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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, 06 Dec 2007 06:12:11 -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/Dec/06/t11969461795ftgf2bz8zx86x2.htm/, Retrieved Fri, 03 May 2024 04:12:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2590, Retrieved Fri, 03 May 2024 04:12:51 +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] [Workshop 5 Q1 wis...] [2007-12-06 13:12:11] [44cf2be50bc8700e14714598feda9df9] [Current]
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Dataseries X:
0.0003
0.0203
0.0169
0.0439
0.0151
0.0034
0.0041
0.0734
0.0081
-0.0291
-0.0233
0.0083
0.047
0.001
0.0584
0.0327
0.0033
-0.0384
-0.0277
0.0022
0.0131
0.0128
-0.009
0.0042
0.0272
0.0501
0.0417
-0.0289
-0.0105
0.0187
-0.0263
-0.0244
-0.0529
-0.0128
0.0255
-0.0036
-0.0241
-0.0229
0.007
0.0247
-0.0165
0.0082
0.0251
0.0499
-0.012
0.0034
0.0127
-0.0084
-0.0116
0.027
0.0332
-0.0214
0.0075
0.0168
0.0274
-0.0005
-0.0092
0.0297
-0.0094
0.0274




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2590&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]2 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=2590&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2590&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
1-0.237156-1.82160.963209
2-0.288173-2.21350.984629
3-0.143389-1.10140.8624
40.220731.69550.04763
50.1530591.17570.122226
6-0.319923-2.45740.991523
70.0724160.55620.290076
80.0042140.03240.487144
90.0787970.60520.273667
10-0.043073-0.33080.629034
110.0301810.23180.408738
12-0.047242-0.36290.641001
13-0.022284-0.17120.567659
140.176481.35560.090202
15-0.078553-0.60340.725716
16-0.141668-1.08820.859528
170.006090.04680.481425
180.0851730.65420.257753
190.079240.60870.272545
20-0.091911-0.7060.758511
21-0.01867-0.14340.556771
220.0356370.27370.392624
230.0478480.36750.35727
240.0329530.25310.400529
25-0.139733-1.07330.856249
26-0.02352-0.18070.571375
270.0909760.69880.243712
280.0683090.52470.300883
29-0.064358-0.49430.688551
30-0.123989-0.95240.827604
310.1993521.53130.065526
32-0.043961-0.33770.631596
33-0.146981-1.1290.868262
340.0305010.23430.407788
350.0665730.51140.305504
360.0835210.64150.26183
37-0.194783-1.49620.930029
380.1409331.08250.141711
39-0.003716-0.02850.511339
40-0.005829-0.04480.517779
41-0.083206-0.63910.737391
420.0951280.73070.233929
430.0740480.56880.285834
44-0.214464-1.64730.947597
450.0818130.62840.266078
460.0011740.0090.496418
470.0747440.57410.284035

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & -0.237156 & -1.8216 & 0.963209 \tabularnewline
2 & -0.288173 & -2.2135 & 0.984629 \tabularnewline
3 & -0.143389 & -1.1014 & 0.8624 \tabularnewline
4 & 0.22073 & 1.6955 & 0.04763 \tabularnewline
5 & 0.153059 & 1.1757 & 0.122226 \tabularnewline
6 & -0.319923 & -2.4574 & 0.991523 \tabularnewline
7 & 0.072416 & 0.5562 & 0.290076 \tabularnewline
8 & 0.004214 & 0.0324 & 0.487144 \tabularnewline
9 & 0.078797 & 0.6052 & 0.273667 \tabularnewline
10 & -0.043073 & -0.3308 & 0.629034 \tabularnewline
11 & 0.030181 & 0.2318 & 0.408738 \tabularnewline
12 & -0.047242 & -0.3629 & 0.641001 \tabularnewline
13 & -0.022284 & -0.1712 & 0.567659 \tabularnewline
14 & 0.17648 & 1.3556 & 0.090202 \tabularnewline
15 & -0.078553 & -0.6034 & 0.725716 \tabularnewline
16 & -0.141668 & -1.0882 & 0.859528 \tabularnewline
17 & 0.00609 & 0.0468 & 0.481425 \tabularnewline
18 & 0.085173 & 0.6542 & 0.257753 \tabularnewline
19 & 0.07924 & 0.6087 & 0.272545 \tabularnewline
20 & -0.091911 & -0.706 & 0.758511 \tabularnewline
21 & -0.01867 & -0.1434 & 0.556771 \tabularnewline
22 & 0.035637 & 0.2737 & 0.392624 \tabularnewline
23 & 0.047848 & 0.3675 & 0.35727 \tabularnewline
24 & 0.032953 & 0.2531 & 0.400529 \tabularnewline
25 & -0.139733 & -1.0733 & 0.856249 \tabularnewline
26 & -0.02352 & -0.1807 & 0.571375 \tabularnewline
27 & 0.090976 & 0.6988 & 0.243712 \tabularnewline
28 & 0.068309 & 0.5247 & 0.300883 \tabularnewline
29 & -0.064358 & -0.4943 & 0.688551 \tabularnewline
30 & -0.123989 & -0.9524 & 0.827604 \tabularnewline
31 & 0.199352 & 1.5313 & 0.065526 \tabularnewline
32 & -0.043961 & -0.3377 & 0.631596 \tabularnewline
33 & -0.146981 & -1.129 & 0.868262 \tabularnewline
34 & 0.030501 & 0.2343 & 0.407788 \tabularnewline
35 & 0.066573 & 0.5114 & 0.305504 \tabularnewline
36 & 0.083521 & 0.6415 & 0.26183 \tabularnewline
37 & -0.194783 & -1.4962 & 0.930029 \tabularnewline
38 & 0.140933 & 1.0825 & 0.141711 \tabularnewline
39 & -0.003716 & -0.0285 & 0.511339 \tabularnewline
40 & -0.005829 & -0.0448 & 0.517779 \tabularnewline
41 & -0.083206 & -0.6391 & 0.737391 \tabularnewline
42 & 0.095128 & 0.7307 & 0.233929 \tabularnewline
43 & 0.074048 & 0.5688 & 0.285834 \tabularnewline
44 & -0.214464 & -1.6473 & 0.947597 \tabularnewline
45 & 0.081813 & 0.6284 & 0.266078 \tabularnewline
46 & 0.001174 & 0.009 & 0.496418 \tabularnewline
47 & 0.074744 & 0.5741 & 0.284035 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2590&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.237156[/C][C]-1.8216[/C][C]0.963209[/C][/ROW]
[ROW][C]2[/C][C]-0.288173[/C][C]-2.2135[/C][C]0.984629[/C][/ROW]
[ROW][C]3[/C][C]-0.143389[/C][C]-1.1014[/C][C]0.8624[/C][/ROW]
[ROW][C]4[/C][C]0.22073[/C][C]1.6955[/C][C]0.04763[/C][/ROW]
[ROW][C]5[/C][C]0.153059[/C][C]1.1757[/C][C]0.122226[/C][/ROW]
[ROW][C]6[/C][C]-0.319923[/C][C]-2.4574[/C][C]0.991523[/C][/ROW]
[ROW][C]7[/C][C]0.072416[/C][C]0.5562[/C][C]0.290076[/C][/ROW]
[ROW][C]8[/C][C]0.004214[/C][C]0.0324[/C][C]0.487144[/C][/ROW]
[ROW][C]9[/C][C]0.078797[/C][C]0.6052[/C][C]0.273667[/C][/ROW]
[ROW][C]10[/C][C]-0.043073[/C][C]-0.3308[/C][C]0.629034[/C][/ROW]
[ROW][C]11[/C][C]0.030181[/C][C]0.2318[/C][C]0.408738[/C][/ROW]
[ROW][C]12[/C][C]-0.047242[/C][C]-0.3629[/C][C]0.641001[/C][/ROW]
[ROW][C]13[/C][C]-0.022284[/C][C]-0.1712[/C][C]0.567659[/C][/ROW]
[ROW][C]14[/C][C]0.17648[/C][C]1.3556[/C][C]0.090202[/C][/ROW]
[ROW][C]15[/C][C]-0.078553[/C][C]-0.6034[/C][C]0.725716[/C][/ROW]
[ROW][C]16[/C][C]-0.141668[/C][C]-1.0882[/C][C]0.859528[/C][/ROW]
[ROW][C]17[/C][C]0.00609[/C][C]0.0468[/C][C]0.481425[/C][/ROW]
[ROW][C]18[/C][C]0.085173[/C][C]0.6542[/C][C]0.257753[/C][/ROW]
[ROW][C]19[/C][C]0.07924[/C][C]0.6087[/C][C]0.272545[/C][/ROW]
[ROW][C]20[/C][C]-0.091911[/C][C]-0.706[/C][C]0.758511[/C][/ROW]
[ROW][C]21[/C][C]-0.01867[/C][C]-0.1434[/C][C]0.556771[/C][/ROW]
[ROW][C]22[/C][C]0.035637[/C][C]0.2737[/C][C]0.392624[/C][/ROW]
[ROW][C]23[/C][C]0.047848[/C][C]0.3675[/C][C]0.35727[/C][/ROW]
[ROW][C]24[/C][C]0.032953[/C][C]0.2531[/C][C]0.400529[/C][/ROW]
[ROW][C]25[/C][C]-0.139733[/C][C]-1.0733[/C][C]0.856249[/C][/ROW]
[ROW][C]26[/C][C]-0.02352[/C][C]-0.1807[/C][C]0.571375[/C][/ROW]
[ROW][C]27[/C][C]0.090976[/C][C]0.6988[/C][C]0.243712[/C][/ROW]
[ROW][C]28[/C][C]0.068309[/C][C]0.5247[/C][C]0.300883[/C][/ROW]
[ROW][C]29[/C][C]-0.064358[/C][C]-0.4943[/C][C]0.688551[/C][/ROW]
[ROW][C]30[/C][C]-0.123989[/C][C]-0.9524[/C][C]0.827604[/C][/ROW]
[ROW][C]31[/C][C]0.199352[/C][C]1.5313[/C][C]0.065526[/C][/ROW]
[ROW][C]32[/C][C]-0.043961[/C][C]-0.3377[/C][C]0.631596[/C][/ROW]
[ROW][C]33[/C][C]-0.146981[/C][C]-1.129[/C][C]0.868262[/C][/ROW]
[ROW][C]34[/C][C]0.030501[/C][C]0.2343[/C][C]0.407788[/C][/ROW]
[ROW][C]35[/C][C]0.066573[/C][C]0.5114[/C][C]0.305504[/C][/ROW]
[ROW][C]36[/C][C]0.083521[/C][C]0.6415[/C][C]0.26183[/C][/ROW]
[ROW][C]37[/C][C]-0.194783[/C][C]-1.4962[/C][C]0.930029[/C][/ROW]
[ROW][C]38[/C][C]0.140933[/C][C]1.0825[/C][C]0.141711[/C][/ROW]
[ROW][C]39[/C][C]-0.003716[/C][C]-0.0285[/C][C]0.511339[/C][/ROW]
[ROW][C]40[/C][C]-0.005829[/C][C]-0.0448[/C][C]0.517779[/C][/ROW]
[ROW][C]41[/C][C]-0.083206[/C][C]-0.6391[/C][C]0.737391[/C][/ROW]
[ROW][C]42[/C][C]0.095128[/C][C]0.7307[/C][C]0.233929[/C][/ROW]
[ROW][C]43[/C][C]0.074048[/C][C]0.5688[/C][C]0.285834[/C][/ROW]
[ROW][C]44[/C][C]-0.214464[/C][C]-1.6473[/C][C]0.947597[/C][/ROW]
[ROW][C]45[/C][C]0.081813[/C][C]0.6284[/C][C]0.266078[/C][/ROW]
[ROW][C]46[/C][C]0.001174[/C][C]0.009[/C][C]0.496418[/C][/ROW]
[ROW][C]47[/C][C]0.074744[/C][C]0.5741[/C][C]0.284035[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2590&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2590&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
017.68110
1-0.237156-1.82160.963209
2-0.288173-2.21350.984629
3-0.143389-1.10140.8624
40.220731.69550.04763
50.1530591.17570.122226
6-0.319923-2.45740.991523
70.0724160.55620.290076
80.0042140.03240.487144
90.0787970.60520.273667
10-0.043073-0.33080.629034
110.0301810.23180.408738
12-0.047242-0.36290.641001
13-0.022284-0.17120.567659
140.176481.35560.090202
15-0.078553-0.60340.725716
16-0.141668-1.08820.859528
170.006090.04680.481425
180.0851730.65420.257753
190.079240.60870.272545
20-0.091911-0.7060.758511
21-0.01867-0.14340.556771
220.0356370.27370.392624
230.0478480.36750.35727
240.0329530.25310.400529
25-0.139733-1.07330.856249
26-0.02352-0.18070.571375
270.0909760.69880.243712
280.0683090.52470.300883
29-0.064358-0.49430.688551
30-0.123989-0.95240.827604
310.1993521.53130.065526
32-0.043961-0.33770.631596
33-0.146981-1.1290.868262
340.0305010.23430.407788
350.0665730.51140.305504
360.0835210.64150.26183
37-0.194783-1.49620.930029
380.1409331.08250.141711
39-0.003716-0.02850.511339
40-0.005829-0.04480.517779
41-0.083206-0.63910.737391
420.0951280.73070.233929
430.0740480.56880.285834
44-0.214464-1.64730.947597
450.0818130.62840.266078
460.0011740.0090.496418
470.0747440.57410.284035







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.237156-1.82160.963209
1-0.364941-2.80320.996581
2-0.395102-3.03480.998212
3-0.1189-0.91330.817597
40.0434150.33350.369977
5-0.299171-2.2980.987437
6-0.028004-0.21510.584786
7-0.17558-1.34870.908699
8-0.162247-1.24620.8912
9-0.093496-0.71820.762252
100.0158520.12180.45175
11-0.164545-1.26390.894381
12-0.072697-0.55840.710656
130.1367221.05020.148958
14-0.003632-0.02790.51108
15-0.118032-0.90660.815853
160.0163490.12560.450245
17-0.14287-1.09740.861539
18-0.047465-0.36460.641637
190.0601380.46190.322916
20-0.016064-0.12340.548891
21-0.03873-0.29750.61643
220.0934790.7180.237787
230.1061130.81510.209155
24-0.077823-0.59780.72386
25-0.017539-0.13470.553355
260.0652830.50140.308962
27-0.030165-0.23170.591216
280.0603680.46370.322287
290.0235460.18090.428548
300.1544271.18620.120154
31-0.008897-0.06830.527128
32-0.160513-1.23290.888752
33-0.038623-0.29670.616118
34-0.118073-0.90690.815934
35-0.056892-0.4370.668146
36-0.125037-0.96040.829619
370.0391460.30070.382355
38-0.066258-0.50890.693653
39-0.001033-0.00790.503151
40-0.126396-0.97090.832211
41-0.013309-0.10220.540539
420.0300720.2310.409061
43-0.08378-0.64350.738812
44-0.033253-0.25540.600357
45-0.017392-0.13360.552908
46-0.003677-0.02820.511217
470.0191710.14730.441716

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.237156 & -1.8216 & 0.963209 \tabularnewline
1 & -0.364941 & -2.8032 & 0.996581 \tabularnewline
2 & -0.395102 & -3.0348 & 0.998212 \tabularnewline
3 & -0.1189 & -0.9133 & 0.817597 \tabularnewline
4 & 0.043415 & 0.3335 & 0.369977 \tabularnewline
5 & -0.299171 & -2.298 & 0.987437 \tabularnewline
6 & -0.028004 & -0.2151 & 0.584786 \tabularnewline
7 & -0.17558 & -1.3487 & 0.908699 \tabularnewline
8 & -0.162247 & -1.2462 & 0.8912 \tabularnewline
9 & -0.093496 & -0.7182 & 0.762252 \tabularnewline
10 & 0.015852 & 0.1218 & 0.45175 \tabularnewline
11 & -0.164545 & -1.2639 & 0.894381 \tabularnewline
12 & -0.072697 & -0.5584 & 0.710656 \tabularnewline
13 & 0.136722 & 1.0502 & 0.148958 \tabularnewline
14 & -0.003632 & -0.0279 & 0.51108 \tabularnewline
15 & -0.118032 & -0.9066 & 0.815853 \tabularnewline
16 & 0.016349 & 0.1256 & 0.450245 \tabularnewline
17 & -0.14287 & -1.0974 & 0.861539 \tabularnewline
18 & -0.047465 & -0.3646 & 0.641637 \tabularnewline
19 & 0.060138 & 0.4619 & 0.322916 \tabularnewline
20 & -0.016064 & -0.1234 & 0.548891 \tabularnewline
21 & -0.03873 & -0.2975 & 0.61643 \tabularnewline
22 & 0.093479 & 0.718 & 0.237787 \tabularnewline
23 & 0.106113 & 0.8151 & 0.209155 \tabularnewline
24 & -0.077823 & -0.5978 & 0.72386 \tabularnewline
25 & -0.017539 & -0.1347 & 0.553355 \tabularnewline
26 & 0.065283 & 0.5014 & 0.308962 \tabularnewline
27 & -0.030165 & -0.2317 & 0.591216 \tabularnewline
28 & 0.060368 & 0.4637 & 0.322287 \tabularnewline
29 & 0.023546 & 0.1809 & 0.428548 \tabularnewline
30 & 0.154427 & 1.1862 & 0.120154 \tabularnewline
31 & -0.008897 & -0.0683 & 0.527128 \tabularnewline
32 & -0.160513 & -1.2329 & 0.888752 \tabularnewline
33 & -0.038623 & -0.2967 & 0.616118 \tabularnewline
34 & -0.118073 & -0.9069 & 0.815934 \tabularnewline
35 & -0.056892 & -0.437 & 0.668146 \tabularnewline
36 & -0.125037 & -0.9604 & 0.829619 \tabularnewline
37 & 0.039146 & 0.3007 & 0.382355 \tabularnewline
38 & -0.066258 & -0.5089 & 0.693653 \tabularnewline
39 & -0.001033 & -0.0079 & 0.503151 \tabularnewline
40 & -0.126396 & -0.9709 & 0.832211 \tabularnewline
41 & -0.013309 & -0.1022 & 0.540539 \tabularnewline
42 & 0.030072 & 0.231 & 0.409061 \tabularnewline
43 & -0.08378 & -0.6435 & 0.738812 \tabularnewline
44 & -0.033253 & -0.2554 & 0.600357 \tabularnewline
45 & -0.017392 & -0.1336 & 0.552908 \tabularnewline
46 & -0.003677 & -0.0282 & 0.511217 \tabularnewline
47 & 0.019171 & 0.1473 & 0.441716 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2590&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]-0.237156[/C][C]-1.8216[/C][C]0.963209[/C][/ROW]
[ROW][C]1[/C][C]-0.364941[/C][C]-2.8032[/C][C]0.996581[/C][/ROW]
[ROW][C]2[/C][C]-0.395102[/C][C]-3.0348[/C][C]0.998212[/C][/ROW]
[ROW][C]3[/C][C]-0.1189[/C][C]-0.9133[/C][C]0.817597[/C][/ROW]
[ROW][C]4[/C][C]0.043415[/C][C]0.3335[/C][C]0.369977[/C][/ROW]
[ROW][C]5[/C][C]-0.299171[/C][C]-2.298[/C][C]0.987437[/C][/ROW]
[ROW][C]6[/C][C]-0.028004[/C][C]-0.2151[/C][C]0.584786[/C][/ROW]
[ROW][C]7[/C][C]-0.17558[/C][C]-1.3487[/C][C]0.908699[/C][/ROW]
[ROW][C]8[/C][C]-0.162247[/C][C]-1.2462[/C][C]0.8912[/C][/ROW]
[ROW][C]9[/C][C]-0.093496[/C][C]-0.7182[/C][C]0.762252[/C][/ROW]
[ROW][C]10[/C][C]0.015852[/C][C]0.1218[/C][C]0.45175[/C][/ROW]
[ROW][C]11[/C][C]-0.164545[/C][C]-1.2639[/C][C]0.894381[/C][/ROW]
[ROW][C]12[/C][C]-0.072697[/C][C]-0.5584[/C][C]0.710656[/C][/ROW]
[ROW][C]13[/C][C]0.136722[/C][C]1.0502[/C][C]0.148958[/C][/ROW]
[ROW][C]14[/C][C]-0.003632[/C][C]-0.0279[/C][C]0.51108[/C][/ROW]
[ROW][C]15[/C][C]-0.118032[/C][C]-0.9066[/C][C]0.815853[/C][/ROW]
[ROW][C]16[/C][C]0.016349[/C][C]0.1256[/C][C]0.450245[/C][/ROW]
[ROW][C]17[/C][C]-0.14287[/C][C]-1.0974[/C][C]0.861539[/C][/ROW]
[ROW][C]18[/C][C]-0.047465[/C][C]-0.3646[/C][C]0.641637[/C][/ROW]
[ROW][C]19[/C][C]0.060138[/C][C]0.4619[/C][C]0.322916[/C][/ROW]
[ROW][C]20[/C][C]-0.016064[/C][C]-0.1234[/C][C]0.548891[/C][/ROW]
[ROW][C]21[/C][C]-0.03873[/C][C]-0.2975[/C][C]0.61643[/C][/ROW]
[ROW][C]22[/C][C]0.093479[/C][C]0.718[/C][C]0.237787[/C][/ROW]
[ROW][C]23[/C][C]0.106113[/C][C]0.8151[/C][C]0.209155[/C][/ROW]
[ROW][C]24[/C][C]-0.077823[/C][C]-0.5978[/C][C]0.72386[/C][/ROW]
[ROW][C]25[/C][C]-0.017539[/C][C]-0.1347[/C][C]0.553355[/C][/ROW]
[ROW][C]26[/C][C]0.065283[/C][C]0.5014[/C][C]0.308962[/C][/ROW]
[ROW][C]27[/C][C]-0.030165[/C][C]-0.2317[/C][C]0.591216[/C][/ROW]
[ROW][C]28[/C][C]0.060368[/C][C]0.4637[/C][C]0.322287[/C][/ROW]
[ROW][C]29[/C][C]0.023546[/C][C]0.1809[/C][C]0.428548[/C][/ROW]
[ROW][C]30[/C][C]0.154427[/C][C]1.1862[/C][C]0.120154[/C][/ROW]
[ROW][C]31[/C][C]-0.008897[/C][C]-0.0683[/C][C]0.527128[/C][/ROW]
[ROW][C]32[/C][C]-0.160513[/C][C]-1.2329[/C][C]0.888752[/C][/ROW]
[ROW][C]33[/C][C]-0.038623[/C][C]-0.2967[/C][C]0.616118[/C][/ROW]
[ROW][C]34[/C][C]-0.118073[/C][C]-0.9069[/C][C]0.815934[/C][/ROW]
[ROW][C]35[/C][C]-0.056892[/C][C]-0.437[/C][C]0.668146[/C][/ROW]
[ROW][C]36[/C][C]-0.125037[/C][C]-0.9604[/C][C]0.829619[/C][/ROW]
[ROW][C]37[/C][C]0.039146[/C][C]0.3007[/C][C]0.382355[/C][/ROW]
[ROW][C]38[/C][C]-0.066258[/C][C]-0.5089[/C][C]0.693653[/C][/ROW]
[ROW][C]39[/C][C]-0.001033[/C][C]-0.0079[/C][C]0.503151[/C][/ROW]
[ROW][C]40[/C][C]-0.126396[/C][C]-0.9709[/C][C]0.832211[/C][/ROW]
[ROW][C]41[/C][C]-0.013309[/C][C]-0.1022[/C][C]0.540539[/C][/ROW]
[ROW][C]42[/C][C]0.030072[/C][C]0.231[/C][C]0.409061[/C][/ROW]
[ROW][C]43[/C][C]-0.08378[/C][C]-0.6435[/C][C]0.738812[/C][/ROW]
[ROW][C]44[/C][C]-0.033253[/C][C]-0.2554[/C][C]0.600357[/C][/ROW]
[ROW][C]45[/C][C]-0.017392[/C][C]-0.1336[/C][C]0.552908[/C][/ROW]
[ROW][C]46[/C][C]-0.003677[/C][C]-0.0282[/C][C]0.511217[/C][/ROW]
[ROW][C]47[/C][C]0.019171[/C][C]0.1473[/C][C]0.441716[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2590&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2590&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
0-0.237156-1.82160.963209
1-0.364941-2.80320.996581
2-0.395102-3.03480.998212
3-0.1189-0.91330.817597
40.0434150.33350.369977
5-0.299171-2.2980.987437
6-0.028004-0.21510.584786
7-0.17558-1.34870.908699
8-0.162247-1.24620.8912
9-0.093496-0.71820.762252
100.0158520.12180.45175
11-0.164545-1.26390.894381
12-0.072697-0.55840.710656
130.1367221.05020.148958
14-0.003632-0.02790.51108
15-0.118032-0.90660.815853
160.0163490.12560.450245
17-0.14287-1.09740.861539
18-0.047465-0.36460.641637
190.0601380.46190.322916
20-0.016064-0.12340.548891
21-0.03873-0.29750.61643
220.0934790.7180.237787
230.1061130.81510.209155
24-0.077823-0.59780.72386
25-0.017539-0.13470.553355
260.0652830.50140.308962
27-0.030165-0.23170.591216
280.0603680.46370.322287
290.0235460.18090.428548
300.1544271.18620.120154
31-0.008897-0.06830.527128
32-0.160513-1.23290.888752
33-0.038623-0.29670.616118
34-0.118073-0.90690.815934
35-0.056892-0.4370.668146
36-0.125037-0.96040.829619
370.0391460.30070.382355
38-0.066258-0.50890.693653
39-0.001033-0.00790.503151
40-0.126396-0.97090.832211
41-0.013309-0.10220.540539
420.0300720.2310.409061
43-0.08378-0.64350.738812
44-0.033253-0.25540.600357
45-0.017392-0.13360.552908
46-0.003677-0.02820.511217
470.0191710.14730.441716



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 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')