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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, 13 May 2009 10:24:35 -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/May/13/t1242232011pobdhkazvxp9icn.htm/, Retrieved Wed, 08 May 2024 19:20:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39869, Retrieved Wed, 08 May 2024 19:20:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Eigen reeks: bier...] [2009-05-13 16:24:35] [43452a058b5967e58219044a1f0127ad] [Current]
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Dataseries X:
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.42
0.41
0.42
0.42
0.42
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.43
0.43
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.43
0.44
0.44
0.46
0.46
0.46
0.46
0.46
0.45
0.45
0.46
0.46
0.46
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47




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=39869&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=39869&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39869&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
10.9591299.39750
20.9249459.06260
30.8840748.66210
40.8476618.30540
50.809027.92670
60.7792937.63550
70.7495677.34420
80.7176127.03110
90.6834286.69620
100.6470156.33940
110.6083735.96080
120.5812235.69480
130.5537265.42540
140.5265775.15941e-06
150.5038854.9372e-06
160.4811944.71474e-06
170.4425524.33611.8e-05
180.3998013.91728.4e-05
190.3570493.49840.000356
200.3165273.10130.001265
210.2760042.70430.004049
220.2540092.48880.00727
230.2320142.27330.012619
240.2170542.12670.018005
250.1906021.86750.032441
260.1641491.60830.055524
270.1354671.32730.093778
280.1090151.06810.144072
290.0825620.80890.210275
300.0561090.54980.291881
310.0251990.24690.402757
32-0.00794-0.07780.469075
33-0.038851-0.38070.352149
34-0.07199-0.70540.241148
35-0.105129-1.03010.152786
36-0.126776-1.24210.108604
37-0.148423-1.45420.074571
38-0.163035-1.59740.056731
39-0.177646-1.74060.042481
40-0.192258-1.88370.031314
41-0.209099-2.04870.021608
42-0.225939-2.21370.014607
43-0.240551-2.35690.010229
44-0.255163-2.50010.007056
45-0.267546-2.62140.005091
46-0.278048-2.72430.003828
47-0.286322-2.80540.003042
48-0.299053-2.93010.002117

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.959129 & 9.3975 & 0 \tabularnewline
2 & 0.924945 & 9.0626 & 0 \tabularnewline
3 & 0.884074 & 8.6621 & 0 \tabularnewline
4 & 0.847661 & 8.3054 & 0 \tabularnewline
5 & 0.80902 & 7.9267 & 0 \tabularnewline
6 & 0.779293 & 7.6355 & 0 \tabularnewline
7 & 0.749567 & 7.3442 & 0 \tabularnewline
8 & 0.717612 & 7.0311 & 0 \tabularnewline
9 & 0.683428 & 6.6962 & 0 \tabularnewline
10 & 0.647015 & 6.3394 & 0 \tabularnewline
11 & 0.608373 & 5.9608 & 0 \tabularnewline
12 & 0.581223 & 5.6948 & 0 \tabularnewline
13 & 0.553726 & 5.4254 & 0 \tabularnewline
14 & 0.526577 & 5.1594 & 1e-06 \tabularnewline
15 & 0.503885 & 4.937 & 2e-06 \tabularnewline
16 & 0.481194 & 4.7147 & 4e-06 \tabularnewline
17 & 0.442552 & 4.3361 & 1.8e-05 \tabularnewline
18 & 0.399801 & 3.9172 & 8.4e-05 \tabularnewline
19 & 0.357049 & 3.4984 & 0.000356 \tabularnewline
20 & 0.316527 & 3.1013 & 0.001265 \tabularnewline
21 & 0.276004 & 2.7043 & 0.004049 \tabularnewline
22 & 0.254009 & 2.4888 & 0.00727 \tabularnewline
23 & 0.232014 & 2.2733 & 0.012619 \tabularnewline
24 & 0.217054 & 2.1267 & 0.018005 \tabularnewline
25 & 0.190602 & 1.8675 & 0.032441 \tabularnewline
26 & 0.164149 & 1.6083 & 0.055524 \tabularnewline
27 & 0.135467 & 1.3273 & 0.093778 \tabularnewline
28 & 0.109015 & 1.0681 & 0.144072 \tabularnewline
29 & 0.082562 & 0.8089 & 0.210275 \tabularnewline
30 & 0.056109 & 0.5498 & 0.291881 \tabularnewline
31 & 0.025199 & 0.2469 & 0.402757 \tabularnewline
32 & -0.00794 & -0.0778 & 0.469075 \tabularnewline
33 & -0.038851 & -0.3807 & 0.352149 \tabularnewline
34 & -0.07199 & -0.7054 & 0.241148 \tabularnewline
35 & -0.105129 & -1.0301 & 0.152786 \tabularnewline
36 & -0.126776 & -1.2421 & 0.108604 \tabularnewline
37 & -0.148423 & -1.4542 & 0.074571 \tabularnewline
38 & -0.163035 & -1.5974 & 0.056731 \tabularnewline
39 & -0.177646 & -1.7406 & 0.042481 \tabularnewline
40 & -0.192258 & -1.8837 & 0.031314 \tabularnewline
41 & -0.209099 & -2.0487 & 0.021608 \tabularnewline
42 & -0.225939 & -2.2137 & 0.014607 \tabularnewline
43 & -0.240551 & -2.3569 & 0.010229 \tabularnewline
44 & -0.255163 & -2.5001 & 0.007056 \tabularnewline
45 & -0.267546 & -2.6214 & 0.005091 \tabularnewline
46 & -0.278048 & -2.7243 & 0.003828 \tabularnewline
47 & -0.286322 & -2.8054 & 0.003042 \tabularnewline
48 & -0.299053 & -2.9301 & 0.002117 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39869&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]0.959129[/C][C]9.3975[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.924945[/C][C]9.0626[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.884074[/C][C]8.6621[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.847661[/C][C]8.3054[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.80902[/C][C]7.9267[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.779293[/C][C]7.6355[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.749567[/C][C]7.3442[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.717612[/C][C]7.0311[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.683428[/C][C]6.6962[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.647015[/C][C]6.3394[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.608373[/C][C]5.9608[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.581223[/C][C]5.6948[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.553726[/C][C]5.4254[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.526577[/C][C]5.1594[/C][C]1e-06[/C][/ROW]
[ROW][C]15[/C][C]0.503885[/C][C]4.937[/C][C]2e-06[/C][/ROW]
[ROW][C]16[/C][C]0.481194[/C][C]4.7147[/C][C]4e-06[/C][/ROW]
[ROW][C]17[/C][C]0.442552[/C][C]4.3361[/C][C]1.8e-05[/C][/ROW]
[ROW][C]18[/C][C]0.399801[/C][C]3.9172[/C][C]8.4e-05[/C][/ROW]
[ROW][C]19[/C][C]0.357049[/C][C]3.4984[/C][C]0.000356[/C][/ROW]
[ROW][C]20[/C][C]0.316527[/C][C]3.1013[/C][C]0.001265[/C][/ROW]
[ROW][C]21[/C][C]0.276004[/C][C]2.7043[/C][C]0.004049[/C][/ROW]
[ROW][C]22[/C][C]0.254009[/C][C]2.4888[/C][C]0.00727[/C][/ROW]
[ROW][C]23[/C][C]0.232014[/C][C]2.2733[/C][C]0.012619[/C][/ROW]
[ROW][C]24[/C][C]0.217054[/C][C]2.1267[/C][C]0.018005[/C][/ROW]
[ROW][C]25[/C][C]0.190602[/C][C]1.8675[/C][C]0.032441[/C][/ROW]
[ROW][C]26[/C][C]0.164149[/C][C]1.6083[/C][C]0.055524[/C][/ROW]
[ROW][C]27[/C][C]0.135467[/C][C]1.3273[/C][C]0.093778[/C][/ROW]
[ROW][C]28[/C][C]0.109015[/C][C]1.0681[/C][C]0.144072[/C][/ROW]
[ROW][C]29[/C][C]0.082562[/C][C]0.8089[/C][C]0.210275[/C][/ROW]
[ROW][C]30[/C][C]0.056109[/C][C]0.5498[/C][C]0.291881[/C][/ROW]
[ROW][C]31[/C][C]0.025199[/C][C]0.2469[/C][C]0.402757[/C][/ROW]
[ROW][C]32[/C][C]-0.00794[/C][C]-0.0778[/C][C]0.469075[/C][/ROW]
[ROW][C]33[/C][C]-0.038851[/C][C]-0.3807[/C][C]0.352149[/C][/ROW]
[ROW][C]34[/C][C]-0.07199[/C][C]-0.7054[/C][C]0.241148[/C][/ROW]
[ROW][C]35[/C][C]-0.105129[/C][C]-1.0301[/C][C]0.152786[/C][/ROW]
[ROW][C]36[/C][C]-0.126776[/C][C]-1.2421[/C][C]0.108604[/C][/ROW]
[ROW][C]37[/C][C]-0.148423[/C][C]-1.4542[/C][C]0.074571[/C][/ROW]
[ROW][C]38[/C][C]-0.163035[/C][C]-1.5974[/C][C]0.056731[/C][/ROW]
[ROW][C]39[/C][C]-0.177646[/C][C]-1.7406[/C][C]0.042481[/C][/ROW]
[ROW][C]40[/C][C]-0.192258[/C][C]-1.8837[/C][C]0.031314[/C][/ROW]
[ROW][C]41[/C][C]-0.209099[/C][C]-2.0487[/C][C]0.021608[/C][/ROW]
[ROW][C]42[/C][C]-0.225939[/C][C]-2.2137[/C][C]0.014607[/C][/ROW]
[ROW][C]43[/C][C]-0.240551[/C][C]-2.3569[/C][C]0.010229[/C][/ROW]
[ROW][C]44[/C][C]-0.255163[/C][C]-2.5001[/C][C]0.007056[/C][/ROW]
[ROW][C]45[/C][C]-0.267546[/C][C]-2.6214[/C][C]0.005091[/C][/ROW]
[ROW][C]46[/C][C]-0.278048[/C][C]-2.7243[/C][C]0.003828[/C][/ROW]
[ROW][C]47[/C][C]-0.286322[/C][C]-2.8054[/C][C]0.003042[/C][/ROW]
[ROW][C]48[/C][C]-0.299053[/C][C]-2.9301[/C][C]0.002117[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39869&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39869&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
10.9591299.39750
20.9249459.06260
30.8840748.66210
40.8476618.30540
50.809027.92670
60.7792937.63550
70.7495677.34420
80.7176127.03110
90.6834286.69620
100.6470156.33940
110.6083735.96080
120.5812235.69480
130.5537265.42540
140.5265775.15941e-06
150.5038854.9372e-06
160.4811944.71474e-06
170.4425524.33611.8e-05
180.3998013.91728.4e-05
190.3570493.49840.000356
200.3165273.10130.001265
210.2760042.70430.004049
220.2540092.48880.00727
230.2320142.27330.012619
240.2170542.12670.018005
250.1906021.86750.032441
260.1641491.60830.055524
270.1354671.32730.093778
280.1090151.06810.144072
290.0825620.80890.210275
300.0561090.54980.291881
310.0251990.24690.402757
32-0.00794-0.07780.469075
33-0.038851-0.38070.352149
34-0.07199-0.70540.241148
35-0.105129-1.03010.152786
36-0.126776-1.24210.108604
37-0.148423-1.45420.074571
38-0.163035-1.59740.056731
39-0.177646-1.74060.042481
40-0.192258-1.88370.031314
41-0.209099-2.04870.021608
42-0.225939-2.21370.014607
43-0.240551-2.35690.010229
44-0.255163-2.50010.007056
45-0.267546-2.62140.005091
46-0.278048-2.72430.003828
47-0.286322-2.80540.003042
48-0.299053-2.93010.002117







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9591299.39750
20.0626470.61380.270395
3-0.095006-0.93090.17713
40.0221820.21730.414203
5-0.034453-0.33760.368211
60.0811310.79490.21431
70.0034660.0340.486488
8-0.06159-0.60350.273813
9-0.044556-0.43660.331706
10-0.050242-0.49230.311825
11-0.043087-0.42220.336924
120.1266271.24070.108872
13-0.006378-0.06250.475152
14-0.042957-0.42090.337389
150.0437260.42840.33465
16-0.016773-0.16430.434905
17-0.203008-1.98910.02477
18-0.095862-0.93930.17498
19-0.020324-0.19910.42129
200.0011410.01120.495551
21-0.028029-0.27460.392098
220.174011.70490.045719
230.0206160.2020.420173
240.0508830.49860.309617
25-0.138729-1.35930.088625
26-0.039499-0.3870.349802
270.0114040.11170.455631
28-0.054984-0.53870.29566
29-0.037293-0.36540.357812
30-0.041169-0.40340.343784
31-0.134939-1.32210.094633
32-0.087314-0.85550.197201
330.1084751.06280.145262
340.000350.00340.498634
35-0.025817-0.25290.400424
360.1245781.22060.112611
37-0.017836-0.17480.430818
38-0.011-0.10780.457198
39-0.062658-0.61390.27036
40-0.087775-0.860.195961
410.003890.03810.484839
42-0.028074-0.27510.391926
430.0362870.35550.361482
440.0289080.28320.388803
450.0108630.10640.457731
46-0.059621-0.58420.28024
470.0967510.9480.172763
48-0.061814-0.60560.273089

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.959129 & 9.3975 & 0 \tabularnewline
2 & 0.062647 & 0.6138 & 0.270395 \tabularnewline
3 & -0.095006 & -0.9309 & 0.17713 \tabularnewline
4 & 0.022182 & 0.2173 & 0.414203 \tabularnewline
5 & -0.034453 & -0.3376 & 0.368211 \tabularnewline
6 & 0.081131 & 0.7949 & 0.21431 \tabularnewline
7 & 0.003466 & 0.034 & 0.486488 \tabularnewline
8 & -0.06159 & -0.6035 & 0.273813 \tabularnewline
9 & -0.044556 & -0.4366 & 0.331706 \tabularnewline
10 & -0.050242 & -0.4923 & 0.311825 \tabularnewline
11 & -0.043087 & -0.4222 & 0.336924 \tabularnewline
12 & 0.126627 & 1.2407 & 0.108872 \tabularnewline
13 & -0.006378 & -0.0625 & 0.475152 \tabularnewline
14 & -0.042957 & -0.4209 & 0.337389 \tabularnewline
15 & 0.043726 & 0.4284 & 0.33465 \tabularnewline
16 & -0.016773 & -0.1643 & 0.434905 \tabularnewline
17 & -0.203008 & -1.9891 & 0.02477 \tabularnewline
18 & -0.095862 & -0.9393 & 0.17498 \tabularnewline
19 & -0.020324 & -0.1991 & 0.42129 \tabularnewline
20 & 0.001141 & 0.0112 & 0.495551 \tabularnewline
21 & -0.028029 & -0.2746 & 0.392098 \tabularnewline
22 & 0.17401 & 1.7049 & 0.045719 \tabularnewline
23 & 0.020616 & 0.202 & 0.420173 \tabularnewline
24 & 0.050883 & 0.4986 & 0.309617 \tabularnewline
25 & -0.138729 & -1.3593 & 0.088625 \tabularnewline
26 & -0.039499 & -0.387 & 0.349802 \tabularnewline
27 & 0.011404 & 0.1117 & 0.455631 \tabularnewline
28 & -0.054984 & -0.5387 & 0.29566 \tabularnewline
29 & -0.037293 & -0.3654 & 0.357812 \tabularnewline
30 & -0.041169 & -0.4034 & 0.343784 \tabularnewline
31 & -0.134939 & -1.3221 & 0.094633 \tabularnewline
32 & -0.087314 & -0.8555 & 0.197201 \tabularnewline
33 & 0.108475 & 1.0628 & 0.145262 \tabularnewline
34 & 0.00035 & 0.0034 & 0.498634 \tabularnewline
35 & -0.025817 & -0.2529 & 0.400424 \tabularnewline
36 & 0.124578 & 1.2206 & 0.112611 \tabularnewline
37 & -0.017836 & -0.1748 & 0.430818 \tabularnewline
38 & -0.011 & -0.1078 & 0.457198 \tabularnewline
39 & -0.062658 & -0.6139 & 0.27036 \tabularnewline
40 & -0.087775 & -0.86 & 0.195961 \tabularnewline
41 & 0.00389 & 0.0381 & 0.484839 \tabularnewline
42 & -0.028074 & -0.2751 & 0.391926 \tabularnewline
43 & 0.036287 & 0.3555 & 0.361482 \tabularnewline
44 & 0.028908 & 0.2832 & 0.388803 \tabularnewline
45 & 0.010863 & 0.1064 & 0.457731 \tabularnewline
46 & -0.059621 & -0.5842 & 0.28024 \tabularnewline
47 & 0.096751 & 0.948 & 0.172763 \tabularnewline
48 & -0.061814 & -0.6056 & 0.273089 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39869&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]0.959129[/C][C]9.3975[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.062647[/C][C]0.6138[/C][C]0.270395[/C][/ROW]
[ROW][C]3[/C][C]-0.095006[/C][C]-0.9309[/C][C]0.17713[/C][/ROW]
[ROW][C]4[/C][C]0.022182[/C][C]0.2173[/C][C]0.414203[/C][/ROW]
[ROW][C]5[/C][C]-0.034453[/C][C]-0.3376[/C][C]0.368211[/C][/ROW]
[ROW][C]6[/C][C]0.081131[/C][C]0.7949[/C][C]0.21431[/C][/ROW]
[ROW][C]7[/C][C]0.003466[/C][C]0.034[/C][C]0.486488[/C][/ROW]
[ROW][C]8[/C][C]-0.06159[/C][C]-0.6035[/C][C]0.273813[/C][/ROW]
[ROW][C]9[/C][C]-0.044556[/C][C]-0.4366[/C][C]0.331706[/C][/ROW]
[ROW][C]10[/C][C]-0.050242[/C][C]-0.4923[/C][C]0.311825[/C][/ROW]
[ROW][C]11[/C][C]-0.043087[/C][C]-0.4222[/C][C]0.336924[/C][/ROW]
[ROW][C]12[/C][C]0.126627[/C][C]1.2407[/C][C]0.108872[/C][/ROW]
[ROW][C]13[/C][C]-0.006378[/C][C]-0.0625[/C][C]0.475152[/C][/ROW]
[ROW][C]14[/C][C]-0.042957[/C][C]-0.4209[/C][C]0.337389[/C][/ROW]
[ROW][C]15[/C][C]0.043726[/C][C]0.4284[/C][C]0.33465[/C][/ROW]
[ROW][C]16[/C][C]-0.016773[/C][C]-0.1643[/C][C]0.434905[/C][/ROW]
[ROW][C]17[/C][C]-0.203008[/C][C]-1.9891[/C][C]0.02477[/C][/ROW]
[ROW][C]18[/C][C]-0.095862[/C][C]-0.9393[/C][C]0.17498[/C][/ROW]
[ROW][C]19[/C][C]-0.020324[/C][C]-0.1991[/C][C]0.42129[/C][/ROW]
[ROW][C]20[/C][C]0.001141[/C][C]0.0112[/C][C]0.495551[/C][/ROW]
[ROW][C]21[/C][C]-0.028029[/C][C]-0.2746[/C][C]0.392098[/C][/ROW]
[ROW][C]22[/C][C]0.17401[/C][C]1.7049[/C][C]0.045719[/C][/ROW]
[ROW][C]23[/C][C]0.020616[/C][C]0.202[/C][C]0.420173[/C][/ROW]
[ROW][C]24[/C][C]0.050883[/C][C]0.4986[/C][C]0.309617[/C][/ROW]
[ROW][C]25[/C][C]-0.138729[/C][C]-1.3593[/C][C]0.088625[/C][/ROW]
[ROW][C]26[/C][C]-0.039499[/C][C]-0.387[/C][C]0.349802[/C][/ROW]
[ROW][C]27[/C][C]0.011404[/C][C]0.1117[/C][C]0.455631[/C][/ROW]
[ROW][C]28[/C][C]-0.054984[/C][C]-0.5387[/C][C]0.29566[/C][/ROW]
[ROW][C]29[/C][C]-0.037293[/C][C]-0.3654[/C][C]0.357812[/C][/ROW]
[ROW][C]30[/C][C]-0.041169[/C][C]-0.4034[/C][C]0.343784[/C][/ROW]
[ROW][C]31[/C][C]-0.134939[/C][C]-1.3221[/C][C]0.094633[/C][/ROW]
[ROW][C]32[/C][C]-0.087314[/C][C]-0.8555[/C][C]0.197201[/C][/ROW]
[ROW][C]33[/C][C]0.108475[/C][C]1.0628[/C][C]0.145262[/C][/ROW]
[ROW][C]34[/C][C]0.00035[/C][C]0.0034[/C][C]0.498634[/C][/ROW]
[ROW][C]35[/C][C]-0.025817[/C][C]-0.2529[/C][C]0.400424[/C][/ROW]
[ROW][C]36[/C][C]0.124578[/C][C]1.2206[/C][C]0.112611[/C][/ROW]
[ROW][C]37[/C][C]-0.017836[/C][C]-0.1748[/C][C]0.430818[/C][/ROW]
[ROW][C]38[/C][C]-0.011[/C][C]-0.1078[/C][C]0.457198[/C][/ROW]
[ROW][C]39[/C][C]-0.062658[/C][C]-0.6139[/C][C]0.27036[/C][/ROW]
[ROW][C]40[/C][C]-0.087775[/C][C]-0.86[/C][C]0.195961[/C][/ROW]
[ROW][C]41[/C][C]0.00389[/C][C]0.0381[/C][C]0.484839[/C][/ROW]
[ROW][C]42[/C][C]-0.028074[/C][C]-0.2751[/C][C]0.391926[/C][/ROW]
[ROW][C]43[/C][C]0.036287[/C][C]0.3555[/C][C]0.361482[/C][/ROW]
[ROW][C]44[/C][C]0.028908[/C][C]0.2832[/C][C]0.388803[/C][/ROW]
[ROW][C]45[/C][C]0.010863[/C][C]0.1064[/C][C]0.457731[/C][/ROW]
[ROW][C]46[/C][C]-0.059621[/C][C]-0.5842[/C][C]0.28024[/C][/ROW]
[ROW][C]47[/C][C]0.096751[/C][C]0.948[/C][C]0.172763[/C][/ROW]
[ROW][C]48[/C][C]-0.061814[/C][C]-0.6056[/C][C]0.273089[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39869&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39869&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
10.9591299.39750
20.0626470.61380.270395
3-0.095006-0.93090.17713
40.0221820.21730.414203
5-0.034453-0.33760.368211
60.0811310.79490.21431
70.0034660.0340.486488
8-0.06159-0.60350.273813
9-0.044556-0.43660.331706
10-0.050242-0.49230.311825
11-0.043087-0.42220.336924
120.1266271.24070.108872
13-0.006378-0.06250.475152
14-0.042957-0.42090.337389
150.0437260.42840.33465
16-0.016773-0.16430.434905
17-0.203008-1.98910.02477
18-0.095862-0.93930.17498
19-0.020324-0.19910.42129
200.0011410.01120.495551
21-0.028029-0.27460.392098
220.174011.70490.045719
230.0206160.2020.420173
240.0508830.49860.309617
25-0.138729-1.35930.088625
26-0.039499-0.3870.349802
270.0114040.11170.455631
28-0.054984-0.53870.29566
29-0.037293-0.36540.357812
30-0.041169-0.40340.343784
31-0.134939-1.32210.094633
32-0.087314-0.85550.197201
330.1084751.06280.145262
340.000350.00340.498634
35-0.025817-0.25290.400424
360.1245781.22060.112611
37-0.017836-0.17480.430818
38-0.011-0.10780.457198
39-0.062658-0.61390.27036
40-0.087775-0.860.195961
410.003890.03810.484839
42-0.028074-0.27510.391926
430.0362870.35550.361482
440.0289080.28320.388803
450.0108630.10640.457731
46-0.059621-0.58420.28024
470.0967510.9480.172763
48-0.061814-0.60560.273089



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')