Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 15 Nov 2011 14:25:00 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t1321385155ulzz3fn6zu3rvi1.htm/, Retrieved Fri, 29 Mar 2024 00:31:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143410, Retrieved Fri, 29 Mar 2024 00:31:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Gemiddelde prijs ...] [2011-11-15 19:25:00] [27830603f12132457d99d827849f2486] [Current]
Feedback Forum

Post a new message
Dataseries X:
3,11
3,1
3,13
3,14
3,16
3,17
3,19
3,18
3,17
3,17
3,2
3,21
3,25
3,22
3,25
3,31
3,35
3,37
3,38
3,38
3,39
3,44
3,56
3,65
3,69
3,71
3,71
3,74
3,75
3,77
3,75
3,78
3,8
3,78
3,79
3,8
3,82
3,82
3,84
3,86
3,8
3,85
3,78
3,79
3,77
3,78
3,77
3,76
3,78
3,76
3,75
3,71
3,72
3,7
3,69
3,7
3,72
3,73
3,73
3,69




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143410&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143410&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143410&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1976751.51840.067131
20.3161392.42830.009118
30.0055370.04250.48311
40.1114030.85570.197812
50.1562871.20050.117378
60.1419541.09040.139992
70.2983042.29130.012766
80.0649650.4990.309817
90.1531211.17610.122131
100.0795090.61070.271865
110.0311250.23910.405939
120.1315441.01040.158213
130.0240030.18440.427178
14-0.002929-0.02250.491065
15-0.117986-0.90630.18424
160.0076910.05910.476547
170.0417720.32090.374726
18-0.159068-1.22180.113316
19-0.013734-0.10550.458172
20-0.115858-0.88990.18856
21-0.069331-0.53250.298175
22-0.119968-0.92150.180274
23-0.071706-0.55080.291932
24-0.098759-0.75860.225562
25-0.080836-0.62090.268525
26-0.07901-0.60690.273126
27-0.127456-0.9790.165787
28-0.265732-2.04110.02286
29-0.043196-0.33180.370611
30-0.192031-1.4750.072763
31-0.08799-0.67590.250884
32-0.104179-0.80020.213398
330.0287090.22050.413114
34-0.032304-0.24810.402447
35-0.068243-0.52420.301058
36-0.138385-1.0630.146067
37-0.133212-1.02320.15519
38-0.083307-0.63990.262359
39-0.011644-0.08940.464516
40-0.022204-0.17060.432579
410.0225890.17350.431424
42-0.00769-0.05910.476548
43-0.02747-0.2110.416806
44-0.036448-0.280.390244
45-0.011465-0.08810.465062
460.0585550.44980.327264
47-0.050782-0.39010.348947
48-0.007815-0.060.476168

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.197675 & 1.5184 & 0.067131 \tabularnewline
2 & 0.316139 & 2.4283 & 0.009118 \tabularnewline
3 & 0.005537 & 0.0425 & 0.48311 \tabularnewline
4 & 0.111403 & 0.8557 & 0.197812 \tabularnewline
5 & 0.156287 & 1.2005 & 0.117378 \tabularnewline
6 & 0.141954 & 1.0904 & 0.139992 \tabularnewline
7 & 0.298304 & 2.2913 & 0.012766 \tabularnewline
8 & 0.064965 & 0.499 & 0.309817 \tabularnewline
9 & 0.153121 & 1.1761 & 0.122131 \tabularnewline
10 & 0.079509 & 0.6107 & 0.271865 \tabularnewline
11 & 0.031125 & 0.2391 & 0.405939 \tabularnewline
12 & 0.131544 & 1.0104 & 0.158213 \tabularnewline
13 & 0.024003 & 0.1844 & 0.427178 \tabularnewline
14 & -0.002929 & -0.0225 & 0.491065 \tabularnewline
15 & -0.117986 & -0.9063 & 0.18424 \tabularnewline
16 & 0.007691 & 0.0591 & 0.476547 \tabularnewline
17 & 0.041772 & 0.3209 & 0.374726 \tabularnewline
18 & -0.159068 & -1.2218 & 0.113316 \tabularnewline
19 & -0.013734 & -0.1055 & 0.458172 \tabularnewline
20 & -0.115858 & -0.8899 & 0.18856 \tabularnewline
21 & -0.069331 & -0.5325 & 0.298175 \tabularnewline
22 & -0.119968 & -0.9215 & 0.180274 \tabularnewline
23 & -0.071706 & -0.5508 & 0.291932 \tabularnewline
24 & -0.098759 & -0.7586 & 0.225562 \tabularnewline
25 & -0.080836 & -0.6209 & 0.268525 \tabularnewline
26 & -0.07901 & -0.6069 & 0.273126 \tabularnewline
27 & -0.127456 & -0.979 & 0.165787 \tabularnewline
28 & -0.265732 & -2.0411 & 0.02286 \tabularnewline
29 & -0.043196 & -0.3318 & 0.370611 \tabularnewline
30 & -0.192031 & -1.475 & 0.072763 \tabularnewline
31 & -0.08799 & -0.6759 & 0.250884 \tabularnewline
32 & -0.104179 & -0.8002 & 0.213398 \tabularnewline
33 & 0.028709 & 0.2205 & 0.413114 \tabularnewline
34 & -0.032304 & -0.2481 & 0.402447 \tabularnewline
35 & -0.068243 & -0.5242 & 0.301058 \tabularnewline
36 & -0.138385 & -1.063 & 0.146067 \tabularnewline
37 & -0.133212 & -1.0232 & 0.15519 \tabularnewline
38 & -0.083307 & -0.6399 & 0.262359 \tabularnewline
39 & -0.011644 & -0.0894 & 0.464516 \tabularnewline
40 & -0.022204 & -0.1706 & 0.432579 \tabularnewline
41 & 0.022589 & 0.1735 & 0.431424 \tabularnewline
42 & -0.00769 & -0.0591 & 0.476548 \tabularnewline
43 & -0.02747 & -0.211 & 0.416806 \tabularnewline
44 & -0.036448 & -0.28 & 0.390244 \tabularnewline
45 & -0.011465 & -0.0881 & 0.465062 \tabularnewline
46 & 0.058555 & 0.4498 & 0.327264 \tabularnewline
47 & -0.050782 & -0.3901 & 0.348947 \tabularnewline
48 & -0.007815 & -0.06 & 0.476168 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143410&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.197675[/C][C]1.5184[/C][C]0.067131[/C][/ROW]
[ROW][C]2[/C][C]0.316139[/C][C]2.4283[/C][C]0.009118[/C][/ROW]
[ROW][C]3[/C][C]0.005537[/C][C]0.0425[/C][C]0.48311[/C][/ROW]
[ROW][C]4[/C][C]0.111403[/C][C]0.8557[/C][C]0.197812[/C][/ROW]
[ROW][C]5[/C][C]0.156287[/C][C]1.2005[/C][C]0.117378[/C][/ROW]
[ROW][C]6[/C][C]0.141954[/C][C]1.0904[/C][C]0.139992[/C][/ROW]
[ROW][C]7[/C][C]0.298304[/C][C]2.2913[/C][C]0.012766[/C][/ROW]
[ROW][C]8[/C][C]0.064965[/C][C]0.499[/C][C]0.309817[/C][/ROW]
[ROW][C]9[/C][C]0.153121[/C][C]1.1761[/C][C]0.122131[/C][/ROW]
[ROW][C]10[/C][C]0.079509[/C][C]0.6107[/C][C]0.271865[/C][/ROW]
[ROW][C]11[/C][C]0.031125[/C][C]0.2391[/C][C]0.405939[/C][/ROW]
[ROW][C]12[/C][C]0.131544[/C][C]1.0104[/C][C]0.158213[/C][/ROW]
[ROW][C]13[/C][C]0.024003[/C][C]0.1844[/C][C]0.427178[/C][/ROW]
[ROW][C]14[/C][C]-0.002929[/C][C]-0.0225[/C][C]0.491065[/C][/ROW]
[ROW][C]15[/C][C]-0.117986[/C][C]-0.9063[/C][C]0.18424[/C][/ROW]
[ROW][C]16[/C][C]0.007691[/C][C]0.0591[/C][C]0.476547[/C][/ROW]
[ROW][C]17[/C][C]0.041772[/C][C]0.3209[/C][C]0.374726[/C][/ROW]
[ROW][C]18[/C][C]-0.159068[/C][C]-1.2218[/C][C]0.113316[/C][/ROW]
[ROW][C]19[/C][C]-0.013734[/C][C]-0.1055[/C][C]0.458172[/C][/ROW]
[ROW][C]20[/C][C]-0.115858[/C][C]-0.8899[/C][C]0.18856[/C][/ROW]
[ROW][C]21[/C][C]-0.069331[/C][C]-0.5325[/C][C]0.298175[/C][/ROW]
[ROW][C]22[/C][C]-0.119968[/C][C]-0.9215[/C][C]0.180274[/C][/ROW]
[ROW][C]23[/C][C]-0.071706[/C][C]-0.5508[/C][C]0.291932[/C][/ROW]
[ROW][C]24[/C][C]-0.098759[/C][C]-0.7586[/C][C]0.225562[/C][/ROW]
[ROW][C]25[/C][C]-0.080836[/C][C]-0.6209[/C][C]0.268525[/C][/ROW]
[ROW][C]26[/C][C]-0.07901[/C][C]-0.6069[/C][C]0.273126[/C][/ROW]
[ROW][C]27[/C][C]-0.127456[/C][C]-0.979[/C][C]0.165787[/C][/ROW]
[ROW][C]28[/C][C]-0.265732[/C][C]-2.0411[/C][C]0.02286[/C][/ROW]
[ROW][C]29[/C][C]-0.043196[/C][C]-0.3318[/C][C]0.370611[/C][/ROW]
[ROW][C]30[/C][C]-0.192031[/C][C]-1.475[/C][C]0.072763[/C][/ROW]
[ROW][C]31[/C][C]-0.08799[/C][C]-0.6759[/C][C]0.250884[/C][/ROW]
[ROW][C]32[/C][C]-0.104179[/C][C]-0.8002[/C][C]0.213398[/C][/ROW]
[ROW][C]33[/C][C]0.028709[/C][C]0.2205[/C][C]0.413114[/C][/ROW]
[ROW][C]34[/C][C]-0.032304[/C][C]-0.2481[/C][C]0.402447[/C][/ROW]
[ROW][C]35[/C][C]-0.068243[/C][C]-0.5242[/C][C]0.301058[/C][/ROW]
[ROW][C]36[/C][C]-0.138385[/C][C]-1.063[/C][C]0.146067[/C][/ROW]
[ROW][C]37[/C][C]-0.133212[/C][C]-1.0232[/C][C]0.15519[/C][/ROW]
[ROW][C]38[/C][C]-0.083307[/C][C]-0.6399[/C][C]0.262359[/C][/ROW]
[ROW][C]39[/C][C]-0.011644[/C][C]-0.0894[/C][C]0.464516[/C][/ROW]
[ROW][C]40[/C][C]-0.022204[/C][C]-0.1706[/C][C]0.432579[/C][/ROW]
[ROW][C]41[/C][C]0.022589[/C][C]0.1735[/C][C]0.431424[/C][/ROW]
[ROW][C]42[/C][C]-0.00769[/C][C]-0.0591[/C][C]0.476548[/C][/ROW]
[ROW][C]43[/C][C]-0.02747[/C][C]-0.211[/C][C]0.416806[/C][/ROW]
[ROW][C]44[/C][C]-0.036448[/C][C]-0.28[/C][C]0.390244[/C][/ROW]
[ROW][C]45[/C][C]-0.011465[/C][C]-0.0881[/C][C]0.465062[/C][/ROW]
[ROW][C]46[/C][C]0.058555[/C][C]0.4498[/C][C]0.327264[/C][/ROW]
[ROW][C]47[/C][C]-0.050782[/C][C]-0.3901[/C][C]0.348947[/C][/ROW]
[ROW][C]48[/C][C]-0.007815[/C][C]-0.06[/C][C]0.476168[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143410&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143410&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1976751.51840.067131
20.3161392.42830.009118
30.0055370.04250.48311
40.1114030.85570.197812
50.1562871.20050.117378
60.1419541.09040.139992
70.2983042.29130.012766
80.0649650.4990.309817
90.1531211.17610.122131
100.0795090.61070.271865
110.0311250.23910.405939
120.1315441.01040.158213
130.0240030.18440.427178
14-0.002929-0.02250.491065
15-0.117986-0.90630.18424
160.0076910.05910.476547
170.0417720.32090.374726
18-0.159068-1.22180.113316
19-0.013734-0.10550.458172
20-0.115858-0.88990.18856
21-0.069331-0.53250.298175
22-0.119968-0.92150.180274
23-0.071706-0.55080.291932
24-0.098759-0.75860.225562
25-0.080836-0.62090.268525
26-0.07901-0.60690.273126
27-0.127456-0.9790.165787
28-0.265732-2.04110.02286
29-0.043196-0.33180.370611
30-0.192031-1.4750.072763
31-0.08799-0.67590.250884
32-0.104179-0.80020.213398
330.0287090.22050.413114
34-0.032304-0.24810.402447
35-0.068243-0.52420.301058
36-0.138385-1.0630.146067
37-0.133212-1.02320.15519
38-0.083307-0.63990.262359
39-0.011644-0.08940.464516
40-0.022204-0.17060.432579
410.0225890.17350.431424
42-0.00769-0.05910.476548
43-0.02747-0.2110.416806
44-0.036448-0.280.390244
45-0.011465-0.08810.465062
460.0585550.44980.327264
47-0.050782-0.39010.348947
48-0.007815-0.060.476168







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1976751.51840.067131
20.2883312.21470.015327
3-0.108886-0.83640.20316
40.0413270.31740.376015
50.1881321.44510.076864
60.0499860.3840.351197
70.2131661.63740.053439
8-0.055202-0.4240.336547
90.0090850.06980.472303
100.0934550.71780.237845
11-0.10189-0.78260.218486
120.0692960.53230.298268
13-0.020848-0.16010.436661
14-0.185133-1.4220.080141
15-0.098929-0.75990.225173
160.0458160.35190.363077
170.0518390.39820.345965
18-0.260131-1.99810.025161
19-0.017306-0.13290.44735
200.0768270.59010.278683
21-0.083193-0.6390.262642
22-0.04861-0.37340.355101
230.0214630.16490.43481
24-0.043505-0.33420.369719
250.0737270.56630.286667
26-0.044282-0.34010.367481
27-0.02868-0.22030.4132
28-0.209652-1.61040.056328
290.0846160.64990.259124
30-0.023253-0.17860.429427
31-0.077168-0.59270.277812
320.0305860.23490.407535
330.1006840.77340.221196
340.0474990.36480.358264
350.0432130.33190.370561
36-0.238133-1.82910.036217
370.0414630.31850.375622
380.064760.49740.310367
39-0.031259-0.24010.405541
40-0.007696-0.05910.476532
410.0290420.22310.412124
42-0.050901-0.3910.348611
43-0.007018-0.05390.478597
440.0541750.41610.339413
45-0.024401-0.18740.425985
46-0.119446-0.91750.181313
470.0279620.21480.415339
480.0103570.07960.468431

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.197675 & 1.5184 & 0.067131 \tabularnewline
2 & 0.288331 & 2.2147 & 0.015327 \tabularnewline
3 & -0.108886 & -0.8364 & 0.20316 \tabularnewline
4 & 0.041327 & 0.3174 & 0.376015 \tabularnewline
5 & 0.188132 & 1.4451 & 0.076864 \tabularnewline
6 & 0.049986 & 0.384 & 0.351197 \tabularnewline
7 & 0.213166 & 1.6374 & 0.053439 \tabularnewline
8 & -0.055202 & -0.424 & 0.336547 \tabularnewline
9 & 0.009085 & 0.0698 & 0.472303 \tabularnewline
10 & 0.093455 & 0.7178 & 0.237845 \tabularnewline
11 & -0.10189 & -0.7826 & 0.218486 \tabularnewline
12 & 0.069296 & 0.5323 & 0.298268 \tabularnewline
13 & -0.020848 & -0.1601 & 0.436661 \tabularnewline
14 & -0.185133 & -1.422 & 0.080141 \tabularnewline
15 & -0.098929 & -0.7599 & 0.225173 \tabularnewline
16 & 0.045816 & 0.3519 & 0.363077 \tabularnewline
17 & 0.051839 & 0.3982 & 0.345965 \tabularnewline
18 & -0.260131 & -1.9981 & 0.025161 \tabularnewline
19 & -0.017306 & -0.1329 & 0.44735 \tabularnewline
20 & 0.076827 & 0.5901 & 0.278683 \tabularnewline
21 & -0.083193 & -0.639 & 0.262642 \tabularnewline
22 & -0.04861 & -0.3734 & 0.355101 \tabularnewline
23 & 0.021463 & 0.1649 & 0.43481 \tabularnewline
24 & -0.043505 & -0.3342 & 0.369719 \tabularnewline
25 & 0.073727 & 0.5663 & 0.286667 \tabularnewline
26 & -0.044282 & -0.3401 & 0.367481 \tabularnewline
27 & -0.02868 & -0.2203 & 0.4132 \tabularnewline
28 & -0.209652 & -1.6104 & 0.056328 \tabularnewline
29 & 0.084616 & 0.6499 & 0.259124 \tabularnewline
30 & -0.023253 & -0.1786 & 0.429427 \tabularnewline
31 & -0.077168 & -0.5927 & 0.277812 \tabularnewline
32 & 0.030586 & 0.2349 & 0.407535 \tabularnewline
33 & 0.100684 & 0.7734 & 0.221196 \tabularnewline
34 & 0.047499 & 0.3648 & 0.358264 \tabularnewline
35 & 0.043213 & 0.3319 & 0.370561 \tabularnewline
36 & -0.238133 & -1.8291 & 0.036217 \tabularnewline
37 & 0.041463 & 0.3185 & 0.375622 \tabularnewline
38 & 0.06476 & 0.4974 & 0.310367 \tabularnewline
39 & -0.031259 & -0.2401 & 0.405541 \tabularnewline
40 & -0.007696 & -0.0591 & 0.476532 \tabularnewline
41 & 0.029042 & 0.2231 & 0.412124 \tabularnewline
42 & -0.050901 & -0.391 & 0.348611 \tabularnewline
43 & -0.007018 & -0.0539 & 0.478597 \tabularnewline
44 & 0.054175 & 0.4161 & 0.339413 \tabularnewline
45 & -0.024401 & -0.1874 & 0.425985 \tabularnewline
46 & -0.119446 & -0.9175 & 0.181313 \tabularnewline
47 & 0.027962 & 0.2148 & 0.415339 \tabularnewline
48 & 0.010357 & 0.0796 & 0.468431 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143410&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.197675[/C][C]1.5184[/C][C]0.067131[/C][/ROW]
[ROW][C]2[/C][C]0.288331[/C][C]2.2147[/C][C]0.015327[/C][/ROW]
[ROW][C]3[/C][C]-0.108886[/C][C]-0.8364[/C][C]0.20316[/C][/ROW]
[ROW][C]4[/C][C]0.041327[/C][C]0.3174[/C][C]0.376015[/C][/ROW]
[ROW][C]5[/C][C]0.188132[/C][C]1.4451[/C][C]0.076864[/C][/ROW]
[ROW][C]6[/C][C]0.049986[/C][C]0.384[/C][C]0.351197[/C][/ROW]
[ROW][C]7[/C][C]0.213166[/C][C]1.6374[/C][C]0.053439[/C][/ROW]
[ROW][C]8[/C][C]-0.055202[/C][C]-0.424[/C][C]0.336547[/C][/ROW]
[ROW][C]9[/C][C]0.009085[/C][C]0.0698[/C][C]0.472303[/C][/ROW]
[ROW][C]10[/C][C]0.093455[/C][C]0.7178[/C][C]0.237845[/C][/ROW]
[ROW][C]11[/C][C]-0.10189[/C][C]-0.7826[/C][C]0.218486[/C][/ROW]
[ROW][C]12[/C][C]0.069296[/C][C]0.5323[/C][C]0.298268[/C][/ROW]
[ROW][C]13[/C][C]-0.020848[/C][C]-0.1601[/C][C]0.436661[/C][/ROW]
[ROW][C]14[/C][C]-0.185133[/C][C]-1.422[/C][C]0.080141[/C][/ROW]
[ROW][C]15[/C][C]-0.098929[/C][C]-0.7599[/C][C]0.225173[/C][/ROW]
[ROW][C]16[/C][C]0.045816[/C][C]0.3519[/C][C]0.363077[/C][/ROW]
[ROW][C]17[/C][C]0.051839[/C][C]0.3982[/C][C]0.345965[/C][/ROW]
[ROW][C]18[/C][C]-0.260131[/C][C]-1.9981[/C][C]0.025161[/C][/ROW]
[ROW][C]19[/C][C]-0.017306[/C][C]-0.1329[/C][C]0.44735[/C][/ROW]
[ROW][C]20[/C][C]0.076827[/C][C]0.5901[/C][C]0.278683[/C][/ROW]
[ROW][C]21[/C][C]-0.083193[/C][C]-0.639[/C][C]0.262642[/C][/ROW]
[ROW][C]22[/C][C]-0.04861[/C][C]-0.3734[/C][C]0.355101[/C][/ROW]
[ROW][C]23[/C][C]0.021463[/C][C]0.1649[/C][C]0.43481[/C][/ROW]
[ROW][C]24[/C][C]-0.043505[/C][C]-0.3342[/C][C]0.369719[/C][/ROW]
[ROW][C]25[/C][C]0.073727[/C][C]0.5663[/C][C]0.286667[/C][/ROW]
[ROW][C]26[/C][C]-0.044282[/C][C]-0.3401[/C][C]0.367481[/C][/ROW]
[ROW][C]27[/C][C]-0.02868[/C][C]-0.2203[/C][C]0.4132[/C][/ROW]
[ROW][C]28[/C][C]-0.209652[/C][C]-1.6104[/C][C]0.056328[/C][/ROW]
[ROW][C]29[/C][C]0.084616[/C][C]0.6499[/C][C]0.259124[/C][/ROW]
[ROW][C]30[/C][C]-0.023253[/C][C]-0.1786[/C][C]0.429427[/C][/ROW]
[ROW][C]31[/C][C]-0.077168[/C][C]-0.5927[/C][C]0.277812[/C][/ROW]
[ROW][C]32[/C][C]0.030586[/C][C]0.2349[/C][C]0.407535[/C][/ROW]
[ROW][C]33[/C][C]0.100684[/C][C]0.7734[/C][C]0.221196[/C][/ROW]
[ROW][C]34[/C][C]0.047499[/C][C]0.3648[/C][C]0.358264[/C][/ROW]
[ROW][C]35[/C][C]0.043213[/C][C]0.3319[/C][C]0.370561[/C][/ROW]
[ROW][C]36[/C][C]-0.238133[/C][C]-1.8291[/C][C]0.036217[/C][/ROW]
[ROW][C]37[/C][C]0.041463[/C][C]0.3185[/C][C]0.375622[/C][/ROW]
[ROW][C]38[/C][C]0.06476[/C][C]0.4974[/C][C]0.310367[/C][/ROW]
[ROW][C]39[/C][C]-0.031259[/C][C]-0.2401[/C][C]0.405541[/C][/ROW]
[ROW][C]40[/C][C]-0.007696[/C][C]-0.0591[/C][C]0.476532[/C][/ROW]
[ROW][C]41[/C][C]0.029042[/C][C]0.2231[/C][C]0.412124[/C][/ROW]
[ROW][C]42[/C][C]-0.050901[/C][C]-0.391[/C][C]0.348611[/C][/ROW]
[ROW][C]43[/C][C]-0.007018[/C][C]-0.0539[/C][C]0.478597[/C][/ROW]
[ROW][C]44[/C][C]0.054175[/C][C]0.4161[/C][C]0.339413[/C][/ROW]
[ROW][C]45[/C][C]-0.024401[/C][C]-0.1874[/C][C]0.425985[/C][/ROW]
[ROW][C]46[/C][C]-0.119446[/C][C]-0.9175[/C][C]0.181313[/C][/ROW]
[ROW][C]47[/C][C]0.027962[/C][C]0.2148[/C][C]0.415339[/C][/ROW]
[ROW][C]48[/C][C]0.010357[/C][C]0.0796[/C][C]0.468431[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143410&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143410&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1976751.51840.067131
20.2883312.21470.015327
3-0.108886-0.83640.20316
40.0413270.31740.376015
50.1881321.44510.076864
60.0499860.3840.351197
70.2131661.63740.053439
8-0.055202-0.4240.336547
90.0090850.06980.472303
100.0934550.71780.237845
11-0.10189-0.78260.218486
120.0692960.53230.298268
13-0.020848-0.16010.436661
14-0.185133-1.4220.080141
15-0.098929-0.75990.225173
160.0458160.35190.363077
170.0518390.39820.345965
18-0.260131-1.99810.025161
19-0.017306-0.13290.44735
200.0768270.59010.278683
21-0.083193-0.6390.262642
22-0.04861-0.37340.355101
230.0214630.16490.43481
24-0.043505-0.33420.369719
250.0737270.56630.286667
26-0.044282-0.34010.367481
27-0.02868-0.22030.4132
28-0.209652-1.61040.056328
290.0846160.64990.259124
30-0.023253-0.17860.429427
31-0.077168-0.59270.277812
320.0305860.23490.407535
330.1006840.77340.221196
340.0474990.36480.358264
350.0432130.33190.370561
36-0.238133-1.82910.036217
370.0414630.31850.375622
380.064760.49740.310367
39-0.031259-0.24010.405541
40-0.007696-0.05910.476532
410.0290420.22310.412124
42-0.050901-0.3910.348611
43-0.007018-0.05390.478597
440.0541750.41610.339413
45-0.024401-0.18740.425985
46-0.119446-0.91750.181313
470.0279620.21480.415339
480.0103570.07960.468431



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')