Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 16 Dec 2007 13:43:42 -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/Dec/16/t1197836844x1lt2tqhzyj5vfx.htm/, Retrieved Thu, 02 May 2024 08:20:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4258, Retrieved Thu, 02 May 2024 08:20:29 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

156

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

-       [(Partial) Autocorrelation Function] [Paper] [2007-12-16 20:43:42] [3463f71ebce131edf0c83e066f45702c] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4258&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4258&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4258&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	7	0
1	0.092144	0.645	0.260966
2	-0.01724	-0.1207	0.547782
3	0.224639	1.5725	0.061138
4	-0.043175	-0.3022	0.618119
5	0.019744	0.1382	0.445321
6	0.176366	1.2346	0.111441
7	-0.132289	-0.926	0.820513
8	0.011886	0.0832	0.467015
9	0.186011	1.3021	0.099488
10	-0.187299	-1.3111	0.902031
11	-0.126394	-0.8848	0.809696
12	-0.141292	-0.989	0.83625
13	-0.118849	-0.8319	0.795261
14	0.094644	0.6625	0.255375
15	-0.112547	-0.7878	0.782704
16	-0.122586	-0.8581	0.802493
17	0.136814	0.9577	0.171458
18	-0.067802	-0.4746	0.681416
19	-0.171371	-1.1996	0.881968
20	0.047039	0.3293	0.371675
21	0.03204	0.2243	0.411737
22	-0.117218	-0.8205	0.792055
23	0.122444	0.8571	0.197779
24	-0.202072	-1.4145	0.918232
25	-0.151054	-1.0574	0.852238
26	0.063362	0.4435	0.329666
27	0.020456	0.1432	0.443363
28	-0.050171	-0.3512	0.636528
29	0.089649	0.6275	0.266609
30	0.050362	0.3525	0.362975
31	0.033114	0.2318	0.408829
32	0.031692	0.2218	0.412678
33	-0.157199	-1.1004	0.861731
34	0.065517	0.4586	0.324268
35	0.065256	0.4568	0.32492
36	-0.016267	-0.1139	0.545096
37	0.132885	0.9302	0.178416
38	0.008108	0.0568	0.477484
39	-0.097981	-0.6859	0.751985
40	0.041654	0.2916	0.385921
41	-0.069455	-0.4862	0.685498
42	-0.108466	-0.7593	0.774334
43	0.085985	0.6019	0.275009
44	0.028111	0.1968	0.422409
45	-0.071429	-0.5	0.690344
46	0.015631	0.1094	0.456658
47	-0.037356	-0.2615	0.602595
48	-0.056041	-0.3923	0.651727
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7 & 0 \tabularnewline
1 & 0.092144 & 0.645 & 0.260966 \tabularnewline
2 & -0.01724 & -0.1207 & 0.547782 \tabularnewline
3 & 0.224639 & 1.5725 & 0.061138 \tabularnewline
4 & -0.043175 & -0.3022 & 0.618119 \tabularnewline
5 & 0.019744 & 0.1382 & 0.445321 \tabularnewline
6 & 0.176366 & 1.2346 & 0.111441 \tabularnewline
7 & -0.132289 & -0.926 & 0.820513 \tabularnewline
8 & 0.011886 & 0.0832 & 0.467015 \tabularnewline
9 & 0.186011 & 1.3021 & 0.099488 \tabularnewline
10 & -0.187299 & -1.3111 & 0.902031 \tabularnewline
11 & -0.126394 & -0.8848 & 0.809696 \tabularnewline
12 & -0.141292 & -0.989 & 0.83625 \tabularnewline
13 & -0.118849 & -0.8319 & 0.795261 \tabularnewline
14 & 0.094644 & 0.6625 & 0.255375 \tabularnewline
15 & -0.112547 & -0.7878 & 0.782704 \tabularnewline
16 & -0.122586 & -0.8581 & 0.802493 \tabularnewline
17 & 0.136814 & 0.9577 & 0.171458 \tabularnewline
18 & -0.067802 & -0.4746 & 0.681416 \tabularnewline
19 & -0.171371 & -1.1996 & 0.881968 \tabularnewline
20 & 0.047039 & 0.3293 & 0.371675 \tabularnewline
21 & 0.03204 & 0.2243 & 0.411737 \tabularnewline
22 & -0.117218 & -0.8205 & 0.792055 \tabularnewline
23 & 0.122444 & 0.8571 & 0.197779 \tabularnewline
24 & -0.202072 & -1.4145 & 0.918232 \tabularnewline
25 & -0.151054 & -1.0574 & 0.852238 \tabularnewline
26 & 0.063362 & 0.4435 & 0.329666 \tabularnewline
27 & 0.020456 & 0.1432 & 0.443363 \tabularnewline
28 & -0.050171 & -0.3512 & 0.636528 \tabularnewline
29 & 0.089649 & 0.6275 & 0.266609 \tabularnewline
30 & 0.050362 & 0.3525 & 0.362975 \tabularnewline
31 & 0.033114 & 0.2318 & 0.408829 \tabularnewline
32 & 0.031692 & 0.2218 & 0.412678 \tabularnewline
33 & -0.157199 & -1.1004 & 0.861731 \tabularnewline
34 & 0.065517 & 0.4586 & 0.324268 \tabularnewline
35 & 0.065256 & 0.4568 & 0.32492 \tabularnewline
36 & -0.016267 & -0.1139 & 0.545096 \tabularnewline
37 & 0.132885 & 0.9302 & 0.178416 \tabularnewline
38 & 0.008108 & 0.0568 & 0.477484 \tabularnewline
39 & -0.097981 & -0.6859 & 0.751985 \tabularnewline
40 & 0.041654 & 0.2916 & 0.385921 \tabularnewline
41 & -0.069455 & -0.4862 & 0.685498 \tabularnewline
42 & -0.108466 & -0.7593 & 0.774334 \tabularnewline
43 & 0.085985 & 0.6019 & 0.275009 \tabularnewline
44 & 0.028111 & 0.1968 & 0.422409 \tabularnewline
45 & -0.071429 & -0.5 & 0.690344 \tabularnewline
46 & 0.015631 & 0.1094 & 0.456658 \tabularnewline
47 & -0.037356 & -0.2615 & 0.602595 \tabularnewline
48 & -0.056041 & -0.3923 & 0.651727 \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4258&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]0.092144[/C][C]0.645[/C][C]0.260966[/C][/ROW]
[ROW][C]2[/C][C]-0.01724[/C][C]-0.1207[/C][C]0.547782[/C][/ROW]
[ROW][C]3[/C][C]0.224639[/C][C]1.5725[/C][C]0.061138[/C][/ROW]
[ROW][C]4[/C][C]-0.043175[/C][C]-0.3022[/C][C]0.618119[/C][/ROW]
[ROW][C]5[/C][C]0.019744[/C][C]0.1382[/C][C]0.445321[/C][/ROW]
[ROW][C]6[/C][C]0.176366[/C][C]1.2346[/C][C]0.111441[/C][/ROW]
[ROW][C]7[/C][C]-0.132289[/C][C]-0.926[/C][C]0.820513[/C][/ROW]
[ROW][C]8[/C][C]0.011886[/C][C]0.0832[/C][C]0.467015[/C][/ROW]
[ROW][C]9[/C][C]0.186011[/C][C]1.3021[/C][C]0.099488[/C][/ROW]
[ROW][C]10[/C][C]-0.187299[/C][C]-1.3111[/C][C]0.902031[/C][/ROW]
[ROW][C]11[/C][C]-0.126394[/C][C]-0.8848[/C][C]0.809696[/C][/ROW]
[ROW][C]12[/C][C]-0.141292[/C][C]-0.989[/C][C]0.83625[/C][/ROW]
[ROW][C]13[/C][C]-0.118849[/C][C]-0.8319[/C][C]0.795261[/C][/ROW]
[ROW][C]14[/C][C]0.094644[/C][C]0.6625[/C][C]0.255375[/C][/ROW]
[ROW][C]15[/C][C]-0.112547[/C][C]-0.7878[/C][C]0.782704[/C][/ROW]
[ROW][C]16[/C][C]-0.122586[/C][C]-0.8581[/C][C]0.802493[/C][/ROW]
[ROW][C]17[/C][C]0.136814[/C][C]0.9577[/C][C]0.171458[/C][/ROW]
[ROW][C]18[/C][C]-0.067802[/C][C]-0.4746[/C][C]0.681416[/C][/ROW]
[ROW][C]19[/C][C]-0.171371[/C][C]-1.1996[/C][C]0.881968[/C][/ROW]
[ROW][C]20[/C][C]0.047039[/C][C]0.3293[/C][C]0.371675[/C][/ROW]
[ROW][C]21[/C][C]0.03204[/C][C]0.2243[/C][C]0.411737[/C][/ROW]
[ROW][C]22[/C][C]-0.117218[/C][C]-0.8205[/C][C]0.792055[/C][/ROW]
[ROW][C]23[/C][C]0.122444[/C][C]0.8571[/C][C]0.197779[/C][/ROW]
[ROW][C]24[/C][C]-0.202072[/C][C]-1.4145[/C][C]0.918232[/C][/ROW]
[ROW][C]25[/C][C]-0.151054[/C][C]-1.0574[/C][C]0.852238[/C][/ROW]
[ROW][C]26[/C][C]0.063362[/C][C]0.4435[/C][C]0.329666[/C][/ROW]
[ROW][C]27[/C][C]0.020456[/C][C]0.1432[/C][C]0.443363[/C][/ROW]
[ROW][C]28[/C][C]-0.050171[/C][C]-0.3512[/C][C]0.636528[/C][/ROW]
[ROW][C]29[/C][C]0.089649[/C][C]0.6275[/C][C]0.266609[/C][/ROW]
[ROW][C]30[/C][C]0.050362[/C][C]0.3525[/C][C]0.362975[/C][/ROW]
[ROW][C]31[/C][C]0.033114[/C][C]0.2318[/C][C]0.408829[/C][/ROW]
[ROW][C]32[/C][C]0.031692[/C][C]0.2218[/C][C]0.412678[/C][/ROW]
[ROW][C]33[/C][C]-0.157199[/C][C]-1.1004[/C][C]0.861731[/C][/ROW]
[ROW][C]34[/C][C]0.065517[/C][C]0.4586[/C][C]0.324268[/C][/ROW]
[ROW][C]35[/C][C]0.065256[/C][C]0.4568[/C][C]0.32492[/C][/ROW]
[ROW][C]36[/C][C]-0.016267[/C][C]-0.1139[/C][C]0.545096[/C][/ROW]
[ROW][C]37[/C][C]0.132885[/C][C]0.9302[/C][C]0.178416[/C][/ROW]
[ROW][C]38[/C][C]0.008108[/C][C]0.0568[/C][C]0.477484[/C][/ROW]
[ROW][C]39[/C][C]-0.097981[/C][C]-0.6859[/C][C]0.751985[/C][/ROW]
[ROW][C]40[/C][C]0.041654[/C][C]0.2916[/C][C]0.385921[/C][/ROW]
[ROW][C]41[/C][C]-0.069455[/C][C]-0.4862[/C][C]0.685498[/C][/ROW]
[ROW][C]42[/C][C]-0.108466[/C][C]-0.7593[/C][C]0.774334[/C][/ROW]
[ROW][C]43[/C][C]0.085985[/C][C]0.6019[/C][C]0.275009[/C][/ROW]
[ROW][C]44[/C][C]0.028111[/C][C]0.1968[/C][C]0.422409[/C][/ROW]
[ROW][C]45[/C][C]-0.071429[/C][C]-0.5[/C][C]0.690344[/C][/ROW]
[ROW][C]46[/C][C]0.015631[/C][C]0.1094[/C][C]0.456658[/C][/ROW]
[ROW][C]47[/C][C]-0.037356[/C][C]-0.2615[/C][C]0.602595[/C][/ROW]
[ROW][C]48[/C][C]-0.056041[/C][C]-0.3923[/C][C]0.651727[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4258&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4258&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	0.092144	0.645	0.260966
2	-0.01724	-0.1207	0.547782
3	0.224639	1.5725	0.061138
4	-0.043175	-0.3022	0.618119
5	0.019744	0.1382	0.445321
6	0.176366	1.2346	0.111441
7	-0.132289	-0.926	0.820513
8	0.011886	0.0832	0.467015
9	0.186011	1.3021	0.099488
10	-0.187299	-1.3111	0.902031
11	-0.126394	-0.8848	0.809696
12	-0.141292	-0.989	0.83625
13	-0.118849	-0.8319	0.795261
14	0.094644	0.6625	0.255375
15	-0.112547	-0.7878	0.782704
16	-0.122586	-0.8581	0.802493
17	0.136814	0.9577	0.171458
18	-0.067802	-0.4746	0.681416
19	-0.171371	-1.1996	0.881968
20	0.047039	0.3293	0.371675
21	0.03204	0.2243	0.411737
22	-0.117218	-0.8205	0.792055
23	0.122444	0.8571	0.197779
24	-0.202072	-1.4145	0.918232
25	-0.151054	-1.0574	0.852238
26	0.063362	0.4435	0.329666
27	0.020456	0.1432	0.443363
28	-0.050171	-0.3512	0.636528
29	0.089649	0.6275	0.266609
30	0.050362	0.3525	0.362975
31	0.033114	0.2318	0.408829
32	0.031692	0.2218	0.412678
33	-0.157199	-1.1004	0.861731
34	0.065517	0.4586	0.324268
35	0.065256	0.4568	0.32492
36	-0.016267	-0.1139	0.545096
37	0.132885	0.9302	0.178416
38	0.008108	0.0568	0.477484
39	-0.097981	-0.6859	0.751985
40	0.041654	0.2916	0.385921
41	-0.069455	-0.4862	0.685498
42	-0.108466	-0.7593	0.774334
43	0.085985	0.6019	0.275009
44	0.028111	0.1968	0.422409
45	-0.071429	-0.5	0.690344
46	0.015631	0.1094	0.456658
47	-0.037356	-0.2615	0.602595
48	-0.056041	-0.3923	0.651727
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.092144	0.645	0.260966
1	-0.025951	-0.1817	0.5717
2	0.230774	1.6154	0.056321
3	-0.093643	-0.6555	0.742394
4	0.053258	0.3728	0.35545
5	0.118456	0.8292	0.205509
6	-0.145251	-1.0168	0.842869
7	0.045606	0.3192	0.37545
8	0.118953	0.8327	0.204534
9	-0.17183	-1.2028	0.882585
10	-0.114235	-0.7996	0.786111
11	-0.222866	-1.5601	0.937409
12	0.041392	0.2897	0.386618
13	0.116504	0.8155	0.209358
14	-0.147156	-1.0301	0.845988
15	0.014197	0.0994	0.460621
16	0.122338	0.8564	0.197983
17	-0.062372	-0.4366	0.667841
18	-0.139008	-0.9731	0.832348
19	0.014569	0.102	0.459592
20	0.192376	1.3466	0.092148
21	-0.229692	-1.6078	0.942853
22	-0.021592	-0.1511	0.559758
23	-0.190327	-1.3323	0.905536
24	-0.017133	-0.1199	0.547485
25	-0.068494	-0.4795	0.683126
26	0.099876	0.6991	0.243888
27	0.07618	0.5333	0.298131
28	0.067509	0.4726	0.319313
29	-0.018542	-0.1298	0.551368
30	0.0341	0.2387	0.406166
31	-0.025914	-0.1814	0.571598
32	-0.109614	-0.7673	0.776708
33	-0.010198	-0.0714	0.52831
34	-0.037396	-0.2618	0.602704
35	-0.028255	-0.1978	0.577984
36	0.029803	0.2086	0.417803
37	-0.020855	-0.146	0.557733
38	0.002172	0.0152	0.493965
39	-0.047729	-0.3341	0.630136
40	0.002313	0.0162	0.493573
41	0.031172	0.2182	0.414088
42	-0.008876	-0.0621	0.524644
43	-0.0446	-0.3122	0.621894
44	0.006793	0.0476	0.481134
45	-0.089987	-0.6299	0.734161
46	0.023498	0.1645	0.435012
47	-0.129853	-0.909	0.816092
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.092144 & 0.645 & 0.260966 \tabularnewline
1 & -0.025951 & -0.1817 & 0.5717 \tabularnewline
2 & 0.230774 & 1.6154 & 0.056321 \tabularnewline
3 & -0.093643 & -0.6555 & 0.742394 \tabularnewline
4 & 0.053258 & 0.3728 & 0.35545 \tabularnewline
5 & 0.118456 & 0.8292 & 0.205509 \tabularnewline
6 & -0.145251 & -1.0168 & 0.842869 \tabularnewline
7 & 0.045606 & 0.3192 & 0.37545 \tabularnewline
8 & 0.118953 & 0.8327 & 0.204534 \tabularnewline
9 & -0.17183 & -1.2028 & 0.882585 \tabularnewline
10 & -0.114235 & -0.7996 & 0.786111 \tabularnewline
11 & -0.222866 & -1.5601 & 0.937409 \tabularnewline
12 & 0.041392 & 0.2897 & 0.386618 \tabularnewline
13 & 0.116504 & 0.8155 & 0.209358 \tabularnewline
14 & -0.147156 & -1.0301 & 0.845988 \tabularnewline
15 & 0.014197 & 0.0994 & 0.460621 \tabularnewline
16 & 0.122338 & 0.8564 & 0.197983 \tabularnewline
17 & -0.062372 & -0.4366 & 0.667841 \tabularnewline
18 & -0.139008 & -0.9731 & 0.832348 \tabularnewline
19 & 0.014569 & 0.102 & 0.459592 \tabularnewline
20 & 0.192376 & 1.3466 & 0.092148 \tabularnewline
21 & -0.229692 & -1.6078 & 0.942853 \tabularnewline
22 & -0.021592 & -0.1511 & 0.559758 \tabularnewline
23 & -0.190327 & -1.3323 & 0.905536 \tabularnewline
24 & -0.017133 & -0.1199 & 0.547485 \tabularnewline
25 & -0.068494 & -0.4795 & 0.683126 \tabularnewline
26 & 0.099876 & 0.6991 & 0.243888 \tabularnewline
27 & 0.07618 & 0.5333 & 0.298131 \tabularnewline
28 & 0.067509 & 0.4726 & 0.319313 \tabularnewline
29 & -0.018542 & -0.1298 & 0.551368 \tabularnewline
30 & 0.0341 & 0.2387 & 0.406166 \tabularnewline
31 & -0.025914 & -0.1814 & 0.571598 \tabularnewline
32 & -0.109614 & -0.7673 & 0.776708 \tabularnewline
33 & -0.010198 & -0.0714 & 0.52831 \tabularnewline
34 & -0.037396 & -0.2618 & 0.602704 \tabularnewline
35 & -0.028255 & -0.1978 & 0.577984 \tabularnewline
36 & 0.029803 & 0.2086 & 0.417803 \tabularnewline
37 & -0.020855 & -0.146 & 0.557733 \tabularnewline
38 & 0.002172 & 0.0152 & 0.493965 \tabularnewline
39 & -0.047729 & -0.3341 & 0.630136 \tabularnewline
40 & 0.002313 & 0.0162 & 0.493573 \tabularnewline
41 & 0.031172 & 0.2182 & 0.414088 \tabularnewline
42 & -0.008876 & -0.0621 & 0.524644 \tabularnewline
43 & -0.0446 & -0.3122 & 0.621894 \tabularnewline
44 & 0.006793 & 0.0476 & 0.481134 \tabularnewline
45 & -0.089987 & -0.6299 & 0.734161 \tabularnewline
46 & 0.023498 & 0.1645 & 0.435012 \tabularnewline
47 & -0.129853 & -0.909 & 0.816092 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4258&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]0.092144[/C][C]0.645[/C][C]0.260966[/C][/ROW]
[ROW][C]1[/C][C]-0.025951[/C][C]-0.1817[/C][C]0.5717[/C][/ROW]
[ROW][C]2[/C][C]0.230774[/C][C]1.6154[/C][C]0.056321[/C][/ROW]
[ROW][C]3[/C][C]-0.093643[/C][C]-0.6555[/C][C]0.742394[/C][/ROW]
[ROW][C]4[/C][C]0.053258[/C][C]0.3728[/C][C]0.35545[/C][/ROW]
[ROW][C]5[/C][C]0.118456[/C][C]0.8292[/C][C]0.205509[/C][/ROW]
[ROW][C]6[/C][C]-0.145251[/C][C]-1.0168[/C][C]0.842869[/C][/ROW]
[ROW][C]7[/C][C]0.045606[/C][C]0.3192[/C][C]0.37545[/C][/ROW]
[ROW][C]8[/C][C]0.118953[/C][C]0.8327[/C][C]0.204534[/C][/ROW]
[ROW][C]9[/C][C]-0.17183[/C][C]-1.2028[/C][C]0.882585[/C][/ROW]
[ROW][C]10[/C][C]-0.114235[/C][C]-0.7996[/C][C]0.786111[/C][/ROW]
[ROW][C]11[/C][C]-0.222866[/C][C]-1.5601[/C][C]0.937409[/C][/ROW]
[ROW][C]12[/C][C]0.041392[/C][C]0.2897[/C][C]0.386618[/C][/ROW]
[ROW][C]13[/C][C]0.116504[/C][C]0.8155[/C][C]0.209358[/C][/ROW]
[ROW][C]14[/C][C]-0.147156[/C][C]-1.0301[/C][C]0.845988[/C][/ROW]
[ROW][C]15[/C][C]0.014197[/C][C]0.0994[/C][C]0.460621[/C][/ROW]
[ROW][C]16[/C][C]0.122338[/C][C]0.8564[/C][C]0.197983[/C][/ROW]
[ROW][C]17[/C][C]-0.062372[/C][C]-0.4366[/C][C]0.667841[/C][/ROW]
[ROW][C]18[/C][C]-0.139008[/C][C]-0.9731[/C][C]0.832348[/C][/ROW]
[ROW][C]19[/C][C]0.014569[/C][C]0.102[/C][C]0.459592[/C][/ROW]
[ROW][C]20[/C][C]0.192376[/C][C]1.3466[/C][C]0.092148[/C][/ROW]
[ROW][C]21[/C][C]-0.229692[/C][C]-1.6078[/C][C]0.942853[/C][/ROW]
[ROW][C]22[/C][C]-0.021592[/C][C]-0.1511[/C][C]0.559758[/C][/ROW]
[ROW][C]23[/C][C]-0.190327[/C][C]-1.3323[/C][C]0.905536[/C][/ROW]
[ROW][C]24[/C][C]-0.017133[/C][C]-0.1199[/C][C]0.547485[/C][/ROW]
[ROW][C]25[/C][C]-0.068494[/C][C]-0.4795[/C][C]0.683126[/C][/ROW]
[ROW][C]26[/C][C]0.099876[/C][C]0.6991[/C][C]0.243888[/C][/ROW]
[ROW][C]27[/C][C]0.07618[/C][C]0.5333[/C][C]0.298131[/C][/ROW]
[ROW][C]28[/C][C]0.067509[/C][C]0.4726[/C][C]0.319313[/C][/ROW]
[ROW][C]29[/C][C]-0.018542[/C][C]-0.1298[/C][C]0.551368[/C][/ROW]
[ROW][C]30[/C][C]0.0341[/C][C]0.2387[/C][C]0.406166[/C][/ROW]
[ROW][C]31[/C][C]-0.025914[/C][C]-0.1814[/C][C]0.571598[/C][/ROW]
[ROW][C]32[/C][C]-0.109614[/C][C]-0.7673[/C][C]0.776708[/C][/ROW]
[ROW][C]33[/C][C]-0.010198[/C][C]-0.0714[/C][C]0.52831[/C][/ROW]
[ROW][C]34[/C][C]-0.037396[/C][C]-0.2618[/C][C]0.602704[/C][/ROW]
[ROW][C]35[/C][C]-0.028255[/C][C]-0.1978[/C][C]0.577984[/C][/ROW]
[ROW][C]36[/C][C]0.029803[/C][C]0.2086[/C][C]0.417803[/C][/ROW]
[ROW][C]37[/C][C]-0.020855[/C][C]-0.146[/C][C]0.557733[/C][/ROW]
[ROW][C]38[/C][C]0.002172[/C][C]0.0152[/C][C]0.493965[/C][/ROW]
[ROW][C]39[/C][C]-0.047729[/C][C]-0.3341[/C][C]0.630136[/C][/ROW]
[ROW][C]40[/C][C]0.002313[/C][C]0.0162[/C][C]0.493573[/C][/ROW]
[ROW][C]41[/C][C]0.031172[/C][C]0.2182[/C][C]0.414088[/C][/ROW]
[ROW][C]42[/C][C]-0.008876[/C][C]-0.0621[/C][C]0.524644[/C][/ROW]
[ROW][C]43[/C][C]-0.0446[/C][C]-0.3122[/C][C]0.621894[/C][/ROW]
[ROW][C]44[/C][C]0.006793[/C][C]0.0476[/C][C]0.481134[/C][/ROW]
[ROW][C]45[/C][C]-0.089987[/C][C]-0.6299[/C][C]0.734161[/C][/ROW]
[ROW][C]46[/C][C]0.023498[/C][C]0.1645[/C][C]0.435012[/C][/ROW]
[ROW][C]47[/C][C]-0.129853[/C][C]-0.909[/C][C]0.816092[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4258&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4258&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	0.092144	0.645	0.260966
1	-0.025951	-0.1817	0.5717
2	0.230774	1.6154	0.056321
3	-0.093643	-0.6555	0.742394
4	0.053258	0.3728	0.35545
5	0.118456	0.8292	0.205509
6	-0.145251	-1.0168	0.842869
7	0.045606	0.3192	0.37545
8	0.118953	0.8327	0.204534
9	-0.17183	-1.2028	0.882585
10	-0.114235	-0.7996	0.786111
11	-0.222866	-1.5601	0.937409
12	0.041392	0.2897	0.386618
13	0.116504	0.8155	0.209358
14	-0.147156	-1.0301	0.845988
15	0.014197	0.0994	0.460621
16	0.122338	0.8564	0.197983
17	-0.062372	-0.4366	0.667841
18	-0.139008	-0.9731	0.832348
19	0.014569	0.102	0.459592
20	0.192376	1.3466	0.092148
21	-0.229692	-1.6078	0.942853
22	-0.021592	-0.1511	0.559758
23	-0.190327	-1.3323	0.905536
24	-0.017133	-0.1199	0.547485
25	-0.068494	-0.4795	0.683126
26	0.099876	0.6991	0.243888
27	0.07618	0.5333	0.298131
28	0.067509	0.4726	0.319313
29	-0.018542	-0.1298	0.551368
30	0.0341	0.2387	0.406166
31	-0.025914	-0.1814	0.571598
32	-0.109614	-0.7673	0.776708
33	-0.010198	-0.0714	0.52831
34	-0.037396	-0.2618	0.602704
35	-0.028255	-0.1978	0.577984
36	0.029803	0.2086	0.417803
37	-0.020855	-0.146	0.557733
38	0.002172	0.0152	0.493965
39	-0.047729	-0.3341	0.630136
40	0.002313	0.0162	0.493573
41	0.031172	0.2182	0.414088
42	-0.008876	-0.0621	0.524644
43	-0.0446	-0.3122	0.621894
44	0.006793	0.0476	0.481134
45	-0.089987	-0.6299	0.734161
46	0.023498	0.1645	0.435012
47	-0.129853	-0.909	0.816092
48	NA	NA	NA
49	NA	NA	NA
50	NA	NA	NA
51	NA	NA	NA
52	NA	NA	NA
53	NA	NA	NA
54	NA	NA	NA
55	NA	NA	NA
56	NA	NA	NA
57	NA	NA	NA
58	NA	NA	NA
59	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

par1 = 60 ; 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