	-2.6526	0.995195
35	-0.015397	-0.1386	0.554933
36	0.436368	3.9273	9e-05
37	-0.016474	-0.1483	0.558748
38	-0.136867	-1.2318	0.889206
39	-0.130533	-1.1748	0.878242
40	0.032121	0.2891	0.386628
41	0.030314	0.2728	0.39284
42	-0.02678	-0.241	0.594925
43	-0.04555	-0.4099	0.658537
44	0.126917	1.1422	0.128358
45	-0.110821	-0.9974	0.839227
46	-0.235955	-2.1236	0.981622
47	-0.017275	-0.1555	0.561583

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9 & 0 \tabularnewline
1 & 0.023406 & 0.2107 & 0.416842 \tabularnewline
2 & -0.327401 & -2.9466 & 0.997903 \tabularnewline
3 & -0.105708 & -0.9514 & 0.827878 \tabularnewline
4 & 0.178184 & 1.6037 & 0.056341 \tabularnewline
5 & 0.058317 & 0.5249 & 0.300559 \tabularnewline
6 & 0.053273 & 0.4795 & 0.316452 \tabularnewline
7 & 0.014034 & 0.1263 & 0.449902 \tabularnewline
8 & 0.169772 & 1.5279 & 0.065211 \tabularnewline
9 & -0.16321 & -1.4689 & 0.927132 \tabularnewline
10 & -0.377226 & -3.395 & 0.999467 \tabularnewline
11 & -0.023143 & -0.2083 & 0.582237 \tabularnewline
12 & 0.722852 & 6.5057 & 0 \tabularnewline
13 & -0.055348 & -0.4981 & 0.690129 \tabularnewline
14 & -0.297943 & -2.6815 & 0.99556 \tabularnewline
15 & -0.160678 & -1.4461 & 0.923997 \tabularnewline
16 & 0.06479 & 0.5831 & 0.280721 \tabularnewline
17 & 0.023213 & 0.2089 & 0.41752 \tabularnewline
18 & -0.002366 & -0.0213 & 0.508468 \tabularnewline
19 & -0.02632 & -0.2369 & 0.593328 \tabularnewline
20 & 0.147769 & 1.3299 & 0.093638 \tabularnewline
21 & -0.137971 & -1.2417 & 0.891042 \tabularnewline
22 & -0.340388 & -3.0635 & 0.998515 \tabularnewline
23 & 0.004577 & 0.0412 & 0.48362 \tabularnewline
24 & 0.565434 & 5.0889 & 1e-06 \tabularnewline
25 & -0.030999 & -0.279 & 0.609518 \tabularnewline
26 & -0.20008 & -1.8007 & 0.962265 \tabularnewline
27 & -0.147069 & -1.3236 & 0.905323 \tabularnewline
28 & 0.044791 & 0.4031 & 0.343963 \tabularnewline
29 & 0.0599 & 0.5391 & 0.295649 \tabularnewline
30 & -0.030668 & -0.276 & 0.608379 \tabularnewline
31 & -0.025308 & -0.2278 & 0.589801 \tabularnewline
32 & 0.152723 & 1.3745 & 0.086538 \tabularnewline
33 & -0.118946 & -1.0705 & 0.856217 \tabularnewline
34 & -0.29473 & -2.6526 & 0.995195 \tabularnewline
35 & -0.015397 & -0.1386 & 0.554933 \tabularnewline
36 & 0.436368 & 3.9273 & 9e-05 \tabularnewline
37 & -0.016474 & -0.1483 & 0.558748 \tabularnewline
38 & -0.136867 & -1.2318 & 0.889206 \tabularnewline
39 & -0.130533 & -1.1748 & 0.878242 \tabularnewline
40 & 0.032121 & 0.2891 & 0.386628 \tabularnewline
41 & 0.030314 & 0.2728 & 0.39284 \tabularnewline
42 & -0.02678 & -0.241 & 0.594925 \tabularnewline
43 & -0.04555 & -0.4099 & 0.658537 \tabularnewline
44 & 0.126917 & 1.1422 & 0.128358 \tabularnewline
45 & -0.110821 & -0.9974 & 0.839227 \tabularnewline
46 & -0.235955 & -2.1236 & 0.981622 \tabularnewline
47 & -0.017275 & -0.1555 & 0.561583 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6858&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]9[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.023406[/C][C]0.2107[/C][C]0.416842[/C][/ROW]
[ROW][C]2[/C][C]-0.327401[/C][C]-2.9466[/C][C]0.997903[/C][/ROW]
[ROW][C]3[/C][C]-0.105708[/C][C]-0.9514[/C][C]0.827878[/C][/ROW]
[ROW][C]4[/C][C]0.178184[/C][C]1.6037[/C][C]0.056341[/C][/ROW]
[ROW][C]5[/C][C]0.058317[/C][C]0.5249[/C][C]0.300559[/C][/ROW]
[ROW][C]6[/C][C]0.053273[/C][C]0.4795[/C][C]0.316452[/C][/ROW]
[ROW][C]7[/C][C]0.014034[/C][C]0.1263[/C][C]0.449902[/C][/ROW]
[ROW][C]8[/C][C]0.169772[/C][C]1.5279[/C][C]0.065211[/C][/ROW]
[ROW][C]9[/C][C]-0.16321[/C][C]-1.4689[/C][C]0.927132[/C][/ROW]
[ROW][C]10[/C][C]-0.377226[/C][C]-3.395[/C][C]0.999467[/C][/ROW]
[ROW][C]11[/C][C]-0.023143[/C][C]-0.2083[/C][C]0.582237[/C][/ROW]
[ROW][C]12[/C][C]0.722852[/C][C]6.5057[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.055348[/C][C]-0.4981[/C][C]0.690129[/C][/ROW]
[ROW][C]14[/C][C]-0.297943[/C][C]-2.6815[/C][C]0.99556[/C][/ROW]
[ROW][C]15[/C][C]-0.160678[/C][C]-1.4461[/C][C]0.923997[/C][/ROW]
[ROW][C]16[/C][C]0.06479[/C][C]0.5831[/C][C]0.280721[/C][/ROW]
[ROW][C]17[/C][C]0.023213[/C][C]0.2089[/C][C]0.41752[/C][/ROW]
[ROW][C]18[/C][C]-0.002366[/C][C]-0.0213[/C][C]0.508468[/C][/ROW]
[ROW][C]19[/C][C]-0.02632[/C][C]-0.2369[/C][C]0.593328[/C][/ROW]
[ROW][C]20[/C][C]0.147769[/C][C]1.3299[/C][C]0.093638[/C][/ROW]
[ROW][C]21[/C][C]-0.137971[/C][C]-1.2417[/C][C]0.891042[/C][/ROW]
[ROW][C]22[/C][C]-0.340388[/C][C]-3.0635[/C][C]0.998515[/C][/ROW]
[ROW][C]23[/C][C]0.004577[/C][C]0.0412[/C][C]0.48362[/C][/ROW]
[ROW][C]24[/C][C]0.565434[/C][C]5.0889[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]-0.030999[/C][C]-0.279[/C][C]0.609518[/C][/ROW]
[ROW][C]26[/C][C]-0.20008[/C][C]-1.8007[/C][C]0.962265[/C][/ROW]
[ROW][C]27[/C][C]-0.147069[/C][C]-1.3236[/C][C]0.905323[/C][/ROW]
[ROW][C]28[/C][C]0.044791[/C][C]0.4031[/C][C]0.343963[/C][/ROW]
[ROW][C]29[/C][C]0.0599[/C][C]0.5391[/C][C]0.295649[/C][/ROW]
[ROW][C]30[/C][C]-0.030668[/C][C]-0.276[/C][C]0.608379[/C][/ROW]
[ROW][C]31[/C][C]-0.025308[/C][C]-0.2278[/C][C]0.589801[/C][/ROW]
[ROW][C]32[/C][C]0.152723[/C][C]1.3745[/C][C]0.086538[/C][/ROW]
[ROW][C]33[/C][C]-0.118946[/C][C]-1.0705[/C][C]0.856217[/C][/ROW]
[ROW][C]34[/C][C]-0.29473[/C][C]-2.6526[/C][C]0.995195[/C][/ROW]
[ROW][C]35[/C][C]-0.015397[/C][C]-0.1386[/C][C]0.554933[/C][/ROW]
[ROW][C]36[/C][C]0.436368[/C][C]3.9273[/C][C]9e-05[/C][/ROW]
[ROW][C]37[/C][C]-0.016474[/C][C]-0.1483[/C][C]0.558748[/C][/ROW]
[ROW][C]38[/C][C]-0.136867[/C][C]-1.2318[/C][C]0.889206[/C][/ROW]
[ROW][C]39[/C][C]-0.130533[/C][C]-1.1748[/C][C]0.878242[/C][/ROW]
[ROW][C]40[/C][C]0.032121[/C][C]0.2891[/C][C]0.386628[/C][/ROW]
[ROW][C]41[/C][C]0.030314[/C][C]0.2728[/C][C]0.39284[/C][/ROW]
[ROW][C]42[/C][C]-0.02678[/C][C]-0.241[/C][C]0.594925[/C][/ROW]
[ROW][C]43[/C][C]-0.04555[/C][C]-0.4099[/C][C]0.658537[/C][/ROW]
[ROW][C]44[/C][C]0.126917[/C][C]1.1422[/C][C]0.128358[/C][/ROW]
[ROW][C]45[/C][C]-0.110821[/C][C]-0.9974[/C][C]0.839227[/C][/ROW]
[ROW][C]46[/C][C]-0.235955[/C][C]-2.1236[/C][C]0.981622[/C][/ROW]
[ROW][C]47[/C][C]-0.017275[/C][C]-0.1555[/C][C]0.561583[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6858&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6858&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	9	0
1	0.023406	0.2107	0.416842
2	-0.327401	-2.9466	0.997903
3	-0.105708	-0.9514	0.827878
4	0.178184	1.6037	0.056341
5	0.058317	0.5249	0.300559
6	0.053273	0.4795	0.316452
7	0.014034	0.1263	0.449902
8	0.169772	1.5279	0.065211
9	-0.16321	-1.4689	0.927132
10	-0.377226	-3.395	0.999467
11	-0.023143	-0.2083	0.582237
12	0.722852	6.5057	0
13	-0.055348	-0.4981	0.690129
14	-0.297943	-2.6815	0.99556
15	-0.160678	-1.4461	0.923997
16	0.06479	0.5831	0.280721
17	0.023213	0.2089	0.41752
18	-0.002366	-0.0213	0.508468
19	-0.02632	-0.2369	0.593328
20	0.147769	1.3299	0.093638
21	-0.137971	-1.2417	0.891042
22	-0.340388	-3.0635	0.998515
23	0.004577	0.0412	0.48362
24	0.565434	5.0889	1e-06
25	-0.030999	-0.279	0.609518
26	-0.20008	-1.8007	0.962265
27	-0.147069	-1.3236	0.905323
28	0.044791	0.4031	0.343963
29	0.0599	0.5391	0.295649
30	-0.030668	-0.276	0.608379
31	-0.025308	-0.2278	0.589801
32	0.152723	1.3745	0.086538
33	-0.118946	-1.0705	0.856217
34	-0.29473	-2.6526	0.995195
35	-0.015397	-0.1386	0.554933
36	0.436368	3.9273	9e-05
37	-0.016474	-0.1483	0.558748
38	-0.136867	-1.2318	0.889206
39	-0.130533	-1.1748	0.878242
40	0.032121	0.2891	0.386628
41	0.030314	0.2728	0.39284
42	-0.02678	-0.241	0.594925
43	-0.04555	-0.4099	0.658537
44	0.126917	1.1422	0.128358
45	-0.110821	-0.9974	0.839227
46	-0.235955	-2.1236	0.981622
47	-0.017275	-0.1555	0.561583

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.023406	0.2107	0.416842
1	-0.328129	-2.9532	0.997942
2	-0.098504	-0.8865	0.811024
3	0.08371	0.7534	0.2267
4	-0.009799	-0.0882	0.535028
5	0.140275	1.2625	0.1052
6	0.062365	0.5613	0.288078
7	0.249464	2.2452	0.013741
8	-0.155195	-1.3968	0.916848
9	-0.350125	-3.1511	0.99886
10	-0.157931	-1.4214	0.920477
11	0.616797	5.5512	0
12	-0.182189	-1.6397	0.947527
13	0.053473	0.4813	0.315816
14	-0.148956	-1.3406	0.908101
15	-0.153825	-1.3844	0.914984
16	-0.067222	-0.605	0.726565
17	-0.099212	-0.8929	0.812723
18	-0.021127	-0.1901	0.575163
19	-0.038988	-0.3509	0.63671
20	0.127331	1.146	0.12759
21	0.025545	0.2299	0.409373
22	0.089432	0.8049	0.211621
23	0.009285	0.0836	0.466803
24	0.006906	0.0622	0.475297
25	-0.011511	-0.1036	0.541126
26	-0.080163	-0.7215	0.763649
27	-0.027717	-0.2495	0.598179
28	-0.025094	-0.2258	0.589053
29	-0.07796	-0.7016	0.757544
30	-0.00608	-0.0547	0.521753
31	0.002935	0.0264	0.489496
32	-0.018099	-0.1629	0.564494
33	0.020899	0.1881	0.425638
34	-0.087494	-0.7874	0.78334
35	0.033816	0.3043	0.380823
36	-0.048297	-0.4347	0.667522
37	0.040104	0.3609	0.359544
38	0.031094	0.2798	0.390155
39	-0.000198	-0.0018	0.50071
40	-0.095559	-0.86	0.803845
41	0.05479	0.4931	0.311635
42	-0.140206	-1.2619	0.894688
43	-0.066945	-0.6025	0.725739
44	-0.059951	-0.5396	0.70451
45	-0.007993	-0.0719	0.528587
46	0.038829	0.3495	0.363825
47	-0.097708	-0.8794	0.809099

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.023406 & 0.2107 & 0.416842 \tabularnewline
1 & -0.328129 & -2.9532 & 0.997942 \tabularnewline
2 & -0.098504 & -0.8865 & 0.811024 \tabularnewline
3 & 0.08371 & 0.7534 & 0.2267 \tabularnewline
4 & -0.009799 & -0.0882 & 0.535028 \tabularnewline
5 & 0.140275 & 1.2625 & 0.1052 \tabularnewline
6 & 0.062365 & 0.5613 & 0.288078 \tabularnewline
7 & 0.249464 & 2.2452 & 0.013741 \tabularnewline
8 & -0.155195 & -1.3968 & 0.916848 \tabularnewline
9 & -0.350125 & -3.1511 & 0.99886 \tabularnewline
10 & -0.157931 & -1.4214 & 0.920477 \tabularnewline
11 & 0.616797 & 5.5512 & 0 \tabularnewline
12 & -0.182189 & -1.6397 & 0.947527 \tabularnewline
13 & 0.053473 & 0.4813 & 0.315816 \tabularnewline
14 & -0.148956 & -1.3406 & 0.908101 \tabularnewline
15 & -0.153825 & -1.3844 & 0.914984 \tabularnewline
16 & -0.067222 & -0.605 & 0.726565 \tabularnewline
17 & -0.099212 & -0.8929 & 0.812723 \tabularnewline
18 & -0.021127 & -0.1901 & 0.575163 \tabularnewline
19 & -0.038988 & -0.3509 & 0.63671 \tabularnewline
20 & 0.127331 & 1.146 & 0.12759 \tabularnewline
21 & 0.025545 & 0.2299 & 0.409373 \tabularnewline
22 & 0.089432 & 0.8049 & 0.211621 \tabularnewline
23 & 0.009285 & 0.0836 & 0.466803 \tabularnewline
24 & 0.006906 & 0.0622 & 0.475297 \tabularnewline
25 & -0.011511 & -0.1036 & 0.541126 \tabularnewline
26 & -0.080163 & -0.7215 & 0.763649 \tabularnewline
27 & -0.027717 & -0.2495 & 0.598179 \tabularnewline
28 & -0.025094 & -0.2258 & 0.589053 \tabularnewline
29 & -0.07796 & -0.7016 & 0.757544 \tabularnewline
30 & -0.00608 & -0.0547 & 0.521753 \tabularnewline
31 & 0.002935 & 0.0264 & 0.489496 \tabularnewline
32 & -0.018099 & -0.1629 & 0.564494 \tabularnewline
33 & 0.020899 & 0.1881 & 0.425638 \tabularnewline
34 & -0.087494 & -0.7874 & 0.78334 \tabularnewline
35 & 0.033816 & 0.3043 & 0.380823 \tabularnewline
36 & -0.048297 & -0.4347 & 0.667522 \tabularnewline
37 & 0.040104 & 0.3609 & 0.359544 \tabularnewline
38 & 0.031094 & 0.2798 & 0.390155 \tabularnewline
39 & -0.000198 & -0.0018 & 0.50071 \tabularnewline
40 & -0.095559 & -0.86 & 0.803845 \tabularnewline
41 & 0.05479 & 0.4931 & 0.311635 \tabularnewline
42 & -0.140206 & -1.2619 & 0.894688 \tabularnewline
43 & -0.066945 & -0.6025 & 0.725739 \tabularnewline
44 & -0.059951 & -0.5396 & 0.70451 \tabularnewline
45 & -0.007993 & -0.0719 & 0.528587 \tabularnewline
46 & 0.038829 & 0.3495 & 0.363825 \tabularnewline
47 & -0.097708 & -0.8794 & 0.809099 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6858&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]0.023406[/C][C]0.2107[/C][C]0.416842[/C][/ROW]
[ROW][C]1[/C][C]-0.328129[/C][C]-2.9532[/C][C]0.997942[/C][/ROW]
[ROW][C]2[/C][C]-0.098504[/C][C]-0.8865[/C][C]0.811024[/C][/ROW]
[ROW][C]3[/C][C]0.08371[/C][C]0.7534[/C][C]0.2267[/C][/ROW]
[ROW][C]4[/C][C]-0.009799[/C][C]-0.0882[/C][C]0.535028[/C][/ROW]
[ROW][C]5[/C][C]0.140275[/C][C]1.2625[/C][C]0.1052[/C][/ROW]
[ROW][C]6[/C][C]0.062365[/C][C]0.5613[/C][C]0.288078[/C][/ROW]
[ROW][C]7[/C][C]0.249464[/C][C]2.2452[/C][C]0.013741[/C][/ROW]
[ROW][C]8[/C][C]-0.155195[/C][C]-1.3968[/C][C]0.916848[/C][/ROW]
[ROW][C]9[/C][C]-0.350125[/C][C]-3.1511[/C][C]0.99886[/C][/ROW]
[ROW][C]10[/C][C]-0.157931[/C][C]-1.4214[/C][C]0.920477[/C][/ROW]
[ROW][C]11[/C][C]0.616797[/C][C]5.5512[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]-0.182189[/C][C]-1.6397[/C][C]0.947527[/C][/ROW]
[ROW][C]13[/C][C]0.053473[/C][C]0.4813[/C][C]0.315816[/C][/ROW]
[ROW][C]14[/C][C]-0.148956[/C][C]-1.3406[/C][C]0.908101[/C][/ROW]
[ROW][C]15[/C][C]-0.153825[/C][C]-1.3844[/C][C]0.914984[/C][/ROW]
[ROW][C]16[/C][C]-0.067222[/C][C]-0.605[/C][C]0.726565[/C][/ROW]
[ROW][C]17[/C][C]-0.099212[/C][C]-0.8929[/C][C]0.812723[/C][/ROW]
[ROW][C]18[/C][C]-0.021127[/C][C]-0.1901[/C][C]0.575163[/C][/ROW]
[ROW][C]19[/C][C]-0.038988[/C][C]-0.3509[/C][C]0.63671[/C][/ROW]
[ROW][C]20[/C][C]0.127331[/C][C]1.146[/C][C]0.12759[/C][/ROW]
[ROW][C]21[/C][C]0.025545[/C][C]0.2299[/C][C]0.409373[/C][/ROW]
[ROW][C]22[/C][C]0.089432[/C][C]0.8049[/C][C]0.211621[/C][/ROW]
[ROW][C]23[/C][C]0.009285[/C][C]0.0836[/C][C]0.466803[/C][/ROW]
[ROW][C]24[/C][C]0.006906[/C][C]0.0622[/C][C]0.475297[/C][/ROW]
[ROW][C]25[/C][C]-0.011511[/C][C]-0.1036[/C][C]0.541126[/C][/ROW]
[ROW][C]26[/C][C]-0.080163[/C][C]-0.7215[/C][C]0.763649[/C][/ROW]
[ROW][C]27[/C][C]-0.027717[/C][C]-0.2495[/C][C]0.598179[/C][/ROW]
[ROW][C]28[/C][C]-0.025094[/C][C]-0.2258[/C][C]0.589053[/C][/ROW]
[ROW][C]29[/C][C]-0.07796[/C][C]-0.7016[/C][C]0.757544[/C][/ROW]
[ROW][C]30[/C][C]-0.00608[/C][C]-0.0547[/C][C]0.521753[/C][/ROW]
[ROW][C]31[/C][C]0.002935[/C][C]0.0264[/C][C]0.489496[/C][/ROW]
[ROW][C]32[/C][C]-0.018099[/C][C]-0.1629[/C][C]0.564494[/C][/ROW]
[ROW][C]33[/C][C]0.020899[/C][C]0.1881[/C][C]0.425638[/C][/ROW]
[ROW][C]34[/C][C]-0.087494[/C][C]-0.7874[/C][C]0.78334[/C][/ROW]
[ROW][C]35[/C][C]0.033816[/C][C]0.3043[/C][C]0.380823[/C][/ROW]
[ROW][C]36[/C][C]-0.048297[/C][C]-0.4347[/C][C]0.667522[/C][/ROW]
[ROW][C]37[/C][C]0.040104[/C][C]0.3609[/C][C]0.359544[/C][/ROW]
[ROW][C]38[/C][C]0.031094[/C][C]0.2798[/C][C]0.390155[/C][/ROW]
[ROW][C]39[/C][C]-0.000198[/C][C]-0.0018[/C][C]0.50071[/C][/ROW]
[ROW][C]40[/C][C]-0.095559[/C][C]-0.86[/C][C]0.803845[/C][/ROW]
[ROW][C]41[/C][C]0.05479[/C][C]0.4931[/C][C]0.311635[/C][/ROW]
[ROW][C]42[/C][C]-0.140206[/C][C]-1.2619[/C][C]0.894688[/C][/ROW]
[ROW][C]43[/C][C]-0.066945[/C][C]-0.6025[/C][C]0.725739[/C][/ROW]
[ROW][C]44[/C][C]-0.059951[/C][C]-0.5396[/C][C]0.70451[/C][/ROW]
[ROW][C]45[/C][C]-0.007993[/C][C]-0.0719[/C][C]0.528587[/C][/ROW]
[ROW][C]46[/C][C]0.038829[/C][C]0.3495[/C][C]0.363825[/C][/ROW]
[ROW][C]47[/C][C]-0.097708[/C][C]-0.8794[/C][C]0.809099[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6858&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6858&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	0.023406	0.2107	0.416842
1	-0.328129	-2.9532	0.997942
2	-0.098504	-0.8865	0.811024
3	0.08371	0.7534	0.2267
4	-0.009799	-0.0882	0.535028
5	0.140275	1.2625	0.1052
6	0.062365	0.5613	0.288078
7	0.249464	2.2452	0.013741
8	-0.155195	-1.3968	0.916848
9	-0.350125	-3.1511	0.99886
10	-0.157931	-1.4214	0.920477
11	0.616797	5.5512	0
12	-0.182189	-1.6397	0.947527
13	0.053473	0.4813	0.315816
14	-0.148956	-1.3406	0.908101
15	-0.153825	-1.3844	0.914984
16	-0.067222	-0.605	0.726565
17	-0.099212	-0.8929	0.812723
18	-0.021127	-0.1901	0.575163
19	-0.038988	-0.3509	0.63671
20	0.127331	1.146	0.12759
21	0.025545	0.2299	0.409373
22	0.089432	0.8049	0.211621
23	0.009285	0.0836	0.466803
24	0.006906	0.0622	0.475297
25	-0.011511	-0.1036	0.541126
26	-0.080163	-0.7215	0.763649
27	-0.027717	-0.2495	0.598179
28	-0.025094	-0.2258	0.589053
29	-0.07796	-0.7016	0.757544
30	-0.00608	-0.0547	0.521753
31	0.002935	0.0264	0.489496
32	-0.018099	-0.1629	0.564494
33	0.020899	0.1881	0.425638
34	-0.087494	-0.7874	0.78334
35	0.033816	0.3043	0.380823
36	-0.048297	-0.4347	0.667522
37	0.040104	0.3609	0.359544
38	0.031094	0.2798	0.390155
39	-0.000198	-0.0018	0.50071
40	-0.095559	-0.86	0.803845
41	0.05479	0.4931	0.311635
42	-0.140206	-1.2619	0.894688
43	-0.066945	-0.6025	0.725739
44	-0.059951	-0.5396	0.70451
45	-0.007993	-0.0719	0.528587
46	0.038829	0.3495	0.363825
47	-0.097708	-0.8794	0.809099

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

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

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

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