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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, 13 Jan 2009 13:33:00 -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/2009/Jan/13/t1231878896sne2511rzctwich.htm/, Retrieved Tue, 30 Apr 2024 20:51:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36872, Retrieved Tue, 30 Apr 2024 20:51:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact215
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [] [2008-12-11 22:59:07] [5f0d01c8f13cc00206c5540b026c54d8]
-    D    [(Partial) Autocorrelation Function] [roger dirkx 6BIS] [2009-01-13 20:33:00] [d4705a1369b459b79477be0edba48b1a] [Current]
-    D      [(Partial) Autocorrelation Function] [roger dirkx 6BIS] [2009-01-13 20:43:34] [5f0d01c8f13cc00206c5540b026c54d8]
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Dataseries X:
1.83
1.89
1.9
2.01
2.04
2.04
2.03
2.04
1.87
1.85
1.82
1.79
1.88
2.01
1.9
1.96
1.94
1.92
1.79
1.77
1.74
1.75
1.86
1.84
1.77
1.98
1.94
1.85
1.84
1.82
1.83
1.91
1.85
1.81
1.83
1.79
1.8
1.82
1.88
2.01
1.97
1.92
1.98
2.02
1.9
1.94
1.96
1.84
1.87
1.84
2.07
2.08
2.14
2.15
2.05
2.05
1.95
2.02
2.02
1.88
1.96
1.93
2.03
2.1
1.95
2.07
2.09
2.01
1.92
1.99
2.11
2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36872&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36872&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36872&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6804065.77340
20.4709723.99637.7e-05
30.3559133.020.001748
40.1927151.63520.053182
50.1180851.0020.159854
60.0808650.68620.247407
70.1591051.35010.090614
80.2769882.35030.01075
90.3331612.8270.00304
100.3739943.17340.001108
110.3369572.85920.002776
120.3824873.24550.00089
130.2769422.34990.010761
140.1577311.33840.09249
150.0683930.58030.281749
16-0.009043-0.07670.469524
17-0.02003-0.170.432758
18-0.01297-0.11010.456336
19-0.023067-0.19570.422687
20-0.041622-0.35320.362495
21-0.118339-1.00410.159336
22-0.167356-1.42010.079953
23-0.121069-1.02730.153858
24-0.065138-0.55270.291085
25-0.085177-0.72270.236088
26-0.048837-0.41440.339907
27-0.036642-0.31090.378382
28-0.134969-1.14530.127948
29-0.231054-1.96060.0269
30-0.275137-2.33460.011178
31-0.321944-2.73180.003959
32-0.327546-2.77930.003472
33-0.322596-2.73730.003899
34-0.30683-2.60350.005599
35-0.181233-1.53780.064239
36-0.126351-1.07210.143623
37-0.08204-0.69610.244295
38-0.065909-0.55930.288861
39-0.104207-0.88420.189759
40-0.114244-0.96940.167797
41-0.198534-1.68460.048197
42-0.288163-2.44510.008463
43-0.264801-2.24690.013856
44-0.184375-1.56450.061046
45-0.111143-0.94310.174396
46-0.093729-0.79530.214522
47-0.016842-0.14290.443382
480.0190570.16170.435995

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.680406 & 5.7734 & 0 \tabularnewline
2 & 0.470972 & 3.9963 & 7.7e-05 \tabularnewline
3 & 0.355913 & 3.02 & 0.001748 \tabularnewline
4 & 0.192715 & 1.6352 & 0.053182 \tabularnewline
5 & 0.118085 & 1.002 & 0.159854 \tabularnewline
6 & 0.080865 & 0.6862 & 0.247407 \tabularnewline
7 & 0.159105 & 1.3501 & 0.090614 \tabularnewline
8 & 0.276988 & 2.3503 & 0.01075 \tabularnewline
9 & 0.333161 & 2.827 & 0.00304 \tabularnewline
10 & 0.373994 & 3.1734 & 0.001108 \tabularnewline
11 & 0.336957 & 2.8592 & 0.002776 \tabularnewline
12 & 0.382487 & 3.2455 & 0.00089 \tabularnewline
13 & 0.276942 & 2.3499 & 0.010761 \tabularnewline
14 & 0.157731 & 1.3384 & 0.09249 \tabularnewline
15 & 0.068393 & 0.5803 & 0.281749 \tabularnewline
16 & -0.009043 & -0.0767 & 0.469524 \tabularnewline
17 & -0.02003 & -0.17 & 0.432758 \tabularnewline
18 & -0.01297 & -0.1101 & 0.456336 \tabularnewline
19 & -0.023067 & -0.1957 & 0.422687 \tabularnewline
20 & -0.041622 & -0.3532 & 0.362495 \tabularnewline
21 & -0.118339 & -1.0041 & 0.159336 \tabularnewline
22 & -0.167356 & -1.4201 & 0.079953 \tabularnewline
23 & -0.121069 & -1.0273 & 0.153858 \tabularnewline
24 & -0.065138 & -0.5527 & 0.291085 \tabularnewline
25 & -0.085177 & -0.7227 & 0.236088 \tabularnewline
26 & -0.048837 & -0.4144 & 0.339907 \tabularnewline
27 & -0.036642 & -0.3109 & 0.378382 \tabularnewline
28 & -0.134969 & -1.1453 & 0.127948 \tabularnewline
29 & -0.231054 & -1.9606 & 0.0269 \tabularnewline
30 & -0.275137 & -2.3346 & 0.011178 \tabularnewline
31 & -0.321944 & -2.7318 & 0.003959 \tabularnewline
32 & -0.327546 & -2.7793 & 0.003472 \tabularnewline
33 & -0.322596 & -2.7373 & 0.003899 \tabularnewline
34 & -0.30683 & -2.6035 & 0.005599 \tabularnewline
35 & -0.181233 & -1.5378 & 0.064239 \tabularnewline
36 & -0.126351 & -1.0721 & 0.143623 \tabularnewline
37 & -0.08204 & -0.6961 & 0.244295 \tabularnewline
38 & -0.065909 & -0.5593 & 0.288861 \tabularnewline
39 & -0.104207 & -0.8842 & 0.189759 \tabularnewline
40 & -0.114244 & -0.9694 & 0.167797 \tabularnewline
41 & -0.198534 & -1.6846 & 0.048197 \tabularnewline
42 & -0.288163 & -2.4451 & 0.008463 \tabularnewline
43 & -0.264801 & -2.2469 & 0.013856 \tabularnewline
44 & -0.184375 & -1.5645 & 0.061046 \tabularnewline
45 & -0.111143 & -0.9431 & 0.174396 \tabularnewline
46 & -0.093729 & -0.7953 & 0.214522 \tabularnewline
47 & -0.016842 & -0.1429 & 0.443382 \tabularnewline
48 & 0.019057 & 0.1617 & 0.435995 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36872&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]0.680406[/C][C]5.7734[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.470972[/C][C]3.9963[/C][C]7.7e-05[/C][/ROW]
[ROW][C]3[/C][C]0.355913[/C][C]3.02[/C][C]0.001748[/C][/ROW]
[ROW][C]4[/C][C]0.192715[/C][C]1.6352[/C][C]0.053182[/C][/ROW]
[ROW][C]5[/C][C]0.118085[/C][C]1.002[/C][C]0.159854[/C][/ROW]
[ROW][C]6[/C][C]0.080865[/C][C]0.6862[/C][C]0.247407[/C][/ROW]
[ROW][C]7[/C][C]0.159105[/C][C]1.3501[/C][C]0.090614[/C][/ROW]
[ROW][C]8[/C][C]0.276988[/C][C]2.3503[/C][C]0.01075[/C][/ROW]
[ROW][C]9[/C][C]0.333161[/C][C]2.827[/C][C]0.00304[/C][/ROW]
[ROW][C]10[/C][C]0.373994[/C][C]3.1734[/C][C]0.001108[/C][/ROW]
[ROW][C]11[/C][C]0.336957[/C][C]2.8592[/C][C]0.002776[/C][/ROW]
[ROW][C]12[/C][C]0.382487[/C][C]3.2455[/C][C]0.00089[/C][/ROW]
[ROW][C]13[/C][C]0.276942[/C][C]2.3499[/C][C]0.010761[/C][/ROW]
[ROW][C]14[/C][C]0.157731[/C][C]1.3384[/C][C]0.09249[/C][/ROW]
[ROW][C]15[/C][C]0.068393[/C][C]0.5803[/C][C]0.281749[/C][/ROW]
[ROW][C]16[/C][C]-0.009043[/C][C]-0.0767[/C][C]0.469524[/C][/ROW]
[ROW][C]17[/C][C]-0.02003[/C][C]-0.17[/C][C]0.432758[/C][/ROW]
[ROW][C]18[/C][C]-0.01297[/C][C]-0.1101[/C][C]0.456336[/C][/ROW]
[ROW][C]19[/C][C]-0.023067[/C][C]-0.1957[/C][C]0.422687[/C][/ROW]
[ROW][C]20[/C][C]-0.041622[/C][C]-0.3532[/C][C]0.362495[/C][/ROW]
[ROW][C]21[/C][C]-0.118339[/C][C]-1.0041[/C][C]0.159336[/C][/ROW]
[ROW][C]22[/C][C]-0.167356[/C][C]-1.4201[/C][C]0.079953[/C][/ROW]
[ROW][C]23[/C][C]-0.121069[/C][C]-1.0273[/C][C]0.153858[/C][/ROW]
[ROW][C]24[/C][C]-0.065138[/C][C]-0.5527[/C][C]0.291085[/C][/ROW]
[ROW][C]25[/C][C]-0.085177[/C][C]-0.7227[/C][C]0.236088[/C][/ROW]
[ROW][C]26[/C][C]-0.048837[/C][C]-0.4144[/C][C]0.339907[/C][/ROW]
[ROW][C]27[/C][C]-0.036642[/C][C]-0.3109[/C][C]0.378382[/C][/ROW]
[ROW][C]28[/C][C]-0.134969[/C][C]-1.1453[/C][C]0.127948[/C][/ROW]
[ROW][C]29[/C][C]-0.231054[/C][C]-1.9606[/C][C]0.0269[/C][/ROW]
[ROW][C]30[/C][C]-0.275137[/C][C]-2.3346[/C][C]0.011178[/C][/ROW]
[ROW][C]31[/C][C]-0.321944[/C][C]-2.7318[/C][C]0.003959[/C][/ROW]
[ROW][C]32[/C][C]-0.327546[/C][C]-2.7793[/C][C]0.003472[/C][/ROW]
[ROW][C]33[/C][C]-0.322596[/C][C]-2.7373[/C][C]0.003899[/C][/ROW]
[ROW][C]34[/C][C]-0.30683[/C][C]-2.6035[/C][C]0.005599[/C][/ROW]
[ROW][C]35[/C][C]-0.181233[/C][C]-1.5378[/C][C]0.064239[/C][/ROW]
[ROW][C]36[/C][C]-0.126351[/C][C]-1.0721[/C][C]0.143623[/C][/ROW]
[ROW][C]37[/C][C]-0.08204[/C][C]-0.6961[/C][C]0.244295[/C][/ROW]
[ROW][C]38[/C][C]-0.065909[/C][C]-0.5593[/C][C]0.288861[/C][/ROW]
[ROW][C]39[/C][C]-0.104207[/C][C]-0.8842[/C][C]0.189759[/C][/ROW]
[ROW][C]40[/C][C]-0.114244[/C][C]-0.9694[/C][C]0.167797[/C][/ROW]
[ROW][C]41[/C][C]-0.198534[/C][C]-1.6846[/C][C]0.048197[/C][/ROW]
[ROW][C]42[/C][C]-0.288163[/C][C]-2.4451[/C][C]0.008463[/C][/ROW]
[ROW][C]43[/C][C]-0.264801[/C][C]-2.2469[/C][C]0.013856[/C][/ROW]
[ROW][C]44[/C][C]-0.184375[/C][C]-1.5645[/C][C]0.061046[/C][/ROW]
[ROW][C]45[/C][C]-0.111143[/C][C]-0.9431[/C][C]0.174396[/C][/ROW]
[ROW][C]46[/C][C]-0.093729[/C][C]-0.7953[/C][C]0.214522[/C][/ROW]
[ROW][C]47[/C][C]-0.016842[/C][C]-0.1429[/C][C]0.443382[/C][/ROW]
[ROW][C]48[/C][C]0.019057[/C][C]0.1617[/C][C]0.435995[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36872&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36872&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
10.6804065.77340
20.4709723.99637.7e-05
30.3559133.020.001748
40.1927151.63520.053182
50.1180851.0020.159854
60.0808650.68620.247407
70.1591051.35010.090614
80.2769882.35030.01075
90.3331612.8270.00304
100.3739943.17340.001108
110.3369572.85920.002776
120.3824873.24550.00089
130.2769422.34990.010761
140.1577311.33840.09249
150.0683930.58030.281749
16-0.009043-0.07670.469524
17-0.02003-0.170.432758
18-0.01297-0.11010.456336
19-0.023067-0.19570.422687
20-0.041622-0.35320.362495
21-0.118339-1.00410.159336
22-0.167356-1.42010.079953
23-0.121069-1.02730.153858
24-0.065138-0.55270.291085
25-0.085177-0.72270.236088
26-0.048837-0.41440.339907
27-0.036642-0.31090.378382
28-0.134969-1.14530.127948
29-0.231054-1.96060.0269
30-0.275137-2.33460.011178
31-0.321944-2.73180.003959
32-0.327546-2.77930.003472
33-0.322596-2.73730.003899
34-0.30683-2.60350.005599
35-0.181233-1.53780.064239
36-0.126351-1.07210.143623
37-0.08204-0.69610.244295
38-0.065909-0.55930.288861
39-0.104207-0.88420.189759
40-0.114244-0.96940.167797
41-0.198534-1.68460.048197
42-0.288163-2.44510.008463
43-0.264801-2.24690.013856
44-0.184375-1.56450.061046
45-0.111143-0.94310.174396
46-0.093729-0.79530.214522
47-0.016842-0.14290.443382
480.0190570.16170.435995







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6804065.77340
20.0149310.12670.449766
30.0560330.47550.31795
4-0.136399-1.15740.125471
50.03840.32580.372747
60.007450.06320.474885
70.2213621.87830.032193
80.1812971.53840.064173
90.0831210.70530.241449
100.0605490.51380.304492
11-0.046605-0.39550.346838
120.2259541.91730.029585
13-0.142151-1.20620.115847
14-0.006911-0.05860.476701
15-0.150736-1.2790.102496
16-0.031323-0.26580.395582
17-0.0401-0.34030.367325
180.0060460.05130.479615
19-0.122404-1.03860.151226
20-0.193578-1.64260.052417
21-0.241163-2.04630.022188
22-0.172116-1.46050.074257
230.1867851.58490.058683
240.067120.56950.285385
25-0.039542-0.33550.369103
26-0.013446-0.11410.454739
27-0.000219-0.00190.499261
28-0.113896-0.96640.16853
29-0.015349-0.13020.448369
300.0509070.4320.333529
31-0.055135-0.46780.320657
32-0.004221-0.03580.485764
33-0.026007-0.22070.412983
340.0212160.180.42882
350.1474361.2510.107486
36-0.099412-0.84350.200862
370.0727750.61750.269421
38-0.059145-0.50190.308647
390.0375580.31870.375443
400.153941.30620.097817
41-0.000974-0.00830.496714
42-0.183811-1.55970.06161
43-0.049789-0.42250.336968
440.1312031.11330.134642
450.0924610.78460.217643
460.0448230.38030.352407
47-0.092592-0.78570.21732
48-0.048498-0.41150.340958

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.680406 & 5.7734 & 0 \tabularnewline
2 & 0.014931 & 0.1267 & 0.449766 \tabularnewline
3 & 0.056033 & 0.4755 & 0.31795 \tabularnewline
4 & -0.136399 & -1.1574 & 0.125471 \tabularnewline
5 & 0.0384 & 0.3258 & 0.372747 \tabularnewline
6 & 0.00745 & 0.0632 & 0.474885 \tabularnewline
7 & 0.221362 & 1.8783 & 0.032193 \tabularnewline
8 & 0.181297 & 1.5384 & 0.064173 \tabularnewline
9 & 0.083121 & 0.7053 & 0.241449 \tabularnewline
10 & 0.060549 & 0.5138 & 0.304492 \tabularnewline
11 & -0.046605 & -0.3955 & 0.346838 \tabularnewline
12 & 0.225954 & 1.9173 & 0.029585 \tabularnewline
13 & -0.142151 & -1.2062 & 0.115847 \tabularnewline
14 & -0.006911 & -0.0586 & 0.476701 \tabularnewline
15 & -0.150736 & -1.279 & 0.102496 \tabularnewline
16 & -0.031323 & -0.2658 & 0.395582 \tabularnewline
17 & -0.0401 & -0.3403 & 0.367325 \tabularnewline
18 & 0.006046 & 0.0513 & 0.479615 \tabularnewline
19 & -0.122404 & -1.0386 & 0.151226 \tabularnewline
20 & -0.193578 & -1.6426 & 0.052417 \tabularnewline
21 & -0.241163 & -2.0463 & 0.022188 \tabularnewline
22 & -0.172116 & -1.4605 & 0.074257 \tabularnewline
23 & 0.186785 & 1.5849 & 0.058683 \tabularnewline
24 & 0.06712 & 0.5695 & 0.285385 \tabularnewline
25 & -0.039542 & -0.3355 & 0.369103 \tabularnewline
26 & -0.013446 & -0.1141 & 0.454739 \tabularnewline
27 & -0.000219 & -0.0019 & 0.499261 \tabularnewline
28 & -0.113896 & -0.9664 & 0.16853 \tabularnewline
29 & -0.015349 & -0.1302 & 0.448369 \tabularnewline
30 & 0.050907 & 0.432 & 0.333529 \tabularnewline
31 & -0.055135 & -0.4678 & 0.320657 \tabularnewline
32 & -0.004221 & -0.0358 & 0.485764 \tabularnewline
33 & -0.026007 & -0.2207 & 0.412983 \tabularnewline
34 & 0.021216 & 0.18 & 0.42882 \tabularnewline
35 & 0.147436 & 1.251 & 0.107486 \tabularnewline
36 & -0.099412 & -0.8435 & 0.200862 \tabularnewline
37 & 0.072775 & 0.6175 & 0.269421 \tabularnewline
38 & -0.059145 & -0.5019 & 0.308647 \tabularnewline
39 & 0.037558 & 0.3187 & 0.375443 \tabularnewline
40 & 0.15394 & 1.3062 & 0.097817 \tabularnewline
41 & -0.000974 & -0.0083 & 0.496714 \tabularnewline
42 & -0.183811 & -1.5597 & 0.06161 \tabularnewline
43 & -0.049789 & -0.4225 & 0.336968 \tabularnewline
44 & 0.131203 & 1.1133 & 0.134642 \tabularnewline
45 & 0.092461 & 0.7846 & 0.217643 \tabularnewline
46 & 0.044823 & 0.3803 & 0.352407 \tabularnewline
47 & -0.092592 & -0.7857 & 0.21732 \tabularnewline
48 & -0.048498 & -0.4115 & 0.340958 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36872&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]0.680406[/C][C]5.7734[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.014931[/C][C]0.1267[/C][C]0.449766[/C][/ROW]
[ROW][C]3[/C][C]0.056033[/C][C]0.4755[/C][C]0.31795[/C][/ROW]
[ROW][C]4[/C][C]-0.136399[/C][C]-1.1574[/C][C]0.125471[/C][/ROW]
[ROW][C]5[/C][C]0.0384[/C][C]0.3258[/C][C]0.372747[/C][/ROW]
[ROW][C]6[/C][C]0.00745[/C][C]0.0632[/C][C]0.474885[/C][/ROW]
[ROW][C]7[/C][C]0.221362[/C][C]1.8783[/C][C]0.032193[/C][/ROW]
[ROW][C]8[/C][C]0.181297[/C][C]1.5384[/C][C]0.064173[/C][/ROW]
[ROW][C]9[/C][C]0.083121[/C][C]0.7053[/C][C]0.241449[/C][/ROW]
[ROW][C]10[/C][C]0.060549[/C][C]0.5138[/C][C]0.304492[/C][/ROW]
[ROW][C]11[/C][C]-0.046605[/C][C]-0.3955[/C][C]0.346838[/C][/ROW]
[ROW][C]12[/C][C]0.225954[/C][C]1.9173[/C][C]0.029585[/C][/ROW]
[ROW][C]13[/C][C]-0.142151[/C][C]-1.2062[/C][C]0.115847[/C][/ROW]
[ROW][C]14[/C][C]-0.006911[/C][C]-0.0586[/C][C]0.476701[/C][/ROW]
[ROW][C]15[/C][C]-0.150736[/C][C]-1.279[/C][C]0.102496[/C][/ROW]
[ROW][C]16[/C][C]-0.031323[/C][C]-0.2658[/C][C]0.395582[/C][/ROW]
[ROW][C]17[/C][C]-0.0401[/C][C]-0.3403[/C][C]0.367325[/C][/ROW]
[ROW][C]18[/C][C]0.006046[/C][C]0.0513[/C][C]0.479615[/C][/ROW]
[ROW][C]19[/C][C]-0.122404[/C][C]-1.0386[/C][C]0.151226[/C][/ROW]
[ROW][C]20[/C][C]-0.193578[/C][C]-1.6426[/C][C]0.052417[/C][/ROW]
[ROW][C]21[/C][C]-0.241163[/C][C]-2.0463[/C][C]0.022188[/C][/ROW]
[ROW][C]22[/C][C]-0.172116[/C][C]-1.4605[/C][C]0.074257[/C][/ROW]
[ROW][C]23[/C][C]0.186785[/C][C]1.5849[/C][C]0.058683[/C][/ROW]
[ROW][C]24[/C][C]0.06712[/C][C]0.5695[/C][C]0.285385[/C][/ROW]
[ROW][C]25[/C][C]-0.039542[/C][C]-0.3355[/C][C]0.369103[/C][/ROW]
[ROW][C]26[/C][C]-0.013446[/C][C]-0.1141[/C][C]0.454739[/C][/ROW]
[ROW][C]27[/C][C]-0.000219[/C][C]-0.0019[/C][C]0.499261[/C][/ROW]
[ROW][C]28[/C][C]-0.113896[/C][C]-0.9664[/C][C]0.16853[/C][/ROW]
[ROW][C]29[/C][C]-0.015349[/C][C]-0.1302[/C][C]0.448369[/C][/ROW]
[ROW][C]30[/C][C]0.050907[/C][C]0.432[/C][C]0.333529[/C][/ROW]
[ROW][C]31[/C][C]-0.055135[/C][C]-0.4678[/C][C]0.320657[/C][/ROW]
[ROW][C]32[/C][C]-0.004221[/C][C]-0.0358[/C][C]0.485764[/C][/ROW]
[ROW][C]33[/C][C]-0.026007[/C][C]-0.2207[/C][C]0.412983[/C][/ROW]
[ROW][C]34[/C][C]0.021216[/C][C]0.18[/C][C]0.42882[/C][/ROW]
[ROW][C]35[/C][C]0.147436[/C][C]1.251[/C][C]0.107486[/C][/ROW]
[ROW][C]36[/C][C]-0.099412[/C][C]-0.8435[/C][C]0.200862[/C][/ROW]
[ROW][C]37[/C][C]0.072775[/C][C]0.6175[/C][C]0.269421[/C][/ROW]
[ROW][C]38[/C][C]-0.059145[/C][C]-0.5019[/C][C]0.308647[/C][/ROW]
[ROW][C]39[/C][C]0.037558[/C][C]0.3187[/C][C]0.375443[/C][/ROW]
[ROW][C]40[/C][C]0.15394[/C][C]1.3062[/C][C]0.097817[/C][/ROW]
[ROW][C]41[/C][C]-0.000974[/C][C]-0.0083[/C][C]0.496714[/C][/ROW]
[ROW][C]42[/C][C]-0.183811[/C][C]-1.5597[/C][C]0.06161[/C][/ROW]
[ROW][C]43[/C][C]-0.049789[/C][C]-0.4225[/C][C]0.336968[/C][/ROW]
[ROW][C]44[/C][C]0.131203[/C][C]1.1133[/C][C]0.134642[/C][/ROW]
[ROW][C]45[/C][C]0.092461[/C][C]0.7846[/C][C]0.217643[/C][/ROW]
[ROW][C]46[/C][C]0.044823[/C][C]0.3803[/C][C]0.352407[/C][/ROW]
[ROW][C]47[/C][C]-0.092592[/C][C]-0.7857[/C][C]0.21732[/C][/ROW]
[ROW][C]48[/C][C]-0.048498[/C][C]-0.4115[/C][C]0.340958[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36872&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36872&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
10.6804065.77340
20.0149310.12670.449766
30.0560330.47550.31795
4-0.136399-1.15740.125471
50.03840.32580.372747
60.007450.06320.474885
70.2213621.87830.032193
80.1812971.53840.064173
90.0831210.70530.241449
100.0605490.51380.304492
11-0.046605-0.39550.346838
120.2259541.91730.029585
13-0.142151-1.20620.115847
14-0.006911-0.05860.476701
15-0.150736-1.2790.102496
16-0.031323-0.26580.395582
17-0.0401-0.34030.367325
180.0060460.05130.479615
19-0.122404-1.03860.151226
20-0.193578-1.64260.052417
21-0.241163-2.04630.022188
22-0.172116-1.46050.074257
230.1867851.58490.058683
240.067120.56950.285385
25-0.039542-0.33550.369103
26-0.013446-0.11410.454739
27-0.000219-0.00190.499261
28-0.113896-0.96640.16853
29-0.015349-0.13020.448369
300.0509070.4320.333529
31-0.055135-0.46780.320657
32-0.004221-0.03580.485764
33-0.026007-0.22070.412983
340.0212160.180.42882
350.1474361.2510.107486
36-0.099412-0.84350.200862
370.0727750.61750.269421
38-0.059145-0.50190.308647
390.0375580.31870.375443
400.153941.30620.097817
41-0.000974-0.00830.496714
42-0.183811-1.55970.06161
43-0.049789-0.42250.336968
440.1312031.11330.134642
450.0924610.78460.217643
460.0448230.38030.352407
47-0.092592-0.78570.21732
48-0.048498-0.41150.340958



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')