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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 03:00:34 -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/t1196329850mbnl01zrynu9xwg.htm/, Retrieved Fri, 03 May 2024 04:35:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7343, Retrieved Fri, 03 May 2024 04:35:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsChristel Stuer, Steven Coomans
Estimated Impact181
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 10:00:34] [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=7343&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=7343&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7343&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
016.92820
10.0686340.47550.318291
2-0.056275-0.38990.650826
30.1238060.85780.197646
40.0342380.23720.406752
50.0376820.26110.397579
60.1584821.0980.138843
7-0.125543-0.86980.805627
80.0060890.04220.483262
90.117130.81150.210543
10-0.201954-1.39920.915906
11-0.162493-1.12580.867072
12-0.166641-1.15450.872999
13-0.088363-0.61220.728352
140.0739630.51240.305349
15-0.150396-1.0420.848678
16-0.170269-1.17970.878024
170.1533171.06220.146728
18-0.054993-0.3810.647559
19-0.195946-1.35760.909523
200.0139660.09680.46166
210.0830040.57510.283966
22-0.045735-0.31690.623638
230.1573511.09020.140543
24-0.191592-1.32740.90467
25-0.117204-0.8120.789604
260.0885270.61330.271276
270.1274440.8830.19083
28-0.041755-0.28930.613196
290.0788390.54620.293726
300.0104810.07260.471208
310.0757660.52490.301028
320.0076240.05280.479046
33-0.169109-1.17160.876434
340.068850.4770.317761
350.0614450.42570.336114
360.002640.01830.492741
370.0878260.60850.27287
38-0.00704-0.04880.51935
39-0.104383-0.72320.763462
400.035590.24660.403144
41-0.06199-0.42950.665251
42-0.089843-0.62240.731703
430.0953510.66060.25601
440.0650780.45090.327056
45-0.073128-0.50660.692639
46-0.034774-0.24090.594678
47-0.023698-0.16420.564861

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.068634 & 0.4755 & 0.318291 \tabularnewline
2 & -0.056275 & -0.3899 & 0.650826 \tabularnewline
3 & 0.123806 & 0.8578 & 0.197646 \tabularnewline
4 & 0.034238 & 0.2372 & 0.406752 \tabularnewline
5 & 0.037682 & 0.2611 & 0.397579 \tabularnewline
6 & 0.158482 & 1.098 & 0.138843 \tabularnewline
7 & -0.125543 & -0.8698 & 0.805627 \tabularnewline
8 & 0.006089 & 0.0422 & 0.483262 \tabularnewline
9 & 0.11713 & 0.8115 & 0.210543 \tabularnewline
10 & -0.201954 & -1.3992 & 0.915906 \tabularnewline
11 & -0.162493 & -1.1258 & 0.867072 \tabularnewline
12 & -0.166641 & -1.1545 & 0.872999 \tabularnewline
13 & -0.088363 & -0.6122 & 0.728352 \tabularnewline
14 & 0.073963 & 0.5124 & 0.305349 \tabularnewline
15 & -0.150396 & -1.042 & 0.848678 \tabularnewline
16 & -0.170269 & -1.1797 & 0.878024 \tabularnewline
17 & 0.153317 & 1.0622 & 0.146728 \tabularnewline
18 & -0.054993 & -0.381 & 0.647559 \tabularnewline
19 & -0.195946 & -1.3576 & 0.909523 \tabularnewline
20 & 0.013966 & 0.0968 & 0.46166 \tabularnewline
21 & 0.083004 & 0.5751 & 0.283966 \tabularnewline
22 & -0.045735 & -0.3169 & 0.623638 \tabularnewline
23 & 0.157351 & 1.0902 & 0.140543 \tabularnewline
24 & -0.191592 & -1.3274 & 0.90467 \tabularnewline
25 & -0.117204 & -0.812 & 0.789604 \tabularnewline
26 & 0.088527 & 0.6133 & 0.271276 \tabularnewline
27 & 0.127444 & 0.883 & 0.19083 \tabularnewline
28 & -0.041755 & -0.2893 & 0.613196 \tabularnewline
29 & 0.078839 & 0.5462 & 0.293726 \tabularnewline
30 & 0.010481 & 0.0726 & 0.471208 \tabularnewline
31 & 0.075766 & 0.5249 & 0.301028 \tabularnewline
32 & 0.007624 & 0.0528 & 0.479046 \tabularnewline
33 & -0.169109 & -1.1716 & 0.876434 \tabularnewline
34 & 0.06885 & 0.477 & 0.317761 \tabularnewline
35 & 0.061445 & 0.4257 & 0.336114 \tabularnewline
36 & 0.00264 & 0.0183 & 0.492741 \tabularnewline
37 & 0.087826 & 0.6085 & 0.27287 \tabularnewline
38 & -0.00704 & -0.0488 & 0.51935 \tabularnewline
39 & -0.104383 & -0.7232 & 0.763462 \tabularnewline
40 & 0.03559 & 0.2466 & 0.403144 \tabularnewline
41 & -0.06199 & -0.4295 & 0.665251 \tabularnewline
42 & -0.089843 & -0.6224 & 0.731703 \tabularnewline
43 & 0.095351 & 0.6606 & 0.25601 \tabularnewline
44 & 0.065078 & 0.4509 & 0.327056 \tabularnewline
45 & -0.073128 & -0.5066 & 0.692639 \tabularnewline
46 & -0.034774 & -0.2409 & 0.594678 \tabularnewline
47 & -0.023698 & -0.1642 & 0.564861 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7343&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]0.068634[/C][C]0.4755[/C][C]0.318291[/C][/ROW]
[ROW][C]2[/C][C]-0.056275[/C][C]-0.3899[/C][C]0.650826[/C][/ROW]
[ROW][C]3[/C][C]0.123806[/C][C]0.8578[/C][C]0.197646[/C][/ROW]
[ROW][C]4[/C][C]0.034238[/C][C]0.2372[/C][C]0.406752[/C][/ROW]
[ROW][C]5[/C][C]0.037682[/C][C]0.2611[/C][C]0.397579[/C][/ROW]
[ROW][C]6[/C][C]0.158482[/C][C]1.098[/C][C]0.138843[/C][/ROW]
[ROW][C]7[/C][C]-0.125543[/C][C]-0.8698[/C][C]0.805627[/C][/ROW]
[ROW][C]8[/C][C]0.006089[/C][C]0.0422[/C][C]0.483262[/C][/ROW]
[ROW][C]9[/C][C]0.11713[/C][C]0.8115[/C][C]0.210543[/C][/ROW]
[ROW][C]10[/C][C]-0.201954[/C][C]-1.3992[/C][C]0.915906[/C][/ROW]
[ROW][C]11[/C][C]-0.162493[/C][C]-1.1258[/C][C]0.867072[/C][/ROW]
[ROW][C]12[/C][C]-0.166641[/C][C]-1.1545[/C][C]0.872999[/C][/ROW]
[ROW][C]13[/C][C]-0.088363[/C][C]-0.6122[/C][C]0.728352[/C][/ROW]
[ROW][C]14[/C][C]0.073963[/C][C]0.5124[/C][C]0.305349[/C][/ROW]
[ROW][C]15[/C][C]-0.150396[/C][C]-1.042[/C][C]0.848678[/C][/ROW]
[ROW][C]16[/C][C]-0.170269[/C][C]-1.1797[/C][C]0.878024[/C][/ROW]
[ROW][C]17[/C][C]0.153317[/C][C]1.0622[/C][C]0.146728[/C][/ROW]
[ROW][C]18[/C][C]-0.054993[/C][C]-0.381[/C][C]0.647559[/C][/ROW]
[ROW][C]19[/C][C]-0.195946[/C][C]-1.3576[/C][C]0.909523[/C][/ROW]
[ROW][C]20[/C][C]0.013966[/C][C]0.0968[/C][C]0.46166[/C][/ROW]
[ROW][C]21[/C][C]0.083004[/C][C]0.5751[/C][C]0.283966[/C][/ROW]
[ROW][C]22[/C][C]-0.045735[/C][C]-0.3169[/C][C]0.623638[/C][/ROW]
[ROW][C]23[/C][C]0.157351[/C][C]1.0902[/C][C]0.140543[/C][/ROW]
[ROW][C]24[/C][C]-0.191592[/C][C]-1.3274[/C][C]0.90467[/C][/ROW]
[ROW][C]25[/C][C]-0.117204[/C][C]-0.812[/C][C]0.789604[/C][/ROW]
[ROW][C]26[/C][C]0.088527[/C][C]0.6133[/C][C]0.271276[/C][/ROW]
[ROW][C]27[/C][C]0.127444[/C][C]0.883[/C][C]0.19083[/C][/ROW]
[ROW][C]28[/C][C]-0.041755[/C][C]-0.2893[/C][C]0.613196[/C][/ROW]
[ROW][C]29[/C][C]0.078839[/C][C]0.5462[/C][C]0.293726[/C][/ROW]
[ROW][C]30[/C][C]0.010481[/C][C]0.0726[/C][C]0.471208[/C][/ROW]
[ROW][C]31[/C][C]0.075766[/C][C]0.5249[/C][C]0.301028[/C][/ROW]
[ROW][C]32[/C][C]0.007624[/C][C]0.0528[/C][C]0.479046[/C][/ROW]
[ROW][C]33[/C][C]-0.169109[/C][C]-1.1716[/C][C]0.876434[/C][/ROW]
[ROW][C]34[/C][C]0.06885[/C][C]0.477[/C][C]0.317761[/C][/ROW]
[ROW][C]35[/C][C]0.061445[/C][C]0.4257[/C][C]0.336114[/C][/ROW]
[ROW][C]36[/C][C]0.00264[/C][C]0.0183[/C][C]0.492741[/C][/ROW]
[ROW][C]37[/C][C]0.087826[/C][C]0.6085[/C][C]0.27287[/C][/ROW]
[ROW][C]38[/C][C]-0.00704[/C][C]-0.0488[/C][C]0.51935[/C][/ROW]
[ROW][C]39[/C][C]-0.104383[/C][C]-0.7232[/C][C]0.763462[/C][/ROW]
[ROW][C]40[/C][C]0.03559[/C][C]0.2466[/C][C]0.403144[/C][/ROW]
[ROW][C]41[/C][C]-0.06199[/C][C]-0.4295[/C][C]0.665251[/C][/ROW]
[ROW][C]42[/C][C]-0.089843[/C][C]-0.6224[/C][C]0.731703[/C][/ROW]
[ROW][C]43[/C][C]0.095351[/C][C]0.6606[/C][C]0.25601[/C][/ROW]
[ROW][C]44[/C][C]0.065078[/C][C]0.4509[/C][C]0.327056[/C][/ROW]
[ROW][C]45[/C][C]-0.073128[/C][C]-0.5066[/C][C]0.692639[/C][/ROW]
[ROW][C]46[/C][C]-0.034774[/C][C]-0.2409[/C][C]0.594678[/C][/ROW]
[ROW][C]47[/C][C]-0.023698[/C][C]-0.1642[/C][C]0.564861[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7343&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7343&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
10.0686340.47550.318291
2-0.056275-0.38990.650826
30.1238060.85780.197646
40.0342380.23720.406752
50.0376820.26110.397579
60.1584821.0980.138843
7-0.125543-0.86980.805627
80.0060890.04220.483262
90.117130.81150.210543
10-0.201954-1.39920.915906
11-0.162493-1.12580.867072
12-0.166641-1.15450.872999
13-0.088363-0.61220.728352
140.0739630.51240.305349
15-0.150396-1.0420.848678
16-0.170269-1.17970.878024
170.1533171.06220.146728
18-0.054993-0.3810.647559
19-0.195946-1.35760.909523
200.0139660.09680.46166
210.0830040.57510.283966
22-0.045735-0.31690.623638
230.1573511.09020.140543
24-0.191592-1.32740.90467
25-0.117204-0.8120.789604
260.0885270.61330.271276
270.1274440.8830.19083
28-0.041755-0.28930.613196
290.0788390.54620.293726
300.0104810.07260.471208
310.0757660.52490.301028
320.0076240.05280.479046
33-0.169109-1.17160.876434
340.068850.4770.317761
350.0614450.42570.336114
360.002640.01830.492741
370.0878260.60850.27287
38-0.00704-0.04880.51935
39-0.104383-0.72320.763462
400.035590.24660.403144
41-0.06199-0.42950.665251
42-0.089843-0.62240.731703
430.0953510.66060.25601
440.0650780.45090.327056
45-0.073128-0.50660.692639
46-0.034774-0.24090.594678
47-0.023698-0.16420.564861







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0686340.47550.318291
1-0.061274-0.42450.663458
20.1332360.92310.18029
30.0113670.07880.468778
40.0516660.3580.360974
50.1422710.98570.164616
6-0.155195-1.07520.856174
70.0422650.29280.385461
80.0589330.40830.342436
9-0.209325-1.45020.923254
10-0.129944-0.90030.813766
11-0.230271-1.59540.941402
12-0.011266-0.07810.530944
130.085230.59050.278816
14-0.158868-1.10070.861735
15-0.014668-0.10160.540259
160.1760381.21960.114282
17-0.051488-0.35670.638567
18-0.14976-1.03760.847665
19-0.030744-0.2130.583887
200.1552341.07550.143765
21-0.153746-1.06520.85394
220.0218090.15110.440267
23-0.200069-1.38610.913941
24-0.071795-0.49740.689414
25-0.054164-0.37530.64544
260.1169830.81050.210832
270.0264870.18350.427585
280.0896620.62120.268704
29-0.020682-0.14330.55667
300.0308810.2140.415746
31-0.048544-0.33630.630953
32-0.12116-0.83940.797303
33-0.031057-0.21520.584728
34-0.095773-0.66350.744918
350.0066680.04620.481673
360.0530760.36770.357348
37-0.002719-0.01880.507476
380.0303090.210.417284
39-0.054865-0.38010.647232
400.0057020.03950.484327
410.0146780.10170.459713
42-0.002955-0.02050.508125
43-0.040741-0.28230.610521
44-0.039753-0.27540.60791
45-0.071077-0.49240.687671
460.0575210.39850.346007
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.068634 & 0.4755 & 0.318291 \tabularnewline
1 & -0.061274 & -0.4245 & 0.663458 \tabularnewline
2 & 0.133236 & 0.9231 & 0.18029 \tabularnewline
3 & 0.011367 & 0.0788 & 0.468778 \tabularnewline
4 & 0.051666 & 0.358 & 0.360974 \tabularnewline
5 & 0.142271 & 0.9857 & 0.164616 \tabularnewline
6 & -0.155195 & -1.0752 & 0.856174 \tabularnewline
7 & 0.042265 & 0.2928 & 0.385461 \tabularnewline
8 & 0.058933 & 0.4083 & 0.342436 \tabularnewline
9 & -0.209325 & -1.4502 & 0.923254 \tabularnewline
10 & -0.129944 & -0.9003 & 0.813766 \tabularnewline
11 & -0.230271 & -1.5954 & 0.941402 \tabularnewline
12 & -0.011266 & -0.0781 & 0.530944 \tabularnewline
13 & 0.08523 & 0.5905 & 0.278816 \tabularnewline
14 & -0.158868 & -1.1007 & 0.861735 \tabularnewline
15 & -0.014668 & -0.1016 & 0.540259 \tabularnewline
16 & 0.176038 & 1.2196 & 0.114282 \tabularnewline
17 & -0.051488 & -0.3567 & 0.638567 \tabularnewline
18 & -0.14976 & -1.0376 & 0.847665 \tabularnewline
19 & -0.030744 & -0.213 & 0.583887 \tabularnewline
20 & 0.155234 & 1.0755 & 0.143765 \tabularnewline
21 & -0.153746 & -1.0652 & 0.85394 \tabularnewline
22 & 0.021809 & 0.1511 & 0.440267 \tabularnewline
23 & -0.200069 & -1.3861 & 0.913941 \tabularnewline
24 & -0.071795 & -0.4974 & 0.689414 \tabularnewline
25 & -0.054164 & -0.3753 & 0.64544 \tabularnewline
26 & 0.116983 & 0.8105 & 0.210832 \tabularnewline
27 & 0.026487 & 0.1835 & 0.427585 \tabularnewline
28 & 0.089662 & 0.6212 & 0.268704 \tabularnewline
29 & -0.020682 & -0.1433 & 0.55667 \tabularnewline
30 & 0.030881 & 0.214 & 0.415746 \tabularnewline
31 & -0.048544 & -0.3363 & 0.630953 \tabularnewline
32 & -0.12116 & -0.8394 & 0.797303 \tabularnewline
33 & -0.031057 & -0.2152 & 0.584728 \tabularnewline
34 & -0.095773 & -0.6635 & 0.744918 \tabularnewline
35 & 0.006668 & 0.0462 & 0.481673 \tabularnewline
36 & 0.053076 & 0.3677 & 0.357348 \tabularnewline
37 & -0.002719 & -0.0188 & 0.507476 \tabularnewline
38 & 0.030309 & 0.21 & 0.417284 \tabularnewline
39 & -0.054865 & -0.3801 & 0.647232 \tabularnewline
40 & 0.005702 & 0.0395 & 0.484327 \tabularnewline
41 & 0.014678 & 0.1017 & 0.459713 \tabularnewline
42 & -0.002955 & -0.0205 & 0.508125 \tabularnewline
43 & -0.040741 & -0.2823 & 0.610521 \tabularnewline
44 & -0.039753 & -0.2754 & 0.60791 \tabularnewline
45 & -0.071077 & -0.4924 & 0.687671 \tabularnewline
46 & 0.057521 & 0.3985 & 0.346007 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7343&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]0.068634[/C][C]0.4755[/C][C]0.318291[/C][/ROW]
[ROW][C]1[/C][C]-0.061274[/C][C]-0.4245[/C][C]0.663458[/C][/ROW]
[ROW][C]2[/C][C]0.133236[/C][C]0.9231[/C][C]0.18029[/C][/ROW]
[ROW][C]3[/C][C]0.011367[/C][C]0.0788[/C][C]0.468778[/C][/ROW]
[ROW][C]4[/C][C]0.051666[/C][C]0.358[/C][C]0.360974[/C][/ROW]
[ROW][C]5[/C][C]0.142271[/C][C]0.9857[/C][C]0.164616[/C][/ROW]
[ROW][C]6[/C][C]-0.155195[/C][C]-1.0752[/C][C]0.856174[/C][/ROW]
[ROW][C]7[/C][C]0.042265[/C][C]0.2928[/C][C]0.385461[/C][/ROW]
[ROW][C]8[/C][C]0.058933[/C][C]0.4083[/C][C]0.342436[/C][/ROW]
[ROW][C]9[/C][C]-0.209325[/C][C]-1.4502[/C][C]0.923254[/C][/ROW]
[ROW][C]10[/C][C]-0.129944[/C][C]-0.9003[/C][C]0.813766[/C][/ROW]
[ROW][C]11[/C][C]-0.230271[/C][C]-1.5954[/C][C]0.941402[/C][/ROW]
[ROW][C]12[/C][C]-0.011266[/C][C]-0.0781[/C][C]0.530944[/C][/ROW]
[ROW][C]13[/C][C]0.08523[/C][C]0.5905[/C][C]0.278816[/C][/ROW]
[ROW][C]14[/C][C]-0.158868[/C][C]-1.1007[/C][C]0.861735[/C][/ROW]
[ROW][C]15[/C][C]-0.014668[/C][C]-0.1016[/C][C]0.540259[/C][/ROW]
[ROW][C]16[/C][C]0.176038[/C][C]1.2196[/C][C]0.114282[/C][/ROW]
[ROW][C]17[/C][C]-0.051488[/C][C]-0.3567[/C][C]0.638567[/C][/ROW]
[ROW][C]18[/C][C]-0.14976[/C][C]-1.0376[/C][C]0.847665[/C][/ROW]
[ROW][C]19[/C][C]-0.030744[/C][C]-0.213[/C][C]0.583887[/C][/ROW]
[ROW][C]20[/C][C]0.155234[/C][C]1.0755[/C][C]0.143765[/C][/ROW]
[ROW][C]21[/C][C]-0.153746[/C][C]-1.0652[/C][C]0.85394[/C][/ROW]
[ROW][C]22[/C][C]0.021809[/C][C]0.1511[/C][C]0.440267[/C][/ROW]
[ROW][C]23[/C][C]-0.200069[/C][C]-1.3861[/C][C]0.913941[/C][/ROW]
[ROW][C]24[/C][C]-0.071795[/C][C]-0.4974[/C][C]0.689414[/C][/ROW]
[ROW][C]25[/C][C]-0.054164[/C][C]-0.3753[/C][C]0.64544[/C][/ROW]
[ROW][C]26[/C][C]0.116983[/C][C]0.8105[/C][C]0.210832[/C][/ROW]
[ROW][C]27[/C][C]0.026487[/C][C]0.1835[/C][C]0.427585[/C][/ROW]
[ROW][C]28[/C][C]0.089662[/C][C]0.6212[/C][C]0.268704[/C][/ROW]
[ROW][C]29[/C][C]-0.020682[/C][C]-0.1433[/C][C]0.55667[/C][/ROW]
[ROW][C]30[/C][C]0.030881[/C][C]0.214[/C][C]0.415746[/C][/ROW]
[ROW][C]31[/C][C]-0.048544[/C][C]-0.3363[/C][C]0.630953[/C][/ROW]
[ROW][C]32[/C][C]-0.12116[/C][C]-0.8394[/C][C]0.797303[/C][/ROW]
[ROW][C]33[/C][C]-0.031057[/C][C]-0.2152[/C][C]0.584728[/C][/ROW]
[ROW][C]34[/C][C]-0.095773[/C][C]-0.6635[/C][C]0.744918[/C][/ROW]
[ROW][C]35[/C][C]0.006668[/C][C]0.0462[/C][C]0.481673[/C][/ROW]
[ROW][C]36[/C][C]0.053076[/C][C]0.3677[/C][C]0.357348[/C][/ROW]
[ROW][C]37[/C][C]-0.002719[/C][C]-0.0188[/C][C]0.507476[/C][/ROW]
[ROW][C]38[/C][C]0.030309[/C][C]0.21[/C][C]0.417284[/C][/ROW]
[ROW][C]39[/C][C]-0.054865[/C][C]-0.3801[/C][C]0.647232[/C][/ROW]
[ROW][C]40[/C][C]0.005702[/C][C]0.0395[/C][C]0.484327[/C][/ROW]
[ROW][C]41[/C][C]0.014678[/C][C]0.1017[/C][C]0.459713[/C][/ROW]
[ROW][C]42[/C][C]-0.002955[/C][C]-0.0205[/C][C]0.508125[/C][/ROW]
[ROW][C]43[/C][C]-0.040741[/C][C]-0.2823[/C][C]0.610521[/C][/ROW]
[ROW][C]44[/C][C]-0.039753[/C][C]-0.2754[/C][C]0.60791[/C][/ROW]
[ROW][C]45[/C][C]-0.071077[/C][C]-0.4924[/C][C]0.687671[/C][/ROW]
[ROW][C]46[/C][C]0.057521[/C][C]0.3985[/C][C]0.346007[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7343&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7343&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
00.0686340.47550.318291
1-0.061274-0.42450.663458
20.1332360.92310.18029
30.0113670.07880.468778
40.0516660.3580.360974
50.1422710.98570.164616
6-0.155195-1.07520.856174
70.0422650.29280.385461
80.0589330.40830.342436
9-0.209325-1.45020.923254
10-0.129944-0.90030.813766
11-0.230271-1.59540.941402
12-0.011266-0.07810.530944
130.085230.59050.278816
14-0.158868-1.10070.861735
15-0.014668-0.10160.540259
160.1760381.21960.114282
17-0.051488-0.35670.638567
18-0.14976-1.03760.847665
19-0.030744-0.2130.583887
200.1552341.07550.143765
21-0.153746-1.06520.85394
220.0218090.15110.440267
23-0.200069-1.38610.913941
24-0.071795-0.49740.689414
25-0.054164-0.37530.64544
260.1169830.81050.210832
270.0264870.18350.427585
280.0896620.62120.268704
29-0.020682-0.14330.55667
300.0308810.2140.415746
31-0.048544-0.33630.630953
32-0.12116-0.83940.797303
33-0.031057-0.21520.584728
34-0.095773-0.66350.744918
350.0066680.04620.481673
360.0530760.36770.357348
37-0.002719-0.01880.507476
380.0303090.210.417284
39-0.054865-0.38010.647232
400.0057020.03950.484327
410.0146780.10170.459713
42-0.002955-0.02050.508125
43-0.040741-0.28230.610521
44-0.039753-0.27540.60791
45-0.071077-0.49240.687671
460.0575210.39850.346007
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')