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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 02:52:16 -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/29/t11963294090hfxg6uou6997q0.htm/, Retrieved Fri, 03 May 2024 10:59:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7326, Retrieved Fri, 03 May 2024 10:59:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsChristel Stuer, Steven Coomans
Estimated Impact236
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [WS 4 - Q2 - metho...] [2007-11-29 09:52:16] [7071e8240f1069aec69cdda95d3fa1f8] [Current]
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Dataseries X:
117
103,8
100,8
110,6
104
112,6
107,3
98,9
109,8
104,9
102,2
123,9
124,9
112,7
121,9
100,6
104,3
120,4
107,5
102,9
125,6
107,5
108,8
128,4
121,1
119,5
128,7
108,7
105,5
119,8
111,3
110,6
120,1
97,5
107,7
127,3
117,2
119,8
116,2
111
112,4
130,6
109,1
118,8
123,9
101,6
112,8
128
129,6
125,8
119,5
115,7
113,6
129,7
112
116,8
127
112,9
113,3
121,7




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 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=7326&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]3 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=7326&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7326&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.1170480.90660.18411
2-0.049566-0.38390.64881
30.3904773.02460.00183
4-0.172458-1.33590.906678
5-0.007289-0.05650.522419
60.473233.66560.000262
7-0.134659-1.04310.849449
8-0.098005-0.75910.77463
90.2881112.23170.014691
10-0.263201-2.03870.977056
110.0125150.09690.461549
120.5517924.27423.5e-05
13-0.069539-0.53860.703939
14-0.012567-0.09730.53861
150.2140651.65810.051255
16-0.260437-2.01730.97593
17-0.021481-0.16640.565796
180.247051.91360.03022
19-0.235204-1.82190.963271
20-0.114443-0.88650.810549
210.0969260.75080.227857
22-0.272793-2.1130.980617
230.0507940.39340.347691
240.2892672.24070.014381
25-0.108733-0.84220.798502
260.0229610.17790.429719
270.1692811.31120.097386
28-0.173539-1.34420.908033
290.0317930.24630.403158
300.1487291.1520.126935
31-0.117593-0.91090.816996
32-0.013995-0.10840.542981
33-0.008226-0.06370.525297
34-0.235607-1.8250.96351
35-0.005697-0.04410.517526
360.1329381.02970.153635
37-0.100904-0.78160.781239
38-0.056781-0.43980.669176
39-0.023436-0.18150.571719
40-0.192632-1.49210.929547
41-0.073501-0.56930.714374
42-0.035804-0.27730.608763
43-0.106684-0.82640.794065
44-0.035009-0.27120.606409
45-0.062817-0.48660.685835
46-0.186483-1.44450.923099
47-0.090505-0.7010.757008

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.117048 & 0.9066 & 0.18411 \tabularnewline
2 & -0.049566 & -0.3839 & 0.64881 \tabularnewline
3 & 0.390477 & 3.0246 & 0.00183 \tabularnewline
4 & -0.172458 & -1.3359 & 0.906678 \tabularnewline
5 & -0.007289 & -0.0565 & 0.522419 \tabularnewline
6 & 0.47323 & 3.6656 & 0.000262 \tabularnewline
7 & -0.134659 & -1.0431 & 0.849449 \tabularnewline
8 & -0.098005 & -0.7591 & 0.77463 \tabularnewline
9 & 0.288111 & 2.2317 & 0.014691 \tabularnewline
10 & -0.263201 & -2.0387 & 0.977056 \tabularnewline
11 & 0.012515 & 0.0969 & 0.461549 \tabularnewline
12 & 0.551792 & 4.2742 & 3.5e-05 \tabularnewline
13 & -0.069539 & -0.5386 & 0.703939 \tabularnewline
14 & -0.012567 & -0.0973 & 0.53861 \tabularnewline
15 & 0.214065 & 1.6581 & 0.051255 \tabularnewline
16 & -0.260437 & -2.0173 & 0.97593 \tabularnewline
17 & -0.021481 & -0.1664 & 0.565796 \tabularnewline
18 & 0.24705 & 1.9136 & 0.03022 \tabularnewline
19 & -0.235204 & -1.8219 & 0.963271 \tabularnewline
20 & -0.114443 & -0.8865 & 0.810549 \tabularnewline
21 & 0.096926 & 0.7508 & 0.227857 \tabularnewline
22 & -0.272793 & -2.113 & 0.980617 \tabularnewline
23 & 0.050794 & 0.3934 & 0.347691 \tabularnewline
24 & 0.289267 & 2.2407 & 0.014381 \tabularnewline
25 & -0.108733 & -0.8422 & 0.798502 \tabularnewline
26 & 0.022961 & 0.1779 & 0.429719 \tabularnewline
27 & 0.169281 & 1.3112 & 0.097386 \tabularnewline
28 & -0.173539 & -1.3442 & 0.908033 \tabularnewline
29 & 0.031793 & 0.2463 & 0.403158 \tabularnewline
30 & 0.148729 & 1.152 & 0.126935 \tabularnewline
31 & -0.117593 & -0.9109 & 0.816996 \tabularnewline
32 & -0.013995 & -0.1084 & 0.542981 \tabularnewline
33 & -0.008226 & -0.0637 & 0.525297 \tabularnewline
34 & -0.235607 & -1.825 & 0.96351 \tabularnewline
35 & -0.005697 & -0.0441 & 0.517526 \tabularnewline
36 & 0.132938 & 1.0297 & 0.153635 \tabularnewline
37 & -0.100904 & -0.7816 & 0.781239 \tabularnewline
38 & -0.056781 & -0.4398 & 0.669176 \tabularnewline
39 & -0.023436 & -0.1815 & 0.571719 \tabularnewline
40 & -0.192632 & -1.4921 & 0.929547 \tabularnewline
41 & -0.073501 & -0.5693 & 0.714374 \tabularnewline
42 & -0.035804 & -0.2773 & 0.608763 \tabularnewline
43 & -0.106684 & -0.8264 & 0.794065 \tabularnewline
44 & -0.035009 & -0.2712 & 0.606409 \tabularnewline
45 & -0.062817 & -0.4866 & 0.685835 \tabularnewline
46 & -0.186483 & -1.4445 & 0.923099 \tabularnewline
47 & -0.090505 & -0.701 & 0.757008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7326&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.117048[/C][C]0.9066[/C][C]0.18411[/C][/ROW]
[ROW][C]2[/C][C]-0.049566[/C][C]-0.3839[/C][C]0.64881[/C][/ROW]
[ROW][C]3[/C][C]0.390477[/C][C]3.0246[/C][C]0.00183[/C][/ROW]
[ROW][C]4[/C][C]-0.172458[/C][C]-1.3359[/C][C]0.906678[/C][/ROW]
[ROW][C]5[/C][C]-0.007289[/C][C]-0.0565[/C][C]0.522419[/C][/ROW]
[ROW][C]6[/C][C]0.47323[/C][C]3.6656[/C][C]0.000262[/C][/ROW]
[ROW][C]7[/C][C]-0.134659[/C][C]-1.0431[/C][C]0.849449[/C][/ROW]
[ROW][C]8[/C][C]-0.098005[/C][C]-0.7591[/C][C]0.77463[/C][/ROW]
[ROW][C]9[/C][C]0.288111[/C][C]2.2317[/C][C]0.014691[/C][/ROW]
[ROW][C]10[/C][C]-0.263201[/C][C]-2.0387[/C][C]0.977056[/C][/ROW]
[ROW][C]11[/C][C]0.012515[/C][C]0.0969[/C][C]0.461549[/C][/ROW]
[ROW][C]12[/C][C]0.551792[/C][C]4.2742[/C][C]3.5e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.069539[/C][C]-0.5386[/C][C]0.703939[/C][/ROW]
[ROW][C]14[/C][C]-0.012567[/C][C]-0.0973[/C][C]0.53861[/C][/ROW]
[ROW][C]15[/C][C]0.214065[/C][C]1.6581[/C][C]0.051255[/C][/ROW]
[ROW][C]16[/C][C]-0.260437[/C][C]-2.0173[/C][C]0.97593[/C][/ROW]
[ROW][C]17[/C][C]-0.021481[/C][C]-0.1664[/C][C]0.565796[/C][/ROW]
[ROW][C]18[/C][C]0.24705[/C][C]1.9136[/C][C]0.03022[/C][/ROW]
[ROW][C]19[/C][C]-0.235204[/C][C]-1.8219[/C][C]0.963271[/C][/ROW]
[ROW][C]20[/C][C]-0.114443[/C][C]-0.8865[/C][C]0.810549[/C][/ROW]
[ROW][C]21[/C][C]0.096926[/C][C]0.7508[/C][C]0.227857[/C][/ROW]
[ROW][C]22[/C][C]-0.272793[/C][C]-2.113[/C][C]0.980617[/C][/ROW]
[ROW][C]23[/C][C]0.050794[/C][C]0.3934[/C][C]0.347691[/C][/ROW]
[ROW][C]24[/C][C]0.289267[/C][C]2.2407[/C][C]0.014381[/C][/ROW]
[ROW][C]25[/C][C]-0.108733[/C][C]-0.8422[/C][C]0.798502[/C][/ROW]
[ROW][C]26[/C][C]0.022961[/C][C]0.1779[/C][C]0.429719[/C][/ROW]
[ROW][C]27[/C][C]0.169281[/C][C]1.3112[/C][C]0.097386[/C][/ROW]
[ROW][C]28[/C][C]-0.173539[/C][C]-1.3442[/C][C]0.908033[/C][/ROW]
[ROW][C]29[/C][C]0.031793[/C][C]0.2463[/C][C]0.403158[/C][/ROW]
[ROW][C]30[/C][C]0.148729[/C][C]1.152[/C][C]0.126935[/C][/ROW]
[ROW][C]31[/C][C]-0.117593[/C][C]-0.9109[/C][C]0.816996[/C][/ROW]
[ROW][C]32[/C][C]-0.013995[/C][C]-0.1084[/C][C]0.542981[/C][/ROW]
[ROW][C]33[/C][C]-0.008226[/C][C]-0.0637[/C][C]0.525297[/C][/ROW]
[ROW][C]34[/C][C]-0.235607[/C][C]-1.825[/C][C]0.96351[/C][/ROW]
[ROW][C]35[/C][C]-0.005697[/C][C]-0.0441[/C][C]0.517526[/C][/ROW]
[ROW][C]36[/C][C]0.132938[/C][C]1.0297[/C][C]0.153635[/C][/ROW]
[ROW][C]37[/C][C]-0.100904[/C][C]-0.7816[/C][C]0.781239[/C][/ROW]
[ROW][C]38[/C][C]-0.056781[/C][C]-0.4398[/C][C]0.669176[/C][/ROW]
[ROW][C]39[/C][C]-0.023436[/C][C]-0.1815[/C][C]0.571719[/C][/ROW]
[ROW][C]40[/C][C]-0.192632[/C][C]-1.4921[/C][C]0.929547[/C][/ROW]
[ROW][C]41[/C][C]-0.073501[/C][C]-0.5693[/C][C]0.714374[/C][/ROW]
[ROW][C]42[/C][C]-0.035804[/C][C]-0.2773[/C][C]0.608763[/C][/ROW]
[ROW][C]43[/C][C]-0.106684[/C][C]-0.8264[/C][C]0.794065[/C][/ROW]
[ROW][C]44[/C][C]-0.035009[/C][C]-0.2712[/C][C]0.606409[/C][/ROW]
[ROW][C]45[/C][C]-0.062817[/C][C]-0.4866[/C][C]0.685835[/C][/ROW]
[ROW][C]46[/C][C]-0.186483[/C][C]-1.4445[/C][C]0.923099[/C][/ROW]
[ROW][C]47[/C][C]-0.090505[/C][C]-0.701[/C][C]0.757008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7326&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7326&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
017.7460
10.1170480.90660.18411
2-0.049566-0.38390.64881
30.3904773.02460.00183
4-0.172458-1.33590.906678
5-0.007289-0.05650.522419
60.473233.66560.000262
7-0.134659-1.04310.849449
8-0.098005-0.75910.77463
90.2881112.23170.014691
10-0.263201-2.03870.977056
110.0125150.09690.461549
120.5517924.27423.5e-05
13-0.069539-0.53860.703939
14-0.012567-0.09730.53861
150.2140651.65810.051255
16-0.260437-2.01730.97593
17-0.021481-0.16640.565796
180.247051.91360.03022
19-0.235204-1.82190.963271
20-0.114443-0.88650.810549
210.0969260.75080.227857
22-0.272793-2.1130.980617
230.0507940.39340.347691
240.2892672.24070.014381
25-0.108733-0.84220.798502
260.0229610.17790.429719
270.1692811.31120.097386
28-0.173539-1.34420.908033
290.0317930.24630.403158
300.1487291.1520.126935
31-0.117593-0.91090.816996
32-0.013995-0.10840.542981
33-0.008226-0.06370.525297
34-0.235607-1.8250.96351
35-0.005697-0.04410.517526
360.1329381.02970.153635
37-0.100904-0.78160.781239
38-0.056781-0.43980.669176
39-0.023436-0.18150.571719
40-0.192632-1.49210.929547
41-0.073501-0.56930.714374
42-0.035804-0.27730.608763
43-0.106684-0.82640.794065
44-0.035009-0.27120.606409
45-0.062817-0.48660.685835
46-0.186483-1.44450.923099
47-0.090505-0.7010.757008







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1170480.90660.18411
1-0.064145-0.49690.689451
20.4114663.18720.001141
3-0.349633-2.70820.9956
40.2349921.82020.036855
50.2755762.13460.018444
6-0.178493-1.38260.914044
7-0.065217-0.50520.692356
80.0923120.7150.238676
9-0.162173-1.25620.893041
100.1741871.34930.091163
110.3565832.76210.003806
12-0.041104-0.31840.624354
13-0.088577-0.68610.752357
14-0.144972-1.12290.867033
150.0702080.54380.294286
16-0.102692-0.79540.785256
17-0.12126-0.93930.824322
18-0.022695-0.17580.569477
19-0.098068-0.75960.774776
20-0.025012-0.19370.576483
210.1006050.77930.219438
220.149711.15960.125393
23-0.043257-0.33510.630628
240.0110680.08570.465982
25-0.014774-0.11440.545363
260.1610291.24730.108563
27-0.074584-0.57770.717195
28-0.034575-0.26780.60512
29-0.065229-0.50530.692387
300.1735561.34440.091947
31-0.051737-0.40080.654988
32-0.117303-0.90860.816409
33-0.0709-0.54920.707544
34-0.06147-0.47610.682149
350.0191650.14850.441241
36-0.060329-0.46730.679014
37-0.116055-0.8990.813867
38-0.173024-1.34020.907389
39-0.053286-0.41280.65937
40-0.028118-0.21780.585839
41-0.043046-0.33340.630014
420.029870.23140.408906
430.0347080.26880.394485
440.0511520.39620.346673
45-0.003604-0.02790.511088
460.0408690.31660.376333
47-0.151739-1.17540.877755

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.117048 & 0.9066 & 0.18411 \tabularnewline
1 & -0.064145 & -0.4969 & 0.689451 \tabularnewline
2 & 0.411466 & 3.1872 & 0.001141 \tabularnewline
3 & -0.349633 & -2.7082 & 0.9956 \tabularnewline
4 & 0.234992 & 1.8202 & 0.036855 \tabularnewline
5 & 0.275576 & 2.1346 & 0.018444 \tabularnewline
6 & -0.178493 & -1.3826 & 0.914044 \tabularnewline
7 & -0.065217 & -0.5052 & 0.692356 \tabularnewline
8 & 0.092312 & 0.715 & 0.238676 \tabularnewline
9 & -0.162173 & -1.2562 & 0.893041 \tabularnewline
10 & 0.174187 & 1.3493 & 0.091163 \tabularnewline
11 & 0.356583 & 2.7621 & 0.003806 \tabularnewline
12 & -0.041104 & -0.3184 & 0.624354 \tabularnewline
13 & -0.088577 & -0.6861 & 0.752357 \tabularnewline
14 & -0.144972 & -1.1229 & 0.867033 \tabularnewline
15 & 0.070208 & 0.5438 & 0.294286 \tabularnewline
16 & -0.102692 & -0.7954 & 0.785256 \tabularnewline
17 & -0.12126 & -0.9393 & 0.824322 \tabularnewline
18 & -0.022695 & -0.1758 & 0.569477 \tabularnewline
19 & -0.098068 & -0.7596 & 0.774776 \tabularnewline
20 & -0.025012 & -0.1937 & 0.576483 \tabularnewline
21 & 0.100605 & 0.7793 & 0.219438 \tabularnewline
22 & 0.14971 & 1.1596 & 0.125393 \tabularnewline
23 & -0.043257 & -0.3351 & 0.630628 \tabularnewline
24 & 0.011068 & 0.0857 & 0.465982 \tabularnewline
25 & -0.014774 & -0.1144 & 0.545363 \tabularnewline
26 & 0.161029 & 1.2473 & 0.108563 \tabularnewline
27 & -0.074584 & -0.5777 & 0.717195 \tabularnewline
28 & -0.034575 & -0.2678 & 0.60512 \tabularnewline
29 & -0.065229 & -0.5053 & 0.692387 \tabularnewline
30 & 0.173556 & 1.3444 & 0.091947 \tabularnewline
31 & -0.051737 & -0.4008 & 0.654988 \tabularnewline
32 & -0.117303 & -0.9086 & 0.816409 \tabularnewline
33 & -0.0709 & -0.5492 & 0.707544 \tabularnewline
34 & -0.06147 & -0.4761 & 0.682149 \tabularnewline
35 & 0.019165 & 0.1485 & 0.441241 \tabularnewline
36 & -0.060329 & -0.4673 & 0.679014 \tabularnewline
37 & -0.116055 & -0.899 & 0.813867 \tabularnewline
38 & -0.173024 & -1.3402 & 0.907389 \tabularnewline
39 & -0.053286 & -0.4128 & 0.65937 \tabularnewline
40 & -0.028118 & -0.2178 & 0.585839 \tabularnewline
41 & -0.043046 & -0.3334 & 0.630014 \tabularnewline
42 & 0.02987 & 0.2314 & 0.408906 \tabularnewline
43 & 0.034708 & 0.2688 & 0.394485 \tabularnewline
44 & 0.051152 & 0.3962 & 0.346673 \tabularnewline
45 & -0.003604 & -0.0279 & 0.511088 \tabularnewline
46 & 0.040869 & 0.3166 & 0.376333 \tabularnewline
47 & -0.151739 & -1.1754 & 0.877755 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7326&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]0.117048[/C][C]0.9066[/C][C]0.18411[/C][/ROW]
[ROW][C]1[/C][C]-0.064145[/C][C]-0.4969[/C][C]0.689451[/C][/ROW]
[ROW][C]2[/C][C]0.411466[/C][C]3.1872[/C][C]0.001141[/C][/ROW]
[ROW][C]3[/C][C]-0.349633[/C][C]-2.7082[/C][C]0.9956[/C][/ROW]
[ROW][C]4[/C][C]0.234992[/C][C]1.8202[/C][C]0.036855[/C][/ROW]
[ROW][C]5[/C][C]0.275576[/C][C]2.1346[/C][C]0.018444[/C][/ROW]
[ROW][C]6[/C][C]-0.178493[/C][C]-1.3826[/C][C]0.914044[/C][/ROW]
[ROW][C]7[/C][C]-0.065217[/C][C]-0.5052[/C][C]0.692356[/C][/ROW]
[ROW][C]8[/C][C]0.092312[/C][C]0.715[/C][C]0.238676[/C][/ROW]
[ROW][C]9[/C][C]-0.162173[/C][C]-1.2562[/C][C]0.893041[/C][/ROW]
[ROW][C]10[/C][C]0.174187[/C][C]1.3493[/C][C]0.091163[/C][/ROW]
[ROW][C]11[/C][C]0.356583[/C][C]2.7621[/C][C]0.003806[/C][/ROW]
[ROW][C]12[/C][C]-0.041104[/C][C]-0.3184[/C][C]0.624354[/C][/ROW]
[ROW][C]13[/C][C]-0.088577[/C][C]-0.6861[/C][C]0.752357[/C][/ROW]
[ROW][C]14[/C][C]-0.144972[/C][C]-1.1229[/C][C]0.867033[/C][/ROW]
[ROW][C]15[/C][C]0.070208[/C][C]0.5438[/C][C]0.294286[/C][/ROW]
[ROW][C]16[/C][C]-0.102692[/C][C]-0.7954[/C][C]0.785256[/C][/ROW]
[ROW][C]17[/C][C]-0.12126[/C][C]-0.9393[/C][C]0.824322[/C][/ROW]
[ROW][C]18[/C][C]-0.022695[/C][C]-0.1758[/C][C]0.569477[/C][/ROW]
[ROW][C]19[/C][C]-0.098068[/C][C]-0.7596[/C][C]0.774776[/C][/ROW]
[ROW][C]20[/C][C]-0.025012[/C][C]-0.1937[/C][C]0.576483[/C][/ROW]
[ROW][C]21[/C][C]0.100605[/C][C]0.7793[/C][C]0.219438[/C][/ROW]
[ROW][C]22[/C][C]0.14971[/C][C]1.1596[/C][C]0.125393[/C][/ROW]
[ROW][C]23[/C][C]-0.043257[/C][C]-0.3351[/C][C]0.630628[/C][/ROW]
[ROW][C]24[/C][C]0.011068[/C][C]0.0857[/C][C]0.465982[/C][/ROW]
[ROW][C]25[/C][C]-0.014774[/C][C]-0.1144[/C][C]0.545363[/C][/ROW]
[ROW][C]26[/C][C]0.161029[/C][C]1.2473[/C][C]0.108563[/C][/ROW]
[ROW][C]27[/C][C]-0.074584[/C][C]-0.5777[/C][C]0.717195[/C][/ROW]
[ROW][C]28[/C][C]-0.034575[/C][C]-0.2678[/C][C]0.60512[/C][/ROW]
[ROW][C]29[/C][C]-0.065229[/C][C]-0.5053[/C][C]0.692387[/C][/ROW]
[ROW][C]30[/C][C]0.173556[/C][C]1.3444[/C][C]0.091947[/C][/ROW]
[ROW][C]31[/C][C]-0.051737[/C][C]-0.4008[/C][C]0.654988[/C][/ROW]
[ROW][C]32[/C][C]-0.117303[/C][C]-0.9086[/C][C]0.816409[/C][/ROW]
[ROW][C]33[/C][C]-0.0709[/C][C]-0.5492[/C][C]0.707544[/C][/ROW]
[ROW][C]34[/C][C]-0.06147[/C][C]-0.4761[/C][C]0.682149[/C][/ROW]
[ROW][C]35[/C][C]0.019165[/C][C]0.1485[/C][C]0.441241[/C][/ROW]
[ROW][C]36[/C][C]-0.060329[/C][C]-0.4673[/C][C]0.679014[/C][/ROW]
[ROW][C]37[/C][C]-0.116055[/C][C]-0.899[/C][C]0.813867[/C][/ROW]
[ROW][C]38[/C][C]-0.173024[/C][C]-1.3402[/C][C]0.907389[/C][/ROW]
[ROW][C]39[/C][C]-0.053286[/C][C]-0.4128[/C][C]0.65937[/C][/ROW]
[ROW][C]40[/C][C]-0.028118[/C][C]-0.2178[/C][C]0.585839[/C][/ROW]
[ROW][C]41[/C][C]-0.043046[/C][C]-0.3334[/C][C]0.630014[/C][/ROW]
[ROW][C]42[/C][C]0.02987[/C][C]0.2314[/C][C]0.408906[/C][/ROW]
[ROW][C]43[/C][C]0.034708[/C][C]0.2688[/C][C]0.394485[/C][/ROW]
[ROW][C]44[/C][C]0.051152[/C][C]0.3962[/C][C]0.346673[/C][/ROW]
[ROW][C]45[/C][C]-0.003604[/C][C]-0.0279[/C][C]0.511088[/C][/ROW]
[ROW][C]46[/C][C]0.040869[/C][C]0.3166[/C][C]0.376333[/C][/ROW]
[ROW][C]47[/C][C]-0.151739[/C][C]-1.1754[/C][C]0.877755[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7326&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7326&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
00.1170480.90660.18411
1-0.064145-0.49690.689451
20.4114663.18720.001141
3-0.349633-2.70820.9956
40.2349921.82020.036855
50.2755762.13460.018444
6-0.178493-1.38260.914044
7-0.065217-0.50520.692356
80.0923120.7150.238676
9-0.162173-1.25620.893041
100.1741871.34930.091163
110.3565832.76210.003806
12-0.041104-0.31840.624354
13-0.088577-0.68610.752357
14-0.144972-1.12290.867033
150.0702080.54380.294286
16-0.102692-0.79540.785256
17-0.12126-0.93930.824322
18-0.022695-0.17580.569477
19-0.098068-0.75960.774776
20-0.025012-0.19370.576483
210.1006050.77930.219438
220.149711.15960.125393
23-0.043257-0.33510.630628
240.0110680.08570.465982
25-0.014774-0.11440.545363
260.1610291.24730.108563
27-0.074584-0.57770.717195
28-0.034575-0.26780.60512
29-0.065229-0.50530.692387
300.1735561.34440.091947
31-0.051737-0.40080.654988
32-0.117303-0.90860.816409
33-0.0709-0.54920.707544
34-0.06147-0.47610.682149
350.0191650.14850.441241
36-0.060329-0.46730.679014
37-0.116055-0.8990.813867
38-0.173024-1.34020.907389
39-0.053286-0.41280.65937
40-0.028118-0.21780.585839
41-0.043046-0.33340.630014
420.029870.23140.408906
430.0347080.26880.394485
440.0511520.39620.346673
45-0.003604-0.02790.511088
460.0408690.31660.376333
47-0.151739-1.17540.877755



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 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')