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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, 27 Nov 2007 03:07:37 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/27/t1196157520te1oo12rc4u5ffh.htm/, Retrieved Sun, 05 May 2024 08:44:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6796, Retrieved Sun, 05 May 2024 08:44:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVerbeterd
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opdracht 3 Q2 Kolom3] [2007-11-27 10:07:37] [00ef4a509c2a49a63e98610ffa741e39] [Current]
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Dataseries X:
5329
4903
5826
6006
6552
6748
5633
5361
6631
7078
6100
6376
5571
5512
5461
5704
6420
6344
5624
5322
6098
6303
5581
5491
5108
4585
5545
5145
5888
5925
5715
5595
6160
6163
5906
5045
5130
4743
5438
5698
6333
6340
5635
5948
6199
6023
4540
4315
5161
4433
5199
5582
5936
6391
5647
5827
6101
5777
5511
5036
4468
4053
4821
5138
6102
6029
5365
5717
6150
5737
5268
5307




Summary of compuational 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 compuational 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=6796&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]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=6796&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6796&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.3176782.46070.00838
20.1057170.81890.208047
30.1055760.81780.208356
40.0587690.45520.325296
50.0685310.53080.298745
6-0.017274-0.13380.552997
7-0.162077-1.25540.892907
8-0.093528-0.72450.764203
9-0.151304-1.1720.877084
10-0.065178-0.50490.692249
11-0.122295-0.94730.826356
12-0.339156-2.62710.994542
13-0.10309-0.79850.786144
14-0.015221-0.11790.54673
15-0.084731-0.65630.742937
16-0.167344-1.29620.900072
17-0.029765-0.23060.590779
180.0150270.11640.453863
190.067550.52320.301368
20-0.079602-0.61660.730082
210.0359420.27840.39083
22-0.003626-0.02810.511157
230.0033940.02630.489557
240.0882010.68320.248555
250.0989510.76650.223201
260.0619880.48020.316432
270.142311.10230.13736
280.1162710.90060.185693
29-0.000365-0.00280.501122
30-0.003814-0.02950.511736
31-0.033409-0.25880.601656
320.0746960.57860.282515
33-0.126461-0.97960.834382
34-0.166038-1.28610.898329
35-0.046197-0.35780.63914
36-0.082873-0.64190.738319
37-0.021364-0.16550.565441
38-0.000727-0.00560.502236
39-0.001544-0.0120.504753
400.0995350.7710.221867
410.0257880.19980.421174
420.0048030.03720.485224
43-0.01531-0.11860.547001
44-0.071303-0.55230.708606
450.0874830.67760.250302
460.0897530.69520.244799
47-0.033298-0.25790.601326

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.317678 & 2.4607 & 0.00838 \tabularnewline
2 & 0.105717 & 0.8189 & 0.208047 \tabularnewline
3 & 0.105576 & 0.8178 & 0.208356 \tabularnewline
4 & 0.058769 & 0.4552 & 0.325296 \tabularnewline
5 & 0.068531 & 0.5308 & 0.298745 \tabularnewline
6 & -0.017274 & -0.1338 & 0.552997 \tabularnewline
7 & -0.162077 & -1.2554 & 0.892907 \tabularnewline
8 & -0.093528 & -0.7245 & 0.764203 \tabularnewline
9 & -0.151304 & -1.172 & 0.877084 \tabularnewline
10 & -0.065178 & -0.5049 & 0.692249 \tabularnewline
11 & -0.122295 & -0.9473 & 0.826356 \tabularnewline
12 & -0.339156 & -2.6271 & 0.994542 \tabularnewline
13 & -0.10309 & -0.7985 & 0.786144 \tabularnewline
14 & -0.015221 & -0.1179 & 0.54673 \tabularnewline
15 & -0.084731 & -0.6563 & 0.742937 \tabularnewline
16 & -0.167344 & -1.2962 & 0.900072 \tabularnewline
17 & -0.029765 & -0.2306 & 0.590779 \tabularnewline
18 & 0.015027 & 0.1164 & 0.453863 \tabularnewline
19 & 0.06755 & 0.5232 & 0.301368 \tabularnewline
20 & -0.079602 & -0.6166 & 0.730082 \tabularnewline
21 & 0.035942 & 0.2784 & 0.39083 \tabularnewline
22 & -0.003626 & -0.0281 & 0.511157 \tabularnewline
23 & 0.003394 & 0.0263 & 0.489557 \tabularnewline
24 & 0.088201 & 0.6832 & 0.248555 \tabularnewline
25 & 0.098951 & 0.7665 & 0.223201 \tabularnewline
26 & 0.061988 & 0.4802 & 0.316432 \tabularnewline
27 & 0.14231 & 1.1023 & 0.13736 \tabularnewline
28 & 0.116271 & 0.9006 & 0.185693 \tabularnewline
29 & -0.000365 & -0.0028 & 0.501122 \tabularnewline
30 & -0.003814 & -0.0295 & 0.511736 \tabularnewline
31 & -0.033409 & -0.2588 & 0.601656 \tabularnewline
32 & 0.074696 & 0.5786 & 0.282515 \tabularnewline
33 & -0.126461 & -0.9796 & 0.834382 \tabularnewline
34 & -0.166038 & -1.2861 & 0.898329 \tabularnewline
35 & -0.046197 & -0.3578 & 0.63914 \tabularnewline
36 & -0.082873 & -0.6419 & 0.738319 \tabularnewline
37 & -0.021364 & -0.1655 & 0.565441 \tabularnewline
38 & -0.000727 & -0.0056 & 0.502236 \tabularnewline
39 & -0.001544 & -0.012 & 0.504753 \tabularnewline
40 & 0.099535 & 0.771 & 0.221867 \tabularnewline
41 & 0.025788 & 0.1998 & 0.421174 \tabularnewline
42 & 0.004803 & 0.0372 & 0.485224 \tabularnewline
43 & -0.01531 & -0.1186 & 0.547001 \tabularnewline
44 & -0.071303 & -0.5523 & 0.708606 \tabularnewline
45 & 0.087483 & 0.6776 & 0.250302 \tabularnewline
46 & 0.089753 & 0.6952 & 0.244799 \tabularnewline
47 & -0.033298 & -0.2579 & 0.601326 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6796&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.317678[/C][C]2.4607[/C][C]0.00838[/C][/ROW]
[ROW][C]2[/C][C]0.105717[/C][C]0.8189[/C][C]0.208047[/C][/ROW]
[ROW][C]3[/C][C]0.105576[/C][C]0.8178[/C][C]0.208356[/C][/ROW]
[ROW][C]4[/C][C]0.058769[/C][C]0.4552[/C][C]0.325296[/C][/ROW]
[ROW][C]5[/C][C]0.068531[/C][C]0.5308[/C][C]0.298745[/C][/ROW]
[ROW][C]6[/C][C]-0.017274[/C][C]-0.1338[/C][C]0.552997[/C][/ROW]
[ROW][C]7[/C][C]-0.162077[/C][C]-1.2554[/C][C]0.892907[/C][/ROW]
[ROW][C]8[/C][C]-0.093528[/C][C]-0.7245[/C][C]0.764203[/C][/ROW]
[ROW][C]9[/C][C]-0.151304[/C][C]-1.172[/C][C]0.877084[/C][/ROW]
[ROW][C]10[/C][C]-0.065178[/C][C]-0.5049[/C][C]0.692249[/C][/ROW]
[ROW][C]11[/C][C]-0.122295[/C][C]-0.9473[/C][C]0.826356[/C][/ROW]
[ROW][C]12[/C][C]-0.339156[/C][C]-2.6271[/C][C]0.994542[/C][/ROW]
[ROW][C]13[/C][C]-0.10309[/C][C]-0.7985[/C][C]0.786144[/C][/ROW]
[ROW][C]14[/C][C]-0.015221[/C][C]-0.1179[/C][C]0.54673[/C][/ROW]
[ROW][C]15[/C][C]-0.084731[/C][C]-0.6563[/C][C]0.742937[/C][/ROW]
[ROW][C]16[/C][C]-0.167344[/C][C]-1.2962[/C][C]0.900072[/C][/ROW]
[ROW][C]17[/C][C]-0.029765[/C][C]-0.2306[/C][C]0.590779[/C][/ROW]
[ROW][C]18[/C][C]0.015027[/C][C]0.1164[/C][C]0.453863[/C][/ROW]
[ROW][C]19[/C][C]0.06755[/C][C]0.5232[/C][C]0.301368[/C][/ROW]
[ROW][C]20[/C][C]-0.079602[/C][C]-0.6166[/C][C]0.730082[/C][/ROW]
[ROW][C]21[/C][C]0.035942[/C][C]0.2784[/C][C]0.39083[/C][/ROW]
[ROW][C]22[/C][C]-0.003626[/C][C]-0.0281[/C][C]0.511157[/C][/ROW]
[ROW][C]23[/C][C]0.003394[/C][C]0.0263[/C][C]0.489557[/C][/ROW]
[ROW][C]24[/C][C]0.088201[/C][C]0.6832[/C][C]0.248555[/C][/ROW]
[ROW][C]25[/C][C]0.098951[/C][C]0.7665[/C][C]0.223201[/C][/ROW]
[ROW][C]26[/C][C]0.061988[/C][C]0.4802[/C][C]0.316432[/C][/ROW]
[ROW][C]27[/C][C]0.14231[/C][C]1.1023[/C][C]0.13736[/C][/ROW]
[ROW][C]28[/C][C]0.116271[/C][C]0.9006[/C][C]0.185693[/C][/ROW]
[ROW][C]29[/C][C]-0.000365[/C][C]-0.0028[/C][C]0.501122[/C][/ROW]
[ROW][C]30[/C][C]-0.003814[/C][C]-0.0295[/C][C]0.511736[/C][/ROW]
[ROW][C]31[/C][C]-0.033409[/C][C]-0.2588[/C][C]0.601656[/C][/ROW]
[ROW][C]32[/C][C]0.074696[/C][C]0.5786[/C][C]0.282515[/C][/ROW]
[ROW][C]33[/C][C]-0.126461[/C][C]-0.9796[/C][C]0.834382[/C][/ROW]
[ROW][C]34[/C][C]-0.166038[/C][C]-1.2861[/C][C]0.898329[/C][/ROW]
[ROW][C]35[/C][C]-0.046197[/C][C]-0.3578[/C][C]0.63914[/C][/ROW]
[ROW][C]36[/C][C]-0.082873[/C][C]-0.6419[/C][C]0.738319[/C][/ROW]
[ROW][C]37[/C][C]-0.021364[/C][C]-0.1655[/C][C]0.565441[/C][/ROW]
[ROW][C]38[/C][C]-0.000727[/C][C]-0.0056[/C][C]0.502236[/C][/ROW]
[ROW][C]39[/C][C]-0.001544[/C][C]-0.012[/C][C]0.504753[/C][/ROW]
[ROW][C]40[/C][C]0.099535[/C][C]0.771[/C][C]0.221867[/C][/ROW]
[ROW][C]41[/C][C]0.025788[/C][C]0.1998[/C][C]0.421174[/C][/ROW]
[ROW][C]42[/C][C]0.004803[/C][C]0.0372[/C][C]0.485224[/C][/ROW]
[ROW][C]43[/C][C]-0.01531[/C][C]-0.1186[/C][C]0.547001[/C][/ROW]
[ROW][C]44[/C][C]-0.071303[/C][C]-0.5523[/C][C]0.708606[/C][/ROW]
[ROW][C]45[/C][C]0.087483[/C][C]0.6776[/C][C]0.250302[/C][/ROW]
[ROW][C]46[/C][C]0.089753[/C][C]0.6952[/C][C]0.244799[/C][/ROW]
[ROW][C]47[/C][C]-0.033298[/C][C]-0.2579[/C][C]0.601326[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6796&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6796&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
017.7460
10.3176782.46070.00838
20.1057170.81890.208047
30.1055760.81780.208356
40.0587690.45520.325296
50.0685310.53080.298745
6-0.017274-0.13380.552997
7-0.162077-1.25540.892907
8-0.093528-0.72450.764203
9-0.151304-1.1720.877084
10-0.065178-0.50490.692249
11-0.122295-0.94730.826356
12-0.339156-2.62710.994542
13-0.10309-0.79850.786144
14-0.015221-0.11790.54673
15-0.084731-0.65630.742937
16-0.167344-1.29620.900072
17-0.029765-0.23060.590779
180.0150270.11640.453863
190.067550.52320.301368
20-0.079602-0.61660.730082
210.0359420.27840.39083
22-0.003626-0.02810.511157
230.0033940.02630.489557
240.0882010.68320.248555
250.0989510.76650.223201
260.0619880.48020.316432
270.142311.10230.13736
280.1162710.90060.185693
29-0.000365-0.00280.501122
30-0.003814-0.02950.511736
31-0.033409-0.25880.601656
320.0746960.57860.282515
33-0.126461-0.97960.834382
34-0.166038-1.28610.898329
35-0.046197-0.35780.63914
36-0.082873-0.64190.738319
37-0.021364-0.16550.565441
38-0.000727-0.00560.502236
39-0.001544-0.0120.504753
400.0995350.7710.221867
410.0257880.19980.421174
420.0048030.03720.485224
43-0.01531-0.11860.547001
44-0.071303-0.55230.708606
450.0874830.67760.250302
460.0897530.69520.244799
47-0.033298-0.25790.601326







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3176782.46070.00838
10.0053360.04130.483583
20.0783890.60720.273005
30.0029150.02260.49103
40.0480440.37220.355546
5-0.06704-0.51930.697266
6-0.162729-1.26050.893814
7-0.003546-0.02750.510912
8-0.124155-0.96170.82997
90.0470490.36440.358406
10-0.1066-0.82570.793882
11-0.275876-2.13690.981655
120.1042480.80750.211284
130.0008970.00690.497241
14-0.069814-0.54080.704667
15-0.18385-1.42410.9202
160.1172040.90790.183792
17-0.032834-0.25430.599946
18-0.017296-0.1340.553065
19-0.16808-1.30190.901044
200.0713530.55270.291262
21-0.053459-0.41410.659858
22-0.078756-0.610.727931
23-0.013474-0.10440.541388
240.0857760.66440.254484
250.0649830.50340.308278
260.0123680.09580.461999
27-0.041879-0.32440.626615
28-0.05711-0.44240.670096
290.0333840.25860.398417
30-0.075835-0.58740.720436
310.0135310.10480.458437
32-0.145915-1.13030.868567
33-0.063045-0.48830.686457
340.0407730.31580.376615
35-0.112393-0.87060.806277
360.1334921.0340.152637
37-0.053-0.41050.658563
380.1518181.1760.122124
390.0210240.16290.435591
40-0.052404-0.40590.656876
41-0.053003-0.41060.658571
42-0.070712-0.54770.707045
430.0025570.01980.49213
44-0.025169-0.1950.576959
450.0406140.31460.377081
46-0.039743-0.30780.620368
47-0.022361-0.17320.568466

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.317678 & 2.4607 & 0.00838 \tabularnewline
1 & 0.005336 & 0.0413 & 0.483583 \tabularnewline
2 & 0.078389 & 0.6072 & 0.273005 \tabularnewline
3 & 0.002915 & 0.0226 & 0.49103 \tabularnewline
4 & 0.048044 & 0.3722 & 0.355546 \tabularnewline
5 & -0.06704 & -0.5193 & 0.697266 \tabularnewline
6 & -0.162729 & -1.2605 & 0.893814 \tabularnewline
7 & -0.003546 & -0.0275 & 0.510912 \tabularnewline
8 & -0.124155 & -0.9617 & 0.82997 \tabularnewline
9 & 0.047049 & 0.3644 & 0.358406 \tabularnewline
10 & -0.1066 & -0.8257 & 0.793882 \tabularnewline
11 & -0.275876 & -2.1369 & 0.981655 \tabularnewline
12 & 0.104248 & 0.8075 & 0.211284 \tabularnewline
13 & 0.000897 & 0.0069 & 0.497241 \tabularnewline
14 & -0.069814 & -0.5408 & 0.704667 \tabularnewline
15 & -0.18385 & -1.4241 & 0.9202 \tabularnewline
16 & 0.117204 & 0.9079 & 0.183792 \tabularnewline
17 & -0.032834 & -0.2543 & 0.599946 \tabularnewline
18 & -0.017296 & -0.134 & 0.553065 \tabularnewline
19 & -0.16808 & -1.3019 & 0.901044 \tabularnewline
20 & 0.071353 & 0.5527 & 0.291262 \tabularnewline
21 & -0.053459 & -0.4141 & 0.659858 \tabularnewline
22 & -0.078756 & -0.61 & 0.727931 \tabularnewline
23 & -0.013474 & -0.1044 & 0.541388 \tabularnewline
24 & 0.085776 & 0.6644 & 0.254484 \tabularnewline
25 & 0.064983 & 0.5034 & 0.308278 \tabularnewline
26 & 0.012368 & 0.0958 & 0.461999 \tabularnewline
27 & -0.041879 & -0.3244 & 0.626615 \tabularnewline
28 & -0.05711 & -0.4424 & 0.670096 \tabularnewline
29 & 0.033384 & 0.2586 & 0.398417 \tabularnewline
30 & -0.075835 & -0.5874 & 0.720436 \tabularnewline
31 & 0.013531 & 0.1048 & 0.458437 \tabularnewline
32 & -0.145915 & -1.1303 & 0.868567 \tabularnewline
33 & -0.063045 & -0.4883 & 0.686457 \tabularnewline
34 & 0.040773 & 0.3158 & 0.376615 \tabularnewline
35 & -0.112393 & -0.8706 & 0.806277 \tabularnewline
36 & 0.133492 & 1.034 & 0.152637 \tabularnewline
37 & -0.053 & -0.4105 & 0.658563 \tabularnewline
38 & 0.151818 & 1.176 & 0.122124 \tabularnewline
39 & 0.021024 & 0.1629 & 0.435591 \tabularnewline
40 & -0.052404 & -0.4059 & 0.656876 \tabularnewline
41 & -0.053003 & -0.4106 & 0.658571 \tabularnewline
42 & -0.070712 & -0.5477 & 0.707045 \tabularnewline
43 & 0.002557 & 0.0198 & 0.49213 \tabularnewline
44 & -0.025169 & -0.195 & 0.576959 \tabularnewline
45 & 0.040614 & 0.3146 & 0.377081 \tabularnewline
46 & -0.039743 & -0.3078 & 0.620368 \tabularnewline
47 & -0.022361 & -0.1732 & 0.568466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6796&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]0.317678[/C][C]2.4607[/C][C]0.00838[/C][/ROW]
[ROW][C]1[/C][C]0.005336[/C][C]0.0413[/C][C]0.483583[/C][/ROW]
[ROW][C]2[/C][C]0.078389[/C][C]0.6072[/C][C]0.273005[/C][/ROW]
[ROW][C]3[/C][C]0.002915[/C][C]0.0226[/C][C]0.49103[/C][/ROW]
[ROW][C]4[/C][C]0.048044[/C][C]0.3722[/C][C]0.355546[/C][/ROW]
[ROW][C]5[/C][C]-0.06704[/C][C]-0.5193[/C][C]0.697266[/C][/ROW]
[ROW][C]6[/C][C]-0.162729[/C][C]-1.2605[/C][C]0.893814[/C][/ROW]
[ROW][C]7[/C][C]-0.003546[/C][C]-0.0275[/C][C]0.510912[/C][/ROW]
[ROW][C]8[/C][C]-0.124155[/C][C]-0.9617[/C][C]0.82997[/C][/ROW]
[ROW][C]9[/C][C]0.047049[/C][C]0.3644[/C][C]0.358406[/C][/ROW]
[ROW][C]10[/C][C]-0.1066[/C][C]-0.8257[/C][C]0.793882[/C][/ROW]
[ROW][C]11[/C][C]-0.275876[/C][C]-2.1369[/C][C]0.981655[/C][/ROW]
[ROW][C]12[/C][C]0.104248[/C][C]0.8075[/C][C]0.211284[/C][/ROW]
[ROW][C]13[/C][C]0.000897[/C][C]0.0069[/C][C]0.497241[/C][/ROW]
[ROW][C]14[/C][C]-0.069814[/C][C]-0.5408[/C][C]0.704667[/C][/ROW]
[ROW][C]15[/C][C]-0.18385[/C][C]-1.4241[/C][C]0.9202[/C][/ROW]
[ROW][C]16[/C][C]0.117204[/C][C]0.9079[/C][C]0.183792[/C][/ROW]
[ROW][C]17[/C][C]-0.032834[/C][C]-0.2543[/C][C]0.599946[/C][/ROW]
[ROW][C]18[/C][C]-0.017296[/C][C]-0.134[/C][C]0.553065[/C][/ROW]
[ROW][C]19[/C][C]-0.16808[/C][C]-1.3019[/C][C]0.901044[/C][/ROW]
[ROW][C]20[/C][C]0.071353[/C][C]0.5527[/C][C]0.291262[/C][/ROW]
[ROW][C]21[/C][C]-0.053459[/C][C]-0.4141[/C][C]0.659858[/C][/ROW]
[ROW][C]22[/C][C]-0.078756[/C][C]-0.61[/C][C]0.727931[/C][/ROW]
[ROW][C]23[/C][C]-0.013474[/C][C]-0.1044[/C][C]0.541388[/C][/ROW]
[ROW][C]24[/C][C]0.085776[/C][C]0.6644[/C][C]0.254484[/C][/ROW]
[ROW][C]25[/C][C]0.064983[/C][C]0.5034[/C][C]0.308278[/C][/ROW]
[ROW][C]26[/C][C]0.012368[/C][C]0.0958[/C][C]0.461999[/C][/ROW]
[ROW][C]27[/C][C]-0.041879[/C][C]-0.3244[/C][C]0.626615[/C][/ROW]
[ROW][C]28[/C][C]-0.05711[/C][C]-0.4424[/C][C]0.670096[/C][/ROW]
[ROW][C]29[/C][C]0.033384[/C][C]0.2586[/C][C]0.398417[/C][/ROW]
[ROW][C]30[/C][C]-0.075835[/C][C]-0.5874[/C][C]0.720436[/C][/ROW]
[ROW][C]31[/C][C]0.013531[/C][C]0.1048[/C][C]0.458437[/C][/ROW]
[ROW][C]32[/C][C]-0.145915[/C][C]-1.1303[/C][C]0.868567[/C][/ROW]
[ROW][C]33[/C][C]-0.063045[/C][C]-0.4883[/C][C]0.686457[/C][/ROW]
[ROW][C]34[/C][C]0.040773[/C][C]0.3158[/C][C]0.376615[/C][/ROW]
[ROW][C]35[/C][C]-0.112393[/C][C]-0.8706[/C][C]0.806277[/C][/ROW]
[ROW][C]36[/C][C]0.133492[/C][C]1.034[/C][C]0.152637[/C][/ROW]
[ROW][C]37[/C][C]-0.053[/C][C]-0.4105[/C][C]0.658563[/C][/ROW]
[ROW][C]38[/C][C]0.151818[/C][C]1.176[/C][C]0.122124[/C][/ROW]
[ROW][C]39[/C][C]0.021024[/C][C]0.1629[/C][C]0.435591[/C][/ROW]
[ROW][C]40[/C][C]-0.052404[/C][C]-0.4059[/C][C]0.656876[/C][/ROW]
[ROW][C]41[/C][C]-0.053003[/C][C]-0.4106[/C][C]0.658571[/C][/ROW]
[ROW][C]42[/C][C]-0.070712[/C][C]-0.5477[/C][C]0.707045[/C][/ROW]
[ROW][C]43[/C][C]0.002557[/C][C]0.0198[/C][C]0.49213[/C][/ROW]
[ROW][C]44[/C][C]-0.025169[/C][C]-0.195[/C][C]0.576959[/C][/ROW]
[ROW][C]45[/C][C]0.040614[/C][C]0.3146[/C][C]0.377081[/C][/ROW]
[ROW][C]46[/C][C]-0.039743[/C][C]-0.3078[/C][C]0.620368[/C][/ROW]
[ROW][C]47[/C][C]-0.022361[/C][C]-0.1732[/C][C]0.568466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6796&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6796&T=2

As an alternative you can also use a QR Code:  

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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3176782.46070.00838
10.0053360.04130.483583
20.0783890.60720.273005
30.0029150.02260.49103
40.0480440.37220.355546
5-0.06704-0.51930.697266
6-0.162729-1.26050.893814
7-0.003546-0.02750.510912
8-0.124155-0.96170.82997
90.0470490.36440.358406
10-0.1066-0.82570.793882
11-0.275876-2.13690.981655
120.1042480.80750.211284
130.0008970.00690.497241
14-0.069814-0.54080.704667
15-0.18385-1.42410.9202
160.1172040.90790.183792
17-0.032834-0.25430.599946
18-0.017296-0.1340.553065
19-0.16808-1.30190.901044
200.0713530.55270.291262
21-0.053459-0.41410.659858
22-0.078756-0.610.727931
23-0.013474-0.10440.541388
240.0857760.66440.254484
250.0649830.50340.308278
260.0123680.09580.461999
27-0.041879-0.32440.626615
28-0.05711-0.44240.670096
290.0333840.25860.398417
30-0.075835-0.58740.720436
310.0135310.10480.458437
32-0.145915-1.13030.868567
33-0.063045-0.48830.686457
340.0407730.31580.376615
35-0.112393-0.87060.806277
360.1334921.0340.152637
37-0.053-0.41050.658563
380.1518181.1760.122124
390.0210240.16290.435591
40-0.052404-0.40590.656876
41-0.053003-0.41060.658571
42-0.070712-0.54770.707045
430.0025570.01980.49213
44-0.025169-0.1950.576959
450.0406140.31460.377081
46-0.039743-0.30780.620368
47-0.022361-0.17320.568466



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')