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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 computationWed, 28 Nov 2012 11:56:20 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/28/t13541219485fhn9ja36eec30c.htm/, Retrieved Thu, 28 Mar 2024 11:46:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=194194, Retrieved Thu, 28 Mar 2024 11:46:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Monthly US soldie...] [2010-11-02 12:07:39] [b98453cac15ba1066b407e146608df68]
- RMPD  [Multiple Regression] [Soldiers] [2010-11-30 14:13:36] [b98453cac15ba1066b407e146608df68]
- RMPD      [(Partial) Autocorrelation Function] [ACF d=1 D=0] [2012-11-28 16:56:20] [4c917d823355d00d361b7013e9f37760] [Current]
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Dataseries X:
37
30
47
35
30
43
82
40
47
19
52
136
80
42
54
66
81
63
137
72
107
58
36
52
79
77
54
84
48
96
83
66
61
53
30
74
69
59
42
65
70
100
63
105
82
81
75
102
121
98
76
77
63
37
35
23
40
29
37
51
20
28
13
22
25
13
16
13
16
17
9
17
25
14
8
7
10
7
10
3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194194&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194194&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194194&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.400271-3.55770.000318
20.0200340.17810.429563
3-0.166789-1.48250.071099
40.046290.41140.340934
50.0550480.48930.313
60.0071380.06340.474786
70.0291390.2590.398158
8-0.079331-0.70510.241408
90.1385641.23160.110879
10-0.120327-1.06950.144053
11-0.09902-0.88010.190736
120.1728031.53590.064278
13-0.026325-0.2340.407801
140.0069120.06140.475583
15-0.087963-0.78180.218325
160.051040.45370.325661
17-0.107422-0.95480.171298
180.1066050.94750.173131
190.0704270.6260.26657
20-0.143628-1.27660.102742
210.1361641.21030.114895
22-0.181552-1.61370.055294
230.1052860.93580.176112
24-0.003936-0.0350.486092
250.1417321.25970.105736
26-0.189517-1.68450.048019
270.0269230.23930.405747
28-0.074059-0.65820.256146
290.1044950.92880.177919
300.0675270.60020.275048
31-0.067397-0.5990.275432
320.0416860.37050.355997
330.0274070.24360.404087
34-0.042041-0.37370.354827
35-0.043521-0.38680.349964
36-0.009321-0.08280.467092
370.0869050.77240.221084
38-0.028488-0.25320.400384
39-0.028507-0.25340.400319
40-0.037129-0.330.371134
410.1036640.92140.179826
42-0.081124-0.7210.236505
430.0517810.46020.323304
44-0.090501-0.80440.211794
450.0465250.41350.340171
460.0010670.00950.496228
47-0.043298-0.38480.350694
480.0826850.73490.232281

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.400271 & -3.5577 & 0.000318 \tabularnewline
2 & 0.020034 & 0.1781 & 0.429563 \tabularnewline
3 & -0.166789 & -1.4825 & 0.071099 \tabularnewline
4 & 0.04629 & 0.4114 & 0.340934 \tabularnewline
5 & 0.055048 & 0.4893 & 0.313 \tabularnewline
6 & 0.007138 & 0.0634 & 0.474786 \tabularnewline
7 & 0.029139 & 0.259 & 0.398158 \tabularnewline
8 & -0.079331 & -0.7051 & 0.241408 \tabularnewline
9 & 0.138564 & 1.2316 & 0.110879 \tabularnewline
10 & -0.120327 & -1.0695 & 0.144053 \tabularnewline
11 & -0.09902 & -0.8801 & 0.190736 \tabularnewline
12 & 0.172803 & 1.5359 & 0.064278 \tabularnewline
13 & -0.026325 & -0.234 & 0.407801 \tabularnewline
14 & 0.006912 & 0.0614 & 0.475583 \tabularnewline
15 & -0.087963 & -0.7818 & 0.218325 \tabularnewline
16 & 0.05104 & 0.4537 & 0.325661 \tabularnewline
17 & -0.107422 & -0.9548 & 0.171298 \tabularnewline
18 & 0.106605 & 0.9475 & 0.173131 \tabularnewline
19 & 0.070427 & 0.626 & 0.26657 \tabularnewline
20 & -0.143628 & -1.2766 & 0.102742 \tabularnewline
21 & 0.136164 & 1.2103 & 0.114895 \tabularnewline
22 & -0.181552 & -1.6137 & 0.055294 \tabularnewline
23 & 0.105286 & 0.9358 & 0.176112 \tabularnewline
24 & -0.003936 & -0.035 & 0.486092 \tabularnewline
25 & 0.141732 & 1.2597 & 0.105736 \tabularnewline
26 & -0.189517 & -1.6845 & 0.048019 \tabularnewline
27 & 0.026923 & 0.2393 & 0.405747 \tabularnewline
28 & -0.074059 & -0.6582 & 0.256146 \tabularnewline
29 & 0.104495 & 0.9288 & 0.177919 \tabularnewline
30 & 0.067527 & 0.6002 & 0.275048 \tabularnewline
31 & -0.067397 & -0.599 & 0.275432 \tabularnewline
32 & 0.041686 & 0.3705 & 0.355997 \tabularnewline
33 & 0.027407 & 0.2436 & 0.404087 \tabularnewline
34 & -0.042041 & -0.3737 & 0.354827 \tabularnewline
35 & -0.043521 & -0.3868 & 0.349964 \tabularnewline
36 & -0.009321 & -0.0828 & 0.467092 \tabularnewline
37 & 0.086905 & 0.7724 & 0.221084 \tabularnewline
38 & -0.028488 & -0.2532 & 0.400384 \tabularnewline
39 & -0.028507 & -0.2534 & 0.400319 \tabularnewline
40 & -0.037129 & -0.33 & 0.371134 \tabularnewline
41 & 0.103664 & 0.9214 & 0.179826 \tabularnewline
42 & -0.081124 & -0.721 & 0.236505 \tabularnewline
43 & 0.051781 & 0.4602 & 0.323304 \tabularnewline
44 & -0.090501 & -0.8044 & 0.211794 \tabularnewline
45 & 0.046525 & 0.4135 & 0.340171 \tabularnewline
46 & 0.001067 & 0.0095 & 0.496228 \tabularnewline
47 & -0.043298 & -0.3848 & 0.350694 \tabularnewline
48 & 0.082685 & 0.7349 & 0.232281 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194194&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]-0.400271[/C][C]-3.5577[/C][C]0.000318[/C][/ROW]
[ROW][C]2[/C][C]0.020034[/C][C]0.1781[/C][C]0.429563[/C][/ROW]
[ROW][C]3[/C][C]-0.166789[/C][C]-1.4825[/C][C]0.071099[/C][/ROW]
[ROW][C]4[/C][C]0.04629[/C][C]0.4114[/C][C]0.340934[/C][/ROW]
[ROW][C]5[/C][C]0.055048[/C][C]0.4893[/C][C]0.313[/C][/ROW]
[ROW][C]6[/C][C]0.007138[/C][C]0.0634[/C][C]0.474786[/C][/ROW]
[ROW][C]7[/C][C]0.029139[/C][C]0.259[/C][C]0.398158[/C][/ROW]
[ROW][C]8[/C][C]-0.079331[/C][C]-0.7051[/C][C]0.241408[/C][/ROW]
[ROW][C]9[/C][C]0.138564[/C][C]1.2316[/C][C]0.110879[/C][/ROW]
[ROW][C]10[/C][C]-0.120327[/C][C]-1.0695[/C][C]0.144053[/C][/ROW]
[ROW][C]11[/C][C]-0.09902[/C][C]-0.8801[/C][C]0.190736[/C][/ROW]
[ROW][C]12[/C][C]0.172803[/C][C]1.5359[/C][C]0.064278[/C][/ROW]
[ROW][C]13[/C][C]-0.026325[/C][C]-0.234[/C][C]0.407801[/C][/ROW]
[ROW][C]14[/C][C]0.006912[/C][C]0.0614[/C][C]0.475583[/C][/ROW]
[ROW][C]15[/C][C]-0.087963[/C][C]-0.7818[/C][C]0.218325[/C][/ROW]
[ROW][C]16[/C][C]0.05104[/C][C]0.4537[/C][C]0.325661[/C][/ROW]
[ROW][C]17[/C][C]-0.107422[/C][C]-0.9548[/C][C]0.171298[/C][/ROW]
[ROW][C]18[/C][C]0.106605[/C][C]0.9475[/C][C]0.173131[/C][/ROW]
[ROW][C]19[/C][C]0.070427[/C][C]0.626[/C][C]0.26657[/C][/ROW]
[ROW][C]20[/C][C]-0.143628[/C][C]-1.2766[/C][C]0.102742[/C][/ROW]
[ROW][C]21[/C][C]0.136164[/C][C]1.2103[/C][C]0.114895[/C][/ROW]
[ROW][C]22[/C][C]-0.181552[/C][C]-1.6137[/C][C]0.055294[/C][/ROW]
[ROW][C]23[/C][C]0.105286[/C][C]0.9358[/C][C]0.176112[/C][/ROW]
[ROW][C]24[/C][C]-0.003936[/C][C]-0.035[/C][C]0.486092[/C][/ROW]
[ROW][C]25[/C][C]0.141732[/C][C]1.2597[/C][C]0.105736[/C][/ROW]
[ROW][C]26[/C][C]-0.189517[/C][C]-1.6845[/C][C]0.048019[/C][/ROW]
[ROW][C]27[/C][C]0.026923[/C][C]0.2393[/C][C]0.405747[/C][/ROW]
[ROW][C]28[/C][C]-0.074059[/C][C]-0.6582[/C][C]0.256146[/C][/ROW]
[ROW][C]29[/C][C]0.104495[/C][C]0.9288[/C][C]0.177919[/C][/ROW]
[ROW][C]30[/C][C]0.067527[/C][C]0.6002[/C][C]0.275048[/C][/ROW]
[ROW][C]31[/C][C]-0.067397[/C][C]-0.599[/C][C]0.275432[/C][/ROW]
[ROW][C]32[/C][C]0.041686[/C][C]0.3705[/C][C]0.355997[/C][/ROW]
[ROW][C]33[/C][C]0.027407[/C][C]0.2436[/C][C]0.404087[/C][/ROW]
[ROW][C]34[/C][C]-0.042041[/C][C]-0.3737[/C][C]0.354827[/C][/ROW]
[ROW][C]35[/C][C]-0.043521[/C][C]-0.3868[/C][C]0.349964[/C][/ROW]
[ROW][C]36[/C][C]-0.009321[/C][C]-0.0828[/C][C]0.467092[/C][/ROW]
[ROW][C]37[/C][C]0.086905[/C][C]0.7724[/C][C]0.221084[/C][/ROW]
[ROW][C]38[/C][C]-0.028488[/C][C]-0.2532[/C][C]0.400384[/C][/ROW]
[ROW][C]39[/C][C]-0.028507[/C][C]-0.2534[/C][C]0.400319[/C][/ROW]
[ROW][C]40[/C][C]-0.037129[/C][C]-0.33[/C][C]0.371134[/C][/ROW]
[ROW][C]41[/C][C]0.103664[/C][C]0.9214[/C][C]0.179826[/C][/ROW]
[ROW][C]42[/C][C]-0.081124[/C][C]-0.721[/C][C]0.236505[/C][/ROW]
[ROW][C]43[/C][C]0.051781[/C][C]0.4602[/C][C]0.323304[/C][/ROW]
[ROW][C]44[/C][C]-0.090501[/C][C]-0.8044[/C][C]0.211794[/C][/ROW]
[ROW][C]45[/C][C]0.046525[/C][C]0.4135[/C][C]0.340171[/C][/ROW]
[ROW][C]46[/C][C]0.001067[/C][C]0.0095[/C][C]0.496228[/C][/ROW]
[ROW][C]47[/C][C]-0.043298[/C][C]-0.3848[/C][C]0.350694[/C][/ROW]
[ROW][C]48[/C][C]0.082685[/C][C]0.7349[/C][C]0.232281[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194194&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194194&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 kACF(k)T-STATP-value
1-0.400271-3.55770.000318
20.0200340.17810.429563
3-0.166789-1.48250.071099
40.046290.41140.340934
50.0550480.48930.313
60.0071380.06340.474786
70.0291390.2590.398158
8-0.079331-0.70510.241408
90.1385641.23160.110879
10-0.120327-1.06950.144053
11-0.09902-0.88010.190736
120.1728031.53590.064278
13-0.026325-0.2340.407801
140.0069120.06140.475583
15-0.087963-0.78180.218325
160.051040.45370.325661
17-0.107422-0.95480.171298
180.1066050.94750.173131
190.0704270.6260.26657
20-0.143628-1.27660.102742
210.1361641.21030.114895
22-0.181552-1.61370.055294
230.1052860.93580.176112
24-0.003936-0.0350.486092
250.1417321.25970.105736
26-0.189517-1.68450.048019
270.0269230.23930.405747
28-0.074059-0.65820.256146
290.1044950.92880.177919
300.0675270.60020.275048
31-0.067397-0.5990.275432
320.0416860.37050.355997
330.0274070.24360.404087
34-0.042041-0.37370.354827
35-0.043521-0.38680.349964
36-0.009321-0.08280.467092
370.0869050.77240.221084
38-0.028488-0.25320.400384
39-0.028507-0.25340.400319
40-0.037129-0.330.371134
410.1036640.92140.179826
42-0.081124-0.7210.236505
430.0517810.46020.323304
44-0.090501-0.80440.211794
450.0465250.41350.340171
460.0010670.00950.496228
47-0.043298-0.38480.350694
480.0826850.73490.232281







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.400271-3.55770.000318
2-0.166928-1.48370.070935
3-0.274685-2.44150.008432
4-0.189851-1.68740.047732
5-0.063115-0.5610.2882
6-0.041738-0.3710.355824
70.0252330.22430.411562
8-0.040211-0.35740.360872
90.1401391.24560.1083
100.0127730.11350.454949
11-0.189076-1.68050.048401
120.0756340.67230.251692
130.0437410.38880.349244
14-0.024573-0.21840.413836
15-0.054753-0.48670.313924
160.0119630.10630.457795
17-0.1379-1.22570.111979
18-0.071438-0.6350.263647
190.1138531.0120.157325
20-0.070475-0.62640.266431
210.0418150.37170.35557
22-0.092904-0.82570.205716
230.0062510.05560.477916
240.0285070.25340.400318
250.1453621.2920.100061
26-0.041394-0.36790.356959
27-0.042805-0.38050.352313
28-0.170548-1.51590.066772
290.0412550.36670.357419
300.0807340.71760.237566
31-0.038786-0.34470.365605
320.0939630.83520.203072
330.1542051.37060.08719
340.0495250.44020.330502
350.0370440.32930.371416
360.0247720.22020.41315
37-0.040621-0.3610.359514
38-0.032456-0.28850.386868
39-0.095848-0.85190.198419
40-0.011681-0.10380.458788
410.1243881.10560.136132
42-0.106137-0.94340.174186
430.0244530.21730.414252
44-0.058895-0.52350.301057
45-0.04425-0.39330.347576
46-0.016758-0.14890.440988
47-0.001269-0.01130.495515
480.0011420.01020.495962

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.400271 & -3.5577 & 0.000318 \tabularnewline
2 & -0.166928 & -1.4837 & 0.070935 \tabularnewline
3 & -0.274685 & -2.4415 & 0.008432 \tabularnewline
4 & -0.189851 & -1.6874 & 0.047732 \tabularnewline
5 & -0.063115 & -0.561 & 0.2882 \tabularnewline
6 & -0.041738 & -0.371 & 0.355824 \tabularnewline
7 & 0.025233 & 0.2243 & 0.411562 \tabularnewline
8 & -0.040211 & -0.3574 & 0.360872 \tabularnewline
9 & 0.140139 & 1.2456 & 0.1083 \tabularnewline
10 & 0.012773 & 0.1135 & 0.454949 \tabularnewline
11 & -0.189076 & -1.6805 & 0.048401 \tabularnewline
12 & 0.075634 & 0.6723 & 0.251692 \tabularnewline
13 & 0.043741 & 0.3888 & 0.349244 \tabularnewline
14 & -0.024573 & -0.2184 & 0.413836 \tabularnewline
15 & -0.054753 & -0.4867 & 0.313924 \tabularnewline
16 & 0.011963 & 0.1063 & 0.457795 \tabularnewline
17 & -0.1379 & -1.2257 & 0.111979 \tabularnewline
18 & -0.071438 & -0.635 & 0.263647 \tabularnewline
19 & 0.113853 & 1.012 & 0.157325 \tabularnewline
20 & -0.070475 & -0.6264 & 0.266431 \tabularnewline
21 & 0.041815 & 0.3717 & 0.35557 \tabularnewline
22 & -0.092904 & -0.8257 & 0.205716 \tabularnewline
23 & 0.006251 & 0.0556 & 0.477916 \tabularnewline
24 & 0.028507 & 0.2534 & 0.400318 \tabularnewline
25 & 0.145362 & 1.292 & 0.100061 \tabularnewline
26 & -0.041394 & -0.3679 & 0.356959 \tabularnewline
27 & -0.042805 & -0.3805 & 0.352313 \tabularnewline
28 & -0.170548 & -1.5159 & 0.066772 \tabularnewline
29 & 0.041255 & 0.3667 & 0.357419 \tabularnewline
30 & 0.080734 & 0.7176 & 0.237566 \tabularnewline
31 & -0.038786 & -0.3447 & 0.365605 \tabularnewline
32 & 0.093963 & 0.8352 & 0.203072 \tabularnewline
33 & 0.154205 & 1.3706 & 0.08719 \tabularnewline
34 & 0.049525 & 0.4402 & 0.330502 \tabularnewline
35 & 0.037044 & 0.3293 & 0.371416 \tabularnewline
36 & 0.024772 & 0.2202 & 0.41315 \tabularnewline
37 & -0.040621 & -0.361 & 0.359514 \tabularnewline
38 & -0.032456 & -0.2885 & 0.386868 \tabularnewline
39 & -0.095848 & -0.8519 & 0.198419 \tabularnewline
40 & -0.011681 & -0.1038 & 0.458788 \tabularnewline
41 & 0.124388 & 1.1056 & 0.136132 \tabularnewline
42 & -0.106137 & -0.9434 & 0.174186 \tabularnewline
43 & 0.024453 & 0.2173 & 0.414252 \tabularnewline
44 & -0.058895 & -0.5235 & 0.301057 \tabularnewline
45 & -0.04425 & -0.3933 & 0.347576 \tabularnewline
46 & -0.016758 & -0.1489 & 0.440988 \tabularnewline
47 & -0.001269 & -0.0113 & 0.495515 \tabularnewline
48 & 0.001142 & 0.0102 & 0.495962 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194194&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]-0.400271[/C][C]-3.5577[/C][C]0.000318[/C][/ROW]
[ROW][C]2[/C][C]-0.166928[/C][C]-1.4837[/C][C]0.070935[/C][/ROW]
[ROW][C]3[/C][C]-0.274685[/C][C]-2.4415[/C][C]0.008432[/C][/ROW]
[ROW][C]4[/C][C]-0.189851[/C][C]-1.6874[/C][C]0.047732[/C][/ROW]
[ROW][C]5[/C][C]-0.063115[/C][C]-0.561[/C][C]0.2882[/C][/ROW]
[ROW][C]6[/C][C]-0.041738[/C][C]-0.371[/C][C]0.355824[/C][/ROW]
[ROW][C]7[/C][C]0.025233[/C][C]0.2243[/C][C]0.411562[/C][/ROW]
[ROW][C]8[/C][C]-0.040211[/C][C]-0.3574[/C][C]0.360872[/C][/ROW]
[ROW][C]9[/C][C]0.140139[/C][C]1.2456[/C][C]0.1083[/C][/ROW]
[ROW][C]10[/C][C]0.012773[/C][C]0.1135[/C][C]0.454949[/C][/ROW]
[ROW][C]11[/C][C]-0.189076[/C][C]-1.6805[/C][C]0.048401[/C][/ROW]
[ROW][C]12[/C][C]0.075634[/C][C]0.6723[/C][C]0.251692[/C][/ROW]
[ROW][C]13[/C][C]0.043741[/C][C]0.3888[/C][C]0.349244[/C][/ROW]
[ROW][C]14[/C][C]-0.024573[/C][C]-0.2184[/C][C]0.413836[/C][/ROW]
[ROW][C]15[/C][C]-0.054753[/C][C]-0.4867[/C][C]0.313924[/C][/ROW]
[ROW][C]16[/C][C]0.011963[/C][C]0.1063[/C][C]0.457795[/C][/ROW]
[ROW][C]17[/C][C]-0.1379[/C][C]-1.2257[/C][C]0.111979[/C][/ROW]
[ROW][C]18[/C][C]-0.071438[/C][C]-0.635[/C][C]0.263647[/C][/ROW]
[ROW][C]19[/C][C]0.113853[/C][C]1.012[/C][C]0.157325[/C][/ROW]
[ROW][C]20[/C][C]-0.070475[/C][C]-0.6264[/C][C]0.266431[/C][/ROW]
[ROW][C]21[/C][C]0.041815[/C][C]0.3717[/C][C]0.35557[/C][/ROW]
[ROW][C]22[/C][C]-0.092904[/C][C]-0.8257[/C][C]0.205716[/C][/ROW]
[ROW][C]23[/C][C]0.006251[/C][C]0.0556[/C][C]0.477916[/C][/ROW]
[ROW][C]24[/C][C]0.028507[/C][C]0.2534[/C][C]0.400318[/C][/ROW]
[ROW][C]25[/C][C]0.145362[/C][C]1.292[/C][C]0.100061[/C][/ROW]
[ROW][C]26[/C][C]-0.041394[/C][C]-0.3679[/C][C]0.356959[/C][/ROW]
[ROW][C]27[/C][C]-0.042805[/C][C]-0.3805[/C][C]0.352313[/C][/ROW]
[ROW][C]28[/C][C]-0.170548[/C][C]-1.5159[/C][C]0.066772[/C][/ROW]
[ROW][C]29[/C][C]0.041255[/C][C]0.3667[/C][C]0.357419[/C][/ROW]
[ROW][C]30[/C][C]0.080734[/C][C]0.7176[/C][C]0.237566[/C][/ROW]
[ROW][C]31[/C][C]-0.038786[/C][C]-0.3447[/C][C]0.365605[/C][/ROW]
[ROW][C]32[/C][C]0.093963[/C][C]0.8352[/C][C]0.203072[/C][/ROW]
[ROW][C]33[/C][C]0.154205[/C][C]1.3706[/C][C]0.08719[/C][/ROW]
[ROW][C]34[/C][C]0.049525[/C][C]0.4402[/C][C]0.330502[/C][/ROW]
[ROW][C]35[/C][C]0.037044[/C][C]0.3293[/C][C]0.371416[/C][/ROW]
[ROW][C]36[/C][C]0.024772[/C][C]0.2202[/C][C]0.41315[/C][/ROW]
[ROW][C]37[/C][C]-0.040621[/C][C]-0.361[/C][C]0.359514[/C][/ROW]
[ROW][C]38[/C][C]-0.032456[/C][C]-0.2885[/C][C]0.386868[/C][/ROW]
[ROW][C]39[/C][C]-0.095848[/C][C]-0.8519[/C][C]0.198419[/C][/ROW]
[ROW][C]40[/C][C]-0.011681[/C][C]-0.1038[/C][C]0.458788[/C][/ROW]
[ROW][C]41[/C][C]0.124388[/C][C]1.1056[/C][C]0.136132[/C][/ROW]
[ROW][C]42[/C][C]-0.106137[/C][C]-0.9434[/C][C]0.174186[/C][/ROW]
[ROW][C]43[/C][C]0.024453[/C][C]0.2173[/C][C]0.414252[/C][/ROW]
[ROW][C]44[/C][C]-0.058895[/C][C]-0.5235[/C][C]0.301057[/C][/ROW]
[ROW][C]45[/C][C]-0.04425[/C][C]-0.3933[/C][C]0.347576[/C][/ROW]
[ROW][C]46[/C][C]-0.016758[/C][C]-0.1489[/C][C]0.440988[/C][/ROW]
[ROW][C]47[/C][C]-0.001269[/C][C]-0.0113[/C][C]0.495515[/C][/ROW]
[ROW][C]48[/C][C]0.001142[/C][C]0.0102[/C][C]0.495962[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194194&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194194&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 kPACF(k)T-STATP-value
1-0.400271-3.55770.000318
2-0.166928-1.48370.070935
3-0.274685-2.44150.008432
4-0.189851-1.68740.047732
5-0.063115-0.5610.2882
6-0.041738-0.3710.355824
70.0252330.22430.411562
8-0.040211-0.35740.360872
90.1401391.24560.1083
100.0127730.11350.454949
11-0.189076-1.68050.048401
120.0756340.67230.251692
130.0437410.38880.349244
14-0.024573-0.21840.413836
15-0.054753-0.48670.313924
160.0119630.10630.457795
17-0.1379-1.22570.111979
18-0.071438-0.6350.263647
190.1138531.0120.157325
20-0.070475-0.62640.266431
210.0418150.37170.35557
22-0.092904-0.82570.205716
230.0062510.05560.477916
240.0285070.25340.400318
250.1453621.2920.100061
26-0.041394-0.36790.356959
27-0.042805-0.38050.352313
28-0.170548-1.51590.066772
290.0412550.36670.357419
300.0807340.71760.237566
31-0.038786-0.34470.365605
320.0939630.83520.203072
330.1542051.37060.08719
340.0495250.44020.330502
350.0370440.32930.371416
360.0247720.22020.41315
37-0.040621-0.3610.359514
38-0.032456-0.28850.386868
39-0.095848-0.85190.198419
40-0.011681-0.10380.458788
410.1243881.10560.136132
42-0.106137-0.94340.174186
430.0244530.21730.414252
44-0.058895-0.52350.301057
45-0.04425-0.39330.347576
46-0.016758-0.14890.440988
47-0.001269-0.01130.495515
480.0011420.01020.495962



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; 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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')