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rwasp_autocorrelation.wasp

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(Partial) Autocorrelation Function

Date of computation

Wed, 21 Dec 2016 10:19:35 +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/21/t1482311997zrbjoa9nza0ja4h.htm/, Retrieved Mon, 06 May 2024 16:29:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301939, Retrieved Mon, 06 May 2024 16:29:10 +0000

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-       [(Partial) Autocorrelation Function] [] [2016-12-21 09:19:35] [f20c721eaecf28dbff8d9b9768e8b0c7] [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	2 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 time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301939&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]

2 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301939&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301939&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	2 seconds
R Server	Big Analytics Cloud Computing Center

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.035357	-0.3588	0.360226
2	-0.0246	-0.2497	0.401675
3	0.070966	0.7202	0.236509
4	-0.165857	-1.6833	0.047676
5	0.033489	0.3399	0.36732
6	-0.12682	-1.2871	0.100474
7	-0.027001	-0.274	0.392307
8	0.08036	0.8156	0.208316
9	0.018401	0.1867	0.426112
10	-0.029251	-0.2969	0.383582
11	-0.005678	-0.0576	0.47708
12	-0.291893	-2.9624	0.001895
13	0.016788	0.1704	0.432523
14	0.026343	0.2674	0.394865
15	-0.134322	-1.3632	0.087893
16	0.002883	0.0293	0.488357
17	-0.005865	-0.0595	0.476325
18	0.14826	1.5047	0.067734
19	0.07846	0.7963	0.21385
20	0.057066	0.5792	0.281876
21	0.163491	1.6593	0.050053
22	-0.006816	-0.0692	0.472492
23	0.041195	0.4181	0.338377
24	-0.092101	-0.9347	0.176059
25	-0.126899	-1.2879	0.100337
26	0.055871	0.567	0.285964
27	-0.073677	-0.7477	0.22816
28	0.033055	0.3355	0.368974
29	-0.021395	-0.2171	0.414267
30	-0.125527	-1.274	0.102772
31	-0.029821	-0.3026	0.381385
32	-0.00127	-0.0129	0.494869
33	-0.134733	-1.3674	0.08724
34	-0.065638	-0.6662	0.253401
35	0.04295	0.4359	0.331913
36	-0.032065	-0.3254	0.372759
37	0.148833	1.5105	0.066991
38	-0.00587	-0.0596	0.476304
39	0.037158	0.3771	0.353432
40	0.070444	0.7149	0.238136
41	-0.021801	-0.2213	0.412667
42	0.127172	1.2907	0.099857
43	0.035019	0.3554	0.361507
44	-0.043856	-0.4451	0.328596
45	-0.073383	-0.7448	0.229058
46	-0.028531	-0.2896	0.386367
47	-0.028622	-0.2905	0.386017
48	-0.06954	-0.7058	0.240968

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.035357 & -0.3588 & 0.360226 \tabularnewline
2 & -0.0246 & -0.2497 & 0.401675 \tabularnewline
3 & 0.070966 & 0.7202 & 0.236509 \tabularnewline
4 & -0.165857 & -1.6833 & 0.047676 \tabularnewline
5 & 0.033489 & 0.3399 & 0.36732 \tabularnewline
6 & -0.12682 & -1.2871 & 0.100474 \tabularnewline
7 & -0.027001 & -0.274 & 0.392307 \tabularnewline
8 & 0.08036 & 0.8156 & 0.208316 \tabularnewline
9 & 0.018401 & 0.1867 & 0.426112 \tabularnewline
10 & -0.029251 & -0.2969 & 0.383582 \tabularnewline
11 & -0.005678 & -0.0576 & 0.47708 \tabularnewline
12 & -0.291893 & -2.9624 & 0.001895 \tabularnewline
13 & 0.016788 & 0.1704 & 0.432523 \tabularnewline
14 & 0.026343 & 0.2674 & 0.394865 \tabularnewline
15 & -0.134322 & -1.3632 & 0.087893 \tabularnewline
16 & 0.002883 & 0.0293 & 0.488357 \tabularnewline
17 & -0.005865 & -0.0595 & 0.476325 \tabularnewline
18 & 0.14826 & 1.5047 & 0.067734 \tabularnewline
19 & 0.07846 & 0.7963 & 0.21385 \tabularnewline
20 & 0.057066 & 0.5792 & 0.281876 \tabularnewline
21 & 0.163491 & 1.6593 & 0.050053 \tabularnewline
22 & -0.006816 & -0.0692 & 0.472492 \tabularnewline
23 & 0.041195 & 0.4181 & 0.338377 \tabularnewline
24 & -0.092101 & -0.9347 & 0.176059 \tabularnewline
25 & -0.126899 & -1.2879 & 0.100337 \tabularnewline
26 & 0.055871 & 0.567 & 0.285964 \tabularnewline
27 & -0.073677 & -0.7477 & 0.22816 \tabularnewline
28 & 0.033055 & 0.3355 & 0.368974 \tabularnewline
29 & -0.021395 & -0.2171 & 0.414267 \tabularnewline
30 & -0.125527 & -1.274 & 0.102772 \tabularnewline
31 & -0.029821 & -0.3026 & 0.381385 \tabularnewline
32 & -0.00127 & -0.0129 & 0.494869 \tabularnewline
33 & -0.134733 & -1.3674 & 0.08724 \tabularnewline
34 & -0.065638 & -0.6662 & 0.253401 \tabularnewline
35 & 0.04295 & 0.4359 & 0.331913 \tabularnewline
36 & -0.032065 & -0.3254 & 0.372759 \tabularnewline
37 & 0.148833 & 1.5105 & 0.066991 \tabularnewline
38 & -0.00587 & -0.0596 & 0.476304 \tabularnewline
39 & 0.037158 & 0.3771 & 0.353432 \tabularnewline
40 & 0.070444 & 0.7149 & 0.238136 \tabularnewline
41 & -0.021801 & -0.2213 & 0.412667 \tabularnewline
42 & 0.127172 & 1.2907 & 0.099857 \tabularnewline
43 & 0.035019 & 0.3554 & 0.361507 \tabularnewline
44 & -0.043856 & -0.4451 & 0.328596 \tabularnewline
45 & -0.073383 & -0.7448 & 0.229058 \tabularnewline
46 & -0.028531 & -0.2896 & 0.386367 \tabularnewline
47 & -0.028622 & -0.2905 & 0.386017 \tabularnewline
48 & -0.06954 & -0.7058 & 0.240968 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301939&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]-0.035357[/C][C]-0.3588[/C][C]0.360226[/C][/ROW]
[ROW][C]2[/C][C]-0.0246[/C][C]-0.2497[/C][C]0.401675[/C][/ROW]
[ROW][C]3[/C][C]0.070966[/C][C]0.7202[/C][C]0.236509[/C][/ROW]
[ROW][C]4[/C][C]-0.165857[/C][C]-1.6833[/C][C]0.047676[/C][/ROW]
[ROW][C]5[/C][C]0.033489[/C][C]0.3399[/C][C]0.36732[/C][/ROW]
[ROW][C]6[/C][C]-0.12682[/C][C]-1.2871[/C][C]0.100474[/C][/ROW]
[ROW][C]7[/C][C]-0.027001[/C][C]-0.274[/C][C]0.392307[/C][/ROW]
[ROW][C]8[/C][C]0.08036[/C][C]0.8156[/C][C]0.208316[/C][/ROW]
[ROW][C]9[/C][C]0.018401[/C][C]0.1867[/C][C]0.426112[/C][/ROW]
[ROW][C]10[/C][C]-0.029251[/C][C]-0.2969[/C][C]0.383582[/C][/ROW]
[ROW][C]11[/C][C]-0.005678[/C][C]-0.0576[/C][C]0.47708[/C][/ROW]
[ROW][C]12[/C][C]-0.291893[/C][C]-2.9624[/C][C]0.001895[/C][/ROW]
[ROW][C]13[/C][C]0.016788[/C][C]0.1704[/C][C]0.432523[/C][/ROW]
[ROW][C]14[/C][C]0.026343[/C][C]0.2674[/C][C]0.394865[/C][/ROW]
[ROW][C]15[/C][C]-0.134322[/C][C]-1.3632[/C][C]0.087893[/C][/ROW]
[ROW][C]16[/C][C]0.002883[/C][C]0.0293[/C][C]0.488357[/C][/ROW]
[ROW][C]17[/C][C]-0.005865[/C][C]-0.0595[/C][C]0.476325[/C][/ROW]
[ROW][C]18[/C][C]0.14826[/C][C]1.5047[/C][C]0.067734[/C][/ROW]
[ROW][C]19[/C][C]0.07846[/C][C]0.7963[/C][C]0.21385[/C][/ROW]
[ROW][C]20[/C][C]0.057066[/C][C]0.5792[/C][C]0.281876[/C][/ROW]
[ROW][C]21[/C][C]0.163491[/C][C]1.6593[/C][C]0.050053[/C][/ROW]
[ROW][C]22[/C][C]-0.006816[/C][C]-0.0692[/C][C]0.472492[/C][/ROW]
[ROW][C]23[/C][C]0.041195[/C][C]0.4181[/C][C]0.338377[/C][/ROW]
[ROW][C]24[/C][C]-0.092101[/C][C]-0.9347[/C][C]0.176059[/C][/ROW]
[ROW][C]25[/C][C]-0.126899[/C][C]-1.2879[/C][C]0.100337[/C][/ROW]
[ROW][C]26[/C][C]0.055871[/C][C]0.567[/C][C]0.285964[/C][/ROW]
[ROW][C]27[/C][C]-0.073677[/C][C]-0.7477[/C][C]0.22816[/C][/ROW]
[ROW][C]28[/C][C]0.033055[/C][C]0.3355[/C][C]0.368974[/C][/ROW]
[ROW][C]29[/C][C]-0.021395[/C][C]-0.2171[/C][C]0.414267[/C][/ROW]
[ROW][C]30[/C][C]-0.125527[/C][C]-1.274[/C][C]0.102772[/C][/ROW]
[ROW][C]31[/C][C]-0.029821[/C][C]-0.3026[/C][C]0.381385[/C][/ROW]
[ROW][C]32[/C][C]-0.00127[/C][C]-0.0129[/C][C]0.494869[/C][/ROW]
[ROW][C]33[/C][C]-0.134733[/C][C]-1.3674[/C][C]0.08724[/C][/ROW]
[ROW][C]34[/C][C]-0.065638[/C][C]-0.6662[/C][C]0.253401[/C][/ROW]
[ROW][C]35[/C][C]0.04295[/C][C]0.4359[/C][C]0.331913[/C][/ROW]
[ROW][C]36[/C][C]-0.032065[/C][C]-0.3254[/C][C]0.372759[/C][/ROW]
[ROW][C]37[/C][C]0.148833[/C][C]1.5105[/C][C]0.066991[/C][/ROW]
[ROW][C]38[/C][C]-0.00587[/C][C]-0.0596[/C][C]0.476304[/C][/ROW]
[ROW][C]39[/C][C]0.037158[/C][C]0.3771[/C][C]0.353432[/C][/ROW]
[ROW][C]40[/C][C]0.070444[/C][C]0.7149[/C][C]0.238136[/C][/ROW]
[ROW][C]41[/C][C]-0.021801[/C][C]-0.2213[/C][C]0.412667[/C][/ROW]
[ROW][C]42[/C][C]0.127172[/C][C]1.2907[/C][C]0.099857[/C][/ROW]
[ROW][C]43[/C][C]0.035019[/C][C]0.3554[/C][C]0.361507[/C][/ROW]
[ROW][C]44[/C][C]-0.043856[/C][C]-0.4451[/C][C]0.328596[/C][/ROW]
[ROW][C]45[/C][C]-0.073383[/C][C]-0.7448[/C][C]0.229058[/C][/ROW]
[ROW][C]46[/C][C]-0.028531[/C][C]-0.2896[/C][C]0.386367[/C][/ROW]
[ROW][C]47[/C][C]-0.028622[/C][C]-0.2905[/C][C]0.386017[/C][/ROW]
[ROW][C]48[/C][C]-0.06954[/C][C]-0.7058[/C][C]0.240968[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301939&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301939&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	-0.035357	-0.3588	0.360226
2	-0.0246	-0.2497	0.401675
3	0.070966	0.7202	0.236509
4	-0.165857	-1.6833	0.047676
5	0.033489	0.3399	0.36732
6	-0.12682	-1.2871	0.100474
7	-0.027001	-0.274	0.392307
8	0.08036	0.8156	0.208316
9	0.018401	0.1867	0.426112
10	-0.029251	-0.2969	0.383582
11	-0.005678	-0.0576	0.47708
12	-0.291893	-2.9624	0.001895
13	0.016788	0.1704	0.432523
14	0.026343	0.2674	0.394865
15	-0.134322	-1.3632	0.087893
16	0.002883	0.0293	0.488357
17	-0.005865	-0.0595	0.476325
18	0.14826	1.5047	0.067734
19	0.07846	0.7963	0.21385
20	0.057066	0.5792	0.281876
21	0.163491	1.6593	0.050053
22	-0.006816	-0.0692	0.472492
23	0.041195	0.4181	0.338377
24	-0.092101	-0.9347	0.176059
25	-0.126899	-1.2879	0.100337
26	0.055871	0.567	0.285964
27	-0.073677	-0.7477	0.22816
28	0.033055	0.3355	0.368974
29	-0.021395	-0.2171	0.414267
30	-0.125527	-1.274	0.102772
31	-0.029821	-0.3026	0.381385
32	-0.00127	-0.0129	0.494869
33	-0.134733	-1.3674	0.08724
34	-0.065638	-0.6662	0.253401
35	0.04295	0.4359	0.331913
36	-0.032065	-0.3254	0.372759
37	0.148833	1.5105	0.066991
38	-0.00587	-0.0596	0.476304
39	0.037158	0.3771	0.353432
40	0.070444	0.7149	0.238136
41	-0.021801	-0.2213	0.412667
42	0.127172	1.2907	0.099857
43	0.035019	0.3554	0.361507
44	-0.043856	-0.4451	0.328596
45	-0.073383	-0.7448	0.229058
46	-0.028531	-0.2896	0.386367
47	-0.028622	-0.2905	0.386017
48	-0.06954	-0.7058	0.240968

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.035357	-0.3588	0.360226
2	-0.025882	-0.2627	0.396663
3	0.069291	0.7032	0.24175
4	-0.162626	-1.6505	0.050946
5	0.028318	0.2874	0.387192
6	-0.1434	-1.4554	0.074306
7	-0.007951	-0.0807	0.467923
8	0.040009	0.406	0.342777
9	0.050525	0.5128	0.304603
10	-0.069346	-0.7038	0.241577
11	-0.011355	-0.1152	0.454238
12	-0.318924	-3.2367	0.000813
13	0.019974	0.2027	0.419878
14	-0.005799	-0.0589	0.476593
15	-0.082439	-0.8367	0.202358
16	-0.135725	-1.3775	0.085679
17	-0.011101	-0.1127	0.45526
18	0.079048	0.8022	0.212129
19	0.073132	0.7422	0.229825
20	0.100466	1.0196	0.155148
21	0.178223	1.8088	0.036703
22	-0.014418	-0.1463	0.441977
23	0.079386	0.8057	0.211143
24	-0.157108	-1.5945	0.056947
25	-0.070134	-0.7118	0.239105
26	0.032786	0.3327	0.370004
27	-0.10936	-1.1099	0.134817
28	-0.044543	-0.4521	0.326089
29	-0.06928	-0.7031	0.241785
30	-0.101967	-1.0349	0.151581
31	-0.065993	-0.6698	0.252255
32	0.080071	0.8126	0.209151
33	-0.017944	-0.1821	0.427927
34	-0.088293	-0.8961	0.186152
35	0.055469	0.5629	0.287348
36	-0.095169	-0.9659	0.168189
37	0.079938	0.8113	0.209539
38	0.032227	0.3271	0.372139
39	-0.067857	-0.6887	0.246289
40	-0.066744	-0.6774	0.249843
41	-0.047943	-0.4866	0.3138
42	0.049802	0.5054	0.307168
43	0.087572	0.8888	0.188103
44	0.001455	0.0148	0.494123
45	-0.144573	-1.4673	0.072676
46	-0.113486	-1.1518	0.126044
47	0.044221	0.4488	0.327261
48	-0.068363	-0.6938	0.244682

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.035357 & -0.3588 & 0.360226 \tabularnewline
2 & -0.025882 & -0.2627 & 0.396663 \tabularnewline
3 & 0.069291 & 0.7032 & 0.24175 \tabularnewline
4 & -0.162626 & -1.6505 & 0.050946 \tabularnewline
5 & 0.028318 & 0.2874 & 0.387192 \tabularnewline
6 & -0.1434 & -1.4554 & 0.074306 \tabularnewline
7 & -0.007951 & -0.0807 & 0.467923 \tabularnewline
8 & 0.040009 & 0.406 & 0.342777 \tabularnewline
9 & 0.050525 & 0.5128 & 0.304603 \tabularnewline
10 & -0.069346 & -0.7038 & 0.241577 \tabularnewline
11 & -0.011355 & -0.1152 & 0.454238 \tabularnewline
12 & -0.318924 & -3.2367 & 0.000813 \tabularnewline
13 & 0.019974 & 0.2027 & 0.419878 \tabularnewline
14 & -0.005799 & -0.0589 & 0.476593 \tabularnewline
15 & -0.082439 & -0.8367 & 0.202358 \tabularnewline
16 & -0.135725 & -1.3775 & 0.085679 \tabularnewline
17 & -0.011101 & -0.1127 & 0.45526 \tabularnewline
18 & 0.079048 & 0.8022 & 0.212129 \tabularnewline
19 & 0.073132 & 0.7422 & 0.229825 \tabularnewline
20 & 0.100466 & 1.0196 & 0.155148 \tabularnewline
21 & 0.178223 & 1.8088 & 0.036703 \tabularnewline
22 & -0.014418 & -0.1463 & 0.441977 \tabularnewline
23 & 0.079386 & 0.8057 & 0.211143 \tabularnewline
24 & -0.157108 & -1.5945 & 0.056947 \tabularnewline
25 & -0.070134 & -0.7118 & 0.239105 \tabularnewline
26 & 0.032786 & 0.3327 & 0.370004 \tabularnewline
27 & -0.10936 & -1.1099 & 0.134817 \tabularnewline
28 & -0.044543 & -0.4521 & 0.326089 \tabularnewline
29 & -0.06928 & -0.7031 & 0.241785 \tabularnewline
30 & -0.101967 & -1.0349 & 0.151581 \tabularnewline
31 & -0.065993 & -0.6698 & 0.252255 \tabularnewline
32 & 0.080071 & 0.8126 & 0.209151 \tabularnewline
33 & -0.017944 & -0.1821 & 0.427927 \tabularnewline
34 & -0.088293 & -0.8961 & 0.186152 \tabularnewline
35 & 0.055469 & 0.5629 & 0.287348 \tabularnewline
36 & -0.095169 & -0.9659 & 0.168189 \tabularnewline
37 & 0.079938 & 0.8113 & 0.209539 \tabularnewline
38 & 0.032227 & 0.3271 & 0.372139 \tabularnewline
39 & -0.067857 & -0.6887 & 0.246289 \tabularnewline
40 & -0.066744 & -0.6774 & 0.249843 \tabularnewline
41 & -0.047943 & -0.4866 & 0.3138 \tabularnewline
42 & 0.049802 & 0.5054 & 0.307168 \tabularnewline
43 & 0.087572 & 0.8888 & 0.188103 \tabularnewline
44 & 0.001455 & 0.0148 & 0.494123 \tabularnewline
45 & -0.144573 & -1.4673 & 0.072676 \tabularnewline
46 & -0.113486 & -1.1518 & 0.126044 \tabularnewline
47 & 0.044221 & 0.4488 & 0.327261 \tabularnewline
48 & -0.068363 & -0.6938 & 0.244682 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301939&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]-0.035357[/C][C]-0.3588[/C][C]0.360226[/C][/ROW]
[ROW][C]2[/C][C]-0.025882[/C][C]-0.2627[/C][C]0.396663[/C][/ROW]
[ROW][C]3[/C][C]0.069291[/C][C]0.7032[/C][C]0.24175[/C][/ROW]
[ROW][C]4[/C][C]-0.162626[/C][C]-1.6505[/C][C]0.050946[/C][/ROW]
[ROW][C]5[/C][C]0.028318[/C][C]0.2874[/C][C]0.387192[/C][/ROW]
[ROW][C]6[/C][C]-0.1434[/C][C]-1.4554[/C][C]0.074306[/C][/ROW]
[ROW][C]7[/C][C]-0.007951[/C][C]-0.0807[/C][C]0.467923[/C][/ROW]
[ROW][C]8[/C][C]0.040009[/C][C]0.406[/C][C]0.342777[/C][/ROW]
[ROW][C]9[/C][C]0.050525[/C][C]0.5128[/C][C]0.304603[/C][/ROW]
[ROW][C]10[/C][C]-0.069346[/C][C]-0.7038[/C][C]0.241577[/C][/ROW]
[ROW][C]11[/C][C]-0.011355[/C][C]-0.1152[/C][C]0.454238[/C][/ROW]
[ROW][C]12[/C][C]-0.318924[/C][C]-3.2367[/C][C]0.000813[/C][/ROW]
[ROW][C]13[/C][C]0.019974[/C][C]0.2027[/C][C]0.419878[/C][/ROW]
[ROW][C]14[/C][C]-0.005799[/C][C]-0.0589[/C][C]0.476593[/C][/ROW]
[ROW][C]15[/C][C]-0.082439[/C][C]-0.8367[/C][C]0.202358[/C][/ROW]
[ROW][C]16[/C][C]-0.135725[/C][C]-1.3775[/C][C]0.085679[/C][/ROW]
[ROW][C]17[/C][C]-0.011101[/C][C]-0.1127[/C][C]0.45526[/C][/ROW]
[ROW][C]18[/C][C]0.079048[/C][C]0.8022[/C][C]0.212129[/C][/ROW]
[ROW][C]19[/C][C]0.073132[/C][C]0.7422[/C][C]0.229825[/C][/ROW]
[ROW][C]20[/C][C]0.100466[/C][C]1.0196[/C][C]0.155148[/C][/ROW]
[ROW][C]21[/C][C]0.178223[/C][C]1.8088[/C][C]0.036703[/C][/ROW]
[ROW][C]22[/C][C]-0.014418[/C][C]-0.1463[/C][C]0.441977[/C][/ROW]
[ROW][C]23[/C][C]0.079386[/C][C]0.8057[/C][C]0.211143[/C][/ROW]
[ROW][C]24[/C][C]-0.157108[/C][C]-1.5945[/C][C]0.056947[/C][/ROW]
[ROW][C]25[/C][C]-0.070134[/C][C]-0.7118[/C][C]0.239105[/C][/ROW]
[ROW][C]26[/C][C]0.032786[/C][C]0.3327[/C][C]0.370004[/C][/ROW]
[ROW][C]27[/C][C]-0.10936[/C][C]-1.1099[/C][C]0.134817[/C][/ROW]
[ROW][C]28[/C][C]-0.044543[/C][C]-0.4521[/C][C]0.326089[/C][/ROW]
[ROW][C]29[/C][C]-0.06928[/C][C]-0.7031[/C][C]0.241785[/C][/ROW]
[ROW][C]30[/C][C]-0.101967[/C][C]-1.0349[/C][C]0.151581[/C][/ROW]
[ROW][C]31[/C][C]-0.065993[/C][C]-0.6698[/C][C]0.252255[/C][/ROW]
[ROW][C]32[/C][C]0.080071[/C][C]0.8126[/C][C]0.209151[/C][/ROW]
[ROW][C]33[/C][C]-0.017944[/C][C]-0.1821[/C][C]0.427927[/C][/ROW]
[ROW][C]34[/C][C]-0.088293[/C][C]-0.8961[/C][C]0.186152[/C][/ROW]
[ROW][C]35[/C][C]0.055469[/C][C]0.5629[/C][C]0.287348[/C][/ROW]
[ROW][C]36[/C][C]-0.095169[/C][C]-0.9659[/C][C]0.168189[/C][/ROW]
[ROW][C]37[/C][C]0.079938[/C][C]0.8113[/C][C]0.209539[/C][/ROW]
[ROW][C]38[/C][C]0.032227[/C][C]0.3271[/C][C]0.372139[/C][/ROW]
[ROW][C]39[/C][C]-0.067857[/C][C]-0.6887[/C][C]0.246289[/C][/ROW]
[ROW][C]40[/C][C]-0.066744[/C][C]-0.6774[/C][C]0.249843[/C][/ROW]
[ROW][C]41[/C][C]-0.047943[/C][C]-0.4866[/C][C]0.3138[/C][/ROW]
[ROW][C]42[/C][C]0.049802[/C][C]0.5054[/C][C]0.307168[/C][/ROW]
[ROW][C]43[/C][C]0.087572[/C][C]0.8888[/C][C]0.188103[/C][/ROW]
[ROW][C]44[/C][C]0.001455[/C][C]0.0148[/C][C]0.494123[/C][/ROW]
[ROW][C]45[/C][C]-0.144573[/C][C]-1.4673[/C][C]0.072676[/C][/ROW]
[ROW][C]46[/C][C]-0.113486[/C][C]-1.1518[/C][C]0.126044[/C][/ROW]
[ROW][C]47[/C][C]0.044221[/C][C]0.4488[/C][C]0.327261[/C][/ROW]
[ROW][C]48[/C][C]-0.068363[/C][C]-0.6938[/C][C]0.244682[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301939&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301939&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	-0.035357	-0.3588	0.360226
2	-0.025882	-0.2627	0.396663
3	0.069291	0.7032	0.24175
4	-0.162626	-1.6505	0.050946
5	0.028318	0.2874	0.387192
6	-0.1434	-1.4554	0.074306
7	-0.007951	-0.0807	0.467923
8	0.040009	0.406	0.342777
9	0.050525	0.5128	0.304603
10	-0.069346	-0.7038	0.241577
11	-0.011355	-0.1152	0.454238
12	-0.318924	-3.2367	0.000813
13	0.019974	0.2027	0.419878
14	-0.005799	-0.0589	0.476593
15	-0.082439	-0.8367	0.202358
16	-0.135725	-1.3775	0.085679
17	-0.011101	-0.1127	0.45526
18	0.079048	0.8022	0.212129
19	0.073132	0.7422	0.229825
20	0.100466	1.0196	0.155148
21	0.178223	1.8088	0.036703
22	-0.014418	-0.1463	0.441977
23	0.079386	0.8057	0.211143
24	-0.157108	-1.5945	0.056947
25	-0.070134	-0.7118	0.239105
26	0.032786	0.3327	0.370004
27	-0.10936	-1.1099	0.134817
28	-0.044543	-0.4521	0.326089
29	-0.06928	-0.7031	0.241785
30	-0.101967	-1.0349	0.151581
31	-0.065993	-0.6698	0.252255
32	0.080071	0.8126	0.209151
33	-0.017944	-0.1821	0.427927
34	-0.088293	-0.8961	0.186152
35	0.055469	0.5629	0.287348
36	-0.095169	-0.9659	0.168189
37	0.079938	0.8113	0.209539
38	0.032227	0.3271	0.372139
39	-0.067857	-0.6887	0.246289
40	-0.066744	-0.6774	0.249843
41	-0.047943	-0.4866	0.3138
42	0.049802	0.5054	0.307168
43	0.087572	0.8888	0.188103
44	0.001455	0.0148	0.494123
45	-0.144573	-1.4673	0.072676
46	-0.113486	-1.1518	0.126044
47	0.044221	0.4488	0.327261
48	-0.068363	-0.6938	0.244682

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 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

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