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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 08 May 2009 05:42:37 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/08/t1241783024ob3jediqjin1a85.htm/, Retrieved Mon, 29 Apr 2024 07:47:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39651, Retrieved Mon, 29 Apr 2024 07:47:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [opgave 6 bis, oef...] [2009-05-08 11:42:37] [564a720da86171cdf215ca3dfe587c26] [Current]
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Dataseries X:
1.54
1.55
1.53
1.55
1.55
1.53
1.54
1.54
1.54
1.53
1.53
1.53
1.54
1.53
1.53
1.54
1.55
1.53
1.53
1.53
1.53
1.52
1.54
1.53
1.52
1.54
1.53
1.54
1.54
1.53
1.54
1.54
1.52
1.52
1.57
1.6
1.59
1.6
1.6
1.62
1.61
1.61
1.62
1.61
1.62
1.61
1.62
1.61
1.61
1.58
1.57
1.57
1.66
1.66
1.67
1.68
1.66
1.66
1.64
1.61
1.58
1.57
1.54
1.61
1.65
1.6
1.57
1.56
1.55
1.54
1.51
1.5
1.5
1.49
1.47
1.47
1.49
1.49
1.49
1.51
1.49
1.48
1.46
1.46
1.45
1.45
1.44
1.47
1.47
1.45
1.43
1.44
1.38
1.4
1.37
1.41




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39651&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39651&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39651&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.03787-0.36910.356433
2-0.029448-0.2870.38736
3-0.099679-0.97160.16687
40.0009650.00940.496259
5-0.104457-1.01810.155602
6-0.03066-0.29880.382858
7-0.126577-1.23370.110175
80.0824690.80380.211757
90.0955830.93160.176944
10-0.012136-0.11830.453044
110.1302771.26980.103632
120.2198442.14280.017344
13-0.085477-0.83310.203432
14-0.146928-1.43210.077701
150.0253550.24710.402672
16-0.004244-0.04140.483547
170.0049040.04780.480989
180.0186470.18170.428084
190.0530690.51730.30309
20-0.032617-0.31790.375625
21-0.016262-0.15850.4372
220.0043740.04260.483041
23-0.020314-0.1980.421734
240.1936421.88740.031081
25-0.047973-0.46760.320578
26-0.081223-0.79170.215264
270.0772740.75320.226604
28-0.110865-1.08060.141311
29-0.043646-0.42540.33575
300.0580380.56570.286472
31-0.128843-1.25580.106133
320.05430.52920.298934
330.047460.46260.322359
34-0.012951-0.12620.449907
35-0.059577-0.58070.281415
360.028950.28220.389214
37-0.094539-0.92150.179574
38-0.027321-0.26630.395297
39-0.005016-0.04890.480556
40-0.169549-1.65260.050861
410.1264951.23290.110324
42-0.005145-0.05010.480056
430.0686520.66910.252514
44-0.026442-0.25770.398588
450.0519510.50640.306892
46-0.106633-1.03930.150646
47-0.059464-0.57960.281783
48-0.006661-0.06490.474187

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.03787 & -0.3691 & 0.356433 \tabularnewline
2 & -0.029448 & -0.287 & 0.38736 \tabularnewline
3 & -0.099679 & -0.9716 & 0.16687 \tabularnewline
4 & 0.000965 & 0.0094 & 0.496259 \tabularnewline
5 & -0.104457 & -1.0181 & 0.155602 \tabularnewline
6 & -0.03066 & -0.2988 & 0.382858 \tabularnewline
7 & -0.126577 & -1.2337 & 0.110175 \tabularnewline
8 & 0.082469 & 0.8038 & 0.211757 \tabularnewline
9 & 0.095583 & 0.9316 & 0.176944 \tabularnewline
10 & -0.012136 & -0.1183 & 0.453044 \tabularnewline
11 & 0.130277 & 1.2698 & 0.103632 \tabularnewline
12 & 0.219844 & 2.1428 & 0.017344 \tabularnewline
13 & -0.085477 & -0.8331 & 0.203432 \tabularnewline
14 & -0.146928 & -1.4321 & 0.077701 \tabularnewline
15 & 0.025355 & 0.2471 & 0.402672 \tabularnewline
16 & -0.004244 & -0.0414 & 0.483547 \tabularnewline
17 & 0.004904 & 0.0478 & 0.480989 \tabularnewline
18 & 0.018647 & 0.1817 & 0.428084 \tabularnewline
19 & 0.053069 & 0.5173 & 0.30309 \tabularnewline
20 & -0.032617 & -0.3179 & 0.375625 \tabularnewline
21 & -0.016262 & -0.1585 & 0.4372 \tabularnewline
22 & 0.004374 & 0.0426 & 0.483041 \tabularnewline
23 & -0.020314 & -0.198 & 0.421734 \tabularnewline
24 & 0.193642 & 1.8874 & 0.031081 \tabularnewline
25 & -0.047973 & -0.4676 & 0.320578 \tabularnewline
26 & -0.081223 & -0.7917 & 0.215264 \tabularnewline
27 & 0.077274 & 0.7532 & 0.226604 \tabularnewline
28 & -0.110865 & -1.0806 & 0.141311 \tabularnewline
29 & -0.043646 & -0.4254 & 0.33575 \tabularnewline
30 & 0.058038 & 0.5657 & 0.286472 \tabularnewline
31 & -0.128843 & -1.2558 & 0.106133 \tabularnewline
32 & 0.0543 & 0.5292 & 0.298934 \tabularnewline
33 & 0.04746 & 0.4626 & 0.322359 \tabularnewline
34 & -0.012951 & -0.1262 & 0.449907 \tabularnewline
35 & -0.059577 & -0.5807 & 0.281415 \tabularnewline
36 & 0.02895 & 0.2822 & 0.389214 \tabularnewline
37 & -0.094539 & -0.9215 & 0.179574 \tabularnewline
38 & -0.027321 & -0.2663 & 0.395297 \tabularnewline
39 & -0.005016 & -0.0489 & 0.480556 \tabularnewline
40 & -0.169549 & -1.6526 & 0.050861 \tabularnewline
41 & 0.126495 & 1.2329 & 0.110324 \tabularnewline
42 & -0.005145 & -0.0501 & 0.480056 \tabularnewline
43 & 0.068652 & 0.6691 & 0.252514 \tabularnewline
44 & -0.026442 & -0.2577 & 0.398588 \tabularnewline
45 & 0.051951 & 0.5064 & 0.306892 \tabularnewline
46 & -0.106633 & -1.0393 & 0.150646 \tabularnewline
47 & -0.059464 & -0.5796 & 0.281783 \tabularnewline
48 & -0.006661 & -0.0649 & 0.474187 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39651&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]-0.03787[/C][C]-0.3691[/C][C]0.356433[/C][/ROW]
[ROW][C]2[/C][C]-0.029448[/C][C]-0.287[/C][C]0.38736[/C][/ROW]
[ROW][C]3[/C][C]-0.099679[/C][C]-0.9716[/C][C]0.16687[/C][/ROW]
[ROW][C]4[/C][C]0.000965[/C][C]0.0094[/C][C]0.496259[/C][/ROW]
[ROW][C]5[/C][C]-0.104457[/C][C]-1.0181[/C][C]0.155602[/C][/ROW]
[ROW][C]6[/C][C]-0.03066[/C][C]-0.2988[/C][C]0.382858[/C][/ROW]
[ROW][C]7[/C][C]-0.126577[/C][C]-1.2337[/C][C]0.110175[/C][/ROW]
[ROW][C]8[/C][C]0.082469[/C][C]0.8038[/C][C]0.211757[/C][/ROW]
[ROW][C]9[/C][C]0.095583[/C][C]0.9316[/C][C]0.176944[/C][/ROW]
[ROW][C]10[/C][C]-0.012136[/C][C]-0.1183[/C][C]0.453044[/C][/ROW]
[ROW][C]11[/C][C]0.130277[/C][C]1.2698[/C][C]0.103632[/C][/ROW]
[ROW][C]12[/C][C]0.219844[/C][C]2.1428[/C][C]0.017344[/C][/ROW]
[ROW][C]13[/C][C]-0.085477[/C][C]-0.8331[/C][C]0.203432[/C][/ROW]
[ROW][C]14[/C][C]-0.146928[/C][C]-1.4321[/C][C]0.077701[/C][/ROW]
[ROW][C]15[/C][C]0.025355[/C][C]0.2471[/C][C]0.402672[/C][/ROW]
[ROW][C]16[/C][C]-0.004244[/C][C]-0.0414[/C][C]0.483547[/C][/ROW]
[ROW][C]17[/C][C]0.004904[/C][C]0.0478[/C][C]0.480989[/C][/ROW]
[ROW][C]18[/C][C]0.018647[/C][C]0.1817[/C][C]0.428084[/C][/ROW]
[ROW][C]19[/C][C]0.053069[/C][C]0.5173[/C][C]0.30309[/C][/ROW]
[ROW][C]20[/C][C]-0.032617[/C][C]-0.3179[/C][C]0.375625[/C][/ROW]
[ROW][C]21[/C][C]-0.016262[/C][C]-0.1585[/C][C]0.4372[/C][/ROW]
[ROW][C]22[/C][C]0.004374[/C][C]0.0426[/C][C]0.483041[/C][/ROW]
[ROW][C]23[/C][C]-0.020314[/C][C]-0.198[/C][C]0.421734[/C][/ROW]
[ROW][C]24[/C][C]0.193642[/C][C]1.8874[/C][C]0.031081[/C][/ROW]
[ROW][C]25[/C][C]-0.047973[/C][C]-0.4676[/C][C]0.320578[/C][/ROW]
[ROW][C]26[/C][C]-0.081223[/C][C]-0.7917[/C][C]0.215264[/C][/ROW]
[ROW][C]27[/C][C]0.077274[/C][C]0.7532[/C][C]0.226604[/C][/ROW]
[ROW][C]28[/C][C]-0.110865[/C][C]-1.0806[/C][C]0.141311[/C][/ROW]
[ROW][C]29[/C][C]-0.043646[/C][C]-0.4254[/C][C]0.33575[/C][/ROW]
[ROW][C]30[/C][C]0.058038[/C][C]0.5657[/C][C]0.286472[/C][/ROW]
[ROW][C]31[/C][C]-0.128843[/C][C]-1.2558[/C][C]0.106133[/C][/ROW]
[ROW][C]32[/C][C]0.0543[/C][C]0.5292[/C][C]0.298934[/C][/ROW]
[ROW][C]33[/C][C]0.04746[/C][C]0.4626[/C][C]0.322359[/C][/ROW]
[ROW][C]34[/C][C]-0.012951[/C][C]-0.1262[/C][C]0.449907[/C][/ROW]
[ROW][C]35[/C][C]-0.059577[/C][C]-0.5807[/C][C]0.281415[/C][/ROW]
[ROW][C]36[/C][C]0.02895[/C][C]0.2822[/C][C]0.389214[/C][/ROW]
[ROW][C]37[/C][C]-0.094539[/C][C]-0.9215[/C][C]0.179574[/C][/ROW]
[ROW][C]38[/C][C]-0.027321[/C][C]-0.2663[/C][C]0.395297[/C][/ROW]
[ROW][C]39[/C][C]-0.005016[/C][C]-0.0489[/C][C]0.480556[/C][/ROW]
[ROW][C]40[/C][C]-0.169549[/C][C]-1.6526[/C][C]0.050861[/C][/ROW]
[ROW][C]41[/C][C]0.126495[/C][C]1.2329[/C][C]0.110324[/C][/ROW]
[ROW][C]42[/C][C]-0.005145[/C][C]-0.0501[/C][C]0.480056[/C][/ROW]
[ROW][C]43[/C][C]0.068652[/C][C]0.6691[/C][C]0.252514[/C][/ROW]
[ROW][C]44[/C][C]-0.026442[/C][C]-0.2577[/C][C]0.398588[/C][/ROW]
[ROW][C]45[/C][C]0.051951[/C][C]0.5064[/C][C]0.306892[/C][/ROW]
[ROW][C]46[/C][C]-0.106633[/C][C]-1.0393[/C][C]0.150646[/C][/ROW]
[ROW][C]47[/C][C]-0.059464[/C][C]-0.5796[/C][C]0.281783[/C][/ROW]
[ROW][C]48[/C][C]-0.006661[/C][C]-0.0649[/C][C]0.474187[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39651&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39651&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
1-0.03787-0.36910.356433
2-0.029448-0.2870.38736
3-0.099679-0.97160.16687
40.0009650.00940.496259
5-0.104457-1.01810.155602
6-0.03066-0.29880.382858
7-0.126577-1.23370.110175
80.0824690.80380.211757
90.0955830.93160.176944
10-0.012136-0.11830.453044
110.1302771.26980.103632
120.2198442.14280.017344
13-0.085477-0.83310.203432
14-0.146928-1.43210.077701
150.0253550.24710.402672
16-0.004244-0.04140.483547
170.0049040.04780.480989
180.0186470.18170.428084
190.0530690.51730.30309
20-0.032617-0.31790.375625
21-0.016262-0.15850.4372
220.0043740.04260.483041
23-0.020314-0.1980.421734
240.1936421.88740.031081
25-0.047973-0.46760.320578
26-0.081223-0.79170.215264
270.0772740.75320.226604
28-0.110865-1.08060.141311
29-0.043646-0.42540.33575
300.0580380.56570.286472
31-0.128843-1.25580.106133
320.05430.52920.298934
330.047460.46260.322359
34-0.012951-0.12620.449907
35-0.059577-0.58070.281415
360.028950.28220.389214
37-0.094539-0.92150.179574
38-0.027321-0.26630.395297
39-0.005016-0.04890.480556
40-0.169549-1.65260.050861
410.1264951.23290.110324
42-0.005145-0.05010.480056
430.0686520.66910.252514
44-0.026442-0.25770.398588
450.0519510.50640.306892
46-0.106633-1.03930.150646
47-0.059464-0.57960.281783
48-0.006661-0.06490.474187







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.03787-0.36910.356433
2-0.030927-0.30140.381871
3-0.102244-0.99660.160756
4-0.008248-0.08040.468047
5-0.112711-1.09860.137366
6-0.051802-0.50490.307399
7-0.143882-1.40240.082029
80.0441460.43030.333982
90.081620.79550.214144
10-0.039876-0.38870.349197
110.1457761.42090.079317
120.2386282.32590.011077
13-0.049071-0.47830.316773
14-0.110251-1.07460.142639
150.0903830.88090.190285
160.0303630.29590.383961
170.0042510.04140.483518
180.0686620.66920.252486
190.0941780.91790.180489
20-0.117143-1.14180.128209
21-0.087309-0.8510.198459
220.0681190.66390.254167
23-0.0891-0.86840.19367
240.1584851.54470.062869
250.068770.67030.252151
26-0.067191-0.65490.25706
270.0320960.31280.377545
28-0.16522-1.61040.055318
29-0.028676-0.27950.390234
300.0441330.43020.33403
31-0.150298-1.46490.073122
320.1226091.1950.117522
330.0049680.04840.480743
34-0.091212-0.8890.188118
35-0.127396-1.24170.108702
36-0.101533-0.98960.162436
37-0.028491-0.27770.390924
38-0.038576-0.3760.35388
390.0256030.24960.401737
40-0.13499-1.31570.095717
410.0531910.51840.302679
42-0.094621-0.92220.179368
430.0588620.57370.283759
44-0.002039-0.01990.492095
450.0400190.39010.348682
46-0.007908-0.07710.469363
47-0.030817-0.30040.382278
480.0331650.32330.373606

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.03787 & -0.3691 & 0.356433 \tabularnewline
2 & -0.030927 & -0.3014 & 0.381871 \tabularnewline
3 & -0.102244 & -0.9966 & 0.160756 \tabularnewline
4 & -0.008248 & -0.0804 & 0.468047 \tabularnewline
5 & -0.112711 & -1.0986 & 0.137366 \tabularnewline
6 & -0.051802 & -0.5049 & 0.307399 \tabularnewline
7 & -0.143882 & -1.4024 & 0.082029 \tabularnewline
8 & 0.044146 & 0.4303 & 0.333982 \tabularnewline
9 & 0.08162 & 0.7955 & 0.214144 \tabularnewline
10 & -0.039876 & -0.3887 & 0.349197 \tabularnewline
11 & 0.145776 & 1.4209 & 0.079317 \tabularnewline
12 & 0.238628 & 2.3259 & 0.011077 \tabularnewline
13 & -0.049071 & -0.4783 & 0.316773 \tabularnewline
14 & -0.110251 & -1.0746 & 0.142639 \tabularnewline
15 & 0.090383 & 0.8809 & 0.190285 \tabularnewline
16 & 0.030363 & 0.2959 & 0.383961 \tabularnewline
17 & 0.004251 & 0.0414 & 0.483518 \tabularnewline
18 & 0.068662 & 0.6692 & 0.252486 \tabularnewline
19 & 0.094178 & 0.9179 & 0.180489 \tabularnewline
20 & -0.117143 & -1.1418 & 0.128209 \tabularnewline
21 & -0.087309 & -0.851 & 0.198459 \tabularnewline
22 & 0.068119 & 0.6639 & 0.254167 \tabularnewline
23 & -0.0891 & -0.8684 & 0.19367 \tabularnewline
24 & 0.158485 & 1.5447 & 0.062869 \tabularnewline
25 & 0.06877 & 0.6703 & 0.252151 \tabularnewline
26 & -0.067191 & -0.6549 & 0.25706 \tabularnewline
27 & 0.032096 & 0.3128 & 0.377545 \tabularnewline
28 & -0.16522 & -1.6104 & 0.055318 \tabularnewline
29 & -0.028676 & -0.2795 & 0.390234 \tabularnewline
30 & 0.044133 & 0.4302 & 0.33403 \tabularnewline
31 & -0.150298 & -1.4649 & 0.073122 \tabularnewline
32 & 0.122609 & 1.195 & 0.117522 \tabularnewline
33 & 0.004968 & 0.0484 & 0.480743 \tabularnewline
34 & -0.091212 & -0.889 & 0.188118 \tabularnewline
35 & -0.127396 & -1.2417 & 0.108702 \tabularnewline
36 & -0.101533 & -0.9896 & 0.162436 \tabularnewline
37 & -0.028491 & -0.2777 & 0.390924 \tabularnewline
38 & -0.038576 & -0.376 & 0.35388 \tabularnewline
39 & 0.025603 & 0.2496 & 0.401737 \tabularnewline
40 & -0.13499 & -1.3157 & 0.095717 \tabularnewline
41 & 0.053191 & 0.5184 & 0.302679 \tabularnewline
42 & -0.094621 & -0.9222 & 0.179368 \tabularnewline
43 & 0.058862 & 0.5737 & 0.283759 \tabularnewline
44 & -0.002039 & -0.0199 & 0.492095 \tabularnewline
45 & 0.040019 & 0.3901 & 0.348682 \tabularnewline
46 & -0.007908 & -0.0771 & 0.469363 \tabularnewline
47 & -0.030817 & -0.3004 & 0.382278 \tabularnewline
48 & 0.033165 & 0.3233 & 0.373606 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39651&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]-0.03787[/C][C]-0.3691[/C][C]0.356433[/C][/ROW]
[ROW][C]2[/C][C]-0.030927[/C][C]-0.3014[/C][C]0.381871[/C][/ROW]
[ROW][C]3[/C][C]-0.102244[/C][C]-0.9966[/C][C]0.160756[/C][/ROW]
[ROW][C]4[/C][C]-0.008248[/C][C]-0.0804[/C][C]0.468047[/C][/ROW]
[ROW][C]5[/C][C]-0.112711[/C][C]-1.0986[/C][C]0.137366[/C][/ROW]
[ROW][C]6[/C][C]-0.051802[/C][C]-0.5049[/C][C]0.307399[/C][/ROW]
[ROW][C]7[/C][C]-0.143882[/C][C]-1.4024[/C][C]0.082029[/C][/ROW]
[ROW][C]8[/C][C]0.044146[/C][C]0.4303[/C][C]0.333982[/C][/ROW]
[ROW][C]9[/C][C]0.08162[/C][C]0.7955[/C][C]0.214144[/C][/ROW]
[ROW][C]10[/C][C]-0.039876[/C][C]-0.3887[/C][C]0.349197[/C][/ROW]
[ROW][C]11[/C][C]0.145776[/C][C]1.4209[/C][C]0.079317[/C][/ROW]
[ROW][C]12[/C][C]0.238628[/C][C]2.3259[/C][C]0.011077[/C][/ROW]
[ROW][C]13[/C][C]-0.049071[/C][C]-0.4783[/C][C]0.316773[/C][/ROW]
[ROW][C]14[/C][C]-0.110251[/C][C]-1.0746[/C][C]0.142639[/C][/ROW]
[ROW][C]15[/C][C]0.090383[/C][C]0.8809[/C][C]0.190285[/C][/ROW]
[ROW][C]16[/C][C]0.030363[/C][C]0.2959[/C][C]0.383961[/C][/ROW]
[ROW][C]17[/C][C]0.004251[/C][C]0.0414[/C][C]0.483518[/C][/ROW]
[ROW][C]18[/C][C]0.068662[/C][C]0.6692[/C][C]0.252486[/C][/ROW]
[ROW][C]19[/C][C]0.094178[/C][C]0.9179[/C][C]0.180489[/C][/ROW]
[ROW][C]20[/C][C]-0.117143[/C][C]-1.1418[/C][C]0.128209[/C][/ROW]
[ROW][C]21[/C][C]-0.087309[/C][C]-0.851[/C][C]0.198459[/C][/ROW]
[ROW][C]22[/C][C]0.068119[/C][C]0.6639[/C][C]0.254167[/C][/ROW]
[ROW][C]23[/C][C]-0.0891[/C][C]-0.8684[/C][C]0.19367[/C][/ROW]
[ROW][C]24[/C][C]0.158485[/C][C]1.5447[/C][C]0.062869[/C][/ROW]
[ROW][C]25[/C][C]0.06877[/C][C]0.6703[/C][C]0.252151[/C][/ROW]
[ROW][C]26[/C][C]-0.067191[/C][C]-0.6549[/C][C]0.25706[/C][/ROW]
[ROW][C]27[/C][C]0.032096[/C][C]0.3128[/C][C]0.377545[/C][/ROW]
[ROW][C]28[/C][C]-0.16522[/C][C]-1.6104[/C][C]0.055318[/C][/ROW]
[ROW][C]29[/C][C]-0.028676[/C][C]-0.2795[/C][C]0.390234[/C][/ROW]
[ROW][C]30[/C][C]0.044133[/C][C]0.4302[/C][C]0.33403[/C][/ROW]
[ROW][C]31[/C][C]-0.150298[/C][C]-1.4649[/C][C]0.073122[/C][/ROW]
[ROW][C]32[/C][C]0.122609[/C][C]1.195[/C][C]0.117522[/C][/ROW]
[ROW][C]33[/C][C]0.004968[/C][C]0.0484[/C][C]0.480743[/C][/ROW]
[ROW][C]34[/C][C]-0.091212[/C][C]-0.889[/C][C]0.188118[/C][/ROW]
[ROW][C]35[/C][C]-0.127396[/C][C]-1.2417[/C][C]0.108702[/C][/ROW]
[ROW][C]36[/C][C]-0.101533[/C][C]-0.9896[/C][C]0.162436[/C][/ROW]
[ROW][C]37[/C][C]-0.028491[/C][C]-0.2777[/C][C]0.390924[/C][/ROW]
[ROW][C]38[/C][C]-0.038576[/C][C]-0.376[/C][C]0.35388[/C][/ROW]
[ROW][C]39[/C][C]0.025603[/C][C]0.2496[/C][C]0.401737[/C][/ROW]
[ROW][C]40[/C][C]-0.13499[/C][C]-1.3157[/C][C]0.095717[/C][/ROW]
[ROW][C]41[/C][C]0.053191[/C][C]0.5184[/C][C]0.302679[/C][/ROW]
[ROW][C]42[/C][C]-0.094621[/C][C]-0.9222[/C][C]0.179368[/C][/ROW]
[ROW][C]43[/C][C]0.058862[/C][C]0.5737[/C][C]0.283759[/C][/ROW]
[ROW][C]44[/C][C]-0.002039[/C][C]-0.0199[/C][C]0.492095[/C][/ROW]
[ROW][C]45[/C][C]0.040019[/C][C]0.3901[/C][C]0.348682[/C][/ROW]
[ROW][C]46[/C][C]-0.007908[/C][C]-0.0771[/C][C]0.469363[/C][/ROW]
[ROW][C]47[/C][C]-0.030817[/C][C]-0.3004[/C][C]0.382278[/C][/ROW]
[ROW][C]48[/C][C]0.033165[/C][C]0.3233[/C][C]0.373606[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39651&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39651&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
1-0.03787-0.36910.356433
2-0.030927-0.30140.381871
3-0.102244-0.99660.160756
4-0.008248-0.08040.468047
5-0.112711-1.09860.137366
6-0.051802-0.50490.307399
7-0.143882-1.40240.082029
80.0441460.43030.333982
90.081620.79550.214144
10-0.039876-0.38870.349197
110.1457761.42090.079317
120.2386282.32590.011077
13-0.049071-0.47830.316773
14-0.110251-1.07460.142639
150.0903830.88090.190285
160.0303630.29590.383961
170.0042510.04140.483518
180.0686620.66920.252486
190.0941780.91790.180489
20-0.117143-1.14180.128209
21-0.087309-0.8510.198459
220.0681190.66390.254167
23-0.0891-0.86840.19367
240.1584851.54470.062869
250.068770.67030.252151
26-0.067191-0.65490.25706
270.0320960.31280.377545
28-0.16522-1.61040.055318
29-0.028676-0.27950.390234
300.0441330.43020.33403
31-0.150298-1.46490.073122
320.1226091.1950.117522
330.0049680.04840.480743
34-0.091212-0.8890.188118
35-0.127396-1.24170.108702
36-0.101533-0.98960.162436
37-0.028491-0.27770.390924
38-0.038576-0.3760.35388
390.0256030.24960.401737
40-0.13499-1.31570.095717
410.0531910.51840.302679
42-0.094621-0.92220.179368
430.0588620.57370.283759
44-0.002039-0.01990.492095
450.0400190.39010.348682
46-0.007908-0.07710.469363
47-0.030817-0.30040.382278
480.0331650.32330.373606



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')