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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Sat, 17 Dec 2016 16:02:10 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/17/t1481987067lgja3zzorpknepz.htm/, Retrieved Thu, 02 May 2024 03:51:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300842, Retrieved Thu, 02 May 2024 03:51:10 +0000

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-       [(Partial) Autocorrelation Function] [""N2582"" autocorr 2] [2016-12-17 15:02:10] [afe7f6443461a2cd6ee0b843643e84a9] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300842&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

1 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300842&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300842&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	Big Analytics Cloud Computing Center

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.083764	-0.8983	0.18546
2	-0.261259	-2.8017	0.002983
3	0.263044	2.8208	0.002822
4	0.082529	0.885	0.188996
5	-0.147866	-1.5857	0.057778
6	0.020814	0.2232	0.411884
7	-0.149055	-1.5984	0.056345
8	0.103777	1.1129	0.13404
9	0.220806	2.3679	0.00978
10	-0.335471	-3.5975	0.000237
11	-0.252264	-2.7052	0.003932
12	0.618384	6.6314	0
13	-0.278198	-2.9833	0.001741
14	-0.278889	-2.9907	0.001703
15	0.263431	2.825	0.002788
16	0.0613	0.6574	0.256129
17	-0.066761	-0.7159	0.237741
18	0.099318	1.0651	0.144538
19	-0.079229	-0.8496	0.198646
20	0.111394	1.1946	0.117356
21	0.173286	1.8583	0.032843
22	-0.257569	-2.7621	0.003344
23	-0.125729	-1.3483	0.090107
24	0.53949	5.7854	0
25	-0.282772	-3.0324	0.001499
26	-0.244428	-2.6212	0.004973
27	0.21043	2.2566	0.012961
28	-0.0248	-0.266	0.395376
29	-0.143601	-1.54	0.06316
30	-0.023628	-0.2534	0.400211
31	-0.141722	-1.5198	0.065653
32	0.037136	0.3982	0.345596
33	0.068162	0.731	0.233147
34	-0.274322	-2.9418	0.001974
35	-0.086838	-0.9312	0.176841
36	0.478272	5.1289	1e-06
37	-0.173002	-1.8552	0.033062
38	-0.105557	-1.132	0.130001
39	0.267404	2.8676	0.002461
40	0.034019	0.3648	0.357959
41	-0.041002	-0.4397	0.330492
42	0.053113	0.5696	0.285038
43	-0.071431	-0.766	0.222621
44	0.071217	0.7637	0.223298
45	0.108819	1.167	0.122821
46	-0.1498	-1.6064	0.055462
47	-0.080643	-0.8648	0.194473
48	0.287884	3.0872	0.001266

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.083764 & -0.8983 & 0.18546 \tabularnewline
2 & -0.261259 & -2.8017 & 0.002983 \tabularnewline
3 & 0.263044 & 2.8208 & 0.002822 \tabularnewline
4 & 0.082529 & 0.885 & 0.188996 \tabularnewline
5 & -0.147866 & -1.5857 & 0.057778 \tabularnewline
6 & 0.020814 & 0.2232 & 0.411884 \tabularnewline
7 & -0.149055 & -1.5984 & 0.056345 \tabularnewline
8 & 0.103777 & 1.1129 & 0.13404 \tabularnewline
9 & 0.220806 & 2.3679 & 0.00978 \tabularnewline
10 & -0.335471 & -3.5975 & 0.000237 \tabularnewline
11 & -0.252264 & -2.7052 & 0.003932 \tabularnewline
12 & 0.618384 & 6.6314 & 0 \tabularnewline
13 & -0.278198 & -2.9833 & 0.001741 \tabularnewline
14 & -0.278889 & -2.9907 & 0.001703 \tabularnewline
15 & 0.263431 & 2.825 & 0.002788 \tabularnewline
16 & 0.0613 & 0.6574 & 0.256129 \tabularnewline
17 & -0.066761 & -0.7159 & 0.237741 \tabularnewline
18 & 0.099318 & 1.0651 & 0.144538 \tabularnewline
19 & -0.079229 & -0.8496 & 0.198646 \tabularnewline
20 & 0.111394 & 1.1946 & 0.117356 \tabularnewline
21 & 0.173286 & 1.8583 & 0.032843 \tabularnewline
22 & -0.257569 & -2.7621 & 0.003344 \tabularnewline
23 & -0.125729 & -1.3483 & 0.090107 \tabularnewline
24 & 0.53949 & 5.7854 & 0 \tabularnewline
25 & -0.282772 & -3.0324 & 0.001499 \tabularnewline
26 & -0.244428 & -2.6212 & 0.004973 \tabularnewline
27 & 0.21043 & 2.2566 & 0.012961 \tabularnewline
28 & -0.0248 & -0.266 & 0.395376 \tabularnewline
29 & -0.143601 & -1.54 & 0.06316 \tabularnewline
30 & -0.023628 & -0.2534 & 0.400211 \tabularnewline
31 & -0.141722 & -1.5198 & 0.065653 \tabularnewline
32 & 0.037136 & 0.3982 & 0.345596 \tabularnewline
33 & 0.068162 & 0.731 & 0.233147 \tabularnewline
34 & -0.274322 & -2.9418 & 0.001974 \tabularnewline
35 & -0.086838 & -0.9312 & 0.176841 \tabularnewline
36 & 0.478272 & 5.1289 & 1e-06 \tabularnewline
37 & -0.173002 & -1.8552 & 0.033062 \tabularnewline
38 & -0.105557 & -1.132 & 0.130001 \tabularnewline
39 & 0.267404 & 2.8676 & 0.002461 \tabularnewline
40 & 0.034019 & 0.3648 & 0.357959 \tabularnewline
41 & -0.041002 & -0.4397 & 0.330492 \tabularnewline
42 & 0.053113 & 0.5696 & 0.285038 \tabularnewline
43 & -0.071431 & -0.766 & 0.222621 \tabularnewline
44 & 0.071217 & 0.7637 & 0.223298 \tabularnewline
45 & 0.108819 & 1.167 & 0.122821 \tabularnewline
46 & -0.1498 & -1.6064 & 0.055462 \tabularnewline
47 & -0.080643 & -0.8648 & 0.194473 \tabularnewline
48 & 0.287884 & 3.0872 & 0.001266 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300842&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]-0.083764[/C][C]-0.8983[/C][C]0.18546[/C][/ROW]
[ROW][C]2[/C][C]-0.261259[/C][C]-2.8017[/C][C]0.002983[/C][/ROW]
[ROW][C]3[/C][C]0.263044[/C][C]2.8208[/C][C]0.002822[/C][/ROW]
[ROW][C]4[/C][C]0.082529[/C][C]0.885[/C][C]0.188996[/C][/ROW]
[ROW][C]5[/C][C]-0.147866[/C][C]-1.5857[/C][C]0.057778[/C][/ROW]
[ROW][C]6[/C][C]0.020814[/C][C]0.2232[/C][C]0.411884[/C][/ROW]
[ROW][C]7[/C][C]-0.149055[/C][C]-1.5984[/C][C]0.056345[/C][/ROW]
[ROW][C]8[/C][C]0.103777[/C][C]1.1129[/C][C]0.13404[/C][/ROW]
[ROW][C]9[/C][C]0.220806[/C][C]2.3679[/C][C]0.00978[/C][/ROW]
[ROW][C]10[/C][C]-0.335471[/C][C]-3.5975[/C][C]0.000237[/C][/ROW]
[ROW][C]11[/C][C]-0.252264[/C][C]-2.7052[/C][C]0.003932[/C][/ROW]
[ROW][C]12[/C][C]0.618384[/C][C]6.6314[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.278198[/C][C]-2.9833[/C][C]0.001741[/C][/ROW]
[ROW][C]14[/C][C]-0.278889[/C][C]-2.9907[/C][C]0.001703[/C][/ROW]
[ROW][C]15[/C][C]0.263431[/C][C]2.825[/C][C]0.002788[/C][/ROW]
[ROW][C]16[/C][C]0.0613[/C][C]0.6574[/C][C]0.256129[/C][/ROW]
[ROW][C]17[/C][C]-0.066761[/C][C]-0.7159[/C][C]0.237741[/C][/ROW]
[ROW][C]18[/C][C]0.099318[/C][C]1.0651[/C][C]0.144538[/C][/ROW]
[ROW][C]19[/C][C]-0.079229[/C][C]-0.8496[/C][C]0.198646[/C][/ROW]
[ROW][C]20[/C][C]0.111394[/C][C]1.1946[/C][C]0.117356[/C][/ROW]
[ROW][C]21[/C][C]0.173286[/C][C]1.8583[/C][C]0.032843[/C][/ROW]
[ROW][C]22[/C][C]-0.257569[/C][C]-2.7621[/C][C]0.003344[/C][/ROW]
[ROW][C]23[/C][C]-0.125729[/C][C]-1.3483[/C][C]0.090107[/C][/ROW]
[ROW][C]24[/C][C]0.53949[/C][C]5.7854[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.282772[/C][C]-3.0324[/C][C]0.001499[/C][/ROW]
[ROW][C]26[/C][C]-0.244428[/C][C]-2.6212[/C][C]0.004973[/C][/ROW]
[ROW][C]27[/C][C]0.21043[/C][C]2.2566[/C][C]0.012961[/C][/ROW]
[ROW][C]28[/C][C]-0.0248[/C][C]-0.266[/C][C]0.395376[/C][/ROW]
[ROW][C]29[/C][C]-0.143601[/C][C]-1.54[/C][C]0.06316[/C][/ROW]
[ROW][C]30[/C][C]-0.023628[/C][C]-0.2534[/C][C]0.400211[/C][/ROW]
[ROW][C]31[/C][C]-0.141722[/C][C]-1.5198[/C][C]0.065653[/C][/ROW]
[ROW][C]32[/C][C]0.037136[/C][C]0.3982[/C][C]0.345596[/C][/ROW]
[ROW][C]33[/C][C]0.068162[/C][C]0.731[/C][C]0.233147[/C][/ROW]
[ROW][C]34[/C][C]-0.274322[/C][C]-2.9418[/C][C]0.001974[/C][/ROW]
[ROW][C]35[/C][C]-0.086838[/C][C]-0.9312[/C][C]0.176841[/C][/ROW]
[ROW][C]36[/C][C]0.478272[/C][C]5.1289[/C][C]1e-06[/C][/ROW]
[ROW][C]37[/C][C]-0.173002[/C][C]-1.8552[/C][C]0.033062[/C][/ROW]
[ROW][C]38[/C][C]-0.105557[/C][C]-1.132[/C][C]0.130001[/C][/ROW]
[ROW][C]39[/C][C]0.267404[/C][C]2.8676[/C][C]0.002461[/C][/ROW]
[ROW][C]40[/C][C]0.034019[/C][C]0.3648[/C][C]0.357959[/C][/ROW]
[ROW][C]41[/C][C]-0.041002[/C][C]-0.4397[/C][C]0.330492[/C][/ROW]
[ROW][C]42[/C][C]0.053113[/C][C]0.5696[/C][C]0.285038[/C][/ROW]
[ROW][C]43[/C][C]-0.071431[/C][C]-0.766[/C][C]0.222621[/C][/ROW]
[ROW][C]44[/C][C]0.071217[/C][C]0.7637[/C][C]0.223298[/C][/ROW]
[ROW][C]45[/C][C]0.108819[/C][C]1.167[/C][C]0.122821[/C][/ROW]
[ROW][C]46[/C][C]-0.1498[/C][C]-1.6064[/C][C]0.055462[/C][/ROW]
[ROW][C]47[/C][C]-0.080643[/C][C]-0.8648[/C][C]0.194473[/C][/ROW]
[ROW][C]48[/C][C]0.287884[/C][C]3.0872[/C][C]0.001266[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300842&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300842&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	-0.083764	-0.8983	0.18546
2	-0.261259	-2.8017	0.002983
3	0.263044	2.8208	0.002822
4	0.082529	0.885	0.188996
5	-0.147866	-1.5857	0.057778
6	0.020814	0.2232	0.411884
7	-0.149055	-1.5984	0.056345
8	0.103777	1.1129	0.13404
9	0.220806	2.3679	0.00978
10	-0.335471	-3.5975	0.000237
11	-0.252264	-2.7052	0.003932
12	0.618384	6.6314	0
13	-0.278198	-2.9833	0.001741
14	-0.278889	-2.9907	0.001703
15	0.263431	2.825	0.002788
16	0.0613	0.6574	0.256129
17	-0.066761	-0.7159	0.237741
18	0.099318	1.0651	0.144538
19	-0.079229	-0.8496	0.198646
20	0.111394	1.1946	0.117356
21	0.173286	1.8583	0.032843
22	-0.257569	-2.7621	0.003344
23	-0.125729	-1.3483	0.090107
24	0.53949	5.7854	0
25	-0.282772	-3.0324	0.001499
26	-0.244428	-2.6212	0.004973
27	0.21043	2.2566	0.012961
28	-0.0248	-0.266	0.395376
29	-0.143601	-1.54	0.06316
30	-0.023628	-0.2534	0.400211
31	-0.141722	-1.5198	0.065653
32	0.037136	0.3982	0.345596
33	0.068162	0.731	0.233147
34	-0.274322	-2.9418	0.001974
35	-0.086838	-0.9312	0.176841
36	0.478272	5.1289	1e-06
37	-0.173002	-1.8552	0.033062
38	-0.105557	-1.132	0.130001
39	0.267404	2.8676	0.002461
40	0.034019	0.3648	0.357959
41	-0.041002	-0.4397	0.330492
42	0.053113	0.5696	0.285038
43	-0.071431	-0.766	0.222621
44	0.071217	0.7637	0.223298
45	0.108819	1.167	0.122821
46	-0.1498	-1.6064	0.055462
47	-0.080643	-0.8648	0.194473
48	0.287884	3.0872	0.001266

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.083764	-0.8983	0.18546
2	-0.270171	-2.8973	0.002254
3	0.230978	2.477	0.007352
4	0.056557	0.6065	0.272686
5	-0.018969	-0.2034	0.419585
6	-0.018494	-0.1983	0.421572
7	-0.254441	-2.7286	0.00368
8	0.144501	1.5496	0.061992
9	0.19538	2.0952	0.019173
10	-0.230794	-2.475	0.007391
11	-0.300182	-3.2191	0.000836
12	0.503962	5.4044	0
13	-0.415982	-4.4609	1e-05
14	0.144455	1.5491	0.062052
15	0.002258	0.0242	0.490363
16	0.010507	0.1127	0.455241
17	0.107404	1.1518	0.1259
18	0.017996	0.193	0.423655
19	0.129675	1.3906	0.083515
20	-0.085068	-0.9123	0.181772
21	-0.057316	-0.6146	0.270002
22	0.081427	0.8732	0.192184
23	0.075697	0.8118	0.209303
24	0.008203	0.088	0.465028
25	-0.048496	-0.5201	0.302011
26	-0.082804	-0.888	0.188205
27	-0.080795	-0.8664	0.194028
28	0.053702	0.5759	0.282908
29	-0.088971	-0.9541	0.171015
30	-0.101437	-1.0878	0.13948
31	-0.070406	-0.755	0.225889
32	-0.146231	-1.5682	0.059796
33	-0.012713	-0.1363	0.445897
34	-0.079246	-0.8498	0.198595
35	0.026848	0.2879	0.386967
36	0.046784	0.5017	0.30842
37	0.132248	1.4182	0.079418
38	0.057762	0.6194	0.268428
39	0.052829	0.5665	0.286069
40	0.010672	0.1144	0.454541
41	0.032351	0.3469	0.364641
42	0.094424	1.0126	0.156692
43	-0.053209	-0.5706	0.28469
44	0.038065	0.4082	0.341943
45	0.050713	0.5438	0.293802
46	0.138754	1.488	0.069748
47	-0.062972	-0.6753	0.250421
48	-0.037968	-0.4072	0.342322

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.083764 & -0.8983 & 0.18546 \tabularnewline
2 & -0.270171 & -2.8973 & 0.002254 \tabularnewline
3 & 0.230978 & 2.477 & 0.007352 \tabularnewline
4 & 0.056557 & 0.6065 & 0.272686 \tabularnewline
5 & -0.018969 & -0.2034 & 0.419585 \tabularnewline
6 & -0.018494 & -0.1983 & 0.421572 \tabularnewline
7 & -0.254441 & -2.7286 & 0.00368 \tabularnewline
8 & 0.144501 & 1.5496 & 0.061992 \tabularnewline
9 & 0.19538 & 2.0952 & 0.019173 \tabularnewline
10 & -0.230794 & -2.475 & 0.007391 \tabularnewline
11 & -0.300182 & -3.2191 & 0.000836 \tabularnewline
12 & 0.503962 & 5.4044 & 0 \tabularnewline
13 & -0.415982 & -4.4609 & 1e-05 \tabularnewline
14 & 0.144455 & 1.5491 & 0.062052 \tabularnewline
15 & 0.002258 & 0.0242 & 0.490363 \tabularnewline
16 & 0.010507 & 0.1127 & 0.455241 \tabularnewline
17 & 0.107404 & 1.1518 & 0.1259 \tabularnewline
18 & 0.017996 & 0.193 & 0.423655 \tabularnewline
19 & 0.129675 & 1.3906 & 0.083515 \tabularnewline
20 & -0.085068 & -0.9123 & 0.181772 \tabularnewline
21 & -0.057316 & -0.6146 & 0.270002 \tabularnewline
22 & 0.081427 & 0.8732 & 0.192184 \tabularnewline
23 & 0.075697 & 0.8118 & 0.209303 \tabularnewline
24 & 0.008203 & 0.088 & 0.465028 \tabularnewline
25 & -0.048496 & -0.5201 & 0.302011 \tabularnewline
26 & -0.082804 & -0.888 & 0.188205 \tabularnewline
27 & -0.080795 & -0.8664 & 0.194028 \tabularnewline
28 & 0.053702 & 0.5759 & 0.282908 \tabularnewline
29 & -0.088971 & -0.9541 & 0.171015 \tabularnewline
30 & -0.101437 & -1.0878 & 0.13948 \tabularnewline
31 & -0.070406 & -0.755 & 0.225889 \tabularnewline
32 & -0.146231 & -1.5682 & 0.059796 \tabularnewline
33 & -0.012713 & -0.1363 & 0.445897 \tabularnewline
34 & -0.079246 & -0.8498 & 0.198595 \tabularnewline
35 & 0.026848 & 0.2879 & 0.386967 \tabularnewline
36 & 0.046784 & 0.5017 & 0.30842 \tabularnewline
37 & 0.132248 & 1.4182 & 0.079418 \tabularnewline
38 & 0.057762 & 0.6194 & 0.268428 \tabularnewline
39 & 0.052829 & 0.5665 & 0.286069 \tabularnewline
40 & 0.010672 & 0.1144 & 0.454541 \tabularnewline
41 & 0.032351 & 0.3469 & 0.364641 \tabularnewline
42 & 0.094424 & 1.0126 & 0.156692 \tabularnewline
43 & -0.053209 & -0.5706 & 0.28469 \tabularnewline
44 & 0.038065 & 0.4082 & 0.341943 \tabularnewline
45 & 0.050713 & 0.5438 & 0.293802 \tabularnewline
46 & 0.138754 & 1.488 & 0.069748 \tabularnewline
47 & -0.062972 & -0.6753 & 0.250421 \tabularnewline
48 & -0.037968 & -0.4072 & 0.342322 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300842&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]-0.083764[/C][C]-0.8983[/C][C]0.18546[/C][/ROW]
[ROW][C]2[/C][C]-0.270171[/C][C]-2.8973[/C][C]0.002254[/C][/ROW]
[ROW][C]3[/C][C]0.230978[/C][C]2.477[/C][C]0.007352[/C][/ROW]
[ROW][C]4[/C][C]0.056557[/C][C]0.6065[/C][C]0.272686[/C][/ROW]
[ROW][C]5[/C][C]-0.018969[/C][C]-0.2034[/C][C]0.419585[/C][/ROW]
[ROW][C]6[/C][C]-0.018494[/C][C]-0.1983[/C][C]0.421572[/C][/ROW]
[ROW][C]7[/C][C]-0.254441[/C][C]-2.7286[/C][C]0.00368[/C][/ROW]
[ROW][C]8[/C][C]0.144501[/C][C]1.5496[/C][C]0.061992[/C][/ROW]
[ROW][C]9[/C][C]0.19538[/C][C]2.0952[/C][C]0.019173[/C][/ROW]
[ROW][C]10[/C][C]-0.230794[/C][C]-2.475[/C][C]0.007391[/C][/ROW]
[ROW][C]11[/C][C]-0.300182[/C][C]-3.2191[/C][C]0.000836[/C][/ROW]
[ROW][C]12[/C][C]0.503962[/C][C]5.4044[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.415982[/C][C]-4.4609[/C][C]1e-05[/C][/ROW]
[ROW][C]14[/C][C]0.144455[/C][C]1.5491[/C][C]0.062052[/C][/ROW]
[ROW][C]15[/C][C]0.002258[/C][C]0.0242[/C][C]0.490363[/C][/ROW]
[ROW][C]16[/C][C]0.010507[/C][C]0.1127[/C][C]0.455241[/C][/ROW]
[ROW][C]17[/C][C]0.107404[/C][C]1.1518[/C][C]0.1259[/C][/ROW]
[ROW][C]18[/C][C]0.017996[/C][C]0.193[/C][C]0.423655[/C][/ROW]
[ROW][C]19[/C][C]0.129675[/C][C]1.3906[/C][C]0.083515[/C][/ROW]
[ROW][C]20[/C][C]-0.085068[/C][C]-0.9123[/C][C]0.181772[/C][/ROW]
[ROW][C]21[/C][C]-0.057316[/C][C]-0.6146[/C][C]0.270002[/C][/ROW]
[ROW][C]22[/C][C]0.081427[/C][C]0.8732[/C][C]0.192184[/C][/ROW]
[ROW][C]23[/C][C]0.075697[/C][C]0.8118[/C][C]0.209303[/C][/ROW]
[ROW][C]24[/C][C]0.008203[/C][C]0.088[/C][C]0.465028[/C][/ROW]
[ROW][C]25[/C][C]-0.048496[/C][C]-0.5201[/C][C]0.302011[/C][/ROW]
[ROW][C]26[/C][C]-0.082804[/C][C]-0.888[/C][C]0.188205[/C][/ROW]
[ROW][C]27[/C][C]-0.080795[/C][C]-0.8664[/C][C]0.194028[/C][/ROW]
[ROW][C]28[/C][C]0.053702[/C][C]0.5759[/C][C]0.282908[/C][/ROW]
[ROW][C]29[/C][C]-0.088971[/C][C]-0.9541[/C][C]0.171015[/C][/ROW]
[ROW][C]30[/C][C]-0.101437[/C][C]-1.0878[/C][C]0.13948[/C][/ROW]
[ROW][C]31[/C][C]-0.070406[/C][C]-0.755[/C][C]0.225889[/C][/ROW]
[ROW][C]32[/C][C]-0.146231[/C][C]-1.5682[/C][C]0.059796[/C][/ROW]
[ROW][C]33[/C][C]-0.012713[/C][C]-0.1363[/C][C]0.445897[/C][/ROW]
[ROW][C]34[/C][C]-0.079246[/C][C]-0.8498[/C][C]0.198595[/C][/ROW]
[ROW][C]35[/C][C]0.026848[/C][C]0.2879[/C][C]0.386967[/C][/ROW]
[ROW][C]36[/C][C]0.046784[/C][C]0.5017[/C][C]0.30842[/C][/ROW]
[ROW][C]37[/C][C]0.132248[/C][C]1.4182[/C][C]0.079418[/C][/ROW]
[ROW][C]38[/C][C]0.057762[/C][C]0.6194[/C][C]0.268428[/C][/ROW]
[ROW][C]39[/C][C]0.052829[/C][C]0.5665[/C][C]0.286069[/C][/ROW]
[ROW][C]40[/C][C]0.010672[/C][C]0.1144[/C][C]0.454541[/C][/ROW]
[ROW][C]41[/C][C]0.032351[/C][C]0.3469[/C][C]0.364641[/C][/ROW]
[ROW][C]42[/C][C]0.094424[/C][C]1.0126[/C][C]0.156692[/C][/ROW]
[ROW][C]43[/C][C]-0.053209[/C][C]-0.5706[/C][C]0.28469[/C][/ROW]
[ROW][C]44[/C][C]0.038065[/C][C]0.4082[/C][C]0.341943[/C][/ROW]
[ROW][C]45[/C][C]0.050713[/C][C]0.5438[/C][C]0.293802[/C][/ROW]
[ROW][C]46[/C][C]0.138754[/C][C]1.488[/C][C]0.069748[/C][/ROW]
[ROW][C]47[/C][C]-0.062972[/C][C]-0.6753[/C][C]0.250421[/C][/ROW]
[ROW][C]48[/C][C]-0.037968[/C][C]-0.4072[/C][C]0.342322[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300842&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300842&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	-0.083764	-0.8983	0.18546
2	-0.270171	-2.8973	0.002254
3	0.230978	2.477	0.007352
4	0.056557	0.6065	0.272686
5	-0.018969	-0.2034	0.419585
6	-0.018494	-0.1983	0.421572
7	-0.254441	-2.7286	0.00368
8	0.144501	1.5496	0.061992
9	0.19538	2.0952	0.019173
10	-0.230794	-2.475	0.007391
11	-0.300182	-3.2191	0.000836
12	0.503962	5.4044	0
13	-0.415982	-4.4609	1e-05
14	0.144455	1.5491	0.062052
15	0.002258	0.0242	0.490363
16	0.010507	0.1127	0.455241
17	0.107404	1.1518	0.1259
18	0.017996	0.193	0.423655
19	0.129675	1.3906	0.083515
20	-0.085068	-0.9123	0.181772
21	-0.057316	-0.6146	0.270002
22	0.081427	0.8732	0.192184
23	0.075697	0.8118	0.209303
24	0.008203	0.088	0.465028
25	-0.048496	-0.5201	0.302011
26	-0.082804	-0.888	0.188205
27	-0.080795	-0.8664	0.194028
28	0.053702	0.5759	0.282908
29	-0.088971	-0.9541	0.171015
30	-0.101437	-1.0878	0.13948
31	-0.070406	-0.755	0.225889
32	-0.146231	-1.5682	0.059796
33	-0.012713	-0.1363	0.445897
34	-0.079246	-0.8498	0.198595
35	0.026848	0.2879	0.386967
36	0.046784	0.5017	0.30842
37	0.132248	1.4182	0.079418
38	0.057762	0.6194	0.268428
39	0.052829	0.5665	0.286069
40	0.010672	0.1144	0.454541
41	0.032351	0.3469	0.364641
42	0.094424	1.0126	0.156692
43	-0.053209	-0.5706	0.28469
44	0.038065	0.4082	0.341943
45	0.050713	0.5438	0.293802
46	0.138754	1.488	0.069748
47	-0.062972	-0.6753	0.250421
48	-0.037968	-0.4072	0.342322

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 2.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 2.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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

if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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,'ACF(k)',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,'PACF(k)',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