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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 18 Dec 2009 02:05:22 -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/2009/Dec/18/t1261127263cjn04hk8xqk0wz3.htm/, Retrieved Sat, 27 Apr 2024 07:26:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69167, Retrieved Sat, 27 Apr 2024 07:26:09 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

shwpaper20

Estimated Impact

197

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

F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:18:46] [7173087adebe3e3a714c80ea2417b3eb]
- RMP     [Central Tendency] [tijdreeks 2 centr...] [2008-10-19 17:39:42] [7173087adebe3e3a714c80ea2417b3eb]
- RMP       [(Partial) Autocorrelation Function] [ACF aanvragen hyp...] [2008-12-16 14:51:47] [7d3039e6253bb5fb3b26df1537d500b4]
-   P         [(Partial) Autocorrelation Function] [ACF met ingevulde...] [2008-12-16 15:15:28] [7d3039e6253bb5fb3b26df1537d500b4]
-  MPD            [(Partial) Autocorrelation Function] [] [2009-12-18 09:05:22] [4407d6264e55b051ec65750e6dca2820] [Current]
-                   [(Partial) Autocorrelation Function] [] [2009-12-18 10:51:45] [ebd107afac1bd6180acb277edd05815b] 
-   PD              [(Partial) Autocorrelation Function] [] [2009-12-18 10:54:28] [ebd107afac1bd6180acb277edd05815b] 
-    D                [(Partial) Autocorrelation Function] [] [2010-12-25 05:30:33] [6e5489189f7de5cfbcc25dd35ae15009] 
-    D              [(Partial) Autocorrelation Function] [] [2010-12-24 15:46:54] [6e5489189f7de5cfbcc25dd35ae15009] 

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Dataseries X:

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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=69167&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=69167&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69167&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	-0.566145	-3.9224	0.000139
2	0.077016	0.5336	0.298046
3	0.369336	2.5588	0.006855
4	-0.351697	-2.4366	0.009292
5	0.155778	1.0793	0.142932
6	0.161626	1.1198	0.134191
7	-0.38018	-2.634	0.005662
8	0.295925	2.0502	0.022913
9	-0.12635	-0.8754	0.192865
10	-0.090464	-0.6268	0.266896
11	0.160386	1.1112	0.136012
12	-0.13069	-0.9054	0.184875
13	-0.000731	-0.0051	0.497989
14	0.059472	0.412	0.341075
15	0.028258	0.1958	0.422805
16	-0.169637	-1.1753	0.12284
17	0.177312	1.2285	0.112633
18	-0.097413	-0.6749	0.25149
19	-0.070805	-0.4905	0.31299
20	0.173634	1.203	0.117444
21	-0.094466	-0.6545	0.257963
22	-0.180851	-1.253	0.108142
23	0.378959	2.6255	0.005787
24	-0.335662	-2.3255	0.012158
25	0.140292	0.972	0.16797
26	0.066428	0.4602	0.323717
27	-0.156247	-1.0825	0.142217
28	0.105328	0.7297	0.23455
29	0.030561	0.2117	0.416607
30	-0.132376	-0.9171	0.18183
31	0.143949	0.9973	0.161808
32	-0.107403	-0.7441	0.23022
33	0.023987	0.1662	0.434353
34	0.079453	0.5505	0.292277
35	-0.139727	-0.9681	0.168934
36	0.051198	0.3547	0.362181
37	0.0151	0.1046	0.458557
38	-0.048526	-0.3362	0.369093
39	-0.006392	-0.0443	0.48243
40	0.030922	0.2142	0.415636
41	-0.075951	-0.5262	0.300584
42	0.049786	0.3449	0.365827
43	-0.014381	-0.0996	0.460525
44	-0.004095	-0.0284	0.488742
45	0.00227	0.0157	0.493758
46	-0.001876	-0.013	0.494842
47	0.005091	0.0353	0.486005
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
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.566145 & -3.9224 & 0.000139 \tabularnewline
2 & 0.077016 & 0.5336 & 0.298046 \tabularnewline
3 & 0.369336 & 2.5588 & 0.006855 \tabularnewline
4 & -0.351697 & -2.4366 & 0.009292 \tabularnewline
5 & 0.155778 & 1.0793 & 0.142932 \tabularnewline
6 & 0.161626 & 1.1198 & 0.134191 \tabularnewline
7 & -0.38018 & -2.634 & 0.005662 \tabularnewline
8 & 0.295925 & 2.0502 & 0.022913 \tabularnewline
9 & -0.12635 & -0.8754 & 0.192865 \tabularnewline
10 & -0.090464 & -0.6268 & 0.266896 \tabularnewline
11 & 0.160386 & 1.1112 & 0.136012 \tabularnewline
12 & -0.13069 & -0.9054 & 0.184875 \tabularnewline
13 & -0.000731 & -0.0051 & 0.497989 \tabularnewline
14 & 0.059472 & 0.412 & 0.341075 \tabularnewline
15 & 0.028258 & 0.1958 & 0.422805 \tabularnewline
16 & -0.169637 & -1.1753 & 0.12284 \tabularnewline
17 & 0.177312 & 1.2285 & 0.112633 \tabularnewline
18 & -0.097413 & -0.6749 & 0.25149 \tabularnewline
19 & -0.070805 & -0.4905 & 0.31299 \tabularnewline
20 & 0.173634 & 1.203 & 0.117444 \tabularnewline
21 & -0.094466 & -0.6545 & 0.257963 \tabularnewline
22 & -0.180851 & -1.253 & 0.108142 \tabularnewline
23 & 0.378959 & 2.6255 & 0.005787 \tabularnewline
24 & -0.335662 & -2.3255 & 0.012158 \tabularnewline
25 & 0.140292 & 0.972 & 0.16797 \tabularnewline
26 & 0.066428 & 0.4602 & 0.323717 \tabularnewline
27 & -0.156247 & -1.0825 & 0.142217 \tabularnewline
28 & 0.105328 & 0.7297 & 0.23455 \tabularnewline
29 & 0.030561 & 0.2117 & 0.416607 \tabularnewline
30 & -0.132376 & -0.9171 & 0.18183 \tabularnewline
31 & 0.143949 & 0.9973 & 0.161808 \tabularnewline
32 & -0.107403 & -0.7441 & 0.23022 \tabularnewline
33 & 0.023987 & 0.1662 & 0.434353 \tabularnewline
34 & 0.079453 & 0.5505 & 0.292277 \tabularnewline
35 & -0.139727 & -0.9681 & 0.168934 \tabularnewline
36 & 0.051198 & 0.3547 & 0.362181 \tabularnewline
37 & 0.0151 & 0.1046 & 0.458557 \tabularnewline
38 & -0.048526 & -0.3362 & 0.369093 \tabularnewline
39 & -0.006392 & -0.0443 & 0.48243 \tabularnewline
40 & 0.030922 & 0.2142 & 0.415636 \tabularnewline
41 & -0.075951 & -0.5262 & 0.300584 \tabularnewline
42 & 0.049786 & 0.3449 & 0.365827 \tabularnewline
43 & -0.014381 & -0.0996 & 0.460525 \tabularnewline
44 & -0.004095 & -0.0284 & 0.488742 \tabularnewline
45 & 0.00227 & 0.0157 & 0.493758 \tabularnewline
46 & -0.001876 & -0.013 & 0.494842 \tabularnewline
47 & 0.005091 & 0.0353 & 0.486005 \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
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69167&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]-0.566145[/C][C]-3.9224[/C][C]0.000139[/C][/ROW]
[ROW][C]2[/C][C]0.077016[/C][C]0.5336[/C][C]0.298046[/C][/ROW]
[ROW][C]3[/C][C]0.369336[/C][C]2.5588[/C][C]0.006855[/C][/ROW]
[ROW][C]4[/C][C]-0.351697[/C][C]-2.4366[/C][C]0.009292[/C][/ROW]
[ROW][C]5[/C][C]0.155778[/C][C]1.0793[/C][C]0.142932[/C][/ROW]
[ROW][C]6[/C][C]0.161626[/C][C]1.1198[/C][C]0.134191[/C][/ROW]
[ROW][C]7[/C][C]-0.38018[/C][C]-2.634[/C][C]0.005662[/C][/ROW]
[ROW][C]8[/C][C]0.295925[/C][C]2.0502[/C][C]0.022913[/C][/ROW]
[ROW][C]9[/C][C]-0.12635[/C][C]-0.8754[/C][C]0.192865[/C][/ROW]
[ROW][C]10[/C][C]-0.090464[/C][C]-0.6268[/C][C]0.266896[/C][/ROW]
[ROW][C]11[/C][C]0.160386[/C][C]1.1112[/C][C]0.136012[/C][/ROW]
[ROW][C]12[/C][C]-0.13069[/C][C]-0.9054[/C][C]0.184875[/C][/ROW]
[ROW][C]13[/C][C]-0.000731[/C][C]-0.0051[/C][C]0.497989[/C][/ROW]
[ROW][C]14[/C][C]0.059472[/C][C]0.412[/C][C]0.341075[/C][/ROW]
[ROW][C]15[/C][C]0.028258[/C][C]0.1958[/C][C]0.422805[/C][/ROW]
[ROW][C]16[/C][C]-0.169637[/C][C]-1.1753[/C][C]0.12284[/C][/ROW]
[ROW][C]17[/C][C]0.177312[/C][C]1.2285[/C][C]0.112633[/C][/ROW]
[ROW][C]18[/C][C]-0.097413[/C][C]-0.6749[/C][C]0.25149[/C][/ROW]
[ROW][C]19[/C][C]-0.070805[/C][C]-0.4905[/C][C]0.31299[/C][/ROW]
[ROW][C]20[/C][C]0.173634[/C][C]1.203[/C][C]0.117444[/C][/ROW]
[ROW][C]21[/C][C]-0.094466[/C][C]-0.6545[/C][C]0.257963[/C][/ROW]
[ROW][C]22[/C][C]-0.180851[/C][C]-1.253[/C][C]0.108142[/C][/ROW]
[ROW][C]23[/C][C]0.378959[/C][C]2.6255[/C][C]0.005787[/C][/ROW]
[ROW][C]24[/C][C]-0.335662[/C][C]-2.3255[/C][C]0.012158[/C][/ROW]
[ROW][C]25[/C][C]0.140292[/C][C]0.972[/C][C]0.16797[/C][/ROW]
[ROW][C]26[/C][C]0.066428[/C][C]0.4602[/C][C]0.323717[/C][/ROW]
[ROW][C]27[/C][C]-0.156247[/C][C]-1.0825[/C][C]0.142217[/C][/ROW]
[ROW][C]28[/C][C]0.105328[/C][C]0.7297[/C][C]0.23455[/C][/ROW]
[ROW][C]29[/C][C]0.030561[/C][C]0.2117[/C][C]0.416607[/C][/ROW]
[ROW][C]30[/C][C]-0.132376[/C][C]-0.9171[/C][C]0.18183[/C][/ROW]
[ROW][C]31[/C][C]0.143949[/C][C]0.9973[/C][C]0.161808[/C][/ROW]
[ROW][C]32[/C][C]-0.107403[/C][C]-0.7441[/C][C]0.23022[/C][/ROW]
[ROW][C]33[/C][C]0.023987[/C][C]0.1662[/C][C]0.434353[/C][/ROW]
[ROW][C]34[/C][C]0.079453[/C][C]0.5505[/C][C]0.292277[/C][/ROW]
[ROW][C]35[/C][C]-0.139727[/C][C]-0.9681[/C][C]0.168934[/C][/ROW]
[ROW][C]36[/C][C]0.051198[/C][C]0.3547[/C][C]0.362181[/C][/ROW]
[ROW][C]37[/C][C]0.0151[/C][C]0.1046[/C][C]0.458557[/C][/ROW]
[ROW][C]38[/C][C]-0.048526[/C][C]-0.3362[/C][C]0.369093[/C][/ROW]
[ROW][C]39[/C][C]-0.006392[/C][C]-0.0443[/C][C]0.48243[/C][/ROW]
[ROW][C]40[/C][C]0.030922[/C][C]0.2142[/C][C]0.415636[/C][/ROW]
[ROW][C]41[/C][C]-0.075951[/C][C]-0.5262[/C][C]0.300584[/C][/ROW]
[ROW][C]42[/C][C]0.049786[/C][C]0.3449[/C][C]0.365827[/C][/ROW]
[ROW][C]43[/C][C]-0.014381[/C][C]-0.0996[/C][C]0.460525[/C][/ROW]
[ROW][C]44[/C][C]-0.004095[/C][C]-0.0284[/C][C]0.488742[/C][/ROW]
[ROW][C]45[/C][C]0.00227[/C][C]0.0157[/C][C]0.493758[/C][/ROW]
[ROW][C]46[/C][C]-0.001876[/C][C]-0.013[/C][C]0.494842[/C][/ROW]
[ROW][C]47[/C][C]0.005091[/C][C]0.0353[/C][C]0.486005[/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]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69167&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69167&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	-0.566145	-3.9224	0.000139
2	0.077016	0.5336	0.298046
3	0.369336	2.5588	0.006855
4	-0.351697	-2.4366	0.009292
5	0.155778	1.0793	0.142932
6	0.161626	1.1198	0.134191
7	-0.38018	-2.634	0.005662
8	0.295925	2.0502	0.022913
9	-0.12635	-0.8754	0.192865
10	-0.090464	-0.6268	0.266896
11	0.160386	1.1112	0.136012
12	-0.13069	-0.9054	0.184875
13	-0.000731	-0.0051	0.497989
14	0.059472	0.412	0.341075
15	0.028258	0.1958	0.422805
16	-0.169637	-1.1753	0.12284
17	0.177312	1.2285	0.112633
18	-0.097413	-0.6749	0.25149
19	-0.070805	-0.4905	0.31299
20	0.173634	1.203	0.117444
21	-0.094466	-0.6545	0.257963
22	-0.180851	-1.253	0.108142
23	0.378959	2.6255	0.005787
24	-0.335662	-2.3255	0.012158
25	0.140292	0.972	0.16797
26	0.066428	0.4602	0.323717
27	-0.156247	-1.0825	0.142217
28	0.105328	0.7297	0.23455
29	0.030561	0.2117	0.416607
30	-0.132376	-0.9171	0.18183
31	0.143949	0.9973	0.161808
32	-0.107403	-0.7441	0.23022
33	0.023987	0.1662	0.434353
34	0.079453	0.5505	0.292277
35	-0.139727	-0.9681	0.168934
36	0.051198	0.3547	0.362181
37	0.0151	0.1046	0.458557
38	-0.048526	-0.3362	0.369093
39	-0.006392	-0.0443	0.48243
40	0.030922	0.2142	0.415636
41	-0.075951	-0.5262	0.300584
42	0.049786	0.3449	0.365827
43	-0.014381	-0.0996	0.460525
44	-0.004095	-0.0284	0.488742
45	0.00227	0.0157	0.493758
46	-0.001876	-0.013	0.494842
47	0.005091	0.0353	0.486005
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
60	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.566145	-3.9224	0.000139
2	-0.358369	-2.4829	0.008291
3	0.38107	2.6401	0.005573
4	0.202815	1.4051	0.083209
5	0.002027	0.014	0.494426
6	0.104736	0.7256	0.235794
7	-0.244622	-1.6948	0.048297
8	-0.168536	-1.1677	0.124357
9	-0.153756	-1.0653	0.146046
10	0.044341	0.3072	0.380008
11	0.105317	0.7297	0.234573
12	0.100116	0.6936	0.24563
13	0.030528	0.2115	0.416696
14	-0.161833	-1.1212	0.133888
15	0.136537	0.946	0.174454
16	-0.186769	-1.294	0.100933
17	-0.087962	-0.6094	0.272561
18	-0.067381	-0.4668	0.321368
19	-0.053874	-0.3732	0.355303
20	0.130609	0.9049	0.185023
21	0.236508	1.6386	0.05392
22	-0.157886	-1.0939	0.139737
23	-0.047006	-0.3257	0.373045
24	-0.068587	-0.4752	0.318404
25	0.015986	0.1108	0.456135
26	-0.098909	-0.6853	0.248237
27	0.113891	0.7891	0.216979
28	0.02034	0.1409	0.444261
29	-0.039192	-0.2715	0.393574
30	0.047437	0.3287	0.371925
31	-0.007464	-0.0517	0.479486
32	-0.089444	-0.6197	0.269197
33	-0.028933	-0.2005	0.420986
34	0.059037	0.409	0.342172
35	-0.080301	-0.5563	0.29028
36	-0.10093	-0.6993	0.243881
37	-0.021601	-0.1497	0.440831
38	-0.075055	-0.52	0.302729
39	0.051637	0.3578	0.361048
40	0.004014	0.0278	0.488965
41	-0.004049	-0.0281	0.488868
42	0.017977	0.1245	0.4507
43	-0.041177	-0.2853	0.388327
44	-0.110791	-0.7676	0.223247
45	0.061046	0.4229	0.337114
46	-0.056751	-0.3932	0.347962
47	-0.000273	-0.0019	0.499251
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
60	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.566145 & -3.9224 & 0.000139 \tabularnewline
2 & -0.358369 & -2.4829 & 0.008291 \tabularnewline
3 & 0.38107 & 2.6401 & 0.005573 \tabularnewline
4 & 0.202815 & 1.4051 & 0.083209 \tabularnewline
5 & 0.002027 & 0.014 & 0.494426 \tabularnewline
6 & 0.104736 & 0.7256 & 0.235794 \tabularnewline
7 & -0.244622 & -1.6948 & 0.048297 \tabularnewline
8 & -0.168536 & -1.1677 & 0.124357 \tabularnewline
9 & -0.153756 & -1.0653 & 0.146046 \tabularnewline
10 & 0.044341 & 0.3072 & 0.380008 \tabularnewline
11 & 0.105317 & 0.7297 & 0.234573 \tabularnewline
12 & 0.100116 & 0.6936 & 0.24563 \tabularnewline
13 & 0.030528 & 0.2115 & 0.416696 \tabularnewline
14 & -0.161833 & -1.1212 & 0.133888 \tabularnewline
15 & 0.136537 & 0.946 & 0.174454 \tabularnewline
16 & -0.186769 & -1.294 & 0.100933 \tabularnewline
17 & -0.087962 & -0.6094 & 0.272561 \tabularnewline
18 & -0.067381 & -0.4668 & 0.321368 \tabularnewline
19 & -0.053874 & -0.3732 & 0.355303 \tabularnewline
20 & 0.130609 & 0.9049 & 0.185023 \tabularnewline
21 & 0.236508 & 1.6386 & 0.05392 \tabularnewline
22 & -0.157886 & -1.0939 & 0.139737 \tabularnewline
23 & -0.047006 & -0.3257 & 0.373045 \tabularnewline
24 & -0.068587 & -0.4752 & 0.318404 \tabularnewline
25 & 0.015986 & 0.1108 & 0.456135 \tabularnewline
26 & -0.098909 & -0.6853 & 0.248237 \tabularnewline
27 & 0.113891 & 0.7891 & 0.216979 \tabularnewline
28 & 0.02034 & 0.1409 & 0.444261 \tabularnewline
29 & -0.039192 & -0.2715 & 0.393574 \tabularnewline
30 & 0.047437 & 0.3287 & 0.371925 \tabularnewline
31 & -0.007464 & -0.0517 & 0.479486 \tabularnewline
32 & -0.089444 & -0.6197 & 0.269197 \tabularnewline
33 & -0.028933 & -0.2005 & 0.420986 \tabularnewline
34 & 0.059037 & 0.409 & 0.342172 \tabularnewline
35 & -0.080301 & -0.5563 & 0.29028 \tabularnewline
36 & -0.10093 & -0.6993 & 0.243881 \tabularnewline
37 & -0.021601 & -0.1497 & 0.440831 \tabularnewline
38 & -0.075055 & -0.52 & 0.302729 \tabularnewline
39 & 0.051637 & 0.3578 & 0.361048 \tabularnewline
40 & 0.004014 & 0.0278 & 0.488965 \tabularnewline
41 & -0.004049 & -0.0281 & 0.488868 \tabularnewline
42 & 0.017977 & 0.1245 & 0.4507 \tabularnewline
43 & -0.041177 & -0.2853 & 0.388327 \tabularnewline
44 & -0.110791 & -0.7676 & 0.223247 \tabularnewline
45 & 0.061046 & 0.4229 & 0.337114 \tabularnewline
46 & -0.056751 & -0.3932 & 0.347962 \tabularnewline
47 & -0.000273 & -0.0019 & 0.499251 \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
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69167&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]-0.566145[/C][C]-3.9224[/C][C]0.000139[/C][/ROW]
[ROW][C]2[/C][C]-0.358369[/C][C]-2.4829[/C][C]0.008291[/C][/ROW]
[ROW][C]3[/C][C]0.38107[/C][C]2.6401[/C][C]0.005573[/C][/ROW]
[ROW][C]4[/C][C]0.202815[/C][C]1.4051[/C][C]0.083209[/C][/ROW]
[ROW][C]5[/C][C]0.002027[/C][C]0.014[/C][C]0.494426[/C][/ROW]
[ROW][C]6[/C][C]0.104736[/C][C]0.7256[/C][C]0.235794[/C][/ROW]
[ROW][C]7[/C][C]-0.244622[/C][C]-1.6948[/C][C]0.048297[/C][/ROW]
[ROW][C]8[/C][C]-0.168536[/C][C]-1.1677[/C][C]0.124357[/C][/ROW]
[ROW][C]9[/C][C]-0.153756[/C][C]-1.0653[/C][C]0.146046[/C][/ROW]
[ROW][C]10[/C][C]0.044341[/C][C]0.3072[/C][C]0.380008[/C][/ROW]
[ROW][C]11[/C][C]0.105317[/C][C]0.7297[/C][C]0.234573[/C][/ROW]
[ROW][C]12[/C][C]0.100116[/C][C]0.6936[/C][C]0.24563[/C][/ROW]
[ROW][C]13[/C][C]0.030528[/C][C]0.2115[/C][C]0.416696[/C][/ROW]
[ROW][C]14[/C][C]-0.161833[/C][C]-1.1212[/C][C]0.133888[/C][/ROW]
[ROW][C]15[/C][C]0.136537[/C][C]0.946[/C][C]0.174454[/C][/ROW]
[ROW][C]16[/C][C]-0.186769[/C][C]-1.294[/C][C]0.100933[/C][/ROW]
[ROW][C]17[/C][C]-0.087962[/C][C]-0.6094[/C][C]0.272561[/C][/ROW]
[ROW][C]18[/C][C]-0.067381[/C][C]-0.4668[/C][C]0.321368[/C][/ROW]
[ROW][C]19[/C][C]-0.053874[/C][C]-0.3732[/C][C]0.355303[/C][/ROW]
[ROW][C]20[/C][C]0.130609[/C][C]0.9049[/C][C]0.185023[/C][/ROW]
[ROW][C]21[/C][C]0.236508[/C][C]1.6386[/C][C]0.05392[/C][/ROW]
[ROW][C]22[/C][C]-0.157886[/C][C]-1.0939[/C][C]0.139737[/C][/ROW]
[ROW][C]23[/C][C]-0.047006[/C][C]-0.3257[/C][C]0.373045[/C][/ROW]
[ROW][C]24[/C][C]-0.068587[/C][C]-0.4752[/C][C]0.318404[/C][/ROW]
[ROW][C]25[/C][C]0.015986[/C][C]0.1108[/C][C]0.456135[/C][/ROW]
[ROW][C]26[/C][C]-0.098909[/C][C]-0.6853[/C][C]0.248237[/C][/ROW]
[ROW][C]27[/C][C]0.113891[/C][C]0.7891[/C][C]0.216979[/C][/ROW]
[ROW][C]28[/C][C]0.02034[/C][C]0.1409[/C][C]0.444261[/C][/ROW]
[ROW][C]29[/C][C]-0.039192[/C][C]-0.2715[/C][C]0.393574[/C][/ROW]
[ROW][C]30[/C][C]0.047437[/C][C]0.3287[/C][C]0.371925[/C][/ROW]
[ROW][C]31[/C][C]-0.007464[/C][C]-0.0517[/C][C]0.479486[/C][/ROW]
[ROW][C]32[/C][C]-0.089444[/C][C]-0.6197[/C][C]0.269197[/C][/ROW]
[ROW][C]33[/C][C]-0.028933[/C][C]-0.2005[/C][C]0.420986[/C][/ROW]
[ROW][C]34[/C][C]0.059037[/C][C]0.409[/C][C]0.342172[/C][/ROW]
[ROW][C]35[/C][C]-0.080301[/C][C]-0.5563[/C][C]0.29028[/C][/ROW]
[ROW][C]36[/C][C]-0.10093[/C][C]-0.6993[/C][C]0.243881[/C][/ROW]
[ROW][C]37[/C][C]-0.021601[/C][C]-0.1497[/C][C]0.440831[/C][/ROW]
[ROW][C]38[/C][C]-0.075055[/C][C]-0.52[/C][C]0.302729[/C][/ROW]
[ROW][C]39[/C][C]0.051637[/C][C]0.3578[/C][C]0.361048[/C][/ROW]
[ROW][C]40[/C][C]0.004014[/C][C]0.0278[/C][C]0.488965[/C][/ROW]
[ROW][C]41[/C][C]-0.004049[/C][C]-0.0281[/C][C]0.488868[/C][/ROW]
[ROW][C]42[/C][C]0.017977[/C][C]0.1245[/C][C]0.4507[/C][/ROW]
[ROW][C]43[/C][C]-0.041177[/C][C]-0.2853[/C][C]0.388327[/C][/ROW]
[ROW][C]44[/C][C]-0.110791[/C][C]-0.7676[/C][C]0.223247[/C][/ROW]
[ROW][C]45[/C][C]0.061046[/C][C]0.4229[/C][C]0.337114[/C][/ROW]
[ROW][C]46[/C][C]-0.056751[/C][C]-0.3932[/C][C]0.347962[/C][/ROW]
[ROW][C]47[/C][C]-0.000273[/C][C]-0.0019[/C][C]0.499251[/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]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69167&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69167&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	-0.566145	-3.9224	0.000139
2	-0.358369	-2.4829	0.008291
3	0.38107	2.6401	0.005573
4	0.202815	1.4051	0.083209
5	0.002027	0.014	0.494426
6	0.104736	0.7256	0.235794
7	-0.244622	-1.6948	0.048297
8	-0.168536	-1.1677	0.124357
9	-0.153756	-1.0653	0.146046
10	0.044341	0.3072	0.380008
11	0.105317	0.7297	0.234573
12	0.100116	0.6936	0.24563
13	0.030528	0.2115	0.416696
14	-0.161833	-1.1212	0.133888
15	0.136537	0.946	0.174454
16	-0.186769	-1.294	0.100933
17	-0.087962	-0.6094	0.272561
18	-0.067381	-0.4668	0.321368
19	-0.053874	-0.3732	0.355303
20	0.130609	0.9049	0.185023
21	0.236508	1.6386	0.05392
22	-0.157886	-1.0939	0.139737
23	-0.047006	-0.3257	0.373045
24	-0.068587	-0.4752	0.318404
25	0.015986	0.1108	0.456135
26	-0.098909	-0.6853	0.248237
27	0.113891	0.7891	0.216979
28	0.02034	0.1409	0.444261
29	-0.039192	-0.2715	0.393574
30	0.047437	0.3287	0.371925
31	-0.007464	-0.0517	0.479486
32	-0.089444	-0.6197	0.269197
33	-0.028933	-0.2005	0.420986
34	0.059037	0.409	0.342172
35	-0.080301	-0.5563	0.29028
36	-0.10093	-0.6993	0.243881
37	-0.021601	-0.1497	0.440831
38	-0.075055	-0.52	0.302729
39	0.051637	0.3578	0.361048
40	0.004014	0.0278	0.488965
41	-0.004049	-0.0281	0.488868
42	0.017977	0.1245	0.4507
43	-0.041177	-0.2853	0.388327
44	-0.110791	-0.7676	0.223247
45	0.061046	0.4229	0.337114
46	-0.056751	-0.3932	0.347962
47	-0.000273	-0.0019	0.499251
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
60	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = ;

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