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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, 28 Nov 2007 12:03:55 -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/Nov/28/t119627607775fd3ih13fhypvb.htm/, Retrieved Thu, 02 May 2024 01:26:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7225, Retrieved Thu, 02 May 2024 01:26:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelation] [2007-11-28 19:03:55] [ecfd493d8912453b8c9c073043a11928] [Current]
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Dataseries X:
0,51
0,51
0,51
0,51
0,51
0,51
0,51
0,51
0,5
0,51
0,51
0,5
0,51
0,51
0,51
0,51
0,52
0,52
0,52
0,53
0,53
0,52
0,52
0,52
0,52
0,52
0,52
0,52
0,52
0,52
0,52
0,53
0,53
0,53
0,54
0,54
0,54
0,54
0,54
0,54
0,54
0,54
0,54
0,54
0,53
0,53
0,53
0,53
0,53
0,54
0,55
0,55
0,55
0,55
0,55
0,55
0,55
0,55
0,56
0,56
0,56
0,56
0,56
0,55
0,56
0,55
0,55
0,56
0,55
0,55
0,55
0,55




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=7225&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=7225&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7225&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
018.48530
10.9401347.97730
20.8986267.62510
30.8662997.35080
40.8064326.84280
50.7475226.34290
60.7106046.02970
70.6736875.71640
80.6239565.29441e-06
90.5769034.89523e-06
100.5271724.47321.4e-05
110.4820314.09025.5e-05
120.4313443.66010.000239
130.3907933.3160.000716
140.3594223.04980.001602
150.3408632.89230.002527
160.3085362.6180.005387
170.2863442.42970.008803
180.2595622.20250.015418
190.2236011.89730.030898
200.1885961.60030.056957
210.162771.38120.085752
220.1222191.03710.151588
230.0807120.68490.247815
240.0566070.48030.316225
250.0233230.19790.421838
26-0.00996-0.08450.53356
27-0.038655-0.3280.628066
28-0.071939-0.61040.728247
29-0.104266-0.88470.810376
30-0.127414-1.08110.85838
31-0.159742-1.35550.910246
32-0.181934-1.54380.936485
33-0.194946-1.65420.948777
34-0.226318-1.92040.970614
35-0.242964-2.06160.978572
36-0.25502-2.16390.983105
37-0.276256-2.34410.989082
38-0.292902-2.48540.992367
39-0.301324-2.55680.993664
40-0.309747-2.62830.994759
41-0.322759-2.73870.996116
42-0.327548-2.77930.996528
43-0.336927-2.85890.997222
44-0.341716-2.89960.997524
45-0.356641-3.02620.998283
46-0.376155-3.19180.998952
47-0.39108-3.31840.999289
48-0.401415-3.40610.999459
49-0.42093-3.57170.999682
50-0.425719-3.61230.999721
51-0.415782-3.5280.999633
52-0.414069-3.51350.999616
53-0.416946-3.53790.999645
54-0.402419-3.41460.999474
55-0.387893-3.29140.999227
56-0.387136-3.2850.999211
57-0.359796-3.0530.998413
58-0.341636-2.89890.99752
59-0.31793-2.69770.995655

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.4853 & 0 \tabularnewline
1 & 0.940134 & 7.9773 & 0 \tabularnewline
2 & 0.898626 & 7.6251 & 0 \tabularnewline
3 & 0.866299 & 7.3508 & 0 \tabularnewline
4 & 0.806432 & 6.8428 & 0 \tabularnewline
5 & 0.747522 & 6.3429 & 0 \tabularnewline
6 & 0.710604 & 6.0297 & 0 \tabularnewline
7 & 0.673687 & 5.7164 & 0 \tabularnewline
8 & 0.623956 & 5.2944 & 1e-06 \tabularnewline
9 & 0.576903 & 4.8952 & 3e-06 \tabularnewline
10 & 0.527172 & 4.4732 & 1.4e-05 \tabularnewline
11 & 0.482031 & 4.0902 & 5.5e-05 \tabularnewline
12 & 0.431344 & 3.6601 & 0.000239 \tabularnewline
13 & 0.390793 & 3.316 & 0.000716 \tabularnewline
14 & 0.359422 & 3.0498 & 0.001602 \tabularnewline
15 & 0.340863 & 2.8923 & 0.002527 \tabularnewline
16 & 0.308536 & 2.618 & 0.005387 \tabularnewline
17 & 0.286344 & 2.4297 & 0.008803 \tabularnewline
18 & 0.259562 & 2.2025 & 0.015418 \tabularnewline
19 & 0.223601 & 1.8973 & 0.030898 \tabularnewline
20 & 0.188596 & 1.6003 & 0.056957 \tabularnewline
21 & 0.16277 & 1.3812 & 0.085752 \tabularnewline
22 & 0.122219 & 1.0371 & 0.151588 \tabularnewline
23 & 0.080712 & 0.6849 & 0.247815 \tabularnewline
24 & 0.056607 & 0.4803 & 0.316225 \tabularnewline
25 & 0.023323 & 0.1979 & 0.421838 \tabularnewline
26 & -0.00996 & -0.0845 & 0.53356 \tabularnewline
27 & -0.038655 & -0.328 & 0.628066 \tabularnewline
28 & -0.071939 & -0.6104 & 0.728247 \tabularnewline
29 & -0.104266 & -0.8847 & 0.810376 \tabularnewline
30 & -0.127414 & -1.0811 & 0.85838 \tabularnewline
31 & -0.159742 & -1.3555 & 0.910246 \tabularnewline
32 & -0.181934 & -1.5438 & 0.936485 \tabularnewline
33 & -0.194946 & -1.6542 & 0.948777 \tabularnewline
34 & -0.226318 & -1.9204 & 0.970614 \tabularnewline
35 & -0.242964 & -2.0616 & 0.978572 \tabularnewline
36 & -0.25502 & -2.1639 & 0.983105 \tabularnewline
37 & -0.276256 & -2.3441 & 0.989082 \tabularnewline
38 & -0.292902 & -2.4854 & 0.992367 \tabularnewline
39 & -0.301324 & -2.5568 & 0.993664 \tabularnewline
40 & -0.309747 & -2.6283 & 0.994759 \tabularnewline
41 & -0.322759 & -2.7387 & 0.996116 \tabularnewline
42 & -0.327548 & -2.7793 & 0.996528 \tabularnewline
43 & -0.336927 & -2.8589 & 0.997222 \tabularnewline
44 & -0.341716 & -2.8996 & 0.997524 \tabularnewline
45 & -0.356641 & -3.0262 & 0.998283 \tabularnewline
46 & -0.376155 & -3.1918 & 0.998952 \tabularnewline
47 & -0.39108 & -3.3184 & 0.999289 \tabularnewline
48 & -0.401415 & -3.4061 & 0.999459 \tabularnewline
49 & -0.42093 & -3.5717 & 0.999682 \tabularnewline
50 & -0.425719 & -3.6123 & 0.999721 \tabularnewline
51 & -0.415782 & -3.528 & 0.999633 \tabularnewline
52 & -0.414069 & -3.5135 & 0.999616 \tabularnewline
53 & -0.416946 & -3.5379 & 0.999645 \tabularnewline
54 & -0.402419 & -3.4146 & 0.999474 \tabularnewline
55 & -0.387893 & -3.2914 & 0.999227 \tabularnewline
56 & -0.387136 & -3.285 & 0.999211 \tabularnewline
57 & -0.359796 & -3.053 & 0.998413 \tabularnewline
58 & -0.341636 & -2.8989 & 0.99752 \tabularnewline
59 & -0.31793 & -2.6977 & 0.995655 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7225&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]8.4853[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.940134[/C][C]7.9773[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.898626[/C][C]7.6251[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.866299[/C][C]7.3508[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.806432[/C][C]6.8428[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.747522[/C][C]6.3429[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.710604[/C][C]6.0297[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.673687[/C][C]5.7164[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.623956[/C][C]5.2944[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.576903[/C][C]4.8952[/C][C]3e-06[/C][/ROW]
[ROW][C]10[/C][C]0.527172[/C][C]4.4732[/C][C]1.4e-05[/C][/ROW]
[ROW][C]11[/C][C]0.482031[/C][C]4.0902[/C][C]5.5e-05[/C][/ROW]
[ROW][C]12[/C][C]0.431344[/C][C]3.6601[/C][C]0.000239[/C][/ROW]
[ROW][C]13[/C][C]0.390793[/C][C]3.316[/C][C]0.000716[/C][/ROW]
[ROW][C]14[/C][C]0.359422[/C][C]3.0498[/C][C]0.001602[/C][/ROW]
[ROW][C]15[/C][C]0.340863[/C][C]2.8923[/C][C]0.002527[/C][/ROW]
[ROW][C]16[/C][C]0.308536[/C][C]2.618[/C][C]0.005387[/C][/ROW]
[ROW][C]17[/C][C]0.286344[/C][C]2.4297[/C][C]0.008803[/C][/ROW]
[ROW][C]18[/C][C]0.259562[/C][C]2.2025[/C][C]0.015418[/C][/ROW]
[ROW][C]19[/C][C]0.223601[/C][C]1.8973[/C][C]0.030898[/C][/ROW]
[ROW][C]20[/C][C]0.188596[/C][C]1.6003[/C][C]0.056957[/C][/ROW]
[ROW][C]21[/C][C]0.16277[/C][C]1.3812[/C][C]0.085752[/C][/ROW]
[ROW][C]22[/C][C]0.122219[/C][C]1.0371[/C][C]0.151588[/C][/ROW]
[ROW][C]23[/C][C]0.080712[/C][C]0.6849[/C][C]0.247815[/C][/ROW]
[ROW][C]24[/C][C]0.056607[/C][C]0.4803[/C][C]0.316225[/C][/ROW]
[ROW][C]25[/C][C]0.023323[/C][C]0.1979[/C][C]0.421838[/C][/ROW]
[ROW][C]26[/C][C]-0.00996[/C][C]-0.0845[/C][C]0.53356[/C][/ROW]
[ROW][C]27[/C][C]-0.038655[/C][C]-0.328[/C][C]0.628066[/C][/ROW]
[ROW][C]28[/C][C]-0.071939[/C][C]-0.6104[/C][C]0.728247[/C][/ROW]
[ROW][C]29[/C][C]-0.104266[/C][C]-0.8847[/C][C]0.810376[/C][/ROW]
[ROW][C]30[/C][C]-0.127414[/C][C]-1.0811[/C][C]0.85838[/C][/ROW]
[ROW][C]31[/C][C]-0.159742[/C][C]-1.3555[/C][C]0.910246[/C][/ROW]
[ROW][C]32[/C][C]-0.181934[/C][C]-1.5438[/C][C]0.936485[/C][/ROW]
[ROW][C]33[/C][C]-0.194946[/C][C]-1.6542[/C][C]0.948777[/C][/ROW]
[ROW][C]34[/C][C]-0.226318[/C][C]-1.9204[/C][C]0.970614[/C][/ROW]
[ROW][C]35[/C][C]-0.242964[/C][C]-2.0616[/C][C]0.978572[/C][/ROW]
[ROW][C]36[/C][C]-0.25502[/C][C]-2.1639[/C][C]0.983105[/C][/ROW]
[ROW][C]37[/C][C]-0.276256[/C][C]-2.3441[/C][C]0.989082[/C][/ROW]
[ROW][C]38[/C][C]-0.292902[/C][C]-2.4854[/C][C]0.992367[/C][/ROW]
[ROW][C]39[/C][C]-0.301324[/C][C]-2.5568[/C][C]0.993664[/C][/ROW]
[ROW][C]40[/C][C]-0.309747[/C][C]-2.6283[/C][C]0.994759[/C][/ROW]
[ROW][C]41[/C][C]-0.322759[/C][C]-2.7387[/C][C]0.996116[/C][/ROW]
[ROW][C]42[/C][C]-0.327548[/C][C]-2.7793[/C][C]0.996528[/C][/ROW]
[ROW][C]43[/C][C]-0.336927[/C][C]-2.8589[/C][C]0.997222[/C][/ROW]
[ROW][C]44[/C][C]-0.341716[/C][C]-2.8996[/C][C]0.997524[/C][/ROW]
[ROW][C]45[/C][C]-0.356641[/C][C]-3.0262[/C][C]0.998283[/C][/ROW]
[ROW][C]46[/C][C]-0.376155[/C][C]-3.1918[/C][C]0.998952[/C][/ROW]
[ROW][C]47[/C][C]-0.39108[/C][C]-3.3184[/C][C]0.999289[/C][/ROW]
[ROW][C]48[/C][C]-0.401415[/C][C]-3.4061[/C][C]0.999459[/C][/ROW]
[ROW][C]49[/C][C]-0.42093[/C][C]-3.5717[/C][C]0.999682[/C][/ROW]
[ROW][C]50[/C][C]-0.425719[/C][C]-3.6123[/C][C]0.999721[/C][/ROW]
[ROW][C]51[/C][C]-0.415782[/C][C]-3.528[/C][C]0.999633[/C][/ROW]
[ROW][C]52[/C][C]-0.414069[/C][C]-3.5135[/C][C]0.999616[/C][/ROW]
[ROW][C]53[/C][C]-0.416946[/C][C]-3.5379[/C][C]0.999645[/C][/ROW]
[ROW][C]54[/C][C]-0.402419[/C][C]-3.4146[/C][C]0.999474[/C][/ROW]
[ROW][C]55[/C][C]-0.387893[/C][C]-3.2914[/C][C]0.999227[/C][/ROW]
[ROW][C]56[/C][C]-0.387136[/C][C]-3.285[/C][C]0.999211[/C][/ROW]
[ROW][C]57[/C][C]-0.359796[/C][C]-3.053[/C][C]0.998413[/C][/ROW]
[ROW][C]58[/C][C]-0.341636[/C][C]-2.8989[/C][C]0.99752[/C][/ROW]
[ROW][C]59[/C][C]-0.31793[/C][C]-2.6977[/C][C]0.995655[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7225&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7225&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
018.48530
10.9401347.97730
20.8986267.62510
30.8662997.35080
40.8064326.84280
50.7475226.34290
60.7106046.02970
70.6736875.71640
80.6239565.29441e-06
90.5769034.89523e-06
100.5271724.47321.4e-05
110.4820314.09025.5e-05
120.4313443.66010.000239
130.3907933.3160.000716
140.3594223.04980.001602
150.3408632.89230.002527
160.3085362.6180.005387
170.2863442.42970.008803
180.2595622.20250.015418
190.2236011.89730.030898
200.1885961.60030.056957
210.162771.38120.085752
220.1222191.03710.151588
230.0807120.68490.247815
240.0566070.48030.316225
250.0233230.19790.421838
26-0.00996-0.08450.53356
27-0.038655-0.3280.628066
28-0.071939-0.61040.728247
29-0.104266-0.88470.810376
30-0.127414-1.08110.85838
31-0.159742-1.35550.910246
32-0.181934-1.54380.936485
33-0.194946-1.65420.948777
34-0.226318-1.92040.970614
35-0.242964-2.06160.978572
36-0.25502-2.16390.983105
37-0.276256-2.34410.989082
38-0.292902-2.48540.992367
39-0.301324-2.55680.993664
40-0.309747-2.62830.994759
41-0.322759-2.73870.996116
42-0.327548-2.77930.996528
43-0.336927-2.85890.997222
44-0.341716-2.89960.997524
45-0.356641-3.02620.998283
46-0.376155-3.19180.998952
47-0.39108-3.31840.999289
48-0.401415-3.40610.999459
49-0.42093-3.57170.999682
50-0.425719-3.61230.999721
51-0.415782-3.5280.999633
52-0.414069-3.51350.999616
53-0.416946-3.53790.999645
54-0.402419-3.41460.999474
55-0.387893-3.29140.999227
56-0.387136-3.2850.999211
57-0.359796-3.0530.998413
58-0.341636-2.89890.99752
59-0.31793-2.69770.995655







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9401347.97730
10.1272091.07940.142006
20.0817910.6940.244951
3-0.231581-1.9650.973366
4-0.089049-0.75560.773824
50.1278011.08440.140897
60.0847370.7190.23723
7-0.099284-0.84240.798837
8-0.119068-1.01030.842139
9-0.104965-0.89070.811959
100.0808960.68640.247325
11-0.017525-0.14870.5589
120.0396280.33630.36883
130.0179830.15260.439574
140.1364151.15750.125442
15-0.110698-0.93930.824641
160.0096880.08220.467355
17-0.113067-0.95940.829717
18-0.027279-0.23150.591196
19-0.031108-0.2640.603718
200.0563080.47780.317124
21-0.175568-1.48970.92967
22-0.075853-0.64360.739072
230.0489410.41530.339588
240.0396580.33650.368732
25-0.008604-0.0730.529
26-0.038597-0.32750.627882
27-0.117306-0.99540.838555
280.0508460.43140.333717
290.0514080.43620.331994
30-0.074954-0.6360.736606
31-0.046245-0.39240.65204
320.0533650.45280.326021
33-0.143601-1.21850.886493
340.0756750.64210.261416
35-0.063932-0.54250.705417
360.0041780.03540.48591
370.0008760.00740.497044
380.0205410.17430.431061
390.003210.02720.489174
40-0.060488-0.51330.69533
41-0.022045-0.18710.57393
42-0.018035-0.1530.560599
430.0659690.55980.288689
44-0.154189-1.30830.90254
45-0.146528-1.24330.89111
46-0.036312-0.30810.620559
470.0777420.65970.255788
480.0063410.05380.47862
490.0198060.16810.433505
500.043610.370.35622
510.0423180.35910.360293
52-0.075-0.63640.736731
530.0457310.3880.349565
540.0542170.460.323435
55-0.026449-0.22440.58847
560.090450.76750.22265
57-0.094933-0.80550.788417
580.0005020.00430.498307
590.0741290.6290.265669

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.940134 & 7.9773 & 0 \tabularnewline
1 & 0.127209 & 1.0794 & 0.142006 \tabularnewline
2 & 0.081791 & 0.694 & 0.244951 \tabularnewline
3 & -0.231581 & -1.965 & 0.973366 \tabularnewline
4 & -0.089049 & -0.7556 & 0.773824 \tabularnewline
5 & 0.127801 & 1.0844 & 0.140897 \tabularnewline
6 & 0.084737 & 0.719 & 0.23723 \tabularnewline
7 & -0.099284 & -0.8424 & 0.798837 \tabularnewline
8 & -0.119068 & -1.0103 & 0.842139 \tabularnewline
9 & -0.104965 & -0.8907 & 0.811959 \tabularnewline
10 & 0.080896 & 0.6864 & 0.247325 \tabularnewline
11 & -0.017525 & -0.1487 & 0.5589 \tabularnewline
12 & 0.039628 & 0.3363 & 0.36883 \tabularnewline
13 & 0.017983 & 0.1526 & 0.439574 \tabularnewline
14 & 0.136415 & 1.1575 & 0.125442 \tabularnewline
15 & -0.110698 & -0.9393 & 0.824641 \tabularnewline
16 & 0.009688 & 0.0822 & 0.467355 \tabularnewline
17 & -0.113067 & -0.9594 & 0.829717 \tabularnewline
18 & -0.027279 & -0.2315 & 0.591196 \tabularnewline
19 & -0.031108 & -0.264 & 0.603718 \tabularnewline
20 & 0.056308 & 0.4778 & 0.317124 \tabularnewline
21 & -0.175568 & -1.4897 & 0.92967 \tabularnewline
22 & -0.075853 & -0.6436 & 0.739072 \tabularnewline
23 & 0.048941 & 0.4153 & 0.339588 \tabularnewline
24 & 0.039658 & 0.3365 & 0.368732 \tabularnewline
25 & -0.008604 & -0.073 & 0.529 \tabularnewline
26 & -0.038597 & -0.3275 & 0.627882 \tabularnewline
27 & -0.117306 & -0.9954 & 0.838555 \tabularnewline
28 & 0.050846 & 0.4314 & 0.333717 \tabularnewline
29 & 0.051408 & 0.4362 & 0.331994 \tabularnewline
30 & -0.074954 & -0.636 & 0.736606 \tabularnewline
31 & -0.046245 & -0.3924 & 0.65204 \tabularnewline
32 & 0.053365 & 0.4528 & 0.326021 \tabularnewline
33 & -0.143601 & -1.2185 & 0.886493 \tabularnewline
34 & 0.075675 & 0.6421 & 0.261416 \tabularnewline
35 & -0.063932 & -0.5425 & 0.705417 \tabularnewline
36 & 0.004178 & 0.0354 & 0.48591 \tabularnewline
37 & 0.000876 & 0.0074 & 0.497044 \tabularnewline
38 & 0.020541 & 0.1743 & 0.431061 \tabularnewline
39 & 0.00321 & 0.0272 & 0.489174 \tabularnewline
40 & -0.060488 & -0.5133 & 0.69533 \tabularnewline
41 & -0.022045 & -0.1871 & 0.57393 \tabularnewline
42 & -0.018035 & -0.153 & 0.560599 \tabularnewline
43 & 0.065969 & 0.5598 & 0.288689 \tabularnewline
44 & -0.154189 & -1.3083 & 0.90254 \tabularnewline
45 & -0.146528 & -1.2433 & 0.89111 \tabularnewline
46 & -0.036312 & -0.3081 & 0.620559 \tabularnewline
47 & 0.077742 & 0.6597 & 0.255788 \tabularnewline
48 & 0.006341 & 0.0538 & 0.47862 \tabularnewline
49 & 0.019806 & 0.1681 & 0.433505 \tabularnewline
50 & 0.04361 & 0.37 & 0.35622 \tabularnewline
51 & 0.042318 & 0.3591 & 0.360293 \tabularnewline
52 & -0.075 & -0.6364 & 0.736731 \tabularnewline
53 & 0.045731 & 0.388 & 0.349565 \tabularnewline
54 & 0.054217 & 0.46 & 0.323435 \tabularnewline
55 & -0.026449 & -0.2244 & 0.58847 \tabularnewline
56 & 0.09045 & 0.7675 & 0.22265 \tabularnewline
57 & -0.094933 & -0.8055 & 0.788417 \tabularnewline
58 & 0.000502 & 0.0043 & 0.498307 \tabularnewline
59 & 0.074129 & 0.629 & 0.265669 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7225&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]0.940134[/C][C]7.9773[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.127209[/C][C]1.0794[/C][C]0.142006[/C][/ROW]
[ROW][C]2[/C][C]0.081791[/C][C]0.694[/C][C]0.244951[/C][/ROW]
[ROW][C]3[/C][C]-0.231581[/C][C]-1.965[/C][C]0.973366[/C][/ROW]
[ROW][C]4[/C][C]-0.089049[/C][C]-0.7556[/C][C]0.773824[/C][/ROW]
[ROW][C]5[/C][C]0.127801[/C][C]1.0844[/C][C]0.140897[/C][/ROW]
[ROW][C]6[/C][C]0.084737[/C][C]0.719[/C][C]0.23723[/C][/ROW]
[ROW][C]7[/C][C]-0.099284[/C][C]-0.8424[/C][C]0.798837[/C][/ROW]
[ROW][C]8[/C][C]-0.119068[/C][C]-1.0103[/C][C]0.842139[/C][/ROW]
[ROW][C]9[/C][C]-0.104965[/C][C]-0.8907[/C][C]0.811959[/C][/ROW]
[ROW][C]10[/C][C]0.080896[/C][C]0.6864[/C][C]0.247325[/C][/ROW]
[ROW][C]11[/C][C]-0.017525[/C][C]-0.1487[/C][C]0.5589[/C][/ROW]
[ROW][C]12[/C][C]0.039628[/C][C]0.3363[/C][C]0.36883[/C][/ROW]
[ROW][C]13[/C][C]0.017983[/C][C]0.1526[/C][C]0.439574[/C][/ROW]
[ROW][C]14[/C][C]0.136415[/C][C]1.1575[/C][C]0.125442[/C][/ROW]
[ROW][C]15[/C][C]-0.110698[/C][C]-0.9393[/C][C]0.824641[/C][/ROW]
[ROW][C]16[/C][C]0.009688[/C][C]0.0822[/C][C]0.467355[/C][/ROW]
[ROW][C]17[/C][C]-0.113067[/C][C]-0.9594[/C][C]0.829717[/C][/ROW]
[ROW][C]18[/C][C]-0.027279[/C][C]-0.2315[/C][C]0.591196[/C][/ROW]
[ROW][C]19[/C][C]-0.031108[/C][C]-0.264[/C][C]0.603718[/C][/ROW]
[ROW][C]20[/C][C]0.056308[/C][C]0.4778[/C][C]0.317124[/C][/ROW]
[ROW][C]21[/C][C]-0.175568[/C][C]-1.4897[/C][C]0.92967[/C][/ROW]
[ROW][C]22[/C][C]-0.075853[/C][C]-0.6436[/C][C]0.739072[/C][/ROW]
[ROW][C]23[/C][C]0.048941[/C][C]0.4153[/C][C]0.339588[/C][/ROW]
[ROW][C]24[/C][C]0.039658[/C][C]0.3365[/C][C]0.368732[/C][/ROW]
[ROW][C]25[/C][C]-0.008604[/C][C]-0.073[/C][C]0.529[/C][/ROW]
[ROW][C]26[/C][C]-0.038597[/C][C]-0.3275[/C][C]0.627882[/C][/ROW]
[ROW][C]27[/C][C]-0.117306[/C][C]-0.9954[/C][C]0.838555[/C][/ROW]
[ROW][C]28[/C][C]0.050846[/C][C]0.4314[/C][C]0.333717[/C][/ROW]
[ROW][C]29[/C][C]0.051408[/C][C]0.4362[/C][C]0.331994[/C][/ROW]
[ROW][C]30[/C][C]-0.074954[/C][C]-0.636[/C][C]0.736606[/C][/ROW]
[ROW][C]31[/C][C]-0.046245[/C][C]-0.3924[/C][C]0.65204[/C][/ROW]
[ROW][C]32[/C][C]0.053365[/C][C]0.4528[/C][C]0.326021[/C][/ROW]
[ROW][C]33[/C][C]-0.143601[/C][C]-1.2185[/C][C]0.886493[/C][/ROW]
[ROW][C]34[/C][C]0.075675[/C][C]0.6421[/C][C]0.261416[/C][/ROW]
[ROW][C]35[/C][C]-0.063932[/C][C]-0.5425[/C][C]0.705417[/C][/ROW]
[ROW][C]36[/C][C]0.004178[/C][C]0.0354[/C][C]0.48591[/C][/ROW]
[ROW][C]37[/C][C]0.000876[/C][C]0.0074[/C][C]0.497044[/C][/ROW]
[ROW][C]38[/C][C]0.020541[/C][C]0.1743[/C][C]0.431061[/C][/ROW]
[ROW][C]39[/C][C]0.00321[/C][C]0.0272[/C][C]0.489174[/C][/ROW]
[ROW][C]40[/C][C]-0.060488[/C][C]-0.5133[/C][C]0.69533[/C][/ROW]
[ROW][C]41[/C][C]-0.022045[/C][C]-0.1871[/C][C]0.57393[/C][/ROW]
[ROW][C]42[/C][C]-0.018035[/C][C]-0.153[/C][C]0.560599[/C][/ROW]
[ROW][C]43[/C][C]0.065969[/C][C]0.5598[/C][C]0.288689[/C][/ROW]
[ROW][C]44[/C][C]-0.154189[/C][C]-1.3083[/C][C]0.90254[/C][/ROW]
[ROW][C]45[/C][C]-0.146528[/C][C]-1.2433[/C][C]0.89111[/C][/ROW]
[ROW][C]46[/C][C]-0.036312[/C][C]-0.3081[/C][C]0.620559[/C][/ROW]
[ROW][C]47[/C][C]0.077742[/C][C]0.6597[/C][C]0.255788[/C][/ROW]
[ROW][C]48[/C][C]0.006341[/C][C]0.0538[/C][C]0.47862[/C][/ROW]
[ROW][C]49[/C][C]0.019806[/C][C]0.1681[/C][C]0.433505[/C][/ROW]
[ROW][C]50[/C][C]0.04361[/C][C]0.37[/C][C]0.35622[/C][/ROW]
[ROW][C]51[/C][C]0.042318[/C][C]0.3591[/C][C]0.360293[/C][/ROW]
[ROW][C]52[/C][C]-0.075[/C][C]-0.6364[/C][C]0.736731[/C][/ROW]
[ROW][C]53[/C][C]0.045731[/C][C]0.388[/C][C]0.349565[/C][/ROW]
[ROW][C]54[/C][C]0.054217[/C][C]0.46[/C][C]0.323435[/C][/ROW]
[ROW][C]55[/C][C]-0.026449[/C][C]-0.2244[/C][C]0.58847[/C][/ROW]
[ROW][C]56[/C][C]0.09045[/C][C]0.7675[/C][C]0.22265[/C][/ROW]
[ROW][C]57[/C][C]-0.094933[/C][C]-0.8055[/C][C]0.788417[/C][/ROW]
[ROW][C]58[/C][C]0.000502[/C][C]0.0043[/C][C]0.498307[/C][/ROW]
[ROW][C]59[/C][C]0.074129[/C][C]0.629[/C][C]0.265669[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7225&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7225&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
00.9401347.97730
10.1272091.07940.142006
20.0817910.6940.244951
3-0.231581-1.9650.973366
4-0.089049-0.75560.773824
50.1278011.08440.140897
60.0847370.7190.23723
7-0.099284-0.84240.798837
8-0.119068-1.01030.842139
9-0.104965-0.89070.811959
100.0808960.68640.247325
11-0.017525-0.14870.5589
120.0396280.33630.36883
130.0179830.15260.439574
140.1364151.15750.125442
15-0.110698-0.93930.824641
160.0096880.08220.467355
17-0.113067-0.95940.829717
18-0.027279-0.23150.591196
19-0.031108-0.2640.603718
200.0563080.47780.317124
21-0.175568-1.48970.92967
22-0.075853-0.64360.739072
230.0489410.41530.339588
240.0396580.33650.368732
25-0.008604-0.0730.529
26-0.038597-0.32750.627882
27-0.117306-0.99540.838555
280.0508460.43140.333717
290.0514080.43620.331994
30-0.074954-0.6360.736606
31-0.046245-0.39240.65204
320.0533650.45280.326021
33-0.143601-1.21850.886493
340.0756750.64210.261416
35-0.063932-0.54250.705417
360.0041780.03540.48591
370.0008760.00740.497044
380.0205410.17430.431061
390.003210.02720.489174
40-0.060488-0.51330.69533
41-0.022045-0.18710.57393
42-0.018035-0.1530.560599
430.0659690.55980.288689
44-0.154189-1.30830.90254
45-0.146528-1.24330.89111
46-0.036312-0.30810.620559
470.0777420.65970.255788
480.0063410.05380.47862
490.0198060.16810.433505
500.043610.370.35622
510.0423180.35910.360293
52-0.075-0.63640.736731
530.0457310.3880.349565
540.0542170.460.323435
55-0.026449-0.22440.58847
560.090450.76750.22265
57-0.094933-0.80550.788417
580.0005020.00430.498307
590.0741290.6290.265669



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')