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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, 04 Jun 2009 02:12:26 -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/Jun/04/t12441032141plw49ig2drg8je.htm/, Retrieved Mon, 13 May 2024 20:33:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41533, Retrieved Mon, 13 May 2024 20:33:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelation2 ...] [2009-06-04 08:12:26] [822aa141fddc67f18188afbe1dd38d3f] [Current]
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Dataseries X:
233084
233898
231355
232662
230037
231814
246796
247891
248291
245766
238776
242541
246861
246843
246947
241679
240085
241514
250525
250567
252145
251877
245817
248269
246310
246733
245028
240022
238614
238096
248530
248381
247567
241783
235000
237384
238020
236412
232279
230408
230254
229217
239658
239906
236558
223566
216054
214685
216086
211692
204681
203075
198401
191246
206750
209611
199573
195635
190062
193134
194795
190835
185045
184425
177293
180549
195344
196597
189102
185749
185145
192243
197356




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=41533&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=41533&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41533&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
10.1691591.43540.077757
2-0.251057-2.13030.018283
3-0.251874-2.13720.017988
4-0.222127-1.88480.031746
50.217831.84840.034329
60.333262.82780.003033
70.1317061.11760.133734
8-0.194949-1.65420.05122
9-0.284041-2.41020.009251
10-0.209521-1.77780.039826
110.2174931.84550.034539
120.6311185.35520
130.0390550.33140.370655
14-0.207332-1.75930.04139
15-0.220831-1.87380.032507
16-0.16596-1.40820.081685
170.1717281.45720.07471
180.2015491.71020.045767
190.1007520.85490.197718
20-0.253554-2.15150.017397
21-0.286862-2.43410.008705
22-0.093114-0.79010.216032
230.1476971.25320.107085
240.4138153.51130.000387
250.0337230.28620.387792
26-0.224541-1.90530.030367
27-0.251893-2.13740.017982
28-0.125413-1.06420.145404
290.1240271.05240.148068
300.1593921.35250.090226
310.066390.56330.287479
32-0.228322-1.93740.028311
33-0.187776-1.59330.057733
34-0.020796-0.17650.430213
350.080010.67890.249687
360.2991962.53880.006643
370.0484770.41130.341022
38-0.203772-1.72910.044042
39-0.226279-1.920.029407
40-0.072892-0.61850.269095
410.0748190.63490.263767
420.1115580.94660.173503
430.0342640.29070.386042
44-0.21402-1.8160.036765
45-0.105944-0.8990.185834
46-0.008822-0.07490.470267
470.0101560.08620.465782
480.2214771.87930.032126

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.169159 & 1.4354 & 0.077757 \tabularnewline
2 & -0.251057 & -2.1303 & 0.018283 \tabularnewline
3 & -0.251874 & -2.1372 & 0.017988 \tabularnewline
4 & -0.222127 & -1.8848 & 0.031746 \tabularnewline
5 & 0.21783 & 1.8484 & 0.034329 \tabularnewline
6 & 0.33326 & 2.8278 & 0.003033 \tabularnewline
7 & 0.131706 & 1.1176 & 0.133734 \tabularnewline
8 & -0.194949 & -1.6542 & 0.05122 \tabularnewline
9 & -0.284041 & -2.4102 & 0.009251 \tabularnewline
10 & -0.209521 & -1.7778 & 0.039826 \tabularnewline
11 & 0.217493 & 1.8455 & 0.034539 \tabularnewline
12 & 0.631118 & 5.3552 & 0 \tabularnewline
13 & 0.039055 & 0.3314 & 0.370655 \tabularnewline
14 & -0.207332 & -1.7593 & 0.04139 \tabularnewline
15 & -0.220831 & -1.8738 & 0.032507 \tabularnewline
16 & -0.16596 & -1.4082 & 0.081685 \tabularnewline
17 & 0.171728 & 1.4572 & 0.07471 \tabularnewline
18 & 0.201549 & 1.7102 & 0.045767 \tabularnewline
19 & 0.100752 & 0.8549 & 0.197718 \tabularnewline
20 & -0.253554 & -2.1515 & 0.017397 \tabularnewline
21 & -0.286862 & -2.4341 & 0.008705 \tabularnewline
22 & -0.093114 & -0.7901 & 0.216032 \tabularnewline
23 & 0.147697 & 1.2532 & 0.107085 \tabularnewline
24 & 0.413815 & 3.5113 & 0.000387 \tabularnewline
25 & 0.033723 & 0.2862 & 0.387792 \tabularnewline
26 & -0.224541 & -1.9053 & 0.030367 \tabularnewline
27 & -0.251893 & -2.1374 & 0.017982 \tabularnewline
28 & -0.125413 & -1.0642 & 0.145404 \tabularnewline
29 & 0.124027 & 1.0524 & 0.148068 \tabularnewline
30 & 0.159392 & 1.3525 & 0.090226 \tabularnewline
31 & 0.06639 & 0.5633 & 0.287479 \tabularnewline
32 & -0.228322 & -1.9374 & 0.028311 \tabularnewline
33 & -0.187776 & -1.5933 & 0.057733 \tabularnewline
34 & -0.020796 & -0.1765 & 0.430213 \tabularnewline
35 & 0.08001 & 0.6789 & 0.249687 \tabularnewline
36 & 0.299196 & 2.5388 & 0.006643 \tabularnewline
37 & 0.048477 & 0.4113 & 0.341022 \tabularnewline
38 & -0.203772 & -1.7291 & 0.044042 \tabularnewline
39 & -0.226279 & -1.92 & 0.029407 \tabularnewline
40 & -0.072892 & -0.6185 & 0.269095 \tabularnewline
41 & 0.074819 & 0.6349 & 0.263767 \tabularnewline
42 & 0.111558 & 0.9466 & 0.173503 \tabularnewline
43 & 0.034264 & 0.2907 & 0.386042 \tabularnewline
44 & -0.21402 & -1.816 & 0.036765 \tabularnewline
45 & -0.105944 & -0.899 & 0.185834 \tabularnewline
46 & -0.008822 & -0.0749 & 0.470267 \tabularnewline
47 & 0.010156 & 0.0862 & 0.465782 \tabularnewline
48 & 0.221477 & 1.8793 & 0.032126 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41533&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]0.169159[/C][C]1.4354[/C][C]0.077757[/C][/ROW]
[ROW][C]2[/C][C]-0.251057[/C][C]-2.1303[/C][C]0.018283[/C][/ROW]
[ROW][C]3[/C][C]-0.251874[/C][C]-2.1372[/C][C]0.017988[/C][/ROW]
[ROW][C]4[/C][C]-0.222127[/C][C]-1.8848[/C][C]0.031746[/C][/ROW]
[ROW][C]5[/C][C]0.21783[/C][C]1.8484[/C][C]0.034329[/C][/ROW]
[ROW][C]6[/C][C]0.33326[/C][C]2.8278[/C][C]0.003033[/C][/ROW]
[ROW][C]7[/C][C]0.131706[/C][C]1.1176[/C][C]0.133734[/C][/ROW]
[ROW][C]8[/C][C]-0.194949[/C][C]-1.6542[/C][C]0.05122[/C][/ROW]
[ROW][C]9[/C][C]-0.284041[/C][C]-2.4102[/C][C]0.009251[/C][/ROW]
[ROW][C]10[/C][C]-0.209521[/C][C]-1.7778[/C][C]0.039826[/C][/ROW]
[ROW][C]11[/C][C]0.217493[/C][C]1.8455[/C][C]0.034539[/C][/ROW]
[ROW][C]12[/C][C]0.631118[/C][C]5.3552[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.039055[/C][C]0.3314[/C][C]0.370655[/C][/ROW]
[ROW][C]14[/C][C]-0.207332[/C][C]-1.7593[/C][C]0.04139[/C][/ROW]
[ROW][C]15[/C][C]-0.220831[/C][C]-1.8738[/C][C]0.032507[/C][/ROW]
[ROW][C]16[/C][C]-0.16596[/C][C]-1.4082[/C][C]0.081685[/C][/ROW]
[ROW][C]17[/C][C]0.171728[/C][C]1.4572[/C][C]0.07471[/C][/ROW]
[ROW][C]18[/C][C]0.201549[/C][C]1.7102[/C][C]0.045767[/C][/ROW]
[ROW][C]19[/C][C]0.100752[/C][C]0.8549[/C][C]0.197718[/C][/ROW]
[ROW][C]20[/C][C]-0.253554[/C][C]-2.1515[/C][C]0.017397[/C][/ROW]
[ROW][C]21[/C][C]-0.286862[/C][C]-2.4341[/C][C]0.008705[/C][/ROW]
[ROW][C]22[/C][C]-0.093114[/C][C]-0.7901[/C][C]0.216032[/C][/ROW]
[ROW][C]23[/C][C]0.147697[/C][C]1.2532[/C][C]0.107085[/C][/ROW]
[ROW][C]24[/C][C]0.413815[/C][C]3.5113[/C][C]0.000387[/C][/ROW]
[ROW][C]25[/C][C]0.033723[/C][C]0.2862[/C][C]0.387792[/C][/ROW]
[ROW][C]26[/C][C]-0.224541[/C][C]-1.9053[/C][C]0.030367[/C][/ROW]
[ROW][C]27[/C][C]-0.251893[/C][C]-2.1374[/C][C]0.017982[/C][/ROW]
[ROW][C]28[/C][C]-0.125413[/C][C]-1.0642[/C][C]0.145404[/C][/ROW]
[ROW][C]29[/C][C]0.124027[/C][C]1.0524[/C][C]0.148068[/C][/ROW]
[ROW][C]30[/C][C]0.159392[/C][C]1.3525[/C][C]0.090226[/C][/ROW]
[ROW][C]31[/C][C]0.06639[/C][C]0.5633[/C][C]0.287479[/C][/ROW]
[ROW][C]32[/C][C]-0.228322[/C][C]-1.9374[/C][C]0.028311[/C][/ROW]
[ROW][C]33[/C][C]-0.187776[/C][C]-1.5933[/C][C]0.057733[/C][/ROW]
[ROW][C]34[/C][C]-0.020796[/C][C]-0.1765[/C][C]0.430213[/C][/ROW]
[ROW][C]35[/C][C]0.08001[/C][C]0.6789[/C][C]0.249687[/C][/ROW]
[ROW][C]36[/C][C]0.299196[/C][C]2.5388[/C][C]0.006643[/C][/ROW]
[ROW][C]37[/C][C]0.048477[/C][C]0.4113[/C][C]0.341022[/C][/ROW]
[ROW][C]38[/C][C]-0.203772[/C][C]-1.7291[/C][C]0.044042[/C][/ROW]
[ROW][C]39[/C][C]-0.226279[/C][C]-1.92[/C][C]0.029407[/C][/ROW]
[ROW][C]40[/C][C]-0.072892[/C][C]-0.6185[/C][C]0.269095[/C][/ROW]
[ROW][C]41[/C][C]0.074819[/C][C]0.6349[/C][C]0.263767[/C][/ROW]
[ROW][C]42[/C][C]0.111558[/C][C]0.9466[/C][C]0.173503[/C][/ROW]
[ROW][C]43[/C][C]0.034264[/C][C]0.2907[/C][C]0.386042[/C][/ROW]
[ROW][C]44[/C][C]-0.21402[/C][C]-1.816[/C][C]0.036765[/C][/ROW]
[ROW][C]45[/C][C]-0.105944[/C][C]-0.899[/C][C]0.185834[/C][/ROW]
[ROW][C]46[/C][C]-0.008822[/C][C]-0.0749[/C][C]0.470267[/C][/ROW]
[ROW][C]47[/C][C]0.010156[/C][C]0.0862[/C][C]0.465782[/C][/ROW]
[ROW][C]48[/C][C]0.221477[/C][C]1.8793[/C][C]0.032126[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41533&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41533&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
10.1691591.43540.077757
2-0.251057-2.13030.018283
3-0.251874-2.13720.017988
4-0.222127-1.88480.031746
50.217831.84840.034329
60.333262.82780.003033
70.1317061.11760.133734
8-0.194949-1.65420.05122
9-0.284041-2.41020.009251
10-0.209521-1.77780.039826
110.2174931.84550.034539
120.6311185.35520
130.0390550.33140.370655
14-0.207332-1.75930.04139
15-0.220831-1.87380.032507
16-0.16596-1.40820.081685
170.1717281.45720.07471
180.2015491.71020.045767
190.1007520.85490.197718
20-0.253554-2.15150.017397
21-0.286862-2.43410.008705
22-0.093114-0.79010.216032
230.1476971.25320.107085
240.4138153.51130.000387
250.0337230.28620.387792
26-0.224541-1.90530.030367
27-0.251893-2.13740.017982
28-0.125413-1.06420.145404
290.1240271.05240.148068
300.1593921.35250.090226
310.066390.56330.287479
32-0.228322-1.93740.028311
33-0.187776-1.59330.057733
34-0.020796-0.17650.430213
350.080010.67890.249687
360.2991962.53880.006643
370.0484770.41130.341022
38-0.203772-1.72910.044042
39-0.226279-1.920.029407
40-0.072892-0.61850.269095
410.0748190.63490.263767
420.1115580.94660.173503
430.0342640.29070.386042
44-0.21402-1.8160.036765
45-0.105944-0.8990.185834
46-0.008822-0.07490.470267
470.0101560.08620.465782
480.2214771.87930.032126







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1691591.43540.077757
2-0.28791-2.4430.00851
3-0.166665-1.41420.080806
4-0.24744-2.09960.019635
50.2188191.85670.03372
60.1414311.20010.117021
70.1182171.00310.159584
8-0.136598-1.15910.125129
9-0.054171-0.45970.323575
10-0.209255-1.77560.040014
110.1823581.54740.063081
120.4721464.00637.4e-05
13-0.129191-1.09620.138317
140.0663510.5630.28759
150.0078180.06630.473645
160.0205820.17460.430925
17-0.143777-1.220.113225
18-0.104535-0.8870.189013
190.0571910.48530.314476
20-0.221836-1.88230.031915
210.0019020.01610.493585
220.0209970.17820.429545
23-0.097186-0.82470.206147
240.0276380.23450.407626
250.0832780.70660.241036
26-0.082227-0.69770.243799
27-0.163685-1.38890.08457
280.0203650.17280.431646
29-0.05196-0.44090.330306
30-0.099788-0.84670.199976
31-0.019243-0.16330.435375
320.1118770.94930.172819
330.0313910.26640.39536
340.0222860.18910.425272
350.0042240.03580.485755
36-0.00592-0.05020.480039
370.0009210.00780.496892
38-0.041497-0.35210.36289
39-0.071882-0.60990.271913
40-0.031067-0.26360.396415
41-0.091576-0.7770.219838
42-0.001757-0.01490.494073
43-0.073072-0.620.268595
44-0.083534-0.70880.240367
450.0297070.25210.400853
46-0.05016-0.42560.335828
47-0.14867-1.26150.105598
48-0.063044-0.53490.297168

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.169159 & 1.4354 & 0.077757 \tabularnewline
2 & -0.28791 & -2.443 & 0.00851 \tabularnewline
3 & -0.166665 & -1.4142 & 0.080806 \tabularnewline
4 & -0.24744 & -2.0996 & 0.019635 \tabularnewline
5 & 0.218819 & 1.8567 & 0.03372 \tabularnewline
6 & 0.141431 & 1.2001 & 0.117021 \tabularnewline
7 & 0.118217 & 1.0031 & 0.159584 \tabularnewline
8 & -0.136598 & -1.1591 & 0.125129 \tabularnewline
9 & -0.054171 & -0.4597 & 0.323575 \tabularnewline
10 & -0.209255 & -1.7756 & 0.040014 \tabularnewline
11 & 0.182358 & 1.5474 & 0.063081 \tabularnewline
12 & 0.472146 & 4.0063 & 7.4e-05 \tabularnewline
13 & -0.129191 & -1.0962 & 0.138317 \tabularnewline
14 & 0.066351 & 0.563 & 0.28759 \tabularnewline
15 & 0.007818 & 0.0663 & 0.473645 \tabularnewline
16 & 0.020582 & 0.1746 & 0.430925 \tabularnewline
17 & -0.143777 & -1.22 & 0.113225 \tabularnewline
18 & -0.104535 & -0.887 & 0.189013 \tabularnewline
19 & 0.057191 & 0.4853 & 0.314476 \tabularnewline
20 & -0.221836 & -1.8823 & 0.031915 \tabularnewline
21 & 0.001902 & 0.0161 & 0.493585 \tabularnewline
22 & 0.020997 & 0.1782 & 0.429545 \tabularnewline
23 & -0.097186 & -0.8247 & 0.206147 \tabularnewline
24 & 0.027638 & 0.2345 & 0.407626 \tabularnewline
25 & 0.083278 & 0.7066 & 0.241036 \tabularnewline
26 & -0.082227 & -0.6977 & 0.243799 \tabularnewline
27 & -0.163685 & -1.3889 & 0.08457 \tabularnewline
28 & 0.020365 & 0.1728 & 0.431646 \tabularnewline
29 & -0.05196 & -0.4409 & 0.330306 \tabularnewline
30 & -0.099788 & -0.8467 & 0.199976 \tabularnewline
31 & -0.019243 & -0.1633 & 0.435375 \tabularnewline
32 & 0.111877 & 0.9493 & 0.172819 \tabularnewline
33 & 0.031391 & 0.2664 & 0.39536 \tabularnewline
34 & 0.022286 & 0.1891 & 0.425272 \tabularnewline
35 & 0.004224 & 0.0358 & 0.485755 \tabularnewline
36 & -0.00592 & -0.0502 & 0.480039 \tabularnewline
37 & 0.000921 & 0.0078 & 0.496892 \tabularnewline
38 & -0.041497 & -0.3521 & 0.36289 \tabularnewline
39 & -0.071882 & -0.6099 & 0.271913 \tabularnewline
40 & -0.031067 & -0.2636 & 0.396415 \tabularnewline
41 & -0.091576 & -0.777 & 0.219838 \tabularnewline
42 & -0.001757 & -0.0149 & 0.494073 \tabularnewline
43 & -0.073072 & -0.62 & 0.268595 \tabularnewline
44 & -0.083534 & -0.7088 & 0.240367 \tabularnewline
45 & 0.029707 & 0.2521 & 0.400853 \tabularnewline
46 & -0.05016 & -0.4256 & 0.335828 \tabularnewline
47 & -0.14867 & -1.2615 & 0.105598 \tabularnewline
48 & -0.063044 & -0.5349 & 0.297168 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41533&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]0.169159[/C][C]1.4354[/C][C]0.077757[/C][/ROW]
[ROW][C]2[/C][C]-0.28791[/C][C]-2.443[/C][C]0.00851[/C][/ROW]
[ROW][C]3[/C][C]-0.166665[/C][C]-1.4142[/C][C]0.080806[/C][/ROW]
[ROW][C]4[/C][C]-0.24744[/C][C]-2.0996[/C][C]0.019635[/C][/ROW]
[ROW][C]5[/C][C]0.218819[/C][C]1.8567[/C][C]0.03372[/C][/ROW]
[ROW][C]6[/C][C]0.141431[/C][C]1.2001[/C][C]0.117021[/C][/ROW]
[ROW][C]7[/C][C]0.118217[/C][C]1.0031[/C][C]0.159584[/C][/ROW]
[ROW][C]8[/C][C]-0.136598[/C][C]-1.1591[/C][C]0.125129[/C][/ROW]
[ROW][C]9[/C][C]-0.054171[/C][C]-0.4597[/C][C]0.323575[/C][/ROW]
[ROW][C]10[/C][C]-0.209255[/C][C]-1.7756[/C][C]0.040014[/C][/ROW]
[ROW][C]11[/C][C]0.182358[/C][C]1.5474[/C][C]0.063081[/C][/ROW]
[ROW][C]12[/C][C]0.472146[/C][C]4.0063[/C][C]7.4e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.129191[/C][C]-1.0962[/C][C]0.138317[/C][/ROW]
[ROW][C]14[/C][C]0.066351[/C][C]0.563[/C][C]0.28759[/C][/ROW]
[ROW][C]15[/C][C]0.007818[/C][C]0.0663[/C][C]0.473645[/C][/ROW]
[ROW][C]16[/C][C]0.020582[/C][C]0.1746[/C][C]0.430925[/C][/ROW]
[ROW][C]17[/C][C]-0.143777[/C][C]-1.22[/C][C]0.113225[/C][/ROW]
[ROW][C]18[/C][C]-0.104535[/C][C]-0.887[/C][C]0.189013[/C][/ROW]
[ROW][C]19[/C][C]0.057191[/C][C]0.4853[/C][C]0.314476[/C][/ROW]
[ROW][C]20[/C][C]-0.221836[/C][C]-1.8823[/C][C]0.031915[/C][/ROW]
[ROW][C]21[/C][C]0.001902[/C][C]0.0161[/C][C]0.493585[/C][/ROW]
[ROW][C]22[/C][C]0.020997[/C][C]0.1782[/C][C]0.429545[/C][/ROW]
[ROW][C]23[/C][C]-0.097186[/C][C]-0.8247[/C][C]0.206147[/C][/ROW]
[ROW][C]24[/C][C]0.027638[/C][C]0.2345[/C][C]0.407626[/C][/ROW]
[ROW][C]25[/C][C]0.083278[/C][C]0.7066[/C][C]0.241036[/C][/ROW]
[ROW][C]26[/C][C]-0.082227[/C][C]-0.6977[/C][C]0.243799[/C][/ROW]
[ROW][C]27[/C][C]-0.163685[/C][C]-1.3889[/C][C]0.08457[/C][/ROW]
[ROW][C]28[/C][C]0.020365[/C][C]0.1728[/C][C]0.431646[/C][/ROW]
[ROW][C]29[/C][C]-0.05196[/C][C]-0.4409[/C][C]0.330306[/C][/ROW]
[ROW][C]30[/C][C]-0.099788[/C][C]-0.8467[/C][C]0.199976[/C][/ROW]
[ROW][C]31[/C][C]-0.019243[/C][C]-0.1633[/C][C]0.435375[/C][/ROW]
[ROW][C]32[/C][C]0.111877[/C][C]0.9493[/C][C]0.172819[/C][/ROW]
[ROW][C]33[/C][C]0.031391[/C][C]0.2664[/C][C]0.39536[/C][/ROW]
[ROW][C]34[/C][C]0.022286[/C][C]0.1891[/C][C]0.425272[/C][/ROW]
[ROW][C]35[/C][C]0.004224[/C][C]0.0358[/C][C]0.485755[/C][/ROW]
[ROW][C]36[/C][C]-0.00592[/C][C]-0.0502[/C][C]0.480039[/C][/ROW]
[ROW][C]37[/C][C]0.000921[/C][C]0.0078[/C][C]0.496892[/C][/ROW]
[ROW][C]38[/C][C]-0.041497[/C][C]-0.3521[/C][C]0.36289[/C][/ROW]
[ROW][C]39[/C][C]-0.071882[/C][C]-0.6099[/C][C]0.271913[/C][/ROW]
[ROW][C]40[/C][C]-0.031067[/C][C]-0.2636[/C][C]0.396415[/C][/ROW]
[ROW][C]41[/C][C]-0.091576[/C][C]-0.777[/C][C]0.219838[/C][/ROW]
[ROW][C]42[/C][C]-0.001757[/C][C]-0.0149[/C][C]0.494073[/C][/ROW]
[ROW][C]43[/C][C]-0.073072[/C][C]-0.62[/C][C]0.268595[/C][/ROW]
[ROW][C]44[/C][C]-0.083534[/C][C]-0.7088[/C][C]0.240367[/C][/ROW]
[ROW][C]45[/C][C]0.029707[/C][C]0.2521[/C][C]0.400853[/C][/ROW]
[ROW][C]46[/C][C]-0.05016[/C][C]-0.4256[/C][C]0.335828[/C][/ROW]
[ROW][C]47[/C][C]-0.14867[/C][C]-1.2615[/C][C]0.105598[/C][/ROW]
[ROW][C]48[/C][C]-0.063044[/C][C]-0.5349[/C][C]0.297168[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41533&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41533&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
10.1691591.43540.077757
2-0.28791-2.4430.00851
3-0.166665-1.41420.080806
4-0.24744-2.09960.019635
50.2188191.85670.03372
60.1414311.20010.117021
70.1182171.00310.159584
8-0.136598-1.15910.125129
9-0.054171-0.45970.323575
10-0.209255-1.77560.040014
110.1823581.54740.063081
120.4721464.00637.4e-05
13-0.129191-1.09620.138317
140.0663510.5630.28759
150.0078180.06630.473645
160.0205820.17460.430925
17-0.143777-1.220.113225
18-0.104535-0.8870.189013
190.0571910.48530.314476
20-0.221836-1.88230.031915
210.0019020.01610.493585
220.0209970.17820.429545
23-0.097186-0.82470.206147
240.0276380.23450.407626
250.0832780.70660.241036
26-0.082227-0.69770.243799
27-0.163685-1.38890.08457
280.0203650.17280.431646
29-0.05196-0.44090.330306
30-0.099788-0.84670.199976
31-0.019243-0.16330.435375
320.1118770.94930.172819
330.0313910.26640.39536
340.0222860.18910.425272
350.0042240.03580.485755
36-0.00592-0.05020.480039
370.0009210.00780.496892
38-0.041497-0.35210.36289
39-0.071882-0.60990.271913
40-0.031067-0.26360.396415
41-0.091576-0.7770.219838
42-0.001757-0.01490.494073
43-0.073072-0.620.268595
44-0.083534-0.70880.240367
450.0297070.25210.400853
46-0.05016-0.42560.335828
47-0.14867-1.26150.105598
48-0.063044-0.53490.297168



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')