## Free Statistics

of Irreproducible Research!

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 computationTue, 24 Nov 2009 07:30:12 -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/24/t12590730308t19t4owjhx9y1x.htm/, Retrieved Sun, 16 Jun 2024 21:42:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59085, Retrieved Sun, 16 Jun 2024 21:42:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
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]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-24 14:30:12] [0f1f1142419956a95ff6f880845f2408] [Current]
-   P             [(Partial) Autocorrelation Function] [] [2009-12-01 11:28:41] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
115.47
103.34
102.6
100.69
105.67
123.61
113.08
106.46
123.38
109.87
95.74
123.06
123.39
120.28
115.33
110.4
114.49
132.03
123.16
118.82
128.32
112.24
104.53
132.57
122.52
131.8
124.55
120.96
122.6
145.52
118.57
134.25
136.7
121.37
111.63
134.42
137.65
137.86
119.77
130.69
128.28
147.45
128.42
136.9
143.95
135.64
122.48
136.83
153.04
142.71
123.46
144.37
146.15
147.61
158.51
147.4
165.05
154.64
126.2
157.36
154.15
123.21
113.07
110.45
113.57
122.44
114.93
111.85
126.04
121.34

 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=59085&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=59085&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59085&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 0.596316 4.9891 2e-06 2 0.436256 3.65 0.000251 3 0.525282 4.3948 1.9e-05 4 0.463184 3.8753 0.000119 5 0.36769 3.0763 0.001495 6 0.375729 3.1436 0.001224 7 0.217572 1.8203 0.036491 8 0.273183 2.2856 0.012654 9 0.157751 1.3198 0.095595 10 0.018078 0.1513 0.440106 11 0.13682 1.1447 0.128112 12 0.325976 2.7273 0.004032 13 0.09211 0.7707 0.221754 14 0.008605 0.072 0.471405 15 0.072085 0.6031 0.274194 16 0.10255 0.858 0.196912 17 0.037679 0.3152 0.376758 18 0.064875 0.5428 0.294502 19 0.030799 0.2577 0.398703 20 0.045038 0.3768 0.353727 21 -0.048473 -0.4056 0.343155 22 -0.119893 -1.0031 0.159634 23 -0.041924 -0.3508 0.36341 24 0.066135 0.5533 0.290903 25 -0.0599 -0.5012 0.308917 26 -0.170555 -1.427 0.079017 27 -0.094148 -0.7877 0.216765 28 -0.03586 -0.3 0.382524 29 -0.120849 -1.0111 0.157726 30 -0.101054 -0.8455 0.200362 31 -0.078576 -0.6574 0.256535 32 -0.149229 -1.2485 0.107997 33 -0.171955 -1.4387 0.077349 34 -0.205009 -1.7152 0.045364 35 -0.213933 -1.7899 0.038898 36 -0.108038 -0.9039 0.184571 37 -0.179222 -1.4995 0.069124 38 -0.285478 -2.3885 0.009809 39 -0.190875 -1.597 0.057388 40 -0.168067 -1.4062 0.082052 41 -0.226482 -1.8949 0.031119 42 -0.18408 -1.5401 0.064019 43 -0.162986 -1.3636 0.088526 44 -0.226735 -1.897 0.030977 45 -0.213127 -1.7831 0.039449 46 -0.228208 -1.9093 0.03016 47 -0.220578 -1.8455 0.034598 48 -0.142101 -1.1889 0.119247 49 -0.195515 -1.6358 0.053185 50 -0.247249 -2.0686 0.021138 51 -0.165885 -1.3879 0.084786 52 -0.160119 -1.3397 0.092345 53 -0.176093 -1.4733 0.072576 54 -0.115759 -0.9685 0.168063 55 -0.098945 -0.8278 0.205289 56 -0.081994 -0.686 0.247486 57 -0.028204 -0.236 0.407072 58 -0.021611 -0.1808 0.428519 59 0.021258 0.1779 0.429675 60 0.082296 0.6885 0.246695

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.596316 & 4.9891 & 2e-06 \tabularnewline
2 & 0.436256 & 3.65 & 0.000251 \tabularnewline
3 & 0.525282 & 4.3948 & 1.9e-05 \tabularnewline
4 & 0.463184 & 3.8753 & 0.000119 \tabularnewline
5 & 0.36769 & 3.0763 & 0.001495 \tabularnewline
6 & 0.375729 & 3.1436 & 0.001224 \tabularnewline
7 & 0.217572 & 1.8203 & 0.036491 \tabularnewline
8 & 0.273183 & 2.2856 & 0.012654 \tabularnewline
9 & 0.157751 & 1.3198 & 0.095595 \tabularnewline
10 & 0.018078 & 0.1513 & 0.440106 \tabularnewline
11 & 0.13682 & 1.1447 & 0.128112 \tabularnewline
12 & 0.325976 & 2.7273 & 0.004032 \tabularnewline
13 & 0.09211 & 0.7707 & 0.221754 \tabularnewline
14 & 0.008605 & 0.072 & 0.471405 \tabularnewline
15 & 0.072085 & 0.6031 & 0.274194 \tabularnewline
16 & 0.10255 & 0.858 & 0.196912 \tabularnewline
17 & 0.037679 & 0.3152 & 0.376758 \tabularnewline
18 & 0.064875 & 0.5428 & 0.294502 \tabularnewline
19 & 0.030799 & 0.2577 & 0.398703 \tabularnewline
20 & 0.045038 & 0.3768 & 0.353727 \tabularnewline
21 & -0.048473 & -0.4056 & 0.343155 \tabularnewline
22 & -0.119893 & -1.0031 & 0.159634 \tabularnewline
23 & -0.041924 & -0.3508 & 0.36341 \tabularnewline
24 & 0.066135 & 0.5533 & 0.290903 \tabularnewline
25 & -0.0599 & -0.5012 & 0.308917 \tabularnewline
26 & -0.170555 & -1.427 & 0.079017 \tabularnewline
27 & -0.094148 & -0.7877 & 0.216765 \tabularnewline
28 & -0.03586 & -0.3 & 0.382524 \tabularnewline
29 & -0.120849 & -1.0111 & 0.157726 \tabularnewline
30 & -0.101054 & -0.8455 & 0.200362 \tabularnewline
31 & -0.078576 & -0.6574 & 0.256535 \tabularnewline
32 & -0.149229 & -1.2485 & 0.107997 \tabularnewline
33 & -0.171955 & -1.4387 & 0.077349 \tabularnewline
34 & -0.205009 & -1.7152 & 0.045364 \tabularnewline
35 & -0.213933 & -1.7899 & 0.038898 \tabularnewline
36 & -0.108038 & -0.9039 & 0.184571 \tabularnewline
37 & -0.179222 & -1.4995 & 0.069124 \tabularnewline
38 & -0.285478 & -2.3885 & 0.009809 \tabularnewline
39 & -0.190875 & -1.597 & 0.057388 \tabularnewline
40 & -0.168067 & -1.4062 & 0.082052 \tabularnewline
41 & -0.226482 & -1.8949 & 0.031119 \tabularnewline
42 & -0.18408 & -1.5401 & 0.064019 \tabularnewline
43 & -0.162986 & -1.3636 & 0.088526 \tabularnewline
44 & -0.226735 & -1.897 & 0.030977 \tabularnewline
45 & -0.213127 & -1.7831 & 0.039449 \tabularnewline
46 & -0.228208 & -1.9093 & 0.03016 \tabularnewline
47 & -0.220578 & -1.8455 & 0.034598 \tabularnewline
48 & -0.142101 & -1.1889 & 0.119247 \tabularnewline
49 & -0.195515 & -1.6358 & 0.053185 \tabularnewline
50 & -0.247249 & -2.0686 & 0.021138 \tabularnewline
51 & -0.165885 & -1.3879 & 0.084786 \tabularnewline
52 & -0.160119 & -1.3397 & 0.092345 \tabularnewline
53 & -0.176093 & -1.4733 & 0.072576 \tabularnewline
54 & -0.115759 & -0.9685 & 0.168063 \tabularnewline
55 & -0.098945 & -0.8278 & 0.205289 \tabularnewline
56 & -0.081994 & -0.686 & 0.247486 \tabularnewline
57 & -0.028204 & -0.236 & 0.407072 \tabularnewline
58 & -0.021611 & -0.1808 & 0.428519 \tabularnewline
59 & 0.021258 & 0.1779 & 0.429675 \tabularnewline
60 & 0.082296 & 0.6885 & 0.246695 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59085&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]0.596316[/C][C]4.9891[/C][C]2e-06[/C][/ROW]
[ROW][C]2[/C][C]0.436256[/C][C]3.65[/C][C]0.000251[/C][/ROW]
[ROW][C]3[/C][C]0.525282[/C][C]4.3948[/C][C]1.9e-05[/C][/ROW]
[ROW][C]4[/C][C]0.463184[/C][C]3.8753[/C][C]0.000119[/C][/ROW]
[ROW][C]5[/C][C]0.36769[/C][C]3.0763[/C][C]0.001495[/C][/ROW]
[ROW][C]6[/C][C]0.375729[/C][C]3.1436[/C][C]0.001224[/C][/ROW]
[ROW][C]7[/C][C]0.217572[/C][C]1.8203[/C][C]0.036491[/C][/ROW]
[ROW][C]8[/C][C]0.273183[/C][C]2.2856[/C][C]0.012654[/C][/ROW]
[ROW][C]9[/C][C]0.157751[/C][C]1.3198[/C][C]0.095595[/C][/ROW]
[ROW][C]10[/C][C]0.018078[/C][C]0.1513[/C][C]0.440106[/C][/ROW]
[ROW][C]11[/C][C]0.13682[/C][C]1.1447[/C][C]0.128112[/C][/ROW]
[ROW][C]12[/C][C]0.325976[/C][C]2.7273[/C][C]0.004032[/C][/ROW]
[ROW][C]13[/C][C]0.09211[/C][C]0.7707[/C][C]0.221754[/C][/ROW]
[ROW][C]14[/C][C]0.008605[/C][C]0.072[/C][C]0.471405[/C][/ROW]
[ROW][C]15[/C][C]0.072085[/C][C]0.6031[/C][C]0.274194[/C][/ROW]
[ROW][C]16[/C][C]0.10255[/C][C]0.858[/C][C]0.196912[/C][/ROW]
[ROW][C]17[/C][C]0.037679[/C][C]0.3152[/C][C]0.376758[/C][/ROW]
[ROW][C]18[/C][C]0.064875[/C][C]0.5428[/C][C]0.294502[/C][/ROW]
[ROW][C]19[/C][C]0.030799[/C][C]0.2577[/C][C]0.398703[/C][/ROW]
[ROW][C]20[/C][C]0.045038[/C][C]0.3768[/C][C]0.353727[/C][/ROW]
[ROW][C]21[/C][C]-0.048473[/C][C]-0.4056[/C][C]0.343155[/C][/ROW]
[ROW][C]22[/C][C]-0.119893[/C][C]-1.0031[/C][C]0.159634[/C][/ROW]
[ROW][C]23[/C][C]-0.041924[/C][C]-0.3508[/C][C]0.36341[/C][/ROW]
[ROW][C]24[/C][C]0.066135[/C][C]0.5533[/C][C]0.290903[/C][/ROW]
[ROW][C]25[/C][C]-0.0599[/C][C]-0.5012[/C][C]0.308917[/C][/ROW]
[ROW][C]26[/C][C]-0.170555[/C][C]-1.427[/C][C]0.079017[/C][/ROW]
[ROW][C]27[/C][C]-0.094148[/C][C]-0.7877[/C][C]0.216765[/C][/ROW]
[ROW][C]28[/C][C]-0.03586[/C][C]-0.3[/C][C]0.382524[/C][/ROW]
[ROW][C]29[/C][C]-0.120849[/C][C]-1.0111[/C][C]0.157726[/C][/ROW]
[ROW][C]30[/C][C]-0.101054[/C][C]-0.8455[/C][C]0.200362[/C][/ROW]
[ROW][C]31[/C][C]-0.078576[/C][C]-0.6574[/C][C]0.256535[/C][/ROW]
[ROW][C]32[/C][C]-0.149229[/C][C]-1.2485[/C][C]0.107997[/C][/ROW]
[ROW][C]33[/C][C]-0.171955[/C][C]-1.4387[/C][C]0.077349[/C][/ROW]
[ROW][C]34[/C][C]-0.205009[/C][C]-1.7152[/C][C]0.045364[/C][/ROW]
[ROW][C]35[/C][C]-0.213933[/C][C]-1.7899[/C][C]0.038898[/C][/ROW]
[ROW][C]36[/C][C]-0.108038[/C][C]-0.9039[/C][C]0.184571[/C][/ROW]
[ROW][C]37[/C][C]-0.179222[/C][C]-1.4995[/C][C]0.069124[/C][/ROW]
[ROW][C]38[/C][C]-0.285478[/C][C]-2.3885[/C][C]0.009809[/C][/ROW]
[ROW][C]39[/C][C]-0.190875[/C][C]-1.597[/C][C]0.057388[/C][/ROW]
[ROW][C]40[/C][C]-0.168067[/C][C]-1.4062[/C][C]0.082052[/C][/ROW]
[ROW][C]41[/C][C]-0.226482[/C][C]-1.8949[/C][C]0.031119[/C][/ROW]
[ROW][C]42[/C][C]-0.18408[/C][C]-1.5401[/C][C]0.064019[/C][/ROW]
[ROW][C]43[/C][C]-0.162986[/C][C]-1.3636[/C][C]0.088526[/C][/ROW]
[ROW][C]44[/C][C]-0.226735[/C][C]-1.897[/C][C]0.030977[/C][/ROW]
[ROW][C]45[/C][C]-0.213127[/C][C]-1.7831[/C][C]0.039449[/C][/ROW]
[ROW][C]46[/C][C]-0.228208[/C][C]-1.9093[/C][C]0.03016[/C][/ROW]
[ROW][C]47[/C][C]-0.220578[/C][C]-1.8455[/C][C]0.034598[/C][/ROW]
[ROW][C]48[/C][C]-0.142101[/C][C]-1.1889[/C][C]0.119247[/C][/ROW]
[ROW][C]49[/C][C]-0.195515[/C][C]-1.6358[/C][C]0.053185[/C][/ROW]
[ROW][C]50[/C][C]-0.247249[/C][C]-2.0686[/C][C]0.021138[/C][/ROW]
[ROW][C]51[/C][C]-0.165885[/C][C]-1.3879[/C][C]0.084786[/C][/ROW]
[ROW][C]52[/C][C]-0.160119[/C][C]-1.3397[/C][C]0.092345[/C][/ROW]
[ROW][C]53[/C][C]-0.176093[/C][C]-1.4733[/C][C]0.072576[/C][/ROW]
[ROW][C]54[/C][C]-0.115759[/C][C]-0.9685[/C][C]0.168063[/C][/ROW]
[ROW][C]55[/C][C]-0.098945[/C][C]-0.8278[/C][C]0.205289[/C][/ROW]
[ROW][C]56[/C][C]-0.081994[/C][C]-0.686[/C][C]0.247486[/C][/ROW]
[ROW][C]57[/C][C]-0.028204[/C][C]-0.236[/C][C]0.407072[/C][/ROW]
[ROW][C]58[/C][C]-0.021611[/C][C]-0.1808[/C][C]0.428519[/C][/ROW]
[ROW][C]59[/C][C]0.021258[/C][C]0.1779[/C][C]0.429675[/C][/ROW]
[ROW][C]60[/C][C]0.082296[/C][C]0.6885[/C][C]0.246695[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59085&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59085&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 0.596316 4.9891 2e-06 2 0.436256 3.65 0.000251 3 0.525282 4.3948 1.9e-05 4 0.463184 3.8753 0.000119 5 0.36769 3.0763 0.001495 6 0.375729 3.1436 0.001224 7 0.217572 1.8203 0.036491 8 0.273183 2.2856 0.012654 9 0.157751 1.3198 0.095595 10 0.018078 0.1513 0.440106 11 0.13682 1.1447 0.128112 12 0.325976 2.7273 0.004032 13 0.09211 0.7707 0.221754 14 0.008605 0.072 0.471405 15 0.072085 0.6031 0.274194 16 0.10255 0.858 0.196912 17 0.037679 0.3152 0.376758 18 0.064875 0.5428 0.294502 19 0.030799 0.2577 0.398703 20 0.045038 0.3768 0.353727 21 -0.048473 -0.4056 0.343155 22 -0.119893 -1.0031 0.159634 23 -0.041924 -0.3508 0.36341 24 0.066135 0.5533 0.290903 25 -0.0599 -0.5012 0.308917 26 -0.170555 -1.427 0.079017 27 -0.094148 -0.7877 0.216765 28 -0.03586 -0.3 0.382524 29 -0.120849 -1.0111 0.157726 30 -0.101054 -0.8455 0.200362 31 -0.078576 -0.6574 0.256535 32 -0.149229 -1.2485 0.107997 33 -0.171955 -1.4387 0.077349 34 -0.205009 -1.7152 0.045364 35 -0.213933 -1.7899 0.038898 36 -0.108038 -0.9039 0.184571 37 -0.179222 -1.4995 0.069124 38 -0.285478 -2.3885 0.009809 39 -0.190875 -1.597 0.057388 40 -0.168067 -1.4062 0.082052 41 -0.226482 -1.8949 0.031119 42 -0.18408 -1.5401 0.064019 43 -0.162986 -1.3636 0.088526 44 -0.226735 -1.897 0.030977 45 -0.213127 -1.7831 0.039449 46 -0.228208 -1.9093 0.03016 47 -0.220578 -1.8455 0.034598 48 -0.142101 -1.1889 0.119247 49 -0.195515 -1.6358 0.053185 50 -0.247249 -2.0686 0.021138 51 -0.165885 -1.3879 0.084786 52 -0.160119 -1.3397 0.092345 53 -0.176093 -1.4733 0.072576 54 -0.115759 -0.9685 0.168063 55 -0.098945 -0.8278 0.205289 56 -0.081994 -0.686 0.247486 57 -0.028204 -0.236 0.407072 58 -0.021611 -0.1808 0.428519 59 0.021258 0.1779 0.429675 60 0.082296 0.6885 0.246695

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.596316 4.9891 2e-06 2 0.125174 1.0473 0.149287 3 0.351651 2.9421 0.002209 4 0.050384 0.4215 0.337326 5 0.019418 0.1625 0.435706 6 0.059989 0.5019 0.308655 7 -0.235186 -1.9677 0.026532 8 0.196602 1.6449 0.052238 9 -0.295154 -2.4694 0.007987 10 -0.050072 -0.4189 0.338273 11 0.181363 1.5174 0.066836 12 0.368209 3.0807 0.001476 13 -0.204385 -1.71 0.045847 14 -0.167113 -1.3982 0.083239 15 -0.010345 -0.0866 0.465637 16 0.04338 0.3629 0.35887 17 -0.068778 -0.5754 0.283421 18 0.050296 0.4208 0.337593 19 0.048353 0.4045 0.343521 20 -0.108391 -0.9069 0.183795 21 -0.02959 -0.2476 0.402596 22 -0.009917 -0.083 0.467056 23 0.015732 0.1316 0.447828 24 -0.062424 -0.5223 0.301563 25 0.075532 0.6319 0.264741 26 -0.151311 -1.266 0.104862 27 0.078572 0.6574 0.256545 28 0.018814 0.1574 0.437689 29 -0.03222 -0.2696 0.394141 30 -0.052608 -0.4402 0.330592 31 -0.046699 -0.3907 0.348599 32 -0.133262 -1.115 0.134342 33 0.038324 0.3206 0.37472 34 0.004299 0.036 0.485705 35 -0.115622 -0.9674 0.168346 36 0.027052 0.2263 0.410801 37 -0.006108 -0.0511 0.479694 38 0.071694 0.5998 0.275277 39 -0.097601 -0.8166 0.208467 40 0.010961 0.0917 0.463595 41 -0.049645 -0.4154 0.339574 42 -0.052977 -0.4432 0.32948 43 -0.005191 -0.0434 0.48274 44 -0.064373 -0.5386 0.295941 45 -0.005359 -0.0448 0.482183 46 -0.038344 -0.3208 0.374655 47 0.035156 0.2941 0.384762 48 -0.021066 -0.1763 0.430302 49 -0.060977 -0.5102 0.305769 50 0.055569 0.4649 0.321714 51 -0.0259 -0.2167 0.414538 52 -0.037202 -0.3113 0.378265 53 0.018309 0.1532 0.439346 54 0.030743 0.2572 0.398884 55 -0.005544 -0.0464 0.481569 56 0.098567 0.8247 0.20618 57 0.099479 0.8323 0.204034 58 -0.021741 -0.1819 0.428095 59 0.004352 0.0364 0.485529 60 0.037146 0.3108 0.378442

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.596316 & 4.9891 & 2e-06 \tabularnewline
2 & 0.125174 & 1.0473 & 0.149287 \tabularnewline
3 & 0.351651 & 2.9421 & 0.002209 \tabularnewline
4 & 0.050384 & 0.4215 & 0.337326 \tabularnewline
5 & 0.019418 & 0.1625 & 0.435706 \tabularnewline
6 & 0.059989 & 0.5019 & 0.308655 \tabularnewline
7 & -0.235186 & -1.9677 & 0.026532 \tabularnewline
8 & 0.196602 & 1.6449 & 0.052238 \tabularnewline
9 & -0.295154 & -2.4694 & 0.007987 \tabularnewline
10 & -0.050072 & -0.4189 & 0.338273 \tabularnewline
11 & 0.181363 & 1.5174 & 0.066836 \tabularnewline
12 & 0.368209 & 3.0807 & 0.001476 \tabularnewline
13 & -0.204385 & -1.71 & 0.045847 \tabularnewline
14 & -0.167113 & -1.3982 & 0.083239 \tabularnewline
15 & -0.010345 & -0.0866 & 0.465637 \tabularnewline
16 & 0.04338 & 0.3629 & 0.35887 \tabularnewline
17 & -0.068778 & -0.5754 & 0.283421 \tabularnewline
18 & 0.050296 & 0.4208 & 0.337593 \tabularnewline
19 & 0.048353 & 0.4045 & 0.343521 \tabularnewline
20 & -0.108391 & -0.9069 & 0.183795 \tabularnewline
21 & -0.02959 & -0.2476 & 0.402596 \tabularnewline
22 & -0.009917 & -0.083 & 0.467056 \tabularnewline
23 & 0.015732 & 0.1316 & 0.447828 \tabularnewline
24 & -0.062424 & -0.5223 & 0.301563 \tabularnewline
25 & 0.075532 & 0.6319 & 0.264741 \tabularnewline
26 & -0.151311 & -1.266 & 0.104862 \tabularnewline
27 & 0.078572 & 0.6574 & 0.256545 \tabularnewline
28 & 0.018814 & 0.1574 & 0.437689 \tabularnewline
29 & -0.03222 & -0.2696 & 0.394141 \tabularnewline
30 & -0.052608 & -0.4402 & 0.330592 \tabularnewline
31 & -0.046699 & -0.3907 & 0.348599 \tabularnewline
32 & -0.133262 & -1.115 & 0.134342 \tabularnewline
33 & 0.038324 & 0.3206 & 0.37472 \tabularnewline
34 & 0.004299 & 0.036 & 0.485705 \tabularnewline
35 & -0.115622 & -0.9674 & 0.168346 \tabularnewline
36 & 0.027052 & 0.2263 & 0.410801 \tabularnewline
37 & -0.006108 & -0.0511 & 0.479694 \tabularnewline
38 & 0.071694 & 0.5998 & 0.275277 \tabularnewline
39 & -0.097601 & -0.8166 & 0.208467 \tabularnewline
40 & 0.010961 & 0.0917 & 0.463595 \tabularnewline
41 & -0.049645 & -0.4154 & 0.339574 \tabularnewline
42 & -0.052977 & -0.4432 & 0.32948 \tabularnewline
43 & -0.005191 & -0.0434 & 0.48274 \tabularnewline
44 & -0.064373 & -0.5386 & 0.295941 \tabularnewline
45 & -0.005359 & -0.0448 & 0.482183 \tabularnewline
46 & -0.038344 & -0.3208 & 0.374655 \tabularnewline
47 & 0.035156 & 0.2941 & 0.384762 \tabularnewline
48 & -0.021066 & -0.1763 & 0.430302 \tabularnewline
49 & -0.060977 & -0.5102 & 0.305769 \tabularnewline
50 & 0.055569 & 0.4649 & 0.321714 \tabularnewline
51 & -0.0259 & -0.2167 & 0.414538 \tabularnewline
52 & -0.037202 & -0.3113 & 0.378265 \tabularnewline
53 & 0.018309 & 0.1532 & 0.439346 \tabularnewline
54 & 0.030743 & 0.2572 & 0.398884 \tabularnewline
55 & -0.005544 & -0.0464 & 0.481569 \tabularnewline
56 & 0.098567 & 0.8247 & 0.20618 \tabularnewline
57 & 0.099479 & 0.8323 & 0.204034 \tabularnewline
58 & -0.021741 & -0.1819 & 0.428095 \tabularnewline
59 & 0.004352 & 0.0364 & 0.485529 \tabularnewline
60 & 0.037146 & 0.3108 & 0.378442 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59085&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]0.596316[/C][C]4.9891[/C][C]2e-06[/C][/ROW]
[ROW][C]2[/C][C]0.125174[/C][C]1.0473[/C][C]0.149287[/C][/ROW]
[ROW][C]3[/C][C]0.351651[/C][C]2.9421[/C][C]0.002209[/C][/ROW]
[ROW][C]4[/C][C]0.050384[/C][C]0.4215[/C][C]0.337326[/C][/ROW]
[ROW][C]5[/C][C]0.019418[/C][C]0.1625[/C][C]0.435706[/C][/ROW]
[ROW][C]6[/C][C]0.059989[/C][C]0.5019[/C][C]0.308655[/C][/ROW]
[ROW][C]7[/C][C]-0.235186[/C][C]-1.9677[/C][C]0.026532[/C][/ROW]
[ROW][C]8[/C][C]0.196602[/C][C]1.6449[/C][C]0.052238[/C][/ROW]
[ROW][C]9[/C][C]-0.295154[/C][C]-2.4694[/C][C]0.007987[/C][/ROW]
[ROW][C]10[/C][C]-0.050072[/C][C]-0.4189[/C][C]0.338273[/C][/ROW]
[ROW][C]11[/C][C]0.181363[/C][C]1.5174[/C][C]0.066836[/C][/ROW]
[ROW][C]12[/C][C]0.368209[/C][C]3.0807[/C][C]0.001476[/C][/ROW]
[ROW][C]13[/C][C]-0.204385[/C][C]-1.71[/C][C]0.045847[/C][/ROW]
[ROW][C]14[/C][C]-0.167113[/C][C]-1.3982[/C][C]0.083239[/C][/ROW]
[ROW][C]15[/C][C]-0.010345[/C][C]-0.0866[/C][C]0.465637[/C][/ROW]
[ROW][C]16[/C][C]0.04338[/C][C]0.3629[/C][C]0.35887[/C][/ROW]
[ROW][C]17[/C][C]-0.068778[/C][C]-0.5754[/C][C]0.283421[/C][/ROW]
[ROW][C]18[/C][C]0.050296[/C][C]0.4208[/C][C]0.337593[/C][/ROW]
[ROW][C]19[/C][C]0.048353[/C][C]0.4045[/C][C]0.343521[/C][/ROW]
[ROW][C]20[/C][C]-0.108391[/C][C]-0.9069[/C][C]0.183795[/C][/ROW]
[ROW][C]21[/C][C]-0.02959[/C][C]-0.2476[/C][C]0.402596[/C][/ROW]
[ROW][C]22[/C][C]-0.009917[/C][C]-0.083[/C][C]0.467056[/C][/ROW]
[ROW][C]23[/C][C]0.015732[/C][C]0.1316[/C][C]0.447828[/C][/ROW]
[ROW][C]24[/C][C]-0.062424[/C][C]-0.5223[/C][C]0.301563[/C][/ROW]
[ROW][C]25[/C][C]0.075532[/C][C]0.6319[/C][C]0.264741[/C][/ROW]
[ROW][C]26[/C][C]-0.151311[/C][C]-1.266[/C][C]0.104862[/C][/ROW]
[ROW][C]27[/C][C]0.078572[/C][C]0.6574[/C][C]0.256545[/C][/ROW]
[ROW][C]28[/C][C]0.018814[/C][C]0.1574[/C][C]0.437689[/C][/ROW]
[ROW][C]29[/C][C]-0.03222[/C][C]-0.2696[/C][C]0.394141[/C][/ROW]
[ROW][C]30[/C][C]-0.052608[/C][C]-0.4402[/C][C]0.330592[/C][/ROW]
[ROW][C]31[/C][C]-0.046699[/C][C]-0.3907[/C][C]0.348599[/C][/ROW]
[ROW][C]32[/C][C]-0.133262[/C][C]-1.115[/C][C]0.134342[/C][/ROW]
[ROW][C]33[/C][C]0.038324[/C][C]0.3206[/C][C]0.37472[/C][/ROW]
[ROW][C]34[/C][C]0.004299[/C][C]0.036[/C][C]0.485705[/C][/ROW]
[ROW][C]35[/C][C]-0.115622[/C][C]-0.9674[/C][C]0.168346[/C][/ROW]
[ROW][C]36[/C][C]0.027052[/C][C]0.2263[/C][C]0.410801[/C][/ROW]
[ROW][C]37[/C][C]-0.006108[/C][C]-0.0511[/C][C]0.479694[/C][/ROW]
[ROW][C]38[/C][C]0.071694[/C][C]0.5998[/C][C]0.275277[/C][/ROW]
[ROW][C]39[/C][C]-0.097601[/C][C]-0.8166[/C][C]0.208467[/C][/ROW]
[ROW][C]40[/C][C]0.010961[/C][C]0.0917[/C][C]0.463595[/C][/ROW]
[ROW][C]41[/C][C]-0.049645[/C][C]-0.4154[/C][C]0.339574[/C][/ROW]
[ROW][C]42[/C][C]-0.052977[/C][C]-0.4432[/C][C]0.32948[/C][/ROW]
[ROW][C]43[/C][C]-0.005191[/C][C]-0.0434[/C][C]0.48274[/C][/ROW]
[ROW][C]44[/C][C]-0.064373[/C][C]-0.5386[/C][C]0.295941[/C][/ROW]
[ROW][C]45[/C][C]-0.005359[/C][C]-0.0448[/C][C]0.482183[/C][/ROW]
[ROW][C]46[/C][C]-0.038344[/C][C]-0.3208[/C][C]0.374655[/C][/ROW]
[ROW][C]47[/C][C]0.035156[/C][C]0.2941[/C][C]0.384762[/C][/ROW]
[ROW][C]48[/C][C]-0.021066[/C][C]-0.1763[/C][C]0.430302[/C][/ROW]
[ROW][C]49[/C][C]-0.060977[/C][C]-0.5102[/C][C]0.305769[/C][/ROW]
[ROW][C]50[/C][C]0.055569[/C][C]0.4649[/C][C]0.321714[/C][/ROW]
[ROW][C]51[/C][C]-0.0259[/C][C]-0.2167[/C][C]0.414538[/C][/ROW]
[ROW][C]52[/C][C]-0.037202[/C][C]-0.3113[/C][C]0.378265[/C][/ROW]
[ROW][C]53[/C][C]0.018309[/C][C]0.1532[/C][C]0.439346[/C][/ROW]
[ROW][C]54[/C][C]0.030743[/C][C]0.2572[/C][C]0.398884[/C][/ROW]
[ROW][C]55[/C][C]-0.005544[/C][C]-0.0464[/C][C]0.481569[/C][/ROW]
[ROW][C]56[/C][C]0.098567[/C][C]0.8247[/C][C]0.20618[/C][/ROW]
[ROW][C]57[/C][C]0.099479[/C][C]0.8323[/C][C]0.204034[/C][/ROW]
[ROW][C]58[/C][C]-0.021741[/C][C]-0.1819[/C][C]0.428095[/C][/ROW]
[ROW][C]59[/C][C]0.004352[/C][C]0.0364[/C][C]0.485529[/C][/ROW]
[ROW][C]60[/C][C]0.037146[/C][C]0.3108[/C][C]0.378442[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59085&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59085&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 0.596316 4.9891 2e-06 2 0.125174 1.0473 0.149287 3 0.351651 2.9421 0.002209 4 0.050384 0.4215 0.337326 5 0.019418 0.1625 0.435706 6 0.059989 0.5019 0.308655 7 -0.235186 -1.9677 0.026532 8 0.196602 1.6449 0.052238 9 -0.295154 -2.4694 0.007987 10 -0.050072 -0.4189 0.338273 11 0.181363 1.5174 0.066836 12 0.368209 3.0807 0.001476 13 -0.204385 -1.71 0.045847 14 -0.167113 -1.3982 0.083239 15 -0.010345 -0.0866 0.465637 16 0.04338 0.3629 0.35887 17 -0.068778 -0.5754 0.283421 18 0.050296 0.4208 0.337593 19 0.048353 0.4045 0.343521 20 -0.108391 -0.9069 0.183795 21 -0.02959 -0.2476 0.402596 22 -0.009917 -0.083 0.467056 23 0.015732 0.1316 0.447828 24 -0.062424 -0.5223 0.301563 25 0.075532 0.6319 0.264741 26 -0.151311 -1.266 0.104862 27 0.078572 0.6574 0.256545 28 0.018814 0.1574 0.437689 29 -0.03222 -0.2696 0.394141 30 -0.052608 -0.4402 0.330592 31 -0.046699 -0.3907 0.348599 32 -0.133262 -1.115 0.134342 33 0.038324 0.3206 0.37472 34 0.004299 0.036 0.485705 35 -0.115622 -0.9674 0.168346 36 0.027052 0.2263 0.410801 37 -0.006108 -0.0511 0.479694 38 0.071694 0.5998 0.275277 39 -0.097601 -0.8166 0.208467 40 0.010961 0.0917 0.463595 41 -0.049645 -0.4154 0.339574 42 -0.052977 -0.4432 0.32948 43 -0.005191 -0.0434 0.48274 44 -0.064373 -0.5386 0.295941 45 -0.005359 -0.0448 0.482183 46 -0.038344 -0.3208 0.374655 47 0.035156 0.2941 0.384762 48 -0.021066 -0.1763 0.430302 49 -0.060977 -0.5102 0.305769 50 0.055569 0.4649 0.321714 51 -0.0259 -0.2167 0.414538 52 -0.037202 -0.3113 0.378265 53 0.018309 0.1532 0.439346 54 0.030743 0.2572 0.398884 55 -0.005544 -0.0464 0.481569 56 0.098567 0.8247 0.20618 57 0.099479 0.8323 0.204034 58 -0.021741 -0.1819 0.428095 59 0.004352 0.0364 0.485529 60 0.037146 0.3108 0.378442

Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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)
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.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
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)