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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 07 Dec 2008 08:41:18 -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/2008/Dec/07/t1228664526kgn3nfdzt3fcoga.htm/, Retrieved Sun, 19 May 2024 12:04:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30107, Retrieved Sun, 19 May 2024 12:04:25 +0000

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User-defined keywords

Estimated Impact

161

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Notched Boxplots] [opgave 6bis - oef...] [2008-12-07 15:32:20] [4dd6bc607e14a1b292f1f810859a6a1e]
- RMPD    [(Partial) Autocorrelation Function] [opgave 6bis -oef ...] [2008-12-07 15:41:18] [b8bddf73d0e220cda020e0a16b382ac5] [Current]

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Dataseries X:

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Histogram

Boxplots

2,13
1,87
2,23
3
2,12
1,6
1,17
1,02
1,22
1,8
2,13
2,21
2,38
1,99
1,82
2,47
1,94
1,39
1,11
0,97
1,38
2,39
1,88
2,11
2,11
2,17
2,54
3,13
2,25
1,39
1,36
1,33
1,6
1,95
2,23
2,53
2,36
1,95
2,16
2,76
2,09
1,49
1,17
1,3
1,26
2,17
2,03
2,18
2,61
2,58
3,86
3,81
2,41
1,47
1,33
1,38
1,57
2,6
2,18
2,36
2,24
2,41
2,51
2,98
1,87
1,9
1,47
1,45
2,71
2,9
2,11
2,18
2,24
2,05
2,42
2,77
1,99
1,47
1,09
0,93
1,32
2,03
2,04
2,78
2,8
3,03
3,11
2,75
2,78
1,76
1,29
1,28
1,43
1,71
1,89
1,84

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=30107&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=30107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30107&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	0.658537	6.4523	0
2	0.234973	2.3023	0.011741
3	-0.086939	-0.8518	0.198216
4	-0.316433	-3.1004	0.001268
5	-0.346434	-3.3943	0.000501
6	-0.282608	-2.769	0.003375
7	-0.351956	-3.4484	0.000419
8	-0.336184	-3.2939	0.000692
9	-0.16104	-1.5779	0.058943
10	0.070295	0.6887	0.246321
11	0.3961	3.881	9.5e-05
12	0.577202	5.6554	0
13	0.385916	3.7812	0.000136
14	0.123121	1.2063	0.115327
15	-0.055657	-0.5453	0.293397
16	-0.191536	-1.8767	0.031801
17	-0.175539	-1.7199	0.044334
18	-0.103452	-1.0136	0.156657
19	-0.234249	-2.2952	0.01195
20	-0.238192	-2.3338	0.010846
21	-0.143346	-1.4045	0.081699
22	0.077792	0.7622	0.223904
23	0.374247	3.6669	0.000201
24	0.517024	5.0658	1e-06
25	0.327566	3.2095	0.000904
26	0.059816	0.5861	0.279599
27	-0.134278	-1.3156	0.095713
28	-0.269785	-2.6433	0.004794
29	-0.260913	-2.5564	0.006072
30	-0.242338	-2.3744	0.009783
31	-0.295739	-2.8976	0.002329
32	-0.247332	-2.4234	0.008626
33	-0.062167	-0.6091	0.271945
34	0.141031	1.3818	0.085117
35	0.374011	3.6645	0.000203
36	0.470164	4.6066	6e-06
37	0.299531	2.9348	0.002088
38	0.102424	1.0035	0.15906
39	-0.096678	-0.9472	0.172946
40	-0.202495	-1.984	0.025053
41	-0.234843	-2.301	0.011778
42	-0.243248	-2.3833	0.009563
43	-0.322734	-3.1621	0.001048
44	-0.284806	-2.7905	0.003174
45	-0.130071	-1.2744	0.102794
46	0.048307	0.4733	0.318532
47	0.261428	2.5615	0.00599
48	0.322527	3.1601	0.001055

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.658537 & 6.4523 & 0 \tabularnewline
2 & 0.234973 & 2.3023 & 0.011741 \tabularnewline
3 & -0.086939 & -0.8518 & 0.198216 \tabularnewline
4 & -0.316433 & -3.1004 & 0.001268 \tabularnewline
5 & -0.346434 & -3.3943 & 0.000501 \tabularnewline
6 & -0.282608 & -2.769 & 0.003375 \tabularnewline
7 & -0.351956 & -3.4484 & 0.000419 \tabularnewline
8 & -0.336184 & -3.2939 & 0.000692 \tabularnewline
9 & -0.16104 & -1.5779 & 0.058943 \tabularnewline
10 & 0.070295 & 0.6887 & 0.246321 \tabularnewline
11 & 0.3961 & 3.881 & 9.5e-05 \tabularnewline
12 & 0.577202 & 5.6554 & 0 \tabularnewline
13 & 0.385916 & 3.7812 & 0.000136 \tabularnewline
14 & 0.123121 & 1.2063 & 0.115327 \tabularnewline
15 & -0.055657 & -0.5453 & 0.293397 \tabularnewline
16 & -0.191536 & -1.8767 & 0.031801 \tabularnewline
17 & -0.175539 & -1.7199 & 0.044334 \tabularnewline
18 & -0.103452 & -1.0136 & 0.156657 \tabularnewline
19 & -0.234249 & -2.2952 & 0.01195 \tabularnewline
20 & -0.238192 & -2.3338 & 0.010846 \tabularnewline
21 & -0.143346 & -1.4045 & 0.081699 \tabularnewline
22 & 0.077792 & 0.7622 & 0.223904 \tabularnewline
23 & 0.374247 & 3.6669 & 0.000201 \tabularnewline
24 & 0.517024 & 5.0658 & 1e-06 \tabularnewline
25 & 0.327566 & 3.2095 & 0.000904 \tabularnewline
26 & 0.059816 & 0.5861 & 0.279599 \tabularnewline
27 & -0.134278 & -1.3156 & 0.095713 \tabularnewline
28 & -0.269785 & -2.6433 & 0.004794 \tabularnewline
29 & -0.260913 & -2.5564 & 0.006072 \tabularnewline
30 & -0.242338 & -2.3744 & 0.009783 \tabularnewline
31 & -0.295739 & -2.8976 & 0.002329 \tabularnewline
32 & -0.247332 & -2.4234 & 0.008626 \tabularnewline
33 & -0.062167 & -0.6091 & 0.271945 \tabularnewline
34 & 0.141031 & 1.3818 & 0.085117 \tabularnewline
35 & 0.374011 & 3.6645 & 0.000203 \tabularnewline
36 & 0.470164 & 4.6066 & 6e-06 \tabularnewline
37 & 0.299531 & 2.9348 & 0.002088 \tabularnewline
38 & 0.102424 & 1.0035 & 0.15906 \tabularnewline
39 & -0.096678 & -0.9472 & 0.172946 \tabularnewline
40 & -0.202495 & -1.984 & 0.025053 \tabularnewline
41 & -0.234843 & -2.301 & 0.011778 \tabularnewline
42 & -0.243248 & -2.3833 & 0.009563 \tabularnewline
43 & -0.322734 & -3.1621 & 0.001048 \tabularnewline
44 & -0.284806 & -2.7905 & 0.003174 \tabularnewline
45 & -0.130071 & -1.2744 & 0.102794 \tabularnewline
46 & 0.048307 & 0.4733 & 0.318532 \tabularnewline
47 & 0.261428 & 2.5615 & 0.00599 \tabularnewline
48 & 0.322527 & 3.1601 & 0.001055 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30107&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]0.658537[/C][C]6.4523[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.234973[/C][C]2.3023[/C][C]0.011741[/C][/ROW]
[ROW][C]3[/C][C]-0.086939[/C][C]-0.8518[/C][C]0.198216[/C][/ROW]
[ROW][C]4[/C][C]-0.316433[/C][C]-3.1004[/C][C]0.001268[/C][/ROW]
[ROW][C]5[/C][C]-0.346434[/C][C]-3.3943[/C][C]0.000501[/C][/ROW]
[ROW][C]6[/C][C]-0.282608[/C][C]-2.769[/C][C]0.003375[/C][/ROW]
[ROW][C]7[/C][C]-0.351956[/C][C]-3.4484[/C][C]0.000419[/C][/ROW]
[ROW][C]8[/C][C]-0.336184[/C][C]-3.2939[/C][C]0.000692[/C][/ROW]
[ROW][C]9[/C][C]-0.16104[/C][C]-1.5779[/C][C]0.058943[/C][/ROW]
[ROW][C]10[/C][C]0.070295[/C][C]0.6887[/C][C]0.246321[/C][/ROW]
[ROW][C]11[/C][C]0.3961[/C][C]3.881[/C][C]9.5e-05[/C][/ROW]
[ROW][C]12[/C][C]0.577202[/C][C]5.6554[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.385916[/C][C]3.7812[/C][C]0.000136[/C][/ROW]
[ROW][C]14[/C][C]0.123121[/C][C]1.2063[/C][C]0.115327[/C][/ROW]
[ROW][C]15[/C][C]-0.055657[/C][C]-0.5453[/C][C]0.293397[/C][/ROW]
[ROW][C]16[/C][C]-0.191536[/C][C]-1.8767[/C][C]0.031801[/C][/ROW]
[ROW][C]17[/C][C]-0.175539[/C][C]-1.7199[/C][C]0.044334[/C][/ROW]
[ROW][C]18[/C][C]-0.103452[/C][C]-1.0136[/C][C]0.156657[/C][/ROW]
[ROW][C]19[/C][C]-0.234249[/C][C]-2.2952[/C][C]0.01195[/C][/ROW]
[ROW][C]20[/C][C]-0.238192[/C][C]-2.3338[/C][C]0.010846[/C][/ROW]
[ROW][C]21[/C][C]-0.143346[/C][C]-1.4045[/C][C]0.081699[/C][/ROW]
[ROW][C]22[/C][C]0.077792[/C][C]0.7622[/C][C]0.223904[/C][/ROW]
[ROW][C]23[/C][C]0.374247[/C][C]3.6669[/C][C]0.000201[/C][/ROW]
[ROW][C]24[/C][C]0.517024[/C][C]5.0658[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]0.327566[/C][C]3.2095[/C][C]0.000904[/C][/ROW]
[ROW][C]26[/C][C]0.059816[/C][C]0.5861[/C][C]0.279599[/C][/ROW]
[ROW][C]27[/C][C]-0.134278[/C][C]-1.3156[/C][C]0.095713[/C][/ROW]
[ROW][C]28[/C][C]-0.269785[/C][C]-2.6433[/C][C]0.004794[/C][/ROW]
[ROW][C]29[/C][C]-0.260913[/C][C]-2.5564[/C][C]0.006072[/C][/ROW]
[ROW][C]30[/C][C]-0.242338[/C][C]-2.3744[/C][C]0.009783[/C][/ROW]
[ROW][C]31[/C][C]-0.295739[/C][C]-2.8976[/C][C]0.002329[/C][/ROW]
[ROW][C]32[/C][C]-0.247332[/C][C]-2.4234[/C][C]0.008626[/C][/ROW]
[ROW][C]33[/C][C]-0.062167[/C][C]-0.6091[/C][C]0.271945[/C][/ROW]
[ROW][C]34[/C][C]0.141031[/C][C]1.3818[/C][C]0.085117[/C][/ROW]
[ROW][C]35[/C][C]0.374011[/C][C]3.6645[/C][C]0.000203[/C][/ROW]
[ROW][C]36[/C][C]0.470164[/C][C]4.6066[/C][C]6e-06[/C][/ROW]
[ROW][C]37[/C][C]0.299531[/C][C]2.9348[/C][C]0.002088[/C][/ROW]
[ROW][C]38[/C][C]0.102424[/C][C]1.0035[/C][C]0.15906[/C][/ROW]
[ROW][C]39[/C][C]-0.096678[/C][C]-0.9472[/C][C]0.172946[/C][/ROW]
[ROW][C]40[/C][C]-0.202495[/C][C]-1.984[/C][C]0.025053[/C][/ROW]
[ROW][C]41[/C][C]-0.234843[/C][C]-2.301[/C][C]0.011778[/C][/ROW]
[ROW][C]42[/C][C]-0.243248[/C][C]-2.3833[/C][C]0.009563[/C][/ROW]
[ROW][C]43[/C][C]-0.322734[/C][C]-3.1621[/C][C]0.001048[/C][/ROW]
[ROW][C]44[/C][C]-0.284806[/C][C]-2.7905[/C][C]0.003174[/C][/ROW]
[ROW][C]45[/C][C]-0.130071[/C][C]-1.2744[/C][C]0.102794[/C][/ROW]
[ROW][C]46[/C][C]0.048307[/C][C]0.4733[/C][C]0.318532[/C][/ROW]
[ROW][C]47[/C][C]0.261428[/C][C]2.5615[/C][C]0.00599[/C][/ROW]
[ROW][C]48[/C][C]0.322527[/C][C]3.1601[/C][C]0.001055[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30107&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	0.658537	6.4523	0
2	0.234973	2.3023	0.011741
3	-0.086939	-0.8518	0.198216
4	-0.316433	-3.1004	0.001268
5	-0.346434	-3.3943	0.000501
6	-0.282608	-2.769	0.003375
7	-0.351956	-3.4484	0.000419
8	-0.336184	-3.2939	0.000692
9	-0.16104	-1.5779	0.058943
10	0.070295	0.6887	0.246321
11	0.3961	3.881	9.5e-05
12	0.577202	5.6554	0
13	0.385916	3.7812	0.000136
14	0.123121	1.2063	0.115327
15	-0.055657	-0.5453	0.293397
16	-0.191536	-1.8767	0.031801
17	-0.175539	-1.7199	0.044334
18	-0.103452	-1.0136	0.156657
19	-0.234249	-2.2952	0.01195
20	-0.238192	-2.3338	0.010846
21	-0.143346	-1.4045	0.081699
22	0.077792	0.7622	0.223904
23	0.374247	3.6669	0.000201
24	0.517024	5.0658	1e-06
25	0.327566	3.2095	0.000904
26	0.059816	0.5861	0.279599
27	-0.134278	-1.3156	0.095713
28	-0.269785	-2.6433	0.004794
29	-0.260913	-2.5564	0.006072
30	-0.242338	-2.3744	0.009783
31	-0.295739	-2.8976	0.002329
32	-0.247332	-2.4234	0.008626
33	-0.062167	-0.6091	0.271945
34	0.141031	1.3818	0.085117
35	0.374011	3.6645	0.000203
36	0.470164	4.6066	6e-06
37	0.299531	2.9348	0.002088
38	0.102424	1.0035	0.15906
39	-0.096678	-0.9472	0.172946
40	-0.202495	-1.984	0.025053
41	-0.234843	-2.301	0.011778
42	-0.243248	-2.3833	0.009563
43	-0.322734	-3.1621	0.001048
44	-0.284806	-2.7905	0.003174
45	-0.130071	-1.2744	0.102794
46	0.048307	0.4733	0.318532
47	0.261428	2.5615	0.00599
48	0.322527	3.1601	0.001055

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.658537	6.4523	0
2	-0.350853	-3.4376	0.000435
3	-0.130721	-1.2808	0.101675
4	-0.208715	-2.045	0.021797
5	0.030094	0.2949	0.384368
6	-0.103021	-1.0094	0.157661
7	-0.409008	-4.0074	6.1e-05
8	-0.034417	-0.3372	0.368346
9	0.096839	0.9488	0.172547
10	0.092621	0.9075	0.183208
11	0.285259	2.795	0.003134
12	0.057503	0.5634	0.287232
13	-0.244381	-2.3944	0.009294
14	0.007112	0.0697	0.472296
15	0.101986	0.9993	0.160092
16	-0.015991	-0.1567	0.437912
17	0.031776	0.3113	0.378109
18	0.113308	1.1102	0.134847
19	-0.226968	-2.2238	0.014252
20	0.165111	1.6178	0.054499
21	-0.073837	-0.7235	0.23558
22	0.276787	2.712	0.003963
23	0.087332	0.8557	0.197154
24	0.041338	0.405	0.343181
25	-0.072874	-0.714	0.238474
26	-0.116937	-1.1457	0.127376
27	0.053309	0.5223	0.301327
28	-0.09703	-0.9507	0.172074
29	-0.099653	-0.9764	0.16566
30	-0.094105	-0.922	0.17941
31	0.044487	0.4359	0.331951
32	0.042901	0.4203	0.337586
33	0.061346	0.6011	0.274607
34	-0.127319	-1.2475	0.10763
35	-0.033988	-0.333	0.369926
36	0.041503	0.4066	0.342586
37	0.051117	0.5008	0.308814
38	-0.010986	-0.1076	0.457255
39	-0.089152	-0.8735	0.192284
40	0.006928	0.0679	0.473012
41	-0.089083	-0.8728	0.192468
42	-0.005827	-0.0571	0.477296
43	-0.09618	-0.9424	0.174184
44	0.044749	0.4384	0.331023
45	-0.049703	-0.487	0.313688
46	-0.085888	-0.8415	0.201071
47	-0.04237	-0.4151	0.339482
48	-0.120579	-1.1814	0.120176

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.658537 & 6.4523 & 0 \tabularnewline
2 & -0.350853 & -3.4376 & 0.000435 \tabularnewline
3 & -0.130721 & -1.2808 & 0.101675 \tabularnewline
4 & -0.208715 & -2.045 & 0.021797 \tabularnewline
5 & 0.030094 & 0.2949 & 0.384368 \tabularnewline
6 & -0.103021 & -1.0094 & 0.157661 \tabularnewline
7 & -0.409008 & -4.0074 & 6.1e-05 \tabularnewline
8 & -0.034417 & -0.3372 & 0.368346 \tabularnewline
9 & 0.096839 & 0.9488 & 0.172547 \tabularnewline
10 & 0.092621 & 0.9075 & 0.183208 \tabularnewline
11 & 0.285259 & 2.795 & 0.003134 \tabularnewline
12 & 0.057503 & 0.5634 & 0.287232 \tabularnewline
13 & -0.244381 & -2.3944 & 0.009294 \tabularnewline
14 & 0.007112 & 0.0697 & 0.472296 \tabularnewline
15 & 0.101986 & 0.9993 & 0.160092 \tabularnewline
16 & -0.015991 & -0.1567 & 0.437912 \tabularnewline
17 & 0.031776 & 0.3113 & 0.378109 \tabularnewline
18 & 0.113308 & 1.1102 & 0.134847 \tabularnewline
19 & -0.226968 & -2.2238 & 0.014252 \tabularnewline
20 & 0.165111 & 1.6178 & 0.054499 \tabularnewline
21 & -0.073837 & -0.7235 & 0.23558 \tabularnewline
22 & 0.276787 & 2.712 & 0.003963 \tabularnewline
23 & 0.087332 & 0.8557 & 0.197154 \tabularnewline
24 & 0.041338 & 0.405 & 0.343181 \tabularnewline
25 & -0.072874 & -0.714 & 0.238474 \tabularnewline
26 & -0.116937 & -1.1457 & 0.127376 \tabularnewline
27 & 0.053309 & 0.5223 & 0.301327 \tabularnewline
28 & -0.09703 & -0.9507 & 0.172074 \tabularnewline
29 & -0.099653 & -0.9764 & 0.16566 \tabularnewline
30 & -0.094105 & -0.922 & 0.17941 \tabularnewline
31 & 0.044487 & 0.4359 & 0.331951 \tabularnewline
32 & 0.042901 & 0.4203 & 0.337586 \tabularnewline
33 & 0.061346 & 0.6011 & 0.274607 \tabularnewline
34 & -0.127319 & -1.2475 & 0.10763 \tabularnewline
35 & -0.033988 & -0.333 & 0.369926 \tabularnewline
36 & 0.041503 & 0.4066 & 0.342586 \tabularnewline
37 & 0.051117 & 0.5008 & 0.308814 \tabularnewline
38 & -0.010986 & -0.1076 & 0.457255 \tabularnewline
39 & -0.089152 & -0.8735 & 0.192284 \tabularnewline
40 & 0.006928 & 0.0679 & 0.473012 \tabularnewline
41 & -0.089083 & -0.8728 & 0.192468 \tabularnewline
42 & -0.005827 & -0.0571 & 0.477296 \tabularnewline
43 & -0.09618 & -0.9424 & 0.174184 \tabularnewline
44 & 0.044749 & 0.4384 & 0.331023 \tabularnewline
45 & -0.049703 & -0.487 & 0.313688 \tabularnewline
46 & -0.085888 & -0.8415 & 0.201071 \tabularnewline
47 & -0.04237 & -0.4151 & 0.339482 \tabularnewline
48 & -0.120579 & -1.1814 & 0.120176 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30107&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]0.658537[/C][C]6.4523[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.350853[/C][C]-3.4376[/C][C]0.000435[/C][/ROW]
[ROW][C]3[/C][C]-0.130721[/C][C]-1.2808[/C][C]0.101675[/C][/ROW]
[ROW][C]4[/C][C]-0.208715[/C][C]-2.045[/C][C]0.021797[/C][/ROW]
[ROW][C]5[/C][C]0.030094[/C][C]0.2949[/C][C]0.384368[/C][/ROW]
[ROW][C]6[/C][C]-0.103021[/C][C]-1.0094[/C][C]0.157661[/C][/ROW]
[ROW][C]7[/C][C]-0.409008[/C][C]-4.0074[/C][C]6.1e-05[/C][/ROW]
[ROW][C]8[/C][C]-0.034417[/C][C]-0.3372[/C][C]0.368346[/C][/ROW]
[ROW][C]9[/C][C]0.096839[/C][C]0.9488[/C][C]0.172547[/C][/ROW]
[ROW][C]10[/C][C]0.092621[/C][C]0.9075[/C][C]0.183208[/C][/ROW]
[ROW][C]11[/C][C]0.285259[/C][C]2.795[/C][C]0.003134[/C][/ROW]
[ROW][C]12[/C][C]0.057503[/C][C]0.5634[/C][C]0.287232[/C][/ROW]
[ROW][C]13[/C][C]-0.244381[/C][C]-2.3944[/C][C]0.009294[/C][/ROW]
[ROW][C]14[/C][C]0.007112[/C][C]0.0697[/C][C]0.472296[/C][/ROW]
[ROW][C]15[/C][C]0.101986[/C][C]0.9993[/C][C]0.160092[/C][/ROW]
[ROW][C]16[/C][C]-0.015991[/C][C]-0.1567[/C][C]0.437912[/C][/ROW]
[ROW][C]17[/C][C]0.031776[/C][C]0.3113[/C][C]0.378109[/C][/ROW]
[ROW][C]18[/C][C]0.113308[/C][C]1.1102[/C][C]0.134847[/C][/ROW]
[ROW][C]19[/C][C]-0.226968[/C][C]-2.2238[/C][C]0.014252[/C][/ROW]
[ROW][C]20[/C][C]0.165111[/C][C]1.6178[/C][C]0.054499[/C][/ROW]
[ROW][C]21[/C][C]-0.073837[/C][C]-0.7235[/C][C]0.23558[/C][/ROW]
[ROW][C]22[/C][C]0.276787[/C][C]2.712[/C][C]0.003963[/C][/ROW]
[ROW][C]23[/C][C]0.087332[/C][C]0.8557[/C][C]0.197154[/C][/ROW]
[ROW][C]24[/C][C]0.041338[/C][C]0.405[/C][C]0.343181[/C][/ROW]
[ROW][C]25[/C][C]-0.072874[/C][C]-0.714[/C][C]0.238474[/C][/ROW]
[ROW][C]26[/C][C]-0.116937[/C][C]-1.1457[/C][C]0.127376[/C][/ROW]
[ROW][C]27[/C][C]0.053309[/C][C]0.5223[/C][C]0.301327[/C][/ROW]
[ROW][C]28[/C][C]-0.09703[/C][C]-0.9507[/C][C]0.172074[/C][/ROW]
[ROW][C]29[/C][C]-0.099653[/C][C]-0.9764[/C][C]0.16566[/C][/ROW]
[ROW][C]30[/C][C]-0.094105[/C][C]-0.922[/C][C]0.17941[/C][/ROW]
[ROW][C]31[/C][C]0.044487[/C][C]0.4359[/C][C]0.331951[/C][/ROW]
[ROW][C]32[/C][C]0.042901[/C][C]0.4203[/C][C]0.337586[/C][/ROW]
[ROW][C]33[/C][C]0.061346[/C][C]0.6011[/C][C]0.274607[/C][/ROW]
[ROW][C]34[/C][C]-0.127319[/C][C]-1.2475[/C][C]0.10763[/C][/ROW]
[ROW][C]35[/C][C]-0.033988[/C][C]-0.333[/C][C]0.369926[/C][/ROW]
[ROW][C]36[/C][C]0.041503[/C][C]0.4066[/C][C]0.342586[/C][/ROW]
[ROW][C]37[/C][C]0.051117[/C][C]0.5008[/C][C]0.308814[/C][/ROW]
[ROW][C]38[/C][C]-0.010986[/C][C]-0.1076[/C][C]0.457255[/C][/ROW]
[ROW][C]39[/C][C]-0.089152[/C][C]-0.8735[/C][C]0.192284[/C][/ROW]
[ROW][C]40[/C][C]0.006928[/C][C]0.0679[/C][C]0.473012[/C][/ROW]
[ROW][C]41[/C][C]-0.089083[/C][C]-0.8728[/C][C]0.192468[/C][/ROW]
[ROW][C]42[/C][C]-0.005827[/C][C]-0.0571[/C][C]0.477296[/C][/ROW]
[ROW][C]43[/C][C]-0.09618[/C][C]-0.9424[/C][C]0.174184[/C][/ROW]
[ROW][C]44[/C][C]0.044749[/C][C]0.4384[/C][C]0.331023[/C][/ROW]
[ROW][C]45[/C][C]-0.049703[/C][C]-0.487[/C][C]0.313688[/C][/ROW]
[ROW][C]46[/C][C]-0.085888[/C][C]-0.8415[/C][C]0.201071[/C][/ROW]
[ROW][C]47[/C][C]-0.04237[/C][C]-0.4151[/C][C]0.339482[/C][/ROW]
[ROW][C]48[/C][C]-0.120579[/C][C]-1.1814[/C][C]0.120176[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30107&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30107&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	0.658537	6.4523	0
2	-0.350853	-3.4376	0.000435
3	-0.130721	-1.2808	0.101675
4	-0.208715	-2.045	0.021797
5	0.030094	0.2949	0.384368
6	-0.103021	-1.0094	0.157661
7	-0.409008	-4.0074	6.1e-05
8	-0.034417	-0.3372	0.368346
9	0.096839	0.9488	0.172547
10	0.092621	0.9075	0.183208
11	0.285259	2.795	0.003134
12	0.057503	0.5634	0.287232
13	-0.244381	-2.3944	0.009294
14	0.007112	0.0697	0.472296
15	0.101986	0.9993	0.160092
16	-0.015991	-0.1567	0.437912
17	0.031776	0.3113	0.378109
18	0.113308	1.1102	0.134847
19	-0.226968	-2.2238	0.014252
20	0.165111	1.6178	0.054499
21	-0.073837	-0.7235	0.23558
22	0.276787	2.712	0.003963
23	0.087332	0.8557	0.197154
24	0.041338	0.405	0.343181
25	-0.072874	-0.714	0.238474
26	-0.116937	-1.1457	0.127376
27	0.053309	0.5223	0.301327
28	-0.09703	-0.9507	0.172074
29	-0.099653	-0.9764	0.16566
30	-0.094105	-0.922	0.17941
31	0.044487	0.4359	0.331951
32	0.042901	0.4203	0.337586
33	0.061346	0.6011	0.274607
34	-0.127319	-1.2475	0.10763
35	-0.033988	-0.333	0.369926
36	0.041503	0.4066	0.342586
37	0.051117	0.5008	0.308814
38	-0.010986	-0.1076	0.457255
39	-0.089152	-0.8735	0.192284
40	0.006928	0.0679	0.473012
41	-0.089083	-0.8728	0.192468
42	-0.005827	-0.0571	0.477296
43	-0.09618	-0.9424	0.174184
44	0.044749	0.4384	0.331023
45	-0.049703	-0.487	0.313688
46	-0.085888	-0.8415	0.201071
47	-0.04237	-0.4151	0.339482
48	-0.120579	-1.1814	0.120176

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