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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 15 Nov 2011 14:48:07 -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/t1321386606is0r30bqsvq2dbq.htm/, Retrieved Thu, 28 Mar 2024 23:39:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143454, Retrieved Thu, 28 Mar 2024 23:39:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact56
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie le...] [2011-11-15 19:48:07] [cbc0158ed4ce90347cf58cee0539a6b2] [Current]
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Dataseries X:
106,09
106,19
106,2
106,22
106,22
106,23
106,23
106,61
106,95
107,2
107,56
107,72
107,74
107,8
107,8
108,1
108,14
108,16
108,16
108,16
108,95
110,49
110,71
110,72
110,75
110,82
110,82
110,84
110,84
110,84
110,86
110,92
111,46
112,46
113,04
113,15
113,15
113,21
113,37
113,47
113,71
113,71
113,71
113,8
115,46
117
117,94
118,08
118,08
118,45
118,47
118,49
118,54
118,55
118,55
118,55
119,04
121,37
121,73
121,83
121,83
121,91
122
122,03
122,14
122,14
122,23
122,49
123,02
125,98
126,13
126,39




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143454&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143454&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143454&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9524298.08160
20.9018277.65230
30.8499767.21230
40.8118696.88890
50.7755686.58090
60.7394536.27450
70.7029065.96440
80.6667115.65720
90.6312725.35650
100.5962055.0592e-06
110.5610774.76095e-06
120.5228674.43671.6e-05
130.4776924.05336.3e-05
140.4288473.63890.000256
150.380243.22640.000944
160.3434392.91420.002374
170.3087262.61960.005364
180.2732962.3190.011619
190.2371862.01260.023949
200.2003581.70010.046715
210.1653231.40280.082486
220.1347681.14350.1283
230.1037670.88050.19076
240.0708210.60090.274884
250.0328120.27840.390743
26-0.008488-0.0720.471392
27-0.046398-0.39370.347483
28-0.077259-0.65560.257098
29-0.10052-0.85290.198261
30-0.124146-1.05340.147838
31-0.148263-1.25810.106218
32-0.172776-1.46610.073494
33-0.19485-1.65340.051306
34-0.213738-1.81360.036951
35-0.230886-1.95910.026985
36-0.249304-2.11540.018928
37-0.271181-2.3010.012144
38-0.29463-2.50.007349
39-0.315546-2.67750.004591
40-0.331651-2.81420.003151
41-0.34455-2.92360.002311
42-0.35742-3.03280.001684
43-0.37065-3.14510.001207
44-0.383841-3.2570.000859
45-0.392169-3.32770.000691
46-0.395851-3.35890.000627
47-0.397112-3.36960.000606
48-0.398672-3.38280.000582

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.952429 & 8.0816 & 0 \tabularnewline
2 & 0.901827 & 7.6523 & 0 \tabularnewline
3 & 0.849976 & 7.2123 & 0 \tabularnewline
4 & 0.811869 & 6.8889 & 0 \tabularnewline
5 & 0.775568 & 6.5809 & 0 \tabularnewline
6 & 0.739453 & 6.2745 & 0 \tabularnewline
7 & 0.702906 & 5.9644 & 0 \tabularnewline
8 & 0.666711 & 5.6572 & 0 \tabularnewline
9 & 0.631272 & 5.3565 & 0 \tabularnewline
10 & 0.596205 & 5.059 & 2e-06 \tabularnewline
11 & 0.561077 & 4.7609 & 5e-06 \tabularnewline
12 & 0.522867 & 4.4367 & 1.6e-05 \tabularnewline
13 & 0.477692 & 4.0533 & 6.3e-05 \tabularnewline
14 & 0.428847 & 3.6389 & 0.000256 \tabularnewline
15 & 0.38024 & 3.2264 & 0.000944 \tabularnewline
16 & 0.343439 & 2.9142 & 0.002374 \tabularnewline
17 & 0.308726 & 2.6196 & 0.005364 \tabularnewline
18 & 0.273296 & 2.319 & 0.011619 \tabularnewline
19 & 0.237186 & 2.0126 & 0.023949 \tabularnewline
20 & 0.200358 & 1.7001 & 0.046715 \tabularnewline
21 & 0.165323 & 1.4028 & 0.082486 \tabularnewline
22 & 0.134768 & 1.1435 & 0.1283 \tabularnewline
23 & 0.103767 & 0.8805 & 0.19076 \tabularnewline
24 & 0.070821 & 0.6009 & 0.274884 \tabularnewline
25 & 0.032812 & 0.2784 & 0.390743 \tabularnewline
26 & -0.008488 & -0.072 & 0.471392 \tabularnewline
27 & -0.046398 & -0.3937 & 0.347483 \tabularnewline
28 & -0.077259 & -0.6556 & 0.257098 \tabularnewline
29 & -0.10052 & -0.8529 & 0.198261 \tabularnewline
30 & -0.124146 & -1.0534 & 0.147838 \tabularnewline
31 & -0.148263 & -1.2581 & 0.106218 \tabularnewline
32 & -0.172776 & -1.4661 & 0.073494 \tabularnewline
33 & -0.19485 & -1.6534 & 0.051306 \tabularnewline
34 & -0.213738 & -1.8136 & 0.036951 \tabularnewline
35 & -0.230886 & -1.9591 & 0.026985 \tabularnewline
36 & -0.249304 & -2.1154 & 0.018928 \tabularnewline
37 & -0.271181 & -2.301 & 0.012144 \tabularnewline
38 & -0.29463 & -2.5 & 0.007349 \tabularnewline
39 & -0.315546 & -2.6775 & 0.004591 \tabularnewline
40 & -0.331651 & -2.8142 & 0.003151 \tabularnewline
41 & -0.34455 & -2.9236 & 0.002311 \tabularnewline
42 & -0.35742 & -3.0328 & 0.001684 \tabularnewline
43 & -0.37065 & -3.1451 & 0.001207 \tabularnewline
44 & -0.383841 & -3.257 & 0.000859 \tabularnewline
45 & -0.392169 & -3.3277 & 0.000691 \tabularnewline
46 & -0.395851 & -3.3589 & 0.000627 \tabularnewline
47 & -0.397112 & -3.3696 & 0.000606 \tabularnewline
48 & -0.398672 & -3.3828 & 0.000582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143454&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]0.952429[/C][C]8.0816[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.901827[/C][C]7.6523[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.849976[/C][C]7.2123[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.811869[/C][C]6.8889[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.775568[/C][C]6.5809[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.739453[/C][C]6.2745[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.702906[/C][C]5.9644[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.666711[/C][C]5.6572[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.631272[/C][C]5.3565[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.596205[/C][C]5.059[/C][C]2e-06[/C][/ROW]
[ROW][C]11[/C][C]0.561077[/C][C]4.7609[/C][C]5e-06[/C][/ROW]
[ROW][C]12[/C][C]0.522867[/C][C]4.4367[/C][C]1.6e-05[/C][/ROW]
[ROW][C]13[/C][C]0.477692[/C][C]4.0533[/C][C]6.3e-05[/C][/ROW]
[ROW][C]14[/C][C]0.428847[/C][C]3.6389[/C][C]0.000256[/C][/ROW]
[ROW][C]15[/C][C]0.38024[/C][C]3.2264[/C][C]0.000944[/C][/ROW]
[ROW][C]16[/C][C]0.343439[/C][C]2.9142[/C][C]0.002374[/C][/ROW]
[ROW][C]17[/C][C]0.308726[/C][C]2.6196[/C][C]0.005364[/C][/ROW]
[ROW][C]18[/C][C]0.273296[/C][C]2.319[/C][C]0.011619[/C][/ROW]
[ROW][C]19[/C][C]0.237186[/C][C]2.0126[/C][C]0.023949[/C][/ROW]
[ROW][C]20[/C][C]0.200358[/C][C]1.7001[/C][C]0.046715[/C][/ROW]
[ROW][C]21[/C][C]0.165323[/C][C]1.4028[/C][C]0.082486[/C][/ROW]
[ROW][C]22[/C][C]0.134768[/C][C]1.1435[/C][C]0.1283[/C][/ROW]
[ROW][C]23[/C][C]0.103767[/C][C]0.8805[/C][C]0.19076[/C][/ROW]
[ROW][C]24[/C][C]0.070821[/C][C]0.6009[/C][C]0.274884[/C][/ROW]
[ROW][C]25[/C][C]0.032812[/C][C]0.2784[/C][C]0.390743[/C][/ROW]
[ROW][C]26[/C][C]-0.008488[/C][C]-0.072[/C][C]0.471392[/C][/ROW]
[ROW][C]27[/C][C]-0.046398[/C][C]-0.3937[/C][C]0.347483[/C][/ROW]
[ROW][C]28[/C][C]-0.077259[/C][C]-0.6556[/C][C]0.257098[/C][/ROW]
[ROW][C]29[/C][C]-0.10052[/C][C]-0.8529[/C][C]0.198261[/C][/ROW]
[ROW][C]30[/C][C]-0.124146[/C][C]-1.0534[/C][C]0.147838[/C][/ROW]
[ROW][C]31[/C][C]-0.148263[/C][C]-1.2581[/C][C]0.106218[/C][/ROW]
[ROW][C]32[/C][C]-0.172776[/C][C]-1.4661[/C][C]0.073494[/C][/ROW]
[ROW][C]33[/C][C]-0.19485[/C][C]-1.6534[/C][C]0.051306[/C][/ROW]
[ROW][C]34[/C][C]-0.213738[/C][C]-1.8136[/C][C]0.036951[/C][/ROW]
[ROW][C]35[/C][C]-0.230886[/C][C]-1.9591[/C][C]0.026985[/C][/ROW]
[ROW][C]36[/C][C]-0.249304[/C][C]-2.1154[/C][C]0.018928[/C][/ROW]
[ROW][C]37[/C][C]-0.271181[/C][C]-2.301[/C][C]0.012144[/C][/ROW]
[ROW][C]38[/C][C]-0.29463[/C][C]-2.5[/C][C]0.007349[/C][/ROW]
[ROW][C]39[/C][C]-0.315546[/C][C]-2.6775[/C][C]0.004591[/C][/ROW]
[ROW][C]40[/C][C]-0.331651[/C][C]-2.8142[/C][C]0.003151[/C][/ROW]
[ROW][C]41[/C][C]-0.34455[/C][C]-2.9236[/C][C]0.002311[/C][/ROW]
[ROW][C]42[/C][C]-0.35742[/C][C]-3.0328[/C][C]0.001684[/C][/ROW]
[ROW][C]43[/C][C]-0.37065[/C][C]-3.1451[/C][C]0.001207[/C][/ROW]
[ROW][C]44[/C][C]-0.383841[/C][C]-3.257[/C][C]0.000859[/C][/ROW]
[ROW][C]45[/C][C]-0.392169[/C][C]-3.3277[/C][C]0.000691[/C][/ROW]
[ROW][C]46[/C][C]-0.395851[/C][C]-3.3589[/C][C]0.000627[/C][/ROW]
[ROW][C]47[/C][C]-0.397112[/C][C]-3.3696[/C][C]0.000606[/C][/ROW]
[ROW][C]48[/C][C]-0.398672[/C][C]-3.3828[/C][C]0.000582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143454&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143454&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
10.9524298.08160
20.9018277.65230
30.8499767.21230
40.8118696.88890
50.7755686.58090
60.7394536.27450
70.7029065.96440
80.6667115.65720
90.6312725.35650
100.5962055.0592e-06
110.5610774.76095e-06
120.5228674.43671.6e-05
130.4776924.05336.3e-05
140.4288473.63890.000256
150.380243.22640.000944
160.3434392.91420.002374
170.3087262.61960.005364
180.2732962.3190.011619
190.2371862.01260.023949
200.2003581.70010.046715
210.1653231.40280.082486
220.1347681.14350.1283
230.1037670.88050.19076
240.0708210.60090.274884
250.0328120.27840.390743
26-0.008488-0.0720.471392
27-0.046398-0.39370.347483
28-0.077259-0.65560.257098
29-0.10052-0.85290.198261
30-0.124146-1.05340.147838
31-0.148263-1.25810.106218
32-0.172776-1.46610.073494
33-0.19485-1.65340.051306
34-0.213738-1.81360.036951
35-0.230886-1.95910.026985
36-0.249304-2.11540.018928
37-0.271181-2.3010.012144
38-0.29463-2.50.007349
39-0.315546-2.67750.004591
40-0.331651-2.81420.003151
41-0.34455-2.92360.002311
42-0.35742-3.03280.001684
43-0.37065-3.14510.001207
44-0.383841-3.2570.000859
45-0.392169-3.32770.000691
46-0.395851-3.35890.000627
47-0.397112-3.36960.000606
48-0.398672-3.38280.000582







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9524298.08160
2-0.056994-0.48360.315066
3-0.039125-0.3320.370433
40.1214391.03040.153125
5-0.011192-0.0950.462301
6-0.02489-0.21120.416663
7-0.005308-0.0450.4821
8-0.013899-0.11790.453222
9-0.014232-0.12080.452109
10-0.017015-0.14440.442803
11-0.021589-0.18320.427583
12-0.0543-0.46080.323182
13-0.098156-0.83290.203833
14-0.064465-0.5470.293034
15-0.034782-0.29510.384369
160.0763530.64790.259564
17-0.024744-0.210.417146
18-0.043376-0.36810.356955
19-0.004221-0.03580.485763
20-0.032584-0.27650.391484
21-0.015153-0.12860.449026
220.0224480.19050.424737
23-0.035642-0.30240.381597
24-0.043218-0.36670.357454
25-0.06636-0.56310.287565
26-0.065424-0.55510.29026
27-0.006622-0.05620.477673
280.0133860.11360.454943
290.0264920.22480.411388
30-0.034813-0.29540.384269
31-0.011015-0.09350.462896
32-0.015714-0.13330.44715
33-0.01224-0.10390.458784
340.0028650.02430.490335
35-0.011884-0.10080.459978
36-0.032445-0.27530.391936
37-0.043033-0.36510.358037
38-0.042514-0.36070.359674
39-0.015924-0.13510.446447
40-0.009367-0.07950.468435
41-0.025445-0.21590.414835
42-0.02832-0.24030.405388
43-0.01656-0.14050.444322
44-0.017082-0.14490.442579
450.0144990.1230.451213
460.013470.11430.454662
47-0.004359-0.0370.485298
48-0.010581-0.08980.464356

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.952429 & 8.0816 & 0 \tabularnewline
2 & -0.056994 & -0.4836 & 0.315066 \tabularnewline
3 & -0.039125 & -0.332 & 0.370433 \tabularnewline
4 & 0.121439 & 1.0304 & 0.153125 \tabularnewline
5 & -0.011192 & -0.095 & 0.462301 \tabularnewline
6 & -0.02489 & -0.2112 & 0.416663 \tabularnewline
7 & -0.005308 & -0.045 & 0.4821 \tabularnewline
8 & -0.013899 & -0.1179 & 0.453222 \tabularnewline
9 & -0.014232 & -0.1208 & 0.452109 \tabularnewline
10 & -0.017015 & -0.1444 & 0.442803 \tabularnewline
11 & -0.021589 & -0.1832 & 0.427583 \tabularnewline
12 & -0.0543 & -0.4608 & 0.323182 \tabularnewline
13 & -0.098156 & -0.8329 & 0.203833 \tabularnewline
14 & -0.064465 & -0.547 & 0.293034 \tabularnewline
15 & -0.034782 & -0.2951 & 0.384369 \tabularnewline
16 & 0.076353 & 0.6479 & 0.259564 \tabularnewline
17 & -0.024744 & -0.21 & 0.417146 \tabularnewline
18 & -0.043376 & -0.3681 & 0.356955 \tabularnewline
19 & -0.004221 & -0.0358 & 0.485763 \tabularnewline
20 & -0.032584 & -0.2765 & 0.391484 \tabularnewline
21 & -0.015153 & -0.1286 & 0.449026 \tabularnewline
22 & 0.022448 & 0.1905 & 0.424737 \tabularnewline
23 & -0.035642 & -0.3024 & 0.381597 \tabularnewline
24 & -0.043218 & -0.3667 & 0.357454 \tabularnewline
25 & -0.06636 & -0.5631 & 0.287565 \tabularnewline
26 & -0.065424 & -0.5551 & 0.29026 \tabularnewline
27 & -0.006622 & -0.0562 & 0.477673 \tabularnewline
28 & 0.013386 & 0.1136 & 0.454943 \tabularnewline
29 & 0.026492 & 0.2248 & 0.411388 \tabularnewline
30 & -0.034813 & -0.2954 & 0.384269 \tabularnewline
31 & -0.011015 & -0.0935 & 0.462896 \tabularnewline
32 & -0.015714 & -0.1333 & 0.44715 \tabularnewline
33 & -0.01224 & -0.1039 & 0.458784 \tabularnewline
34 & 0.002865 & 0.0243 & 0.490335 \tabularnewline
35 & -0.011884 & -0.1008 & 0.459978 \tabularnewline
36 & -0.032445 & -0.2753 & 0.391936 \tabularnewline
37 & -0.043033 & -0.3651 & 0.358037 \tabularnewline
38 & -0.042514 & -0.3607 & 0.359674 \tabularnewline
39 & -0.015924 & -0.1351 & 0.446447 \tabularnewline
40 & -0.009367 & -0.0795 & 0.468435 \tabularnewline
41 & -0.025445 & -0.2159 & 0.414835 \tabularnewline
42 & -0.02832 & -0.2403 & 0.405388 \tabularnewline
43 & -0.01656 & -0.1405 & 0.444322 \tabularnewline
44 & -0.017082 & -0.1449 & 0.442579 \tabularnewline
45 & 0.014499 & 0.123 & 0.451213 \tabularnewline
46 & 0.01347 & 0.1143 & 0.454662 \tabularnewline
47 & -0.004359 & -0.037 & 0.485298 \tabularnewline
48 & -0.010581 & -0.0898 & 0.464356 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143454&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]0.952429[/C][C]8.0816[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.056994[/C][C]-0.4836[/C][C]0.315066[/C][/ROW]
[ROW][C]3[/C][C]-0.039125[/C][C]-0.332[/C][C]0.370433[/C][/ROW]
[ROW][C]4[/C][C]0.121439[/C][C]1.0304[/C][C]0.153125[/C][/ROW]
[ROW][C]5[/C][C]-0.011192[/C][C]-0.095[/C][C]0.462301[/C][/ROW]
[ROW][C]6[/C][C]-0.02489[/C][C]-0.2112[/C][C]0.416663[/C][/ROW]
[ROW][C]7[/C][C]-0.005308[/C][C]-0.045[/C][C]0.4821[/C][/ROW]
[ROW][C]8[/C][C]-0.013899[/C][C]-0.1179[/C][C]0.453222[/C][/ROW]
[ROW][C]9[/C][C]-0.014232[/C][C]-0.1208[/C][C]0.452109[/C][/ROW]
[ROW][C]10[/C][C]-0.017015[/C][C]-0.1444[/C][C]0.442803[/C][/ROW]
[ROW][C]11[/C][C]-0.021589[/C][C]-0.1832[/C][C]0.427583[/C][/ROW]
[ROW][C]12[/C][C]-0.0543[/C][C]-0.4608[/C][C]0.323182[/C][/ROW]
[ROW][C]13[/C][C]-0.098156[/C][C]-0.8329[/C][C]0.203833[/C][/ROW]
[ROW][C]14[/C][C]-0.064465[/C][C]-0.547[/C][C]0.293034[/C][/ROW]
[ROW][C]15[/C][C]-0.034782[/C][C]-0.2951[/C][C]0.384369[/C][/ROW]
[ROW][C]16[/C][C]0.076353[/C][C]0.6479[/C][C]0.259564[/C][/ROW]
[ROW][C]17[/C][C]-0.024744[/C][C]-0.21[/C][C]0.417146[/C][/ROW]
[ROW][C]18[/C][C]-0.043376[/C][C]-0.3681[/C][C]0.356955[/C][/ROW]
[ROW][C]19[/C][C]-0.004221[/C][C]-0.0358[/C][C]0.485763[/C][/ROW]
[ROW][C]20[/C][C]-0.032584[/C][C]-0.2765[/C][C]0.391484[/C][/ROW]
[ROW][C]21[/C][C]-0.015153[/C][C]-0.1286[/C][C]0.449026[/C][/ROW]
[ROW][C]22[/C][C]0.022448[/C][C]0.1905[/C][C]0.424737[/C][/ROW]
[ROW][C]23[/C][C]-0.035642[/C][C]-0.3024[/C][C]0.381597[/C][/ROW]
[ROW][C]24[/C][C]-0.043218[/C][C]-0.3667[/C][C]0.357454[/C][/ROW]
[ROW][C]25[/C][C]-0.06636[/C][C]-0.5631[/C][C]0.287565[/C][/ROW]
[ROW][C]26[/C][C]-0.065424[/C][C]-0.5551[/C][C]0.29026[/C][/ROW]
[ROW][C]27[/C][C]-0.006622[/C][C]-0.0562[/C][C]0.477673[/C][/ROW]
[ROW][C]28[/C][C]0.013386[/C][C]0.1136[/C][C]0.454943[/C][/ROW]
[ROW][C]29[/C][C]0.026492[/C][C]0.2248[/C][C]0.411388[/C][/ROW]
[ROW][C]30[/C][C]-0.034813[/C][C]-0.2954[/C][C]0.384269[/C][/ROW]
[ROW][C]31[/C][C]-0.011015[/C][C]-0.0935[/C][C]0.462896[/C][/ROW]
[ROW][C]32[/C][C]-0.015714[/C][C]-0.1333[/C][C]0.44715[/C][/ROW]
[ROW][C]33[/C][C]-0.01224[/C][C]-0.1039[/C][C]0.458784[/C][/ROW]
[ROW][C]34[/C][C]0.002865[/C][C]0.0243[/C][C]0.490335[/C][/ROW]
[ROW][C]35[/C][C]-0.011884[/C][C]-0.1008[/C][C]0.459978[/C][/ROW]
[ROW][C]36[/C][C]-0.032445[/C][C]-0.2753[/C][C]0.391936[/C][/ROW]
[ROW][C]37[/C][C]-0.043033[/C][C]-0.3651[/C][C]0.358037[/C][/ROW]
[ROW][C]38[/C][C]-0.042514[/C][C]-0.3607[/C][C]0.359674[/C][/ROW]
[ROW][C]39[/C][C]-0.015924[/C][C]-0.1351[/C][C]0.446447[/C][/ROW]
[ROW][C]40[/C][C]-0.009367[/C][C]-0.0795[/C][C]0.468435[/C][/ROW]
[ROW][C]41[/C][C]-0.025445[/C][C]-0.2159[/C][C]0.414835[/C][/ROW]
[ROW][C]42[/C][C]-0.02832[/C][C]-0.2403[/C][C]0.405388[/C][/ROW]
[ROW][C]43[/C][C]-0.01656[/C][C]-0.1405[/C][C]0.444322[/C][/ROW]
[ROW][C]44[/C][C]-0.017082[/C][C]-0.1449[/C][C]0.442579[/C][/ROW]
[ROW][C]45[/C][C]0.014499[/C][C]0.123[/C][C]0.451213[/C][/ROW]
[ROW][C]46[/C][C]0.01347[/C][C]0.1143[/C][C]0.454662[/C][/ROW]
[ROW][C]47[/C][C]-0.004359[/C][C]-0.037[/C][C]0.485298[/C][/ROW]
[ROW][C]48[/C][C]-0.010581[/C][C]-0.0898[/C][C]0.464356[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143454&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143454&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
10.9524298.08160
2-0.056994-0.48360.315066
3-0.039125-0.3320.370433
40.1214391.03040.153125
5-0.011192-0.0950.462301
6-0.02489-0.21120.416663
7-0.005308-0.0450.4821
8-0.013899-0.11790.453222
9-0.014232-0.12080.452109
10-0.017015-0.14440.442803
11-0.021589-0.18320.427583
12-0.0543-0.46080.323182
13-0.098156-0.83290.203833
14-0.064465-0.5470.293034
15-0.034782-0.29510.384369
160.0763530.64790.259564
17-0.024744-0.210.417146
18-0.043376-0.36810.356955
19-0.004221-0.03580.485763
20-0.032584-0.27650.391484
21-0.015153-0.12860.449026
220.0224480.19050.424737
23-0.035642-0.30240.381597
24-0.043218-0.36670.357454
25-0.06636-0.56310.287565
26-0.065424-0.55510.29026
27-0.006622-0.05620.477673
280.0133860.11360.454943
290.0264920.22480.411388
30-0.034813-0.29540.384269
31-0.011015-0.09350.462896
32-0.015714-0.13330.44715
33-0.01224-0.10390.458784
340.0028650.02430.490335
35-0.011884-0.10080.459978
36-0.032445-0.27530.391936
37-0.043033-0.36510.358037
38-0.042514-0.36070.359674
39-0.015924-0.13510.446447
40-0.009367-0.07950.468435
41-0.025445-0.21590.414835
42-0.02832-0.24030.405388
43-0.01656-0.14050.444322
44-0.017082-0.14490.442579
450.0144990.1230.451213
460.013470.11430.454662
47-0.004359-0.0370.485298
48-0.010581-0.08980.464356



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')