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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 27 Nov 2009 05:01:23 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/27/t12593236161k538jckkkvmteg.htm/, Retrieved Sun, 11 May 2025 16:49:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60604, Retrieved Sun, 11 May 2025 16:49:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact339

Tree of Dependent Computations

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] [d79e31a57591875d497c91f296c77132] [Current]
-   P               [(Partial) Autocorrelation Function] [Methode 1 (d=1, D=0)] [2009-11-27 16:13:28] [76ab39dc7a55316678260825bd5ad46c]
-   P                 [(Partial) Autocorrelation Function] [Methode 1 (d=1,D=1)] [2009-11-27 16:26:44] [76ab39dc7a55316678260825bd5ad46c]
-    D                  [(Partial) Autocorrelation Function] [methode 1 ( d=1 D...] [2009-11-27 20:29:59] [4b453aa14d54730625f8d3de5f1f6d82]
-    D                [(Partial) Autocorrelation Function] [methode 1 (d= 1 D...] [2009-11-27 20:25:46] [4b453aa14d54730625f8d3de5f1f6d82]
-    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] [Thee] [2009-12-17 09:19:07] [7773f496f69461f4a67891f0ef752622]
-   PD                    [(Partial) Autocorrelation Function] [Appelen Golden Au...] [2009-12-17 20:34:29] [7773f496f69461f4a67891f0ef752622]
-   PD                      [(Partial) Autocorrelation Function] [WS8 3] [2010-11-25 16:55:40] [717f3d787904f94c39256c5c1fc72d4c]
-    D                        [(Partial) Autocorrelation Function] [WS8 5] [2010-11-25 18:02:52] [717f3d787904f94c39256c5c1fc72d4c]
-   PD                    [(Partial) Autocorrelation Function] [Correlatiefunctie...] [2009-12-17 20:39:59] [7773f496f69461f4a67891f0ef752622]
-   PD                    [(Partial) Autocorrelation Function] [appelen Golden au...] [2009-12-17 20:48:17] [7773f496f69461f4a67891f0ef752622]
-   PD                  [(Partial) Autocorrelation Function] [Thee] [2009-12-17 09:27:16] [7773f496f69461f4a67891f0ef752622]
-    D                  [(Partial) Autocorrelation Function] [Appelen Jonagold ...] [2009-12-17 16:51:16] [7773f496f69461f4a67891f0ef752622]
-    D                    [(Partial) Autocorrelation Function] [Correlatie z diff...] [2010-12-02 14:07:07] [ff7c1e95cf99a1dae07ec89975494dde]
-    D                    [(Partial) Autocorrelation Function] [biefstuk 3] [2010-12-14 15:31:38] [3df61981e9f4dafed65341be376c4457]
- R  D                      [(Partial) Autocorrelation Function] [restaurant 2] [2010-12-17 12:15:05] [3df61981e9f4dafed65341be376c4457]
-   PD                        [(Partial) Autocorrelation Function] [restaurant 3] [2010-12-17 12:25:43] [3df61981e9f4dafed65341be376c4457]
- R PD                    [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-15 16:35:33] [717f3d787904f94c39256c5c1fc72d4c]
-   PD                      [(Partial) Autocorrelation Function] [autocorrelation] [2010-12-23 07:02:17] [717f3d787904f94c39256c5c1fc72d4c]
- R PD                    [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-15 16:36:14] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [(Partial) Autocorrelation Function] [autocorrelation] [2010-12-23 07:04:44] [717f3d787904f94c39256c5c1fc72d4c]
- R PD                    [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-15 16:41:13] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [(Partial) Autocorrelation Function] [autocorrelatie d=...] [2010-12-17 15:00:38] [717f3d787904f94c39256c5c1fc72d4c]
- RMPD                    [Spectral Analysis] [spectral analysis] [2010-12-15 16:43:36] [717f3d787904f94c39256c5c1fc72d4c]
- RMPD                    [Spectral Analysis] [spectral analysis] [2010-12-15 16:46:49] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [Spectral Analysis] [autocorrelatie d=...] [2010-12-17 15:27:09] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [Spectral Analysis] [spectral analysis...] [2010-12-17 15:27:09] [717f3d787904f94c39256c5c1fc72d4c]
- RMPD                    [Variance Reduction Matrix] [Variance reductio...] [2010-12-15 16:49:31] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [Variance Reduction Matrix] [Variance reductio...] [2010-12-18 09:04:51] [717f3d787904f94c39256c5c1fc72d4c]
- R PD                    [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-15 16:52:15] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [(Partial) Autocorrelation Function] [autocorrelation] [2010-12-23 07:12:39] [717f3d787904f94c39256c5c1fc72d4c]
- R PD                    [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-15 16:54:02] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [(Partial) Autocorrelation Function] [autocorrelation] [2010-12-23 07:14:00] [717f3d787904f94c39256c5c1fc72d4c]
- R PD                    [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-15 16:55:24] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [(Partial) Autocorrelation Function] [autocorrelatie] [2010-12-18 09:15:00] [717f3d787904f94c39256c5c1fc72d4c]
- RMPD                    [Spectral Analysis] [spectral analysis] [2010-12-15 16:57:12] [717f3d787904f94c39256c5c1fc72d4c]
- RMPD                    [Spectral Analysis] [spectral analysis] [2010-12-15 16:58:49] [717f3d787904f94c39256c5c1fc72d4c]
-   P                       [Spectral Analysis] [spectral analysis] [2010-12-18 09:26:50] [717f3d787904f94c39256c5c1fc72d4c]
- RMP                       [Standard Deviation-Mean Plot] [standard deviatio...] [2010-12-18 09:33:15] [717f3d787904f94c39256c5c1fc72d4c]
- RMPD                      [Standard Deviation-Mean Plot] [standard deviatio...] [2010-12-18 09:36:23] [717f3d787904f94c39256c5c1fc72d4c]
- RMPD                      [Standard Deviation-Mean Plot] [standard deviatio...] [2010-12-18 09:45:45] [717f3d787904f94c39256c5c1fc72d4c]
- RMPD                    [Standard Deviation-Mean Plot] [standard deviatio...] [2010-12-15 17:01:32] [717f3d787904f94c39256c5c1fc72d4c]
-   PD                    [(Partial) Autocorrelation Function] [ACFKoffie] [2010-12-20 13:05:39] [3fb95cad3bbcce10c72dbbcc5bec5662]
-   PD                      [(Partial) Autocorrelation Function] [ACFKoffied1] [2010-12-20 13:19:03] [3fb95cad3bbcce10c72dbbcc5bec5662]
-   PD                      [(Partial) Autocorrelation Function] [ACFKoffied1D1] [2010-12-20 13:39:08] [3fb95cad3bbcce10c72dbbcc5bec5662]
-   PD                      [(Partial) Autocorrelation Function] [ACFKoffie] [2010-12-24 10:01:53] [3fb95cad3bbcce10c72dbbcc5bec5662]
-   PD                      [(Partial) Autocorrelation Function] [ACFKoffied1] [2010-12-24 10:04:57] [3fb95cad3bbcce10c72dbbcc5bec5662]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.71
98.54
98.2
96.92
99.06
99.65
99.82
99.99
100.33
99.31
101.1
101.1
100.93
100.85
100.93
99.6
101.88
101.81
102.38
102.74
102.82
101.72
103.47
102.98
102.68
102.9
103.03
101.29
103.69
103.68
104.2
104.08
104.16
103.05
104.66
104.46
104.95
105.85
106.23
104.86
107.44
108.23
108.45
109.39
110.15
109.13
110.28
110.17
109.99
109.26
109.11
107.06
109.53
108.92
109.24
109.12
109
107.23
109.49
109.04

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=60604&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=60604&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60604&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9292197.19770
20.887876.87740
30.8483046.57090
40.7883166.10630
50.734135.68660
60.7154815.54210
70.6398934.95663e-06
80.593944.60061.1e-05
90.558094.32292.9e-05
100.5040953.90470.000121
110.4582233.54940.000379
120.4332923.35630.000688
130.3524912.73040.004146
140.2997212.32160.011833
150.249091.92940.029204
160.1808641.4010.083188
170.1304061.01010.158248
180.1097230.84990.199377
190.0467690.36230.359212
200.0152080.11780.453311
21-0.004857-0.03760.485056
22-0.040479-0.31350.377476
23-0.068606-0.53140.298544
24-0.072891-0.56460.287222
25-0.119665-0.92690.17884
26-0.147336-1.14130.129148
27-0.170652-1.32190.095615
28-0.210585-1.63120.054045
29-0.237261-1.83780.035521
30-0.245896-1.90470.030808
31-0.282557-2.18870.016262
32-0.302713-2.34480.011182
33-0.312827-2.42310.00921
34-0.341763-2.64730.005175
35-0.361488-2.80010.003432
36-0.366185-2.83650.003106

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.929219 & 7.1977 & 0 \tabularnewline
2 & 0.88787 & 6.8774 & 0 \tabularnewline
3 & 0.848304 & 6.5709 & 0 \tabularnewline
4 & 0.788316 & 6.1063 & 0 \tabularnewline
5 & 0.73413 & 5.6866 & 0 \tabularnewline
6 & 0.715481 & 5.5421 & 0 \tabularnewline
7 & 0.639893 & 4.9566 & 3e-06 \tabularnewline
8 & 0.59394 & 4.6006 & 1.1e-05 \tabularnewline
9 & 0.55809 & 4.3229 & 2.9e-05 \tabularnewline
10 & 0.504095 & 3.9047 & 0.000121 \tabularnewline
11 & 0.458223 & 3.5494 & 0.000379 \tabularnewline
12 & 0.433292 & 3.3563 & 0.000688 \tabularnewline
13 & 0.352491 & 2.7304 & 0.004146 \tabularnewline
14 & 0.299721 & 2.3216 & 0.011833 \tabularnewline
15 & 0.24909 & 1.9294 & 0.029204 \tabularnewline
16 & 0.180864 & 1.401 & 0.083188 \tabularnewline
17 & 0.130406 & 1.0101 & 0.158248 \tabularnewline
18 & 0.109723 & 0.8499 & 0.199377 \tabularnewline
19 & 0.046769 & 0.3623 & 0.359212 \tabularnewline
20 & 0.015208 & 0.1178 & 0.453311 \tabularnewline
21 & -0.004857 & -0.0376 & 0.485056 \tabularnewline
22 & -0.040479 & -0.3135 & 0.377476 \tabularnewline
23 & -0.068606 & -0.5314 & 0.298544 \tabularnewline
24 & -0.072891 & -0.5646 & 0.287222 \tabularnewline
25 & -0.119665 & -0.9269 & 0.17884 \tabularnewline
26 & -0.147336 & -1.1413 & 0.129148 \tabularnewline
27 & -0.170652 & -1.3219 & 0.095615 \tabularnewline
28 & -0.210585 & -1.6312 & 0.054045 \tabularnewline
29 & -0.237261 & -1.8378 & 0.035521 \tabularnewline
30 & -0.245896 & -1.9047 & 0.030808 \tabularnewline
31 & -0.282557 & -2.1887 & 0.016262 \tabularnewline
32 & -0.302713 & -2.3448 & 0.011182 \tabularnewline
33 & -0.312827 & -2.4231 & 0.00921 \tabularnewline
34 & -0.341763 & -2.6473 & 0.005175 \tabularnewline
35 & -0.361488 & -2.8001 & 0.003432 \tabularnewline
36 & -0.366185 & -2.8365 & 0.003106 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60604&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]0.929219[/C][C]7.1977[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.88787[/C][C]6.8774[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.848304[/C][C]6.5709[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.788316[/C][C]6.1063[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.73413[/C][C]5.6866[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.715481[/C][C]5.5421[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.639893[/C][C]4.9566[/C][C]3e-06[/C][/ROW]
[ROW][C]8[/C][C]0.59394[/C][C]4.6006[/C][C]1.1e-05[/C][/ROW]
[ROW][C]9[/C][C]0.55809[/C][C]4.3229[/C][C]2.9e-05[/C][/ROW]
[ROW][C]10[/C][C]0.504095[/C][C]3.9047[/C][C]0.000121[/C][/ROW]
[ROW][C]11[/C][C]0.458223[/C][C]3.5494[/C][C]0.000379[/C][/ROW]
[ROW][C]12[/C][C]0.433292[/C][C]3.3563[/C][C]0.000688[/C][/ROW]
[ROW][C]13[/C][C]0.352491[/C][C]2.7304[/C][C]0.004146[/C][/ROW]
[ROW][C]14[/C][C]0.299721[/C][C]2.3216[/C][C]0.011833[/C][/ROW]
[ROW][C]15[/C][C]0.24909[/C][C]1.9294[/C][C]0.029204[/C][/ROW]
[ROW][C]16[/C][C]0.180864[/C][C]1.401[/C][C]0.083188[/C][/ROW]
[ROW][C]17[/C][C]0.130406[/C][C]1.0101[/C][C]0.158248[/C][/ROW]
[ROW][C]18[/C][C]0.109723[/C][C]0.8499[/C][C]0.199377[/C][/ROW]
[ROW][C]19[/C][C]0.046769[/C][C]0.3623[/C][C]0.359212[/C][/ROW]
[ROW][C]20[/C][C]0.015208[/C][C]0.1178[/C][C]0.453311[/C][/ROW]
[ROW][C]21[/C][C]-0.004857[/C][C]-0.0376[/C][C]0.485056[/C][/ROW]
[ROW][C]22[/C][C]-0.040479[/C][C]-0.3135[/C][C]0.377476[/C][/ROW]
[ROW][C]23[/C][C]-0.068606[/C][C]-0.5314[/C][C]0.298544[/C][/ROW]
[ROW][C]24[/C][C]-0.072891[/C][C]-0.5646[/C][C]0.287222[/C][/ROW]
[ROW][C]25[/C][C]-0.119665[/C][C]-0.9269[/C][C]0.17884[/C][/ROW]
[ROW][C]26[/C][C]-0.147336[/C][C]-1.1413[/C][C]0.129148[/C][/ROW]
[ROW][C]27[/C][C]-0.170652[/C][C]-1.3219[/C][C]0.095615[/C][/ROW]
[ROW][C]28[/C][C]-0.210585[/C][C]-1.6312[/C][C]0.054045[/C][/ROW]
[ROW][C]29[/C][C]-0.237261[/C][C]-1.8378[/C][C]0.035521[/C][/ROW]
[ROW][C]30[/C][C]-0.245896[/C][C]-1.9047[/C][C]0.030808[/C][/ROW]
[ROW][C]31[/C][C]-0.282557[/C][C]-2.1887[/C][C]0.016262[/C][/ROW]
[ROW][C]32[/C][C]-0.302713[/C][C]-2.3448[/C][C]0.011182[/C][/ROW]
[ROW][C]33[/C][C]-0.312827[/C][C]-2.4231[/C][C]0.00921[/C][/ROW]
[ROW][C]34[/C][C]-0.341763[/C][C]-2.6473[/C][C]0.005175[/C][/ROW]
[ROW][C]35[/C][C]-0.361488[/C][C]-2.8001[/C][C]0.003432[/C][/ROW]
[ROW][C]36[/C][C]-0.366185[/C][C]-2.8365[/C][C]0.003106[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60604&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60604&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9292197.19770
20.887876.87740
30.8483046.57090
40.7883166.10630
50.734135.68660
60.7154815.54210
70.6398934.95663e-06
80.593944.60061.1e-05
90.558094.32292.9e-05
100.5040953.90470.000121
110.4582233.54940.000379
120.4332923.35630.000688
130.3524912.73040.004146
140.2997212.32160.011833
150.249091.92940.029204
160.1808641.4010.083188
170.1304061.01010.158248
180.1097230.84990.199377
190.0467690.36230.359212
200.0152080.11780.453311
21-0.004857-0.03760.485056
22-0.040479-0.31350.377476
23-0.068606-0.53140.298544
24-0.072891-0.56460.287222
25-0.119665-0.92690.17884
26-0.147336-1.14130.129148
27-0.170652-1.32190.095615
28-0.210585-1.63120.054045
29-0.237261-1.83780.035521
30-0.245896-1.90470.030808
31-0.282557-2.18870.016262
32-0.302713-2.34480.011182
33-0.312827-2.42310.00921
34-0.341763-2.64730.005175
35-0.361488-2.80010.003432
36-0.366185-2.83650.003106






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9292197.19770
20.178851.38540.085535
30.0351310.27210.393231
4-0.161139-1.24820.108408
5-0.049577-0.3840.35116
60.2435231.88630.032047
7-0.341579-2.64590.005194
80.0687680.53270.298114
90.047570.36850.356907
10-0.054812-0.42460.336335
110.0133120.10310.459107
12-0.025237-0.19550.422837
13-0.266375-2.06330.021708
140.0262210.20310.419869
15-0.058962-0.45670.324761
16-0.055598-0.43070.334129
170.0560170.43390.332957
180.0771980.5980.276055
19-0.082422-0.63840.262808
200.0211350.16370.435255
210.0462610.35830.360674
220.0083330.06450.474374
23-0.056089-0.43450.332754
240.0154490.11970.452572
25-0.077849-0.6030.274386
26-0.059626-0.46190.322926
27-0.03563-0.2760.391753
28-0.049782-0.38560.350575
290.0105230.08150.467653
30-0.048671-0.3770.353751
31-0.011903-0.09220.463424
32-0.078042-0.60450.273893
33-0.003573-0.02770.489007
34-0.045551-0.35280.362723
35-0.054873-0.4250.336162
36-0.027548-0.21340.415876

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.929219 & 7.1977 & 0 \tabularnewline
2 & 0.17885 & 1.3854 & 0.085535 \tabularnewline
3 & 0.035131 & 0.2721 & 0.393231 \tabularnewline
4 & -0.161139 & -1.2482 & 0.108408 \tabularnewline
5 & -0.049577 & -0.384 & 0.35116 \tabularnewline
6 & 0.243523 & 1.8863 & 0.032047 \tabularnewline
7 & -0.341579 & -2.6459 & 0.005194 \tabularnewline
8 & 0.068768 & 0.5327 & 0.298114 \tabularnewline
9 & 0.04757 & 0.3685 & 0.356907 \tabularnewline
10 & -0.054812 & -0.4246 & 0.336335 \tabularnewline
11 & 0.013312 & 0.1031 & 0.459107 \tabularnewline
12 & -0.025237 & -0.1955 & 0.422837 \tabularnewline
13 & -0.266375 & -2.0633 & 0.021708 \tabularnewline
14 & 0.026221 & 0.2031 & 0.419869 \tabularnewline
15 & -0.058962 & -0.4567 & 0.324761 \tabularnewline
16 & -0.055598 & -0.4307 & 0.334129 \tabularnewline
17 & 0.056017 & 0.4339 & 0.332957 \tabularnewline
18 & 0.077198 & 0.598 & 0.276055 \tabularnewline
19 & -0.082422 & -0.6384 & 0.262808 \tabularnewline
20 & 0.021135 & 0.1637 & 0.435255 \tabularnewline
21 & 0.046261 & 0.3583 & 0.360674 \tabularnewline
22 & 0.008333 & 0.0645 & 0.474374 \tabularnewline
23 & -0.056089 & -0.4345 & 0.332754 \tabularnewline
24 & 0.015449 & 0.1197 & 0.452572 \tabularnewline
25 & -0.077849 & -0.603 & 0.274386 \tabularnewline
26 & -0.059626 & -0.4619 & 0.322926 \tabularnewline
27 & -0.03563 & -0.276 & 0.391753 \tabularnewline
28 & -0.049782 & -0.3856 & 0.350575 \tabularnewline
29 & 0.010523 & 0.0815 & 0.467653 \tabularnewline
30 & -0.048671 & -0.377 & 0.353751 \tabularnewline
31 & -0.011903 & -0.0922 & 0.463424 \tabularnewline
32 & -0.078042 & -0.6045 & 0.273893 \tabularnewline
33 & -0.003573 & -0.0277 & 0.489007 \tabularnewline
34 & -0.045551 & -0.3528 & 0.362723 \tabularnewline
35 & -0.054873 & -0.425 & 0.336162 \tabularnewline
36 & -0.027548 & -0.2134 & 0.415876 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60604&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]0.929219[/C][C]7.1977[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.17885[/C][C]1.3854[/C][C]0.085535[/C][/ROW]
[ROW][C]3[/C][C]0.035131[/C][C]0.2721[/C][C]0.393231[/C][/ROW]
[ROW][C]4[/C][C]-0.161139[/C][C]-1.2482[/C][C]0.108408[/C][/ROW]
[ROW][C]5[/C][C]-0.049577[/C][C]-0.384[/C][C]0.35116[/C][/ROW]
[ROW][C]6[/C][C]0.243523[/C][C]1.8863[/C][C]0.032047[/C][/ROW]
[ROW][C]7[/C][C]-0.341579[/C][C]-2.6459[/C][C]0.005194[/C][/ROW]
[ROW][C]8[/C][C]0.068768[/C][C]0.5327[/C][C]0.298114[/C][/ROW]
[ROW][C]9[/C][C]0.04757[/C][C]0.3685[/C][C]0.356907[/C][/ROW]
[ROW][C]10[/C][C]-0.054812[/C][C]-0.4246[/C][C]0.336335[/C][/ROW]
[ROW][C]11[/C][C]0.013312[/C][C]0.1031[/C][C]0.459107[/C][/ROW]
[ROW][C]12[/C][C]-0.025237[/C][C]-0.1955[/C][C]0.422837[/C][/ROW]
[ROW][C]13[/C][C]-0.266375[/C][C]-2.0633[/C][C]0.021708[/C][/ROW]
[ROW][C]14[/C][C]0.026221[/C][C]0.2031[/C][C]0.419869[/C][/ROW]
[ROW][C]15[/C][C]-0.058962[/C][C]-0.4567[/C][C]0.324761[/C][/ROW]
[ROW][C]16[/C][C]-0.055598[/C][C]-0.4307[/C][C]0.334129[/C][/ROW]
[ROW][C]17[/C][C]0.056017[/C][C]0.4339[/C][C]0.332957[/C][/ROW]
[ROW][C]18[/C][C]0.077198[/C][C]0.598[/C][C]0.276055[/C][/ROW]
[ROW][C]19[/C][C]-0.082422[/C][C]-0.6384[/C][C]0.262808[/C][/ROW]
[ROW][C]20[/C][C]0.021135[/C][C]0.1637[/C][C]0.435255[/C][/ROW]
[ROW][C]21[/C][C]0.046261[/C][C]0.3583[/C][C]0.360674[/C][/ROW]
[ROW][C]22[/C][C]0.008333[/C][C]0.0645[/C][C]0.474374[/C][/ROW]
[ROW][C]23[/C][C]-0.056089[/C][C]-0.4345[/C][C]0.332754[/C][/ROW]
[ROW][C]24[/C][C]0.015449[/C][C]0.1197[/C][C]0.452572[/C][/ROW]
[ROW][C]25[/C][C]-0.077849[/C][C]-0.603[/C][C]0.274386[/C][/ROW]
[ROW][C]26[/C][C]-0.059626[/C][C]-0.4619[/C][C]0.322926[/C][/ROW]
[ROW][C]27[/C][C]-0.03563[/C][C]-0.276[/C][C]0.391753[/C][/ROW]
[ROW][C]28[/C][C]-0.049782[/C][C]-0.3856[/C][C]0.350575[/C][/ROW]
[ROW][C]29[/C][C]0.010523[/C][C]0.0815[/C][C]0.467653[/C][/ROW]
[ROW][C]30[/C][C]-0.048671[/C][C]-0.377[/C][C]0.353751[/C][/ROW]
[ROW][C]31[/C][C]-0.011903[/C][C]-0.0922[/C][C]0.463424[/C][/ROW]
[ROW][C]32[/C][C]-0.078042[/C][C]-0.6045[/C][C]0.273893[/C][/ROW]
[ROW][C]33[/C][C]-0.003573[/C][C]-0.0277[/C][C]0.489007[/C][/ROW]
[ROW][C]34[/C][C]-0.045551[/C][C]-0.3528[/C][C]0.362723[/C][/ROW]
[ROW][C]35[/C][C]-0.054873[/C][C]-0.425[/C][C]0.336162[/C][/ROW]
[ROW][C]36[/C][C]-0.027548[/C][C]-0.2134[/C][C]0.415876[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60604&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60604&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9292197.19770
20.178851.38540.085535
30.0351310.27210.393231
4-0.161139-1.24820.108408
5-0.049577-0.3840.35116
60.2435231.88630.032047
7-0.341579-2.64590.005194
80.0687680.53270.298114
90.047570.36850.356907
10-0.054812-0.42460.336335
110.0133120.10310.459107
12-0.025237-0.19550.422837
13-0.266375-2.06330.021708
140.0262210.20310.419869
15-0.058962-0.45670.324761
16-0.055598-0.43070.334129
170.0560170.43390.332957
180.0771980.5980.276055
19-0.082422-0.63840.262808
200.0211350.16370.435255
210.0462610.35830.360674
220.0083330.06450.474374
23-0.056089-0.43450.332754
240.0154490.11970.452572
25-0.077849-0.6030.274386
26-0.059626-0.46190.322926
27-0.03563-0.2760.391753
28-0.049782-0.38560.350575
290.0105230.08150.467653
30-0.048671-0.3770.353751
31-0.011903-0.09220.463424
32-0.078042-0.60450.273893
33-0.003573-0.02770.489007
34-0.045551-0.35280.362723
35-0.054873-0.4250.336162
36-0.027548-0.21340.415876


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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')