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*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 13 May 2009 09:43:22 -0600

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/2009/May/13/t1242229783bdeap0fvhi4qzdn.htm/, Retrieved Tue, 10 Feb 2026 09:43:40 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39861, Retrieved Tue, 10 Feb 2026 09:43:40 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

327

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

-       [(Partial) Autocorrelation Function] [maandelijks gem c...] [2009-05-13 15:43:22] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Boxplots

3,42
3,42
3,43
3,47
3,51
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,58
3,6
3,61
3,61
3,61
3,63
3,68
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,78
3,79
3,79
3,8
3,8
3,8
3,8
3,81
3,95
3,99
4
4,06
4,16
4,19
4,2
4,2
4,2
4,2
4,2
4,23
4,38
4,43
4,44
4,44
4,44
4,44
4,44
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,46
4,46
4,46
4,48
4,58
4,67
4,68
4,68

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=39861&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=39861&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39861&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	0.960835	8.153	0
2	0.917513	7.7854	0
3	0.873938	7.4156	0
4	0.836434	7.0974	0
5	0.805381	6.8339	0
6	0.775106	6.577	0
7	0.744102	6.3139	0
8	0.712004	6.0416	0
9	0.677619	5.7498	0
10	0.641108	5.44	0
11	0.603434	5.1203	1e-06
12	0.563885	4.7847	4e-06
13	0.52121	4.4226	1.7e-05
14	0.477277	4.0498	6.4e-05
15	0.435765	3.6976	0.000211
16	0.394399	3.3466	0.000651
17	0.353527	2.9998	0.001854
18	0.311439	2.6427	0.005043
19	0.26792	2.2734	0.012994
20	0.222956	1.8918	0.031267
21	0.177365	1.505	0.068351
22	0.131391	1.1149	0.134302
23	0.087669	0.7439	0.22968
24	0.052029	0.4415	0.330094
25	0.017752	0.1506	0.440344
26	-0.017237	-0.1463	0.442062
27	-0.053641	-0.4552	0.325183
28	-0.092189	-0.7823	0.218316
29	-0.132569	-1.1249	0.132187
30	-0.169488	-1.4382	0.077361
31	-0.205319	-1.7422	0.042873
32	-0.236795	-2.0093	0.024129
33	-0.265577	-2.2535	0.013637
34	-0.294692	-2.5005	0.007339
35	-0.322507	-2.7366	0.003907
36	-0.343184	-2.912	0.002389
37	-0.363539	-3.0847	0.001445
38	-0.377803	-3.2058	0.001005
39	-0.390875	-3.3167	0.000715
40	-0.404543	-3.4327	0.000497
41	-0.415453	-3.5252	0.00037
42	-0.421577	-3.5772	0.000313
43	-0.425682	-3.612	0.000279
44	-0.423888	-3.5968	0.000294
45	-0.422373	-3.584	0.000306
46	-0.421544	-3.5769	0.000313
47	-0.421461	-3.5762	0.000314
48	-0.42189	-3.5799	0.00031

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.960835 & 8.153 & 0 \tabularnewline
2 & 0.917513 & 7.7854 & 0 \tabularnewline
3 & 0.873938 & 7.4156 & 0 \tabularnewline
4 & 0.836434 & 7.0974 & 0 \tabularnewline
5 & 0.805381 & 6.8339 & 0 \tabularnewline
6 & 0.775106 & 6.577 & 0 \tabularnewline
7 & 0.744102 & 6.3139 & 0 \tabularnewline
8 & 0.712004 & 6.0416 & 0 \tabularnewline
9 & 0.677619 & 5.7498 & 0 \tabularnewline
10 & 0.641108 & 5.44 & 0 \tabularnewline
11 & 0.603434 & 5.1203 & 1e-06 \tabularnewline
12 & 0.563885 & 4.7847 & 4e-06 \tabularnewline
13 & 0.52121 & 4.4226 & 1.7e-05 \tabularnewline
14 & 0.477277 & 4.0498 & 6.4e-05 \tabularnewline
15 & 0.435765 & 3.6976 & 0.000211 \tabularnewline
16 & 0.394399 & 3.3466 & 0.000651 \tabularnewline
17 & 0.353527 & 2.9998 & 0.001854 \tabularnewline
18 & 0.311439 & 2.6427 & 0.005043 \tabularnewline
19 & 0.26792 & 2.2734 & 0.012994 \tabularnewline
20 & 0.222956 & 1.8918 & 0.031267 \tabularnewline
21 & 0.177365 & 1.505 & 0.068351 \tabularnewline
22 & 0.131391 & 1.1149 & 0.134302 \tabularnewline
23 & 0.087669 & 0.7439 & 0.22968 \tabularnewline
24 & 0.052029 & 0.4415 & 0.330094 \tabularnewline
25 & 0.017752 & 0.1506 & 0.440344 \tabularnewline
26 & -0.017237 & -0.1463 & 0.442062 \tabularnewline
27 & -0.053641 & -0.4552 & 0.325183 \tabularnewline
28 & -0.092189 & -0.7823 & 0.218316 \tabularnewline
29 & -0.132569 & -1.1249 & 0.132187 \tabularnewline
30 & -0.169488 & -1.4382 & 0.077361 \tabularnewline
31 & -0.205319 & -1.7422 & 0.042873 \tabularnewline
32 & -0.236795 & -2.0093 & 0.024129 \tabularnewline
33 & -0.265577 & -2.2535 & 0.013637 \tabularnewline
34 & -0.294692 & -2.5005 & 0.007339 \tabularnewline
35 & -0.322507 & -2.7366 & 0.003907 \tabularnewline
36 & -0.343184 & -2.912 & 0.002389 \tabularnewline
37 & -0.363539 & -3.0847 & 0.001445 \tabularnewline
38 & -0.377803 & -3.2058 & 0.001005 \tabularnewline
39 & -0.390875 & -3.3167 & 0.000715 \tabularnewline
40 & -0.404543 & -3.4327 & 0.000497 \tabularnewline
41 & -0.415453 & -3.5252 & 0.00037 \tabularnewline
42 & -0.421577 & -3.5772 & 0.000313 \tabularnewline
43 & -0.425682 & -3.612 & 0.000279 \tabularnewline
44 & -0.423888 & -3.5968 & 0.000294 \tabularnewline
45 & -0.422373 & -3.584 & 0.000306 \tabularnewline
46 & -0.421544 & -3.5769 & 0.000313 \tabularnewline
47 & -0.421461 & -3.5762 & 0.000314 \tabularnewline
48 & -0.42189 & -3.5799 & 0.00031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39861&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]0.960835[/C][C]8.153[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.917513[/C][C]7.7854[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.873938[/C][C]7.4156[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.836434[/C][C]7.0974[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.805381[/C][C]6.8339[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.775106[/C][C]6.577[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.744102[/C][C]6.3139[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.712004[/C][C]6.0416[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.677619[/C][C]5.7498[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.641108[/C][C]5.44[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.603434[/C][C]5.1203[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.563885[/C][C]4.7847[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]0.52121[/C][C]4.4226[/C][C]1.7e-05[/C][/ROW]
[ROW][C]14[/C][C]0.477277[/C][C]4.0498[/C][C]6.4e-05[/C][/ROW]
[ROW][C]15[/C][C]0.435765[/C][C]3.6976[/C][C]0.000211[/C][/ROW]
[ROW][C]16[/C][C]0.394399[/C][C]3.3466[/C][C]0.000651[/C][/ROW]
[ROW][C]17[/C][C]0.353527[/C][C]2.9998[/C][C]0.001854[/C][/ROW]
[ROW][C]18[/C][C]0.311439[/C][C]2.6427[/C][C]0.005043[/C][/ROW]
[ROW][C]19[/C][C]0.26792[/C][C]2.2734[/C][C]0.012994[/C][/ROW]
[ROW][C]20[/C][C]0.222956[/C][C]1.8918[/C][C]0.031267[/C][/ROW]
[ROW][C]21[/C][C]0.177365[/C][C]1.505[/C][C]0.068351[/C][/ROW]
[ROW][C]22[/C][C]0.131391[/C][C]1.1149[/C][C]0.134302[/C][/ROW]
[ROW][C]23[/C][C]0.087669[/C][C]0.7439[/C][C]0.22968[/C][/ROW]
[ROW][C]24[/C][C]0.052029[/C][C]0.4415[/C][C]0.330094[/C][/ROW]
[ROW][C]25[/C][C]0.017752[/C][C]0.1506[/C][C]0.440344[/C][/ROW]
[ROW][C]26[/C][C]-0.017237[/C][C]-0.1463[/C][C]0.442062[/C][/ROW]
[ROW][C]27[/C][C]-0.053641[/C][C]-0.4552[/C][C]0.325183[/C][/ROW]
[ROW][C]28[/C][C]-0.092189[/C][C]-0.7823[/C][C]0.218316[/C][/ROW]
[ROW][C]29[/C][C]-0.132569[/C][C]-1.1249[/C][C]0.132187[/C][/ROW]
[ROW][C]30[/C][C]-0.169488[/C][C]-1.4382[/C][C]0.077361[/C][/ROW]
[ROW][C]31[/C][C]-0.205319[/C][C]-1.7422[/C][C]0.042873[/C][/ROW]
[ROW][C]32[/C][C]-0.236795[/C][C]-2.0093[/C][C]0.024129[/C][/ROW]
[ROW][C]33[/C][C]-0.265577[/C][C]-2.2535[/C][C]0.013637[/C][/ROW]
[ROW][C]34[/C][C]-0.294692[/C][C]-2.5005[/C][C]0.007339[/C][/ROW]
[ROW][C]35[/C][C]-0.322507[/C][C]-2.7366[/C][C]0.003907[/C][/ROW]
[ROW][C]36[/C][C]-0.343184[/C][C]-2.912[/C][C]0.002389[/C][/ROW]
[ROW][C]37[/C][C]-0.363539[/C][C]-3.0847[/C][C]0.001445[/C][/ROW]
[ROW][C]38[/C][C]-0.377803[/C][C]-3.2058[/C][C]0.001005[/C][/ROW]
[ROW][C]39[/C][C]-0.390875[/C][C]-3.3167[/C][C]0.000715[/C][/ROW]
[ROW][C]40[/C][C]-0.404543[/C][C]-3.4327[/C][C]0.000497[/C][/ROW]
[ROW][C]41[/C][C]-0.415453[/C][C]-3.5252[/C][C]0.00037[/C][/ROW]
[ROW][C]42[/C][C]-0.421577[/C][C]-3.5772[/C][C]0.000313[/C][/ROW]
[ROW][C]43[/C][C]-0.425682[/C][C]-3.612[/C][C]0.000279[/C][/ROW]
[ROW][C]44[/C][C]-0.423888[/C][C]-3.5968[/C][C]0.000294[/C][/ROW]
[ROW][C]45[/C][C]-0.422373[/C][C]-3.584[/C][C]0.000306[/C][/ROW]
[ROW][C]46[/C][C]-0.421544[/C][C]-3.5769[/C][C]0.000313[/C][/ROW]
[ROW][C]47[/C][C]-0.421461[/C][C]-3.5762[/C][C]0.000314[/C][/ROW]
[ROW][C]48[/C][C]-0.42189[/C][C]-3.5799[/C][C]0.00031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39861&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39861&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	0.960835	8.153	0
2	0.917513	7.7854	0
3	0.873938	7.4156	0
4	0.836434	7.0974	0
5	0.805381	6.8339	0
6	0.775106	6.577	0
7	0.744102	6.3139	0
8	0.712004	6.0416	0
9	0.677619	5.7498	0
10	0.641108	5.44	0
11	0.603434	5.1203	1e-06
12	0.563885	4.7847	4e-06
13	0.52121	4.4226	1.7e-05
14	0.477277	4.0498	6.4e-05
15	0.435765	3.6976	0.000211
16	0.394399	3.3466	0.000651
17	0.353527	2.9998	0.001854
18	0.311439	2.6427	0.005043
19	0.26792	2.2734	0.012994
20	0.222956	1.8918	0.031267
21	0.177365	1.505	0.068351
22	0.131391	1.1149	0.134302
23	0.087669	0.7439	0.22968
24	0.052029	0.4415	0.330094
25	0.017752	0.1506	0.440344
26	-0.017237	-0.1463	0.442062
27	-0.053641	-0.4552	0.325183
28	-0.092189	-0.7823	0.218316
29	-0.132569	-1.1249	0.132187
30	-0.169488	-1.4382	0.077361
31	-0.205319	-1.7422	0.042873
32	-0.236795	-2.0093	0.024129
33	-0.265577	-2.2535	0.013637
34	-0.294692	-2.5005	0.007339
35	-0.322507	-2.7366	0.003907
36	-0.343184	-2.912	0.002389
37	-0.363539	-3.0847	0.001445
38	-0.377803	-3.2058	0.001005
39	-0.390875	-3.3167	0.000715
40	-0.404543	-3.4327	0.000497
41	-0.415453	-3.5252	0.00037
42	-0.421577	-3.5772	0.000313
43	-0.425682	-3.612	0.000279
44	-0.423888	-3.5968	0.000294
45	-0.422373	-3.584	0.000306
46	-0.421544	-3.5769	0.000313
47	-0.421461	-3.5762	0.000314
48	-0.42189	-3.5799	0.00031

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.960835	8.153	0
2	-0.074121	-0.6289	0.26569
3	-0.023124	-0.1962	0.422499
4	0.056466	0.4791	0.316649
5	0.055985	0.4751	0.318094
6	-0.016283	-0.1382	0.445248
7	-0.022974	-0.1949	0.422995
8	-0.020096	-0.1705	0.432538
9	-0.041083	-0.3486	0.364202
10	-0.045974	-0.3901	0.348807
11	-0.036596	-0.3105	0.378528
12	-0.051156	-0.4341	0.332768
13	-0.071746	-0.6088	0.272293
14	-0.04701	-0.3989	0.345576
15	-0.001493	-0.0127	0.494963
16	-0.039764	-0.3374	0.368394
17	-0.032317	-0.2742	0.392352
18	-0.044545	-0.378	0.353279
19	-0.044754	-0.3797	0.352625
20	-0.050287	-0.4267	0.335434
21	-0.042743	-0.3627	0.358951
22	-0.04495	-0.3814	0.35201
23	-0.014482	-0.1229	0.451272
24	0.063637	0.54	0.29544
25	-0.02514	-0.2133	0.415839
26	-0.042471	-0.3604	0.35981
27	-0.035638	-0.3024	0.381609
28	-0.0467	-0.3963	0.346541
29	-0.060212	-0.5109	0.305487
30	0.002919	0.0248	0.490153
31	-0.035428	-0.3006	0.382287
32	0.002771	0.0235	0.490652
33	-0.011642	-0.0988	0.46079
34	-0.044099	-0.3742	0.354682
35	-0.02182	-0.1851	0.426816
36	0.057117	0.4847	0.314696
37	-0.037159	-0.3153	0.376722
38	0.052674	0.447	0.328126
39	-0.006353	-0.0539	0.478579
40	-0.029148	-0.2473	0.40268
41	0.011454	0.0972	0.461422
42	0.036946	0.3135	0.377405
43	-0.013411	-0.1138	0.454857
44	0.049307	0.4184	0.338455
45	-0.027193	-0.2307	0.409087
46	-0.019091	-0.162	0.435882
47	-0.017274	-0.1466	0.44194
48	-0.032243	-0.2736	0.392592

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.960835 & 8.153 & 0 \tabularnewline
2 & -0.074121 & -0.6289 & 0.26569 \tabularnewline
3 & -0.023124 & -0.1962 & 0.422499 \tabularnewline
4 & 0.056466 & 0.4791 & 0.316649 \tabularnewline
5 & 0.055985 & 0.4751 & 0.318094 \tabularnewline
6 & -0.016283 & -0.1382 & 0.445248 \tabularnewline
7 & -0.022974 & -0.1949 & 0.422995 \tabularnewline
8 & -0.020096 & -0.1705 & 0.432538 \tabularnewline
9 & -0.041083 & -0.3486 & 0.364202 \tabularnewline
10 & -0.045974 & -0.3901 & 0.348807 \tabularnewline
11 & -0.036596 & -0.3105 & 0.378528 \tabularnewline
12 & -0.051156 & -0.4341 & 0.332768 \tabularnewline
13 & -0.071746 & -0.6088 & 0.272293 \tabularnewline
14 & -0.04701 & -0.3989 & 0.345576 \tabularnewline
15 & -0.001493 & -0.0127 & 0.494963 \tabularnewline
16 & -0.039764 & -0.3374 & 0.368394 \tabularnewline
17 & -0.032317 & -0.2742 & 0.392352 \tabularnewline
18 & -0.044545 & -0.378 & 0.353279 \tabularnewline
19 & -0.044754 & -0.3797 & 0.352625 \tabularnewline
20 & -0.050287 & -0.4267 & 0.335434 \tabularnewline
21 & -0.042743 & -0.3627 & 0.358951 \tabularnewline
22 & -0.04495 & -0.3814 & 0.35201 \tabularnewline
23 & -0.014482 & -0.1229 & 0.451272 \tabularnewline
24 & 0.063637 & 0.54 & 0.29544 \tabularnewline
25 & -0.02514 & -0.2133 & 0.415839 \tabularnewline
26 & -0.042471 & -0.3604 & 0.35981 \tabularnewline
27 & -0.035638 & -0.3024 & 0.381609 \tabularnewline
28 & -0.0467 & -0.3963 & 0.346541 \tabularnewline
29 & -0.060212 & -0.5109 & 0.305487 \tabularnewline
30 & 0.002919 & 0.0248 & 0.490153 \tabularnewline
31 & -0.035428 & -0.3006 & 0.382287 \tabularnewline
32 & 0.002771 & 0.0235 & 0.490652 \tabularnewline
33 & -0.011642 & -0.0988 & 0.46079 \tabularnewline
34 & -0.044099 & -0.3742 & 0.354682 \tabularnewline
35 & -0.02182 & -0.1851 & 0.426816 \tabularnewline
36 & 0.057117 & 0.4847 & 0.314696 \tabularnewline
37 & -0.037159 & -0.3153 & 0.376722 \tabularnewline
38 & 0.052674 & 0.447 & 0.328126 \tabularnewline
39 & -0.006353 & -0.0539 & 0.478579 \tabularnewline
40 & -0.029148 & -0.2473 & 0.40268 \tabularnewline
41 & 0.011454 & 0.0972 & 0.461422 \tabularnewline
42 & 0.036946 & 0.3135 & 0.377405 \tabularnewline
43 & -0.013411 & -0.1138 & 0.454857 \tabularnewline
44 & 0.049307 & 0.4184 & 0.338455 \tabularnewline
45 & -0.027193 & -0.2307 & 0.409087 \tabularnewline
46 & -0.019091 & -0.162 & 0.435882 \tabularnewline
47 & -0.017274 & -0.1466 & 0.44194 \tabularnewline
48 & -0.032243 & -0.2736 & 0.392592 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39861&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]0.960835[/C][C]8.153[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.074121[/C][C]-0.6289[/C][C]0.26569[/C][/ROW]
[ROW][C]3[/C][C]-0.023124[/C][C]-0.1962[/C][C]0.422499[/C][/ROW]
[ROW][C]4[/C][C]0.056466[/C][C]0.4791[/C][C]0.316649[/C][/ROW]
[ROW][C]5[/C][C]0.055985[/C][C]0.4751[/C][C]0.318094[/C][/ROW]
[ROW][C]6[/C][C]-0.016283[/C][C]-0.1382[/C][C]0.445248[/C][/ROW]
[ROW][C]7[/C][C]-0.022974[/C][C]-0.1949[/C][C]0.422995[/C][/ROW]
[ROW][C]8[/C][C]-0.020096[/C][C]-0.1705[/C][C]0.432538[/C][/ROW]
[ROW][C]9[/C][C]-0.041083[/C][C]-0.3486[/C][C]0.364202[/C][/ROW]
[ROW][C]10[/C][C]-0.045974[/C][C]-0.3901[/C][C]0.348807[/C][/ROW]
[ROW][C]11[/C][C]-0.036596[/C][C]-0.3105[/C][C]0.378528[/C][/ROW]
[ROW][C]12[/C][C]-0.051156[/C][C]-0.4341[/C][C]0.332768[/C][/ROW]
[ROW][C]13[/C][C]-0.071746[/C][C]-0.6088[/C][C]0.272293[/C][/ROW]
[ROW][C]14[/C][C]-0.04701[/C][C]-0.3989[/C][C]0.345576[/C][/ROW]
[ROW][C]15[/C][C]-0.001493[/C][C]-0.0127[/C][C]0.494963[/C][/ROW]
[ROW][C]16[/C][C]-0.039764[/C][C]-0.3374[/C][C]0.368394[/C][/ROW]
[ROW][C]17[/C][C]-0.032317[/C][C]-0.2742[/C][C]0.392352[/C][/ROW]
[ROW][C]18[/C][C]-0.044545[/C][C]-0.378[/C][C]0.353279[/C][/ROW]
[ROW][C]19[/C][C]-0.044754[/C][C]-0.3797[/C][C]0.352625[/C][/ROW]
[ROW][C]20[/C][C]-0.050287[/C][C]-0.4267[/C][C]0.335434[/C][/ROW]
[ROW][C]21[/C][C]-0.042743[/C][C]-0.3627[/C][C]0.358951[/C][/ROW]
[ROW][C]22[/C][C]-0.04495[/C][C]-0.3814[/C][C]0.35201[/C][/ROW]
[ROW][C]23[/C][C]-0.014482[/C][C]-0.1229[/C][C]0.451272[/C][/ROW]
[ROW][C]24[/C][C]0.063637[/C][C]0.54[/C][C]0.29544[/C][/ROW]
[ROW][C]25[/C][C]-0.02514[/C][C]-0.2133[/C][C]0.415839[/C][/ROW]
[ROW][C]26[/C][C]-0.042471[/C][C]-0.3604[/C][C]0.35981[/C][/ROW]
[ROW][C]27[/C][C]-0.035638[/C][C]-0.3024[/C][C]0.381609[/C][/ROW]
[ROW][C]28[/C][C]-0.0467[/C][C]-0.3963[/C][C]0.346541[/C][/ROW]
[ROW][C]29[/C][C]-0.060212[/C][C]-0.5109[/C][C]0.305487[/C][/ROW]
[ROW][C]30[/C][C]0.002919[/C][C]0.0248[/C][C]0.490153[/C][/ROW]
[ROW][C]31[/C][C]-0.035428[/C][C]-0.3006[/C][C]0.382287[/C][/ROW]
[ROW][C]32[/C][C]0.002771[/C][C]0.0235[/C][C]0.490652[/C][/ROW]
[ROW][C]33[/C][C]-0.011642[/C][C]-0.0988[/C][C]0.46079[/C][/ROW]
[ROW][C]34[/C][C]-0.044099[/C][C]-0.3742[/C][C]0.354682[/C][/ROW]
[ROW][C]35[/C][C]-0.02182[/C][C]-0.1851[/C][C]0.426816[/C][/ROW]
[ROW][C]36[/C][C]0.057117[/C][C]0.4847[/C][C]0.314696[/C][/ROW]
[ROW][C]37[/C][C]-0.037159[/C][C]-0.3153[/C][C]0.376722[/C][/ROW]
[ROW][C]38[/C][C]0.052674[/C][C]0.447[/C][C]0.328126[/C][/ROW]
[ROW][C]39[/C][C]-0.006353[/C][C]-0.0539[/C][C]0.478579[/C][/ROW]
[ROW][C]40[/C][C]-0.029148[/C][C]-0.2473[/C][C]0.40268[/C][/ROW]
[ROW][C]41[/C][C]0.011454[/C][C]0.0972[/C][C]0.461422[/C][/ROW]
[ROW][C]42[/C][C]0.036946[/C][C]0.3135[/C][C]0.377405[/C][/ROW]
[ROW][C]43[/C][C]-0.013411[/C][C]-0.1138[/C][C]0.454857[/C][/ROW]
[ROW][C]44[/C][C]0.049307[/C][C]0.4184[/C][C]0.338455[/C][/ROW]
[ROW][C]45[/C][C]-0.027193[/C][C]-0.2307[/C][C]0.409087[/C][/ROW]
[ROW][C]46[/C][C]-0.019091[/C][C]-0.162[/C][C]0.435882[/C][/ROW]
[ROW][C]47[/C][C]-0.017274[/C][C]-0.1466[/C][C]0.44194[/C][/ROW]
[ROW][C]48[/C][C]-0.032243[/C][C]-0.2736[/C][C]0.392592[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39861&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39861&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	0.960835	8.153	0
2	-0.074121	-0.6289	0.26569
3	-0.023124	-0.1962	0.422499
4	0.056466	0.4791	0.316649
5	0.055985	0.4751	0.318094
6	-0.016283	-0.1382	0.445248
7	-0.022974	-0.1949	0.422995
8	-0.020096	-0.1705	0.432538
9	-0.041083	-0.3486	0.364202
10	-0.045974	-0.3901	0.348807
11	-0.036596	-0.3105	0.378528
12	-0.051156	-0.4341	0.332768
13	-0.071746	-0.6088	0.272293
14	-0.04701	-0.3989	0.345576
15	-0.001493	-0.0127	0.494963
16	-0.039764	-0.3374	0.368394
17	-0.032317	-0.2742	0.392352
18	-0.044545	-0.378	0.353279
19	-0.044754	-0.3797	0.352625
20	-0.050287	-0.4267	0.335434
21	-0.042743	-0.3627	0.358951
22	-0.04495	-0.3814	0.35201
23	-0.014482	-0.1229	0.451272
24	0.063637	0.54	0.29544
25	-0.02514	-0.2133	0.415839
26	-0.042471	-0.3604	0.35981
27	-0.035638	-0.3024	0.381609
28	-0.0467	-0.3963	0.346541
29	-0.060212	-0.5109	0.305487
30	0.002919	0.0248	0.490153
31	-0.035428	-0.3006	0.382287
32	0.002771	0.0235	0.490652
33	-0.011642	-0.0988	0.46079
34	-0.044099	-0.3742	0.354682
35	-0.02182	-0.1851	0.426816
36	0.057117	0.4847	0.314696
37	-0.037159	-0.3153	0.376722
38	0.052674	0.447	0.328126
39	-0.006353	-0.0539	0.478579
40	-0.029148	-0.2473	0.40268
41	0.011454	0.0972	0.461422
42	0.036946	0.3135	0.377405
43	-0.013411	-0.1138	0.454857
44	0.049307	0.4184	0.338455
45	-0.027193	-0.2307	0.409087
46	-0.019091	-0.162	0.435882
47	-0.017274	-0.1466	0.44194
48	-0.032243	-0.2736	0.392592

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