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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 16 Jul 2009 03:35:57 -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/Jul/16/t12477370376128lhmvypyxl7j.htm/, Retrieved Sat, 18 May 2024 17:36:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42371, Retrieved Sat, 18 May 2024 17:36:22 +0000

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Estimated Impact

232

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-       [(Partial) Autocorrelation Function] [opgave6_different...] [2009-07-16 09:35:57] [0d1085ed835696cdd537ad5fa07600ec] [Current]

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Dataseries X:

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Histogram

Boxplots

0.88
1.03
0.69
0.71
1.11
1.05
1.03
0.65
0.59
0.77
0.9
1.26
0.96
0.83
0.87
0.79
1.12
0.88
0.64
0.64
0.58
0.5
0.99
1.07
0.89
0.89
0.83
0.86
0.9
1.12
0.88
0.88
0.89
0.82
0.88
0.81
0.88
0.76
1.13
0.85
1.45
1.55
0.71
0.81
0.83
0.73
0.9
0.94
1.78
0.88
1.04
0.83
1.41
0.96
1.3
0.83
1.4
0.91
0.87
0.97
1.19
1.23
1.33
1.17
1.09
0.63
0.89
0.63
1.51
0.97
0.84
0.92
0.95
0.73
1.02
0.79
1.27
0.95
0.75
0.52
0.95
0.82
0.76
1.24
0.94
1.04
1.81
0.95
1.39
0.86
1.15
1.51
0.6
0.72
1.1
1.62
1.84
1.73
1.36
1.07
1
1.49
0.9
1.43
1.54
0.81
1.61
1.3
1.4
1.03
0.79
1.11
1.15
1.03
1.59
1.11
1.33
0.93
1.07
1.14
1.12
0.86
0.82
1.02
1.07
1.31
0.98
0.89
0.8
0.8
0.78
0.97

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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42371&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42371&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42371&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	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.478094	-5.472	0
2	0.102476	1.1729	0.121483
3	-0.12443	-1.4242	0.078388
4	-0.082956	-0.9495	0.172063
5	0.06021	0.6891	0.245979
6	0.03732	0.4272	0.334985
7	-0.091143	-1.0432	0.149393
8	0.210039	2.404	0.008808
9	-0.245355	-2.8082	0.002872
10	0.173739	1.9885	0.024418
11	-0.130342	-1.4918	0.069073
12	0.1718	1.9663	0.025687
13	-0.044009	-0.5037	0.307656
14	-0.084706	-0.9695	0.167041
15	0.041872	0.4792	0.316281
16	0.017305	0.1981	0.421653
17	-0.144717	-1.6564	0.050021
18	0.248578	2.8451	0.002577
19	-0.259091	-2.9654	0.001796
20	0.216892	2.4824	0.007157
21	-0.103943	-1.1897	0.118161
22	-0.016608	-0.1901	0.424766
23	0.059057	0.6759	0.250134
24	-0.006139	-0.0703	0.472043
25	-0.017324	-0.1983	0.421565
26	-0.0428	-0.4899	0.312524
27	-0.067865	-0.7767	0.219355
28	0.185679	2.1252	0.017724
29	-0.097159	-1.112	0.134079
30	0.124956	1.4302	0.077522
31	-0.178281	-2.0405	0.021654
32	0.09723	1.1128	0.133906
33	-0.116677	-1.3354	0.092027
34	0.052734	0.6036	0.273587
35	0.042055	0.4813	0.315539
36	0.016803	0.1923	0.423895
37	-0.04354	-0.4983	0.30954
38	0.057122	0.6538	0.257197
39	-0.083693	-0.9579	0.169937
40	0.150648	1.7242	0.043511
41	-0.194275	-2.2236	0.013945
42	0.048413	0.5541	0.290224
43	0.088233	1.0099	0.15721
44	-0.111179	-1.2725	0.102725
45	0.082071	0.9393	0.174642
46	-0.049223	-0.5634	0.287069
47	0.016605	0.19	0.424783
48	0.077611	0.8883	0.188005

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.478094 & -5.472 & 0 \tabularnewline
2 & 0.102476 & 1.1729 & 0.121483 \tabularnewline
3 & -0.12443 & -1.4242 & 0.078388 \tabularnewline
4 & -0.082956 & -0.9495 & 0.172063 \tabularnewline
5 & 0.06021 & 0.6891 & 0.245979 \tabularnewline
6 & 0.03732 & 0.4272 & 0.334985 \tabularnewline
7 & -0.091143 & -1.0432 & 0.149393 \tabularnewline
8 & 0.210039 & 2.404 & 0.008808 \tabularnewline
9 & -0.245355 & -2.8082 & 0.002872 \tabularnewline
10 & 0.173739 & 1.9885 & 0.024418 \tabularnewline
11 & -0.130342 & -1.4918 & 0.069073 \tabularnewline
12 & 0.1718 & 1.9663 & 0.025687 \tabularnewline
13 & -0.044009 & -0.5037 & 0.307656 \tabularnewline
14 & -0.084706 & -0.9695 & 0.167041 \tabularnewline
15 & 0.041872 & 0.4792 & 0.316281 \tabularnewline
16 & 0.017305 & 0.1981 & 0.421653 \tabularnewline
17 & -0.144717 & -1.6564 & 0.050021 \tabularnewline
18 & 0.248578 & 2.8451 & 0.002577 \tabularnewline
19 & -0.259091 & -2.9654 & 0.001796 \tabularnewline
20 & 0.216892 & 2.4824 & 0.007157 \tabularnewline
21 & -0.103943 & -1.1897 & 0.118161 \tabularnewline
22 & -0.016608 & -0.1901 & 0.424766 \tabularnewline
23 & 0.059057 & 0.6759 & 0.250134 \tabularnewline
24 & -0.006139 & -0.0703 & 0.472043 \tabularnewline
25 & -0.017324 & -0.1983 & 0.421565 \tabularnewline
26 & -0.0428 & -0.4899 & 0.312524 \tabularnewline
27 & -0.067865 & -0.7767 & 0.219355 \tabularnewline
28 & 0.185679 & 2.1252 & 0.017724 \tabularnewline
29 & -0.097159 & -1.112 & 0.134079 \tabularnewline
30 & 0.124956 & 1.4302 & 0.077522 \tabularnewline
31 & -0.178281 & -2.0405 & 0.021654 \tabularnewline
32 & 0.09723 & 1.1128 & 0.133906 \tabularnewline
33 & -0.116677 & -1.3354 & 0.092027 \tabularnewline
34 & 0.052734 & 0.6036 & 0.273587 \tabularnewline
35 & 0.042055 & 0.4813 & 0.315539 \tabularnewline
36 & 0.016803 & 0.1923 & 0.423895 \tabularnewline
37 & -0.04354 & -0.4983 & 0.30954 \tabularnewline
38 & 0.057122 & 0.6538 & 0.257197 \tabularnewline
39 & -0.083693 & -0.9579 & 0.169937 \tabularnewline
40 & 0.150648 & 1.7242 & 0.043511 \tabularnewline
41 & -0.194275 & -2.2236 & 0.013945 \tabularnewline
42 & 0.048413 & 0.5541 & 0.290224 \tabularnewline
43 & 0.088233 & 1.0099 & 0.15721 \tabularnewline
44 & -0.111179 & -1.2725 & 0.102725 \tabularnewline
45 & 0.082071 & 0.9393 & 0.174642 \tabularnewline
46 & -0.049223 & -0.5634 & 0.287069 \tabularnewline
47 & 0.016605 & 0.19 & 0.424783 \tabularnewline
48 & 0.077611 & 0.8883 & 0.188005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42371&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]-0.478094[/C][C]-5.472[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.102476[/C][C]1.1729[/C][C]0.121483[/C][/ROW]
[ROW][C]3[/C][C]-0.12443[/C][C]-1.4242[/C][C]0.078388[/C][/ROW]
[ROW][C]4[/C][C]-0.082956[/C][C]-0.9495[/C][C]0.172063[/C][/ROW]
[ROW][C]5[/C][C]0.06021[/C][C]0.6891[/C][C]0.245979[/C][/ROW]
[ROW][C]6[/C][C]0.03732[/C][C]0.4272[/C][C]0.334985[/C][/ROW]
[ROW][C]7[/C][C]-0.091143[/C][C]-1.0432[/C][C]0.149393[/C][/ROW]
[ROW][C]8[/C][C]0.210039[/C][C]2.404[/C][C]0.008808[/C][/ROW]
[ROW][C]9[/C][C]-0.245355[/C][C]-2.8082[/C][C]0.002872[/C][/ROW]
[ROW][C]10[/C][C]0.173739[/C][C]1.9885[/C][C]0.024418[/C][/ROW]
[ROW][C]11[/C][C]-0.130342[/C][C]-1.4918[/C][C]0.069073[/C][/ROW]
[ROW][C]12[/C][C]0.1718[/C][C]1.9663[/C][C]0.025687[/C][/ROW]
[ROW][C]13[/C][C]-0.044009[/C][C]-0.5037[/C][C]0.307656[/C][/ROW]
[ROW][C]14[/C][C]-0.084706[/C][C]-0.9695[/C][C]0.167041[/C][/ROW]
[ROW][C]15[/C][C]0.041872[/C][C]0.4792[/C][C]0.316281[/C][/ROW]
[ROW][C]16[/C][C]0.017305[/C][C]0.1981[/C][C]0.421653[/C][/ROW]
[ROW][C]17[/C][C]-0.144717[/C][C]-1.6564[/C][C]0.050021[/C][/ROW]
[ROW][C]18[/C][C]0.248578[/C][C]2.8451[/C][C]0.002577[/C][/ROW]
[ROW][C]19[/C][C]-0.259091[/C][C]-2.9654[/C][C]0.001796[/C][/ROW]
[ROW][C]20[/C][C]0.216892[/C][C]2.4824[/C][C]0.007157[/C][/ROW]
[ROW][C]21[/C][C]-0.103943[/C][C]-1.1897[/C][C]0.118161[/C][/ROW]
[ROW][C]22[/C][C]-0.016608[/C][C]-0.1901[/C][C]0.424766[/C][/ROW]
[ROW][C]23[/C][C]0.059057[/C][C]0.6759[/C][C]0.250134[/C][/ROW]
[ROW][C]24[/C][C]-0.006139[/C][C]-0.0703[/C][C]0.472043[/C][/ROW]
[ROW][C]25[/C][C]-0.017324[/C][C]-0.1983[/C][C]0.421565[/C][/ROW]
[ROW][C]26[/C][C]-0.0428[/C][C]-0.4899[/C][C]0.312524[/C][/ROW]
[ROW][C]27[/C][C]-0.067865[/C][C]-0.7767[/C][C]0.219355[/C][/ROW]
[ROW][C]28[/C][C]0.185679[/C][C]2.1252[/C][C]0.017724[/C][/ROW]
[ROW][C]29[/C][C]-0.097159[/C][C]-1.112[/C][C]0.134079[/C][/ROW]
[ROW][C]30[/C][C]0.124956[/C][C]1.4302[/C][C]0.077522[/C][/ROW]
[ROW][C]31[/C][C]-0.178281[/C][C]-2.0405[/C][C]0.021654[/C][/ROW]
[ROW][C]32[/C][C]0.09723[/C][C]1.1128[/C][C]0.133906[/C][/ROW]
[ROW][C]33[/C][C]-0.116677[/C][C]-1.3354[/C][C]0.092027[/C][/ROW]
[ROW][C]34[/C][C]0.052734[/C][C]0.6036[/C][C]0.273587[/C][/ROW]
[ROW][C]35[/C][C]0.042055[/C][C]0.4813[/C][C]0.315539[/C][/ROW]
[ROW][C]36[/C][C]0.016803[/C][C]0.1923[/C][C]0.423895[/C][/ROW]
[ROW][C]37[/C][C]-0.04354[/C][C]-0.4983[/C][C]0.30954[/C][/ROW]
[ROW][C]38[/C][C]0.057122[/C][C]0.6538[/C][C]0.257197[/C][/ROW]
[ROW][C]39[/C][C]-0.083693[/C][C]-0.9579[/C][C]0.169937[/C][/ROW]
[ROW][C]40[/C][C]0.150648[/C][C]1.7242[/C][C]0.043511[/C][/ROW]
[ROW][C]41[/C][C]-0.194275[/C][C]-2.2236[/C][C]0.013945[/C][/ROW]
[ROW][C]42[/C][C]0.048413[/C][C]0.5541[/C][C]0.290224[/C][/ROW]
[ROW][C]43[/C][C]0.088233[/C][C]1.0099[/C][C]0.15721[/C][/ROW]
[ROW][C]44[/C][C]-0.111179[/C][C]-1.2725[/C][C]0.102725[/C][/ROW]
[ROW][C]45[/C][C]0.082071[/C][C]0.9393[/C][C]0.174642[/C][/ROW]
[ROW][C]46[/C][C]-0.049223[/C][C]-0.5634[/C][C]0.287069[/C][/ROW]
[ROW][C]47[/C][C]0.016605[/C][C]0.19[/C][C]0.424783[/C][/ROW]
[ROW][C]48[/C][C]0.077611[/C][C]0.8883[/C][C]0.188005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42371&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42371&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	-0.478094	-5.472	0
2	0.102476	1.1729	0.121483
3	-0.12443	-1.4242	0.078388
4	-0.082956	-0.9495	0.172063
5	0.06021	0.6891	0.245979
6	0.03732	0.4272	0.334985
7	-0.091143	-1.0432	0.149393
8	0.210039	2.404	0.008808
9	-0.245355	-2.8082	0.002872
10	0.173739	1.9885	0.024418
11	-0.130342	-1.4918	0.069073
12	0.1718	1.9663	0.025687
13	-0.044009	-0.5037	0.307656
14	-0.084706	-0.9695	0.167041
15	0.041872	0.4792	0.316281
16	0.017305	0.1981	0.421653
17	-0.144717	-1.6564	0.050021
18	0.248578	2.8451	0.002577
19	-0.259091	-2.9654	0.001796
20	0.216892	2.4824	0.007157
21	-0.103943	-1.1897	0.118161
22	-0.016608	-0.1901	0.424766
23	0.059057	0.6759	0.250134
24	-0.006139	-0.0703	0.472043
25	-0.017324	-0.1983	0.421565
26	-0.0428	-0.4899	0.312524
27	-0.067865	-0.7767	0.219355
28	0.185679	2.1252	0.017724
29	-0.097159	-1.112	0.134079
30	0.124956	1.4302	0.077522
31	-0.178281	-2.0405	0.021654
32	0.09723	1.1128	0.133906
33	-0.116677	-1.3354	0.092027
34	0.052734	0.6036	0.273587
35	0.042055	0.4813	0.315539
36	0.016803	0.1923	0.423895
37	-0.04354	-0.4983	0.30954
38	0.057122	0.6538	0.257197
39	-0.083693	-0.9579	0.169937
40	0.150648	1.7242	0.043511
41	-0.194275	-2.2236	0.013945
42	0.048413	0.5541	0.290224
43	0.088233	1.0099	0.15721
44	-0.111179	-1.2725	0.102725
45	0.082071	0.9393	0.174642
46	-0.049223	-0.5634	0.287069
47	0.016605	0.19	0.424783
48	0.077611	0.8883	0.188005

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.478094	-5.472	0
2	-0.163461	-1.8709	0.031795
3	-0.193893	-2.2192	0.014097
4	-0.305859	-3.5007	0.000317
5	-0.22214	-2.5425	0.006085
6	-0.116142	-1.3293	0.093028
7	-0.264418	-3.0264	0.00149
8	-0.003068	-0.0351	0.48602
9	-0.214301	-2.4528	0.007745
10	-0.105654	-1.2093	0.11437
11	-0.180023	-2.0605	0.020667
12	0.049095	0.5619	0.287567
13	0.084533	0.9675	0.167532
14	-0.040525	-0.4638	0.321769
15	0.062097	0.7107	0.239256
16	0.133454	1.5274	0.06453
17	-0.061131	-0.6997	0.242683
18	0.149099	1.7065	0.045141
19	-0.036865	-0.4219	0.336881
20	0.024542	0.2809	0.389615
21	0.031372	0.3591	0.360062
22	-0.041177	-0.4713	0.319108
23	-0.033554	-0.384	0.350783
24	-0.003309	-0.0379	0.484923
25	0.018081	0.2069	0.418186
26	-0.180384	-2.0646	0.020468
27	-0.192741	-2.206	0.014563
28	-0.074676	-0.8547	0.197137
29	-0.03021	-0.3458	0.365035
30	0.042146	0.4824	0.315171
31	-0.1022	-1.1697	0.122117
32	0.064028	0.7328	0.232485
33	-0.125749	-1.4393	0.076231
34	-0.079673	-0.9119	0.181749
35	0.005689	0.0651	0.474091
36	-0.121089	-1.3859	0.084062
37	-0.037837	-0.4331	0.332839
38	-0.013457	-0.154	0.438914
39	0.022791	0.2609	0.397308
40	0.123348	1.4118	0.080193
41	-0.053331	-0.6104	0.271329
42	-0.12146	-1.3902	0.083417
43	0.098739	1.1301	0.130246
44	-0.050451	-0.5774	0.282319
45	-0.01998	-0.2287	0.409737
46	-0.057198	-0.6547	0.256916
47	-0.022709	-0.2599	0.397669
48	-0.032358	-0.3703	0.35586

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.478094 & -5.472 & 0 \tabularnewline
2 & -0.163461 & -1.8709 & 0.031795 \tabularnewline
3 & -0.193893 & -2.2192 & 0.014097 \tabularnewline
4 & -0.305859 & -3.5007 & 0.000317 \tabularnewline
5 & -0.22214 & -2.5425 & 0.006085 \tabularnewline
6 & -0.116142 & -1.3293 & 0.093028 \tabularnewline
7 & -0.264418 & -3.0264 & 0.00149 \tabularnewline
8 & -0.003068 & -0.0351 & 0.48602 \tabularnewline
9 & -0.214301 & -2.4528 & 0.007745 \tabularnewline
10 & -0.105654 & -1.2093 & 0.11437 \tabularnewline
11 & -0.180023 & -2.0605 & 0.020667 \tabularnewline
12 & 0.049095 & 0.5619 & 0.287567 \tabularnewline
13 & 0.084533 & 0.9675 & 0.167532 \tabularnewline
14 & -0.040525 & -0.4638 & 0.321769 \tabularnewline
15 & 0.062097 & 0.7107 & 0.239256 \tabularnewline
16 & 0.133454 & 1.5274 & 0.06453 \tabularnewline
17 & -0.061131 & -0.6997 & 0.242683 \tabularnewline
18 & 0.149099 & 1.7065 & 0.045141 \tabularnewline
19 & -0.036865 & -0.4219 & 0.336881 \tabularnewline
20 & 0.024542 & 0.2809 & 0.389615 \tabularnewline
21 & 0.031372 & 0.3591 & 0.360062 \tabularnewline
22 & -0.041177 & -0.4713 & 0.319108 \tabularnewline
23 & -0.033554 & -0.384 & 0.350783 \tabularnewline
24 & -0.003309 & -0.0379 & 0.484923 \tabularnewline
25 & 0.018081 & 0.2069 & 0.418186 \tabularnewline
26 & -0.180384 & -2.0646 & 0.020468 \tabularnewline
27 & -0.192741 & -2.206 & 0.014563 \tabularnewline
28 & -0.074676 & -0.8547 & 0.197137 \tabularnewline
29 & -0.03021 & -0.3458 & 0.365035 \tabularnewline
30 & 0.042146 & 0.4824 & 0.315171 \tabularnewline
31 & -0.1022 & -1.1697 & 0.122117 \tabularnewline
32 & 0.064028 & 0.7328 & 0.232485 \tabularnewline
33 & -0.125749 & -1.4393 & 0.076231 \tabularnewline
34 & -0.079673 & -0.9119 & 0.181749 \tabularnewline
35 & 0.005689 & 0.0651 & 0.474091 \tabularnewline
36 & -0.121089 & -1.3859 & 0.084062 \tabularnewline
37 & -0.037837 & -0.4331 & 0.332839 \tabularnewline
38 & -0.013457 & -0.154 & 0.438914 \tabularnewline
39 & 0.022791 & 0.2609 & 0.397308 \tabularnewline
40 & 0.123348 & 1.4118 & 0.080193 \tabularnewline
41 & -0.053331 & -0.6104 & 0.271329 \tabularnewline
42 & -0.12146 & -1.3902 & 0.083417 \tabularnewline
43 & 0.098739 & 1.1301 & 0.130246 \tabularnewline
44 & -0.050451 & -0.5774 & 0.282319 \tabularnewline
45 & -0.01998 & -0.2287 & 0.409737 \tabularnewline
46 & -0.057198 & -0.6547 & 0.256916 \tabularnewline
47 & -0.022709 & -0.2599 & 0.397669 \tabularnewline
48 & -0.032358 & -0.3703 & 0.35586 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42371&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]-0.478094[/C][C]-5.472[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.163461[/C][C]-1.8709[/C][C]0.031795[/C][/ROW]
[ROW][C]3[/C][C]-0.193893[/C][C]-2.2192[/C][C]0.014097[/C][/ROW]
[ROW][C]4[/C][C]-0.305859[/C][C]-3.5007[/C][C]0.000317[/C][/ROW]
[ROW][C]5[/C][C]-0.22214[/C][C]-2.5425[/C][C]0.006085[/C][/ROW]
[ROW][C]6[/C][C]-0.116142[/C][C]-1.3293[/C][C]0.093028[/C][/ROW]
[ROW][C]7[/C][C]-0.264418[/C][C]-3.0264[/C][C]0.00149[/C][/ROW]
[ROW][C]8[/C][C]-0.003068[/C][C]-0.0351[/C][C]0.48602[/C][/ROW]
[ROW][C]9[/C][C]-0.214301[/C][C]-2.4528[/C][C]0.007745[/C][/ROW]
[ROW][C]10[/C][C]-0.105654[/C][C]-1.2093[/C][C]0.11437[/C][/ROW]
[ROW][C]11[/C][C]-0.180023[/C][C]-2.0605[/C][C]0.020667[/C][/ROW]
[ROW][C]12[/C][C]0.049095[/C][C]0.5619[/C][C]0.287567[/C][/ROW]
[ROW][C]13[/C][C]0.084533[/C][C]0.9675[/C][C]0.167532[/C][/ROW]
[ROW][C]14[/C][C]-0.040525[/C][C]-0.4638[/C][C]0.321769[/C][/ROW]
[ROW][C]15[/C][C]0.062097[/C][C]0.7107[/C][C]0.239256[/C][/ROW]
[ROW][C]16[/C][C]0.133454[/C][C]1.5274[/C][C]0.06453[/C][/ROW]
[ROW][C]17[/C][C]-0.061131[/C][C]-0.6997[/C][C]0.242683[/C][/ROW]
[ROW][C]18[/C][C]0.149099[/C][C]1.7065[/C][C]0.045141[/C][/ROW]
[ROW][C]19[/C][C]-0.036865[/C][C]-0.4219[/C][C]0.336881[/C][/ROW]
[ROW][C]20[/C][C]0.024542[/C][C]0.2809[/C][C]0.389615[/C][/ROW]
[ROW][C]21[/C][C]0.031372[/C][C]0.3591[/C][C]0.360062[/C][/ROW]
[ROW][C]22[/C][C]-0.041177[/C][C]-0.4713[/C][C]0.319108[/C][/ROW]
[ROW][C]23[/C][C]-0.033554[/C][C]-0.384[/C][C]0.350783[/C][/ROW]
[ROW][C]24[/C][C]-0.003309[/C][C]-0.0379[/C][C]0.484923[/C][/ROW]
[ROW][C]25[/C][C]0.018081[/C][C]0.2069[/C][C]0.418186[/C][/ROW]
[ROW][C]26[/C][C]-0.180384[/C][C]-2.0646[/C][C]0.020468[/C][/ROW]
[ROW][C]27[/C][C]-0.192741[/C][C]-2.206[/C][C]0.014563[/C][/ROW]
[ROW][C]28[/C][C]-0.074676[/C][C]-0.8547[/C][C]0.197137[/C][/ROW]
[ROW][C]29[/C][C]-0.03021[/C][C]-0.3458[/C][C]0.365035[/C][/ROW]
[ROW][C]30[/C][C]0.042146[/C][C]0.4824[/C][C]0.315171[/C][/ROW]
[ROW][C]31[/C][C]-0.1022[/C][C]-1.1697[/C][C]0.122117[/C][/ROW]
[ROW][C]32[/C][C]0.064028[/C][C]0.7328[/C][C]0.232485[/C][/ROW]
[ROW][C]33[/C][C]-0.125749[/C][C]-1.4393[/C][C]0.076231[/C][/ROW]
[ROW][C]34[/C][C]-0.079673[/C][C]-0.9119[/C][C]0.181749[/C][/ROW]
[ROW][C]35[/C][C]0.005689[/C][C]0.0651[/C][C]0.474091[/C][/ROW]
[ROW][C]36[/C][C]-0.121089[/C][C]-1.3859[/C][C]0.084062[/C][/ROW]
[ROW][C]37[/C][C]-0.037837[/C][C]-0.4331[/C][C]0.332839[/C][/ROW]
[ROW][C]38[/C][C]-0.013457[/C][C]-0.154[/C][C]0.438914[/C][/ROW]
[ROW][C]39[/C][C]0.022791[/C][C]0.2609[/C][C]0.397308[/C][/ROW]
[ROW][C]40[/C][C]0.123348[/C][C]1.4118[/C][C]0.080193[/C][/ROW]
[ROW][C]41[/C][C]-0.053331[/C][C]-0.6104[/C][C]0.271329[/C][/ROW]
[ROW][C]42[/C][C]-0.12146[/C][C]-1.3902[/C][C]0.083417[/C][/ROW]
[ROW][C]43[/C][C]0.098739[/C][C]1.1301[/C][C]0.130246[/C][/ROW]
[ROW][C]44[/C][C]-0.050451[/C][C]-0.5774[/C][C]0.282319[/C][/ROW]
[ROW][C]45[/C][C]-0.01998[/C][C]-0.2287[/C][C]0.409737[/C][/ROW]
[ROW][C]46[/C][C]-0.057198[/C][C]-0.6547[/C][C]0.256916[/C][/ROW]
[ROW][C]47[/C][C]-0.022709[/C][C]-0.2599[/C][C]0.397669[/C][/ROW]
[ROW][C]48[/C][C]-0.032358[/C][C]-0.3703[/C][C]0.35586[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42371&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42371&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	-0.478094	-5.472	0
2	-0.163461	-1.8709	0.031795
3	-0.193893	-2.2192	0.014097
4	-0.305859	-3.5007	0.000317
5	-0.22214	-2.5425	0.006085
6	-0.116142	-1.3293	0.093028
7	-0.264418	-3.0264	0.00149
8	-0.003068	-0.0351	0.48602
9	-0.214301	-2.4528	0.007745
10	-0.105654	-1.2093	0.11437
11	-0.180023	-2.0605	0.020667
12	0.049095	0.5619	0.287567
13	0.084533	0.9675	0.167532
14	-0.040525	-0.4638	0.321769
15	0.062097	0.7107	0.239256
16	0.133454	1.5274	0.06453
17	-0.061131	-0.6997	0.242683
18	0.149099	1.7065	0.045141
19	-0.036865	-0.4219	0.336881
20	0.024542	0.2809	0.389615
21	0.031372	0.3591	0.360062
22	-0.041177	-0.4713	0.319108
23	-0.033554	-0.384	0.350783
24	-0.003309	-0.0379	0.484923
25	0.018081	0.2069	0.418186
26	-0.180384	-2.0646	0.020468
27	-0.192741	-2.206	0.014563
28	-0.074676	-0.8547	0.197137
29	-0.03021	-0.3458	0.365035
30	0.042146	0.4824	0.315171
31	-0.1022	-1.1697	0.122117
32	0.064028	0.7328	0.232485
33	-0.125749	-1.4393	0.076231
34	-0.079673	-0.9119	0.181749
35	0.005689	0.0651	0.474091
36	-0.121089	-1.3859	0.084062
37	-0.037837	-0.4331	0.332839
38	-0.013457	-0.154	0.438914
39	0.022791	0.2609	0.397308
40	0.123348	1.4118	0.080193
41	-0.053331	-0.6104	0.271329
42	-0.12146	-1.3902	0.083417
43	0.098739	1.1301	0.130246
44	-0.050451	-0.5774	0.282319
45	-0.01998	-0.2287	0.409737
46	-0.057198	-0.6547	0.256916
47	-0.022709	-0.2599	0.397669
48	-0.032358	-0.3703	0.35586

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 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