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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 04 Jun 2009 08:11:57 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/04/t1244124867rky8itpccovcclg.htm/, Retrieved Tue, 14 May 2024 20:33:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41684, Retrieved Tue, 14 May 2024 20:33:08 +0000

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Estimated Impact

104

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-       [(Partial) Autocorrelation Function] [opgave6Eigenreeks...] [2009-06-04 14:11:57] [791ed687546d9528c8a01d986e6abead] [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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41684&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41684&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41684&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.937489	8.7944	0
2	0.874588	8.2044	0
3	0.819414	7.6868	0
4	0.762996	7.1575	0
5	0.701042	6.5764	0
6	0.639969	6.0034	0
7	0.592443	5.5576	0
8	0.543729	5.1006	1e-06
9	0.493598	4.6304	6e-06
10	0.43733	4.1025	4.5e-05
11	0.384708	3.6089	0.000255
12	0.337275	3.1639	0.001069
13	0.296155	2.7782	0.003341
14	0.260911	2.4476	0.008184
15	0.222814	2.0902	0.019743
16	0.185028	1.7357	0.043057
17	0.161321	1.5133	0.06689
18	0.13969	1.3104	0.096734
19	0.112642	1.0567	0.146776
20	0.075595	0.7091	0.240056
21	0.043148	0.4048	0.343317
22	0.019105	0.1792	0.429089
23	-0.001144	-0.0107	0.495731
24	-0.011174	-0.1048	0.458377
25	-0.016752	-0.1571	0.437744
26	-0.018319	-0.1718	0.431978
27	-0.024825	-0.2329	0.408199
28	-0.042636	-0.4	0.345079
29	-0.057232	-0.5369	0.296352
30	-0.058285	-0.5468	0.292962
31	-0.050986	-0.4783	0.316815
32	-0.053874	-0.5054	0.307277
33	-0.049147	-0.461	0.322954
34	-0.033989	-0.3188	0.375299
35	-0.004579	-0.043	0.482916
36	0.019605	0.1839	0.427254
37	0.029322	0.2751	0.391957
38	0.046717	0.4382	0.331141
39	0.066667	0.6254	0.266665
40	0.070198	0.6585	0.255962
41	0.067497	0.6332	0.264129
42	0.062391	0.5853	0.279929
43	0.047339	0.4441	0.329038
44	0.031901	0.2993	0.382724
45	0.015821	0.1484	0.441176
46	-0.006158	-0.0578	0.477034
47	-0.057418	-0.5386	0.295752
48	-0.079622	-0.7469	0.228552

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.937489 & 8.7944 & 0 \tabularnewline
2 & 0.874588 & 8.2044 & 0 \tabularnewline
3 & 0.819414 & 7.6868 & 0 \tabularnewline
4 & 0.762996 & 7.1575 & 0 \tabularnewline
5 & 0.701042 & 6.5764 & 0 \tabularnewline
6 & 0.639969 & 6.0034 & 0 \tabularnewline
7 & 0.592443 & 5.5576 & 0 \tabularnewline
8 & 0.543729 & 5.1006 & 1e-06 \tabularnewline
9 & 0.493598 & 4.6304 & 6e-06 \tabularnewline
10 & 0.43733 & 4.1025 & 4.5e-05 \tabularnewline
11 & 0.384708 & 3.6089 & 0.000255 \tabularnewline
12 & 0.337275 & 3.1639 & 0.001069 \tabularnewline
13 & 0.296155 & 2.7782 & 0.003341 \tabularnewline
14 & 0.260911 & 2.4476 & 0.008184 \tabularnewline
15 & 0.222814 & 2.0902 & 0.019743 \tabularnewline
16 & 0.185028 & 1.7357 & 0.043057 \tabularnewline
17 & 0.161321 & 1.5133 & 0.06689 \tabularnewline
18 & 0.13969 & 1.3104 & 0.096734 \tabularnewline
19 & 0.112642 & 1.0567 & 0.146776 \tabularnewline
20 & 0.075595 & 0.7091 & 0.240056 \tabularnewline
21 & 0.043148 & 0.4048 & 0.343317 \tabularnewline
22 & 0.019105 & 0.1792 & 0.429089 \tabularnewline
23 & -0.001144 & -0.0107 & 0.495731 \tabularnewline
24 & -0.011174 & -0.1048 & 0.458377 \tabularnewline
25 & -0.016752 & -0.1571 & 0.437744 \tabularnewline
26 & -0.018319 & -0.1718 & 0.431978 \tabularnewline
27 & -0.024825 & -0.2329 & 0.408199 \tabularnewline
28 & -0.042636 & -0.4 & 0.345079 \tabularnewline
29 & -0.057232 & -0.5369 & 0.296352 \tabularnewline
30 & -0.058285 & -0.5468 & 0.292962 \tabularnewline
31 & -0.050986 & -0.4783 & 0.316815 \tabularnewline
32 & -0.053874 & -0.5054 & 0.307277 \tabularnewline
33 & -0.049147 & -0.461 & 0.322954 \tabularnewline
34 & -0.033989 & -0.3188 & 0.375299 \tabularnewline
35 & -0.004579 & -0.043 & 0.482916 \tabularnewline
36 & 0.019605 & 0.1839 & 0.427254 \tabularnewline
37 & 0.029322 & 0.2751 & 0.391957 \tabularnewline
38 & 0.046717 & 0.4382 & 0.331141 \tabularnewline
39 & 0.066667 & 0.6254 & 0.266665 \tabularnewline
40 & 0.070198 & 0.6585 & 0.255962 \tabularnewline
41 & 0.067497 & 0.6332 & 0.264129 \tabularnewline
42 & 0.062391 & 0.5853 & 0.279929 \tabularnewline
43 & 0.047339 & 0.4441 & 0.329038 \tabularnewline
44 & 0.031901 & 0.2993 & 0.382724 \tabularnewline
45 & 0.015821 & 0.1484 & 0.441176 \tabularnewline
46 & -0.006158 & -0.0578 & 0.477034 \tabularnewline
47 & -0.057418 & -0.5386 & 0.295752 \tabularnewline
48 & -0.079622 & -0.7469 & 0.228552 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41684&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]0.937489[/C][C]8.7944[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.874588[/C][C]8.2044[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.819414[/C][C]7.6868[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.762996[/C][C]7.1575[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.701042[/C][C]6.5764[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.639969[/C][C]6.0034[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.592443[/C][C]5.5576[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.543729[/C][C]5.1006[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.493598[/C][C]4.6304[/C][C]6e-06[/C][/ROW]
[ROW][C]10[/C][C]0.43733[/C][C]4.1025[/C][C]4.5e-05[/C][/ROW]
[ROW][C]11[/C][C]0.384708[/C][C]3.6089[/C][C]0.000255[/C][/ROW]
[ROW][C]12[/C][C]0.337275[/C][C]3.1639[/C][C]0.001069[/C][/ROW]
[ROW][C]13[/C][C]0.296155[/C][C]2.7782[/C][C]0.003341[/C][/ROW]
[ROW][C]14[/C][C]0.260911[/C][C]2.4476[/C][C]0.008184[/C][/ROW]
[ROW][C]15[/C][C]0.222814[/C][C]2.0902[/C][C]0.019743[/C][/ROW]
[ROW][C]16[/C][C]0.185028[/C][C]1.7357[/C][C]0.043057[/C][/ROW]
[ROW][C]17[/C][C]0.161321[/C][C]1.5133[/C][C]0.06689[/C][/ROW]
[ROW][C]18[/C][C]0.13969[/C][C]1.3104[/C][C]0.096734[/C][/ROW]
[ROW][C]19[/C][C]0.112642[/C][C]1.0567[/C][C]0.146776[/C][/ROW]
[ROW][C]20[/C][C]0.075595[/C][C]0.7091[/C][C]0.240056[/C][/ROW]
[ROW][C]21[/C][C]0.043148[/C][C]0.4048[/C][C]0.343317[/C][/ROW]
[ROW][C]22[/C][C]0.019105[/C][C]0.1792[/C][C]0.429089[/C][/ROW]
[ROW][C]23[/C][C]-0.001144[/C][C]-0.0107[/C][C]0.495731[/C][/ROW]
[ROW][C]24[/C][C]-0.011174[/C][C]-0.1048[/C][C]0.458377[/C][/ROW]
[ROW][C]25[/C][C]-0.016752[/C][C]-0.1571[/C][C]0.437744[/C][/ROW]
[ROW][C]26[/C][C]-0.018319[/C][C]-0.1718[/C][C]0.431978[/C][/ROW]
[ROW][C]27[/C][C]-0.024825[/C][C]-0.2329[/C][C]0.408199[/C][/ROW]
[ROW][C]28[/C][C]-0.042636[/C][C]-0.4[/C][C]0.345079[/C][/ROW]
[ROW][C]29[/C][C]-0.057232[/C][C]-0.5369[/C][C]0.296352[/C][/ROW]
[ROW][C]30[/C][C]-0.058285[/C][C]-0.5468[/C][C]0.292962[/C][/ROW]
[ROW][C]31[/C][C]-0.050986[/C][C]-0.4783[/C][C]0.316815[/C][/ROW]
[ROW][C]32[/C][C]-0.053874[/C][C]-0.5054[/C][C]0.307277[/C][/ROW]
[ROW][C]33[/C][C]-0.049147[/C][C]-0.461[/C][C]0.322954[/C][/ROW]
[ROW][C]34[/C][C]-0.033989[/C][C]-0.3188[/C][C]0.375299[/C][/ROW]
[ROW][C]35[/C][C]-0.004579[/C][C]-0.043[/C][C]0.482916[/C][/ROW]
[ROW][C]36[/C][C]0.019605[/C][C]0.1839[/C][C]0.427254[/C][/ROW]
[ROW][C]37[/C][C]0.029322[/C][C]0.2751[/C][C]0.391957[/C][/ROW]
[ROW][C]38[/C][C]0.046717[/C][C]0.4382[/C][C]0.331141[/C][/ROW]
[ROW][C]39[/C][C]0.066667[/C][C]0.6254[/C][C]0.266665[/C][/ROW]
[ROW][C]40[/C][C]0.070198[/C][C]0.6585[/C][C]0.255962[/C][/ROW]
[ROW][C]41[/C][C]0.067497[/C][C]0.6332[/C][C]0.264129[/C][/ROW]
[ROW][C]42[/C][C]0.062391[/C][C]0.5853[/C][C]0.279929[/C][/ROW]
[ROW][C]43[/C][C]0.047339[/C][C]0.4441[/C][C]0.329038[/C][/ROW]
[ROW][C]44[/C][C]0.031901[/C][C]0.2993[/C][C]0.382724[/C][/ROW]
[ROW][C]45[/C][C]0.015821[/C][C]0.1484[/C][C]0.441176[/C][/ROW]
[ROW][C]46[/C][C]-0.006158[/C][C]-0.0578[/C][C]0.477034[/C][/ROW]
[ROW][C]47[/C][C]-0.057418[/C][C]-0.5386[/C][C]0.295752[/C][/ROW]
[ROW][C]48[/C][C]-0.079622[/C][C]-0.7469[/C][C]0.228552[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41684&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41684&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	0.937489	8.7944	0
2	0.874588	8.2044	0
3	0.819414	7.6868	0
4	0.762996	7.1575	0
5	0.701042	6.5764	0
6	0.639969	6.0034	0
7	0.592443	5.5576	0
8	0.543729	5.1006	1e-06
9	0.493598	4.6304	6e-06
10	0.43733	4.1025	4.5e-05
11	0.384708	3.6089	0.000255
12	0.337275	3.1639	0.001069
13	0.296155	2.7782	0.003341
14	0.260911	2.4476	0.008184
15	0.222814	2.0902	0.019743
16	0.185028	1.7357	0.043057
17	0.161321	1.5133	0.06689
18	0.13969	1.3104	0.096734
19	0.112642	1.0567	0.146776
20	0.075595	0.7091	0.240056
21	0.043148	0.4048	0.343317
22	0.019105	0.1792	0.429089
23	-0.001144	-0.0107	0.495731
24	-0.011174	-0.1048	0.458377
25	-0.016752	-0.1571	0.437744
26	-0.018319	-0.1718	0.431978
27	-0.024825	-0.2329	0.408199
28	-0.042636	-0.4	0.345079
29	-0.057232	-0.5369	0.296352
30	-0.058285	-0.5468	0.292962
31	-0.050986	-0.4783	0.316815
32	-0.053874	-0.5054	0.307277
33	-0.049147	-0.461	0.322954
34	-0.033989	-0.3188	0.375299
35	-0.004579	-0.043	0.482916
36	0.019605	0.1839	0.427254
37	0.029322	0.2751	0.391957
38	0.046717	0.4382	0.331141
39	0.066667	0.6254	0.266665
40	0.070198	0.6585	0.255962
41	0.067497	0.6332	0.264129
42	0.062391	0.5853	0.279929
43	0.047339	0.4441	0.329038
44	0.031901	0.2993	0.382724
45	0.015821	0.1484	0.441176
46	-0.006158	-0.0578	0.477034
47	-0.057418	-0.5386	0.295752
48	-0.079622	-0.7469	0.228552

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.937489	8.7944	0
2	-0.035491	-0.3329	0.369987
3	0.030343	0.2846	0.388293
4	-0.041268	-0.3871	0.349798
5	-0.074044	-0.6946	0.244569
6	-0.029821	-0.2797	0.390163
7	0.070636	0.6626	0.25465
8	-0.040038	-0.3756	0.354062
9	-0.029972	-0.2812	0.389624
10	-0.088972	-0.8346	0.203092
11	-0.016527	-0.155	0.438575
12	0.001384	0.013	0.494834
13	0.032544	0.3053	0.380434
14	0.021613	0.2028	0.419899
15	-0.053347	-0.5004	0.309007
16	-0.041187	-0.3864	0.350078
17	0.083491	0.7832	0.217803
18	-0.003674	-0.0345	0.486293
19	-0.043105	-0.4044	0.343465
20	-0.11075	-1.0389	0.150842
21	-0.019802	-0.1858	0.426529
22	0.026837	0.2518	0.400911
23	0.036863	0.3458	0.365157
24	0.082361	0.7726	0.22091
25	0.010887	0.1021	0.459442
26	-0.01085	-0.1018	0.45958
27	-0.05243	-0.4918	0.312031
28	-0.098929	-0.928	0.177963
29	0.025886	0.2428	0.404349
30	0.11014	1.0332	0.15217
31	0.057677	0.5411	0.294919
32	-0.098782	-0.9267	0.178318
33	0.036047	0.3381	0.368028
34	0.067353	0.6318	0.26457
35	0.15912	1.4927	0.069549
36	0.00035	0.0033	0.498692
37	-0.107781	-1.0111	0.157377
38	0.020996	0.197	0.422157
39	0.026204	0.2458	0.4032
40	-0.098668	-0.9256	0.178595
41	-0.011673	-0.1095	0.456526
42	-0.051166	-0.48	0.316215
43	-0.142038	-1.3324	0.093078
44	-0.039164	-0.3674	0.357106
45	0.010586	0.0993	0.46056
46	0.0143	0.1342	0.446795
47	-0.23972	-2.2488	0.013512
48	0.188253	1.766	0.040435

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.937489 & 8.7944 & 0 \tabularnewline
2 & -0.035491 & -0.3329 & 0.369987 \tabularnewline
3 & 0.030343 & 0.2846 & 0.388293 \tabularnewline
4 & -0.041268 & -0.3871 & 0.349798 \tabularnewline
5 & -0.074044 & -0.6946 & 0.244569 \tabularnewline
6 & -0.029821 & -0.2797 & 0.390163 \tabularnewline
7 & 0.070636 & 0.6626 & 0.25465 \tabularnewline
8 & -0.040038 & -0.3756 & 0.354062 \tabularnewline
9 & -0.029972 & -0.2812 & 0.389624 \tabularnewline
10 & -0.088972 & -0.8346 & 0.203092 \tabularnewline
11 & -0.016527 & -0.155 & 0.438575 \tabularnewline
12 & 0.001384 & 0.013 & 0.494834 \tabularnewline
13 & 0.032544 & 0.3053 & 0.380434 \tabularnewline
14 & 0.021613 & 0.2028 & 0.419899 \tabularnewline
15 & -0.053347 & -0.5004 & 0.309007 \tabularnewline
16 & -0.041187 & -0.3864 & 0.350078 \tabularnewline
17 & 0.083491 & 0.7832 & 0.217803 \tabularnewline
18 & -0.003674 & -0.0345 & 0.486293 \tabularnewline
19 & -0.043105 & -0.4044 & 0.343465 \tabularnewline
20 & -0.11075 & -1.0389 & 0.150842 \tabularnewline
21 & -0.019802 & -0.1858 & 0.426529 \tabularnewline
22 & 0.026837 & 0.2518 & 0.400911 \tabularnewline
23 & 0.036863 & 0.3458 & 0.365157 \tabularnewline
24 & 0.082361 & 0.7726 & 0.22091 \tabularnewline
25 & 0.010887 & 0.1021 & 0.459442 \tabularnewline
26 & -0.01085 & -0.1018 & 0.45958 \tabularnewline
27 & -0.05243 & -0.4918 & 0.312031 \tabularnewline
28 & -0.098929 & -0.928 & 0.177963 \tabularnewline
29 & 0.025886 & 0.2428 & 0.404349 \tabularnewline
30 & 0.11014 & 1.0332 & 0.15217 \tabularnewline
31 & 0.057677 & 0.5411 & 0.294919 \tabularnewline
32 & -0.098782 & -0.9267 & 0.178318 \tabularnewline
33 & 0.036047 & 0.3381 & 0.368028 \tabularnewline
34 & 0.067353 & 0.6318 & 0.26457 \tabularnewline
35 & 0.15912 & 1.4927 & 0.069549 \tabularnewline
36 & 0.00035 & 0.0033 & 0.498692 \tabularnewline
37 & -0.107781 & -1.0111 & 0.157377 \tabularnewline
38 & 0.020996 & 0.197 & 0.422157 \tabularnewline
39 & 0.026204 & 0.2458 & 0.4032 \tabularnewline
40 & -0.098668 & -0.9256 & 0.178595 \tabularnewline
41 & -0.011673 & -0.1095 & 0.456526 \tabularnewline
42 & -0.051166 & -0.48 & 0.316215 \tabularnewline
43 & -0.142038 & -1.3324 & 0.093078 \tabularnewline
44 & -0.039164 & -0.3674 & 0.357106 \tabularnewline
45 & 0.010586 & 0.0993 & 0.46056 \tabularnewline
46 & 0.0143 & 0.1342 & 0.446795 \tabularnewline
47 & -0.23972 & -2.2488 & 0.013512 \tabularnewline
48 & 0.188253 & 1.766 & 0.040435 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41684&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]0.937489[/C][C]8.7944[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.035491[/C][C]-0.3329[/C][C]0.369987[/C][/ROW]
[ROW][C]3[/C][C]0.030343[/C][C]0.2846[/C][C]0.388293[/C][/ROW]
[ROW][C]4[/C][C]-0.041268[/C][C]-0.3871[/C][C]0.349798[/C][/ROW]
[ROW][C]5[/C][C]-0.074044[/C][C]-0.6946[/C][C]0.244569[/C][/ROW]
[ROW][C]6[/C][C]-0.029821[/C][C]-0.2797[/C][C]0.390163[/C][/ROW]
[ROW][C]7[/C][C]0.070636[/C][C]0.6626[/C][C]0.25465[/C][/ROW]
[ROW][C]8[/C][C]-0.040038[/C][C]-0.3756[/C][C]0.354062[/C][/ROW]
[ROW][C]9[/C][C]-0.029972[/C][C]-0.2812[/C][C]0.389624[/C][/ROW]
[ROW][C]10[/C][C]-0.088972[/C][C]-0.8346[/C][C]0.203092[/C][/ROW]
[ROW][C]11[/C][C]-0.016527[/C][C]-0.155[/C][C]0.438575[/C][/ROW]
[ROW][C]12[/C][C]0.001384[/C][C]0.013[/C][C]0.494834[/C][/ROW]
[ROW][C]13[/C][C]0.032544[/C][C]0.3053[/C][C]0.380434[/C][/ROW]
[ROW][C]14[/C][C]0.021613[/C][C]0.2028[/C][C]0.419899[/C][/ROW]
[ROW][C]15[/C][C]-0.053347[/C][C]-0.5004[/C][C]0.309007[/C][/ROW]
[ROW][C]16[/C][C]-0.041187[/C][C]-0.3864[/C][C]0.350078[/C][/ROW]
[ROW][C]17[/C][C]0.083491[/C][C]0.7832[/C][C]0.217803[/C][/ROW]
[ROW][C]18[/C][C]-0.003674[/C][C]-0.0345[/C][C]0.486293[/C][/ROW]
[ROW][C]19[/C][C]-0.043105[/C][C]-0.4044[/C][C]0.343465[/C][/ROW]
[ROW][C]20[/C][C]-0.11075[/C][C]-1.0389[/C][C]0.150842[/C][/ROW]
[ROW][C]21[/C][C]-0.019802[/C][C]-0.1858[/C][C]0.426529[/C][/ROW]
[ROW][C]22[/C][C]0.026837[/C][C]0.2518[/C][C]0.400911[/C][/ROW]
[ROW][C]23[/C][C]0.036863[/C][C]0.3458[/C][C]0.365157[/C][/ROW]
[ROW][C]24[/C][C]0.082361[/C][C]0.7726[/C][C]0.22091[/C][/ROW]
[ROW][C]25[/C][C]0.010887[/C][C]0.1021[/C][C]0.459442[/C][/ROW]
[ROW][C]26[/C][C]-0.01085[/C][C]-0.1018[/C][C]0.45958[/C][/ROW]
[ROW][C]27[/C][C]-0.05243[/C][C]-0.4918[/C][C]0.312031[/C][/ROW]
[ROW][C]28[/C][C]-0.098929[/C][C]-0.928[/C][C]0.177963[/C][/ROW]
[ROW][C]29[/C][C]0.025886[/C][C]0.2428[/C][C]0.404349[/C][/ROW]
[ROW][C]30[/C][C]0.11014[/C][C]1.0332[/C][C]0.15217[/C][/ROW]
[ROW][C]31[/C][C]0.057677[/C][C]0.5411[/C][C]0.294919[/C][/ROW]
[ROW][C]32[/C][C]-0.098782[/C][C]-0.9267[/C][C]0.178318[/C][/ROW]
[ROW][C]33[/C][C]0.036047[/C][C]0.3381[/C][C]0.368028[/C][/ROW]
[ROW][C]34[/C][C]0.067353[/C][C]0.6318[/C][C]0.26457[/C][/ROW]
[ROW][C]35[/C][C]0.15912[/C][C]1.4927[/C][C]0.069549[/C][/ROW]
[ROW][C]36[/C][C]0.00035[/C][C]0.0033[/C][C]0.498692[/C][/ROW]
[ROW][C]37[/C][C]-0.107781[/C][C]-1.0111[/C][C]0.157377[/C][/ROW]
[ROW][C]38[/C][C]0.020996[/C][C]0.197[/C][C]0.422157[/C][/ROW]
[ROW][C]39[/C][C]0.026204[/C][C]0.2458[/C][C]0.4032[/C][/ROW]
[ROW][C]40[/C][C]-0.098668[/C][C]-0.9256[/C][C]0.178595[/C][/ROW]
[ROW][C]41[/C][C]-0.011673[/C][C]-0.1095[/C][C]0.456526[/C][/ROW]
[ROW][C]42[/C][C]-0.051166[/C][C]-0.48[/C][C]0.316215[/C][/ROW]
[ROW][C]43[/C][C]-0.142038[/C][C]-1.3324[/C][C]0.093078[/C][/ROW]
[ROW][C]44[/C][C]-0.039164[/C][C]-0.3674[/C][C]0.357106[/C][/ROW]
[ROW][C]45[/C][C]0.010586[/C][C]0.0993[/C][C]0.46056[/C][/ROW]
[ROW][C]46[/C][C]0.0143[/C][C]0.1342[/C][C]0.446795[/C][/ROW]
[ROW][C]47[/C][C]-0.23972[/C][C]-2.2488[/C][C]0.013512[/C][/ROW]
[ROW][C]48[/C][C]0.188253[/C][C]1.766[/C][C]0.040435[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41684&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41684&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	0.937489	8.7944	0
2	-0.035491	-0.3329	0.369987
3	0.030343	0.2846	0.388293
4	-0.041268	-0.3871	0.349798
5	-0.074044	-0.6946	0.244569
6	-0.029821	-0.2797	0.390163
7	0.070636	0.6626	0.25465
8	-0.040038	-0.3756	0.354062
9	-0.029972	-0.2812	0.389624
10	-0.088972	-0.8346	0.203092
11	-0.016527	-0.155	0.438575
12	0.001384	0.013	0.494834
13	0.032544	0.3053	0.380434
14	0.021613	0.2028	0.419899
15	-0.053347	-0.5004	0.309007
16	-0.041187	-0.3864	0.350078
17	0.083491	0.7832	0.217803
18	-0.003674	-0.0345	0.486293
19	-0.043105	-0.4044	0.343465
20	-0.11075	-1.0389	0.150842
21	-0.019802	-0.1858	0.426529
22	0.026837	0.2518	0.400911
23	0.036863	0.3458	0.365157
24	0.082361	0.7726	0.22091
25	0.010887	0.1021	0.459442
26	-0.01085	-0.1018	0.45958
27	-0.05243	-0.4918	0.312031
28	-0.098929	-0.928	0.177963
29	0.025886	0.2428	0.404349
30	0.11014	1.0332	0.15217
31	0.057677	0.5411	0.294919
32	-0.098782	-0.9267	0.178318
33	0.036047	0.3381	0.368028
34	0.067353	0.6318	0.26457
35	0.15912	1.4927	0.069549
36	0.00035	0.0033	0.498692
37	-0.107781	-1.0111	0.157377
38	0.020996	0.197	0.422157
39	0.026204	0.2458	0.4032
40	-0.098668	-0.9256	0.178595
41	-0.011673	-0.1095	0.456526
42	-0.051166	-0.48	0.316215
43	-0.142038	-1.3324	0.093078
44	-0.039164	-0.3674	0.357106
45	0.010586	0.0993	0.46056
46	0.0143	0.1342	0.446795
47	-0.23972	-2.2488	0.013512
48	0.188253	1.766	0.040435

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 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