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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 05 Dec 2007 07:05:31 -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/2007/Dec/05/t1196862793vzggjha15h1yt07.htm/, Retrieved Thu, 02 May 2024 19:39:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2471, Retrieved Thu, 02 May 2024 19:39:06 +0000
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Original text written by user:Afzetprijzen energie workshop 4 vraag 1
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact271
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Partial Autocorre...] [2007-12-05 14:05:31] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
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Dataseries X:
108,9
108,8
108,8
108,8
108,8
108,8
108,8
108,8
108,8
108,8
108,8
108,8
108,8
108,8
109,1
113,2
112,1
112,1
116,2
118,1
119,2
119,2
119,2
120,0
121,5
123,5
123,5
128,3
126,9
122,5
119,7
122,6
123,3
123,7
121,7
121,0
121,0
121,0
121,0
129,4
130,8
130,8
129,6
129,6
134,7
131,0
126,9
130,4
130,4
131,6
131,6
131,6
131,6
128,8




Summary of compuational 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 compuational 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=2471&T=0

[TABLE]
[ROW][C]Summary of compuational 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=2471&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2471&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 compuational 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
017.28010
10.0091790.06680.473486
2-0.26418-1.92330.970087
3-0.037692-0.27440.607578
40.0308480.22460.411587
50.1036710.75470.226874
6-0.151239-1.1010.862072
7-0.048704-0.35460.63784
80.2648961.92850.02958
9-0.130678-0.95130.827127
10-0.23774-1.73080.955344
11-0.165775-1.20690.883577
120.214341.56040.062306
130.0611750.44540.328937
14-0.219197-1.59580.941758
15-0.148426-1.08060.857607
160.1370970.99810.161388
170.1235480.89940.186243
18-0.094427-0.68740.752597
19-0.059592-0.43380.666916
200.0785110.57160.285016
210.0742650.54070.295505
22-0.017547-0.12770.550583
23-0.019422-0.14140.555953
240.1835261.33610.093615
250.0576020.41930.338329
26-0.028483-0.20740.581737
27-0.100788-0.73370.766831
28-0.093262-0.6790.749941
290.1285120.93560.176866
30-0.05341-0.38880.650521
31-0.077899-0.56710.713485
320.0393440.28640.387834
33-0.023792-0.17320.568427
34-0.01468-0.10690.542353
35-0.055473-0.40380.656026
36-0.006747-0.04910.519497
370.0046920.03420.486439
38-0.057406-0.41790.661152
390.0044520.03240.487132
400.0102030.07430.470535
410.0101210.07370.470771
420.0073510.05350.47876
430.0048180.03510.486077
440.0151470.11030.456304
450.0093470.0680.473002
46-0.000152-0.00110.500439
470.0057770.04210.483306

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.2801 & 0 \tabularnewline
1 & 0.009179 & 0.0668 & 0.473486 \tabularnewline
2 & -0.26418 & -1.9233 & 0.970087 \tabularnewline
3 & -0.037692 & -0.2744 & 0.607578 \tabularnewline
4 & 0.030848 & 0.2246 & 0.411587 \tabularnewline
5 & 0.103671 & 0.7547 & 0.226874 \tabularnewline
6 & -0.151239 & -1.101 & 0.862072 \tabularnewline
7 & -0.048704 & -0.3546 & 0.63784 \tabularnewline
8 & 0.264896 & 1.9285 & 0.02958 \tabularnewline
9 & -0.130678 & -0.9513 & 0.827127 \tabularnewline
10 & -0.23774 & -1.7308 & 0.955344 \tabularnewline
11 & -0.165775 & -1.2069 & 0.883577 \tabularnewline
12 & 0.21434 & 1.5604 & 0.062306 \tabularnewline
13 & 0.061175 & 0.4454 & 0.328937 \tabularnewline
14 & -0.219197 & -1.5958 & 0.941758 \tabularnewline
15 & -0.148426 & -1.0806 & 0.857607 \tabularnewline
16 & 0.137097 & 0.9981 & 0.161388 \tabularnewline
17 & 0.123548 & 0.8994 & 0.186243 \tabularnewline
18 & -0.094427 & -0.6874 & 0.752597 \tabularnewline
19 & -0.059592 & -0.4338 & 0.666916 \tabularnewline
20 & 0.078511 & 0.5716 & 0.285016 \tabularnewline
21 & 0.074265 & 0.5407 & 0.295505 \tabularnewline
22 & -0.017547 & -0.1277 & 0.550583 \tabularnewline
23 & -0.019422 & -0.1414 & 0.555953 \tabularnewline
24 & 0.183526 & 1.3361 & 0.093615 \tabularnewline
25 & 0.057602 & 0.4193 & 0.338329 \tabularnewline
26 & -0.028483 & -0.2074 & 0.581737 \tabularnewline
27 & -0.100788 & -0.7337 & 0.766831 \tabularnewline
28 & -0.093262 & -0.679 & 0.749941 \tabularnewline
29 & 0.128512 & 0.9356 & 0.176866 \tabularnewline
30 & -0.05341 & -0.3888 & 0.650521 \tabularnewline
31 & -0.077899 & -0.5671 & 0.713485 \tabularnewline
32 & 0.039344 & 0.2864 & 0.387834 \tabularnewline
33 & -0.023792 & -0.1732 & 0.568427 \tabularnewline
34 & -0.01468 & -0.1069 & 0.542353 \tabularnewline
35 & -0.055473 & -0.4038 & 0.656026 \tabularnewline
36 & -0.006747 & -0.0491 & 0.519497 \tabularnewline
37 & 0.004692 & 0.0342 & 0.486439 \tabularnewline
38 & -0.057406 & -0.4179 & 0.661152 \tabularnewline
39 & 0.004452 & 0.0324 & 0.487132 \tabularnewline
40 & 0.010203 & 0.0743 & 0.470535 \tabularnewline
41 & 0.010121 & 0.0737 & 0.470771 \tabularnewline
42 & 0.007351 & 0.0535 & 0.47876 \tabularnewline
43 & 0.004818 & 0.0351 & 0.486077 \tabularnewline
44 & 0.015147 & 0.1103 & 0.456304 \tabularnewline
45 & 0.009347 & 0.068 & 0.473002 \tabularnewline
46 & -0.000152 & -0.0011 & 0.500439 \tabularnewline
47 & 0.005777 & 0.0421 & 0.483306 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2471&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]0[/C][C]1[/C][C]7.2801[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.009179[/C][C]0.0668[/C][C]0.473486[/C][/ROW]
[ROW][C]2[/C][C]-0.26418[/C][C]-1.9233[/C][C]0.970087[/C][/ROW]
[ROW][C]3[/C][C]-0.037692[/C][C]-0.2744[/C][C]0.607578[/C][/ROW]
[ROW][C]4[/C][C]0.030848[/C][C]0.2246[/C][C]0.411587[/C][/ROW]
[ROW][C]5[/C][C]0.103671[/C][C]0.7547[/C][C]0.226874[/C][/ROW]
[ROW][C]6[/C][C]-0.151239[/C][C]-1.101[/C][C]0.862072[/C][/ROW]
[ROW][C]7[/C][C]-0.048704[/C][C]-0.3546[/C][C]0.63784[/C][/ROW]
[ROW][C]8[/C][C]0.264896[/C][C]1.9285[/C][C]0.02958[/C][/ROW]
[ROW][C]9[/C][C]-0.130678[/C][C]-0.9513[/C][C]0.827127[/C][/ROW]
[ROW][C]10[/C][C]-0.23774[/C][C]-1.7308[/C][C]0.955344[/C][/ROW]
[ROW][C]11[/C][C]-0.165775[/C][C]-1.2069[/C][C]0.883577[/C][/ROW]
[ROW][C]12[/C][C]0.21434[/C][C]1.5604[/C][C]0.062306[/C][/ROW]
[ROW][C]13[/C][C]0.061175[/C][C]0.4454[/C][C]0.328937[/C][/ROW]
[ROW][C]14[/C][C]-0.219197[/C][C]-1.5958[/C][C]0.941758[/C][/ROW]
[ROW][C]15[/C][C]-0.148426[/C][C]-1.0806[/C][C]0.857607[/C][/ROW]
[ROW][C]16[/C][C]0.137097[/C][C]0.9981[/C][C]0.161388[/C][/ROW]
[ROW][C]17[/C][C]0.123548[/C][C]0.8994[/C][C]0.186243[/C][/ROW]
[ROW][C]18[/C][C]-0.094427[/C][C]-0.6874[/C][C]0.752597[/C][/ROW]
[ROW][C]19[/C][C]-0.059592[/C][C]-0.4338[/C][C]0.666916[/C][/ROW]
[ROW][C]20[/C][C]0.078511[/C][C]0.5716[/C][C]0.285016[/C][/ROW]
[ROW][C]21[/C][C]0.074265[/C][C]0.5407[/C][C]0.295505[/C][/ROW]
[ROW][C]22[/C][C]-0.017547[/C][C]-0.1277[/C][C]0.550583[/C][/ROW]
[ROW][C]23[/C][C]-0.019422[/C][C]-0.1414[/C][C]0.555953[/C][/ROW]
[ROW][C]24[/C][C]0.183526[/C][C]1.3361[/C][C]0.093615[/C][/ROW]
[ROW][C]25[/C][C]0.057602[/C][C]0.4193[/C][C]0.338329[/C][/ROW]
[ROW][C]26[/C][C]-0.028483[/C][C]-0.2074[/C][C]0.581737[/C][/ROW]
[ROW][C]27[/C][C]-0.100788[/C][C]-0.7337[/C][C]0.766831[/C][/ROW]
[ROW][C]28[/C][C]-0.093262[/C][C]-0.679[/C][C]0.749941[/C][/ROW]
[ROW][C]29[/C][C]0.128512[/C][C]0.9356[/C][C]0.176866[/C][/ROW]
[ROW][C]30[/C][C]-0.05341[/C][C]-0.3888[/C][C]0.650521[/C][/ROW]
[ROW][C]31[/C][C]-0.077899[/C][C]-0.5671[/C][C]0.713485[/C][/ROW]
[ROW][C]32[/C][C]0.039344[/C][C]0.2864[/C][C]0.387834[/C][/ROW]
[ROW][C]33[/C][C]-0.023792[/C][C]-0.1732[/C][C]0.568427[/C][/ROW]
[ROW][C]34[/C][C]-0.01468[/C][C]-0.1069[/C][C]0.542353[/C][/ROW]
[ROW][C]35[/C][C]-0.055473[/C][C]-0.4038[/C][C]0.656026[/C][/ROW]
[ROW][C]36[/C][C]-0.006747[/C][C]-0.0491[/C][C]0.519497[/C][/ROW]
[ROW][C]37[/C][C]0.004692[/C][C]0.0342[/C][C]0.486439[/C][/ROW]
[ROW][C]38[/C][C]-0.057406[/C][C]-0.4179[/C][C]0.661152[/C][/ROW]
[ROW][C]39[/C][C]0.004452[/C][C]0.0324[/C][C]0.487132[/C][/ROW]
[ROW][C]40[/C][C]0.010203[/C][C]0.0743[/C][C]0.470535[/C][/ROW]
[ROW][C]41[/C][C]0.010121[/C][C]0.0737[/C][C]0.470771[/C][/ROW]
[ROW][C]42[/C][C]0.007351[/C][C]0.0535[/C][C]0.47876[/C][/ROW]
[ROW][C]43[/C][C]0.004818[/C][C]0.0351[/C][C]0.486077[/C][/ROW]
[ROW][C]44[/C][C]0.015147[/C][C]0.1103[/C][C]0.456304[/C][/ROW]
[ROW][C]45[/C][C]0.009347[/C][C]0.068[/C][C]0.473002[/C][/ROW]
[ROW][C]46[/C][C]-0.000152[/C][C]-0.0011[/C][C]0.500439[/C][/ROW]
[ROW][C]47[/C][C]0.005777[/C][C]0.0421[/C][C]0.483306[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2471&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2471&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
017.28010
10.0091790.06680.473486
2-0.26418-1.92330.970087
3-0.037692-0.27440.607578
40.0308480.22460.411587
50.1036710.75470.226874
6-0.151239-1.1010.862072
7-0.048704-0.35460.63784
80.2648961.92850.02958
9-0.130678-0.95130.827127
10-0.23774-1.73080.955344
11-0.165775-1.20690.883577
120.214341.56040.062306
130.0611750.44540.328937
14-0.219197-1.59580.941758
15-0.148426-1.08060.857607
160.1370970.99810.161388
170.1235480.89940.186243
18-0.094427-0.68740.752597
19-0.059592-0.43380.666916
200.0785110.57160.285016
210.0742650.54070.295505
22-0.017547-0.12770.550583
23-0.019422-0.14140.555953
240.1835261.33610.093615
250.0576020.41930.338329
26-0.028483-0.20740.581737
27-0.100788-0.73370.766831
28-0.093262-0.6790.749941
290.1285120.93560.176866
30-0.05341-0.38880.650521
31-0.077899-0.56710.713485
320.0393440.28640.387834
33-0.023792-0.17320.568427
34-0.01468-0.10690.542353
35-0.055473-0.40380.656026
36-0.006747-0.04910.519497
370.0046920.03420.486439
38-0.057406-0.41790.661152
390.0044520.03240.487132
400.0102030.07430.470535
410.0101210.07370.470771
420.0073510.05350.47876
430.0048180.03510.486077
440.0151470.11030.456304
450.0093470.0680.473002
46-0.000152-0.00110.500439
470.0057770.04210.483306







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0091790.06680.473486
1-0.264287-1.9240.970136
2-0.034621-0.2520.599009
3-0.041396-0.30140.617843
40.0911630.66370.254886
5-0.169095-1.2310.888127
60.0068730.050.480142
70.2084821.51780.067507
8-0.179806-1.3090.901911
9-0.151119-1.10020.861884
10-0.226449-1.64860.947424
110.1546991.12620.132573
12-0.141412-1.02950.846038
13-0.102133-0.74350.769781
14-0.19963-1.45330.923986
150.0320440.23330.408219
160.0245720.17890.429353
17-0.045281-0.32970.628519
180.0158930.11570.454164
19-0.158668-1.15510.873389
200.0541070.39390.347616
21-0.008444-0.06150.524394
220.1315790.95790.171228
230.0024380.01780.492952
24-0.031823-0.23170.591158
250.1130550.82310.207082
26-0.033696-0.24530.596418
27-0.095012-0.69170.753927
28-0.032431-0.23610.592868
29-0.05639-0.41050.658461
30-0.02969-0.21610.585148
310.0177030.12890.448971
32-0.001431-0.01040.504137
33-0.043486-0.31660.623598
340.0298790.21750.414319
350.0225530.16420.435103
36-0.076738-0.55870.710627
37-0.078613-0.57230.715234
38-0.023515-0.17120.567638
390.0042410.03090.487742
40-0.089414-0.65090.741052
41-0.035774-0.26040.602234
42-0.036075-0.26260.603073
43-0.009119-0.06640.526342
44-0.021504-0.15650.561903
45-0.049074-0.35730.638842
46-0.055227-0.40210.655371
47-0.119432-0.86950.805747

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.009179 & 0.0668 & 0.473486 \tabularnewline
1 & -0.264287 & -1.924 & 0.970136 \tabularnewline
2 & -0.034621 & -0.252 & 0.599009 \tabularnewline
3 & -0.041396 & -0.3014 & 0.617843 \tabularnewline
4 & 0.091163 & 0.6637 & 0.254886 \tabularnewline
5 & -0.169095 & -1.231 & 0.888127 \tabularnewline
6 & 0.006873 & 0.05 & 0.480142 \tabularnewline
7 & 0.208482 & 1.5178 & 0.067507 \tabularnewline
8 & -0.179806 & -1.309 & 0.901911 \tabularnewline
9 & -0.151119 & -1.1002 & 0.861884 \tabularnewline
10 & -0.226449 & -1.6486 & 0.947424 \tabularnewline
11 & 0.154699 & 1.1262 & 0.132573 \tabularnewline
12 & -0.141412 & -1.0295 & 0.846038 \tabularnewline
13 & -0.102133 & -0.7435 & 0.769781 \tabularnewline
14 & -0.19963 & -1.4533 & 0.923986 \tabularnewline
15 & 0.032044 & 0.2333 & 0.408219 \tabularnewline
16 & 0.024572 & 0.1789 & 0.429353 \tabularnewline
17 & -0.045281 & -0.3297 & 0.628519 \tabularnewline
18 & 0.015893 & 0.1157 & 0.454164 \tabularnewline
19 & -0.158668 & -1.1551 & 0.873389 \tabularnewline
20 & 0.054107 & 0.3939 & 0.347616 \tabularnewline
21 & -0.008444 & -0.0615 & 0.524394 \tabularnewline
22 & 0.131579 & 0.9579 & 0.171228 \tabularnewline
23 & 0.002438 & 0.0178 & 0.492952 \tabularnewline
24 & -0.031823 & -0.2317 & 0.591158 \tabularnewline
25 & 0.113055 & 0.8231 & 0.207082 \tabularnewline
26 & -0.033696 & -0.2453 & 0.596418 \tabularnewline
27 & -0.095012 & -0.6917 & 0.753927 \tabularnewline
28 & -0.032431 & -0.2361 & 0.592868 \tabularnewline
29 & -0.05639 & -0.4105 & 0.658461 \tabularnewline
30 & -0.02969 & -0.2161 & 0.585148 \tabularnewline
31 & 0.017703 & 0.1289 & 0.448971 \tabularnewline
32 & -0.001431 & -0.0104 & 0.504137 \tabularnewline
33 & -0.043486 & -0.3166 & 0.623598 \tabularnewline
34 & 0.029879 & 0.2175 & 0.414319 \tabularnewline
35 & 0.022553 & 0.1642 & 0.435103 \tabularnewline
36 & -0.076738 & -0.5587 & 0.710627 \tabularnewline
37 & -0.078613 & -0.5723 & 0.715234 \tabularnewline
38 & -0.023515 & -0.1712 & 0.567638 \tabularnewline
39 & 0.004241 & 0.0309 & 0.487742 \tabularnewline
40 & -0.089414 & -0.6509 & 0.741052 \tabularnewline
41 & -0.035774 & -0.2604 & 0.602234 \tabularnewline
42 & -0.036075 & -0.2626 & 0.603073 \tabularnewline
43 & -0.009119 & -0.0664 & 0.526342 \tabularnewline
44 & -0.021504 & -0.1565 & 0.561903 \tabularnewline
45 & -0.049074 & -0.3573 & 0.638842 \tabularnewline
46 & -0.055227 & -0.4021 & 0.655371 \tabularnewline
47 & -0.119432 & -0.8695 & 0.805747 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2471&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]0[/C][C]0.009179[/C][C]0.0668[/C][C]0.473486[/C][/ROW]
[ROW][C]1[/C][C]-0.264287[/C][C]-1.924[/C][C]0.970136[/C][/ROW]
[ROW][C]2[/C][C]-0.034621[/C][C]-0.252[/C][C]0.599009[/C][/ROW]
[ROW][C]3[/C][C]-0.041396[/C][C]-0.3014[/C][C]0.617843[/C][/ROW]
[ROW][C]4[/C][C]0.091163[/C][C]0.6637[/C][C]0.254886[/C][/ROW]
[ROW][C]5[/C][C]-0.169095[/C][C]-1.231[/C][C]0.888127[/C][/ROW]
[ROW][C]6[/C][C]0.006873[/C][C]0.05[/C][C]0.480142[/C][/ROW]
[ROW][C]7[/C][C]0.208482[/C][C]1.5178[/C][C]0.067507[/C][/ROW]
[ROW][C]8[/C][C]-0.179806[/C][C]-1.309[/C][C]0.901911[/C][/ROW]
[ROW][C]9[/C][C]-0.151119[/C][C]-1.1002[/C][C]0.861884[/C][/ROW]
[ROW][C]10[/C][C]-0.226449[/C][C]-1.6486[/C][C]0.947424[/C][/ROW]
[ROW][C]11[/C][C]0.154699[/C][C]1.1262[/C][C]0.132573[/C][/ROW]
[ROW][C]12[/C][C]-0.141412[/C][C]-1.0295[/C][C]0.846038[/C][/ROW]
[ROW][C]13[/C][C]-0.102133[/C][C]-0.7435[/C][C]0.769781[/C][/ROW]
[ROW][C]14[/C][C]-0.19963[/C][C]-1.4533[/C][C]0.923986[/C][/ROW]
[ROW][C]15[/C][C]0.032044[/C][C]0.2333[/C][C]0.408219[/C][/ROW]
[ROW][C]16[/C][C]0.024572[/C][C]0.1789[/C][C]0.429353[/C][/ROW]
[ROW][C]17[/C][C]-0.045281[/C][C]-0.3297[/C][C]0.628519[/C][/ROW]
[ROW][C]18[/C][C]0.015893[/C][C]0.1157[/C][C]0.454164[/C][/ROW]
[ROW][C]19[/C][C]-0.158668[/C][C]-1.1551[/C][C]0.873389[/C][/ROW]
[ROW][C]20[/C][C]0.054107[/C][C]0.3939[/C][C]0.347616[/C][/ROW]
[ROW][C]21[/C][C]-0.008444[/C][C]-0.0615[/C][C]0.524394[/C][/ROW]
[ROW][C]22[/C][C]0.131579[/C][C]0.9579[/C][C]0.171228[/C][/ROW]
[ROW][C]23[/C][C]0.002438[/C][C]0.0178[/C][C]0.492952[/C][/ROW]
[ROW][C]24[/C][C]-0.031823[/C][C]-0.2317[/C][C]0.591158[/C][/ROW]
[ROW][C]25[/C][C]0.113055[/C][C]0.8231[/C][C]0.207082[/C][/ROW]
[ROW][C]26[/C][C]-0.033696[/C][C]-0.2453[/C][C]0.596418[/C][/ROW]
[ROW][C]27[/C][C]-0.095012[/C][C]-0.6917[/C][C]0.753927[/C][/ROW]
[ROW][C]28[/C][C]-0.032431[/C][C]-0.2361[/C][C]0.592868[/C][/ROW]
[ROW][C]29[/C][C]-0.05639[/C][C]-0.4105[/C][C]0.658461[/C][/ROW]
[ROW][C]30[/C][C]-0.02969[/C][C]-0.2161[/C][C]0.585148[/C][/ROW]
[ROW][C]31[/C][C]0.017703[/C][C]0.1289[/C][C]0.448971[/C][/ROW]
[ROW][C]32[/C][C]-0.001431[/C][C]-0.0104[/C][C]0.504137[/C][/ROW]
[ROW][C]33[/C][C]-0.043486[/C][C]-0.3166[/C][C]0.623598[/C][/ROW]
[ROW][C]34[/C][C]0.029879[/C][C]0.2175[/C][C]0.414319[/C][/ROW]
[ROW][C]35[/C][C]0.022553[/C][C]0.1642[/C][C]0.435103[/C][/ROW]
[ROW][C]36[/C][C]-0.076738[/C][C]-0.5587[/C][C]0.710627[/C][/ROW]
[ROW][C]37[/C][C]-0.078613[/C][C]-0.5723[/C][C]0.715234[/C][/ROW]
[ROW][C]38[/C][C]-0.023515[/C][C]-0.1712[/C][C]0.567638[/C][/ROW]
[ROW][C]39[/C][C]0.004241[/C][C]0.0309[/C][C]0.487742[/C][/ROW]
[ROW][C]40[/C][C]-0.089414[/C][C]-0.6509[/C][C]0.741052[/C][/ROW]
[ROW][C]41[/C][C]-0.035774[/C][C]-0.2604[/C][C]0.602234[/C][/ROW]
[ROW][C]42[/C][C]-0.036075[/C][C]-0.2626[/C][C]0.603073[/C][/ROW]
[ROW][C]43[/C][C]-0.009119[/C][C]-0.0664[/C][C]0.526342[/C][/ROW]
[ROW][C]44[/C][C]-0.021504[/C][C]-0.1565[/C][C]0.561903[/C][/ROW]
[ROW][C]45[/C][C]-0.049074[/C][C]-0.3573[/C][C]0.638842[/C][/ROW]
[ROW][C]46[/C][C]-0.055227[/C][C]-0.4021[/C][C]0.655371[/C][/ROW]
[ROW][C]47[/C][C]-0.119432[/C][C]-0.8695[/C][C]0.805747[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2471&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2471&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
00.0091790.06680.473486
1-0.264287-1.9240.970136
2-0.034621-0.2520.599009
3-0.041396-0.30140.617843
40.0911630.66370.254886
5-0.169095-1.2310.888127
60.0068730.050.480142
70.2084821.51780.067507
8-0.179806-1.3090.901911
9-0.151119-1.10020.861884
10-0.226449-1.64860.947424
110.1546991.12620.132573
12-0.141412-1.02950.846038
13-0.102133-0.74350.769781
14-0.19963-1.45330.923986
150.0320440.23330.408219
160.0245720.17890.429353
17-0.045281-0.32970.628519
180.0158930.11570.454164
19-0.158668-1.15510.873389
200.0541070.39390.347616
21-0.008444-0.06150.524394
220.1315790.95790.171228
230.0024380.01780.492952
24-0.031823-0.23170.591158
250.1130550.82310.207082
26-0.033696-0.24530.596418
27-0.095012-0.69170.753927
28-0.032431-0.23610.592868
29-0.05639-0.41050.658461
30-0.02969-0.21610.585148
310.0177030.12890.448971
32-0.001431-0.01040.504137
33-0.043486-0.31660.623598
340.0298790.21750.414319
350.0225530.16420.435103
36-0.076738-0.55870.710627
37-0.078613-0.57230.715234
38-0.023515-0.17120.567638
390.0042410.03090.487742
40-0.089414-0.65090.741052
41-0.035774-0.26040.602234
42-0.036075-0.26260.603073
43-0.009119-0.06640.526342
44-0.021504-0.15650.561903
45-0.049074-0.35730.638842
46-0.055227-0.40210.655371
47-0.119432-0.86950.805747



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
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 (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='lags',ylab='ACF')
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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')