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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 03:39:40 -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/t1196332187gskgf8vngdfp7qn.htm/, Retrieved Fri, 03 May 2024 13:12:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7392, Retrieved Fri, 03 May 2024 13:12:06 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsChristel Stuer, Steven Coomans
Estimated Impact173
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 10:39:40] [7071e8240f1069aec69cdda95d3fa1f8] [Current]
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Dataseries X:
118,4
108,1
105,4
114,6
106,9
115,9
109,8
101,8
114,2
110,8
108,4
127,5
128,6
116,6
127,4
105
108,3
125
111,6
106,5
130,3
115
116,1
134
126,5
125,8
136,4
114,9
110,9
125,5
116,8
116,8
125,5
104,2
115,1
132,8
123,3
124,8
122
117,4
117,9
137,4
114,6
124,7
129,6
109,4
120,9
134,9
136,3
133,2
127,2
122,7
120,5
137,8
119,1
124,3
134,4
121,7
121
128,6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 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=7392&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]7 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=7392&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7392&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 time7 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
10.1170390.81090.210722
2-0.011168-0.07740.530675
30.1112540.77080.222305
40.0908010.62910.266138
50.0907130.62850.266334
60.1358610.94130.175639
7-0.149524-1.03590.847288
8-0.008067-0.05590.522169
90.1078880.74750.229213
10-0.202294-1.40150.916256
11-0.180458-1.25030.891366
12-0.193304-1.33920.906601
13-0.100722-0.69780.755673
140.05570.38590.350638
15-0.155607-1.07810.856806
16-0.174858-1.21140.884173
170.1178380.81640.209151
18-0.054844-0.380.647179
19-0.176492-1.22280.886307
200.008190.05670.477494
210.0617260.42770.335409
22-0.017823-0.12350.548879
230.1450881.00520.15992
24-0.189986-1.31630.902831
25-0.088932-0.61610.729643
260.071910.49820.310308
270.1259650.87270.193584
28-0.053612-0.37140.644026
290.0761110.52730.300204
300.0041030.02840.488721
310.0636660.44110.330563
323.1e-052e-040.499916
33-0.148685-1.03010.845942
340.0520560.36070.35997
350.0571360.39580.346986
360.0171450.11880.45297
370.0746660.51730.303661
38-0.013407-0.09290.53681
39-0.090637-0.62790.733493
400.0394950.27360.392771
41-0.05893-0.40830.657558
42-0.071682-0.49660.689141
430.0945820.65530.257708
440.0521980.36160.359606
45-0.067971-0.47090.680083
46-0.032584-0.22580.588823
47-0.029573-0.20490.580737
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.117039 & 0.8109 & 0.210722 \tabularnewline
2 & -0.011168 & -0.0774 & 0.530675 \tabularnewline
3 & 0.111254 & 0.7708 & 0.222305 \tabularnewline
4 & 0.090801 & 0.6291 & 0.266138 \tabularnewline
5 & 0.090713 & 0.6285 & 0.266334 \tabularnewline
6 & 0.135861 & 0.9413 & 0.175639 \tabularnewline
7 & -0.149524 & -1.0359 & 0.847288 \tabularnewline
8 & -0.008067 & -0.0559 & 0.522169 \tabularnewline
9 & 0.107888 & 0.7475 & 0.229213 \tabularnewline
10 & -0.202294 & -1.4015 & 0.916256 \tabularnewline
11 & -0.180458 & -1.2503 & 0.891366 \tabularnewline
12 & -0.193304 & -1.3392 & 0.906601 \tabularnewline
13 & -0.100722 & -0.6978 & 0.755673 \tabularnewline
14 & 0.0557 & 0.3859 & 0.350638 \tabularnewline
15 & -0.155607 & -1.0781 & 0.856806 \tabularnewline
16 & -0.174858 & -1.2114 & 0.884173 \tabularnewline
17 & 0.117838 & 0.8164 & 0.209151 \tabularnewline
18 & -0.054844 & -0.38 & 0.647179 \tabularnewline
19 & -0.176492 & -1.2228 & 0.886307 \tabularnewline
20 & 0.00819 & 0.0567 & 0.477494 \tabularnewline
21 & 0.061726 & 0.4277 & 0.335409 \tabularnewline
22 & -0.017823 & -0.1235 & 0.548879 \tabularnewline
23 & 0.145088 & 1.0052 & 0.15992 \tabularnewline
24 & -0.189986 & -1.3163 & 0.902831 \tabularnewline
25 & -0.088932 & -0.6161 & 0.729643 \tabularnewline
26 & 0.07191 & 0.4982 & 0.310308 \tabularnewline
27 & 0.125965 & 0.8727 & 0.193584 \tabularnewline
28 & -0.053612 & -0.3714 & 0.644026 \tabularnewline
29 & 0.076111 & 0.5273 & 0.300204 \tabularnewline
30 & 0.004103 & 0.0284 & 0.488721 \tabularnewline
31 & 0.063666 & 0.4411 & 0.330563 \tabularnewline
32 & 3.1e-05 & 2e-04 & 0.499916 \tabularnewline
33 & -0.148685 & -1.0301 & 0.845942 \tabularnewline
34 & 0.052056 & 0.3607 & 0.35997 \tabularnewline
35 & 0.057136 & 0.3958 & 0.346986 \tabularnewline
36 & 0.017145 & 0.1188 & 0.45297 \tabularnewline
37 & 0.074666 & 0.5173 & 0.303661 \tabularnewline
38 & -0.013407 & -0.0929 & 0.53681 \tabularnewline
39 & -0.090637 & -0.6279 & 0.733493 \tabularnewline
40 & 0.039495 & 0.2736 & 0.392771 \tabularnewline
41 & -0.05893 & -0.4083 & 0.657558 \tabularnewline
42 & -0.071682 & -0.4966 & 0.689141 \tabularnewline
43 & 0.094582 & 0.6553 & 0.257708 \tabularnewline
44 & 0.052198 & 0.3616 & 0.359606 \tabularnewline
45 & -0.067971 & -0.4709 & 0.680083 \tabularnewline
46 & -0.032584 & -0.2258 & 0.588823 \tabularnewline
47 & -0.029573 & -0.2049 & 0.580737 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7392&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.117039[/C][C]0.8109[/C][C]0.210722[/C][/ROW]
[ROW][C]2[/C][C]-0.011168[/C][C]-0.0774[/C][C]0.530675[/C][/ROW]
[ROW][C]3[/C][C]0.111254[/C][C]0.7708[/C][C]0.222305[/C][/ROW]
[ROW][C]4[/C][C]0.090801[/C][C]0.6291[/C][C]0.266138[/C][/ROW]
[ROW][C]5[/C][C]0.090713[/C][C]0.6285[/C][C]0.266334[/C][/ROW]
[ROW][C]6[/C][C]0.135861[/C][C]0.9413[/C][C]0.175639[/C][/ROW]
[ROW][C]7[/C][C]-0.149524[/C][C]-1.0359[/C][C]0.847288[/C][/ROW]
[ROW][C]8[/C][C]-0.008067[/C][C]-0.0559[/C][C]0.522169[/C][/ROW]
[ROW][C]9[/C][C]0.107888[/C][C]0.7475[/C][C]0.229213[/C][/ROW]
[ROW][C]10[/C][C]-0.202294[/C][C]-1.4015[/C][C]0.916256[/C][/ROW]
[ROW][C]11[/C][C]-0.180458[/C][C]-1.2503[/C][C]0.891366[/C][/ROW]
[ROW][C]12[/C][C]-0.193304[/C][C]-1.3392[/C][C]0.906601[/C][/ROW]
[ROW][C]13[/C][C]-0.100722[/C][C]-0.6978[/C][C]0.755673[/C][/ROW]
[ROW][C]14[/C][C]0.0557[/C][C]0.3859[/C][C]0.350638[/C][/ROW]
[ROW][C]15[/C][C]-0.155607[/C][C]-1.0781[/C][C]0.856806[/C][/ROW]
[ROW][C]16[/C][C]-0.174858[/C][C]-1.2114[/C][C]0.884173[/C][/ROW]
[ROW][C]17[/C][C]0.117838[/C][C]0.8164[/C][C]0.209151[/C][/ROW]
[ROW][C]18[/C][C]-0.054844[/C][C]-0.38[/C][C]0.647179[/C][/ROW]
[ROW][C]19[/C][C]-0.176492[/C][C]-1.2228[/C][C]0.886307[/C][/ROW]
[ROW][C]20[/C][C]0.00819[/C][C]0.0567[/C][C]0.477494[/C][/ROW]
[ROW][C]21[/C][C]0.061726[/C][C]0.4277[/C][C]0.335409[/C][/ROW]
[ROW][C]22[/C][C]-0.017823[/C][C]-0.1235[/C][C]0.548879[/C][/ROW]
[ROW][C]23[/C][C]0.145088[/C][C]1.0052[/C][C]0.15992[/C][/ROW]
[ROW][C]24[/C][C]-0.189986[/C][C]-1.3163[/C][C]0.902831[/C][/ROW]
[ROW][C]25[/C][C]-0.088932[/C][C]-0.6161[/C][C]0.729643[/C][/ROW]
[ROW][C]26[/C][C]0.07191[/C][C]0.4982[/C][C]0.310308[/C][/ROW]
[ROW][C]27[/C][C]0.125965[/C][C]0.8727[/C][C]0.193584[/C][/ROW]
[ROW][C]28[/C][C]-0.053612[/C][C]-0.3714[/C][C]0.644026[/C][/ROW]
[ROW][C]29[/C][C]0.076111[/C][C]0.5273[/C][C]0.300204[/C][/ROW]
[ROW][C]30[/C][C]0.004103[/C][C]0.0284[/C][C]0.488721[/C][/ROW]
[ROW][C]31[/C][C]0.063666[/C][C]0.4411[/C][C]0.330563[/C][/ROW]
[ROW][C]32[/C][C]3.1e-05[/C][C]2e-04[/C][C]0.499916[/C][/ROW]
[ROW][C]33[/C][C]-0.148685[/C][C]-1.0301[/C][C]0.845942[/C][/ROW]
[ROW][C]34[/C][C]0.052056[/C][C]0.3607[/C][C]0.35997[/C][/ROW]
[ROW][C]35[/C][C]0.057136[/C][C]0.3958[/C][C]0.346986[/C][/ROW]
[ROW][C]36[/C][C]0.017145[/C][C]0.1188[/C][C]0.45297[/C][/ROW]
[ROW][C]37[/C][C]0.074666[/C][C]0.5173[/C][C]0.303661[/C][/ROW]
[ROW][C]38[/C][C]-0.013407[/C][C]-0.0929[/C][C]0.53681[/C][/ROW]
[ROW][C]39[/C][C]-0.090637[/C][C]-0.6279[/C][C]0.733493[/C][/ROW]
[ROW][C]40[/C][C]0.039495[/C][C]0.2736[/C][C]0.392771[/C][/ROW]
[ROW][C]41[/C][C]-0.05893[/C][C]-0.4083[/C][C]0.657558[/C][/ROW]
[ROW][C]42[/C][C]-0.071682[/C][C]-0.4966[/C][C]0.689141[/C][/ROW]
[ROW][C]43[/C][C]0.094582[/C][C]0.6553[/C][C]0.257708[/C][/ROW]
[ROW][C]44[/C][C]0.052198[/C][C]0.3616[/C][C]0.359606[/C][/ROW]
[ROW][C]45[/C][C]-0.067971[/C][C]-0.4709[/C][C]0.680083[/C][/ROW]
[ROW][C]46[/C][C]-0.032584[/C][C]-0.2258[/C][C]0.588823[/C][/ROW]
[ROW][C]47[/C][C]-0.029573[/C][C]-0.2049[/C][C]0.580737[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/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=7392&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7392&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
016.92820
10.1170390.81090.210722
2-0.011168-0.07740.530675
30.1112540.77080.222305
40.0908010.62910.266138
50.0907130.62850.266334
60.1358610.94130.175639
7-0.149524-1.03590.847288
8-0.008067-0.05590.522169
90.1078880.74750.229213
10-0.202294-1.40150.916256
11-0.180458-1.25030.891366
12-0.193304-1.33920.906601
13-0.100722-0.69780.755673
140.05570.38590.350638
15-0.155607-1.07810.856806
16-0.174858-1.21140.884173
170.1178380.81640.209151
18-0.054844-0.380.647179
19-0.176492-1.22280.886307
200.008190.05670.477494
210.0617260.42770.335409
22-0.017823-0.12350.548879
230.1450881.00520.15992
24-0.189986-1.31630.902831
25-0.088932-0.61610.729643
260.071910.49820.310308
270.1259650.87270.193584
28-0.053612-0.37140.644026
290.0761110.52730.300204
300.0041030.02840.488721
310.0636660.44110.330563
323.1e-052e-040.499916
33-0.148685-1.03010.845942
340.0520560.36070.35997
350.0571360.39580.346986
360.0171450.11880.45297
370.0746660.51730.303661
38-0.013407-0.09290.53681
39-0.090637-0.62790.733493
400.0394950.27360.392771
41-0.05893-0.40830.657558
42-0.071682-0.49660.689141
430.0945820.65530.257708
440.0521980.36160.359606
45-0.067971-0.47090.680083
46-0.032584-0.22580.588823
47-0.029573-0.20490.580737
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1170390.81090.210722
1-0.025211-0.17470.568962
20.1172230.81210.210358
30.064770.44870.327821
40.0805390.5580.289723
50.1130340.78310.218701
6-0.196741-1.36310.910389
70.0178130.12340.451149
80.0618320.42840.335144
9-0.233733-1.61940.944038
10-0.12932-0.8960.812627
11-0.205843-1.42610.919847
12-0.007864-0.05450.521612
130.0933130.64650.260519
14-0.138277-0.9580.828571
150.0169470.11740.453512
160.1673731.15960.125975
17-0.084217-0.58350.718846
18-0.152656-1.05760.852241
19-0.003385-0.02340.509306
200.1251440.8670.195121
21-0.151782-1.05160.850871
220.0215370.14920.441006
23-0.174713-1.21040.883982
24-0.060118-0.41650.660554
25-0.061304-0.42470.663533
260.1327180.91950.181217
27-0.011338-0.07850.531141
280.105150.72850.234923
29-0.021828-0.15120.559786
30-0.027756-0.19230.575841
31-0.058309-0.4040.655988
32-0.108406-0.75110.771858
33-0.016473-0.11410.545195
34-0.067801-0.46970.679666
350.0104330.07230.471339
360.0751010.52030.302617
37-0.019732-0.13670.554082
380.0171460.11880.452968
39-0.044253-0.30660.619761
40-0.027222-0.18860.5744
410.0106220.07360.470822
42-0.018652-0.12920.55114
43-0.022666-0.1570.562062
44-0.029456-0.20410.580421
45-0.074449-0.51580.695819
460.0509330.35290.362864
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.117039 & 0.8109 & 0.210722 \tabularnewline
1 & -0.025211 & -0.1747 & 0.568962 \tabularnewline
2 & 0.117223 & 0.8121 & 0.210358 \tabularnewline
3 & 0.06477 & 0.4487 & 0.327821 \tabularnewline
4 & 0.080539 & 0.558 & 0.289723 \tabularnewline
5 & 0.113034 & 0.7831 & 0.218701 \tabularnewline
6 & -0.196741 & -1.3631 & 0.910389 \tabularnewline
7 & 0.017813 & 0.1234 & 0.451149 \tabularnewline
8 & 0.061832 & 0.4284 & 0.335144 \tabularnewline
9 & -0.233733 & -1.6194 & 0.944038 \tabularnewline
10 & -0.12932 & -0.896 & 0.812627 \tabularnewline
11 & -0.205843 & -1.4261 & 0.919847 \tabularnewline
12 & -0.007864 & -0.0545 & 0.521612 \tabularnewline
13 & 0.093313 & 0.6465 & 0.260519 \tabularnewline
14 & -0.138277 & -0.958 & 0.828571 \tabularnewline
15 & 0.016947 & 0.1174 & 0.453512 \tabularnewline
16 & 0.167373 & 1.1596 & 0.125975 \tabularnewline
17 & -0.084217 & -0.5835 & 0.718846 \tabularnewline
18 & -0.152656 & -1.0576 & 0.852241 \tabularnewline
19 & -0.003385 & -0.0234 & 0.509306 \tabularnewline
20 & 0.125144 & 0.867 & 0.195121 \tabularnewline
21 & -0.151782 & -1.0516 & 0.850871 \tabularnewline
22 & 0.021537 & 0.1492 & 0.441006 \tabularnewline
23 & -0.174713 & -1.2104 & 0.883982 \tabularnewline
24 & -0.060118 & -0.4165 & 0.660554 \tabularnewline
25 & -0.061304 & -0.4247 & 0.663533 \tabularnewline
26 & 0.132718 & 0.9195 & 0.181217 \tabularnewline
27 & -0.011338 & -0.0785 & 0.531141 \tabularnewline
28 & 0.10515 & 0.7285 & 0.234923 \tabularnewline
29 & -0.021828 & -0.1512 & 0.559786 \tabularnewline
30 & -0.027756 & -0.1923 & 0.575841 \tabularnewline
31 & -0.058309 & -0.404 & 0.655988 \tabularnewline
32 & -0.108406 & -0.7511 & 0.771858 \tabularnewline
33 & -0.016473 & -0.1141 & 0.545195 \tabularnewline
34 & -0.067801 & -0.4697 & 0.679666 \tabularnewline
35 & 0.010433 & 0.0723 & 0.471339 \tabularnewline
36 & 0.075101 & 0.5203 & 0.302617 \tabularnewline
37 & -0.019732 & -0.1367 & 0.554082 \tabularnewline
38 & 0.017146 & 0.1188 & 0.452968 \tabularnewline
39 & -0.044253 & -0.3066 & 0.619761 \tabularnewline
40 & -0.027222 & -0.1886 & 0.5744 \tabularnewline
41 & 0.010622 & 0.0736 & 0.470822 \tabularnewline
42 & -0.018652 & -0.1292 & 0.55114 \tabularnewline
43 & -0.022666 & -0.157 & 0.562062 \tabularnewline
44 & -0.029456 & -0.2041 & 0.580421 \tabularnewline
45 & -0.074449 & -0.5158 & 0.695819 \tabularnewline
46 & 0.050933 & 0.3529 & 0.362864 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7392&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]0.117039[/C][C]0.8109[/C][C]0.210722[/C][/ROW]
[ROW][C]1[/C][C]-0.025211[/C][C]-0.1747[/C][C]0.568962[/C][/ROW]
[ROW][C]2[/C][C]0.117223[/C][C]0.8121[/C][C]0.210358[/C][/ROW]
[ROW][C]3[/C][C]0.06477[/C][C]0.4487[/C][C]0.327821[/C][/ROW]
[ROW][C]4[/C][C]0.080539[/C][C]0.558[/C][C]0.289723[/C][/ROW]
[ROW][C]5[/C][C]0.113034[/C][C]0.7831[/C][C]0.218701[/C][/ROW]
[ROW][C]6[/C][C]-0.196741[/C][C]-1.3631[/C][C]0.910389[/C][/ROW]
[ROW][C]7[/C][C]0.017813[/C][C]0.1234[/C][C]0.451149[/C][/ROW]
[ROW][C]8[/C][C]0.061832[/C][C]0.4284[/C][C]0.335144[/C][/ROW]
[ROW][C]9[/C][C]-0.233733[/C][C]-1.6194[/C][C]0.944038[/C][/ROW]
[ROW][C]10[/C][C]-0.12932[/C][C]-0.896[/C][C]0.812627[/C][/ROW]
[ROW][C]11[/C][C]-0.205843[/C][C]-1.4261[/C][C]0.919847[/C][/ROW]
[ROW][C]12[/C][C]-0.007864[/C][C]-0.0545[/C][C]0.521612[/C][/ROW]
[ROW][C]13[/C][C]0.093313[/C][C]0.6465[/C][C]0.260519[/C][/ROW]
[ROW][C]14[/C][C]-0.138277[/C][C]-0.958[/C][C]0.828571[/C][/ROW]
[ROW][C]15[/C][C]0.016947[/C][C]0.1174[/C][C]0.453512[/C][/ROW]
[ROW][C]16[/C][C]0.167373[/C][C]1.1596[/C][C]0.125975[/C][/ROW]
[ROW][C]17[/C][C]-0.084217[/C][C]-0.5835[/C][C]0.718846[/C][/ROW]
[ROW][C]18[/C][C]-0.152656[/C][C]-1.0576[/C][C]0.852241[/C][/ROW]
[ROW][C]19[/C][C]-0.003385[/C][C]-0.0234[/C][C]0.509306[/C][/ROW]
[ROW][C]20[/C][C]0.125144[/C][C]0.867[/C][C]0.195121[/C][/ROW]
[ROW][C]21[/C][C]-0.151782[/C][C]-1.0516[/C][C]0.850871[/C][/ROW]
[ROW][C]22[/C][C]0.021537[/C][C]0.1492[/C][C]0.441006[/C][/ROW]
[ROW][C]23[/C][C]-0.174713[/C][C]-1.2104[/C][C]0.883982[/C][/ROW]
[ROW][C]24[/C][C]-0.060118[/C][C]-0.4165[/C][C]0.660554[/C][/ROW]
[ROW][C]25[/C][C]-0.061304[/C][C]-0.4247[/C][C]0.663533[/C][/ROW]
[ROW][C]26[/C][C]0.132718[/C][C]0.9195[/C][C]0.181217[/C][/ROW]
[ROW][C]27[/C][C]-0.011338[/C][C]-0.0785[/C][C]0.531141[/C][/ROW]
[ROW][C]28[/C][C]0.10515[/C][C]0.7285[/C][C]0.234923[/C][/ROW]
[ROW][C]29[/C][C]-0.021828[/C][C]-0.1512[/C][C]0.559786[/C][/ROW]
[ROW][C]30[/C][C]-0.027756[/C][C]-0.1923[/C][C]0.575841[/C][/ROW]
[ROW][C]31[/C][C]-0.058309[/C][C]-0.404[/C][C]0.655988[/C][/ROW]
[ROW][C]32[/C][C]-0.108406[/C][C]-0.7511[/C][C]0.771858[/C][/ROW]
[ROW][C]33[/C][C]-0.016473[/C][C]-0.1141[/C][C]0.545195[/C][/ROW]
[ROW][C]34[/C][C]-0.067801[/C][C]-0.4697[/C][C]0.679666[/C][/ROW]
[ROW][C]35[/C][C]0.010433[/C][C]0.0723[/C][C]0.471339[/C][/ROW]
[ROW][C]36[/C][C]0.075101[/C][C]0.5203[/C][C]0.302617[/C][/ROW]
[ROW][C]37[/C][C]-0.019732[/C][C]-0.1367[/C][C]0.554082[/C][/ROW]
[ROW][C]38[/C][C]0.017146[/C][C]0.1188[/C][C]0.452968[/C][/ROW]
[ROW][C]39[/C][C]-0.044253[/C][C]-0.3066[/C][C]0.619761[/C][/ROW]
[ROW][C]40[/C][C]-0.027222[/C][C]-0.1886[/C][C]0.5744[/C][/ROW]
[ROW][C]41[/C][C]0.010622[/C][C]0.0736[/C][C]0.470822[/C][/ROW]
[ROW][C]42[/C][C]-0.018652[/C][C]-0.1292[/C][C]0.55114[/C][/ROW]
[ROW][C]43[/C][C]-0.022666[/C][C]-0.157[/C][C]0.562062[/C][/ROW]
[ROW][C]44[/C][C]-0.029456[/C][C]-0.2041[/C][C]0.580421[/C][/ROW]
[ROW][C]45[/C][C]-0.074449[/C][C]-0.5158[/C][C]0.695819[/C][/ROW]
[ROW][C]46[/C][C]0.050933[/C][C]0.3529[/C][C]0.362864[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/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=7392&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7392&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
00.1170390.81090.210722
1-0.025211-0.17470.568962
20.1172230.81210.210358
30.064770.44870.327821
40.0805390.5580.289723
50.1130340.78310.218701
6-0.196741-1.36310.910389
70.0178130.12340.451149
80.0618320.42840.335144
9-0.233733-1.61940.944038
10-0.12932-0.8960.812627
11-0.205843-1.42610.919847
12-0.007864-0.05450.521612
130.0933130.64650.260519
14-0.138277-0.9580.828571
150.0169470.11740.453512
160.1673731.15960.125975
17-0.084217-0.58350.718846
18-0.152656-1.05760.852241
19-0.003385-0.02340.509306
200.1251440.8670.195121
21-0.151782-1.05160.850871
220.0215370.14920.441006
23-0.174713-1.21040.883982
24-0.060118-0.41650.660554
25-0.061304-0.42470.663533
260.1327180.91950.181217
27-0.011338-0.07850.531141
280.105150.72850.234923
29-0.021828-0.15120.559786
30-0.027756-0.19230.575841
31-0.058309-0.4040.655988
32-0.108406-0.75110.771858
33-0.016473-0.11410.545195
34-0.067801-0.46970.679666
350.0104330.07230.471339
360.0751010.52030.302617
37-0.019732-0.13670.554082
380.0171460.11880.452968
39-0.044253-0.30660.619761
40-0.027222-0.18860.5744
410.0106220.07360.470822
42-0.018652-0.12920.55114
43-0.022666-0.1570.562062
44-0.029456-0.20410.580421
45-0.074449-0.51580.695819
460.0509330.35290.362864
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



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