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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 02 Jun 2009 12:57:00 -0600
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/Jun/02/t12439691458uu61ohoaqn6wnk.htm/, Retrieved Fri, 10 May 2024 12:45:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41377, Retrieved Fri, 10 May 2024 12:45:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Ben Eysackers, op...] [2009-06-02 18:57:00] [2b08e9b5345c911f5a04c663d4ad43d5] [Current]
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Dataseries X:
-46
-33
-34
-25
-33
-18
-26
-21
-23
-24
-26
-32
-47
-45
-47
-43
-48
-48
-43
-44
-46
-36
-32
-18
-31
-37
-32
-29
-29
-40
-26
-29
-19
-30
-12
-24
-40
-43
-49
-49
-48
-33
-46
-46
-43
-44
-38
-38
-39
-47
-41
-36
-38
-11
-24
-30
-18
-21
-22
-15
-15
-16
-26
-39
-28
-25
-25
-13
-20
-13
-10
-19
-31
-36
-26
-33
-42
-44
-45
-42
-60
-42
-63
-71




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41377&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41377&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41377&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6731816.16980
20.5450954.99592e-06
30.441644.04775.7e-05
40.2979932.73120.003845
50.1902961.74410.042401
60.0984030.90190.18485
70.0358130.32820.371776
8-0.067275-0.61660.269588
9-0.118423-1.08540.140432
10-0.161359-1.47890.071457
11-0.183326-1.68020.048316
12-0.201051-1.84270.034453
13-0.236215-2.16490.016614
14-0.229799-2.10610.019088
15-0.288703-2.6460.004861
16-0.271521-2.48850.007401
17-0.235146-2.15510.017006
18-0.218617-2.00370.024165
19-0.194454-1.78220.039165
20-0.196549-1.80140.037614
21-0.210518-1.92940.028527
22-0.217014-1.9890.02498
23-0.145053-1.32940.093652
24-0.086805-0.79560.214259
250.0055930.05130.479618
260.0027770.02540.489878
27-0.009319-0.08540.466069
280.0011030.01010.495979
29-0.025892-0.23730.406499
30-0.006179-0.05660.477488
310.0406590.37260.355175
320.0302610.27730.391099
330.0949070.86980.193433
340.0842160.77190.221183
350.0954710.8750.192032
360.1090770.99970.160161
370.1058430.97010.167399
380.1070150.98080.164751
390.0385070.35290.362516
400.0226650.20770.417971
41-0.048987-0.4490.327302
42-0.041527-0.38060.35223
430.0118020.10820.457059
44-0.000298-0.00270.498913
45-0.040318-0.36950.356334
46-0.056971-0.52220.30147
47-0.059997-0.54990.291929
48-0.118274-1.0840.140733

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.673181 & 6.1698 & 0 \tabularnewline
2 & 0.545095 & 4.9959 & 2e-06 \tabularnewline
3 & 0.44164 & 4.0477 & 5.7e-05 \tabularnewline
4 & 0.297993 & 2.7312 & 0.003845 \tabularnewline
5 & 0.190296 & 1.7441 & 0.042401 \tabularnewline
6 & 0.098403 & 0.9019 & 0.18485 \tabularnewline
7 & 0.035813 & 0.3282 & 0.371776 \tabularnewline
8 & -0.067275 & -0.6166 & 0.269588 \tabularnewline
9 & -0.118423 & -1.0854 & 0.140432 \tabularnewline
10 & -0.161359 & -1.4789 & 0.071457 \tabularnewline
11 & -0.183326 & -1.6802 & 0.048316 \tabularnewline
12 & -0.201051 & -1.8427 & 0.034453 \tabularnewline
13 & -0.236215 & -2.1649 & 0.016614 \tabularnewline
14 & -0.229799 & -2.1061 & 0.019088 \tabularnewline
15 & -0.288703 & -2.646 & 0.004861 \tabularnewline
16 & -0.271521 & -2.4885 & 0.007401 \tabularnewline
17 & -0.235146 & -2.1551 & 0.017006 \tabularnewline
18 & -0.218617 & -2.0037 & 0.024165 \tabularnewline
19 & -0.194454 & -1.7822 & 0.039165 \tabularnewline
20 & -0.196549 & -1.8014 & 0.037614 \tabularnewline
21 & -0.210518 & -1.9294 & 0.028527 \tabularnewline
22 & -0.217014 & -1.989 & 0.02498 \tabularnewline
23 & -0.145053 & -1.3294 & 0.093652 \tabularnewline
24 & -0.086805 & -0.7956 & 0.214259 \tabularnewline
25 & 0.005593 & 0.0513 & 0.479618 \tabularnewline
26 & 0.002777 & 0.0254 & 0.489878 \tabularnewline
27 & -0.009319 & -0.0854 & 0.466069 \tabularnewline
28 & 0.001103 & 0.0101 & 0.495979 \tabularnewline
29 & -0.025892 & -0.2373 & 0.406499 \tabularnewline
30 & -0.006179 & -0.0566 & 0.477488 \tabularnewline
31 & 0.040659 & 0.3726 & 0.355175 \tabularnewline
32 & 0.030261 & 0.2773 & 0.391099 \tabularnewline
33 & 0.094907 & 0.8698 & 0.193433 \tabularnewline
34 & 0.084216 & 0.7719 & 0.221183 \tabularnewline
35 & 0.095471 & 0.875 & 0.192032 \tabularnewline
36 & 0.109077 & 0.9997 & 0.160161 \tabularnewline
37 & 0.105843 & 0.9701 & 0.167399 \tabularnewline
38 & 0.107015 & 0.9808 & 0.164751 \tabularnewline
39 & 0.038507 & 0.3529 & 0.362516 \tabularnewline
40 & 0.022665 & 0.2077 & 0.417971 \tabularnewline
41 & -0.048987 & -0.449 & 0.327302 \tabularnewline
42 & -0.041527 & -0.3806 & 0.35223 \tabularnewline
43 & 0.011802 & 0.1082 & 0.457059 \tabularnewline
44 & -0.000298 & -0.0027 & 0.498913 \tabularnewline
45 & -0.040318 & -0.3695 & 0.356334 \tabularnewline
46 & -0.056971 & -0.5222 & 0.30147 \tabularnewline
47 & -0.059997 & -0.5499 & 0.291929 \tabularnewline
48 & -0.118274 & -1.084 & 0.140733 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41377&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]0.673181[/C][C]6.1698[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.545095[/C][C]4.9959[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.44164[/C][C]4.0477[/C][C]5.7e-05[/C][/ROW]
[ROW][C]4[/C][C]0.297993[/C][C]2.7312[/C][C]0.003845[/C][/ROW]
[ROW][C]5[/C][C]0.190296[/C][C]1.7441[/C][C]0.042401[/C][/ROW]
[ROW][C]6[/C][C]0.098403[/C][C]0.9019[/C][C]0.18485[/C][/ROW]
[ROW][C]7[/C][C]0.035813[/C][C]0.3282[/C][C]0.371776[/C][/ROW]
[ROW][C]8[/C][C]-0.067275[/C][C]-0.6166[/C][C]0.269588[/C][/ROW]
[ROW][C]9[/C][C]-0.118423[/C][C]-1.0854[/C][C]0.140432[/C][/ROW]
[ROW][C]10[/C][C]-0.161359[/C][C]-1.4789[/C][C]0.071457[/C][/ROW]
[ROW][C]11[/C][C]-0.183326[/C][C]-1.6802[/C][C]0.048316[/C][/ROW]
[ROW][C]12[/C][C]-0.201051[/C][C]-1.8427[/C][C]0.034453[/C][/ROW]
[ROW][C]13[/C][C]-0.236215[/C][C]-2.1649[/C][C]0.016614[/C][/ROW]
[ROW][C]14[/C][C]-0.229799[/C][C]-2.1061[/C][C]0.019088[/C][/ROW]
[ROW][C]15[/C][C]-0.288703[/C][C]-2.646[/C][C]0.004861[/C][/ROW]
[ROW][C]16[/C][C]-0.271521[/C][C]-2.4885[/C][C]0.007401[/C][/ROW]
[ROW][C]17[/C][C]-0.235146[/C][C]-2.1551[/C][C]0.017006[/C][/ROW]
[ROW][C]18[/C][C]-0.218617[/C][C]-2.0037[/C][C]0.024165[/C][/ROW]
[ROW][C]19[/C][C]-0.194454[/C][C]-1.7822[/C][C]0.039165[/C][/ROW]
[ROW][C]20[/C][C]-0.196549[/C][C]-1.8014[/C][C]0.037614[/C][/ROW]
[ROW][C]21[/C][C]-0.210518[/C][C]-1.9294[/C][C]0.028527[/C][/ROW]
[ROW][C]22[/C][C]-0.217014[/C][C]-1.989[/C][C]0.02498[/C][/ROW]
[ROW][C]23[/C][C]-0.145053[/C][C]-1.3294[/C][C]0.093652[/C][/ROW]
[ROW][C]24[/C][C]-0.086805[/C][C]-0.7956[/C][C]0.214259[/C][/ROW]
[ROW][C]25[/C][C]0.005593[/C][C]0.0513[/C][C]0.479618[/C][/ROW]
[ROW][C]26[/C][C]0.002777[/C][C]0.0254[/C][C]0.489878[/C][/ROW]
[ROW][C]27[/C][C]-0.009319[/C][C]-0.0854[/C][C]0.466069[/C][/ROW]
[ROW][C]28[/C][C]0.001103[/C][C]0.0101[/C][C]0.495979[/C][/ROW]
[ROW][C]29[/C][C]-0.025892[/C][C]-0.2373[/C][C]0.406499[/C][/ROW]
[ROW][C]30[/C][C]-0.006179[/C][C]-0.0566[/C][C]0.477488[/C][/ROW]
[ROW][C]31[/C][C]0.040659[/C][C]0.3726[/C][C]0.355175[/C][/ROW]
[ROW][C]32[/C][C]0.030261[/C][C]0.2773[/C][C]0.391099[/C][/ROW]
[ROW][C]33[/C][C]0.094907[/C][C]0.8698[/C][C]0.193433[/C][/ROW]
[ROW][C]34[/C][C]0.084216[/C][C]0.7719[/C][C]0.221183[/C][/ROW]
[ROW][C]35[/C][C]0.095471[/C][C]0.875[/C][C]0.192032[/C][/ROW]
[ROW][C]36[/C][C]0.109077[/C][C]0.9997[/C][C]0.160161[/C][/ROW]
[ROW][C]37[/C][C]0.105843[/C][C]0.9701[/C][C]0.167399[/C][/ROW]
[ROW][C]38[/C][C]0.107015[/C][C]0.9808[/C][C]0.164751[/C][/ROW]
[ROW][C]39[/C][C]0.038507[/C][C]0.3529[/C][C]0.362516[/C][/ROW]
[ROW][C]40[/C][C]0.022665[/C][C]0.2077[/C][C]0.417971[/C][/ROW]
[ROW][C]41[/C][C]-0.048987[/C][C]-0.449[/C][C]0.327302[/C][/ROW]
[ROW][C]42[/C][C]-0.041527[/C][C]-0.3806[/C][C]0.35223[/C][/ROW]
[ROW][C]43[/C][C]0.011802[/C][C]0.1082[/C][C]0.457059[/C][/ROW]
[ROW][C]44[/C][C]-0.000298[/C][C]-0.0027[/C][C]0.498913[/C][/ROW]
[ROW][C]45[/C][C]-0.040318[/C][C]-0.3695[/C][C]0.356334[/C][/ROW]
[ROW][C]46[/C][C]-0.056971[/C][C]-0.5222[/C][C]0.30147[/C][/ROW]
[ROW][C]47[/C][C]-0.059997[/C][C]-0.5499[/C][C]0.291929[/C][/ROW]
[ROW][C]48[/C][C]-0.118274[/C][C]-1.084[/C][C]0.140733[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41377&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41377&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
10.6731816.16980
20.5450954.99592e-06
30.441644.04775.7e-05
40.2979932.73120.003845
50.1902961.74410.042401
60.0984030.90190.18485
70.0358130.32820.371776
8-0.067275-0.61660.269588
9-0.118423-1.08540.140432
10-0.161359-1.47890.071457
11-0.183326-1.68020.048316
12-0.201051-1.84270.034453
13-0.236215-2.16490.016614
14-0.229799-2.10610.019088
15-0.288703-2.6460.004861
16-0.271521-2.48850.007401
17-0.235146-2.15510.017006
18-0.218617-2.00370.024165
19-0.194454-1.78220.039165
20-0.196549-1.80140.037614
21-0.210518-1.92940.028527
22-0.217014-1.9890.02498
23-0.145053-1.32940.093652
24-0.086805-0.79560.214259
250.0055930.05130.479618
260.0027770.02540.489878
27-0.009319-0.08540.466069
280.0011030.01010.495979
29-0.025892-0.23730.406499
30-0.006179-0.05660.477488
310.0406590.37260.355175
320.0302610.27730.391099
330.0949070.86980.193433
340.0842160.77190.221183
350.0954710.8750.192032
360.1090770.99970.160161
370.1058430.97010.167399
380.1070150.98080.164751
390.0385070.35290.362516
400.0226650.20770.417971
41-0.048987-0.4490.327302
42-0.041527-0.38060.35223
430.0118020.10820.457059
44-0.000298-0.00270.498913
45-0.040318-0.36950.356334
46-0.056971-0.52220.30147
47-0.059997-0.54990.291929
48-0.118274-1.0840.140733







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6731816.16980
20.1681021.54070.063577
30.0436860.40040.344944
4-0.101429-0.92960.177618
5-0.060348-0.55310.290832
6-0.049837-0.45680.324508
7-0.009774-0.08960.464416
8-0.119451-1.09480.138369
9-0.037133-0.34030.36723
10-0.042709-0.39140.348234
11-0.007651-0.07010.472131
12-0.036822-0.33750.3683
13-0.085751-0.78590.217062
14-0.019842-0.18190.428068
15-0.144223-1.32180.094907
16-0.001957-0.01790.492867
170.0190160.17430.431031
18-0.021679-0.19870.421493
19-0.039303-0.36020.359793
20-0.087261-0.79980.213053
21-0.112158-1.02790.153463
22-0.067903-0.62230.267702
230.0711580.65220.258033
240.0444270.40720.342456
250.1009040.92480.178858
26-0.123095-1.12820.131227
27-0.110591-1.01360.156846
28-0.064663-0.59260.277507
29-0.071341-0.65390.257496
30-0.001314-0.0120.49521
310.0709640.65040.258606
32-0.045995-0.42160.337215
330.1184481.08560.140382
34-0.071485-0.65520.257075
35-0.027683-0.25370.400165
36-0.032941-0.30190.381734
37-0.053957-0.49450.311113
380.0231570.21220.416219
39-0.10852-0.99460.161393
400.0178250.16340.435312
41-0.117049-1.07280.143224
420.000520.00480.498104
430.0954180.87450.192164
44-0.040774-0.37370.354785
45-0.120274-1.10230.136733
460.0091610.0840.466645
47-0.01809-0.16580.434358
48-0.112307-1.02930.153145

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.673181 & 6.1698 & 0 \tabularnewline
2 & 0.168102 & 1.5407 & 0.063577 \tabularnewline
3 & 0.043686 & 0.4004 & 0.344944 \tabularnewline
4 & -0.101429 & -0.9296 & 0.177618 \tabularnewline
5 & -0.060348 & -0.5531 & 0.290832 \tabularnewline
6 & -0.049837 & -0.4568 & 0.324508 \tabularnewline
7 & -0.009774 & -0.0896 & 0.464416 \tabularnewline
8 & -0.119451 & -1.0948 & 0.138369 \tabularnewline
9 & -0.037133 & -0.3403 & 0.36723 \tabularnewline
10 & -0.042709 & -0.3914 & 0.348234 \tabularnewline
11 & -0.007651 & -0.0701 & 0.472131 \tabularnewline
12 & -0.036822 & -0.3375 & 0.3683 \tabularnewline
13 & -0.085751 & -0.7859 & 0.217062 \tabularnewline
14 & -0.019842 & -0.1819 & 0.428068 \tabularnewline
15 & -0.144223 & -1.3218 & 0.094907 \tabularnewline
16 & -0.001957 & -0.0179 & 0.492867 \tabularnewline
17 & 0.019016 & 0.1743 & 0.431031 \tabularnewline
18 & -0.021679 & -0.1987 & 0.421493 \tabularnewline
19 & -0.039303 & -0.3602 & 0.359793 \tabularnewline
20 & -0.087261 & -0.7998 & 0.213053 \tabularnewline
21 & -0.112158 & -1.0279 & 0.153463 \tabularnewline
22 & -0.067903 & -0.6223 & 0.267702 \tabularnewline
23 & 0.071158 & 0.6522 & 0.258033 \tabularnewline
24 & 0.044427 & 0.4072 & 0.342456 \tabularnewline
25 & 0.100904 & 0.9248 & 0.178858 \tabularnewline
26 & -0.123095 & -1.1282 & 0.131227 \tabularnewline
27 & -0.110591 & -1.0136 & 0.156846 \tabularnewline
28 & -0.064663 & -0.5926 & 0.277507 \tabularnewline
29 & -0.071341 & -0.6539 & 0.257496 \tabularnewline
30 & -0.001314 & -0.012 & 0.49521 \tabularnewline
31 & 0.070964 & 0.6504 & 0.258606 \tabularnewline
32 & -0.045995 & -0.4216 & 0.337215 \tabularnewline
33 & 0.118448 & 1.0856 & 0.140382 \tabularnewline
34 & -0.071485 & -0.6552 & 0.257075 \tabularnewline
35 & -0.027683 & -0.2537 & 0.400165 \tabularnewline
36 & -0.032941 & -0.3019 & 0.381734 \tabularnewline
37 & -0.053957 & -0.4945 & 0.311113 \tabularnewline
38 & 0.023157 & 0.2122 & 0.416219 \tabularnewline
39 & -0.10852 & -0.9946 & 0.161393 \tabularnewline
40 & 0.017825 & 0.1634 & 0.435312 \tabularnewline
41 & -0.117049 & -1.0728 & 0.143224 \tabularnewline
42 & 0.00052 & 0.0048 & 0.498104 \tabularnewline
43 & 0.095418 & 0.8745 & 0.192164 \tabularnewline
44 & -0.040774 & -0.3737 & 0.354785 \tabularnewline
45 & -0.120274 & -1.1023 & 0.136733 \tabularnewline
46 & 0.009161 & 0.084 & 0.466645 \tabularnewline
47 & -0.01809 & -0.1658 & 0.434358 \tabularnewline
48 & -0.112307 & -1.0293 & 0.153145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41377&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]0.673181[/C][C]6.1698[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.168102[/C][C]1.5407[/C][C]0.063577[/C][/ROW]
[ROW][C]3[/C][C]0.043686[/C][C]0.4004[/C][C]0.344944[/C][/ROW]
[ROW][C]4[/C][C]-0.101429[/C][C]-0.9296[/C][C]0.177618[/C][/ROW]
[ROW][C]5[/C][C]-0.060348[/C][C]-0.5531[/C][C]0.290832[/C][/ROW]
[ROW][C]6[/C][C]-0.049837[/C][C]-0.4568[/C][C]0.324508[/C][/ROW]
[ROW][C]7[/C][C]-0.009774[/C][C]-0.0896[/C][C]0.464416[/C][/ROW]
[ROW][C]8[/C][C]-0.119451[/C][C]-1.0948[/C][C]0.138369[/C][/ROW]
[ROW][C]9[/C][C]-0.037133[/C][C]-0.3403[/C][C]0.36723[/C][/ROW]
[ROW][C]10[/C][C]-0.042709[/C][C]-0.3914[/C][C]0.348234[/C][/ROW]
[ROW][C]11[/C][C]-0.007651[/C][C]-0.0701[/C][C]0.472131[/C][/ROW]
[ROW][C]12[/C][C]-0.036822[/C][C]-0.3375[/C][C]0.3683[/C][/ROW]
[ROW][C]13[/C][C]-0.085751[/C][C]-0.7859[/C][C]0.217062[/C][/ROW]
[ROW][C]14[/C][C]-0.019842[/C][C]-0.1819[/C][C]0.428068[/C][/ROW]
[ROW][C]15[/C][C]-0.144223[/C][C]-1.3218[/C][C]0.094907[/C][/ROW]
[ROW][C]16[/C][C]-0.001957[/C][C]-0.0179[/C][C]0.492867[/C][/ROW]
[ROW][C]17[/C][C]0.019016[/C][C]0.1743[/C][C]0.431031[/C][/ROW]
[ROW][C]18[/C][C]-0.021679[/C][C]-0.1987[/C][C]0.421493[/C][/ROW]
[ROW][C]19[/C][C]-0.039303[/C][C]-0.3602[/C][C]0.359793[/C][/ROW]
[ROW][C]20[/C][C]-0.087261[/C][C]-0.7998[/C][C]0.213053[/C][/ROW]
[ROW][C]21[/C][C]-0.112158[/C][C]-1.0279[/C][C]0.153463[/C][/ROW]
[ROW][C]22[/C][C]-0.067903[/C][C]-0.6223[/C][C]0.267702[/C][/ROW]
[ROW][C]23[/C][C]0.071158[/C][C]0.6522[/C][C]0.258033[/C][/ROW]
[ROW][C]24[/C][C]0.044427[/C][C]0.4072[/C][C]0.342456[/C][/ROW]
[ROW][C]25[/C][C]0.100904[/C][C]0.9248[/C][C]0.178858[/C][/ROW]
[ROW][C]26[/C][C]-0.123095[/C][C]-1.1282[/C][C]0.131227[/C][/ROW]
[ROW][C]27[/C][C]-0.110591[/C][C]-1.0136[/C][C]0.156846[/C][/ROW]
[ROW][C]28[/C][C]-0.064663[/C][C]-0.5926[/C][C]0.277507[/C][/ROW]
[ROW][C]29[/C][C]-0.071341[/C][C]-0.6539[/C][C]0.257496[/C][/ROW]
[ROW][C]30[/C][C]-0.001314[/C][C]-0.012[/C][C]0.49521[/C][/ROW]
[ROW][C]31[/C][C]0.070964[/C][C]0.6504[/C][C]0.258606[/C][/ROW]
[ROW][C]32[/C][C]-0.045995[/C][C]-0.4216[/C][C]0.337215[/C][/ROW]
[ROW][C]33[/C][C]0.118448[/C][C]1.0856[/C][C]0.140382[/C][/ROW]
[ROW][C]34[/C][C]-0.071485[/C][C]-0.6552[/C][C]0.257075[/C][/ROW]
[ROW][C]35[/C][C]-0.027683[/C][C]-0.2537[/C][C]0.400165[/C][/ROW]
[ROW][C]36[/C][C]-0.032941[/C][C]-0.3019[/C][C]0.381734[/C][/ROW]
[ROW][C]37[/C][C]-0.053957[/C][C]-0.4945[/C][C]0.311113[/C][/ROW]
[ROW][C]38[/C][C]0.023157[/C][C]0.2122[/C][C]0.416219[/C][/ROW]
[ROW][C]39[/C][C]-0.10852[/C][C]-0.9946[/C][C]0.161393[/C][/ROW]
[ROW][C]40[/C][C]0.017825[/C][C]0.1634[/C][C]0.435312[/C][/ROW]
[ROW][C]41[/C][C]-0.117049[/C][C]-1.0728[/C][C]0.143224[/C][/ROW]
[ROW][C]42[/C][C]0.00052[/C][C]0.0048[/C][C]0.498104[/C][/ROW]
[ROW][C]43[/C][C]0.095418[/C][C]0.8745[/C][C]0.192164[/C][/ROW]
[ROW][C]44[/C][C]-0.040774[/C][C]-0.3737[/C][C]0.354785[/C][/ROW]
[ROW][C]45[/C][C]-0.120274[/C][C]-1.1023[/C][C]0.136733[/C][/ROW]
[ROW][C]46[/C][C]0.009161[/C][C]0.084[/C][C]0.466645[/C][/ROW]
[ROW][C]47[/C][C]-0.01809[/C][C]-0.1658[/C][C]0.434358[/C][/ROW]
[ROW][C]48[/C][C]-0.112307[/C][C]-1.0293[/C][C]0.153145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41377&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41377&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
10.6731816.16980
20.1681021.54070.063577
30.0436860.40040.344944
4-0.101429-0.92960.177618
5-0.060348-0.55310.290832
6-0.049837-0.45680.324508
7-0.009774-0.08960.464416
8-0.119451-1.09480.138369
9-0.037133-0.34030.36723
10-0.042709-0.39140.348234
11-0.007651-0.07010.472131
12-0.036822-0.33750.3683
13-0.085751-0.78590.217062
14-0.019842-0.18190.428068
15-0.144223-1.32180.094907
16-0.001957-0.01790.492867
170.0190160.17430.431031
18-0.021679-0.19870.421493
19-0.039303-0.36020.359793
20-0.087261-0.79980.213053
21-0.112158-1.02790.153463
22-0.067903-0.62230.267702
230.0711580.65220.258033
240.0444270.40720.342456
250.1009040.92480.178858
26-0.123095-1.12820.131227
27-0.110591-1.01360.156846
28-0.064663-0.59260.277507
29-0.071341-0.65390.257496
30-0.001314-0.0120.49521
310.0709640.65040.258606
32-0.045995-0.42160.337215
330.1184481.08560.140382
34-0.071485-0.65520.257075
35-0.027683-0.25370.400165
36-0.032941-0.30190.381734
37-0.053957-0.49450.311113
380.0231570.21220.416219
39-0.10852-0.99460.161393
400.0178250.16340.435312
41-0.117049-1.07280.143224
420.000520.00480.498104
430.0954180.87450.192164
44-0.040774-0.37370.354785
45-0.120274-1.10230.136733
460.0091610.0840.466645
47-0.01809-0.16580.434358
48-0.112307-1.02930.153145



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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 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')