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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 13:14:41 -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/t1196366894a9ytikxmpopa9z6.htm/, Retrieved Fri, 03 May 2024 05:57:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7598, Retrieved Fri, 03 May 2024 05:57:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Melkprijs d=0 & D=0] [2007-11-29 20:14:41] [5a8e7c1f041681f87e3014e302618e0c] [Current]
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Dataseries X:
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




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=7598&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=7598&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7598&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
10.8581086.64690
20.729735.65250
30.6081084.71048e-06
40.4932433.82060.000159
50.3581082.77390.003686
60.2162161.67480.049589
70.1351351.04680.149706
80.0878380.68040.249438
90.0743240.57570.283481
100.0608110.4710.319661
110.0472970.36640.357691
120.0135140.10470.458491
130.0067570.05230.479217
14-0.013514-0.10470.541509
15-0.033784-0.26170.602771
16-0.060811-0.4710.680339
17-0.087838-0.68040.750562
18-0.081081-0.62810.733823
19-0.101351-0.78510.782248
20-0.094595-0.73270.766711
21-0.121622-0.94210.825034
22-0.114865-0.88970.81142
23-0.114865-0.88970.81142
24-0.108108-0.83740.797155
25-0.108108-0.83740.797155
26-0.114865-0.88970.81142
27-0.108108-0.83740.797155
28-0.108108-0.83740.797155
29-0.081081-0.62810.733823
30-0.060811-0.4710.680339
31-0.040541-0.3140.622705
32-0.02027-0.1570.562119
330.0067570.05230.479217
340.0337840.26170.397229
350.0270270.20940.417442
360.0135140.10470.458491
37-0.006757-0.05230.520783
38-0.027027-0.20940.582558
39-0.054054-0.41870.661535
40-0.067568-0.52340.69868
41-0.101351-0.78510.782248
42-0.135135-1.04680.850294
43-0.168919-1.30840.902143
44-0.162162-1.25610.893026
45-0.162162-1.25610.893026
46-0.195946-1.51780.932841
47-0.195946-1.51780.932841
48-0.195946-1.51780.932841
49-0.195946-1.51780.932841
50-0.195946-1.51780.932841
51-0.189189-1.46550.925991
52-0.175676-1.36080.910663
53-0.148649-1.15140.872938
54-0.121622-0.94210.825034
55-0.094595-0.73270.766711
56-0.067568-0.52340.69868
57-0.033784-0.26170.602771
58000.5
59000.5

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.858108 & 6.6469 & 0 \tabularnewline
2 & 0.72973 & 5.6525 & 0 \tabularnewline
3 & 0.608108 & 4.7104 & 8e-06 \tabularnewline
4 & 0.493243 & 3.8206 & 0.000159 \tabularnewline
5 & 0.358108 & 2.7739 & 0.003686 \tabularnewline
6 & 0.216216 & 1.6748 & 0.049589 \tabularnewline
7 & 0.135135 & 1.0468 & 0.149706 \tabularnewline
8 & 0.087838 & 0.6804 & 0.249438 \tabularnewline
9 & 0.074324 & 0.5757 & 0.283481 \tabularnewline
10 & 0.060811 & 0.471 & 0.319661 \tabularnewline
11 & 0.047297 & 0.3664 & 0.357691 \tabularnewline
12 & 0.013514 & 0.1047 & 0.458491 \tabularnewline
13 & 0.006757 & 0.0523 & 0.479217 \tabularnewline
14 & -0.013514 & -0.1047 & 0.541509 \tabularnewline
15 & -0.033784 & -0.2617 & 0.602771 \tabularnewline
16 & -0.060811 & -0.471 & 0.680339 \tabularnewline
17 & -0.087838 & -0.6804 & 0.750562 \tabularnewline
18 & -0.081081 & -0.6281 & 0.733823 \tabularnewline
19 & -0.101351 & -0.7851 & 0.782248 \tabularnewline
20 & -0.094595 & -0.7327 & 0.766711 \tabularnewline
21 & -0.121622 & -0.9421 & 0.825034 \tabularnewline
22 & -0.114865 & -0.8897 & 0.81142 \tabularnewline
23 & -0.114865 & -0.8897 & 0.81142 \tabularnewline
24 & -0.108108 & -0.8374 & 0.797155 \tabularnewline
25 & -0.108108 & -0.8374 & 0.797155 \tabularnewline
26 & -0.114865 & -0.8897 & 0.81142 \tabularnewline
27 & -0.108108 & -0.8374 & 0.797155 \tabularnewline
28 & -0.108108 & -0.8374 & 0.797155 \tabularnewline
29 & -0.081081 & -0.6281 & 0.733823 \tabularnewline
30 & -0.060811 & -0.471 & 0.680339 \tabularnewline
31 & -0.040541 & -0.314 & 0.622705 \tabularnewline
32 & -0.02027 & -0.157 & 0.562119 \tabularnewline
33 & 0.006757 & 0.0523 & 0.479217 \tabularnewline
34 & 0.033784 & 0.2617 & 0.397229 \tabularnewline
35 & 0.027027 & 0.2094 & 0.417442 \tabularnewline
36 & 0.013514 & 0.1047 & 0.458491 \tabularnewline
37 & -0.006757 & -0.0523 & 0.520783 \tabularnewline
38 & -0.027027 & -0.2094 & 0.582558 \tabularnewline
39 & -0.054054 & -0.4187 & 0.661535 \tabularnewline
40 & -0.067568 & -0.5234 & 0.69868 \tabularnewline
41 & -0.101351 & -0.7851 & 0.782248 \tabularnewline
42 & -0.135135 & -1.0468 & 0.850294 \tabularnewline
43 & -0.168919 & -1.3084 & 0.902143 \tabularnewline
44 & -0.162162 & -1.2561 & 0.893026 \tabularnewline
45 & -0.162162 & -1.2561 & 0.893026 \tabularnewline
46 & -0.195946 & -1.5178 & 0.932841 \tabularnewline
47 & -0.195946 & -1.5178 & 0.932841 \tabularnewline
48 & -0.195946 & -1.5178 & 0.932841 \tabularnewline
49 & -0.195946 & -1.5178 & 0.932841 \tabularnewline
50 & -0.195946 & -1.5178 & 0.932841 \tabularnewline
51 & -0.189189 & -1.4655 & 0.925991 \tabularnewline
52 & -0.175676 & -1.3608 & 0.910663 \tabularnewline
53 & -0.148649 & -1.1514 & 0.872938 \tabularnewline
54 & -0.121622 & -0.9421 & 0.825034 \tabularnewline
55 & -0.094595 & -0.7327 & 0.766711 \tabularnewline
56 & -0.067568 & -0.5234 & 0.69868 \tabularnewline
57 & -0.033784 & -0.2617 & 0.602771 \tabularnewline
58 & 0 & 0 & 0.5 \tabularnewline
59 & 0 & 0 & 0.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7598&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]0.858108[/C][C]6.6469[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.72973[/C][C]5.6525[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.608108[/C][C]4.7104[/C][C]8e-06[/C][/ROW]
[ROW][C]4[/C][C]0.493243[/C][C]3.8206[/C][C]0.000159[/C][/ROW]
[ROW][C]5[/C][C]0.358108[/C][C]2.7739[/C][C]0.003686[/C][/ROW]
[ROW][C]6[/C][C]0.216216[/C][C]1.6748[/C][C]0.049589[/C][/ROW]
[ROW][C]7[/C][C]0.135135[/C][C]1.0468[/C][C]0.149706[/C][/ROW]
[ROW][C]8[/C][C]0.087838[/C][C]0.6804[/C][C]0.249438[/C][/ROW]
[ROW][C]9[/C][C]0.074324[/C][C]0.5757[/C][C]0.283481[/C][/ROW]
[ROW][C]10[/C][C]0.060811[/C][C]0.471[/C][C]0.319661[/C][/ROW]
[ROW][C]11[/C][C]0.047297[/C][C]0.3664[/C][C]0.357691[/C][/ROW]
[ROW][C]12[/C][C]0.013514[/C][C]0.1047[/C][C]0.458491[/C][/ROW]
[ROW][C]13[/C][C]0.006757[/C][C]0.0523[/C][C]0.479217[/C][/ROW]
[ROW][C]14[/C][C]-0.013514[/C][C]-0.1047[/C][C]0.541509[/C][/ROW]
[ROW][C]15[/C][C]-0.033784[/C][C]-0.2617[/C][C]0.602771[/C][/ROW]
[ROW][C]16[/C][C]-0.060811[/C][C]-0.471[/C][C]0.680339[/C][/ROW]
[ROW][C]17[/C][C]-0.087838[/C][C]-0.6804[/C][C]0.750562[/C][/ROW]
[ROW][C]18[/C][C]-0.081081[/C][C]-0.6281[/C][C]0.733823[/C][/ROW]
[ROW][C]19[/C][C]-0.101351[/C][C]-0.7851[/C][C]0.782248[/C][/ROW]
[ROW][C]20[/C][C]-0.094595[/C][C]-0.7327[/C][C]0.766711[/C][/ROW]
[ROW][C]21[/C][C]-0.121622[/C][C]-0.9421[/C][C]0.825034[/C][/ROW]
[ROW][C]22[/C][C]-0.114865[/C][C]-0.8897[/C][C]0.81142[/C][/ROW]
[ROW][C]23[/C][C]-0.114865[/C][C]-0.8897[/C][C]0.81142[/C][/ROW]
[ROW][C]24[/C][C]-0.108108[/C][C]-0.8374[/C][C]0.797155[/C][/ROW]
[ROW][C]25[/C][C]-0.108108[/C][C]-0.8374[/C][C]0.797155[/C][/ROW]
[ROW][C]26[/C][C]-0.114865[/C][C]-0.8897[/C][C]0.81142[/C][/ROW]
[ROW][C]27[/C][C]-0.108108[/C][C]-0.8374[/C][C]0.797155[/C][/ROW]
[ROW][C]28[/C][C]-0.108108[/C][C]-0.8374[/C][C]0.797155[/C][/ROW]
[ROW][C]29[/C][C]-0.081081[/C][C]-0.6281[/C][C]0.733823[/C][/ROW]
[ROW][C]30[/C][C]-0.060811[/C][C]-0.471[/C][C]0.680339[/C][/ROW]
[ROW][C]31[/C][C]-0.040541[/C][C]-0.314[/C][C]0.622705[/C][/ROW]
[ROW][C]32[/C][C]-0.02027[/C][C]-0.157[/C][C]0.562119[/C][/ROW]
[ROW][C]33[/C][C]0.006757[/C][C]0.0523[/C][C]0.479217[/C][/ROW]
[ROW][C]34[/C][C]0.033784[/C][C]0.2617[/C][C]0.397229[/C][/ROW]
[ROW][C]35[/C][C]0.027027[/C][C]0.2094[/C][C]0.417442[/C][/ROW]
[ROW][C]36[/C][C]0.013514[/C][C]0.1047[/C][C]0.458491[/C][/ROW]
[ROW][C]37[/C][C]-0.006757[/C][C]-0.0523[/C][C]0.520783[/C][/ROW]
[ROW][C]38[/C][C]-0.027027[/C][C]-0.2094[/C][C]0.582558[/C][/ROW]
[ROW][C]39[/C][C]-0.054054[/C][C]-0.4187[/C][C]0.661535[/C][/ROW]
[ROW][C]40[/C][C]-0.067568[/C][C]-0.5234[/C][C]0.69868[/C][/ROW]
[ROW][C]41[/C][C]-0.101351[/C][C]-0.7851[/C][C]0.782248[/C][/ROW]
[ROW][C]42[/C][C]-0.135135[/C][C]-1.0468[/C][C]0.850294[/C][/ROW]
[ROW][C]43[/C][C]-0.168919[/C][C]-1.3084[/C][C]0.902143[/C][/ROW]
[ROW][C]44[/C][C]-0.162162[/C][C]-1.2561[/C][C]0.893026[/C][/ROW]
[ROW][C]45[/C][C]-0.162162[/C][C]-1.2561[/C][C]0.893026[/C][/ROW]
[ROW][C]46[/C][C]-0.195946[/C][C]-1.5178[/C][C]0.932841[/C][/ROW]
[ROW][C]47[/C][C]-0.195946[/C][C]-1.5178[/C][C]0.932841[/C][/ROW]
[ROW][C]48[/C][C]-0.195946[/C][C]-1.5178[/C][C]0.932841[/C][/ROW]
[ROW][C]49[/C][C]-0.195946[/C][C]-1.5178[/C][C]0.932841[/C][/ROW]
[ROW][C]50[/C][C]-0.195946[/C][C]-1.5178[/C][C]0.932841[/C][/ROW]
[ROW][C]51[/C][C]-0.189189[/C][C]-1.4655[/C][C]0.925991[/C][/ROW]
[ROW][C]52[/C][C]-0.175676[/C][C]-1.3608[/C][C]0.910663[/C][/ROW]
[ROW][C]53[/C][C]-0.148649[/C][C]-1.1514[/C][C]0.872938[/C][/ROW]
[ROW][C]54[/C][C]-0.121622[/C][C]-0.9421[/C][C]0.825034[/C][/ROW]
[ROW][C]55[/C][C]-0.094595[/C][C]-0.7327[/C][C]0.766711[/C][/ROW]
[ROW][C]56[/C][C]-0.067568[/C][C]-0.5234[/C][C]0.69868[/C][/ROW]
[ROW][C]57[/C][C]-0.033784[/C][C]-0.2617[/C][C]0.602771[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]0[/C][C]0.5[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0[/C][C]0.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7598&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7598&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
10.8581086.64690
20.729735.65250
30.6081084.71048e-06
40.4932433.82060.000159
50.3581082.77390.003686
60.2162161.67480.049589
70.1351351.04680.149706
80.0878380.68040.249438
90.0743240.57570.283481
100.0608110.4710.319661
110.0472970.36640.357691
120.0135140.10470.458491
130.0067570.05230.479217
14-0.013514-0.10470.541509
15-0.033784-0.26170.602771
16-0.060811-0.4710.680339
17-0.087838-0.68040.750562
18-0.081081-0.62810.733823
19-0.101351-0.78510.782248
20-0.094595-0.73270.766711
21-0.121622-0.94210.825034
22-0.114865-0.88970.81142
23-0.114865-0.88970.81142
24-0.108108-0.83740.797155
25-0.108108-0.83740.797155
26-0.114865-0.88970.81142
27-0.108108-0.83740.797155
28-0.108108-0.83740.797155
29-0.081081-0.62810.733823
30-0.060811-0.4710.680339
31-0.040541-0.3140.622705
32-0.02027-0.1570.562119
330.0067570.05230.479217
340.0337840.26170.397229
350.0270270.20940.417442
360.0135140.10470.458491
37-0.006757-0.05230.520783
38-0.027027-0.20940.582558
39-0.054054-0.41870.661535
40-0.067568-0.52340.69868
41-0.101351-0.78510.782248
42-0.135135-1.04680.850294
43-0.168919-1.30840.902143
44-0.162162-1.25610.893026
45-0.162162-1.25610.893026
46-0.195946-1.51780.932841
47-0.195946-1.51780.932841
48-0.195946-1.51780.932841
49-0.195946-1.51780.932841
50-0.195946-1.51780.932841
51-0.189189-1.46550.925991
52-0.175676-1.36080.910663
53-0.148649-1.15140.872938
54-0.121622-0.94210.825034
55-0.094595-0.73270.766711
56-0.067568-0.52340.69868
57-0.033784-0.26170.602771
58000.5
59000.5







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8581086.64690
1-0.025108-0.19450.576774
2-0.046514-0.36030.640055
3-0.047896-0.3710.644028
4-0.151862-1.17630.877943
5-0.130661-1.01210.842222
60.118940.92130.180291
70.0714140.55320.291101
80.1006360.77950.219367
9-0.005711-0.04420.517568
10-0.062832-0.48670.685875
11-0.161476-1.25080.892066
120.0506470.39230.348111
13-0.039953-0.30950.620983
140.0372010.28820.387111
15-0.001032-0.0080.503175
16-0.036174-0.28020.609856
170.0490110.37960.352776
18-0.113523-0.87930.80864
190.0534020.41360.340303
20-0.127925-0.99090.837143
210.083980.65050.258923
22-0.028867-0.22360.588088
230.0348380.26990.394098
24-0.035807-0.27740.608773
25-0.03183-0.24660.596951
26-0.019131-0.14820.558655
27-0.022252-0.17240.568135
280.0883350.68420.248229
290.0479920.37170.355697
30-0.020494-0.15870.562799
310.0292420.22650.410787
32-0.038931-0.30160.617985
330.024990.19360.423584
34-0.104368-0.80840.788982
35-0.01014-0.07850.53117
36-0.009418-0.0730.528956
37-0.043942-0.34040.632617
380.0343940.26640.395417
39-0.010882-0.08430.533449
40-0.074468-0.57680.716893
41-0.120522-0.93360.822863
42-0.064362-0.49850.690039
430.1072980.83110.204598
44-0.017561-0.1360.553874
45-0.079882-0.61880.730794
460.0295340.22880.409912
47-0.068127-0.52770.700177
48-0.093637-0.72530.764459
490.0289360.22410.411705
500.0421630.32660.372556
51-0.010691-0.08280.532861
520.0953270.73840.231574
53-0.046794-0.36250.640861
54-0.016083-0.12460.549364
55-0.009709-0.07520.529849
560.0375410.29080.386108
57-0.004738-0.03670.514577
58-0.06348-0.49170.687641
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.858108 & 6.6469 & 0 \tabularnewline
1 & -0.025108 & -0.1945 & 0.576774 \tabularnewline
2 & -0.046514 & -0.3603 & 0.640055 \tabularnewline
3 & -0.047896 & -0.371 & 0.644028 \tabularnewline
4 & -0.151862 & -1.1763 & 0.877943 \tabularnewline
5 & -0.130661 & -1.0121 & 0.842222 \tabularnewline
6 & 0.11894 & 0.9213 & 0.180291 \tabularnewline
7 & 0.071414 & 0.5532 & 0.291101 \tabularnewline
8 & 0.100636 & 0.7795 & 0.219367 \tabularnewline
9 & -0.005711 & -0.0442 & 0.517568 \tabularnewline
10 & -0.062832 & -0.4867 & 0.685875 \tabularnewline
11 & -0.161476 & -1.2508 & 0.892066 \tabularnewline
12 & 0.050647 & 0.3923 & 0.348111 \tabularnewline
13 & -0.039953 & -0.3095 & 0.620983 \tabularnewline
14 & 0.037201 & 0.2882 & 0.387111 \tabularnewline
15 & -0.001032 & -0.008 & 0.503175 \tabularnewline
16 & -0.036174 & -0.2802 & 0.609856 \tabularnewline
17 & 0.049011 & 0.3796 & 0.352776 \tabularnewline
18 & -0.113523 & -0.8793 & 0.80864 \tabularnewline
19 & 0.053402 & 0.4136 & 0.340303 \tabularnewline
20 & -0.127925 & -0.9909 & 0.837143 \tabularnewline
21 & 0.08398 & 0.6505 & 0.258923 \tabularnewline
22 & -0.028867 & -0.2236 & 0.588088 \tabularnewline
23 & 0.034838 & 0.2699 & 0.394098 \tabularnewline
24 & -0.035807 & -0.2774 & 0.608773 \tabularnewline
25 & -0.03183 & -0.2466 & 0.596951 \tabularnewline
26 & -0.019131 & -0.1482 & 0.558655 \tabularnewline
27 & -0.022252 & -0.1724 & 0.568135 \tabularnewline
28 & 0.088335 & 0.6842 & 0.248229 \tabularnewline
29 & 0.047992 & 0.3717 & 0.355697 \tabularnewline
30 & -0.020494 & -0.1587 & 0.562799 \tabularnewline
31 & 0.029242 & 0.2265 & 0.410787 \tabularnewline
32 & -0.038931 & -0.3016 & 0.617985 \tabularnewline
33 & 0.02499 & 0.1936 & 0.423584 \tabularnewline
34 & -0.104368 & -0.8084 & 0.788982 \tabularnewline
35 & -0.01014 & -0.0785 & 0.53117 \tabularnewline
36 & -0.009418 & -0.073 & 0.528956 \tabularnewline
37 & -0.043942 & -0.3404 & 0.632617 \tabularnewline
38 & 0.034394 & 0.2664 & 0.395417 \tabularnewline
39 & -0.010882 & -0.0843 & 0.533449 \tabularnewline
40 & -0.074468 & -0.5768 & 0.716893 \tabularnewline
41 & -0.120522 & -0.9336 & 0.822863 \tabularnewline
42 & -0.064362 & -0.4985 & 0.690039 \tabularnewline
43 & 0.107298 & 0.8311 & 0.204598 \tabularnewline
44 & -0.017561 & -0.136 & 0.553874 \tabularnewline
45 & -0.079882 & -0.6188 & 0.730794 \tabularnewline
46 & 0.029534 & 0.2288 & 0.409912 \tabularnewline
47 & -0.068127 & -0.5277 & 0.700177 \tabularnewline
48 & -0.093637 & -0.7253 & 0.764459 \tabularnewline
49 & 0.028936 & 0.2241 & 0.411705 \tabularnewline
50 & 0.042163 & 0.3266 & 0.372556 \tabularnewline
51 & -0.010691 & -0.0828 & 0.532861 \tabularnewline
52 & 0.095327 & 0.7384 & 0.231574 \tabularnewline
53 & -0.046794 & -0.3625 & 0.640861 \tabularnewline
54 & -0.016083 & -0.1246 & 0.549364 \tabularnewline
55 & -0.009709 & -0.0752 & 0.529849 \tabularnewline
56 & 0.037541 & 0.2908 & 0.386108 \tabularnewline
57 & -0.004738 & -0.0367 & 0.514577 \tabularnewline
58 & -0.06348 & -0.4917 & 0.687641 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7598&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]0.858108[/C][C]6.6469[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.025108[/C][C]-0.1945[/C][C]0.576774[/C][/ROW]
[ROW][C]2[/C][C]-0.046514[/C][C]-0.3603[/C][C]0.640055[/C][/ROW]
[ROW][C]3[/C][C]-0.047896[/C][C]-0.371[/C][C]0.644028[/C][/ROW]
[ROW][C]4[/C][C]-0.151862[/C][C]-1.1763[/C][C]0.877943[/C][/ROW]
[ROW][C]5[/C][C]-0.130661[/C][C]-1.0121[/C][C]0.842222[/C][/ROW]
[ROW][C]6[/C][C]0.11894[/C][C]0.9213[/C][C]0.180291[/C][/ROW]
[ROW][C]7[/C][C]0.071414[/C][C]0.5532[/C][C]0.291101[/C][/ROW]
[ROW][C]8[/C][C]0.100636[/C][C]0.7795[/C][C]0.219367[/C][/ROW]
[ROW][C]9[/C][C]-0.005711[/C][C]-0.0442[/C][C]0.517568[/C][/ROW]
[ROW][C]10[/C][C]-0.062832[/C][C]-0.4867[/C][C]0.685875[/C][/ROW]
[ROW][C]11[/C][C]-0.161476[/C][C]-1.2508[/C][C]0.892066[/C][/ROW]
[ROW][C]12[/C][C]0.050647[/C][C]0.3923[/C][C]0.348111[/C][/ROW]
[ROW][C]13[/C][C]-0.039953[/C][C]-0.3095[/C][C]0.620983[/C][/ROW]
[ROW][C]14[/C][C]0.037201[/C][C]0.2882[/C][C]0.387111[/C][/ROW]
[ROW][C]15[/C][C]-0.001032[/C][C]-0.008[/C][C]0.503175[/C][/ROW]
[ROW][C]16[/C][C]-0.036174[/C][C]-0.2802[/C][C]0.609856[/C][/ROW]
[ROW][C]17[/C][C]0.049011[/C][C]0.3796[/C][C]0.352776[/C][/ROW]
[ROW][C]18[/C][C]-0.113523[/C][C]-0.8793[/C][C]0.80864[/C][/ROW]
[ROW][C]19[/C][C]0.053402[/C][C]0.4136[/C][C]0.340303[/C][/ROW]
[ROW][C]20[/C][C]-0.127925[/C][C]-0.9909[/C][C]0.837143[/C][/ROW]
[ROW][C]21[/C][C]0.08398[/C][C]0.6505[/C][C]0.258923[/C][/ROW]
[ROW][C]22[/C][C]-0.028867[/C][C]-0.2236[/C][C]0.588088[/C][/ROW]
[ROW][C]23[/C][C]0.034838[/C][C]0.2699[/C][C]0.394098[/C][/ROW]
[ROW][C]24[/C][C]-0.035807[/C][C]-0.2774[/C][C]0.608773[/C][/ROW]
[ROW][C]25[/C][C]-0.03183[/C][C]-0.2466[/C][C]0.596951[/C][/ROW]
[ROW][C]26[/C][C]-0.019131[/C][C]-0.1482[/C][C]0.558655[/C][/ROW]
[ROW][C]27[/C][C]-0.022252[/C][C]-0.1724[/C][C]0.568135[/C][/ROW]
[ROW][C]28[/C][C]0.088335[/C][C]0.6842[/C][C]0.248229[/C][/ROW]
[ROW][C]29[/C][C]0.047992[/C][C]0.3717[/C][C]0.355697[/C][/ROW]
[ROW][C]30[/C][C]-0.020494[/C][C]-0.1587[/C][C]0.562799[/C][/ROW]
[ROW][C]31[/C][C]0.029242[/C][C]0.2265[/C][C]0.410787[/C][/ROW]
[ROW][C]32[/C][C]-0.038931[/C][C]-0.3016[/C][C]0.617985[/C][/ROW]
[ROW][C]33[/C][C]0.02499[/C][C]0.1936[/C][C]0.423584[/C][/ROW]
[ROW][C]34[/C][C]-0.104368[/C][C]-0.8084[/C][C]0.788982[/C][/ROW]
[ROW][C]35[/C][C]-0.01014[/C][C]-0.0785[/C][C]0.53117[/C][/ROW]
[ROW][C]36[/C][C]-0.009418[/C][C]-0.073[/C][C]0.528956[/C][/ROW]
[ROW][C]37[/C][C]-0.043942[/C][C]-0.3404[/C][C]0.632617[/C][/ROW]
[ROW][C]38[/C][C]0.034394[/C][C]0.2664[/C][C]0.395417[/C][/ROW]
[ROW][C]39[/C][C]-0.010882[/C][C]-0.0843[/C][C]0.533449[/C][/ROW]
[ROW][C]40[/C][C]-0.074468[/C][C]-0.5768[/C][C]0.716893[/C][/ROW]
[ROW][C]41[/C][C]-0.120522[/C][C]-0.9336[/C][C]0.822863[/C][/ROW]
[ROW][C]42[/C][C]-0.064362[/C][C]-0.4985[/C][C]0.690039[/C][/ROW]
[ROW][C]43[/C][C]0.107298[/C][C]0.8311[/C][C]0.204598[/C][/ROW]
[ROW][C]44[/C][C]-0.017561[/C][C]-0.136[/C][C]0.553874[/C][/ROW]
[ROW][C]45[/C][C]-0.079882[/C][C]-0.6188[/C][C]0.730794[/C][/ROW]
[ROW][C]46[/C][C]0.029534[/C][C]0.2288[/C][C]0.409912[/C][/ROW]
[ROW][C]47[/C][C]-0.068127[/C][C]-0.5277[/C][C]0.700177[/C][/ROW]
[ROW][C]48[/C][C]-0.093637[/C][C]-0.7253[/C][C]0.764459[/C][/ROW]
[ROW][C]49[/C][C]0.028936[/C][C]0.2241[/C][C]0.411705[/C][/ROW]
[ROW][C]50[/C][C]0.042163[/C][C]0.3266[/C][C]0.372556[/C][/ROW]
[ROW][C]51[/C][C]-0.010691[/C][C]-0.0828[/C][C]0.532861[/C][/ROW]
[ROW][C]52[/C][C]0.095327[/C][C]0.7384[/C][C]0.231574[/C][/ROW]
[ROW][C]53[/C][C]-0.046794[/C][C]-0.3625[/C][C]0.640861[/C][/ROW]
[ROW][C]54[/C][C]-0.016083[/C][C]-0.1246[/C][C]0.549364[/C][/ROW]
[ROW][C]55[/C][C]-0.009709[/C][C]-0.0752[/C][C]0.529849[/C][/ROW]
[ROW][C]56[/C][C]0.037541[/C][C]0.2908[/C][C]0.386108[/C][/ROW]
[ROW][C]57[/C][C]-0.004738[/C][C]-0.0367[/C][C]0.514577[/C][/ROW]
[ROW][C]58[/C][C]-0.06348[/C][C]-0.4917[/C][C]0.687641[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7598&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7598&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
00.8581086.64690
1-0.025108-0.19450.576774
2-0.046514-0.36030.640055
3-0.047896-0.3710.644028
4-0.151862-1.17630.877943
5-0.130661-1.01210.842222
60.118940.92130.180291
70.0714140.55320.291101
80.1006360.77950.219367
9-0.005711-0.04420.517568
10-0.062832-0.48670.685875
11-0.161476-1.25080.892066
120.0506470.39230.348111
13-0.039953-0.30950.620983
140.0372010.28820.387111
15-0.001032-0.0080.503175
16-0.036174-0.28020.609856
170.0490110.37960.352776
18-0.113523-0.87930.80864
190.0534020.41360.340303
20-0.127925-0.99090.837143
210.083980.65050.258923
22-0.028867-0.22360.588088
230.0348380.26990.394098
24-0.035807-0.27740.608773
25-0.03183-0.24660.596951
26-0.019131-0.14820.558655
27-0.022252-0.17240.568135
280.0883350.68420.248229
290.0479920.37170.355697
30-0.020494-0.15870.562799
310.0292420.22650.410787
32-0.038931-0.30160.617985
330.024990.19360.423584
34-0.104368-0.80840.788982
35-0.01014-0.07850.53117
36-0.009418-0.0730.528956
37-0.043942-0.34040.632617
380.0343940.26640.395417
39-0.010882-0.08430.533449
40-0.074468-0.57680.716893
41-0.120522-0.93360.822863
42-0.064362-0.49850.690039
430.1072980.83110.204598
44-0.017561-0.1360.553874
45-0.079882-0.61880.730794
460.0295340.22880.409912
47-0.068127-0.52770.700177
48-0.093637-0.72530.764459
490.0289360.22410.411705
500.0421630.32660.372556
51-0.010691-0.08280.532861
520.0953270.73840.231574
53-0.046794-0.36250.640861
54-0.016083-0.12460.549364
55-0.009709-0.07520.529849
560.0375410.29080.386108
57-0.004738-0.03670.514577
58-0.06348-0.49170.687641
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')