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Author

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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 24 Dec 2010 10:09:53 +0000

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/2010/Dec/24/t12931852827mfglsgw5rrms9v.htm/, Retrieved Tue, 30 Apr 2024 03:47:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114692, Retrieved Tue, 30 Apr 2024 03:47:44 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

191

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]
-    D        [(Partial) Autocorrelation Function] [Model 1 (d = 0, D...] [2009-11-24 17:27:24] [ee7c2e7343f5b1451e62c5c16ec521f1]
-    D          [(Partial) Autocorrelation Function] [Methode 1 (D=0, d=0)] [2009-11-27 12:01:23] [76ab39dc7a55316678260825bd5ad46c]
-    D            [(Partial) Autocorrelation Function] [methode 1 (d=0 D= 0)] [2009-11-27 20:21:42] [4b453aa14d54730625f8d3de5f1f6d82]
-    D              [(Partial) Autocorrelation Function] [koffie en thee] [2009-12-16 19:04:55] [7773f496f69461f4a67891f0ef752622]
-    D                [(Partial) Autocorrelation Function] [Appelen Jonagold ...] [2009-12-17 16:51:16] [7773f496f69461f4a67891f0ef752622]
-   PD                  [(Partial) Autocorrelation Function] [ACFKoffie] [2010-12-20 13:05:39] [3fb95cad3bbcce10c72dbbcc5bec5662]
-   PD                      [(Partial) Autocorrelation Function] [ACFKoffied1D1] [2010-12-24 10:09:53] [9be3691a9b6ce074cb51fd18377fce28] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

1.64
1.65
1.65
1.65
1.66
1.66
1.67
1.67
1.68
1.68
1.68
1.68
1.69
1.69
1.7
1.7
1.71
1.71
1.71
1.71
1.72
1.72
1.72
1.73
1.73
1.73
1.74
1.75
1.75
1.76
1.76
1.77
1.77
1.78
1.79
1.8
1.8
1.81
1.81
1.81
1.81
1.82
1.82
1.82
1.83
1.83
1.83
1.84
1.84
1.85
1.85
1.86
1.86
1.86
1.86
1.86

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114692&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114692&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114692&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.286057	-1.8758	0.033741
2	-0.00116	-0.0076	0.496982
3	-7.7e-05	-5e-04	0.499799
4	0.238256	1.5623	0.062768
5	-0.33494	-2.1964	0.016754
6	0.047517	0.3116	0.378429
7	0.238179	1.5618	0.062828
8	0.095137	0.6239	0.268008
9	-0.333935	-2.1898	0.017007
10	0.048523	0.3182	0.375943
11	0.096169	0.6306	0.265813
12	-0.285232	-1.8704	0.034123
13	-0.04579	-0.3003	0.382712
14	0.0972	0.6374	0.263627
15	0.143737	0.9425	0.175589
16	-0.331898	-2.1764	0.017532
17	0.144795	0.9495	0.173841
18	-0.04481	-0.2938	0.385147
19	-0.047053	-0.3085	0.379578
20	-0.04597	-0.3014	0.382263
21	0.143583	0.9415	0.175845
22	-0.001676	-0.011	0.495641
23	-0.050482	-0.331	0.371114
24	-0.097071	-0.6365	0.2639
25	0.091373	0.5992	0.2761
26	-0.050559	-0.3315	0.370923
27	-0.002913	-0.0191	0.492423
28	0.093513	0.6132	0.271485
29	-0.002965	-0.0194	0.492289
30	0.044681	0.293	0.385468
31	-0.097252	-0.6377	0.263518
32	-0.001934	-0.0127	0.494971
33	-0.001959	-0.0128	0.494904
34	-0.000877	-0.0057	0.49772
35	0.046769	0.3067	0.380281
36	-0.000928	-0.0061	0.497586
37	0.046718	0.3063	0.380408
38	-0.047543	-0.3118	0.378365
39	-0.048677	-0.3192	0.375561
40	0.046641	0.3058	0.3806
41	5.2e-05	3e-04	0.499866
42	-0.001083	-0.0071	0.497184
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.286057 & -1.8758 & 0.033741 \tabularnewline
2 & -0.00116 & -0.0076 & 0.496982 \tabularnewline
3 & -7.7e-05 & -5e-04 & 0.499799 \tabularnewline
4 & 0.238256 & 1.5623 & 0.062768 \tabularnewline
5 & -0.33494 & -2.1964 & 0.016754 \tabularnewline
6 & 0.047517 & 0.3116 & 0.378429 \tabularnewline
7 & 0.238179 & 1.5618 & 0.062828 \tabularnewline
8 & 0.095137 & 0.6239 & 0.268008 \tabularnewline
9 & -0.333935 & -2.1898 & 0.017007 \tabularnewline
10 & 0.048523 & 0.3182 & 0.375943 \tabularnewline
11 & 0.096169 & 0.6306 & 0.265813 \tabularnewline
12 & -0.285232 & -1.8704 & 0.034123 \tabularnewline
13 & -0.04579 & -0.3003 & 0.382712 \tabularnewline
14 & 0.0972 & 0.6374 & 0.263627 \tabularnewline
15 & 0.143737 & 0.9425 & 0.175589 \tabularnewline
16 & -0.331898 & -2.1764 & 0.017532 \tabularnewline
17 & 0.144795 & 0.9495 & 0.173841 \tabularnewline
18 & -0.04481 & -0.2938 & 0.385147 \tabularnewline
19 & -0.047053 & -0.3085 & 0.379578 \tabularnewline
20 & -0.04597 & -0.3014 & 0.382263 \tabularnewline
21 & 0.143583 & 0.9415 & 0.175845 \tabularnewline
22 & -0.001676 & -0.011 & 0.495641 \tabularnewline
23 & -0.050482 & -0.331 & 0.371114 \tabularnewline
24 & -0.097071 & -0.6365 & 0.2639 \tabularnewline
25 & 0.091373 & 0.5992 & 0.2761 \tabularnewline
26 & -0.050559 & -0.3315 & 0.370923 \tabularnewline
27 & -0.002913 & -0.0191 & 0.492423 \tabularnewline
28 & 0.093513 & 0.6132 & 0.271485 \tabularnewline
29 & -0.002965 & -0.0194 & 0.492289 \tabularnewline
30 & 0.044681 & 0.293 & 0.385468 \tabularnewline
31 & -0.097252 & -0.6377 & 0.263518 \tabularnewline
32 & -0.001934 & -0.0127 & 0.494971 \tabularnewline
33 & -0.001959 & -0.0128 & 0.494904 \tabularnewline
34 & -0.000877 & -0.0057 & 0.49772 \tabularnewline
35 & 0.046769 & 0.3067 & 0.380281 \tabularnewline
36 & -0.000928 & -0.0061 & 0.497586 \tabularnewline
37 & 0.046718 & 0.3063 & 0.380408 \tabularnewline
38 & -0.047543 & -0.3118 & 0.378365 \tabularnewline
39 & -0.048677 & -0.3192 & 0.375561 \tabularnewline
40 & 0.046641 & 0.3058 & 0.3806 \tabularnewline
41 & 5.2e-05 & 3e-04 & 0.499866 \tabularnewline
42 & -0.001083 & -0.0071 & 0.497184 \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114692&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]-0.286057[/C][C]-1.8758[/C][C]0.033741[/C][/ROW]
[ROW][C]2[/C][C]-0.00116[/C][C]-0.0076[/C][C]0.496982[/C][/ROW]
[ROW][C]3[/C][C]-7.7e-05[/C][C]-5e-04[/C][C]0.499799[/C][/ROW]
[ROW][C]4[/C][C]0.238256[/C][C]1.5623[/C][C]0.062768[/C][/ROW]
[ROW][C]5[/C][C]-0.33494[/C][C]-2.1964[/C][C]0.016754[/C][/ROW]
[ROW][C]6[/C][C]0.047517[/C][C]0.3116[/C][C]0.378429[/C][/ROW]
[ROW][C]7[/C][C]0.238179[/C][C]1.5618[/C][C]0.062828[/C][/ROW]
[ROW][C]8[/C][C]0.095137[/C][C]0.6239[/C][C]0.268008[/C][/ROW]
[ROW][C]9[/C][C]-0.333935[/C][C]-2.1898[/C][C]0.017007[/C][/ROW]
[ROW][C]10[/C][C]0.048523[/C][C]0.3182[/C][C]0.375943[/C][/ROW]
[ROW][C]11[/C][C]0.096169[/C][C]0.6306[/C][C]0.265813[/C][/ROW]
[ROW][C]12[/C][C]-0.285232[/C][C]-1.8704[/C][C]0.034123[/C][/ROW]
[ROW][C]13[/C][C]-0.04579[/C][C]-0.3003[/C][C]0.382712[/C][/ROW]
[ROW][C]14[/C][C]0.0972[/C][C]0.6374[/C][C]0.263627[/C][/ROW]
[ROW][C]15[/C][C]0.143737[/C][C]0.9425[/C][C]0.175589[/C][/ROW]
[ROW][C]16[/C][C]-0.331898[/C][C]-2.1764[/C][C]0.017532[/C][/ROW]
[ROW][C]17[/C][C]0.144795[/C][C]0.9495[/C][C]0.173841[/C][/ROW]
[ROW][C]18[/C][C]-0.04481[/C][C]-0.2938[/C][C]0.385147[/C][/ROW]
[ROW][C]19[/C][C]-0.047053[/C][C]-0.3085[/C][C]0.379578[/C][/ROW]
[ROW][C]20[/C][C]-0.04597[/C][C]-0.3014[/C][C]0.382263[/C][/ROW]
[ROW][C]21[/C][C]0.143583[/C][C]0.9415[/C][C]0.175845[/C][/ROW]
[ROW][C]22[/C][C]-0.001676[/C][C]-0.011[/C][C]0.495641[/C][/ROW]
[ROW][C]23[/C][C]-0.050482[/C][C]-0.331[/C][C]0.371114[/C][/ROW]
[ROW][C]24[/C][C]-0.097071[/C][C]-0.6365[/C][C]0.2639[/C][/ROW]
[ROW][C]25[/C][C]0.091373[/C][C]0.5992[/C][C]0.2761[/C][/ROW]
[ROW][C]26[/C][C]-0.050559[/C][C]-0.3315[/C][C]0.370923[/C][/ROW]
[ROW][C]27[/C][C]-0.002913[/C][C]-0.0191[/C][C]0.492423[/C][/ROW]
[ROW][C]28[/C][C]0.093513[/C][C]0.6132[/C][C]0.271485[/C][/ROW]
[ROW][C]29[/C][C]-0.002965[/C][C]-0.0194[/C][C]0.492289[/C][/ROW]
[ROW][C]30[/C][C]0.044681[/C][C]0.293[/C][C]0.385468[/C][/ROW]
[ROW][C]31[/C][C]-0.097252[/C][C]-0.6377[/C][C]0.263518[/C][/ROW]
[ROW][C]32[/C][C]-0.001934[/C][C]-0.0127[/C][C]0.494971[/C][/ROW]
[ROW][C]33[/C][C]-0.001959[/C][C]-0.0128[/C][C]0.494904[/C][/ROW]
[ROW][C]34[/C][C]-0.000877[/C][C]-0.0057[/C][C]0.49772[/C][/ROW]
[ROW][C]35[/C][C]0.046769[/C][C]0.3067[/C][C]0.380281[/C][/ROW]
[ROW][C]36[/C][C]-0.000928[/C][C]-0.0061[/C][C]0.497586[/C][/ROW]
[ROW][C]37[/C][C]0.046718[/C][C]0.3063[/C][C]0.380408[/C][/ROW]
[ROW][C]38[/C][C]-0.047543[/C][C]-0.3118[/C][C]0.378365[/C][/ROW]
[ROW][C]39[/C][C]-0.048677[/C][C]-0.3192[/C][C]0.375561[/C][/ROW]
[ROW][C]40[/C][C]0.046641[/C][C]0.3058[/C][C]0.3806[/C][/ROW]
[ROW][C]41[/C][C]5.2e-05[/C][C]3e-04[/C][C]0.499866[/C][/ROW]
[ROW][C]42[/C][C]-0.001083[/C][C]-0.0071[/C][C]0.497184[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114692&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114692&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	-0.286057	-1.8758	0.033741
2	-0.00116	-0.0076	0.496982
3	-7.7e-05	-5e-04	0.499799
4	0.238256	1.5623	0.062768
5	-0.33494	-2.1964	0.016754
6	0.047517	0.3116	0.378429
7	0.238179	1.5618	0.062828
8	0.095137	0.6239	0.268008
9	-0.333935	-2.1898	0.017007
10	0.048523	0.3182	0.375943
11	0.096169	0.6306	0.265813
12	-0.285232	-1.8704	0.034123
13	-0.04579	-0.3003	0.382712
14	0.0972	0.6374	0.263627
15	0.143737	0.9425	0.175589
16	-0.331898	-2.1764	0.017532
17	0.144795	0.9495	0.173841
18	-0.04481	-0.2938	0.385147
19	-0.047053	-0.3085	0.379578
20	-0.04597	-0.3014	0.382263
21	0.143583	0.9415	0.175845
22	-0.001676	-0.011	0.495641
23	-0.050482	-0.331	0.371114
24	-0.097071	-0.6365	0.2639
25	0.091373	0.5992	0.2761
26	-0.050559	-0.3315	0.370923
27	-0.002913	-0.0191	0.492423
28	0.093513	0.6132	0.271485
29	-0.002965	-0.0194	0.492289
30	0.044681	0.293	0.385468
31	-0.097252	-0.6377	0.263518
32	-0.001934	-0.0127	0.494971
33	-0.001959	-0.0128	0.494904
34	-0.000877	-0.0057	0.49772
35	0.046769	0.3067	0.380281
36	-0.000928	-0.0061	0.497586
37	0.046718	0.3063	0.380408
38	-0.047543	-0.3118	0.378365
39	-0.048677	-0.3192	0.375561
40	0.046641	0.3058	0.3806
41	5.2e-05	3e-04	0.499866
42	-0.001083	-0.0071	0.497184
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.286057	-1.8758	0.033741
2	-0.090385	-0.5927	0.278246
3	-0.028874	-0.1893	0.42536
4	0.252615	1.6565	0.05245
5	-0.222372	-1.4582	0.076027
6	-0.104908	-0.6879	0.247596
7	0.24641	1.6158	0.056724
8	0.241613	1.5844	0.06022
9	-0.204464	-1.3408	0.093519
10	-0.267634	-1.755	0.043192
11	-0.025898	-0.1698	0.432971
12	-0.171291	-1.1232	0.133787
13	-0.028438	-0.1865	0.426471
14	-0.13422	-0.8801	0.191838
15	0.064882	0.4255	0.336312
16	-0.086352	-0.5662	0.287085
17	0.054373	0.3565	0.361588
18	-0.102489	-0.6721	0.252568
19	-0.082658	-0.542	0.295299
20	0.210277	1.3789	0.087532
21	-0.047547	-0.3118	0.378355
22	-0.105027	-0.6887	0.247354
23	-0.081557	-0.5348	0.29777
24	-0.14994	-0.9832	0.1655
25	-0.049542	-0.3249	0.373429
26	0.010924	0.0716	0.471612
27	-0.009249	-0.0607	0.475959
28	-0.045191	-0.2963	0.3842
29	0.007858	0.0515	0.479573
30	0.091195	0.598	0.276487
31	-0.008439	-0.0553	0.478063
32	-0.118079	-0.7743	0.221496
33	-0.045444	-0.298	0.38357
34	-0.094964	-0.6227	0.268378
35	0.040419	0.265	0.39612
36	-0.068996	-0.4524	0.326615
37	-0.07471	-0.4899	0.313346
38	0.001706	0.0112	0.495563
39	0.047465	0.3112	0.378558
40	0.050486	0.3311	0.371104
41	-0.068076	-0.4464	0.328773
42	-0.01083	-0.071	0.471856
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.286057 & -1.8758 & 0.033741 \tabularnewline
2 & -0.090385 & -0.5927 & 0.278246 \tabularnewline
3 & -0.028874 & -0.1893 & 0.42536 \tabularnewline
4 & 0.252615 & 1.6565 & 0.05245 \tabularnewline
5 & -0.222372 & -1.4582 & 0.076027 \tabularnewline
6 & -0.104908 & -0.6879 & 0.247596 \tabularnewline
7 & 0.24641 & 1.6158 & 0.056724 \tabularnewline
8 & 0.241613 & 1.5844 & 0.06022 \tabularnewline
9 & -0.204464 & -1.3408 & 0.093519 \tabularnewline
10 & -0.267634 & -1.755 & 0.043192 \tabularnewline
11 & -0.025898 & -0.1698 & 0.432971 \tabularnewline
12 & -0.171291 & -1.1232 & 0.133787 \tabularnewline
13 & -0.028438 & -0.1865 & 0.426471 \tabularnewline
14 & -0.13422 & -0.8801 & 0.191838 \tabularnewline
15 & 0.064882 & 0.4255 & 0.336312 \tabularnewline
16 & -0.086352 & -0.5662 & 0.287085 \tabularnewline
17 & 0.054373 & 0.3565 & 0.361588 \tabularnewline
18 & -0.102489 & -0.6721 & 0.252568 \tabularnewline
19 & -0.082658 & -0.542 & 0.295299 \tabularnewline
20 & 0.210277 & 1.3789 & 0.087532 \tabularnewline
21 & -0.047547 & -0.3118 & 0.378355 \tabularnewline
22 & -0.105027 & -0.6887 & 0.247354 \tabularnewline
23 & -0.081557 & -0.5348 & 0.29777 \tabularnewline
24 & -0.14994 & -0.9832 & 0.1655 \tabularnewline
25 & -0.049542 & -0.3249 & 0.373429 \tabularnewline
26 & 0.010924 & 0.0716 & 0.471612 \tabularnewline
27 & -0.009249 & -0.0607 & 0.475959 \tabularnewline
28 & -0.045191 & -0.2963 & 0.3842 \tabularnewline
29 & 0.007858 & 0.0515 & 0.479573 \tabularnewline
30 & 0.091195 & 0.598 & 0.276487 \tabularnewline
31 & -0.008439 & -0.0553 & 0.478063 \tabularnewline
32 & -0.118079 & -0.7743 & 0.221496 \tabularnewline
33 & -0.045444 & -0.298 & 0.38357 \tabularnewline
34 & -0.094964 & -0.6227 & 0.268378 \tabularnewline
35 & 0.040419 & 0.265 & 0.39612 \tabularnewline
36 & -0.068996 & -0.4524 & 0.326615 \tabularnewline
37 & -0.07471 & -0.4899 & 0.313346 \tabularnewline
38 & 0.001706 & 0.0112 & 0.495563 \tabularnewline
39 & 0.047465 & 0.3112 & 0.378558 \tabularnewline
40 & 0.050486 & 0.3311 & 0.371104 \tabularnewline
41 & -0.068076 & -0.4464 & 0.328773 \tabularnewline
42 & -0.01083 & -0.071 & 0.471856 \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114692&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]-0.286057[/C][C]-1.8758[/C][C]0.033741[/C][/ROW]
[ROW][C]2[/C][C]-0.090385[/C][C]-0.5927[/C][C]0.278246[/C][/ROW]
[ROW][C]3[/C][C]-0.028874[/C][C]-0.1893[/C][C]0.42536[/C][/ROW]
[ROW][C]4[/C][C]0.252615[/C][C]1.6565[/C][C]0.05245[/C][/ROW]
[ROW][C]5[/C][C]-0.222372[/C][C]-1.4582[/C][C]0.076027[/C][/ROW]
[ROW][C]6[/C][C]-0.104908[/C][C]-0.6879[/C][C]0.247596[/C][/ROW]
[ROW][C]7[/C][C]0.24641[/C][C]1.6158[/C][C]0.056724[/C][/ROW]
[ROW][C]8[/C][C]0.241613[/C][C]1.5844[/C][C]0.06022[/C][/ROW]
[ROW][C]9[/C][C]-0.204464[/C][C]-1.3408[/C][C]0.093519[/C][/ROW]
[ROW][C]10[/C][C]-0.267634[/C][C]-1.755[/C][C]0.043192[/C][/ROW]
[ROW][C]11[/C][C]-0.025898[/C][C]-0.1698[/C][C]0.432971[/C][/ROW]
[ROW][C]12[/C][C]-0.171291[/C][C]-1.1232[/C][C]0.133787[/C][/ROW]
[ROW][C]13[/C][C]-0.028438[/C][C]-0.1865[/C][C]0.426471[/C][/ROW]
[ROW][C]14[/C][C]-0.13422[/C][C]-0.8801[/C][C]0.191838[/C][/ROW]
[ROW][C]15[/C][C]0.064882[/C][C]0.4255[/C][C]0.336312[/C][/ROW]
[ROW][C]16[/C][C]-0.086352[/C][C]-0.5662[/C][C]0.287085[/C][/ROW]
[ROW][C]17[/C][C]0.054373[/C][C]0.3565[/C][C]0.361588[/C][/ROW]
[ROW][C]18[/C][C]-0.102489[/C][C]-0.6721[/C][C]0.252568[/C][/ROW]
[ROW][C]19[/C][C]-0.082658[/C][C]-0.542[/C][C]0.295299[/C][/ROW]
[ROW][C]20[/C][C]0.210277[/C][C]1.3789[/C][C]0.087532[/C][/ROW]
[ROW][C]21[/C][C]-0.047547[/C][C]-0.3118[/C][C]0.378355[/C][/ROW]
[ROW][C]22[/C][C]-0.105027[/C][C]-0.6887[/C][C]0.247354[/C][/ROW]
[ROW][C]23[/C][C]-0.081557[/C][C]-0.5348[/C][C]0.29777[/C][/ROW]
[ROW][C]24[/C][C]-0.14994[/C][C]-0.9832[/C][C]0.1655[/C][/ROW]
[ROW][C]25[/C][C]-0.049542[/C][C]-0.3249[/C][C]0.373429[/C][/ROW]
[ROW][C]26[/C][C]0.010924[/C][C]0.0716[/C][C]0.471612[/C][/ROW]
[ROW][C]27[/C][C]-0.009249[/C][C]-0.0607[/C][C]0.475959[/C][/ROW]
[ROW][C]28[/C][C]-0.045191[/C][C]-0.2963[/C][C]0.3842[/C][/ROW]
[ROW][C]29[/C][C]0.007858[/C][C]0.0515[/C][C]0.479573[/C][/ROW]
[ROW][C]30[/C][C]0.091195[/C][C]0.598[/C][C]0.276487[/C][/ROW]
[ROW][C]31[/C][C]-0.008439[/C][C]-0.0553[/C][C]0.478063[/C][/ROW]
[ROW][C]32[/C][C]-0.118079[/C][C]-0.7743[/C][C]0.221496[/C][/ROW]
[ROW][C]33[/C][C]-0.045444[/C][C]-0.298[/C][C]0.38357[/C][/ROW]
[ROW][C]34[/C][C]-0.094964[/C][C]-0.6227[/C][C]0.268378[/C][/ROW]
[ROW][C]35[/C][C]0.040419[/C][C]0.265[/C][C]0.39612[/C][/ROW]
[ROW][C]36[/C][C]-0.068996[/C][C]-0.4524[/C][C]0.326615[/C][/ROW]
[ROW][C]37[/C][C]-0.07471[/C][C]-0.4899[/C][C]0.313346[/C][/ROW]
[ROW][C]38[/C][C]0.001706[/C][C]0.0112[/C][C]0.495563[/C][/ROW]
[ROW][C]39[/C][C]0.047465[/C][C]0.3112[/C][C]0.378558[/C][/ROW]
[ROW][C]40[/C][C]0.050486[/C][C]0.3311[/C][C]0.371104[/C][/ROW]
[ROW][C]41[/C][C]-0.068076[/C][C]-0.4464[/C][C]0.328773[/C][/ROW]
[ROW][C]42[/C][C]-0.01083[/C][C]-0.071[/C][C]0.471856[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114692&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114692&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	-0.286057	-1.8758	0.033741
2	-0.090385	-0.5927	0.278246
3	-0.028874	-0.1893	0.42536
4	0.252615	1.6565	0.05245
5	-0.222372	-1.4582	0.076027
6	-0.104908	-0.6879	0.247596
7	0.24641	1.6158	0.056724
8	0.241613	1.5844	0.06022
9	-0.204464	-1.3408	0.093519
10	-0.267634	-1.755	0.043192
11	-0.025898	-0.1698	0.432971
12	-0.171291	-1.1232	0.133787
13	-0.028438	-0.1865	0.426471
14	-0.13422	-0.8801	0.191838
15	0.064882	0.4255	0.336312
16	-0.086352	-0.5662	0.287085
17	0.054373	0.3565	0.361588
18	-0.102489	-0.6721	0.252568
19	-0.082658	-0.542	0.295299
20	0.210277	1.3789	0.087532
21	-0.047547	-0.3118	0.378355
22	-0.105027	-0.6887	0.247354
23	-0.081557	-0.5348	0.29777
24	-0.14994	-0.9832	0.1655
25	-0.049542	-0.3249	0.373429
26	0.010924	0.0716	0.471612
27	-0.009249	-0.0607	0.475959
28	-0.045191	-0.2963	0.3842
29	0.007858	0.0515	0.479573
30	0.091195	0.598	0.276487
31	-0.008439	-0.0553	0.478063
32	-0.118079	-0.7743	0.221496
33	-0.045444	-0.298	0.38357
34	-0.094964	-0.6227	0.268378
35	0.040419	0.265	0.39612
36	-0.068996	-0.4524	0.326615
37	-0.07471	-0.4899	0.313346
38	0.001706	0.0112	0.495563
39	0.047465	0.3112	0.378558
40	0.050486	0.3311	0.371104
41	-0.068076	-0.4464	0.328773
42	-0.01083	-0.071	0.471856
43	NA	NA	NA
44	NA	NA	NA
45	NA	NA	NA
46	NA	NA	NA
47	NA	NA	NA
48	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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