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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 20 Nov 2010 10:35:08 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/20/t1290249233082w20qw1ns14f2.htm/, Retrieved Sat, 27 Apr 2024 07:22:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=98175, Retrieved Sat, 27 Apr 2024 07:22:37 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6 bis oef 2] [2010-11-20 10:35:08] [a8c08f114ed6b33170d4a8ec3391edfe] [Current]
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Dataseries X:
7,08
7,08
7,09
7,07
7,06
6,99
6,99
6,99
6,98
6,96
6,95
6,91
6,91
6,87
6,91
6,89
6,88
6,9
6,91
6,85
6,86
6,82
6,8
6,83
6,84
6,89
7,14
7,21
7,25
7,31
7,3
7,48
7,49
7,4
7,44
7,42
7,14
7,24
7,33
7,61
7,66
7,69
7,7
7,68
7,71
7,71
7,72
7,68
7,72
7,74
7,76
7,9
7,97
7,96
7,95
7,97
7,93
7,99
7,96
7,92
7,97
7,98
8
8,04
8,17
8,29
8,26
8,3
8,32
8,28
8,27
8,32
8,31
8,34
8,32
8,36
8,33
8,35
8,34
8,37
8,31
8,33
8,34
8,25




Summary of computational 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 computational 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=98175&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]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=98175&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=98175&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9776558.96040
20.9501288.70810
30.9216788.44730
40.8924598.17950
50.8623257.90330
60.8326277.63120
70.8022777.3530
80.7732527.0870
90.7415596.79650
100.7105126.5120
110.6800296.23260
120.6463885.92420
130.6090495.5820
140.5673555.19991e-06
150.5226354.794e-06
160.4775894.37721.7e-05
170.433843.97627.4e-05
180.3908773.58240.000285
190.3487113.1960.000982
200.3099712.84090.002821
210.2741662.51280.006945
220.2392232.19250.015554
230.2038181.8680.032623
240.1674411.53460.064317
250.1315121.20530.11573
260.0917230.84070.201464
270.0539610.49460.311099
280.0191690.17570.430482
29-0.014569-0.13350.447049
30-0.045084-0.41320.340257
31-0.07547-0.69170.245519
32-0.102651-0.94080.17475
33-0.126467-1.15910.124852
34-0.149556-1.37070.087059
35-0.172375-1.57980.05895
36-0.194179-1.77970.039373
37-0.221962-2.03430.022537
38-0.249771-2.28920.012289
39-0.277025-2.5390.006481
40-0.2991-2.74130.003738
41-0.320192-2.93460.002153
42-0.34056-3.12130.001234
43-0.360678-3.30570.000697
44-0.379196-3.47540.000405
45-0.395377-3.62370.000248
46-0.403647-3.69950.000192
47-0.408205-3.74130.000167
48-0.412271-3.77850.000147

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.977655 & 8.9604 & 0 \tabularnewline
2 & 0.950128 & 8.7081 & 0 \tabularnewline
3 & 0.921678 & 8.4473 & 0 \tabularnewline
4 & 0.892459 & 8.1795 & 0 \tabularnewline
5 & 0.862325 & 7.9033 & 0 \tabularnewline
6 & 0.832627 & 7.6312 & 0 \tabularnewline
7 & 0.802277 & 7.353 & 0 \tabularnewline
8 & 0.773252 & 7.087 & 0 \tabularnewline
9 & 0.741559 & 6.7965 & 0 \tabularnewline
10 & 0.710512 & 6.512 & 0 \tabularnewline
11 & 0.680029 & 6.2326 & 0 \tabularnewline
12 & 0.646388 & 5.9242 & 0 \tabularnewline
13 & 0.609049 & 5.582 & 0 \tabularnewline
14 & 0.567355 & 5.1999 & 1e-06 \tabularnewline
15 & 0.522635 & 4.79 & 4e-06 \tabularnewline
16 & 0.477589 & 4.3772 & 1.7e-05 \tabularnewline
17 & 0.43384 & 3.9762 & 7.4e-05 \tabularnewline
18 & 0.390877 & 3.5824 & 0.000285 \tabularnewline
19 & 0.348711 & 3.196 & 0.000982 \tabularnewline
20 & 0.309971 & 2.8409 & 0.002821 \tabularnewline
21 & 0.274166 & 2.5128 & 0.006945 \tabularnewline
22 & 0.239223 & 2.1925 & 0.015554 \tabularnewline
23 & 0.203818 & 1.868 & 0.032623 \tabularnewline
24 & 0.167441 & 1.5346 & 0.064317 \tabularnewline
25 & 0.131512 & 1.2053 & 0.11573 \tabularnewline
26 & 0.091723 & 0.8407 & 0.201464 \tabularnewline
27 & 0.053961 & 0.4946 & 0.311099 \tabularnewline
28 & 0.019169 & 0.1757 & 0.430482 \tabularnewline
29 & -0.014569 & -0.1335 & 0.447049 \tabularnewline
30 & -0.045084 & -0.4132 & 0.340257 \tabularnewline
31 & -0.07547 & -0.6917 & 0.245519 \tabularnewline
32 & -0.102651 & -0.9408 & 0.17475 \tabularnewline
33 & -0.126467 & -1.1591 & 0.124852 \tabularnewline
34 & -0.149556 & -1.3707 & 0.087059 \tabularnewline
35 & -0.172375 & -1.5798 & 0.05895 \tabularnewline
36 & -0.194179 & -1.7797 & 0.039373 \tabularnewline
37 & -0.221962 & -2.0343 & 0.022537 \tabularnewline
38 & -0.249771 & -2.2892 & 0.012289 \tabularnewline
39 & -0.277025 & -2.539 & 0.006481 \tabularnewline
40 & -0.2991 & -2.7413 & 0.003738 \tabularnewline
41 & -0.320192 & -2.9346 & 0.002153 \tabularnewline
42 & -0.34056 & -3.1213 & 0.001234 \tabularnewline
43 & -0.360678 & -3.3057 & 0.000697 \tabularnewline
44 & -0.379196 & -3.4754 & 0.000405 \tabularnewline
45 & -0.395377 & -3.6237 & 0.000248 \tabularnewline
46 & -0.403647 & -3.6995 & 0.000192 \tabularnewline
47 & -0.408205 & -3.7413 & 0.000167 \tabularnewline
48 & -0.412271 & -3.7785 & 0.000147 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=98175&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]0.977655[/C][C]8.9604[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.950128[/C][C]8.7081[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.921678[/C][C]8.4473[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.892459[/C][C]8.1795[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.862325[/C][C]7.9033[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.832627[/C][C]7.6312[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.802277[/C][C]7.353[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.773252[/C][C]7.087[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.741559[/C][C]6.7965[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.710512[/C][C]6.512[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.680029[/C][C]6.2326[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.646388[/C][C]5.9242[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.609049[/C][C]5.582[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.567355[/C][C]5.1999[/C][C]1e-06[/C][/ROW]
[ROW][C]15[/C][C]0.522635[/C][C]4.79[/C][C]4e-06[/C][/ROW]
[ROW][C]16[/C][C]0.477589[/C][C]4.3772[/C][C]1.7e-05[/C][/ROW]
[ROW][C]17[/C][C]0.43384[/C][C]3.9762[/C][C]7.4e-05[/C][/ROW]
[ROW][C]18[/C][C]0.390877[/C][C]3.5824[/C][C]0.000285[/C][/ROW]
[ROW][C]19[/C][C]0.348711[/C][C]3.196[/C][C]0.000982[/C][/ROW]
[ROW][C]20[/C][C]0.309971[/C][C]2.8409[/C][C]0.002821[/C][/ROW]
[ROW][C]21[/C][C]0.274166[/C][C]2.5128[/C][C]0.006945[/C][/ROW]
[ROW][C]22[/C][C]0.239223[/C][C]2.1925[/C][C]0.015554[/C][/ROW]
[ROW][C]23[/C][C]0.203818[/C][C]1.868[/C][C]0.032623[/C][/ROW]
[ROW][C]24[/C][C]0.167441[/C][C]1.5346[/C][C]0.064317[/C][/ROW]
[ROW][C]25[/C][C]0.131512[/C][C]1.2053[/C][C]0.11573[/C][/ROW]
[ROW][C]26[/C][C]0.091723[/C][C]0.8407[/C][C]0.201464[/C][/ROW]
[ROW][C]27[/C][C]0.053961[/C][C]0.4946[/C][C]0.311099[/C][/ROW]
[ROW][C]28[/C][C]0.019169[/C][C]0.1757[/C][C]0.430482[/C][/ROW]
[ROW][C]29[/C][C]-0.014569[/C][C]-0.1335[/C][C]0.447049[/C][/ROW]
[ROW][C]30[/C][C]-0.045084[/C][C]-0.4132[/C][C]0.340257[/C][/ROW]
[ROW][C]31[/C][C]-0.07547[/C][C]-0.6917[/C][C]0.245519[/C][/ROW]
[ROW][C]32[/C][C]-0.102651[/C][C]-0.9408[/C][C]0.17475[/C][/ROW]
[ROW][C]33[/C][C]-0.126467[/C][C]-1.1591[/C][C]0.124852[/C][/ROW]
[ROW][C]34[/C][C]-0.149556[/C][C]-1.3707[/C][C]0.087059[/C][/ROW]
[ROW][C]35[/C][C]-0.172375[/C][C]-1.5798[/C][C]0.05895[/C][/ROW]
[ROW][C]36[/C][C]-0.194179[/C][C]-1.7797[/C][C]0.039373[/C][/ROW]
[ROW][C]37[/C][C]-0.221962[/C][C]-2.0343[/C][C]0.022537[/C][/ROW]
[ROW][C]38[/C][C]-0.249771[/C][C]-2.2892[/C][C]0.012289[/C][/ROW]
[ROW][C]39[/C][C]-0.277025[/C][C]-2.539[/C][C]0.006481[/C][/ROW]
[ROW][C]40[/C][C]-0.2991[/C][C]-2.7413[/C][C]0.003738[/C][/ROW]
[ROW][C]41[/C][C]-0.320192[/C][C]-2.9346[/C][C]0.002153[/C][/ROW]
[ROW][C]42[/C][C]-0.34056[/C][C]-3.1213[/C][C]0.001234[/C][/ROW]
[ROW][C]43[/C][C]-0.360678[/C][C]-3.3057[/C][C]0.000697[/C][/ROW]
[ROW][C]44[/C][C]-0.379196[/C][C]-3.4754[/C][C]0.000405[/C][/ROW]
[ROW][C]45[/C][C]-0.395377[/C][C]-3.6237[/C][C]0.000248[/C][/ROW]
[ROW][C]46[/C][C]-0.403647[/C][C]-3.6995[/C][C]0.000192[/C][/ROW]
[ROW][C]47[/C][C]-0.408205[/C][C]-3.7413[/C][C]0.000167[/C][/ROW]
[ROW][C]48[/C][C]-0.412271[/C][C]-3.7785[/C][C]0.000147[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=98175&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=98175&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
10.9776558.96040
20.9501288.70810
30.9216788.44730
40.8924598.17950
50.8623257.90330
60.8326277.63120
70.8022777.3530
80.7732527.0870
90.7415596.79650
100.7105126.5120
110.6800296.23260
120.6463885.92420
130.6090495.5820
140.5673555.19991e-06
150.5226354.794e-06
160.4775894.37721.7e-05
170.433843.97627.4e-05
180.3908773.58240.000285
190.3487113.1960.000982
200.3099712.84090.002821
210.2741662.51280.006945
220.2392232.19250.015554
230.2038181.8680.032623
240.1674411.53460.064317
250.1315121.20530.11573
260.0917230.84070.201464
270.0539610.49460.311099
280.0191690.17570.430482
29-0.014569-0.13350.447049
30-0.045084-0.41320.340257
31-0.07547-0.69170.245519
32-0.102651-0.94080.17475
33-0.126467-1.15910.124852
34-0.149556-1.37070.087059
35-0.172375-1.57980.05895
36-0.194179-1.77970.039373
37-0.221962-2.03430.022537
38-0.249771-2.28920.012289
39-0.277025-2.5390.006481
40-0.2991-2.74130.003738
41-0.320192-2.93460.002153
42-0.34056-3.12130.001234
43-0.360678-3.30570.000697
44-0.379196-3.47540.000405
45-0.395377-3.62370.000248
46-0.403647-3.69950.000192
47-0.408205-3.74130.000167
48-0.412271-3.77850.000147







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9776558.96040
2-0.12856-1.17830.121007
3-0.021872-0.20050.420801
4-0.029291-0.26850.394504
5-0.032799-0.30060.382229
6-0.001502-0.01380.494524
7-0.033378-0.30590.380212
80.0175580.16090.436269
9-0.084856-0.77770.21946
100.0106990.09810.46106
11-0.008909-0.08170.467559
12-0.094614-0.86720.194164
13-0.087184-0.79910.213256
14-0.112458-1.03070.15282
15-0.073638-0.67490.250796
16-0.028138-0.25790.398563
170.005590.05120.479631
18-0.018648-0.17090.432351
19-0.023534-0.21570.414876
200.0506680.46440.321789
210.0230610.21140.41656
22-0.018276-0.16750.433689
23-0.040502-0.37120.355708
24-0.049323-0.45210.326197
25-0.00564-0.05170.479448
26-0.110021-1.00840.15809
270.0511640.46890.32017
280.0252010.2310.408948
29-0.024802-0.22730.410366
300.0423950.38860.349294
31-0.064544-0.59160.277868
320.0360360.33030.371007
33-0.000428-0.00390.498439
34-0.030703-0.28140.389548
35-0.034248-0.31390.377193
36-0.018315-0.16790.433548
37-0.150621-1.38050.085554
38-0.014936-0.13690.445724
39-0.01509-0.13830.445165
400.0825020.75610.225838
41-0.054538-0.49990.309244
42-0.038304-0.35110.363211
43-0.047526-0.43560.332129
44-0.030391-0.27850.390641
450.0121170.11110.455921
460.1314311.20460.115874
470.0368150.33740.368323
48-0.01829-0.16760.43364

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.977655 & 8.9604 & 0 \tabularnewline
2 & -0.12856 & -1.1783 & 0.121007 \tabularnewline
3 & -0.021872 & -0.2005 & 0.420801 \tabularnewline
4 & -0.029291 & -0.2685 & 0.394504 \tabularnewline
5 & -0.032799 & -0.3006 & 0.382229 \tabularnewline
6 & -0.001502 & -0.0138 & 0.494524 \tabularnewline
7 & -0.033378 & -0.3059 & 0.380212 \tabularnewline
8 & 0.017558 & 0.1609 & 0.436269 \tabularnewline
9 & -0.084856 & -0.7777 & 0.21946 \tabularnewline
10 & 0.010699 & 0.0981 & 0.46106 \tabularnewline
11 & -0.008909 & -0.0817 & 0.467559 \tabularnewline
12 & -0.094614 & -0.8672 & 0.194164 \tabularnewline
13 & -0.087184 & -0.7991 & 0.213256 \tabularnewline
14 & -0.112458 & -1.0307 & 0.15282 \tabularnewline
15 & -0.073638 & -0.6749 & 0.250796 \tabularnewline
16 & -0.028138 & -0.2579 & 0.398563 \tabularnewline
17 & 0.00559 & 0.0512 & 0.479631 \tabularnewline
18 & -0.018648 & -0.1709 & 0.432351 \tabularnewline
19 & -0.023534 & -0.2157 & 0.414876 \tabularnewline
20 & 0.050668 & 0.4644 & 0.321789 \tabularnewline
21 & 0.023061 & 0.2114 & 0.41656 \tabularnewline
22 & -0.018276 & -0.1675 & 0.433689 \tabularnewline
23 & -0.040502 & -0.3712 & 0.355708 \tabularnewline
24 & -0.049323 & -0.4521 & 0.326197 \tabularnewline
25 & -0.00564 & -0.0517 & 0.479448 \tabularnewline
26 & -0.110021 & -1.0084 & 0.15809 \tabularnewline
27 & 0.051164 & 0.4689 & 0.32017 \tabularnewline
28 & 0.025201 & 0.231 & 0.408948 \tabularnewline
29 & -0.024802 & -0.2273 & 0.410366 \tabularnewline
30 & 0.042395 & 0.3886 & 0.349294 \tabularnewline
31 & -0.064544 & -0.5916 & 0.277868 \tabularnewline
32 & 0.036036 & 0.3303 & 0.371007 \tabularnewline
33 & -0.000428 & -0.0039 & 0.498439 \tabularnewline
34 & -0.030703 & -0.2814 & 0.389548 \tabularnewline
35 & -0.034248 & -0.3139 & 0.377193 \tabularnewline
36 & -0.018315 & -0.1679 & 0.433548 \tabularnewline
37 & -0.150621 & -1.3805 & 0.085554 \tabularnewline
38 & -0.014936 & -0.1369 & 0.445724 \tabularnewline
39 & -0.01509 & -0.1383 & 0.445165 \tabularnewline
40 & 0.082502 & 0.7561 & 0.225838 \tabularnewline
41 & -0.054538 & -0.4999 & 0.309244 \tabularnewline
42 & -0.038304 & -0.3511 & 0.363211 \tabularnewline
43 & -0.047526 & -0.4356 & 0.332129 \tabularnewline
44 & -0.030391 & -0.2785 & 0.390641 \tabularnewline
45 & 0.012117 & 0.1111 & 0.455921 \tabularnewline
46 & 0.131431 & 1.2046 & 0.115874 \tabularnewline
47 & 0.036815 & 0.3374 & 0.368323 \tabularnewline
48 & -0.01829 & -0.1676 & 0.43364 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=98175&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]0.977655[/C][C]8.9604[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.12856[/C][C]-1.1783[/C][C]0.121007[/C][/ROW]
[ROW][C]3[/C][C]-0.021872[/C][C]-0.2005[/C][C]0.420801[/C][/ROW]
[ROW][C]4[/C][C]-0.029291[/C][C]-0.2685[/C][C]0.394504[/C][/ROW]
[ROW][C]5[/C][C]-0.032799[/C][C]-0.3006[/C][C]0.382229[/C][/ROW]
[ROW][C]6[/C][C]-0.001502[/C][C]-0.0138[/C][C]0.494524[/C][/ROW]
[ROW][C]7[/C][C]-0.033378[/C][C]-0.3059[/C][C]0.380212[/C][/ROW]
[ROW][C]8[/C][C]0.017558[/C][C]0.1609[/C][C]0.436269[/C][/ROW]
[ROW][C]9[/C][C]-0.084856[/C][C]-0.7777[/C][C]0.21946[/C][/ROW]
[ROW][C]10[/C][C]0.010699[/C][C]0.0981[/C][C]0.46106[/C][/ROW]
[ROW][C]11[/C][C]-0.008909[/C][C]-0.0817[/C][C]0.467559[/C][/ROW]
[ROW][C]12[/C][C]-0.094614[/C][C]-0.8672[/C][C]0.194164[/C][/ROW]
[ROW][C]13[/C][C]-0.087184[/C][C]-0.7991[/C][C]0.213256[/C][/ROW]
[ROW][C]14[/C][C]-0.112458[/C][C]-1.0307[/C][C]0.15282[/C][/ROW]
[ROW][C]15[/C][C]-0.073638[/C][C]-0.6749[/C][C]0.250796[/C][/ROW]
[ROW][C]16[/C][C]-0.028138[/C][C]-0.2579[/C][C]0.398563[/C][/ROW]
[ROW][C]17[/C][C]0.00559[/C][C]0.0512[/C][C]0.479631[/C][/ROW]
[ROW][C]18[/C][C]-0.018648[/C][C]-0.1709[/C][C]0.432351[/C][/ROW]
[ROW][C]19[/C][C]-0.023534[/C][C]-0.2157[/C][C]0.414876[/C][/ROW]
[ROW][C]20[/C][C]0.050668[/C][C]0.4644[/C][C]0.321789[/C][/ROW]
[ROW][C]21[/C][C]0.023061[/C][C]0.2114[/C][C]0.41656[/C][/ROW]
[ROW][C]22[/C][C]-0.018276[/C][C]-0.1675[/C][C]0.433689[/C][/ROW]
[ROW][C]23[/C][C]-0.040502[/C][C]-0.3712[/C][C]0.355708[/C][/ROW]
[ROW][C]24[/C][C]-0.049323[/C][C]-0.4521[/C][C]0.326197[/C][/ROW]
[ROW][C]25[/C][C]-0.00564[/C][C]-0.0517[/C][C]0.479448[/C][/ROW]
[ROW][C]26[/C][C]-0.110021[/C][C]-1.0084[/C][C]0.15809[/C][/ROW]
[ROW][C]27[/C][C]0.051164[/C][C]0.4689[/C][C]0.32017[/C][/ROW]
[ROW][C]28[/C][C]0.025201[/C][C]0.231[/C][C]0.408948[/C][/ROW]
[ROW][C]29[/C][C]-0.024802[/C][C]-0.2273[/C][C]0.410366[/C][/ROW]
[ROW][C]30[/C][C]0.042395[/C][C]0.3886[/C][C]0.349294[/C][/ROW]
[ROW][C]31[/C][C]-0.064544[/C][C]-0.5916[/C][C]0.277868[/C][/ROW]
[ROW][C]32[/C][C]0.036036[/C][C]0.3303[/C][C]0.371007[/C][/ROW]
[ROW][C]33[/C][C]-0.000428[/C][C]-0.0039[/C][C]0.498439[/C][/ROW]
[ROW][C]34[/C][C]-0.030703[/C][C]-0.2814[/C][C]0.389548[/C][/ROW]
[ROW][C]35[/C][C]-0.034248[/C][C]-0.3139[/C][C]0.377193[/C][/ROW]
[ROW][C]36[/C][C]-0.018315[/C][C]-0.1679[/C][C]0.433548[/C][/ROW]
[ROW][C]37[/C][C]-0.150621[/C][C]-1.3805[/C][C]0.085554[/C][/ROW]
[ROW][C]38[/C][C]-0.014936[/C][C]-0.1369[/C][C]0.445724[/C][/ROW]
[ROW][C]39[/C][C]-0.01509[/C][C]-0.1383[/C][C]0.445165[/C][/ROW]
[ROW][C]40[/C][C]0.082502[/C][C]0.7561[/C][C]0.225838[/C][/ROW]
[ROW][C]41[/C][C]-0.054538[/C][C]-0.4999[/C][C]0.309244[/C][/ROW]
[ROW][C]42[/C][C]-0.038304[/C][C]-0.3511[/C][C]0.363211[/C][/ROW]
[ROW][C]43[/C][C]-0.047526[/C][C]-0.4356[/C][C]0.332129[/C][/ROW]
[ROW][C]44[/C][C]-0.030391[/C][C]-0.2785[/C][C]0.390641[/C][/ROW]
[ROW][C]45[/C][C]0.012117[/C][C]0.1111[/C][C]0.455921[/C][/ROW]
[ROW][C]46[/C][C]0.131431[/C][C]1.2046[/C][C]0.115874[/C][/ROW]
[ROW][C]47[/C][C]0.036815[/C][C]0.3374[/C][C]0.368323[/C][/ROW]
[ROW][C]48[/C][C]-0.01829[/C][C]-0.1676[/C][C]0.43364[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=98175&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=98175&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
10.9776558.96040
2-0.12856-1.17830.121007
3-0.021872-0.20050.420801
4-0.029291-0.26850.394504
5-0.032799-0.30060.382229
6-0.001502-0.01380.494524
7-0.033378-0.30590.380212
80.0175580.16090.436269
9-0.084856-0.77770.21946
100.0106990.09810.46106
11-0.008909-0.08170.467559
12-0.094614-0.86720.194164
13-0.087184-0.79910.213256
14-0.112458-1.03070.15282
15-0.073638-0.67490.250796
16-0.028138-0.25790.398563
170.005590.05120.479631
18-0.018648-0.17090.432351
19-0.023534-0.21570.414876
200.0506680.46440.321789
210.0230610.21140.41656
22-0.018276-0.16750.433689
23-0.040502-0.37120.355708
24-0.049323-0.45210.326197
25-0.00564-0.05170.479448
26-0.110021-1.00840.15809
270.0511640.46890.32017
280.0252010.2310.408948
29-0.024802-0.22730.410366
300.0423950.38860.349294
31-0.064544-0.59160.277868
320.0360360.33030.371007
33-0.000428-0.00390.498439
34-0.030703-0.28140.389548
35-0.034248-0.31390.377193
36-0.018315-0.16790.433548
37-0.150621-1.38050.085554
38-0.014936-0.13690.445724
39-0.01509-0.13830.445165
400.0825020.75610.225838
41-0.054538-0.49990.309244
42-0.038304-0.35110.363211
43-0.047526-0.43560.332129
44-0.030391-0.27850.390641
450.0121170.11110.455921
460.1314311.20460.115874
470.0368150.33740.368323
48-0.01829-0.16760.43364



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')