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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 11 Dec 2008 07:46:12 -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/2008/Dec/11/t12290068179v8cq4lji6rgvu5.htm/, Retrieved Sun, 19 May 2024 06:01:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32276, Retrieved Sun, 19 May 2024 06:01:59 +0000

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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] [cor zonder parame...] [2008-12-11 14:30:03] [e43247bc0ab243a5af99ac7f55ba0b41]
-    D    [(Partial) Autocorrelation Function] [vrouwen zonder pa...] [2008-12-11 14:46:12] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
-   PD      [(Partial) Autocorrelation Function] [werkl vrouw met j...] [2008-12-11 15:08:30] [e43247bc0ab243a5af99ac7f55ba0b41] 
-   P         [(Partial) Autocorrelation Function] [correlatie met ju...] [2008-12-17 17:55:25] [e43247bc0ab243a5af99ac7f55ba0b41] 
-    D      [(Partial) Autocorrelation Function] [autocor onder 25 ...] [2008-12-11 15:12:23] [e43247bc0ab243a5af99ac7f55ba0b41] 
-   PD        [(Partial) Autocorrelation Function] [onder de 25 j met...] [2008-12-11 15:23:14] [e43247bc0ab243a5af99ac7f55ba0b41] 
-    D        [(Partial) Autocorrelation Function] [zonder parameters...] [2008-12-11 15:27:07] [e43247bc0ab243a5af99ac7f55ba0b41] 
-   PD          [(Partial) Autocorrelation Function] [met parameters bo...] [2008-12-11 15:40:40] [e43247bc0ab243a5af99ac7f55ba0b41] 

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Dataseries X:

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Boxplots

9,0
9,1
8,7
8,2
7,9
7,9
9,1
9,4
9,5
9,1
9,0
9,3
9,9
9,8
9,4
8,3
8,0
8,5
10,4
11,1
10,9
9,9
9,2
9,2
9,5
9,6
9,5
9,1
8,9
9,0
10,1
10,3
10,2
9,6
9,2
9,3
9,4
9,4
9,2
9,0
9,0
9,0
9,8
10,0
9,9
9,3
9,0
9,0
9,1
9,1
9,1
9,2
8,8
8,3
8,4
8,1
7,8
7,9
7,9
8,0
7,9
7,5
7,2
6,9
6,6
6,7
7,3
7,5

Summary of computational 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 computational 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=32276&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]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=32276&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32276&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.859396	7.0868	0
2	0.610058	5.0307	2e-06
3	0.400773	3.3049	0.000759
4	0.351201	2.8961	0.002539
5	0.407834	3.3631	0.000635
6	0.445548	3.6741	0.000236
7	0.381	3.1418	0.001243
8	0.266474	2.1974	0.015701
9	0.192855	1.5903	0.058201
10	0.224625	1.8523	0.034161
11	0.300216	2.4756	0.007898
12	0.310842	2.5633	0.006293
13	0.174847	1.4418	0.076971
14	-0.004604	-0.038	0.484914
15	-0.131016	-1.0804	0.141893
16	-0.127393	-1.0505	0.148602
17	-0.051047	-0.4209	0.33756
18	-0.003928	-0.0324	0.487127
19	-0.032277	-0.2662	0.395461
20	-0.100934	-0.8323	0.204071
21	-0.143836	-1.1861	0.119855
22	-0.118342	-0.9759	0.166293
23	-0.055786	-0.46	0.323483
24	-0.010726	-0.0885	0.464889
25	-0.055747	-0.4597	0.323597
26	-0.136144	-1.1227	0.132763
27	-0.206134	-1.6998	0.046867
28	-0.208719	-1.7211	0.044886
29	-0.174349	-1.4377	0.07755
30	-0.149561	-1.2333	0.110852
31	-0.163071	-1.3447	0.091592
32	-0.204032	-1.6825	0.04853
33	-0.240384	-1.9823	0.025747
34	-0.248431	-2.0486	0.022181
35	-0.226301	-1.8661	0.033169
36	-0.190627	-1.5719	0.060302
37	-0.187239	-1.544	0.063614
38	-0.194413	-1.6032	0.056766
39	-0.213307	-1.759	0.04154
40	-0.216951	-1.789	0.039032
41	-0.216034	-1.7815	0.039651
42	-0.222669	-1.8362	0.035352
43	-0.242544	-2.0001	0.024744
44	-0.260722	-2.15	0.017559
45	-0.259345	-2.1386	0.018031
46	-0.2293	-1.8909	0.031452
47	-0.16746	-1.3809	0.085914
48	-0.091321	-0.753	0.22701

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.859396 & 7.0868 & 0 \tabularnewline
2 & 0.610058 & 5.0307 & 2e-06 \tabularnewline
3 & 0.400773 & 3.3049 & 0.000759 \tabularnewline
4 & 0.351201 & 2.8961 & 0.002539 \tabularnewline
5 & 0.407834 & 3.3631 & 0.000635 \tabularnewline
6 & 0.445548 & 3.6741 & 0.000236 \tabularnewline
7 & 0.381 & 3.1418 & 0.001243 \tabularnewline
8 & 0.266474 & 2.1974 & 0.015701 \tabularnewline
9 & 0.192855 & 1.5903 & 0.058201 \tabularnewline
10 & 0.224625 & 1.8523 & 0.034161 \tabularnewline
11 & 0.300216 & 2.4756 & 0.007898 \tabularnewline
12 & 0.310842 & 2.5633 & 0.006293 \tabularnewline
13 & 0.174847 & 1.4418 & 0.076971 \tabularnewline
14 & -0.004604 & -0.038 & 0.484914 \tabularnewline
15 & -0.131016 & -1.0804 & 0.141893 \tabularnewline
16 & -0.127393 & -1.0505 & 0.148602 \tabularnewline
17 & -0.051047 & -0.4209 & 0.33756 \tabularnewline
18 & -0.003928 & -0.0324 & 0.487127 \tabularnewline
19 & -0.032277 & -0.2662 & 0.395461 \tabularnewline
20 & -0.100934 & -0.8323 & 0.204071 \tabularnewline
21 & -0.143836 & -1.1861 & 0.119855 \tabularnewline
22 & -0.118342 & -0.9759 & 0.166293 \tabularnewline
23 & -0.055786 & -0.46 & 0.323483 \tabularnewline
24 & -0.010726 & -0.0885 & 0.464889 \tabularnewline
25 & -0.055747 & -0.4597 & 0.323597 \tabularnewline
26 & -0.136144 & -1.1227 & 0.132763 \tabularnewline
27 & -0.206134 & -1.6998 & 0.046867 \tabularnewline
28 & -0.208719 & -1.7211 & 0.044886 \tabularnewline
29 & -0.174349 & -1.4377 & 0.07755 \tabularnewline
30 & -0.149561 & -1.2333 & 0.110852 \tabularnewline
31 & -0.163071 & -1.3447 & 0.091592 \tabularnewline
32 & -0.204032 & -1.6825 & 0.04853 \tabularnewline
33 & -0.240384 & -1.9823 & 0.025747 \tabularnewline
34 & -0.248431 & -2.0486 & 0.022181 \tabularnewline
35 & -0.226301 & -1.8661 & 0.033169 \tabularnewline
36 & -0.190627 & -1.5719 & 0.060302 \tabularnewline
37 & -0.187239 & -1.544 & 0.063614 \tabularnewline
38 & -0.194413 & -1.6032 & 0.056766 \tabularnewline
39 & -0.213307 & -1.759 & 0.04154 \tabularnewline
40 & -0.216951 & -1.789 & 0.039032 \tabularnewline
41 & -0.216034 & -1.7815 & 0.039651 \tabularnewline
42 & -0.222669 & -1.8362 & 0.035352 \tabularnewline
43 & -0.242544 & -2.0001 & 0.024744 \tabularnewline
44 & -0.260722 & -2.15 & 0.017559 \tabularnewline
45 & -0.259345 & -2.1386 & 0.018031 \tabularnewline
46 & -0.2293 & -1.8909 & 0.031452 \tabularnewline
47 & -0.16746 & -1.3809 & 0.085914 \tabularnewline
48 & -0.091321 & -0.753 & 0.22701 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32276&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]0.859396[/C][C]7.0868[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.610058[/C][C]5.0307[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.400773[/C][C]3.3049[/C][C]0.000759[/C][/ROW]
[ROW][C]4[/C][C]0.351201[/C][C]2.8961[/C][C]0.002539[/C][/ROW]
[ROW][C]5[/C][C]0.407834[/C][C]3.3631[/C][C]0.000635[/C][/ROW]
[ROW][C]6[/C][C]0.445548[/C][C]3.6741[/C][C]0.000236[/C][/ROW]
[ROW][C]7[/C][C]0.381[/C][C]3.1418[/C][C]0.001243[/C][/ROW]
[ROW][C]8[/C][C]0.266474[/C][C]2.1974[/C][C]0.015701[/C][/ROW]
[ROW][C]9[/C][C]0.192855[/C][C]1.5903[/C][C]0.058201[/C][/ROW]
[ROW][C]10[/C][C]0.224625[/C][C]1.8523[/C][C]0.034161[/C][/ROW]
[ROW][C]11[/C][C]0.300216[/C][C]2.4756[/C][C]0.007898[/C][/ROW]
[ROW][C]12[/C][C]0.310842[/C][C]2.5633[/C][C]0.006293[/C][/ROW]
[ROW][C]13[/C][C]0.174847[/C][C]1.4418[/C][C]0.076971[/C][/ROW]
[ROW][C]14[/C][C]-0.004604[/C][C]-0.038[/C][C]0.484914[/C][/ROW]
[ROW][C]15[/C][C]-0.131016[/C][C]-1.0804[/C][C]0.141893[/C][/ROW]
[ROW][C]16[/C][C]-0.127393[/C][C]-1.0505[/C][C]0.148602[/C][/ROW]
[ROW][C]17[/C][C]-0.051047[/C][C]-0.4209[/C][C]0.33756[/C][/ROW]
[ROW][C]18[/C][C]-0.003928[/C][C]-0.0324[/C][C]0.487127[/C][/ROW]
[ROW][C]19[/C][C]-0.032277[/C][C]-0.2662[/C][C]0.395461[/C][/ROW]
[ROW][C]20[/C][C]-0.100934[/C][C]-0.8323[/C][C]0.204071[/C][/ROW]
[ROW][C]21[/C][C]-0.143836[/C][C]-1.1861[/C][C]0.119855[/C][/ROW]
[ROW][C]22[/C][C]-0.118342[/C][C]-0.9759[/C][C]0.166293[/C][/ROW]
[ROW][C]23[/C][C]-0.055786[/C][C]-0.46[/C][C]0.323483[/C][/ROW]
[ROW][C]24[/C][C]-0.010726[/C][C]-0.0885[/C][C]0.464889[/C][/ROW]
[ROW][C]25[/C][C]-0.055747[/C][C]-0.4597[/C][C]0.323597[/C][/ROW]
[ROW][C]26[/C][C]-0.136144[/C][C]-1.1227[/C][C]0.132763[/C][/ROW]
[ROW][C]27[/C][C]-0.206134[/C][C]-1.6998[/C][C]0.046867[/C][/ROW]
[ROW][C]28[/C][C]-0.208719[/C][C]-1.7211[/C][C]0.044886[/C][/ROW]
[ROW][C]29[/C][C]-0.174349[/C][C]-1.4377[/C][C]0.07755[/C][/ROW]
[ROW][C]30[/C][C]-0.149561[/C][C]-1.2333[/C][C]0.110852[/C][/ROW]
[ROW][C]31[/C][C]-0.163071[/C][C]-1.3447[/C][C]0.091592[/C][/ROW]
[ROW][C]32[/C][C]-0.204032[/C][C]-1.6825[/C][C]0.04853[/C][/ROW]
[ROW][C]33[/C][C]-0.240384[/C][C]-1.9823[/C][C]0.025747[/C][/ROW]
[ROW][C]34[/C][C]-0.248431[/C][C]-2.0486[/C][C]0.022181[/C][/ROW]
[ROW][C]35[/C][C]-0.226301[/C][C]-1.8661[/C][C]0.033169[/C][/ROW]
[ROW][C]36[/C][C]-0.190627[/C][C]-1.5719[/C][C]0.060302[/C][/ROW]
[ROW][C]37[/C][C]-0.187239[/C][C]-1.544[/C][C]0.063614[/C][/ROW]
[ROW][C]38[/C][C]-0.194413[/C][C]-1.6032[/C][C]0.056766[/C][/ROW]
[ROW][C]39[/C][C]-0.213307[/C][C]-1.759[/C][C]0.04154[/C][/ROW]
[ROW][C]40[/C][C]-0.216951[/C][C]-1.789[/C][C]0.039032[/C][/ROW]
[ROW][C]41[/C][C]-0.216034[/C][C]-1.7815[/C][C]0.039651[/C][/ROW]
[ROW][C]42[/C][C]-0.222669[/C][C]-1.8362[/C][C]0.035352[/C][/ROW]
[ROW][C]43[/C][C]-0.242544[/C][C]-2.0001[/C][C]0.024744[/C][/ROW]
[ROW][C]44[/C][C]-0.260722[/C][C]-2.15[/C][C]0.017559[/C][/ROW]
[ROW][C]45[/C][C]-0.259345[/C][C]-2.1386[/C][C]0.018031[/C][/ROW]
[ROW][C]46[/C][C]-0.2293[/C][C]-1.8909[/C][C]0.031452[/C][/ROW]
[ROW][C]47[/C][C]-0.16746[/C][C]-1.3809[/C][C]0.085914[/C][/ROW]
[ROW][C]48[/C][C]-0.091321[/C][C]-0.753[/C][C]0.22701[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32276&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32276&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	0.859396	7.0868	0
2	0.610058	5.0307	2e-06
3	0.400773	3.3049	0.000759
4	0.351201	2.8961	0.002539
5	0.407834	3.3631	0.000635
6	0.445548	3.6741	0.000236
7	0.381	3.1418	0.001243
8	0.266474	2.1974	0.015701
9	0.192855	1.5903	0.058201
10	0.224625	1.8523	0.034161
11	0.300216	2.4756	0.007898
12	0.310842	2.5633	0.006293
13	0.174847	1.4418	0.076971
14	-0.004604	-0.038	0.484914
15	-0.131016	-1.0804	0.141893
16	-0.127393	-1.0505	0.148602
17	-0.051047	-0.4209	0.33756
18	-0.003928	-0.0324	0.487127
19	-0.032277	-0.2662	0.395461
20	-0.100934	-0.8323	0.204071
21	-0.143836	-1.1861	0.119855
22	-0.118342	-0.9759	0.166293
23	-0.055786	-0.46	0.323483
24	-0.010726	-0.0885	0.464889
25	-0.055747	-0.4597	0.323597
26	-0.136144	-1.1227	0.132763
27	-0.206134	-1.6998	0.046867
28	-0.208719	-1.7211	0.044886
29	-0.174349	-1.4377	0.07755
30	-0.149561	-1.2333	0.110852
31	-0.163071	-1.3447	0.091592
32	-0.204032	-1.6825	0.04853
33	-0.240384	-1.9823	0.025747
34	-0.248431	-2.0486	0.022181
35	-0.226301	-1.8661	0.033169
36	-0.190627	-1.5719	0.060302
37	-0.187239	-1.544	0.063614
38	-0.194413	-1.6032	0.056766
39	-0.213307	-1.759	0.04154
40	-0.216951	-1.789	0.039032
41	-0.216034	-1.7815	0.039651
42	-0.222669	-1.8362	0.035352
43	-0.242544	-2.0001	0.024744
44	-0.260722	-2.15	0.017559
45	-0.259345	-2.1386	0.018031
46	-0.2293	-1.8909	0.031452
47	-0.16746	-1.3809	0.085914
48	-0.091321	-0.753	0.22701

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.859396	7.0868	0
2	-0.491527	-4.0532	6.6e-05
3	0.20784	1.7139	0.045552
4	0.423344	3.491	0.000425
5	-0.034266	-0.2826	0.389183
6	-0.188108	-1.5512	0.062751
7	-0.064816	-0.5345	0.297374
8	0.194738	1.6058	0.056471
9	0.077952	0.6428	0.261255
10	0.072524	0.5981	0.275897
11	-0.093918	-0.7745	0.220668
12	-0.179366	-1.4791	0.071867
13	-0.302222	-2.4922	0.007569
14	0.225468	1.8593	0.033659
15	-0.074265	-0.6124	0.271156
16	-0.090427	-0.7457	0.229216
17	-0.002295	-0.0189	0.492477
18	0.010139	0.0836	0.466805
19	0.102313	0.8437	0.2009
20	-0.022625	-0.1866	0.426278
21	-0.055769	-0.4599	0.323532
22	-0.026145	-0.2156	0.414975
23	0.111535	0.9197	0.180481
24	0.158298	1.3054	0.098086
25	-0.272789	-2.2495	0.013862
26	-0.007792	-0.0643	0.474477
27	-0.010745	-0.0886	0.464827
28	-0.060787	-0.5013	0.308901
29	-0.081244	-0.67	0.252578
30	-0.007078	-0.0584	0.476815
31	-0.034924	-0.288	0.387116
32	-0.106558	-0.8787	0.191329
33	0.025141	0.2073	0.418191
34	-0.05993	-0.4942	0.311379
35	-0.011371	-0.0938	0.462786
36	0.084747	0.6988	0.243518
37	0.001461	0.012	0.495211
38	0.042017	0.3465	0.365024
39	-0.016316	-0.1345	0.446685
40	-0.083443	-0.6881	0.246868
41	-0.088411	-0.7291	0.234235
42	-0.021299	-0.1756	0.430552
43	-0.064447	-0.5314	0.298422
44	-0.042014	-0.3465	0.365036
45	0.064222	0.5296	0.299062
46	0.056525	0.4661	0.321309
47	0.048027	0.396	0.346657
48	0.012367	0.102	0.459537

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.859396 & 7.0868 & 0 \tabularnewline
2 & -0.491527 & -4.0532 & 6.6e-05 \tabularnewline
3 & 0.20784 & 1.7139 & 0.045552 \tabularnewline
4 & 0.423344 & 3.491 & 0.000425 \tabularnewline
5 & -0.034266 & -0.2826 & 0.389183 \tabularnewline
6 & -0.188108 & -1.5512 & 0.062751 \tabularnewline
7 & -0.064816 & -0.5345 & 0.297374 \tabularnewline
8 & 0.194738 & 1.6058 & 0.056471 \tabularnewline
9 & 0.077952 & 0.6428 & 0.261255 \tabularnewline
10 & 0.072524 & 0.5981 & 0.275897 \tabularnewline
11 & -0.093918 & -0.7745 & 0.220668 \tabularnewline
12 & -0.179366 & -1.4791 & 0.071867 \tabularnewline
13 & -0.302222 & -2.4922 & 0.007569 \tabularnewline
14 & 0.225468 & 1.8593 & 0.033659 \tabularnewline
15 & -0.074265 & -0.6124 & 0.271156 \tabularnewline
16 & -0.090427 & -0.7457 & 0.229216 \tabularnewline
17 & -0.002295 & -0.0189 & 0.492477 \tabularnewline
18 & 0.010139 & 0.0836 & 0.466805 \tabularnewline
19 & 0.102313 & 0.8437 & 0.2009 \tabularnewline
20 & -0.022625 & -0.1866 & 0.426278 \tabularnewline
21 & -0.055769 & -0.4599 & 0.323532 \tabularnewline
22 & -0.026145 & -0.2156 & 0.414975 \tabularnewline
23 & 0.111535 & 0.9197 & 0.180481 \tabularnewline
24 & 0.158298 & 1.3054 & 0.098086 \tabularnewline
25 & -0.272789 & -2.2495 & 0.013862 \tabularnewline
26 & -0.007792 & -0.0643 & 0.474477 \tabularnewline
27 & -0.010745 & -0.0886 & 0.464827 \tabularnewline
28 & -0.060787 & -0.5013 & 0.308901 \tabularnewline
29 & -0.081244 & -0.67 & 0.252578 \tabularnewline
30 & -0.007078 & -0.0584 & 0.476815 \tabularnewline
31 & -0.034924 & -0.288 & 0.387116 \tabularnewline
32 & -0.106558 & -0.8787 & 0.191329 \tabularnewline
33 & 0.025141 & 0.2073 & 0.418191 \tabularnewline
34 & -0.05993 & -0.4942 & 0.311379 \tabularnewline
35 & -0.011371 & -0.0938 & 0.462786 \tabularnewline
36 & 0.084747 & 0.6988 & 0.243518 \tabularnewline
37 & 0.001461 & 0.012 & 0.495211 \tabularnewline
38 & 0.042017 & 0.3465 & 0.365024 \tabularnewline
39 & -0.016316 & -0.1345 & 0.446685 \tabularnewline
40 & -0.083443 & -0.6881 & 0.246868 \tabularnewline
41 & -0.088411 & -0.7291 & 0.234235 \tabularnewline
42 & -0.021299 & -0.1756 & 0.430552 \tabularnewline
43 & -0.064447 & -0.5314 & 0.298422 \tabularnewline
44 & -0.042014 & -0.3465 & 0.365036 \tabularnewline
45 & 0.064222 & 0.5296 & 0.299062 \tabularnewline
46 & 0.056525 & 0.4661 & 0.321309 \tabularnewline
47 & 0.048027 & 0.396 & 0.346657 \tabularnewline
48 & 0.012367 & 0.102 & 0.459537 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32276&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]0.859396[/C][C]7.0868[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.491527[/C][C]-4.0532[/C][C]6.6e-05[/C][/ROW]
[ROW][C]3[/C][C]0.20784[/C][C]1.7139[/C][C]0.045552[/C][/ROW]
[ROW][C]4[/C][C]0.423344[/C][C]3.491[/C][C]0.000425[/C][/ROW]
[ROW][C]5[/C][C]-0.034266[/C][C]-0.2826[/C][C]0.389183[/C][/ROW]
[ROW][C]6[/C][C]-0.188108[/C][C]-1.5512[/C][C]0.062751[/C][/ROW]
[ROW][C]7[/C][C]-0.064816[/C][C]-0.5345[/C][C]0.297374[/C][/ROW]
[ROW][C]8[/C][C]0.194738[/C][C]1.6058[/C][C]0.056471[/C][/ROW]
[ROW][C]9[/C][C]0.077952[/C][C]0.6428[/C][C]0.261255[/C][/ROW]
[ROW][C]10[/C][C]0.072524[/C][C]0.5981[/C][C]0.275897[/C][/ROW]
[ROW][C]11[/C][C]-0.093918[/C][C]-0.7745[/C][C]0.220668[/C][/ROW]
[ROW][C]12[/C][C]-0.179366[/C][C]-1.4791[/C][C]0.071867[/C][/ROW]
[ROW][C]13[/C][C]-0.302222[/C][C]-2.4922[/C][C]0.007569[/C][/ROW]
[ROW][C]14[/C][C]0.225468[/C][C]1.8593[/C][C]0.033659[/C][/ROW]
[ROW][C]15[/C][C]-0.074265[/C][C]-0.6124[/C][C]0.271156[/C][/ROW]
[ROW][C]16[/C][C]-0.090427[/C][C]-0.7457[/C][C]0.229216[/C][/ROW]
[ROW][C]17[/C][C]-0.002295[/C][C]-0.0189[/C][C]0.492477[/C][/ROW]
[ROW][C]18[/C][C]0.010139[/C][C]0.0836[/C][C]0.466805[/C][/ROW]
[ROW][C]19[/C][C]0.102313[/C][C]0.8437[/C][C]0.2009[/C][/ROW]
[ROW][C]20[/C][C]-0.022625[/C][C]-0.1866[/C][C]0.426278[/C][/ROW]
[ROW][C]21[/C][C]-0.055769[/C][C]-0.4599[/C][C]0.323532[/C][/ROW]
[ROW][C]22[/C][C]-0.026145[/C][C]-0.2156[/C][C]0.414975[/C][/ROW]
[ROW][C]23[/C][C]0.111535[/C][C]0.9197[/C][C]0.180481[/C][/ROW]
[ROW][C]24[/C][C]0.158298[/C][C]1.3054[/C][C]0.098086[/C][/ROW]
[ROW][C]25[/C][C]-0.272789[/C][C]-2.2495[/C][C]0.013862[/C][/ROW]
[ROW][C]26[/C][C]-0.007792[/C][C]-0.0643[/C][C]0.474477[/C][/ROW]
[ROW][C]27[/C][C]-0.010745[/C][C]-0.0886[/C][C]0.464827[/C][/ROW]
[ROW][C]28[/C][C]-0.060787[/C][C]-0.5013[/C][C]0.308901[/C][/ROW]
[ROW][C]29[/C][C]-0.081244[/C][C]-0.67[/C][C]0.252578[/C][/ROW]
[ROW][C]30[/C][C]-0.007078[/C][C]-0.0584[/C][C]0.476815[/C][/ROW]
[ROW][C]31[/C][C]-0.034924[/C][C]-0.288[/C][C]0.387116[/C][/ROW]
[ROW][C]32[/C][C]-0.106558[/C][C]-0.8787[/C][C]0.191329[/C][/ROW]
[ROW][C]33[/C][C]0.025141[/C][C]0.2073[/C][C]0.418191[/C][/ROW]
[ROW][C]34[/C][C]-0.05993[/C][C]-0.4942[/C][C]0.311379[/C][/ROW]
[ROW][C]35[/C][C]-0.011371[/C][C]-0.0938[/C][C]0.462786[/C][/ROW]
[ROW][C]36[/C][C]0.084747[/C][C]0.6988[/C][C]0.243518[/C][/ROW]
[ROW][C]37[/C][C]0.001461[/C][C]0.012[/C][C]0.495211[/C][/ROW]
[ROW][C]38[/C][C]0.042017[/C][C]0.3465[/C][C]0.365024[/C][/ROW]
[ROW][C]39[/C][C]-0.016316[/C][C]-0.1345[/C][C]0.446685[/C][/ROW]
[ROW][C]40[/C][C]-0.083443[/C][C]-0.6881[/C][C]0.246868[/C][/ROW]
[ROW][C]41[/C][C]-0.088411[/C][C]-0.7291[/C][C]0.234235[/C][/ROW]
[ROW][C]42[/C][C]-0.021299[/C][C]-0.1756[/C][C]0.430552[/C][/ROW]
[ROW][C]43[/C][C]-0.064447[/C][C]-0.5314[/C][C]0.298422[/C][/ROW]
[ROW][C]44[/C][C]-0.042014[/C][C]-0.3465[/C][C]0.365036[/C][/ROW]
[ROW][C]45[/C][C]0.064222[/C][C]0.5296[/C][C]0.299062[/C][/ROW]
[ROW][C]46[/C][C]0.056525[/C][C]0.4661[/C][C]0.321309[/C][/ROW]
[ROW][C]47[/C][C]0.048027[/C][C]0.396[/C][C]0.346657[/C][/ROW]
[ROW][C]48[/C][C]0.012367[/C][C]0.102[/C][C]0.459537[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32276&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32276&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	0.859396	7.0868	0
2	-0.491527	-4.0532	6.6e-05
3	0.20784	1.7139	0.045552
4	0.423344	3.491	0.000425
5	-0.034266	-0.2826	0.389183
6	-0.188108	-1.5512	0.062751
7	-0.064816	-0.5345	0.297374
8	0.194738	1.6058	0.056471
9	0.077952	0.6428	0.261255
10	0.072524	0.5981	0.275897
11	-0.093918	-0.7745	0.220668
12	-0.179366	-1.4791	0.071867
13	-0.302222	-2.4922	0.007569
14	0.225468	1.8593	0.033659
15	-0.074265	-0.6124	0.271156
16	-0.090427	-0.7457	0.229216
17	-0.002295	-0.0189	0.492477
18	0.010139	0.0836	0.466805
19	0.102313	0.8437	0.2009
20	-0.022625	-0.1866	0.426278
21	-0.055769	-0.4599	0.323532
22	-0.026145	-0.2156	0.414975
23	0.111535	0.9197	0.180481
24	0.158298	1.3054	0.098086
25	-0.272789	-2.2495	0.013862
26	-0.007792	-0.0643	0.474477
27	-0.010745	-0.0886	0.464827
28	-0.060787	-0.5013	0.308901
29	-0.081244	-0.67	0.252578
30	-0.007078	-0.0584	0.476815
31	-0.034924	-0.288	0.387116
32	-0.106558	-0.8787	0.191329
33	0.025141	0.2073	0.418191
34	-0.05993	-0.4942	0.311379
35	-0.011371	-0.0938	0.462786
36	0.084747	0.6988	0.243518
37	0.001461	0.012	0.495211
38	0.042017	0.3465	0.365024
39	-0.016316	-0.1345	0.446685
40	-0.083443	-0.6881	0.246868
41	-0.088411	-0.7291	0.234235
42	-0.021299	-0.1756	0.430552
43	-0.064447	-0.5314	0.298422
44	-0.042014	-0.3465	0.365036
45	0.064222	0.5296	0.299062
46	0.056525	0.4661	0.321309
47	0.048027	0.396	0.346657
48	0.012367	0.102	0.459537

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