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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 17 Dec 2007 13:00:54 -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/17/t1197920669xi433g2ghbunaje.htm/, Retrieved Fri, 03 May 2024 22:34:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4419, Retrieved Fri, 03 May 2024 22:34:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF - versie 2 - ...] [2007-12-17 20:00:54] [921757a21ec3444367392306fe4aab7f] [Current]
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Dataseries X:
8.4
8.4
8.6
8.7
8.7
8.6
8
8.1
8.1
8.5
8.6
8.6
8.3
8.3
8.5
9.2
9.2
9
7.4
7.3
7.4
8.6
8.7
8.7
8.5
8.4
8.6
8.4
8.4
8.2
7.7
7.6
7.7
8.1
8.2
8.3
8.1
8
8.2
7.6
7.7
7.6
6.9
6.9
7
7.4
7.4
7.5
7.4
7.4
7.8
6.6
6.6
6.2
6.1
6.2
6.3
6
6.2
6.3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4419&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]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=4419&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4419&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
1-0.000986-0.00680.502681
2-0.066025-0.45260.673557
3-0.649994-4.45610.999974
4-0.004742-0.03250.512899
50.0202340.13870.445134
60.2001781.37240.088234
7-0.043992-0.30160.617854
8-0.011184-0.07670.530396
90.2354811.61440.05657
100.0106730.07320.47099
11-0.014841-0.10170.540304
12-0.328931-2.2550.985586
13-0.009114-0.06250.524778
140.0459890.31530.37697
150.2293341.57220.061303
16-0.068359-0.46860.679256
17-0.046883-0.32140.625339
18-0.001711-0.01170.504655
190.0432610.29660.384046
200.1038960.71230.239907
21-0.156504-1.07290.855612
22-0.061042-0.41850.661251
23-0.089689-0.61490.729199
240.2626551.80070.039087
25-0.013476-0.09240.536608
260.058490.4010.345122
27-0.214441-1.47010.925905
280.0639180.43820.331625
290.0117760.08070.468
300.013090.08970.464439
31-0.084477-0.57910.717371
32-0.045404-0.31130.621515
330.1598691.0960.139329
340.0693020.47510.318455
350.0507860.34820.364632
36-0.236675-1.62260.944314
37-0.020971-0.14380.556852
38-0.006126-0.0420.516662
390.1575221.07990.142846
40-0.013297-0.09120.536122
41-0.003718-0.02550.510113
42-0.064991-0.44560.671019
430.0195060.13370.447095
440.0006240.00430.498302
450.0009050.00620.497539
468.6e-056e-040.499767
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.000986 & -0.0068 & 0.502681 \tabularnewline
2 & -0.066025 & -0.4526 & 0.673557 \tabularnewline
3 & -0.649994 & -4.4561 & 0.999974 \tabularnewline
4 & -0.004742 & -0.0325 & 0.512899 \tabularnewline
5 & 0.020234 & 0.1387 & 0.445134 \tabularnewline
6 & 0.200178 & 1.3724 & 0.088234 \tabularnewline
7 & -0.043992 & -0.3016 & 0.617854 \tabularnewline
8 & -0.011184 & -0.0767 & 0.530396 \tabularnewline
9 & 0.235481 & 1.6144 & 0.05657 \tabularnewline
10 & 0.010673 & 0.0732 & 0.47099 \tabularnewline
11 & -0.014841 & -0.1017 & 0.540304 \tabularnewline
12 & -0.328931 & -2.255 & 0.985586 \tabularnewline
13 & -0.009114 & -0.0625 & 0.524778 \tabularnewline
14 & 0.045989 & 0.3153 & 0.37697 \tabularnewline
15 & 0.229334 & 1.5722 & 0.061303 \tabularnewline
16 & -0.068359 & -0.4686 & 0.679256 \tabularnewline
17 & -0.046883 & -0.3214 & 0.625339 \tabularnewline
18 & -0.001711 & -0.0117 & 0.504655 \tabularnewline
19 & 0.043261 & 0.2966 & 0.384046 \tabularnewline
20 & 0.103896 & 0.7123 & 0.239907 \tabularnewline
21 & -0.156504 & -1.0729 & 0.855612 \tabularnewline
22 & -0.061042 & -0.4185 & 0.661251 \tabularnewline
23 & -0.089689 & -0.6149 & 0.729199 \tabularnewline
24 & 0.262655 & 1.8007 & 0.039087 \tabularnewline
25 & -0.013476 & -0.0924 & 0.536608 \tabularnewline
26 & 0.05849 & 0.401 & 0.345122 \tabularnewline
27 & -0.214441 & -1.4701 & 0.925905 \tabularnewline
28 & 0.063918 & 0.4382 & 0.331625 \tabularnewline
29 & 0.011776 & 0.0807 & 0.468 \tabularnewline
30 & 0.01309 & 0.0897 & 0.464439 \tabularnewline
31 & -0.084477 & -0.5791 & 0.717371 \tabularnewline
32 & -0.045404 & -0.3113 & 0.621515 \tabularnewline
33 & 0.159869 & 1.096 & 0.139329 \tabularnewline
34 & 0.069302 & 0.4751 & 0.318455 \tabularnewline
35 & 0.050786 & 0.3482 & 0.364632 \tabularnewline
36 & -0.236675 & -1.6226 & 0.944314 \tabularnewline
37 & -0.020971 & -0.1438 & 0.556852 \tabularnewline
38 & -0.006126 & -0.042 & 0.516662 \tabularnewline
39 & 0.157522 & 1.0799 & 0.142846 \tabularnewline
40 & -0.013297 & -0.0912 & 0.536122 \tabularnewline
41 & -0.003718 & -0.0255 & 0.510113 \tabularnewline
42 & -0.064991 & -0.4456 & 0.671019 \tabularnewline
43 & 0.019506 & 0.1337 & 0.447095 \tabularnewline
44 & 0.000624 & 0.0043 & 0.498302 \tabularnewline
45 & 0.000905 & 0.0062 & 0.497539 \tabularnewline
46 & 8.6e-05 & 6e-04 & 0.499767 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4419&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]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.000986[/C][C]-0.0068[/C][C]0.502681[/C][/ROW]
[ROW][C]2[/C][C]-0.066025[/C][C]-0.4526[/C][C]0.673557[/C][/ROW]
[ROW][C]3[/C][C]-0.649994[/C][C]-4.4561[/C][C]0.999974[/C][/ROW]
[ROW][C]4[/C][C]-0.004742[/C][C]-0.0325[/C][C]0.512899[/C][/ROW]
[ROW][C]5[/C][C]0.020234[/C][C]0.1387[/C][C]0.445134[/C][/ROW]
[ROW][C]6[/C][C]0.200178[/C][C]1.3724[/C][C]0.088234[/C][/ROW]
[ROW][C]7[/C][C]-0.043992[/C][C]-0.3016[/C][C]0.617854[/C][/ROW]
[ROW][C]8[/C][C]-0.011184[/C][C]-0.0767[/C][C]0.530396[/C][/ROW]
[ROW][C]9[/C][C]0.235481[/C][C]1.6144[/C][C]0.05657[/C][/ROW]
[ROW][C]10[/C][C]0.010673[/C][C]0.0732[/C][C]0.47099[/C][/ROW]
[ROW][C]11[/C][C]-0.014841[/C][C]-0.1017[/C][C]0.540304[/C][/ROW]
[ROW][C]12[/C][C]-0.328931[/C][C]-2.255[/C][C]0.985586[/C][/ROW]
[ROW][C]13[/C][C]-0.009114[/C][C]-0.0625[/C][C]0.524778[/C][/ROW]
[ROW][C]14[/C][C]0.045989[/C][C]0.3153[/C][C]0.37697[/C][/ROW]
[ROW][C]15[/C][C]0.229334[/C][C]1.5722[/C][C]0.061303[/C][/ROW]
[ROW][C]16[/C][C]-0.068359[/C][C]-0.4686[/C][C]0.679256[/C][/ROW]
[ROW][C]17[/C][C]-0.046883[/C][C]-0.3214[/C][C]0.625339[/C][/ROW]
[ROW][C]18[/C][C]-0.001711[/C][C]-0.0117[/C][C]0.504655[/C][/ROW]
[ROW][C]19[/C][C]0.043261[/C][C]0.2966[/C][C]0.384046[/C][/ROW]
[ROW][C]20[/C][C]0.103896[/C][C]0.7123[/C][C]0.239907[/C][/ROW]
[ROW][C]21[/C][C]-0.156504[/C][C]-1.0729[/C][C]0.855612[/C][/ROW]
[ROW][C]22[/C][C]-0.061042[/C][C]-0.4185[/C][C]0.661251[/C][/ROW]
[ROW][C]23[/C][C]-0.089689[/C][C]-0.6149[/C][C]0.729199[/C][/ROW]
[ROW][C]24[/C][C]0.262655[/C][C]1.8007[/C][C]0.039087[/C][/ROW]
[ROW][C]25[/C][C]-0.013476[/C][C]-0.0924[/C][C]0.536608[/C][/ROW]
[ROW][C]26[/C][C]0.05849[/C][C]0.401[/C][C]0.345122[/C][/ROW]
[ROW][C]27[/C][C]-0.214441[/C][C]-1.4701[/C][C]0.925905[/C][/ROW]
[ROW][C]28[/C][C]0.063918[/C][C]0.4382[/C][C]0.331625[/C][/ROW]
[ROW][C]29[/C][C]0.011776[/C][C]0.0807[/C][C]0.468[/C][/ROW]
[ROW][C]30[/C][C]0.01309[/C][C]0.0897[/C][C]0.464439[/C][/ROW]
[ROW][C]31[/C][C]-0.084477[/C][C]-0.5791[/C][C]0.717371[/C][/ROW]
[ROW][C]32[/C][C]-0.045404[/C][C]-0.3113[/C][C]0.621515[/C][/ROW]
[ROW][C]33[/C][C]0.159869[/C][C]1.096[/C][C]0.139329[/C][/ROW]
[ROW][C]34[/C][C]0.069302[/C][C]0.4751[/C][C]0.318455[/C][/ROW]
[ROW][C]35[/C][C]0.050786[/C][C]0.3482[/C][C]0.364632[/C][/ROW]
[ROW][C]36[/C][C]-0.236675[/C][C]-1.6226[/C][C]0.944314[/C][/ROW]
[ROW][C]37[/C][C]-0.020971[/C][C]-0.1438[/C][C]0.556852[/C][/ROW]
[ROW][C]38[/C][C]-0.006126[/C][C]-0.042[/C][C]0.516662[/C][/ROW]
[ROW][C]39[/C][C]0.157522[/C][C]1.0799[/C][C]0.142846[/C][/ROW]
[ROW][C]40[/C][C]-0.013297[/C][C]-0.0912[/C][C]0.536122[/C][/ROW]
[ROW][C]41[/C][C]-0.003718[/C][C]-0.0255[/C][C]0.510113[/C][/ROW]
[ROW][C]42[/C][C]-0.064991[/C][C]-0.4456[/C][C]0.671019[/C][/ROW]
[ROW][C]43[/C][C]0.019506[/C][C]0.1337[/C][C]0.447095[/C][/ROW]
[ROW][C]44[/C][C]0.000624[/C][C]0.0043[/C][C]0.498302[/C][/ROW]
[ROW][C]45[/C][C]0.000905[/C][C]0.0062[/C][C]0.497539[/C][/ROW]
[ROW][C]46[/C][C]8.6e-05[/C][C]6e-04[/C][C]0.499767[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4419&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4419&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
016.85570
1-0.000986-0.00680.502681
2-0.066025-0.45260.673557
3-0.649994-4.45610.999974
4-0.004742-0.03250.512899
50.0202340.13870.445134
60.2001781.37240.088234
7-0.043992-0.30160.617854
8-0.011184-0.07670.530396
90.2354811.61440.05657
100.0106730.07320.47099
11-0.014841-0.10170.540304
12-0.328931-2.2550.985586
13-0.009114-0.06250.524778
140.0459890.31530.37697
150.2293341.57220.061303
16-0.068359-0.46860.679256
17-0.046883-0.32140.625339
18-0.001711-0.01170.504655
190.0432610.29660.384046
200.1038960.71230.239907
21-0.156504-1.07290.855612
22-0.061042-0.41850.661251
23-0.089689-0.61490.729199
240.2626551.80070.039087
25-0.013476-0.09240.536608
260.058490.4010.345122
27-0.214441-1.47010.925905
280.0639180.43820.331625
290.0117760.08070.468
300.013090.08970.464439
31-0.084477-0.57910.717371
32-0.045404-0.31130.621515
330.1598691.0960.139329
340.0693020.47510.318455
350.0507860.34820.364632
36-0.236675-1.62260.944314
37-0.020971-0.14380.556852
38-0.006126-0.0420.516662
390.1575221.07990.142846
40-0.013297-0.09120.536122
41-0.003718-0.02550.510113
42-0.064991-0.44560.671019
430.0195060.13370.447095
440.0006240.00430.498302
450.0009050.00620.497539
468.6e-056e-040.499767
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.000986-0.00680.502681
1-0.066026-0.45270.673559
2-0.652976-4.47660.999976
3-0.067406-0.46210.676934
4-0.122854-0.84220.798042
5-0.421342-2.88860.997082
6-0.257742-1.7670.958138
7-0.295046-2.02270.975595
80.1730971.18670.120656
9-0.184911-1.26770.894423
10-0.110781-0.75950.774319
110.0766560.52550.300843
12-0.068048-0.46650.678499
130.083520.57260.284827
14-0.005255-0.0360.514292
15-0.0912-0.62520.732581
160.0090710.06220.475337
170.0112870.07740.469324
18-0.103944-0.71260.760194
190.1303560.89370.188024
20-0.036186-0.24810.597423
21-0.060101-0.4120.658906
220.0013250.00910.496396
230.1628241.11630.134992
240.0172280.11810.453243
250.0170530.11690.453715
260.0783520.53720.296848
270.1455790.9980.161685
280.0523070.35860.36075
29-0.159242-1.09170.859737
300.0479590.32880.371888
31-0.073659-0.5050.692034
32-0.085621-0.5870.71999
33-0.026328-0.18050.571231
34-0.117786-0.80750.788278
35-0.007424-0.05090.520188
36-0.062239-0.42670.664224
37-0.072414-0.49640.689053
380.0285530.19580.422824
390.0098420.06750.473246
400.0710490.48710.314231
41-0.085395-0.58540.719473
42-0.032771-0.22470.588395
43-0.052396-0.35920.639475
440.0097110.06660.473602
45-0.057485-0.39410.652354
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.000986 & -0.0068 & 0.502681 \tabularnewline
1 & -0.066026 & -0.4527 & 0.673559 \tabularnewline
2 & -0.652976 & -4.4766 & 0.999976 \tabularnewline
3 & -0.067406 & -0.4621 & 0.676934 \tabularnewline
4 & -0.122854 & -0.8422 & 0.798042 \tabularnewline
5 & -0.421342 & -2.8886 & 0.997082 \tabularnewline
6 & -0.257742 & -1.767 & 0.958138 \tabularnewline
7 & -0.295046 & -2.0227 & 0.975595 \tabularnewline
8 & 0.173097 & 1.1867 & 0.120656 \tabularnewline
9 & -0.184911 & -1.2677 & 0.894423 \tabularnewline
10 & -0.110781 & -0.7595 & 0.774319 \tabularnewline
11 & 0.076656 & 0.5255 & 0.300843 \tabularnewline
12 & -0.068048 & -0.4665 & 0.678499 \tabularnewline
13 & 0.08352 & 0.5726 & 0.284827 \tabularnewline
14 & -0.005255 & -0.036 & 0.514292 \tabularnewline
15 & -0.0912 & -0.6252 & 0.732581 \tabularnewline
16 & 0.009071 & 0.0622 & 0.475337 \tabularnewline
17 & 0.011287 & 0.0774 & 0.469324 \tabularnewline
18 & -0.103944 & -0.7126 & 0.760194 \tabularnewline
19 & 0.130356 & 0.8937 & 0.188024 \tabularnewline
20 & -0.036186 & -0.2481 & 0.597423 \tabularnewline
21 & -0.060101 & -0.412 & 0.658906 \tabularnewline
22 & 0.001325 & 0.0091 & 0.496396 \tabularnewline
23 & 0.162824 & 1.1163 & 0.134992 \tabularnewline
24 & 0.017228 & 0.1181 & 0.453243 \tabularnewline
25 & 0.017053 & 0.1169 & 0.453715 \tabularnewline
26 & 0.078352 & 0.5372 & 0.296848 \tabularnewline
27 & 0.145579 & 0.998 & 0.161685 \tabularnewline
28 & 0.052307 & 0.3586 & 0.36075 \tabularnewline
29 & -0.159242 & -1.0917 & 0.859737 \tabularnewline
30 & 0.047959 & 0.3288 & 0.371888 \tabularnewline
31 & -0.073659 & -0.505 & 0.692034 \tabularnewline
32 & -0.085621 & -0.587 & 0.71999 \tabularnewline
33 & -0.026328 & -0.1805 & 0.571231 \tabularnewline
34 & -0.117786 & -0.8075 & 0.788278 \tabularnewline
35 & -0.007424 & -0.0509 & 0.520188 \tabularnewline
36 & -0.062239 & -0.4267 & 0.664224 \tabularnewline
37 & -0.072414 & -0.4964 & 0.689053 \tabularnewline
38 & 0.028553 & 0.1958 & 0.422824 \tabularnewline
39 & 0.009842 & 0.0675 & 0.473246 \tabularnewline
40 & 0.071049 & 0.4871 & 0.314231 \tabularnewline
41 & -0.085395 & -0.5854 & 0.719473 \tabularnewline
42 & -0.032771 & -0.2247 & 0.588395 \tabularnewline
43 & -0.052396 & -0.3592 & 0.639475 \tabularnewline
44 & 0.009711 & 0.0666 & 0.473602 \tabularnewline
45 & -0.057485 & -0.3941 & 0.652354 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4419&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]-0.000986[/C][C]-0.0068[/C][C]0.502681[/C][/ROW]
[ROW][C]1[/C][C]-0.066026[/C][C]-0.4527[/C][C]0.673559[/C][/ROW]
[ROW][C]2[/C][C]-0.652976[/C][C]-4.4766[/C][C]0.999976[/C][/ROW]
[ROW][C]3[/C][C]-0.067406[/C][C]-0.4621[/C][C]0.676934[/C][/ROW]
[ROW][C]4[/C][C]-0.122854[/C][C]-0.8422[/C][C]0.798042[/C][/ROW]
[ROW][C]5[/C][C]-0.421342[/C][C]-2.8886[/C][C]0.997082[/C][/ROW]
[ROW][C]6[/C][C]-0.257742[/C][C]-1.767[/C][C]0.958138[/C][/ROW]
[ROW][C]7[/C][C]-0.295046[/C][C]-2.0227[/C][C]0.975595[/C][/ROW]
[ROW][C]8[/C][C]0.173097[/C][C]1.1867[/C][C]0.120656[/C][/ROW]
[ROW][C]9[/C][C]-0.184911[/C][C]-1.2677[/C][C]0.894423[/C][/ROW]
[ROW][C]10[/C][C]-0.110781[/C][C]-0.7595[/C][C]0.774319[/C][/ROW]
[ROW][C]11[/C][C]0.076656[/C][C]0.5255[/C][C]0.300843[/C][/ROW]
[ROW][C]12[/C][C]-0.068048[/C][C]-0.4665[/C][C]0.678499[/C][/ROW]
[ROW][C]13[/C][C]0.08352[/C][C]0.5726[/C][C]0.284827[/C][/ROW]
[ROW][C]14[/C][C]-0.005255[/C][C]-0.036[/C][C]0.514292[/C][/ROW]
[ROW][C]15[/C][C]-0.0912[/C][C]-0.6252[/C][C]0.732581[/C][/ROW]
[ROW][C]16[/C][C]0.009071[/C][C]0.0622[/C][C]0.475337[/C][/ROW]
[ROW][C]17[/C][C]0.011287[/C][C]0.0774[/C][C]0.469324[/C][/ROW]
[ROW][C]18[/C][C]-0.103944[/C][C]-0.7126[/C][C]0.760194[/C][/ROW]
[ROW][C]19[/C][C]0.130356[/C][C]0.8937[/C][C]0.188024[/C][/ROW]
[ROW][C]20[/C][C]-0.036186[/C][C]-0.2481[/C][C]0.597423[/C][/ROW]
[ROW][C]21[/C][C]-0.060101[/C][C]-0.412[/C][C]0.658906[/C][/ROW]
[ROW][C]22[/C][C]0.001325[/C][C]0.0091[/C][C]0.496396[/C][/ROW]
[ROW][C]23[/C][C]0.162824[/C][C]1.1163[/C][C]0.134992[/C][/ROW]
[ROW][C]24[/C][C]0.017228[/C][C]0.1181[/C][C]0.453243[/C][/ROW]
[ROW][C]25[/C][C]0.017053[/C][C]0.1169[/C][C]0.453715[/C][/ROW]
[ROW][C]26[/C][C]0.078352[/C][C]0.5372[/C][C]0.296848[/C][/ROW]
[ROW][C]27[/C][C]0.145579[/C][C]0.998[/C][C]0.161685[/C][/ROW]
[ROW][C]28[/C][C]0.052307[/C][C]0.3586[/C][C]0.36075[/C][/ROW]
[ROW][C]29[/C][C]-0.159242[/C][C]-1.0917[/C][C]0.859737[/C][/ROW]
[ROW][C]30[/C][C]0.047959[/C][C]0.3288[/C][C]0.371888[/C][/ROW]
[ROW][C]31[/C][C]-0.073659[/C][C]-0.505[/C][C]0.692034[/C][/ROW]
[ROW][C]32[/C][C]-0.085621[/C][C]-0.587[/C][C]0.71999[/C][/ROW]
[ROW][C]33[/C][C]-0.026328[/C][C]-0.1805[/C][C]0.571231[/C][/ROW]
[ROW][C]34[/C][C]-0.117786[/C][C]-0.8075[/C][C]0.788278[/C][/ROW]
[ROW][C]35[/C][C]-0.007424[/C][C]-0.0509[/C][C]0.520188[/C][/ROW]
[ROW][C]36[/C][C]-0.062239[/C][C]-0.4267[/C][C]0.664224[/C][/ROW]
[ROW][C]37[/C][C]-0.072414[/C][C]-0.4964[/C][C]0.689053[/C][/ROW]
[ROW][C]38[/C][C]0.028553[/C][C]0.1958[/C][C]0.422824[/C][/ROW]
[ROW][C]39[/C][C]0.009842[/C][C]0.0675[/C][C]0.473246[/C][/ROW]
[ROW][C]40[/C][C]0.071049[/C][C]0.4871[/C][C]0.314231[/C][/ROW]
[ROW][C]41[/C][C]-0.085395[/C][C]-0.5854[/C][C]0.719473[/C][/ROW]
[ROW][C]42[/C][C]-0.032771[/C][C]-0.2247[/C][C]0.588395[/C][/ROW]
[ROW][C]43[/C][C]-0.052396[/C][C]-0.3592[/C][C]0.639475[/C][/ROW]
[ROW][C]44[/C][C]0.009711[/C][C]0.0666[/C][C]0.473602[/C][/ROW]
[ROW][C]45[/C][C]-0.057485[/C][C]-0.3941[/C][C]0.652354[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4419&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4419&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
0-0.000986-0.00680.502681
1-0.066026-0.45270.673559
2-0.652976-4.47660.999976
3-0.067406-0.46210.676934
4-0.122854-0.84220.798042
5-0.421342-2.88860.997082
6-0.257742-1.7670.958138
7-0.295046-2.02270.975595
80.1730971.18670.120656
9-0.184911-1.26770.894423
10-0.110781-0.75950.774319
110.0766560.52550.300843
12-0.068048-0.46650.678499
130.083520.57260.284827
14-0.005255-0.0360.514292
15-0.0912-0.62520.732581
160.0090710.06220.475337
170.0112870.07740.469324
18-0.103944-0.71260.760194
190.1303560.89370.188024
20-0.036186-0.24810.597423
21-0.060101-0.4120.658906
220.0013250.00910.496396
230.1628241.11630.134992
240.0172280.11810.453243
250.0170530.11690.453715
260.0783520.53720.296848
270.1455790.9980.161685
280.0523070.35860.36075
29-0.159242-1.09170.859737
300.0479590.32880.371888
31-0.073659-0.5050.692034
32-0.085621-0.5870.71999
33-0.026328-0.18050.571231
34-0.117786-0.80750.788278
35-0.007424-0.05090.520188
36-0.062239-0.42670.664224
37-0.072414-0.49640.689053
380.0285530.19580.422824
390.0098420.06750.473246
400.0710490.48710.314231
41-0.085395-0.58540.719473
42-0.032771-0.22470.588395
43-0.052396-0.35920.639475
440.0097110.06660.473602
45-0.057485-0.39410.652354
46NANANA
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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')