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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 29 Nov 2007 08:47:46 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/29/t11963506549fq8isb4oqhzt4c.htm/, Retrieved Mon, 25 May 2026 14:40:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7522, Retrieved Mon, 25 May 2026 14:40:29 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

400

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

-       [(Partial) Autocorrelation Function] [Q2_T1] [2007-11-29 15:47:46] [031886dbad66702fa31ca1c4d15fdd0f] [Current]

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Dataseries X:

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Histogram

Boxplots

5,22
5,09
4,77
4,54
4,56
4,39
4,73
4,44
4,3
4,24
4,01
3,5
3,23
3,28
3,49
3,7
3,63
3,95
3,73
3,87
3,66
3,49
3,4
3,32
3,11
3,06
2,68
2,55
2,34
2,34
2,39
2,21
2,09
2,14
2,31
2,14
2,45
2,52
2,3
2,25
2,06
1,99
2,25
2,26
2,36
2,3
2,19
2,31
2,21
2,21
2,26
2,18
2,21
2,33
2,12
2,08
1,97
2,09
2,11
2,24
2,45
2,68
2,73
2,76
2,83
3,16
3,22
3,22
3,34
3,35
3,42
3,58
3,71
3,68
3,83
3,94
3,88
4,03
4,15
4,32
4,4
4,37
4,14
4,11
4,16

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=7522&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=7522&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7522&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	9.1652	0
1	0.186014	1.7048	0.045959
2	0.223822	2.0514	0.021674
3	0.101138	0.9269	0.178304
4	0.008196	0.0751	0.47015
5	0.044292	0.4059	0.342907
6	0.10443	0.9571	0.170628
7	0.024914	0.2283	0.409967
8	0.191068	1.7512	0.041784
9	0.126511	1.1595	0.12477
10	0.05516	0.5056	0.307248
11	0.084005	0.7699	0.221755
12	-0.102219	-0.9369	0.82424
13	0.145145	1.3303	0.093514
14	0.045998	0.4216	0.337206
15	0.117626	1.0781	0.142046
16	0.064032	0.5869	0.279434
17	0.150246	1.377	0.086081
18	0.020631	0.1891	0.425239
19	0.203854	1.8684	0.0326
20	0.040611	0.3722	0.355339
21	0.025683	0.2354	0.40724
22	-0.012186	-0.1117	0.544329
23	0.048293	0.4426	0.329591
24	0.03923	0.3596	0.360042
25	-0.01666	-0.1527	0.560497
26	-0.055578	-0.5094	0.69409
27	0.073385	0.6726	0.251529
28	0.17901	1.6407	0.052304
29	-0.007758	-0.0711	0.528256
30	0.111513	1.022	0.154851
31	-0.082832	-0.7592	0.77506
32	-0.084156	-0.7713	0.778655
33	-0.07714	-0.707	0.759239
34	-0.137022	-1.2558	0.893669
35	-0.058412	-0.5354	0.70309
36	0.058726	0.5382	0.295921
37	-0.103556	-0.9491	0.827355
38	0.046658	0.4276	0.33501
39	-0.193271	-1.7714	0.959936
40	-0.17046	-1.5623	0.939011
41	-0.064506	-0.5912	0.722014
42	-0.057488	-0.5269	0.70017
43	0.041116	0.3768	0.353624
44	0.042777	0.3921	0.348003
45	-0.049021	-0.4493	0.672809
46	-0.041406	-0.3795	0.647359
47	-0.018508	-0.1696	0.567144

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.1652 & 0 \tabularnewline
1 & 0.186014 & 1.7048 & 0.045959 \tabularnewline
2 & 0.223822 & 2.0514 & 0.021674 \tabularnewline
3 & 0.101138 & 0.9269 & 0.178304 \tabularnewline
4 & 0.008196 & 0.0751 & 0.47015 \tabularnewline
5 & 0.044292 & 0.4059 & 0.342907 \tabularnewline
6 & 0.10443 & 0.9571 & 0.170628 \tabularnewline
7 & 0.024914 & 0.2283 & 0.409967 \tabularnewline
8 & 0.191068 & 1.7512 & 0.041784 \tabularnewline
9 & 0.126511 & 1.1595 & 0.12477 \tabularnewline
10 & 0.05516 & 0.5056 & 0.307248 \tabularnewline
11 & 0.084005 & 0.7699 & 0.221755 \tabularnewline
12 & -0.102219 & -0.9369 & 0.82424 \tabularnewline
13 & 0.145145 & 1.3303 & 0.093514 \tabularnewline
14 & 0.045998 & 0.4216 & 0.337206 \tabularnewline
15 & 0.117626 & 1.0781 & 0.142046 \tabularnewline
16 & 0.064032 & 0.5869 & 0.279434 \tabularnewline
17 & 0.150246 & 1.377 & 0.086081 \tabularnewline
18 & 0.020631 & 0.1891 & 0.425239 \tabularnewline
19 & 0.203854 & 1.8684 & 0.0326 \tabularnewline
20 & 0.040611 & 0.3722 & 0.355339 \tabularnewline
21 & 0.025683 & 0.2354 & 0.40724 \tabularnewline
22 & -0.012186 & -0.1117 & 0.544329 \tabularnewline
23 & 0.048293 & 0.4426 & 0.329591 \tabularnewline
24 & 0.03923 & 0.3596 & 0.360042 \tabularnewline
25 & -0.01666 & -0.1527 & 0.560497 \tabularnewline
26 & -0.055578 & -0.5094 & 0.69409 \tabularnewline
27 & 0.073385 & 0.6726 & 0.251529 \tabularnewline
28 & 0.17901 & 1.6407 & 0.052304 \tabularnewline
29 & -0.007758 & -0.0711 & 0.528256 \tabularnewline
30 & 0.111513 & 1.022 & 0.154851 \tabularnewline
31 & -0.082832 & -0.7592 & 0.77506 \tabularnewline
32 & -0.084156 & -0.7713 & 0.778655 \tabularnewline
33 & -0.07714 & -0.707 & 0.759239 \tabularnewline
34 & -0.137022 & -1.2558 & 0.893669 \tabularnewline
35 & -0.058412 & -0.5354 & 0.70309 \tabularnewline
36 & 0.058726 & 0.5382 & 0.295921 \tabularnewline
37 & -0.103556 & -0.9491 & 0.827355 \tabularnewline
38 & 0.046658 & 0.4276 & 0.33501 \tabularnewline
39 & -0.193271 & -1.7714 & 0.959936 \tabularnewline
40 & -0.17046 & -1.5623 & 0.939011 \tabularnewline
41 & -0.064506 & -0.5912 & 0.722014 \tabularnewline
42 & -0.057488 & -0.5269 & 0.70017 \tabularnewline
43 & 0.041116 & 0.3768 & 0.353624 \tabularnewline
44 & 0.042777 & 0.3921 & 0.348003 \tabularnewline
45 & -0.049021 & -0.4493 & 0.672809 \tabularnewline
46 & -0.041406 & -0.3795 & 0.647359 \tabularnewline
47 & -0.018508 & -0.1696 & 0.567144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7522&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]9.1652[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.186014[/C][C]1.7048[/C][C]0.045959[/C][/ROW]
[ROW][C]2[/C][C]0.223822[/C][C]2.0514[/C][C]0.021674[/C][/ROW]
[ROW][C]3[/C][C]0.101138[/C][C]0.9269[/C][C]0.178304[/C][/ROW]
[ROW][C]4[/C][C]0.008196[/C][C]0.0751[/C][C]0.47015[/C][/ROW]
[ROW][C]5[/C][C]0.044292[/C][C]0.4059[/C][C]0.342907[/C][/ROW]
[ROW][C]6[/C][C]0.10443[/C][C]0.9571[/C][C]0.170628[/C][/ROW]
[ROW][C]7[/C][C]0.024914[/C][C]0.2283[/C][C]0.409967[/C][/ROW]
[ROW][C]8[/C][C]0.191068[/C][C]1.7512[/C][C]0.041784[/C][/ROW]
[ROW][C]9[/C][C]0.126511[/C][C]1.1595[/C][C]0.12477[/C][/ROW]
[ROW][C]10[/C][C]0.05516[/C][C]0.5056[/C][C]0.307248[/C][/ROW]
[ROW][C]11[/C][C]0.084005[/C][C]0.7699[/C][C]0.221755[/C][/ROW]
[ROW][C]12[/C][C]-0.102219[/C][C]-0.9369[/C][C]0.82424[/C][/ROW]
[ROW][C]13[/C][C]0.145145[/C][C]1.3303[/C][C]0.093514[/C][/ROW]
[ROW][C]14[/C][C]0.045998[/C][C]0.4216[/C][C]0.337206[/C][/ROW]
[ROW][C]15[/C][C]0.117626[/C][C]1.0781[/C][C]0.142046[/C][/ROW]
[ROW][C]16[/C][C]0.064032[/C][C]0.5869[/C][C]0.279434[/C][/ROW]
[ROW][C]17[/C][C]0.150246[/C][C]1.377[/C][C]0.086081[/C][/ROW]
[ROW][C]18[/C][C]0.020631[/C][C]0.1891[/C][C]0.425239[/C][/ROW]
[ROW][C]19[/C][C]0.203854[/C][C]1.8684[/C][C]0.0326[/C][/ROW]
[ROW][C]20[/C][C]0.040611[/C][C]0.3722[/C][C]0.355339[/C][/ROW]
[ROW][C]21[/C][C]0.025683[/C][C]0.2354[/C][C]0.40724[/C][/ROW]
[ROW][C]22[/C][C]-0.012186[/C][C]-0.1117[/C][C]0.544329[/C][/ROW]
[ROW][C]23[/C][C]0.048293[/C][C]0.4426[/C][C]0.329591[/C][/ROW]
[ROW][C]24[/C][C]0.03923[/C][C]0.3596[/C][C]0.360042[/C][/ROW]
[ROW][C]25[/C][C]-0.01666[/C][C]-0.1527[/C][C]0.560497[/C][/ROW]
[ROW][C]26[/C][C]-0.055578[/C][C]-0.5094[/C][C]0.69409[/C][/ROW]
[ROW][C]27[/C][C]0.073385[/C][C]0.6726[/C][C]0.251529[/C][/ROW]
[ROW][C]28[/C][C]0.17901[/C][C]1.6407[/C][C]0.052304[/C][/ROW]
[ROW][C]29[/C][C]-0.007758[/C][C]-0.0711[/C][C]0.528256[/C][/ROW]
[ROW][C]30[/C][C]0.111513[/C][C]1.022[/C][C]0.154851[/C][/ROW]
[ROW][C]31[/C][C]-0.082832[/C][C]-0.7592[/C][C]0.77506[/C][/ROW]
[ROW][C]32[/C][C]-0.084156[/C][C]-0.7713[/C][C]0.778655[/C][/ROW]
[ROW][C]33[/C][C]-0.07714[/C][C]-0.707[/C][C]0.759239[/C][/ROW]
[ROW][C]34[/C][C]-0.137022[/C][C]-1.2558[/C][C]0.893669[/C][/ROW]
[ROW][C]35[/C][C]-0.058412[/C][C]-0.5354[/C][C]0.70309[/C][/ROW]
[ROW][C]36[/C][C]0.058726[/C][C]0.5382[/C][C]0.295921[/C][/ROW]
[ROW][C]37[/C][C]-0.103556[/C][C]-0.9491[/C][C]0.827355[/C][/ROW]
[ROW][C]38[/C][C]0.046658[/C][C]0.4276[/C][C]0.33501[/C][/ROW]
[ROW][C]39[/C][C]-0.193271[/C][C]-1.7714[/C][C]0.959936[/C][/ROW]
[ROW][C]40[/C][C]-0.17046[/C][C]-1.5623[/C][C]0.939011[/C][/ROW]
[ROW][C]41[/C][C]-0.064506[/C][C]-0.5912[/C][C]0.722014[/C][/ROW]
[ROW][C]42[/C][C]-0.057488[/C][C]-0.5269[/C][C]0.70017[/C][/ROW]
[ROW][C]43[/C][C]0.041116[/C][C]0.3768[/C][C]0.353624[/C][/ROW]
[ROW][C]44[/C][C]0.042777[/C][C]0.3921[/C][C]0.348003[/C][/ROW]
[ROW][C]45[/C][C]-0.049021[/C][C]-0.4493[/C][C]0.672809[/C][/ROW]
[ROW][C]46[/C][C]-0.041406[/C][C]-0.3795[/C][C]0.647359[/C][/ROW]
[ROW][C]47[/C][C]-0.018508[/C][C]-0.1696[/C][C]0.567144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7522&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7522&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	9.1652	0
1	0.186014	1.7048	0.045959
2	0.223822	2.0514	0.021674
3	0.101138	0.9269	0.178304
4	0.008196	0.0751	0.47015
5	0.044292	0.4059	0.342907
6	0.10443	0.9571	0.170628
7	0.024914	0.2283	0.409967
8	0.191068	1.7512	0.041784
9	0.126511	1.1595	0.12477
10	0.05516	0.5056	0.307248
11	0.084005	0.7699	0.221755
12	-0.102219	-0.9369	0.82424
13	0.145145	1.3303	0.093514
14	0.045998	0.4216	0.337206
15	0.117626	1.0781	0.142046
16	0.064032	0.5869	0.279434
17	0.150246	1.377	0.086081
18	0.020631	0.1891	0.425239
19	0.203854	1.8684	0.0326
20	0.040611	0.3722	0.355339
21	0.025683	0.2354	0.40724
22	-0.012186	-0.1117	0.544329
23	0.048293	0.4426	0.329591
24	0.03923	0.3596	0.360042
25	-0.01666	-0.1527	0.560497
26	-0.055578	-0.5094	0.69409
27	0.073385	0.6726	0.251529
28	0.17901	1.6407	0.052304
29	-0.007758	-0.0711	0.528256
30	0.111513	1.022	0.154851
31	-0.082832	-0.7592	0.77506
32	-0.084156	-0.7713	0.778655
33	-0.07714	-0.707	0.759239
34	-0.137022	-1.2558	0.893669
35	-0.058412	-0.5354	0.70309
36	0.058726	0.5382	0.295921
37	-0.103556	-0.9491	0.827355
38	0.046658	0.4276	0.33501
39	-0.193271	-1.7714	0.959936
40	-0.17046	-1.5623	0.939011
41	-0.064506	-0.5912	0.722014
42	-0.057488	-0.5269	0.70017
43	0.041116	0.3768	0.353624
44	0.042777	0.3921	0.348003
45	-0.049021	-0.4493	0.672809
46	-0.041406	-0.3795	0.647359
47	-0.018508	-0.1696	0.567144

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.186014	1.7048	0.045959
1	0.196003	1.7964	0.038013
2	0.033615	0.3081	0.379389
3	-0.059596	-0.5462	0.706814
4	0.026292	0.241	0.405083
5	0.110326	1.0112	0.157422
6	-0.015029	-0.1377	0.554612
7	0.154918	1.4199	0.079676
8	0.073108	0.67	0.252333
9	-0.038407	-0.352	0.637142
10	0.021062	0.193	0.423697
11	-0.139757	-1.2809	0.898122
12	0.186038	1.7051	0.045939
13	0.013266	0.1216	0.45176
14	0.065182	0.5974	0.275924
15	-0.031858	-0.292	0.61449
16	0.099321	0.9103	0.182636
17	-0.024225	-0.222	0.587582
18	0.145491	1.3334	0.092995
19	0.018318	0.1679	0.433538
20	-0.078248	-0.7172	0.762365
21	-0.080726	-0.7399	0.769277
22	0.055774	0.5112	0.305283
23	0.010632	0.0974	0.461303
24	-0.065276	-0.5983	0.724364
25	-0.112931	-1.035	0.848187
26	0.113082	1.0364	0.151492
27	0.166634	1.5272	0.065231
28	-0.081539	-0.7473	0.77152
29	0.006414	0.0588	0.47663
30	-0.066138	-0.6062	0.72698
31	-0.149698	-1.372	0.913143
32	-0.06649	-0.6094	0.728044
33	-0.111721	-1.0239	0.845599
34	0.062299	0.571	0.28477
35	0.003134	0.0287	0.488575
36	-0.153456	-1.4064	0.918359
37	0.021544	0.1975	0.421973
38	-0.152895	-1.4013	0.917597
39	-0.039226	-0.3595	0.639942
40	0.018136	0.1662	0.434194
41	0.098696	0.9046	0.184142
42	0.025244	0.2314	0.408796
43	-0.031769	-0.2912	0.614178
44	-0.016707	-0.1531	0.560664
45	-0.051258	-0.4698	0.680138
46	0.010244	0.0939	0.462712
47	0.009732	0.0892	0.464571

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.186014 & 1.7048 & 0.045959 \tabularnewline
1 & 0.196003 & 1.7964 & 0.038013 \tabularnewline
2 & 0.033615 & 0.3081 & 0.379389 \tabularnewline
3 & -0.059596 & -0.5462 & 0.706814 \tabularnewline
4 & 0.026292 & 0.241 & 0.405083 \tabularnewline
5 & 0.110326 & 1.0112 & 0.157422 \tabularnewline
6 & -0.015029 & -0.1377 & 0.554612 \tabularnewline
7 & 0.154918 & 1.4199 & 0.079676 \tabularnewline
8 & 0.073108 & 0.67 & 0.252333 \tabularnewline
9 & -0.038407 & -0.352 & 0.637142 \tabularnewline
10 & 0.021062 & 0.193 & 0.423697 \tabularnewline
11 & -0.139757 & -1.2809 & 0.898122 \tabularnewline
12 & 0.186038 & 1.7051 & 0.045939 \tabularnewline
13 & 0.013266 & 0.1216 & 0.45176 \tabularnewline
14 & 0.065182 & 0.5974 & 0.275924 \tabularnewline
15 & -0.031858 & -0.292 & 0.61449 \tabularnewline
16 & 0.099321 & 0.9103 & 0.182636 \tabularnewline
17 & -0.024225 & -0.222 & 0.587582 \tabularnewline
18 & 0.145491 & 1.3334 & 0.092995 \tabularnewline
19 & 0.018318 & 0.1679 & 0.433538 \tabularnewline
20 & -0.078248 & -0.7172 & 0.762365 \tabularnewline
21 & -0.080726 & -0.7399 & 0.769277 \tabularnewline
22 & 0.055774 & 0.5112 & 0.305283 \tabularnewline
23 & 0.010632 & 0.0974 & 0.461303 \tabularnewline
24 & -0.065276 & -0.5983 & 0.724364 \tabularnewline
25 & -0.112931 & -1.035 & 0.848187 \tabularnewline
26 & 0.113082 & 1.0364 & 0.151492 \tabularnewline
27 & 0.166634 & 1.5272 & 0.065231 \tabularnewline
28 & -0.081539 & -0.7473 & 0.77152 \tabularnewline
29 & 0.006414 & 0.0588 & 0.47663 \tabularnewline
30 & -0.066138 & -0.6062 & 0.72698 \tabularnewline
31 & -0.149698 & -1.372 & 0.913143 \tabularnewline
32 & -0.06649 & -0.6094 & 0.728044 \tabularnewline
33 & -0.111721 & -1.0239 & 0.845599 \tabularnewline
34 & 0.062299 & 0.571 & 0.28477 \tabularnewline
35 & 0.003134 & 0.0287 & 0.488575 \tabularnewline
36 & -0.153456 & -1.4064 & 0.918359 \tabularnewline
37 & 0.021544 & 0.1975 & 0.421973 \tabularnewline
38 & -0.152895 & -1.4013 & 0.917597 \tabularnewline
39 & -0.039226 & -0.3595 & 0.639942 \tabularnewline
40 & 0.018136 & 0.1662 & 0.434194 \tabularnewline
41 & 0.098696 & 0.9046 & 0.184142 \tabularnewline
42 & 0.025244 & 0.2314 & 0.408796 \tabularnewline
43 & -0.031769 & -0.2912 & 0.614178 \tabularnewline
44 & -0.016707 & -0.1531 & 0.560664 \tabularnewline
45 & -0.051258 & -0.4698 & 0.680138 \tabularnewline
46 & 0.010244 & 0.0939 & 0.462712 \tabularnewline
47 & 0.009732 & 0.0892 & 0.464571 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7522&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]0.186014[/C][C]1.7048[/C][C]0.045959[/C][/ROW]
[ROW][C]1[/C][C]0.196003[/C][C]1.7964[/C][C]0.038013[/C][/ROW]
[ROW][C]2[/C][C]0.033615[/C][C]0.3081[/C][C]0.379389[/C][/ROW]
[ROW][C]3[/C][C]-0.059596[/C][C]-0.5462[/C][C]0.706814[/C][/ROW]
[ROW][C]4[/C][C]0.026292[/C][C]0.241[/C][C]0.405083[/C][/ROW]
[ROW][C]5[/C][C]0.110326[/C][C]1.0112[/C][C]0.157422[/C][/ROW]
[ROW][C]6[/C][C]-0.015029[/C][C]-0.1377[/C][C]0.554612[/C][/ROW]
[ROW][C]7[/C][C]0.154918[/C][C]1.4199[/C][C]0.079676[/C][/ROW]
[ROW][C]8[/C][C]0.073108[/C][C]0.67[/C][C]0.252333[/C][/ROW]
[ROW][C]9[/C][C]-0.038407[/C][C]-0.352[/C][C]0.637142[/C][/ROW]
[ROW][C]10[/C][C]0.021062[/C][C]0.193[/C][C]0.423697[/C][/ROW]
[ROW][C]11[/C][C]-0.139757[/C][C]-1.2809[/C][C]0.898122[/C][/ROW]
[ROW][C]12[/C][C]0.186038[/C][C]1.7051[/C][C]0.045939[/C][/ROW]
[ROW][C]13[/C][C]0.013266[/C][C]0.1216[/C][C]0.45176[/C][/ROW]
[ROW][C]14[/C][C]0.065182[/C][C]0.5974[/C][C]0.275924[/C][/ROW]
[ROW][C]15[/C][C]-0.031858[/C][C]-0.292[/C][C]0.61449[/C][/ROW]
[ROW][C]16[/C][C]0.099321[/C][C]0.9103[/C][C]0.182636[/C][/ROW]
[ROW][C]17[/C][C]-0.024225[/C][C]-0.222[/C][C]0.587582[/C][/ROW]
[ROW][C]18[/C][C]0.145491[/C][C]1.3334[/C][C]0.092995[/C][/ROW]
[ROW][C]19[/C][C]0.018318[/C][C]0.1679[/C][C]0.433538[/C][/ROW]
[ROW][C]20[/C][C]-0.078248[/C][C]-0.7172[/C][C]0.762365[/C][/ROW]
[ROW][C]21[/C][C]-0.080726[/C][C]-0.7399[/C][C]0.769277[/C][/ROW]
[ROW][C]22[/C][C]0.055774[/C][C]0.5112[/C][C]0.305283[/C][/ROW]
[ROW][C]23[/C][C]0.010632[/C][C]0.0974[/C][C]0.461303[/C][/ROW]
[ROW][C]24[/C][C]-0.065276[/C][C]-0.5983[/C][C]0.724364[/C][/ROW]
[ROW][C]25[/C][C]-0.112931[/C][C]-1.035[/C][C]0.848187[/C][/ROW]
[ROW][C]26[/C][C]0.113082[/C][C]1.0364[/C][C]0.151492[/C][/ROW]
[ROW][C]27[/C][C]0.166634[/C][C]1.5272[/C][C]0.065231[/C][/ROW]
[ROW][C]28[/C][C]-0.081539[/C][C]-0.7473[/C][C]0.77152[/C][/ROW]
[ROW][C]29[/C][C]0.006414[/C][C]0.0588[/C][C]0.47663[/C][/ROW]
[ROW][C]30[/C][C]-0.066138[/C][C]-0.6062[/C][C]0.72698[/C][/ROW]
[ROW][C]31[/C][C]-0.149698[/C][C]-1.372[/C][C]0.913143[/C][/ROW]
[ROW][C]32[/C][C]-0.06649[/C][C]-0.6094[/C][C]0.728044[/C][/ROW]
[ROW][C]33[/C][C]-0.111721[/C][C]-1.0239[/C][C]0.845599[/C][/ROW]
[ROW][C]34[/C][C]0.062299[/C][C]0.571[/C][C]0.28477[/C][/ROW]
[ROW][C]35[/C][C]0.003134[/C][C]0.0287[/C][C]0.488575[/C][/ROW]
[ROW][C]36[/C][C]-0.153456[/C][C]-1.4064[/C][C]0.918359[/C][/ROW]
[ROW][C]37[/C][C]0.021544[/C][C]0.1975[/C][C]0.421973[/C][/ROW]
[ROW][C]38[/C][C]-0.152895[/C][C]-1.4013[/C][C]0.917597[/C][/ROW]
[ROW][C]39[/C][C]-0.039226[/C][C]-0.3595[/C][C]0.639942[/C][/ROW]
[ROW][C]40[/C][C]0.018136[/C][C]0.1662[/C][C]0.434194[/C][/ROW]
[ROW][C]41[/C][C]0.098696[/C][C]0.9046[/C][C]0.184142[/C][/ROW]
[ROW][C]42[/C][C]0.025244[/C][C]0.2314[/C][C]0.408796[/C][/ROW]
[ROW][C]43[/C][C]-0.031769[/C][C]-0.2912[/C][C]0.614178[/C][/ROW]
[ROW][C]44[/C][C]-0.016707[/C][C]-0.1531[/C][C]0.560664[/C][/ROW]
[ROW][C]45[/C][C]-0.051258[/C][C]-0.4698[/C][C]0.680138[/C][/ROW]
[ROW][C]46[/C][C]0.010244[/C][C]0.0939[/C][C]0.462712[/C][/ROW]
[ROW][C]47[/C][C]0.009732[/C][C]0.0892[/C][C]0.464571[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7522&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7522&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	0.186014	1.7048	0.045959
1	0.196003	1.7964	0.038013
2	0.033615	0.3081	0.379389
3	-0.059596	-0.5462	0.706814
4	0.026292	0.241	0.405083
5	0.110326	1.0112	0.157422
6	-0.015029	-0.1377	0.554612
7	0.154918	1.4199	0.079676
8	0.073108	0.67	0.252333
9	-0.038407	-0.352	0.637142
10	0.021062	0.193	0.423697
11	-0.139757	-1.2809	0.898122
12	0.186038	1.7051	0.045939
13	0.013266	0.1216	0.45176
14	0.065182	0.5974	0.275924
15	-0.031858	-0.292	0.61449
16	0.099321	0.9103	0.182636
17	-0.024225	-0.222	0.587582
18	0.145491	1.3334	0.092995
19	0.018318	0.1679	0.433538
20	-0.078248	-0.7172	0.762365
21	-0.080726	-0.7399	0.769277
22	0.055774	0.5112	0.305283
23	0.010632	0.0974	0.461303
24	-0.065276	-0.5983	0.724364
25	-0.112931	-1.035	0.848187
26	0.113082	1.0364	0.151492
27	0.166634	1.5272	0.065231
28	-0.081539	-0.7473	0.77152
29	0.006414	0.0588	0.47663
30	-0.066138	-0.6062	0.72698
31	-0.149698	-1.372	0.913143
32	-0.06649	-0.6094	0.728044
33	-0.111721	-1.0239	0.845599
34	0.062299	0.571	0.28477
35	0.003134	0.0287	0.488575
36	-0.153456	-1.4064	0.918359
37	0.021544	0.1975	0.421973
38	-0.152895	-1.4013	0.917597
39	-0.039226	-0.3595	0.639942
40	0.018136	0.1662	0.434194
41	0.098696	0.9046	0.184142
42	0.025244	0.2314	0.408796
43	-0.031769	-0.2912	0.614178
44	-0.016707	-0.1531	0.560664
45	-0.051258	-0.4698	0.680138
46	0.010244	0.0939	0.462712
47	0.009732	0.0892	0.464571

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