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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, 16 Dec 2009 02:10:42 -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/Dec/16/t12609547230iqyav4vuob8yvk.htm/, Retrieved Tue, 30 Apr 2024 16:44:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68228, Retrieved Tue, 30 Apr 2024 16:44:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2009-12-16 09:10:42] [461523bf9c5715e033e9a40193969321] [Current]
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Dataseries X:
0,62
0,62
0,62
0,63
0,62
0,63
0,63
0,62
0,63
0,63
0,63
0,64
0,64
0,64
0,64
0,64
0,64
0,64
0,64
0,63
0,64
0,64
0,64
0,64
0,64
0,64
0,64
0,64
0,64
0,64
0,64
0,64
0,65
0,65
0,65
0,65
0,65
0,65
0,66
0,66
0,66
0,66
0,68
0,69
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,71
0,7
0,71
0,7
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,7
0,71
0,71
0,7
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,7
0,7
0,68
0,68
0,69
0,69
0,7
0,7
0,7
0,7
0,7
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,71
0,76
0,77
0,78
0,85
0,89
0,9
0,91
0,91
0,91
0,9
0,89
0,88
0,87
0,86
0,87
0,87
0,87
0,85




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=68228&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=68228&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68228&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
10.96914511.13460
20.92769810.65840
30.88124810.12480
40.8291349.5260
50.7751028.90520
60.7196038.26760
70.6625617.61220
80.60396.93830
90.545986.27280
100.487845.60490
110.4307324.94871e-06
120.3747294.30531.6e-05
130.3208573.68640.000166
140.2702953.10550.001163
150.2291432.63270.004741
160.2021772.32280.010859
170.1769012.03240.022058
180.1543451.77330.039244
190.1431831.64510.051169
200.1300331.4940.068785
210.1185771.36240.087704
220.1088881.2510.106569
230.1002281.15150.125797
240.0928931.06730.143901
250.0865880.99480.160821
260.0807250.92750.17769
270.075450.86690.193796
280.0718660.82570.205239
290.068870.79130.215107
300.0652860.75010.227272
310.0611130.70210.241917
320.0566450.65080.258153
330.0549740.63160.26437
340.0535970.61580.26955
350.0546460.62780.265599
360.0531930.61110.271078
370.0479190.55050.291439
380.0422020.48490.314287
390.0348720.40060.344664
400.0273940.31470.37673
410.0190330.21870.41362
420.0106730.12260.451297
430.0045240.0520.479313
44-7.7e-05-9e-040.499646
45-0.002542-0.02920.488371
46-0.005007-0.05750.477104
47-0.007178-0.08250.467198
48-0.008613-0.0990.460661

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.969145 & 11.1346 & 0 \tabularnewline
2 & 0.927698 & 10.6584 & 0 \tabularnewline
3 & 0.881248 & 10.1248 & 0 \tabularnewline
4 & 0.829134 & 9.526 & 0 \tabularnewline
5 & 0.775102 & 8.9052 & 0 \tabularnewline
6 & 0.719603 & 8.2676 & 0 \tabularnewline
7 & 0.662561 & 7.6122 & 0 \tabularnewline
8 & 0.6039 & 6.9383 & 0 \tabularnewline
9 & 0.54598 & 6.2728 & 0 \tabularnewline
10 & 0.48784 & 5.6049 & 0 \tabularnewline
11 & 0.430732 & 4.9487 & 1e-06 \tabularnewline
12 & 0.374729 & 4.3053 & 1.6e-05 \tabularnewline
13 & 0.320857 & 3.6864 & 0.000166 \tabularnewline
14 & 0.270295 & 3.1055 & 0.001163 \tabularnewline
15 & 0.229143 & 2.6327 & 0.004741 \tabularnewline
16 & 0.202177 & 2.3228 & 0.010859 \tabularnewline
17 & 0.176901 & 2.0324 & 0.022058 \tabularnewline
18 & 0.154345 & 1.7733 & 0.039244 \tabularnewline
19 & 0.143183 & 1.6451 & 0.051169 \tabularnewline
20 & 0.130033 & 1.494 & 0.068785 \tabularnewline
21 & 0.118577 & 1.3624 & 0.087704 \tabularnewline
22 & 0.108888 & 1.251 & 0.106569 \tabularnewline
23 & 0.100228 & 1.1515 & 0.125797 \tabularnewline
24 & 0.092893 & 1.0673 & 0.143901 \tabularnewline
25 & 0.086588 & 0.9948 & 0.160821 \tabularnewline
26 & 0.080725 & 0.9275 & 0.17769 \tabularnewline
27 & 0.07545 & 0.8669 & 0.193796 \tabularnewline
28 & 0.071866 & 0.8257 & 0.205239 \tabularnewline
29 & 0.06887 & 0.7913 & 0.215107 \tabularnewline
30 & 0.065286 & 0.7501 & 0.227272 \tabularnewline
31 & 0.061113 & 0.7021 & 0.241917 \tabularnewline
32 & 0.056645 & 0.6508 & 0.258153 \tabularnewline
33 & 0.054974 & 0.6316 & 0.26437 \tabularnewline
34 & 0.053597 & 0.6158 & 0.26955 \tabularnewline
35 & 0.054646 & 0.6278 & 0.265599 \tabularnewline
36 & 0.053193 & 0.6111 & 0.271078 \tabularnewline
37 & 0.047919 & 0.5505 & 0.291439 \tabularnewline
38 & 0.042202 & 0.4849 & 0.314287 \tabularnewline
39 & 0.034872 & 0.4006 & 0.344664 \tabularnewline
40 & 0.027394 & 0.3147 & 0.37673 \tabularnewline
41 & 0.019033 & 0.2187 & 0.41362 \tabularnewline
42 & 0.010673 & 0.1226 & 0.451297 \tabularnewline
43 & 0.004524 & 0.052 & 0.479313 \tabularnewline
44 & -7.7e-05 & -9e-04 & 0.499646 \tabularnewline
45 & -0.002542 & -0.0292 & 0.488371 \tabularnewline
46 & -0.005007 & -0.0575 & 0.477104 \tabularnewline
47 & -0.007178 & -0.0825 & 0.467198 \tabularnewline
48 & -0.008613 & -0.099 & 0.460661 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68228&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]0.969145[/C][C]11.1346[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.927698[/C][C]10.6584[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.881248[/C][C]10.1248[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.829134[/C][C]9.526[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.775102[/C][C]8.9052[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.719603[/C][C]8.2676[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.662561[/C][C]7.6122[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.6039[/C][C]6.9383[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.54598[/C][C]6.2728[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.48784[/C][C]5.6049[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.430732[/C][C]4.9487[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.374729[/C][C]4.3053[/C][C]1.6e-05[/C][/ROW]
[ROW][C]13[/C][C]0.320857[/C][C]3.6864[/C][C]0.000166[/C][/ROW]
[ROW][C]14[/C][C]0.270295[/C][C]3.1055[/C][C]0.001163[/C][/ROW]
[ROW][C]15[/C][C]0.229143[/C][C]2.6327[/C][C]0.004741[/C][/ROW]
[ROW][C]16[/C][C]0.202177[/C][C]2.3228[/C][C]0.010859[/C][/ROW]
[ROW][C]17[/C][C]0.176901[/C][C]2.0324[/C][C]0.022058[/C][/ROW]
[ROW][C]18[/C][C]0.154345[/C][C]1.7733[/C][C]0.039244[/C][/ROW]
[ROW][C]19[/C][C]0.143183[/C][C]1.6451[/C][C]0.051169[/C][/ROW]
[ROW][C]20[/C][C]0.130033[/C][C]1.494[/C][C]0.068785[/C][/ROW]
[ROW][C]21[/C][C]0.118577[/C][C]1.3624[/C][C]0.087704[/C][/ROW]
[ROW][C]22[/C][C]0.108888[/C][C]1.251[/C][C]0.106569[/C][/ROW]
[ROW][C]23[/C][C]0.100228[/C][C]1.1515[/C][C]0.125797[/C][/ROW]
[ROW][C]24[/C][C]0.092893[/C][C]1.0673[/C][C]0.143901[/C][/ROW]
[ROW][C]25[/C][C]0.086588[/C][C]0.9948[/C][C]0.160821[/C][/ROW]
[ROW][C]26[/C][C]0.080725[/C][C]0.9275[/C][C]0.17769[/C][/ROW]
[ROW][C]27[/C][C]0.07545[/C][C]0.8669[/C][C]0.193796[/C][/ROW]
[ROW][C]28[/C][C]0.071866[/C][C]0.8257[/C][C]0.205239[/C][/ROW]
[ROW][C]29[/C][C]0.06887[/C][C]0.7913[/C][C]0.215107[/C][/ROW]
[ROW][C]30[/C][C]0.065286[/C][C]0.7501[/C][C]0.227272[/C][/ROW]
[ROW][C]31[/C][C]0.061113[/C][C]0.7021[/C][C]0.241917[/C][/ROW]
[ROW][C]32[/C][C]0.056645[/C][C]0.6508[/C][C]0.258153[/C][/ROW]
[ROW][C]33[/C][C]0.054974[/C][C]0.6316[/C][C]0.26437[/C][/ROW]
[ROW][C]34[/C][C]0.053597[/C][C]0.6158[/C][C]0.26955[/C][/ROW]
[ROW][C]35[/C][C]0.054646[/C][C]0.6278[/C][C]0.265599[/C][/ROW]
[ROW][C]36[/C][C]0.053193[/C][C]0.6111[/C][C]0.271078[/C][/ROW]
[ROW][C]37[/C][C]0.047919[/C][C]0.5505[/C][C]0.291439[/C][/ROW]
[ROW][C]38[/C][C]0.042202[/C][C]0.4849[/C][C]0.314287[/C][/ROW]
[ROW][C]39[/C][C]0.034872[/C][C]0.4006[/C][C]0.344664[/C][/ROW]
[ROW][C]40[/C][C]0.027394[/C][C]0.3147[/C][C]0.37673[/C][/ROW]
[ROW][C]41[/C][C]0.019033[/C][C]0.2187[/C][C]0.41362[/C][/ROW]
[ROW][C]42[/C][C]0.010673[/C][C]0.1226[/C][C]0.451297[/C][/ROW]
[ROW][C]43[/C][C]0.004524[/C][C]0.052[/C][C]0.479313[/C][/ROW]
[ROW][C]44[/C][C]-7.7e-05[/C][C]-9e-04[/C][C]0.499646[/C][/ROW]
[ROW][C]45[/C][C]-0.002542[/C][C]-0.0292[/C][C]0.488371[/C][/ROW]
[ROW][C]46[/C][C]-0.005007[/C][C]-0.0575[/C][C]0.477104[/C][/ROW]
[ROW][C]47[/C][C]-0.007178[/C][C]-0.0825[/C][C]0.467198[/C][/ROW]
[ROW][C]48[/C][C]-0.008613[/C][C]-0.099[/C][C]0.460661[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68228&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68228&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
10.96914511.13460
20.92769810.65840
30.88124810.12480
40.8291349.5260
50.7751028.90520
60.7196038.26760
70.6625617.61220
80.60396.93830
90.545986.27280
100.487845.60490
110.4307324.94871e-06
120.3747294.30531.6e-05
130.3208573.68640.000166
140.2702953.10550.001163
150.2291432.63270.004741
160.2021772.32280.010859
170.1769012.03240.022058
180.1543451.77330.039244
190.1431831.64510.051169
200.1300331.4940.068785
210.1185771.36240.087704
220.1088881.2510.106569
230.1002281.15150.125797
240.0928931.06730.143901
250.0865880.99480.160821
260.0807250.92750.17769
270.075450.86690.193796
280.0718660.82570.205239
290.068870.79130.215107
300.0652860.75010.227272
310.0611130.70210.241917
320.0566450.65080.258153
330.0549740.63160.26437
340.0535970.61580.26955
350.0546460.62780.265599
360.0531930.61110.271078
370.0479190.55050.291439
380.0422020.48490.314287
390.0348720.40060.344664
400.0273940.31470.37673
410.0190330.21870.41362
420.0106730.12260.451297
430.0045240.0520.479313
44-7.7e-05-9e-040.499646
45-0.002542-0.02920.488371
46-0.005007-0.05750.477104
47-0.007178-0.08250.467198
48-0.008613-0.0990.460661







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.96914511.13460
2-0.189994-2.18290.015407
3-0.077063-0.88540.18878
4-0.099505-1.14320.127506
5-0.031664-0.36380.358297
6-0.04155-0.47740.316942
7-0.046239-0.53120.29807
8-0.053314-0.61250.270619
9-0.013281-0.15260.439478
10-0.041957-0.4820.315285
11-0.018346-0.21080.416693
12-0.028123-0.32310.373562
13-0.008941-0.10270.459168
140.003340.03840.484722
150.1050171.20660.114882
160.1618761.85980.032569
17-0.079006-0.90770.182841
18-0.019746-0.22690.410442
190.1395181.60290.05567
20-0.11753-1.35030.089612
21-0.00406-0.04660.481434
22-0.022911-0.26320.396392
23-0.010396-0.11940.452553
24-0.003332-0.03830.484763
25-0.016545-0.19010.424768
26-0.018102-0.2080.417784
27-0.000564-0.00650.497419
280.0131710.15130.439975
290.0174120.20.420875
300.012540.14410.442832
310.0081430.09360.462802
32-0.02745-0.31540.376488
330.0848310.97460.165762
340.0260320.29910.382675
35-0.019862-0.22820.409923
36-0.058194-0.66860.252461
37-0.038184-0.43870.330798
38-0.027042-0.31070.378263
39-0.015132-0.17390.431123
40-0.009335-0.10730.457376
41-0.021301-0.24470.403525
420.0080890.09290.463048
430.0518540.59580.276178
440.0131380.15090.440124
450.0283920.32620.372394
46-0.014019-0.16110.436143
470.0104470.120.452322
480.0397280.45640.32441

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.969145 & 11.1346 & 0 \tabularnewline
2 & -0.189994 & -2.1829 & 0.015407 \tabularnewline
3 & -0.077063 & -0.8854 & 0.18878 \tabularnewline
4 & -0.099505 & -1.1432 & 0.127506 \tabularnewline
5 & -0.031664 & -0.3638 & 0.358297 \tabularnewline
6 & -0.04155 & -0.4774 & 0.316942 \tabularnewline
7 & -0.046239 & -0.5312 & 0.29807 \tabularnewline
8 & -0.053314 & -0.6125 & 0.270619 \tabularnewline
9 & -0.013281 & -0.1526 & 0.439478 \tabularnewline
10 & -0.041957 & -0.482 & 0.315285 \tabularnewline
11 & -0.018346 & -0.2108 & 0.416693 \tabularnewline
12 & -0.028123 & -0.3231 & 0.373562 \tabularnewline
13 & -0.008941 & -0.1027 & 0.459168 \tabularnewline
14 & 0.00334 & 0.0384 & 0.484722 \tabularnewline
15 & 0.105017 & 1.2066 & 0.114882 \tabularnewline
16 & 0.161876 & 1.8598 & 0.032569 \tabularnewline
17 & -0.079006 & -0.9077 & 0.182841 \tabularnewline
18 & -0.019746 & -0.2269 & 0.410442 \tabularnewline
19 & 0.139518 & 1.6029 & 0.05567 \tabularnewline
20 & -0.11753 & -1.3503 & 0.089612 \tabularnewline
21 & -0.00406 & -0.0466 & 0.481434 \tabularnewline
22 & -0.022911 & -0.2632 & 0.396392 \tabularnewline
23 & -0.010396 & -0.1194 & 0.452553 \tabularnewline
24 & -0.003332 & -0.0383 & 0.484763 \tabularnewline
25 & -0.016545 & -0.1901 & 0.424768 \tabularnewline
26 & -0.018102 & -0.208 & 0.417784 \tabularnewline
27 & -0.000564 & -0.0065 & 0.497419 \tabularnewline
28 & 0.013171 & 0.1513 & 0.439975 \tabularnewline
29 & 0.017412 & 0.2 & 0.420875 \tabularnewline
30 & 0.01254 & 0.1441 & 0.442832 \tabularnewline
31 & 0.008143 & 0.0936 & 0.462802 \tabularnewline
32 & -0.02745 & -0.3154 & 0.376488 \tabularnewline
33 & 0.084831 & 0.9746 & 0.165762 \tabularnewline
34 & 0.026032 & 0.2991 & 0.382675 \tabularnewline
35 & -0.019862 & -0.2282 & 0.409923 \tabularnewline
36 & -0.058194 & -0.6686 & 0.252461 \tabularnewline
37 & -0.038184 & -0.4387 & 0.330798 \tabularnewline
38 & -0.027042 & -0.3107 & 0.378263 \tabularnewline
39 & -0.015132 & -0.1739 & 0.431123 \tabularnewline
40 & -0.009335 & -0.1073 & 0.457376 \tabularnewline
41 & -0.021301 & -0.2447 & 0.403525 \tabularnewline
42 & 0.008089 & 0.0929 & 0.463048 \tabularnewline
43 & 0.051854 & 0.5958 & 0.276178 \tabularnewline
44 & 0.013138 & 0.1509 & 0.440124 \tabularnewline
45 & 0.028392 & 0.3262 & 0.372394 \tabularnewline
46 & -0.014019 & -0.1611 & 0.436143 \tabularnewline
47 & 0.010447 & 0.12 & 0.452322 \tabularnewline
48 & 0.039728 & 0.4564 & 0.32441 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68228&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]0.969145[/C][C]11.1346[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.189994[/C][C]-2.1829[/C][C]0.015407[/C][/ROW]
[ROW][C]3[/C][C]-0.077063[/C][C]-0.8854[/C][C]0.18878[/C][/ROW]
[ROW][C]4[/C][C]-0.099505[/C][C]-1.1432[/C][C]0.127506[/C][/ROW]
[ROW][C]5[/C][C]-0.031664[/C][C]-0.3638[/C][C]0.358297[/C][/ROW]
[ROW][C]6[/C][C]-0.04155[/C][C]-0.4774[/C][C]0.316942[/C][/ROW]
[ROW][C]7[/C][C]-0.046239[/C][C]-0.5312[/C][C]0.29807[/C][/ROW]
[ROW][C]8[/C][C]-0.053314[/C][C]-0.6125[/C][C]0.270619[/C][/ROW]
[ROW][C]9[/C][C]-0.013281[/C][C]-0.1526[/C][C]0.439478[/C][/ROW]
[ROW][C]10[/C][C]-0.041957[/C][C]-0.482[/C][C]0.315285[/C][/ROW]
[ROW][C]11[/C][C]-0.018346[/C][C]-0.2108[/C][C]0.416693[/C][/ROW]
[ROW][C]12[/C][C]-0.028123[/C][C]-0.3231[/C][C]0.373562[/C][/ROW]
[ROW][C]13[/C][C]-0.008941[/C][C]-0.1027[/C][C]0.459168[/C][/ROW]
[ROW][C]14[/C][C]0.00334[/C][C]0.0384[/C][C]0.484722[/C][/ROW]
[ROW][C]15[/C][C]0.105017[/C][C]1.2066[/C][C]0.114882[/C][/ROW]
[ROW][C]16[/C][C]0.161876[/C][C]1.8598[/C][C]0.032569[/C][/ROW]
[ROW][C]17[/C][C]-0.079006[/C][C]-0.9077[/C][C]0.182841[/C][/ROW]
[ROW][C]18[/C][C]-0.019746[/C][C]-0.2269[/C][C]0.410442[/C][/ROW]
[ROW][C]19[/C][C]0.139518[/C][C]1.6029[/C][C]0.05567[/C][/ROW]
[ROW][C]20[/C][C]-0.11753[/C][C]-1.3503[/C][C]0.089612[/C][/ROW]
[ROW][C]21[/C][C]-0.00406[/C][C]-0.0466[/C][C]0.481434[/C][/ROW]
[ROW][C]22[/C][C]-0.022911[/C][C]-0.2632[/C][C]0.396392[/C][/ROW]
[ROW][C]23[/C][C]-0.010396[/C][C]-0.1194[/C][C]0.452553[/C][/ROW]
[ROW][C]24[/C][C]-0.003332[/C][C]-0.0383[/C][C]0.484763[/C][/ROW]
[ROW][C]25[/C][C]-0.016545[/C][C]-0.1901[/C][C]0.424768[/C][/ROW]
[ROW][C]26[/C][C]-0.018102[/C][C]-0.208[/C][C]0.417784[/C][/ROW]
[ROW][C]27[/C][C]-0.000564[/C][C]-0.0065[/C][C]0.497419[/C][/ROW]
[ROW][C]28[/C][C]0.013171[/C][C]0.1513[/C][C]0.439975[/C][/ROW]
[ROW][C]29[/C][C]0.017412[/C][C]0.2[/C][C]0.420875[/C][/ROW]
[ROW][C]30[/C][C]0.01254[/C][C]0.1441[/C][C]0.442832[/C][/ROW]
[ROW][C]31[/C][C]0.008143[/C][C]0.0936[/C][C]0.462802[/C][/ROW]
[ROW][C]32[/C][C]-0.02745[/C][C]-0.3154[/C][C]0.376488[/C][/ROW]
[ROW][C]33[/C][C]0.084831[/C][C]0.9746[/C][C]0.165762[/C][/ROW]
[ROW][C]34[/C][C]0.026032[/C][C]0.2991[/C][C]0.382675[/C][/ROW]
[ROW][C]35[/C][C]-0.019862[/C][C]-0.2282[/C][C]0.409923[/C][/ROW]
[ROW][C]36[/C][C]-0.058194[/C][C]-0.6686[/C][C]0.252461[/C][/ROW]
[ROW][C]37[/C][C]-0.038184[/C][C]-0.4387[/C][C]0.330798[/C][/ROW]
[ROW][C]38[/C][C]-0.027042[/C][C]-0.3107[/C][C]0.378263[/C][/ROW]
[ROW][C]39[/C][C]-0.015132[/C][C]-0.1739[/C][C]0.431123[/C][/ROW]
[ROW][C]40[/C][C]-0.009335[/C][C]-0.1073[/C][C]0.457376[/C][/ROW]
[ROW][C]41[/C][C]-0.021301[/C][C]-0.2447[/C][C]0.403525[/C][/ROW]
[ROW][C]42[/C][C]0.008089[/C][C]0.0929[/C][C]0.463048[/C][/ROW]
[ROW][C]43[/C][C]0.051854[/C][C]0.5958[/C][C]0.276178[/C][/ROW]
[ROW][C]44[/C][C]0.013138[/C][C]0.1509[/C][C]0.440124[/C][/ROW]
[ROW][C]45[/C][C]0.028392[/C][C]0.3262[/C][C]0.372394[/C][/ROW]
[ROW][C]46[/C][C]-0.014019[/C][C]-0.1611[/C][C]0.436143[/C][/ROW]
[ROW][C]47[/C][C]0.010447[/C][C]0.12[/C][C]0.452322[/C][/ROW]
[ROW][C]48[/C][C]0.039728[/C][C]0.4564[/C][C]0.32441[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68228&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68228&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
10.96914511.13460
2-0.189994-2.18290.015407
3-0.077063-0.88540.18878
4-0.099505-1.14320.127506
5-0.031664-0.36380.358297
6-0.04155-0.47740.316942
7-0.046239-0.53120.29807
8-0.053314-0.61250.270619
9-0.013281-0.15260.439478
10-0.041957-0.4820.315285
11-0.018346-0.21080.416693
12-0.028123-0.32310.373562
13-0.008941-0.10270.459168
140.003340.03840.484722
150.1050171.20660.114882
160.1618761.85980.032569
17-0.079006-0.90770.182841
18-0.019746-0.22690.410442
190.1395181.60290.05567
20-0.11753-1.35030.089612
21-0.00406-0.04660.481434
22-0.022911-0.26320.396392
23-0.010396-0.11940.452553
24-0.003332-0.03830.484763
25-0.016545-0.19010.424768
26-0.018102-0.2080.417784
27-0.000564-0.00650.497419
280.0131710.15130.439975
290.0174120.20.420875
300.012540.14410.442832
310.0081430.09360.462802
32-0.02745-0.31540.376488
330.0848310.97460.165762
340.0260320.29910.382675
35-0.019862-0.22820.409923
36-0.058194-0.66860.252461
37-0.038184-0.43870.330798
38-0.027042-0.31070.378263
39-0.015132-0.17390.431123
40-0.009335-0.10730.457376
41-0.021301-0.24470.403525
420.0080890.09290.463048
430.0518540.59580.276178
440.0131380.15090.440124
450.0283920.32620.372394
46-0.014019-0.16110.436143
470.0104470.120.452322
480.0397280.45640.32441



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')