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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 03 Dec 2009 14:11:09 -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/03/t12598747423ua2oxeg7q654xb.htm/, Retrieved Sat, 20 Apr 2024 06:58:45 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63122, Retrieved Sat, 20 Apr 2024 06:58:45 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

143

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

-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
F   PD        [(Partial) Autocorrelation Function] [Workshop 8] [2009-11-24 11:54:35] [214e6e00abbde49700521a7ef1d30da2]
-   P             [(Partial) Autocorrelation Function] [W8. herberekening] [2009-12-03 21:11:09] [852eae237d08746109043531619a60c9] [Current]

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Dataseries X:

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Histogram

Boxplots

11.1
10.9
10
9.2
9.2
9.5
9.6
9.5
9.1
8.9
9
10.1
10.3
10.2
9.6
9.2
9.3
9.4
9.4
9.2
9
9
9
9.8
10
9.8
9.3
9
9
9.1
9.1
9.1
9.2
8.8
8.3
8.4
8.1
7.7
7.9
7.9
8
7.9
7.6
7.1
6.8
6.5
6.9
8.2
8.7
8.3
7.9
7.5
7.8
8.3
8.4
8.2
7.7
7.2
7.3
8.1

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=63122&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=63122&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63122&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	0.888865	5.3332	3e-06
2	0.643929	3.8636	0.000224
3	0.394391	2.3663	0.011733
4	0.242376	1.4543	0.077269
5	0.216634	1.2998	0.100965
6	0.267206	1.6032	0.058811
7	0.304913	1.8295	0.03781
8	0.251626	1.5098	0.069917
9	0.086716	0.5203	0.303021
10	-0.140693	-0.8442	0.202078
11	-0.335702	-2.0142	0.025753
12	-0.434891	-2.6093	0.006566
13	-0.418051	-2.5083	0.008388
14	-0.331729	-1.9904	0.027092
15	-0.242666	-1.456	0.07703
16	-0.197342	-1.1841	0.122076
17	-0.200809	-1.2049	0.11806
18	-0.237362	-1.4242	0.081504
19	-0.273444	-1.6407	0.054788
20	-0.274209	-1.6453	0.054311
21	-0.229237	-1.3754	0.08875
22	-0.152394	-0.9144	0.183305
23	-0.081935	-0.4916	0.31299
24	-0.040772	-0.2446	0.404065
25	-0.029748	-0.1785	0.429671
26	-0.040754	-0.2445	0.404107
27	-0.055374	-0.3322	0.370817
28	-0.054258	-0.3255	0.373325
29	-0.03869	-0.2321	0.408871
30	-0.017904	-0.1074	0.457525
31	0.002824	0.0169	0.493287
32	0.012096	0.0726	0.471273
33	0.011419	0.0685	0.472877
34	0.005338	0.032	0.487313
35	-0.000371	-0.0022	0.499117
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
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 & 0.888865 & 5.3332 & 3e-06 \tabularnewline
2 & 0.643929 & 3.8636 & 0.000224 \tabularnewline
3 & 0.394391 & 2.3663 & 0.011733 \tabularnewline
4 & 0.242376 & 1.4543 & 0.077269 \tabularnewline
5 & 0.216634 & 1.2998 & 0.100965 \tabularnewline
6 & 0.267206 & 1.6032 & 0.058811 \tabularnewline
7 & 0.304913 & 1.8295 & 0.03781 \tabularnewline
8 & 0.251626 & 1.5098 & 0.069917 \tabularnewline
9 & 0.086716 & 0.5203 & 0.303021 \tabularnewline
10 & -0.140693 & -0.8442 & 0.202078 \tabularnewline
11 & -0.335702 & -2.0142 & 0.025753 \tabularnewline
12 & -0.434891 & -2.6093 & 0.006566 \tabularnewline
13 & -0.418051 & -2.5083 & 0.008388 \tabularnewline
14 & -0.331729 & -1.9904 & 0.027092 \tabularnewline
15 & -0.242666 & -1.456 & 0.07703 \tabularnewline
16 & -0.197342 & -1.1841 & 0.122076 \tabularnewline
17 & -0.200809 & -1.2049 & 0.11806 \tabularnewline
18 & -0.237362 & -1.4242 & 0.081504 \tabularnewline
19 & -0.273444 & -1.6407 & 0.054788 \tabularnewline
20 & -0.274209 & -1.6453 & 0.054311 \tabularnewline
21 & -0.229237 & -1.3754 & 0.08875 \tabularnewline
22 & -0.152394 & -0.9144 & 0.183305 \tabularnewline
23 & -0.081935 & -0.4916 & 0.31299 \tabularnewline
24 & -0.040772 & -0.2446 & 0.404065 \tabularnewline
25 & -0.029748 & -0.1785 & 0.429671 \tabularnewline
26 & -0.040754 & -0.2445 & 0.404107 \tabularnewline
27 & -0.055374 & -0.3322 & 0.370817 \tabularnewline
28 & -0.054258 & -0.3255 & 0.373325 \tabularnewline
29 & -0.03869 & -0.2321 & 0.408871 \tabularnewline
30 & -0.017904 & -0.1074 & 0.457525 \tabularnewline
31 & 0.002824 & 0.0169 & 0.493287 \tabularnewline
32 & 0.012096 & 0.0726 & 0.471273 \tabularnewline
33 & 0.011419 & 0.0685 & 0.472877 \tabularnewline
34 & 0.005338 & 0.032 & 0.487313 \tabularnewline
35 & -0.000371 & -0.0022 & 0.499117 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \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=63122&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]0.888865[/C][C]5.3332[/C][C]3e-06[/C][/ROW]
[ROW][C]2[/C][C]0.643929[/C][C]3.8636[/C][C]0.000224[/C][/ROW]
[ROW][C]3[/C][C]0.394391[/C][C]2.3663[/C][C]0.011733[/C][/ROW]
[ROW][C]4[/C][C]0.242376[/C][C]1.4543[/C][C]0.077269[/C][/ROW]
[ROW][C]5[/C][C]0.216634[/C][C]1.2998[/C][C]0.100965[/C][/ROW]
[ROW][C]6[/C][C]0.267206[/C][C]1.6032[/C][C]0.058811[/C][/ROW]
[ROW][C]7[/C][C]0.304913[/C][C]1.8295[/C][C]0.03781[/C][/ROW]
[ROW][C]8[/C][C]0.251626[/C][C]1.5098[/C][C]0.069917[/C][/ROW]
[ROW][C]9[/C][C]0.086716[/C][C]0.5203[/C][C]0.303021[/C][/ROW]
[ROW][C]10[/C][C]-0.140693[/C][C]-0.8442[/C][C]0.202078[/C][/ROW]
[ROW][C]11[/C][C]-0.335702[/C][C]-2.0142[/C][C]0.025753[/C][/ROW]
[ROW][C]12[/C][C]-0.434891[/C][C]-2.6093[/C][C]0.006566[/C][/ROW]
[ROW][C]13[/C][C]-0.418051[/C][C]-2.5083[/C][C]0.008388[/C][/ROW]
[ROW][C]14[/C][C]-0.331729[/C][C]-1.9904[/C][C]0.027092[/C][/ROW]
[ROW][C]15[/C][C]-0.242666[/C][C]-1.456[/C][C]0.07703[/C][/ROW]
[ROW][C]16[/C][C]-0.197342[/C][C]-1.1841[/C][C]0.122076[/C][/ROW]
[ROW][C]17[/C][C]-0.200809[/C][C]-1.2049[/C][C]0.11806[/C][/ROW]
[ROW][C]18[/C][C]-0.237362[/C][C]-1.4242[/C][C]0.081504[/C][/ROW]
[ROW][C]19[/C][C]-0.273444[/C][C]-1.6407[/C][C]0.054788[/C][/ROW]
[ROW][C]20[/C][C]-0.274209[/C][C]-1.6453[/C][C]0.054311[/C][/ROW]
[ROW][C]21[/C][C]-0.229237[/C][C]-1.3754[/C][C]0.08875[/C][/ROW]
[ROW][C]22[/C][C]-0.152394[/C][C]-0.9144[/C][C]0.183305[/C][/ROW]
[ROW][C]23[/C][C]-0.081935[/C][C]-0.4916[/C][C]0.31299[/C][/ROW]
[ROW][C]24[/C][C]-0.040772[/C][C]-0.2446[/C][C]0.404065[/C][/ROW]
[ROW][C]25[/C][C]-0.029748[/C][C]-0.1785[/C][C]0.429671[/C][/ROW]
[ROW][C]26[/C][C]-0.040754[/C][C]-0.2445[/C][C]0.404107[/C][/ROW]
[ROW][C]27[/C][C]-0.055374[/C][C]-0.3322[/C][C]0.370817[/C][/ROW]
[ROW][C]28[/C][C]-0.054258[/C][C]-0.3255[/C][C]0.373325[/C][/ROW]
[ROW][C]29[/C][C]-0.03869[/C][C]-0.2321[/C][C]0.408871[/C][/ROW]
[ROW][C]30[/C][C]-0.017904[/C][C]-0.1074[/C][C]0.457525[/C][/ROW]
[ROW][C]31[/C][C]0.002824[/C][C]0.0169[/C][C]0.493287[/C][/ROW]
[ROW][C]32[/C][C]0.012096[/C][C]0.0726[/C][C]0.471273[/C][/ROW]
[ROW][C]33[/C][C]0.011419[/C][C]0.0685[/C][C]0.472877[/C][/ROW]
[ROW][C]34[/C][C]0.005338[/C][C]0.032[/C][C]0.487313[/C][/ROW]
[ROW][C]35[/C][C]-0.000371[/C][C]-0.0022[/C][C]0.499117[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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=63122&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63122&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	0.888865	5.3332	3e-06
2	0.643929	3.8636	0.000224
3	0.394391	2.3663	0.011733
4	0.242376	1.4543	0.077269
5	0.216634	1.2998	0.100965
6	0.267206	1.6032	0.058811
7	0.304913	1.8295	0.03781
8	0.251626	1.5098	0.069917
9	0.086716	0.5203	0.303021
10	-0.140693	-0.8442	0.202078
11	-0.335702	-2.0142	0.025753
12	-0.434891	-2.6093	0.006566
13	-0.418051	-2.5083	0.008388
14	-0.331729	-1.9904	0.027092
15	-0.242666	-1.456	0.07703
16	-0.197342	-1.1841	0.122076
17	-0.200809	-1.2049	0.11806
18	-0.237362	-1.4242	0.081504
19	-0.273444	-1.6407	0.054788
20	-0.274209	-1.6453	0.054311
21	-0.229237	-1.3754	0.08875
22	-0.152394	-0.9144	0.183305
23	-0.081935	-0.4916	0.31299
24	-0.040772	-0.2446	0.404065
25	-0.029748	-0.1785	0.429671
26	-0.040754	-0.2445	0.404107
27	-0.055374	-0.3322	0.370817
28	-0.054258	-0.3255	0.373325
29	-0.03869	-0.2321	0.408871
30	-0.017904	-0.1074	0.457525
31	0.002824	0.0169	0.493287
32	0.012096	0.0726	0.471273
33	0.011419	0.0685	0.472877
34	0.005338	0.032	0.487313
35	-0.000371	-0.0022	0.499117
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
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	0.888865	5.3332	3e-06
2	-0.696233	-4.1774	9e-05
3	0.391835	2.351	0.012159
4	0.225074	1.3504	0.092651
5	0.062965	0.3778	0.353902
6	-0.095637	-0.5738	0.284829
7	-0.16286	-0.9772	0.167506
8	-0.24229	-1.4537	0.07734
9	-0.197836	-1.187	0.121498
10	-0.104086	-0.6245	0.268114
11	0.06257	0.3754	0.354776
12	-0.149905	-0.8994	0.1872
13	0.127331	0.764	0.224928
14	-0.084612	-0.5077	0.30739
15	0.109482	0.6569	0.257714
16	0.103562	0.6214	0.269134
17	0.120322	0.7219	0.2375
18	-0.179786	-1.0787	0.143944
19	-0.050188	-0.3011	0.382525
20	-0.057234	-0.3434	0.366647
21	-0.066794	-0.4008	0.345482
22	-0.102541	-0.6152	0.271131
23	-0.110255	-0.6615	0.256243
24	-0.026209	-0.1573	0.437962
25	0.066443	0.3987	0.346251
26	-0.064163	-0.385	0.351259
27	0.136935	0.8216	0.208353
28	0.039901	0.2394	0.406074
29	-0.04909	-0.2945	0.385018
30	-0.039031	-0.2342	0.408083
31	0.066594	0.3996	0.345919
32	-0.135443	-0.8127	0.210879
33	-0.002298	-0.0138	0.494537
34	-0.104167	-0.625	0.267956
35	-0.047987	-0.2879	0.387528
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
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 & 0.888865 & 5.3332 & 3e-06 \tabularnewline
2 & -0.696233 & -4.1774 & 9e-05 \tabularnewline
3 & 0.391835 & 2.351 & 0.012159 \tabularnewline
4 & 0.225074 & 1.3504 & 0.092651 \tabularnewline
5 & 0.062965 & 0.3778 & 0.353902 \tabularnewline
6 & -0.095637 & -0.5738 & 0.284829 \tabularnewline
7 & -0.16286 & -0.9772 & 0.167506 \tabularnewline
8 & -0.24229 & -1.4537 & 0.07734 \tabularnewline
9 & -0.197836 & -1.187 & 0.121498 \tabularnewline
10 & -0.104086 & -0.6245 & 0.268114 \tabularnewline
11 & 0.06257 & 0.3754 & 0.354776 \tabularnewline
12 & -0.149905 & -0.8994 & 0.1872 \tabularnewline
13 & 0.127331 & 0.764 & 0.224928 \tabularnewline
14 & -0.084612 & -0.5077 & 0.30739 \tabularnewline
15 & 0.109482 & 0.6569 & 0.257714 \tabularnewline
16 & 0.103562 & 0.6214 & 0.269134 \tabularnewline
17 & 0.120322 & 0.7219 & 0.2375 \tabularnewline
18 & -0.179786 & -1.0787 & 0.143944 \tabularnewline
19 & -0.050188 & -0.3011 & 0.382525 \tabularnewline
20 & -0.057234 & -0.3434 & 0.366647 \tabularnewline
21 & -0.066794 & -0.4008 & 0.345482 \tabularnewline
22 & -0.102541 & -0.6152 & 0.271131 \tabularnewline
23 & -0.110255 & -0.6615 & 0.256243 \tabularnewline
24 & -0.026209 & -0.1573 & 0.437962 \tabularnewline
25 & 0.066443 & 0.3987 & 0.346251 \tabularnewline
26 & -0.064163 & -0.385 & 0.351259 \tabularnewline
27 & 0.136935 & 0.8216 & 0.208353 \tabularnewline
28 & 0.039901 & 0.2394 & 0.406074 \tabularnewline
29 & -0.04909 & -0.2945 & 0.385018 \tabularnewline
30 & -0.039031 & -0.2342 & 0.408083 \tabularnewline
31 & 0.066594 & 0.3996 & 0.345919 \tabularnewline
32 & -0.135443 & -0.8127 & 0.210879 \tabularnewline
33 & -0.002298 & -0.0138 & 0.494537 \tabularnewline
34 & -0.104167 & -0.625 & 0.267956 \tabularnewline
35 & -0.047987 & -0.2879 & 0.387528 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \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=63122&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]0.888865[/C][C]5.3332[/C][C]3e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.696233[/C][C]-4.1774[/C][C]9e-05[/C][/ROW]
[ROW][C]3[/C][C]0.391835[/C][C]2.351[/C][C]0.012159[/C][/ROW]
[ROW][C]4[/C][C]0.225074[/C][C]1.3504[/C][C]0.092651[/C][/ROW]
[ROW][C]5[/C][C]0.062965[/C][C]0.3778[/C][C]0.353902[/C][/ROW]
[ROW][C]6[/C][C]-0.095637[/C][C]-0.5738[/C][C]0.284829[/C][/ROW]
[ROW][C]7[/C][C]-0.16286[/C][C]-0.9772[/C][C]0.167506[/C][/ROW]
[ROW][C]8[/C][C]-0.24229[/C][C]-1.4537[/C][C]0.07734[/C][/ROW]
[ROW][C]9[/C][C]-0.197836[/C][C]-1.187[/C][C]0.121498[/C][/ROW]
[ROW][C]10[/C][C]-0.104086[/C][C]-0.6245[/C][C]0.268114[/C][/ROW]
[ROW][C]11[/C][C]0.06257[/C][C]0.3754[/C][C]0.354776[/C][/ROW]
[ROW][C]12[/C][C]-0.149905[/C][C]-0.8994[/C][C]0.1872[/C][/ROW]
[ROW][C]13[/C][C]0.127331[/C][C]0.764[/C][C]0.224928[/C][/ROW]
[ROW][C]14[/C][C]-0.084612[/C][C]-0.5077[/C][C]0.30739[/C][/ROW]
[ROW][C]15[/C][C]0.109482[/C][C]0.6569[/C][C]0.257714[/C][/ROW]
[ROW][C]16[/C][C]0.103562[/C][C]0.6214[/C][C]0.269134[/C][/ROW]
[ROW][C]17[/C][C]0.120322[/C][C]0.7219[/C][C]0.2375[/C][/ROW]
[ROW][C]18[/C][C]-0.179786[/C][C]-1.0787[/C][C]0.143944[/C][/ROW]
[ROW][C]19[/C][C]-0.050188[/C][C]-0.3011[/C][C]0.382525[/C][/ROW]
[ROW][C]20[/C][C]-0.057234[/C][C]-0.3434[/C][C]0.366647[/C][/ROW]
[ROW][C]21[/C][C]-0.066794[/C][C]-0.4008[/C][C]0.345482[/C][/ROW]
[ROW][C]22[/C][C]-0.102541[/C][C]-0.6152[/C][C]0.271131[/C][/ROW]
[ROW][C]23[/C][C]-0.110255[/C][C]-0.6615[/C][C]0.256243[/C][/ROW]
[ROW][C]24[/C][C]-0.026209[/C][C]-0.1573[/C][C]0.437962[/C][/ROW]
[ROW][C]25[/C][C]0.066443[/C][C]0.3987[/C][C]0.346251[/C][/ROW]
[ROW][C]26[/C][C]-0.064163[/C][C]-0.385[/C][C]0.351259[/C][/ROW]
[ROW][C]27[/C][C]0.136935[/C][C]0.8216[/C][C]0.208353[/C][/ROW]
[ROW][C]28[/C][C]0.039901[/C][C]0.2394[/C][C]0.406074[/C][/ROW]
[ROW][C]29[/C][C]-0.04909[/C][C]-0.2945[/C][C]0.385018[/C][/ROW]
[ROW][C]30[/C][C]-0.039031[/C][C]-0.2342[/C][C]0.408083[/C][/ROW]
[ROW][C]31[/C][C]0.066594[/C][C]0.3996[/C][C]0.345919[/C][/ROW]
[ROW][C]32[/C][C]-0.135443[/C][C]-0.8127[/C][C]0.210879[/C][/ROW]
[ROW][C]33[/C][C]-0.002298[/C][C]-0.0138[/C][C]0.494537[/C][/ROW]
[ROW][C]34[/C][C]-0.104167[/C][C]-0.625[/C][C]0.267956[/C][/ROW]
[ROW][C]35[/C][C]-0.047987[/C][C]-0.2879[/C][C]0.387528[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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=63122&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63122&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	0.888865	5.3332	3e-06
2	-0.696233	-4.1774	9e-05
3	0.391835	2.351	0.012159
4	0.225074	1.3504	0.092651
5	0.062965	0.3778	0.353902
6	-0.095637	-0.5738	0.284829
7	-0.16286	-0.9772	0.167506
8	-0.24229	-1.4537	0.07734
9	-0.197836	-1.187	0.121498
10	-0.104086	-0.6245	0.268114
11	0.06257	0.3754	0.354776
12	-0.149905	-0.8994	0.1872
13	0.127331	0.764	0.224928
14	-0.084612	-0.5077	0.30739
15	0.109482	0.6569	0.257714
16	0.103562	0.6214	0.269134
17	0.120322	0.7219	0.2375
18	-0.179786	-1.0787	0.143944
19	-0.050188	-0.3011	0.382525
20	-0.057234	-0.3434	0.366647
21	-0.066794	-0.4008	0.345482
22	-0.102541	-0.6152	0.271131
23	-0.110255	-0.6615	0.256243
24	-0.026209	-0.1573	0.437962
25	0.066443	0.3987	0.346251
26	-0.064163	-0.385	0.351259
27	0.136935	0.8216	0.208353
28	0.039901	0.2394	0.406074
29	-0.04909	-0.2945	0.385018
30	-0.039031	-0.2342	0.408083
31	0.066594	0.3996	0.345919
32	-0.135443	-0.8127	0.210879
33	-0.002298	-0.0138	0.494537
34	-0.104167	-0.625	0.267956
35	-0.047987	-0.2879	0.387528
36	NA	NA	NA
37	NA	NA	NA
38	NA	NA	NA
39	NA	NA	NA
40	NA	NA	NA
41	NA	NA	NA
42	NA	NA	NA
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
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 = 0 ; par4 = 2 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

Parameters (R input):

par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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