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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 29 Nov 2007 11:07:12 -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/29/t1196359054q3pxz5rw3qttf2o.htm/, Retrieved Fri, 03 May 2024 09:48:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7558, Retrieved Fri, 03 May 2024 09:48:34 +0000

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User-defined keywords

bridome

Estimated Impact

162

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-       [(Partial) Autocorrelation Function] [workshop3] [2007-11-29 18:07:12] [9cd804c1ac16035a4cb2da1c6dfdb61e] [Current]

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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=7558&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=7558&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7558&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	10.247	0
1	-0.322018	-3.2997	0.999339
2	-0.356291	-3.6509	0.999795
3	0.407066	4.1712	3.1e-05
4	-0.364216	-3.7321	0.999846
5	-0.141583	-1.4508	0.925091
6	0.6008	6.1564	0
7	-0.193547	-1.9833	0.975026
8	-0.262058	-2.6853	0.995788
9	0.373478	3.827	0.00011
10	-0.426891	-4.3743	0.999986
11	-0.172031	-1.7628	0.959578
12	0.737732	7.5595	0
13	-0.231107	-2.3681	0.990146
14	-0.274541	-2.8132	0.997072
15	0.333573	3.4181	0.000449
16	-0.341195	-3.4962	0.999654
17	-0.107976	-1.1064	0.864464
18	0.522012	5.349	0
19	-0.180034	-1.8448	0.966057
20	-0.193864	-1.9865	0.975209
21	0.277522	2.8438	0.00268
22	-0.370451	-3.796	0.999877
23	-0.09641	-0.9879	0.837266
24	0.562748	5.7664	0
25	-0.157662	-1.6156	0.945404
26	-0.212286	-2.1753	0.984074
27	0.240361	2.463	0.007703
28	-0.277757	-2.8462	0.997339
29	-0.058808	-0.6026	0.725963
30	0.379727	3.891	8.8e-05
31	-0.106265	-1.0889	0.860652
32	-0.155672	-1.5952	0.943159
33	0.216306	2.2165	0.014408
34	-0.291372	-2.9857	0.998239
35	-0.102941	-1.0548	0.853039
36	0.453769	4.6497	5e-06
37	-0.086772	-0.8891	0.812022
38	-0.211132	-2.1635	0.983613
39	0.186987	1.916	0.02904
40	-0.188379	-1.9303	0.971867
41	-0.078161	-0.8009	0.787504
42	0.31051	3.1818	0.000963
43	-0.071422	-0.7319	0.767058
44	-0.143816	-1.4737	0.92822
45	0.169081	1.7326	0.043054
46	-0.204807	-2.0986	0.980877
47	-0.106113	-1.0873	0.860311

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 10.247 & 0 \tabularnewline
1 & -0.322018 & -3.2997 & 0.999339 \tabularnewline
2 & -0.356291 & -3.6509 & 0.999795 \tabularnewline
3 & 0.407066 & 4.1712 & 3.1e-05 \tabularnewline
4 & -0.364216 & -3.7321 & 0.999846 \tabularnewline
5 & -0.141583 & -1.4508 & 0.925091 \tabularnewline
6 & 0.6008 & 6.1564 & 0 \tabularnewline
7 & -0.193547 & -1.9833 & 0.975026 \tabularnewline
8 & -0.262058 & -2.6853 & 0.995788 \tabularnewline
9 & 0.373478 & 3.827 & 0.00011 \tabularnewline
10 & -0.426891 & -4.3743 & 0.999986 \tabularnewline
11 & -0.172031 & -1.7628 & 0.959578 \tabularnewline
12 & 0.737732 & 7.5595 & 0 \tabularnewline
13 & -0.231107 & -2.3681 & 0.990146 \tabularnewline
14 & -0.274541 & -2.8132 & 0.997072 \tabularnewline
15 & 0.333573 & 3.4181 & 0.000449 \tabularnewline
16 & -0.341195 & -3.4962 & 0.999654 \tabularnewline
17 & -0.107976 & -1.1064 & 0.864464 \tabularnewline
18 & 0.522012 & 5.349 & 0 \tabularnewline
19 & -0.180034 & -1.8448 & 0.966057 \tabularnewline
20 & -0.193864 & -1.9865 & 0.975209 \tabularnewline
21 & 0.277522 & 2.8438 & 0.00268 \tabularnewline
22 & -0.370451 & -3.796 & 0.999877 \tabularnewline
23 & -0.09641 & -0.9879 & 0.837266 \tabularnewline
24 & 0.562748 & 5.7664 & 0 \tabularnewline
25 & -0.157662 & -1.6156 & 0.945404 \tabularnewline
26 & -0.212286 & -2.1753 & 0.984074 \tabularnewline
27 & 0.240361 & 2.463 & 0.007703 \tabularnewline
28 & -0.277757 & -2.8462 & 0.997339 \tabularnewline
29 & -0.058808 & -0.6026 & 0.725963 \tabularnewline
30 & 0.379727 & 3.891 & 8.8e-05 \tabularnewline
31 & -0.106265 & -1.0889 & 0.860652 \tabularnewline
32 & -0.155672 & -1.5952 & 0.943159 \tabularnewline
33 & 0.216306 & 2.2165 & 0.014408 \tabularnewline
34 & -0.291372 & -2.9857 & 0.998239 \tabularnewline
35 & -0.102941 & -1.0548 & 0.853039 \tabularnewline
36 & 0.453769 & 4.6497 & 5e-06 \tabularnewline
37 & -0.086772 & -0.8891 & 0.812022 \tabularnewline
38 & -0.211132 & -2.1635 & 0.983613 \tabularnewline
39 & 0.186987 & 1.916 & 0.02904 \tabularnewline
40 & -0.188379 & -1.9303 & 0.971867 \tabularnewline
41 & -0.078161 & -0.8009 & 0.787504 \tabularnewline
42 & 0.31051 & 3.1818 & 0.000963 \tabularnewline
43 & -0.071422 & -0.7319 & 0.767058 \tabularnewline
44 & -0.143816 & -1.4737 & 0.92822 \tabularnewline
45 & 0.169081 & 1.7326 & 0.043054 \tabularnewline
46 & -0.204807 & -2.0986 & 0.980877 \tabularnewline
47 & -0.106113 & -1.0873 & 0.860311 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7558&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]10.247[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.322018[/C][C]-3.2997[/C][C]0.999339[/C][/ROW]
[ROW][C]2[/C][C]-0.356291[/C][C]-3.6509[/C][C]0.999795[/C][/ROW]
[ROW][C]3[/C][C]0.407066[/C][C]4.1712[/C][C]3.1e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.364216[/C][C]-3.7321[/C][C]0.999846[/C][/ROW]
[ROW][C]5[/C][C]-0.141583[/C][C]-1.4508[/C][C]0.925091[/C][/ROW]
[ROW][C]6[/C][C]0.6008[/C][C]6.1564[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]-0.193547[/C][C]-1.9833[/C][C]0.975026[/C][/ROW]
[ROW][C]8[/C][C]-0.262058[/C][C]-2.6853[/C][C]0.995788[/C][/ROW]
[ROW][C]9[/C][C]0.373478[/C][C]3.827[/C][C]0.00011[/C][/ROW]
[ROW][C]10[/C][C]-0.426891[/C][C]-4.3743[/C][C]0.999986[/C][/ROW]
[ROW][C]11[/C][C]-0.172031[/C][C]-1.7628[/C][C]0.959578[/C][/ROW]
[ROW][C]12[/C][C]0.737732[/C][C]7.5595[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.231107[/C][C]-2.3681[/C][C]0.990146[/C][/ROW]
[ROW][C]14[/C][C]-0.274541[/C][C]-2.8132[/C][C]0.997072[/C][/ROW]
[ROW][C]15[/C][C]0.333573[/C][C]3.4181[/C][C]0.000449[/C][/ROW]
[ROW][C]16[/C][C]-0.341195[/C][C]-3.4962[/C][C]0.999654[/C][/ROW]
[ROW][C]17[/C][C]-0.107976[/C][C]-1.1064[/C][C]0.864464[/C][/ROW]
[ROW][C]18[/C][C]0.522012[/C][C]5.349[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]-0.180034[/C][C]-1.8448[/C][C]0.966057[/C][/ROW]
[ROW][C]20[/C][C]-0.193864[/C][C]-1.9865[/C][C]0.975209[/C][/ROW]
[ROW][C]21[/C][C]0.277522[/C][C]2.8438[/C][C]0.00268[/C][/ROW]
[ROW][C]22[/C][C]-0.370451[/C][C]-3.796[/C][C]0.999877[/C][/ROW]
[ROW][C]23[/C][C]-0.09641[/C][C]-0.9879[/C][C]0.837266[/C][/ROW]
[ROW][C]24[/C][C]0.562748[/C][C]5.7664[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.157662[/C][C]-1.6156[/C][C]0.945404[/C][/ROW]
[ROW][C]26[/C][C]-0.212286[/C][C]-2.1753[/C][C]0.984074[/C][/ROW]
[ROW][C]27[/C][C]0.240361[/C][C]2.463[/C][C]0.007703[/C][/ROW]
[ROW][C]28[/C][C]-0.277757[/C][C]-2.8462[/C][C]0.997339[/C][/ROW]
[ROW][C]29[/C][C]-0.058808[/C][C]-0.6026[/C][C]0.725963[/C][/ROW]
[ROW][C]30[/C][C]0.379727[/C][C]3.891[/C][C]8.8e-05[/C][/ROW]
[ROW][C]31[/C][C]-0.106265[/C][C]-1.0889[/C][C]0.860652[/C][/ROW]
[ROW][C]32[/C][C]-0.155672[/C][C]-1.5952[/C][C]0.943159[/C][/ROW]
[ROW][C]33[/C][C]0.216306[/C][C]2.2165[/C][C]0.014408[/C][/ROW]
[ROW][C]34[/C][C]-0.291372[/C][C]-2.9857[/C][C]0.998239[/C][/ROW]
[ROW][C]35[/C][C]-0.102941[/C][C]-1.0548[/C][C]0.853039[/C][/ROW]
[ROW][C]36[/C][C]0.453769[/C][C]4.6497[/C][C]5e-06[/C][/ROW]
[ROW][C]37[/C][C]-0.086772[/C][C]-0.8891[/C][C]0.812022[/C][/ROW]
[ROW][C]38[/C][C]-0.211132[/C][C]-2.1635[/C][C]0.983613[/C][/ROW]
[ROW][C]39[/C][C]0.186987[/C][C]1.916[/C][C]0.02904[/C][/ROW]
[ROW][C]40[/C][C]-0.188379[/C][C]-1.9303[/C][C]0.971867[/C][/ROW]
[ROW][C]41[/C][C]-0.078161[/C][C]-0.8009[/C][C]0.787504[/C][/ROW]
[ROW][C]42[/C][C]0.31051[/C][C]3.1818[/C][C]0.000963[/C][/ROW]
[ROW][C]43[/C][C]-0.071422[/C][C]-0.7319[/C][C]0.767058[/C][/ROW]
[ROW][C]44[/C][C]-0.143816[/C][C]-1.4737[/C][C]0.92822[/C][/ROW]
[ROW][C]45[/C][C]0.169081[/C][C]1.7326[/C][C]0.043054[/C][/ROW]
[ROW][C]46[/C][C]-0.204807[/C][C]-2.0986[/C][C]0.980877[/C][/ROW]
[ROW][C]47[/C][C]-0.106113[/C][C]-1.0873[/C][C]0.860311[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7558&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7558&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	10.247	0
1	-0.322018	-3.2997	0.999339
2	-0.356291	-3.6509	0.999795
3	0.407066	4.1712	3.1e-05
4	-0.364216	-3.7321	0.999846
5	-0.141583	-1.4508	0.925091
6	0.6008	6.1564	0
7	-0.193547	-1.9833	0.975026
8	-0.262058	-2.6853	0.995788
9	0.373478	3.827	0.00011
10	-0.426891	-4.3743	0.999986
11	-0.172031	-1.7628	0.959578
12	0.737732	7.5595	0
13	-0.231107	-2.3681	0.990146
14	-0.274541	-2.8132	0.997072
15	0.333573	3.4181	0.000449
16	-0.341195	-3.4962	0.999654
17	-0.107976	-1.1064	0.864464
18	0.522012	5.349	0
19	-0.180034	-1.8448	0.966057
20	-0.193864	-1.9865	0.975209
21	0.277522	2.8438	0.00268
22	-0.370451	-3.796	0.999877
23	-0.09641	-0.9879	0.837266
24	0.562748	5.7664	0
25	-0.157662	-1.6156	0.945404
26	-0.212286	-2.1753	0.984074
27	0.240361	2.463	0.007703
28	-0.277757	-2.8462	0.997339
29	-0.058808	-0.6026	0.725963
30	0.379727	3.891	8.8e-05
31	-0.106265	-1.0889	0.860652
32	-0.155672	-1.5952	0.943159
33	0.216306	2.2165	0.014408
34	-0.291372	-2.9857	0.998239
35	-0.102941	-1.0548	0.853039
36	0.453769	4.6497	5e-06
37	-0.086772	-0.8891	0.812022
38	-0.211132	-2.1635	0.983613
39	0.186987	1.916	0.02904
40	-0.188379	-1.9303	0.971867
41	-0.078161	-0.8009	0.787504
42	0.31051	3.1818	0.000963
43	-0.071422	-0.7319	0.767058
44	-0.143816	-1.4737	0.92822
45	0.169081	1.7326	0.043054
46	-0.204807	-2.0986	0.980877
47	-0.106113	-1.0873	0.860311

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	-0.322018	-3.2997	0.999339
1	-0.513204	-5.2588	1
2	0.103284	1.0583	0.146164
3	-0.488518	-5.0058	0.999999
4	-0.396146	-4.0593	0.999953
5	0.124107	1.2717	0.103142
6	0.139758	1.4321	0.077543
7	-0.029562	-0.3029	0.618726
8	0.183783	1.8832	0.03122
9	-0.286552	-2.9363	0.997959
10	-0.416162	-4.2644	0.999978
11	0.20517	2.1024	0.018956
12	0.252621	2.5886	0.005501
13	0.055275	0.5664	0.286166
14	-0.078376	-0.8031	0.788137
15	0.021175	0.217	0.414325
16	0.068823	0.7052	0.241117
17	-0.032559	-0.3336	0.630336
18	-0.012029	-0.1233	0.54893
19	-0.078809	-0.8076	0.789414
20	-0.175275	-1.796	0.962318
21	-0.112293	-1.1507	0.873758
22	0.009655	0.0989	0.460691
23	-0.007286	-0.0747	0.529685
24	0.041673	0.427	0.335117
25	0.006089	0.0624	0.475183
26	-0.023257	-0.2383	0.593947
27	0.006057	0.0621	0.475313
28	0.126742	1.2987	0.098443
29	-0.11469	-1.1752	0.878719
30	-0.085212	-0.8732	0.807716
31	-0.138584	-1.4201	0.920725
32	0.084241	0.8632	0.194993
33	0.050865	0.5212	0.301657
34	-0.036832	-0.3774	0.646685
35	-0.046641	-0.4779	0.683154
36	0.061717	0.6324	0.264247
37	-0.085048	-0.8715	0.80726
38	-0.048508	-0.4971	0.689907
39	-0.049126	-0.5034	0.692129
40	-0.016077	-0.1647	0.565267
41	-0.114065	-1.1688	0.877437
42	-0.062425	-0.6397	0.738109
43	-0.056846	-0.5825	0.71926
44	-0.042342	-0.4339	0.667366
45	-0.038916	-0.3988	0.654565
46	0.032565	0.3337	0.36964
47	-0.029418	-0.3014	0.618164

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.322018 & -3.2997 & 0.999339 \tabularnewline
1 & -0.513204 & -5.2588 & 1 \tabularnewline
2 & 0.103284 & 1.0583 & 0.146164 \tabularnewline
3 & -0.488518 & -5.0058 & 0.999999 \tabularnewline
4 & -0.396146 & -4.0593 & 0.999953 \tabularnewline
5 & 0.124107 & 1.2717 & 0.103142 \tabularnewline
6 & 0.139758 & 1.4321 & 0.077543 \tabularnewline
7 & -0.029562 & -0.3029 & 0.618726 \tabularnewline
8 & 0.183783 & 1.8832 & 0.03122 \tabularnewline
9 & -0.286552 & -2.9363 & 0.997959 \tabularnewline
10 & -0.416162 & -4.2644 & 0.999978 \tabularnewline
11 & 0.20517 & 2.1024 & 0.018956 \tabularnewline
12 & 0.252621 & 2.5886 & 0.005501 \tabularnewline
13 & 0.055275 & 0.5664 & 0.286166 \tabularnewline
14 & -0.078376 & -0.8031 & 0.788137 \tabularnewline
15 & 0.021175 & 0.217 & 0.414325 \tabularnewline
16 & 0.068823 & 0.7052 & 0.241117 \tabularnewline
17 & -0.032559 & -0.3336 & 0.630336 \tabularnewline
18 & -0.012029 & -0.1233 & 0.54893 \tabularnewline
19 & -0.078809 & -0.8076 & 0.789414 \tabularnewline
20 & -0.175275 & -1.796 & 0.962318 \tabularnewline
21 & -0.112293 & -1.1507 & 0.873758 \tabularnewline
22 & 0.009655 & 0.0989 & 0.460691 \tabularnewline
23 & -0.007286 & -0.0747 & 0.529685 \tabularnewline
24 & 0.041673 & 0.427 & 0.335117 \tabularnewline
25 & 0.006089 & 0.0624 & 0.475183 \tabularnewline
26 & -0.023257 & -0.2383 & 0.593947 \tabularnewline
27 & 0.006057 & 0.0621 & 0.475313 \tabularnewline
28 & 0.126742 & 1.2987 & 0.098443 \tabularnewline
29 & -0.11469 & -1.1752 & 0.878719 \tabularnewline
30 & -0.085212 & -0.8732 & 0.807716 \tabularnewline
31 & -0.138584 & -1.4201 & 0.920725 \tabularnewline
32 & 0.084241 & 0.8632 & 0.194993 \tabularnewline
33 & 0.050865 & 0.5212 & 0.301657 \tabularnewline
34 & -0.036832 & -0.3774 & 0.646685 \tabularnewline
35 & -0.046641 & -0.4779 & 0.683154 \tabularnewline
36 & 0.061717 & 0.6324 & 0.264247 \tabularnewline
37 & -0.085048 & -0.8715 & 0.80726 \tabularnewline
38 & -0.048508 & -0.4971 & 0.689907 \tabularnewline
39 & -0.049126 & -0.5034 & 0.692129 \tabularnewline
40 & -0.016077 & -0.1647 & 0.565267 \tabularnewline
41 & -0.114065 & -1.1688 & 0.877437 \tabularnewline
42 & -0.062425 & -0.6397 & 0.738109 \tabularnewline
43 & -0.056846 & -0.5825 & 0.71926 \tabularnewline
44 & -0.042342 & -0.4339 & 0.667366 \tabularnewline
45 & -0.038916 & -0.3988 & 0.654565 \tabularnewline
46 & 0.032565 & 0.3337 & 0.36964 \tabularnewline
47 & -0.029418 & -0.3014 & 0.618164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7558&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]-0.322018[/C][C]-3.2997[/C][C]0.999339[/C][/ROW]
[ROW][C]1[/C][C]-0.513204[/C][C]-5.2588[/C][C]1[/C][/ROW]
[ROW][C]2[/C][C]0.103284[/C][C]1.0583[/C][C]0.146164[/C][/ROW]
[ROW][C]3[/C][C]-0.488518[/C][C]-5.0058[/C][C]0.999999[/C][/ROW]
[ROW][C]4[/C][C]-0.396146[/C][C]-4.0593[/C][C]0.999953[/C][/ROW]
[ROW][C]5[/C][C]0.124107[/C][C]1.2717[/C][C]0.103142[/C][/ROW]
[ROW][C]6[/C][C]0.139758[/C][C]1.4321[/C][C]0.077543[/C][/ROW]
[ROW][C]7[/C][C]-0.029562[/C][C]-0.3029[/C][C]0.618726[/C][/ROW]
[ROW][C]8[/C][C]0.183783[/C][C]1.8832[/C][C]0.03122[/C][/ROW]
[ROW][C]9[/C][C]-0.286552[/C][C]-2.9363[/C][C]0.997959[/C][/ROW]
[ROW][C]10[/C][C]-0.416162[/C][C]-4.2644[/C][C]0.999978[/C][/ROW]
[ROW][C]11[/C][C]0.20517[/C][C]2.1024[/C][C]0.018956[/C][/ROW]
[ROW][C]12[/C][C]0.252621[/C][C]2.5886[/C][C]0.005501[/C][/ROW]
[ROW][C]13[/C][C]0.055275[/C][C]0.5664[/C][C]0.286166[/C][/ROW]
[ROW][C]14[/C][C]-0.078376[/C][C]-0.8031[/C][C]0.788137[/C][/ROW]
[ROW][C]15[/C][C]0.021175[/C][C]0.217[/C][C]0.414325[/C][/ROW]
[ROW][C]16[/C][C]0.068823[/C][C]0.7052[/C][C]0.241117[/C][/ROW]
[ROW][C]17[/C][C]-0.032559[/C][C]-0.3336[/C][C]0.630336[/C][/ROW]
[ROW][C]18[/C][C]-0.012029[/C][C]-0.1233[/C][C]0.54893[/C][/ROW]
[ROW][C]19[/C][C]-0.078809[/C][C]-0.8076[/C][C]0.789414[/C][/ROW]
[ROW][C]20[/C][C]-0.175275[/C][C]-1.796[/C][C]0.962318[/C][/ROW]
[ROW][C]21[/C][C]-0.112293[/C][C]-1.1507[/C][C]0.873758[/C][/ROW]
[ROW][C]22[/C][C]0.009655[/C][C]0.0989[/C][C]0.460691[/C][/ROW]
[ROW][C]23[/C][C]-0.007286[/C][C]-0.0747[/C][C]0.529685[/C][/ROW]
[ROW][C]24[/C][C]0.041673[/C][C]0.427[/C][C]0.335117[/C][/ROW]
[ROW][C]25[/C][C]0.006089[/C][C]0.0624[/C][C]0.475183[/C][/ROW]
[ROW][C]26[/C][C]-0.023257[/C][C]-0.2383[/C][C]0.593947[/C][/ROW]
[ROW][C]27[/C][C]0.006057[/C][C]0.0621[/C][C]0.475313[/C][/ROW]
[ROW][C]28[/C][C]0.126742[/C][C]1.2987[/C][C]0.098443[/C][/ROW]
[ROW][C]29[/C][C]-0.11469[/C][C]-1.1752[/C][C]0.878719[/C][/ROW]
[ROW][C]30[/C][C]-0.085212[/C][C]-0.8732[/C][C]0.807716[/C][/ROW]
[ROW][C]31[/C][C]-0.138584[/C][C]-1.4201[/C][C]0.920725[/C][/ROW]
[ROW][C]32[/C][C]0.084241[/C][C]0.8632[/C][C]0.194993[/C][/ROW]
[ROW][C]33[/C][C]0.050865[/C][C]0.5212[/C][C]0.301657[/C][/ROW]
[ROW][C]34[/C][C]-0.036832[/C][C]-0.3774[/C][C]0.646685[/C][/ROW]
[ROW][C]35[/C][C]-0.046641[/C][C]-0.4779[/C][C]0.683154[/C][/ROW]
[ROW][C]36[/C][C]0.061717[/C][C]0.6324[/C][C]0.264247[/C][/ROW]
[ROW][C]37[/C][C]-0.085048[/C][C]-0.8715[/C][C]0.80726[/C][/ROW]
[ROW][C]38[/C][C]-0.048508[/C][C]-0.4971[/C][C]0.689907[/C][/ROW]
[ROW][C]39[/C][C]-0.049126[/C][C]-0.5034[/C][C]0.692129[/C][/ROW]
[ROW][C]40[/C][C]-0.016077[/C][C]-0.1647[/C][C]0.565267[/C][/ROW]
[ROW][C]41[/C][C]-0.114065[/C][C]-1.1688[/C][C]0.877437[/C][/ROW]
[ROW][C]42[/C][C]-0.062425[/C][C]-0.6397[/C][C]0.738109[/C][/ROW]
[ROW][C]43[/C][C]-0.056846[/C][C]-0.5825[/C][C]0.71926[/C][/ROW]
[ROW][C]44[/C][C]-0.042342[/C][C]-0.4339[/C][C]0.667366[/C][/ROW]
[ROW][C]45[/C][C]-0.038916[/C][C]-0.3988[/C][C]0.654565[/C][/ROW]
[ROW][C]46[/C][C]0.032565[/C][C]0.3337[/C][C]0.36964[/C][/ROW]
[ROW][C]47[/C][C]-0.029418[/C][C]-0.3014[/C][C]0.618164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7558&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7558&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	-0.322018	-3.2997	0.999339
1	-0.513204	-5.2588	1
2	0.103284	1.0583	0.146164
3	-0.488518	-5.0058	0.999999
4	-0.396146	-4.0593	0.999953
5	0.124107	1.2717	0.103142
6	0.139758	1.4321	0.077543
7	-0.029562	-0.3029	0.618726
8	0.183783	1.8832	0.03122
9	-0.286552	-2.9363	0.997959
10	-0.416162	-4.2644	0.999978
11	0.20517	2.1024	0.018956
12	0.252621	2.5886	0.005501
13	0.055275	0.5664	0.286166
14	-0.078376	-0.8031	0.788137
15	0.021175	0.217	0.414325
16	0.068823	0.7052	0.241117
17	-0.032559	-0.3336	0.630336
18	-0.012029	-0.1233	0.54893
19	-0.078809	-0.8076	0.789414
20	-0.175275	-1.796	0.962318
21	-0.112293	-1.1507	0.873758
22	0.009655	0.0989	0.460691
23	-0.007286	-0.0747	0.529685
24	0.041673	0.427	0.335117
25	0.006089	0.0624	0.475183
26	-0.023257	-0.2383	0.593947
27	0.006057	0.0621	0.475313
28	0.126742	1.2987	0.098443
29	-0.11469	-1.1752	0.878719
30	-0.085212	-0.8732	0.807716
31	-0.138584	-1.4201	0.920725
32	0.084241	0.8632	0.194993
33	0.050865	0.5212	0.301657
34	-0.036832	-0.3774	0.646685
35	-0.046641	-0.4779	0.683154
36	0.061717	0.6324	0.264247
37	-0.085048	-0.8715	0.80726
38	-0.048508	-0.4971	0.689907
39	-0.049126	-0.5034	0.692129
40	-0.016077	-0.1647	0.565267
41	-0.114065	-1.1688	0.877437
42	-0.062425	-0.6397	0.738109
43	-0.056846	-0.5825	0.71926
44	-0.042342	-0.4339	0.667366
45	-0.038916	-0.3988	0.654565
46	0.032565	0.3337	0.36964
47	-0.029418	-0.3014	0.618164

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

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

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

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