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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Tue, 18 Dec 2007 09:30:41 -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/Dec/18/t1197994637r77so18sslk9cis.htm/, Retrieved Wed, 11 Feb 2026 00:47:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4548, Retrieved Wed, 11 Feb 2026 00:47:35 +0000

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Estimated Impact

427

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

-       [(Partial) Autocorrelation Function] [ACF en PACF indus...] [2007-12-18 16:30:41] [44cf2be50bc8700e14714598feda9df9] [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	12 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 & 12 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=4548&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]12 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=4548&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4548&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	12 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	7	0
1	0.072686	0.5088	0.306587
2	0.189907	1.3294	0.094944
3	0.384496	2.6915	0.004852
4	0.014994	0.105	0.458418
5	0.142362	0.9965	0.161944
6	0.124986	0.8749	0.192948
7	-0.270085	-1.8906	0.9677
8	-0.132604	-0.9282	0.82108
9	-0.043284	-0.303	0.618408
10	-0.339041	-2.3733	0.989202
11	-0.122042	-0.8543	0.80145
12	-0.258498	-1.8095	0.961744
13	-0.246847	-1.7279	0.95485
14	-0.04949	-0.3464	0.63475
15	-0.077817	-0.5447	0.705792
16	-0.098512	-0.6896	0.753145
17	0.109598	0.7672	0.223325
18	0.005551	0.0389	0.484582
19	-0.107803	-0.7546	0.772956
20	0.152588	1.0681	0.145351
21	0.12585	0.881	0.191322
22	-0.050286	-0.352	0.636826
23	0.195818	1.3707	0.088353
24	-0.050941	-0.3566	0.638533
25	-0.01101	-0.0771	0.530559
26	0.186397	1.3048	0.099032
27	-0.085597	-0.5992	0.724092
28	-0.080969	-0.5668	0.713277
29	0.056325	0.3943	0.347543
30	-0.086636	-0.6065	0.726494
31	0.095335	0.6673	0.253842
32	-0.006454	-0.0452	0.517925
33	-0.156023	-1.0922	0.859948
34	0.068171	0.4772	0.317671
35	-0.016942	-0.1186	0.546959
36	-0.094223	-0.6596	0.743688
37	0.037473	0.2623	0.397091
38	-0.046434	-0.325	0.626733
39	-0.068914	-0.4824	0.684164
40	0.066	0.462	0.323064
41	-0.037216	-0.2605	0.60222
42	-0.063706	-0.4459	0.671199
43	0.043091	0.3016	0.382104
44	0.018155	0.1271	0.449696
45	-0.04479	-0.3135	0.622396
46	0.028665	0.2007	0.4209
47	0.025296	0.1771	0.430092

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7 & 0 \tabularnewline
1 & 0.072686 & 0.5088 & 0.306587 \tabularnewline
2 & 0.189907 & 1.3294 & 0.094944 \tabularnewline
3 & 0.384496 & 2.6915 & 0.004852 \tabularnewline
4 & 0.014994 & 0.105 & 0.458418 \tabularnewline
5 & 0.142362 & 0.9965 & 0.161944 \tabularnewline
6 & 0.124986 & 0.8749 & 0.192948 \tabularnewline
7 & -0.270085 & -1.8906 & 0.9677 \tabularnewline
8 & -0.132604 & -0.9282 & 0.82108 \tabularnewline
9 & -0.043284 & -0.303 & 0.618408 \tabularnewline
10 & -0.339041 & -2.3733 & 0.989202 \tabularnewline
11 & -0.122042 & -0.8543 & 0.80145 \tabularnewline
12 & -0.258498 & -1.8095 & 0.961744 \tabularnewline
13 & -0.246847 & -1.7279 & 0.95485 \tabularnewline
14 & -0.04949 & -0.3464 & 0.63475 \tabularnewline
15 & -0.077817 & -0.5447 & 0.705792 \tabularnewline
16 & -0.098512 & -0.6896 & 0.753145 \tabularnewline
17 & 0.109598 & 0.7672 & 0.223325 \tabularnewline
18 & 0.005551 & 0.0389 & 0.484582 \tabularnewline
19 & -0.107803 & -0.7546 & 0.772956 \tabularnewline
20 & 0.152588 & 1.0681 & 0.145351 \tabularnewline
21 & 0.12585 & 0.881 & 0.191322 \tabularnewline
22 & -0.050286 & -0.352 & 0.636826 \tabularnewline
23 & 0.195818 & 1.3707 & 0.088353 \tabularnewline
24 & -0.050941 & -0.3566 & 0.638533 \tabularnewline
25 & -0.01101 & -0.0771 & 0.530559 \tabularnewline
26 & 0.186397 & 1.3048 & 0.099032 \tabularnewline
27 & -0.085597 & -0.5992 & 0.724092 \tabularnewline
28 & -0.080969 & -0.5668 & 0.713277 \tabularnewline
29 & 0.056325 & 0.3943 & 0.347543 \tabularnewline
30 & -0.086636 & -0.6065 & 0.726494 \tabularnewline
31 & 0.095335 & 0.6673 & 0.253842 \tabularnewline
32 & -0.006454 & -0.0452 & 0.517925 \tabularnewline
33 & -0.156023 & -1.0922 & 0.859948 \tabularnewline
34 & 0.068171 & 0.4772 & 0.317671 \tabularnewline
35 & -0.016942 & -0.1186 & 0.546959 \tabularnewline
36 & -0.094223 & -0.6596 & 0.743688 \tabularnewline
37 & 0.037473 & 0.2623 & 0.397091 \tabularnewline
38 & -0.046434 & -0.325 & 0.626733 \tabularnewline
39 & -0.068914 & -0.4824 & 0.684164 \tabularnewline
40 & 0.066 & 0.462 & 0.323064 \tabularnewline
41 & -0.037216 & -0.2605 & 0.60222 \tabularnewline
42 & -0.063706 & -0.4459 & 0.671199 \tabularnewline
43 & 0.043091 & 0.3016 & 0.382104 \tabularnewline
44 & 0.018155 & 0.1271 & 0.449696 \tabularnewline
45 & -0.04479 & -0.3135 & 0.622396 \tabularnewline
46 & 0.028665 & 0.2007 & 0.4209 \tabularnewline
47 & 0.025296 & 0.1771 & 0.430092 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4548&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]7[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.072686[/C][C]0.5088[/C][C]0.306587[/C][/ROW]
[ROW][C]2[/C][C]0.189907[/C][C]1.3294[/C][C]0.094944[/C][/ROW]
[ROW][C]3[/C][C]0.384496[/C][C]2.6915[/C][C]0.004852[/C][/ROW]
[ROW][C]4[/C][C]0.014994[/C][C]0.105[/C][C]0.458418[/C][/ROW]
[ROW][C]5[/C][C]0.142362[/C][C]0.9965[/C][C]0.161944[/C][/ROW]
[ROW][C]6[/C][C]0.124986[/C][C]0.8749[/C][C]0.192948[/C][/ROW]
[ROW][C]7[/C][C]-0.270085[/C][C]-1.8906[/C][C]0.9677[/C][/ROW]
[ROW][C]8[/C][C]-0.132604[/C][C]-0.9282[/C][C]0.82108[/C][/ROW]
[ROW][C]9[/C][C]-0.043284[/C][C]-0.303[/C][C]0.618408[/C][/ROW]
[ROW][C]10[/C][C]-0.339041[/C][C]-2.3733[/C][C]0.989202[/C][/ROW]
[ROW][C]11[/C][C]-0.122042[/C][C]-0.8543[/C][C]0.80145[/C][/ROW]
[ROW][C]12[/C][C]-0.258498[/C][C]-1.8095[/C][C]0.961744[/C][/ROW]
[ROW][C]13[/C][C]-0.246847[/C][C]-1.7279[/C][C]0.95485[/C][/ROW]
[ROW][C]14[/C][C]-0.04949[/C][C]-0.3464[/C][C]0.63475[/C][/ROW]
[ROW][C]15[/C][C]-0.077817[/C][C]-0.5447[/C][C]0.705792[/C][/ROW]
[ROW][C]16[/C][C]-0.098512[/C][C]-0.6896[/C][C]0.753145[/C][/ROW]
[ROW][C]17[/C][C]0.109598[/C][C]0.7672[/C][C]0.223325[/C][/ROW]
[ROW][C]18[/C][C]0.005551[/C][C]0.0389[/C][C]0.484582[/C][/ROW]
[ROW][C]19[/C][C]-0.107803[/C][C]-0.7546[/C][C]0.772956[/C][/ROW]
[ROW][C]20[/C][C]0.152588[/C][C]1.0681[/C][C]0.145351[/C][/ROW]
[ROW][C]21[/C][C]0.12585[/C][C]0.881[/C][C]0.191322[/C][/ROW]
[ROW][C]22[/C][C]-0.050286[/C][C]-0.352[/C][C]0.636826[/C][/ROW]
[ROW][C]23[/C][C]0.195818[/C][C]1.3707[/C][C]0.088353[/C][/ROW]
[ROW][C]24[/C][C]-0.050941[/C][C]-0.3566[/C][C]0.638533[/C][/ROW]
[ROW][C]25[/C][C]-0.01101[/C][C]-0.0771[/C][C]0.530559[/C][/ROW]
[ROW][C]26[/C][C]0.186397[/C][C]1.3048[/C][C]0.099032[/C][/ROW]
[ROW][C]27[/C][C]-0.085597[/C][C]-0.5992[/C][C]0.724092[/C][/ROW]
[ROW][C]28[/C][C]-0.080969[/C][C]-0.5668[/C][C]0.713277[/C][/ROW]
[ROW][C]29[/C][C]0.056325[/C][C]0.3943[/C][C]0.347543[/C][/ROW]
[ROW][C]30[/C][C]-0.086636[/C][C]-0.6065[/C][C]0.726494[/C][/ROW]
[ROW][C]31[/C][C]0.095335[/C][C]0.6673[/C][C]0.253842[/C][/ROW]
[ROW][C]32[/C][C]-0.006454[/C][C]-0.0452[/C][C]0.517925[/C][/ROW]
[ROW][C]33[/C][C]-0.156023[/C][C]-1.0922[/C][C]0.859948[/C][/ROW]
[ROW][C]34[/C][C]0.068171[/C][C]0.4772[/C][C]0.317671[/C][/ROW]
[ROW][C]35[/C][C]-0.016942[/C][C]-0.1186[/C][C]0.546959[/C][/ROW]
[ROW][C]36[/C][C]-0.094223[/C][C]-0.6596[/C][C]0.743688[/C][/ROW]
[ROW][C]37[/C][C]0.037473[/C][C]0.2623[/C][C]0.397091[/C][/ROW]
[ROW][C]38[/C][C]-0.046434[/C][C]-0.325[/C][C]0.626733[/C][/ROW]
[ROW][C]39[/C][C]-0.068914[/C][C]-0.4824[/C][C]0.684164[/C][/ROW]
[ROW][C]40[/C][C]0.066[/C][C]0.462[/C][C]0.323064[/C][/ROW]
[ROW][C]41[/C][C]-0.037216[/C][C]-0.2605[/C][C]0.60222[/C][/ROW]
[ROW][C]42[/C][C]-0.063706[/C][C]-0.4459[/C][C]0.671199[/C][/ROW]
[ROW][C]43[/C][C]0.043091[/C][C]0.3016[/C][C]0.382104[/C][/ROW]
[ROW][C]44[/C][C]0.018155[/C][C]0.1271[/C][C]0.449696[/C][/ROW]
[ROW][C]45[/C][C]-0.04479[/C][C]-0.3135[/C][C]0.622396[/C][/ROW]
[ROW][C]46[/C][C]0.028665[/C][C]0.2007[/C][C]0.4209[/C][/ROW]
[ROW][C]47[/C][C]0.025296[/C][C]0.1771[/C][C]0.430092[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4548&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4548&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	7	0
1	0.072686	0.5088	0.306587
2	0.189907	1.3294	0.094944
3	0.384496	2.6915	0.004852
4	0.014994	0.105	0.458418
5	0.142362	0.9965	0.161944
6	0.124986	0.8749	0.192948
7	-0.270085	-1.8906	0.9677
8	-0.132604	-0.9282	0.82108
9	-0.043284	-0.303	0.618408
10	-0.339041	-2.3733	0.989202
11	-0.122042	-0.8543	0.80145
12	-0.258498	-1.8095	0.961744
13	-0.246847	-1.7279	0.95485
14	-0.04949	-0.3464	0.63475
15	-0.077817	-0.5447	0.705792
16	-0.098512	-0.6896	0.753145
17	0.109598	0.7672	0.223325
18	0.005551	0.0389	0.484582
19	-0.107803	-0.7546	0.772956
20	0.152588	1.0681	0.145351
21	0.12585	0.881	0.191322
22	-0.050286	-0.352	0.636826
23	0.195818	1.3707	0.088353
24	-0.050941	-0.3566	0.638533
25	-0.01101	-0.0771	0.530559
26	0.186397	1.3048	0.099032
27	-0.085597	-0.5992	0.724092
28	-0.080969	-0.5668	0.713277
29	0.056325	0.3943	0.347543
30	-0.086636	-0.6065	0.726494
31	0.095335	0.6673	0.253842
32	-0.006454	-0.0452	0.517925
33	-0.156023	-1.0922	0.859948
34	0.068171	0.4772	0.317671
35	-0.016942	-0.1186	0.546959
36	-0.094223	-0.6596	0.743688
37	0.037473	0.2623	0.397091
38	-0.046434	-0.325	0.626733
39	-0.068914	-0.4824	0.684164
40	0.066	0.462	0.323064
41	-0.037216	-0.2605	0.60222
42	-0.063706	-0.4459	0.671199
43	0.043091	0.3016	0.382104
44	0.018155	0.1271	0.449696
45	-0.04479	-0.3135	0.622396
46	0.028665	0.2007	0.4209
47	0.025296	0.1771	0.430092

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.072686	0.5088	0.306587
1	0.185604	1.2992	0.099972
2	0.374578	2.622	0.005806
3	-0.047594	-0.3332	0.629782
4	0.010728	0.0751	0.470223
5	-0.016408	-0.1149	0.545487
6	-0.344948	-2.4146	0.990235
7	-0.282177	-1.9752	0.973056
8	-0.006333	-0.0443	0.517591
9	-0.106144	-0.743	0.769487
10	0.021902	0.1533	0.439389
11	-0.113092	-0.7916	0.783808
12	0.019559	0.1369	0.44583
13	0.028411	0.1989	0.42159
14	0.07592	0.5314	0.298758
15	0.020842	0.1459	0.442301
16	0.107337	0.7514	0.228015
17	-0.033608	-0.2353	0.592505
18	-0.33624	-2.3537	0.988678
19	-0.193182	-1.3523	0.908752
20	0.15678	1.0975	0.138902
21	-0.035832	-0.2508	0.598501
22	0.138374	0.9686	0.168747
23	-0.036385	-0.2547	0.599988
24	0.019847	0.1389	0.445037
25	-0.005279	-0.037	0.514664
26	-0.065573	-0.459	0.675873
27	-0.0655	-0.4585	0.675689
28	-0.011415	-0.0799	0.531682
29	-0.034138	-0.239	0.593935
30	0.128873	0.9021	0.185705
31	-0.097914	-0.6854	0.751839
32	-0.023935	-0.1675	0.566186
33	-0.02962	-0.2073	0.581698
34	0.017776	0.1244	0.450742
35	-0.069487	-0.4864	0.685578
36	-0.044	-0.308	0.620307
37	-0.027493	-0.1925	0.575908
38	-0.003989	-0.0279	0.511082
39	-0.022383	-0.1567	0.561929
40	0.067122	0.4699	0.320271
41	-0.018051	-0.1264	0.550017
42	0.030985	0.2169	0.414595
43	-0.002549	-0.0178	0.507081
44	0.005054	0.0354	0.48596
45	-0.160143	-1.121	0.866124
46	-0.080401	-0.5628	0.711934
47	-0.03105	-0.2173	0.58558

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.072686 & 0.5088 & 0.306587 \tabularnewline
1 & 0.185604 & 1.2992 & 0.099972 \tabularnewline
2 & 0.374578 & 2.622 & 0.005806 \tabularnewline
3 & -0.047594 & -0.3332 & 0.629782 \tabularnewline
4 & 0.010728 & 0.0751 & 0.470223 \tabularnewline
5 & -0.016408 & -0.1149 & 0.545487 \tabularnewline
6 & -0.344948 & -2.4146 & 0.990235 \tabularnewline
7 & -0.282177 & -1.9752 & 0.973056 \tabularnewline
8 & -0.006333 & -0.0443 & 0.517591 \tabularnewline
9 & -0.106144 & -0.743 & 0.769487 \tabularnewline
10 & 0.021902 & 0.1533 & 0.439389 \tabularnewline
11 & -0.113092 & -0.7916 & 0.783808 \tabularnewline
12 & 0.019559 & 0.1369 & 0.44583 \tabularnewline
13 & 0.028411 & 0.1989 & 0.42159 \tabularnewline
14 & 0.07592 & 0.5314 & 0.298758 \tabularnewline
15 & 0.020842 & 0.1459 & 0.442301 \tabularnewline
16 & 0.107337 & 0.7514 & 0.228015 \tabularnewline
17 & -0.033608 & -0.2353 & 0.592505 \tabularnewline
18 & -0.33624 & -2.3537 & 0.988678 \tabularnewline
19 & -0.193182 & -1.3523 & 0.908752 \tabularnewline
20 & 0.15678 & 1.0975 & 0.138902 \tabularnewline
21 & -0.035832 & -0.2508 & 0.598501 \tabularnewline
22 & 0.138374 & 0.9686 & 0.168747 \tabularnewline
23 & -0.036385 & -0.2547 & 0.599988 \tabularnewline
24 & 0.019847 & 0.1389 & 0.445037 \tabularnewline
25 & -0.005279 & -0.037 & 0.514664 \tabularnewline
26 & -0.065573 & -0.459 & 0.675873 \tabularnewline
27 & -0.0655 & -0.4585 & 0.675689 \tabularnewline
28 & -0.011415 & -0.0799 & 0.531682 \tabularnewline
29 & -0.034138 & -0.239 & 0.593935 \tabularnewline
30 & 0.128873 & 0.9021 & 0.185705 \tabularnewline
31 & -0.097914 & -0.6854 & 0.751839 \tabularnewline
32 & -0.023935 & -0.1675 & 0.566186 \tabularnewline
33 & -0.02962 & -0.2073 & 0.581698 \tabularnewline
34 & 0.017776 & 0.1244 & 0.450742 \tabularnewline
35 & -0.069487 & -0.4864 & 0.685578 \tabularnewline
36 & -0.044 & -0.308 & 0.620307 \tabularnewline
37 & -0.027493 & -0.1925 & 0.575908 \tabularnewline
38 & -0.003989 & -0.0279 & 0.511082 \tabularnewline
39 & -0.022383 & -0.1567 & 0.561929 \tabularnewline
40 & 0.067122 & 0.4699 & 0.320271 \tabularnewline
41 & -0.018051 & -0.1264 & 0.550017 \tabularnewline
42 & 0.030985 & 0.2169 & 0.414595 \tabularnewline
43 & -0.002549 & -0.0178 & 0.507081 \tabularnewline
44 & 0.005054 & 0.0354 & 0.48596 \tabularnewline
45 & -0.160143 & -1.121 & 0.866124 \tabularnewline
46 & -0.080401 & -0.5628 & 0.711934 \tabularnewline
47 & -0.03105 & -0.2173 & 0.58558 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4548&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]0.072686[/C][C]0.5088[/C][C]0.306587[/C][/ROW]
[ROW][C]1[/C][C]0.185604[/C][C]1.2992[/C][C]0.099972[/C][/ROW]
[ROW][C]2[/C][C]0.374578[/C][C]2.622[/C][C]0.005806[/C][/ROW]
[ROW][C]3[/C][C]-0.047594[/C][C]-0.3332[/C][C]0.629782[/C][/ROW]
[ROW][C]4[/C][C]0.010728[/C][C]0.0751[/C][C]0.470223[/C][/ROW]
[ROW][C]5[/C][C]-0.016408[/C][C]-0.1149[/C][C]0.545487[/C][/ROW]
[ROW][C]6[/C][C]-0.344948[/C][C]-2.4146[/C][C]0.990235[/C][/ROW]
[ROW][C]7[/C][C]-0.282177[/C][C]-1.9752[/C][C]0.973056[/C][/ROW]
[ROW][C]8[/C][C]-0.006333[/C][C]-0.0443[/C][C]0.517591[/C][/ROW]
[ROW][C]9[/C][C]-0.106144[/C][C]-0.743[/C][C]0.769487[/C][/ROW]
[ROW][C]10[/C][C]0.021902[/C][C]0.1533[/C][C]0.439389[/C][/ROW]
[ROW][C]11[/C][C]-0.113092[/C][C]-0.7916[/C][C]0.783808[/C][/ROW]
[ROW][C]12[/C][C]0.019559[/C][C]0.1369[/C][C]0.44583[/C][/ROW]
[ROW][C]13[/C][C]0.028411[/C][C]0.1989[/C][C]0.42159[/C][/ROW]
[ROW][C]14[/C][C]0.07592[/C][C]0.5314[/C][C]0.298758[/C][/ROW]
[ROW][C]15[/C][C]0.020842[/C][C]0.1459[/C][C]0.442301[/C][/ROW]
[ROW][C]16[/C][C]0.107337[/C][C]0.7514[/C][C]0.228015[/C][/ROW]
[ROW][C]17[/C][C]-0.033608[/C][C]-0.2353[/C][C]0.592505[/C][/ROW]
[ROW][C]18[/C][C]-0.33624[/C][C]-2.3537[/C][C]0.988678[/C][/ROW]
[ROW][C]19[/C][C]-0.193182[/C][C]-1.3523[/C][C]0.908752[/C][/ROW]
[ROW][C]20[/C][C]0.15678[/C][C]1.0975[/C][C]0.138902[/C][/ROW]
[ROW][C]21[/C][C]-0.035832[/C][C]-0.2508[/C][C]0.598501[/C][/ROW]
[ROW][C]22[/C][C]0.138374[/C][C]0.9686[/C][C]0.168747[/C][/ROW]
[ROW][C]23[/C][C]-0.036385[/C][C]-0.2547[/C][C]0.599988[/C][/ROW]
[ROW][C]24[/C][C]0.019847[/C][C]0.1389[/C][C]0.445037[/C][/ROW]
[ROW][C]25[/C][C]-0.005279[/C][C]-0.037[/C][C]0.514664[/C][/ROW]
[ROW][C]26[/C][C]-0.065573[/C][C]-0.459[/C][C]0.675873[/C][/ROW]
[ROW][C]27[/C][C]-0.0655[/C][C]-0.4585[/C][C]0.675689[/C][/ROW]
[ROW][C]28[/C][C]-0.011415[/C][C]-0.0799[/C][C]0.531682[/C][/ROW]
[ROW][C]29[/C][C]-0.034138[/C][C]-0.239[/C][C]0.593935[/C][/ROW]
[ROW][C]30[/C][C]0.128873[/C][C]0.9021[/C][C]0.185705[/C][/ROW]
[ROW][C]31[/C][C]-0.097914[/C][C]-0.6854[/C][C]0.751839[/C][/ROW]
[ROW][C]32[/C][C]-0.023935[/C][C]-0.1675[/C][C]0.566186[/C][/ROW]
[ROW][C]33[/C][C]-0.02962[/C][C]-0.2073[/C][C]0.581698[/C][/ROW]
[ROW][C]34[/C][C]0.017776[/C][C]0.1244[/C][C]0.450742[/C][/ROW]
[ROW][C]35[/C][C]-0.069487[/C][C]-0.4864[/C][C]0.685578[/C][/ROW]
[ROW][C]36[/C][C]-0.044[/C][C]-0.308[/C][C]0.620307[/C][/ROW]
[ROW][C]37[/C][C]-0.027493[/C][C]-0.1925[/C][C]0.575908[/C][/ROW]
[ROW][C]38[/C][C]-0.003989[/C][C]-0.0279[/C][C]0.511082[/C][/ROW]
[ROW][C]39[/C][C]-0.022383[/C][C]-0.1567[/C][C]0.561929[/C][/ROW]
[ROW][C]40[/C][C]0.067122[/C][C]0.4699[/C][C]0.320271[/C][/ROW]
[ROW][C]41[/C][C]-0.018051[/C][C]-0.1264[/C][C]0.550017[/C][/ROW]
[ROW][C]42[/C][C]0.030985[/C][C]0.2169[/C][C]0.414595[/C][/ROW]
[ROW][C]43[/C][C]-0.002549[/C][C]-0.0178[/C][C]0.507081[/C][/ROW]
[ROW][C]44[/C][C]0.005054[/C][C]0.0354[/C][C]0.48596[/C][/ROW]
[ROW][C]45[/C][C]-0.160143[/C][C]-1.121[/C][C]0.866124[/C][/ROW]
[ROW][C]46[/C][C]-0.080401[/C][C]-0.5628[/C][C]0.711934[/C][/ROW]
[ROW][C]47[/C][C]-0.03105[/C][C]-0.2173[/C][C]0.58558[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4548&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4548&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	0.072686	0.5088	0.306587
1	0.185604	1.2992	0.099972
2	0.374578	2.622	0.005806
3	-0.047594	-0.3332	0.629782
4	0.010728	0.0751	0.470223
5	-0.016408	-0.1149	0.545487
6	-0.344948	-2.4146	0.990235
7	-0.282177	-1.9752	0.973056
8	-0.006333	-0.0443	0.517591
9	-0.106144	-0.743	0.769487
10	0.021902	0.1533	0.439389
11	-0.113092	-0.7916	0.783808
12	0.019559	0.1369	0.44583
13	0.028411	0.1989	0.42159
14	0.07592	0.5314	0.298758
15	0.020842	0.1459	0.442301
16	0.107337	0.7514	0.228015
17	-0.033608	-0.2353	0.592505
18	-0.33624	-2.3537	0.988678
19	-0.193182	-1.3523	0.908752
20	0.15678	1.0975	0.138902
21	-0.035832	-0.2508	0.598501
22	0.138374	0.9686	0.168747
23	-0.036385	-0.2547	0.599988
24	0.019847	0.1389	0.445037
25	-0.005279	-0.037	0.514664
26	-0.065573	-0.459	0.675873
27	-0.0655	-0.4585	0.675689
28	-0.011415	-0.0799	0.531682
29	-0.034138	-0.239	0.593935
30	0.128873	0.9021	0.185705
31	-0.097914	-0.6854	0.751839
32	-0.023935	-0.1675	0.566186
33	-0.02962	-0.2073	0.581698
34	0.017776	0.1244	0.450742
35	-0.069487	-0.4864	0.685578
36	-0.044	-0.308	0.620307
37	-0.027493	-0.1925	0.575908
38	-0.003989	-0.0279	0.511082
39	-0.022383	-0.1567	0.561929
40	0.067122	0.4699	0.320271
41	-0.018051	-0.1264	0.550017
42	0.030985	0.2169	0.414595
43	-0.002549	-0.0178	0.507081
44	0.005054	0.0354	0.48596
45	-0.160143	-1.121	0.866124
46	-0.080401	-0.5628	0.711934
47	-0.03105	-0.2173	0.58558

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 = 1 ; par5 = 12 ;

Parameters (R input):

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