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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 10 Dec 2008 07:14:47 -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/2008/Dec/10/t1228918520b4me60fack6ebew.htm/, Retrieved Thu, 16 May 2024 00:19:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31968, Retrieved Thu, 16 May 2024 00:19:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [test 3] [2007-10-13 09:57:27] [74be16979710d4c4e7c6647856088456]
- RMPD    [(Partial) Autocorrelation Function] [ACF L=0] [2008-12-10 14:14:47] [e1dd70d3b1099218056e8ae5041dcc2f] [Current]
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Dataseries X:
12.5
14.8
15.9
14.8
12.9
14.3
14.2
15.9
15.3
15.5
15.1
15
12.1
15.8
16.9
15.1
13.7
14.8
14.7
16
15.4
15
15.5
15.1
11.7
16.3
16.7
15
14.9
14.6
15.3
17.9
16.4
15.4
17.9
15.9
13.9
17.8
17.9
17.4
16.7
16
16.6
19.1
17.8
17.2
18.6
16.3
15.1
19.2
17.7
19.1
18
17.5
17.8
21.1
17.2
19.4
19.8
17.6
16.2
19.5
19.9
20
17.3
18.9
18.6
21.4
18.6
19.8
20.8
19.6
17.7
19.8
22.2
20.7
17.9
21.2
21.4
21.7
23.2
21.5
22.9
23.2
18.6




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=31968&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=31968&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31968&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
10.6879646.34270
20.5742285.29410
30.6372095.87480
40.6452735.94910
50.5741525.29340
60.6154745.67440
70.4894254.51231e-05
80.5448175.0231e-06
90.4775864.40311.5e-05
100.3635933.35220.000599
110.4428564.08295e-05
120.6296315.80490
130.3823943.52550.000342
140.3055142.81670.003016
150.3321533.06230.00147
160.3488693.21640.000918
170.321252.96180.001982
180.3254443.00040.001769
190.2329982.14810.017274
200.2865052.64140.004912
210.2112621.94770.027373
220.108260.99810.16053
230.1987161.83210.035222
240.2987232.75410.003598
250.1232221.1360.129564
260.071170.65620.256748
270.0518890.47840.316798
280.0722880.66650.253461
290.0561860.5180.3029
300.0218170.20110.420535
31-0.034631-0.31930.375149
320.0070170.06470.474286
33-0.079805-0.73580.231949
34-0.147172-1.35690.089209
35-0.075684-0.69780.243612
36-0.002507-0.02310.490806
37-0.119478-1.10150.136888
38-0.164544-1.5170.066486
39-0.181621-1.67450.048858
40-0.136853-1.26170.10525
41-0.17349-1.59950.05671
42-0.192755-1.77710.039563
43-0.22178-2.04470.021989
44-0.176526-1.62750.053667
45-0.251798-2.32150.011328
46-0.286659-2.64290.004893
47-0.256553-2.36530.010146
48-0.188508-1.7380.04292
49-0.268457-2.47510.007654
50-0.313432-2.88970.002446
51-0.327956-3.02360.001651
52-0.264135-2.43520.008487
53-0.312001-2.87650.002541
54-0.318699-2.93830.002124
55-0.330909-3.05080.001522
56-0.282771-2.6070.005392
57-0.318967-2.94070.002109
58-0.338094-3.11710.001246
59-0.314101-2.89590.002403
60-0.237166-2.18660.015761

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.687964 & 6.3427 & 0 \tabularnewline
2 & 0.574228 & 5.2941 & 0 \tabularnewline
3 & 0.637209 & 5.8748 & 0 \tabularnewline
4 & 0.645273 & 5.9491 & 0 \tabularnewline
5 & 0.574152 & 5.2934 & 0 \tabularnewline
6 & 0.615474 & 5.6744 & 0 \tabularnewline
7 & 0.489425 & 4.5123 & 1e-05 \tabularnewline
8 & 0.544817 & 5.023 & 1e-06 \tabularnewline
9 & 0.477586 & 4.4031 & 1.5e-05 \tabularnewline
10 & 0.363593 & 3.3522 & 0.000599 \tabularnewline
11 & 0.442856 & 4.0829 & 5e-05 \tabularnewline
12 & 0.629631 & 5.8049 & 0 \tabularnewline
13 & 0.382394 & 3.5255 & 0.000342 \tabularnewline
14 & 0.305514 & 2.8167 & 0.003016 \tabularnewline
15 & 0.332153 & 3.0623 & 0.00147 \tabularnewline
16 & 0.348869 & 3.2164 & 0.000918 \tabularnewline
17 & 0.32125 & 2.9618 & 0.001982 \tabularnewline
18 & 0.325444 & 3.0004 & 0.001769 \tabularnewline
19 & 0.232998 & 2.1481 & 0.017274 \tabularnewline
20 & 0.286505 & 2.6414 & 0.004912 \tabularnewline
21 & 0.211262 & 1.9477 & 0.027373 \tabularnewline
22 & 0.10826 & 0.9981 & 0.16053 \tabularnewline
23 & 0.198716 & 1.8321 & 0.035222 \tabularnewline
24 & 0.298723 & 2.7541 & 0.003598 \tabularnewline
25 & 0.123222 & 1.136 & 0.129564 \tabularnewline
26 & 0.07117 & 0.6562 & 0.256748 \tabularnewline
27 & 0.051889 & 0.4784 & 0.316798 \tabularnewline
28 & 0.072288 & 0.6665 & 0.253461 \tabularnewline
29 & 0.056186 & 0.518 & 0.3029 \tabularnewline
30 & 0.021817 & 0.2011 & 0.420535 \tabularnewline
31 & -0.034631 & -0.3193 & 0.375149 \tabularnewline
32 & 0.007017 & 0.0647 & 0.474286 \tabularnewline
33 & -0.079805 & -0.7358 & 0.231949 \tabularnewline
34 & -0.147172 & -1.3569 & 0.089209 \tabularnewline
35 & -0.075684 & -0.6978 & 0.243612 \tabularnewline
36 & -0.002507 & -0.0231 & 0.490806 \tabularnewline
37 & -0.119478 & -1.1015 & 0.136888 \tabularnewline
38 & -0.164544 & -1.517 & 0.066486 \tabularnewline
39 & -0.181621 & -1.6745 & 0.048858 \tabularnewline
40 & -0.136853 & -1.2617 & 0.10525 \tabularnewline
41 & -0.17349 & -1.5995 & 0.05671 \tabularnewline
42 & -0.192755 & -1.7771 & 0.039563 \tabularnewline
43 & -0.22178 & -2.0447 & 0.021989 \tabularnewline
44 & -0.176526 & -1.6275 & 0.053667 \tabularnewline
45 & -0.251798 & -2.3215 & 0.011328 \tabularnewline
46 & -0.286659 & -2.6429 & 0.004893 \tabularnewline
47 & -0.256553 & -2.3653 & 0.010146 \tabularnewline
48 & -0.188508 & -1.738 & 0.04292 \tabularnewline
49 & -0.268457 & -2.4751 & 0.007654 \tabularnewline
50 & -0.313432 & -2.8897 & 0.002446 \tabularnewline
51 & -0.327956 & -3.0236 & 0.001651 \tabularnewline
52 & -0.264135 & -2.4352 & 0.008487 \tabularnewline
53 & -0.312001 & -2.8765 & 0.002541 \tabularnewline
54 & -0.318699 & -2.9383 & 0.002124 \tabularnewline
55 & -0.330909 & -3.0508 & 0.001522 \tabularnewline
56 & -0.282771 & -2.607 & 0.005392 \tabularnewline
57 & -0.318967 & -2.9407 & 0.002109 \tabularnewline
58 & -0.338094 & -3.1171 & 0.001246 \tabularnewline
59 & -0.314101 & -2.8959 & 0.002403 \tabularnewline
60 & -0.237166 & -2.1866 & 0.015761 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31968&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]0.687964[/C][C]6.3427[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.574228[/C][C]5.2941[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.637209[/C][C]5.8748[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.645273[/C][C]5.9491[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.574152[/C][C]5.2934[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.615474[/C][C]5.6744[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.489425[/C][C]4.5123[/C][C]1e-05[/C][/ROW]
[ROW][C]8[/C][C]0.544817[/C][C]5.023[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.477586[/C][C]4.4031[/C][C]1.5e-05[/C][/ROW]
[ROW][C]10[/C][C]0.363593[/C][C]3.3522[/C][C]0.000599[/C][/ROW]
[ROW][C]11[/C][C]0.442856[/C][C]4.0829[/C][C]5e-05[/C][/ROW]
[ROW][C]12[/C][C]0.629631[/C][C]5.8049[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.382394[/C][C]3.5255[/C][C]0.000342[/C][/ROW]
[ROW][C]14[/C][C]0.305514[/C][C]2.8167[/C][C]0.003016[/C][/ROW]
[ROW][C]15[/C][C]0.332153[/C][C]3.0623[/C][C]0.00147[/C][/ROW]
[ROW][C]16[/C][C]0.348869[/C][C]3.2164[/C][C]0.000918[/C][/ROW]
[ROW][C]17[/C][C]0.32125[/C][C]2.9618[/C][C]0.001982[/C][/ROW]
[ROW][C]18[/C][C]0.325444[/C][C]3.0004[/C][C]0.001769[/C][/ROW]
[ROW][C]19[/C][C]0.232998[/C][C]2.1481[/C][C]0.017274[/C][/ROW]
[ROW][C]20[/C][C]0.286505[/C][C]2.6414[/C][C]0.004912[/C][/ROW]
[ROW][C]21[/C][C]0.211262[/C][C]1.9477[/C][C]0.027373[/C][/ROW]
[ROW][C]22[/C][C]0.10826[/C][C]0.9981[/C][C]0.16053[/C][/ROW]
[ROW][C]23[/C][C]0.198716[/C][C]1.8321[/C][C]0.035222[/C][/ROW]
[ROW][C]24[/C][C]0.298723[/C][C]2.7541[/C][C]0.003598[/C][/ROW]
[ROW][C]25[/C][C]0.123222[/C][C]1.136[/C][C]0.129564[/C][/ROW]
[ROW][C]26[/C][C]0.07117[/C][C]0.6562[/C][C]0.256748[/C][/ROW]
[ROW][C]27[/C][C]0.051889[/C][C]0.4784[/C][C]0.316798[/C][/ROW]
[ROW][C]28[/C][C]0.072288[/C][C]0.6665[/C][C]0.253461[/C][/ROW]
[ROW][C]29[/C][C]0.056186[/C][C]0.518[/C][C]0.3029[/C][/ROW]
[ROW][C]30[/C][C]0.021817[/C][C]0.2011[/C][C]0.420535[/C][/ROW]
[ROW][C]31[/C][C]-0.034631[/C][C]-0.3193[/C][C]0.375149[/C][/ROW]
[ROW][C]32[/C][C]0.007017[/C][C]0.0647[/C][C]0.474286[/C][/ROW]
[ROW][C]33[/C][C]-0.079805[/C][C]-0.7358[/C][C]0.231949[/C][/ROW]
[ROW][C]34[/C][C]-0.147172[/C][C]-1.3569[/C][C]0.089209[/C][/ROW]
[ROW][C]35[/C][C]-0.075684[/C][C]-0.6978[/C][C]0.243612[/C][/ROW]
[ROW][C]36[/C][C]-0.002507[/C][C]-0.0231[/C][C]0.490806[/C][/ROW]
[ROW][C]37[/C][C]-0.119478[/C][C]-1.1015[/C][C]0.136888[/C][/ROW]
[ROW][C]38[/C][C]-0.164544[/C][C]-1.517[/C][C]0.066486[/C][/ROW]
[ROW][C]39[/C][C]-0.181621[/C][C]-1.6745[/C][C]0.048858[/C][/ROW]
[ROW][C]40[/C][C]-0.136853[/C][C]-1.2617[/C][C]0.10525[/C][/ROW]
[ROW][C]41[/C][C]-0.17349[/C][C]-1.5995[/C][C]0.05671[/C][/ROW]
[ROW][C]42[/C][C]-0.192755[/C][C]-1.7771[/C][C]0.039563[/C][/ROW]
[ROW][C]43[/C][C]-0.22178[/C][C]-2.0447[/C][C]0.021989[/C][/ROW]
[ROW][C]44[/C][C]-0.176526[/C][C]-1.6275[/C][C]0.053667[/C][/ROW]
[ROW][C]45[/C][C]-0.251798[/C][C]-2.3215[/C][C]0.011328[/C][/ROW]
[ROW][C]46[/C][C]-0.286659[/C][C]-2.6429[/C][C]0.004893[/C][/ROW]
[ROW][C]47[/C][C]-0.256553[/C][C]-2.3653[/C][C]0.010146[/C][/ROW]
[ROW][C]48[/C][C]-0.188508[/C][C]-1.738[/C][C]0.04292[/C][/ROW]
[ROW][C]49[/C][C]-0.268457[/C][C]-2.4751[/C][C]0.007654[/C][/ROW]
[ROW][C]50[/C][C]-0.313432[/C][C]-2.8897[/C][C]0.002446[/C][/ROW]
[ROW][C]51[/C][C]-0.327956[/C][C]-3.0236[/C][C]0.001651[/C][/ROW]
[ROW][C]52[/C][C]-0.264135[/C][C]-2.4352[/C][C]0.008487[/C][/ROW]
[ROW][C]53[/C][C]-0.312001[/C][C]-2.8765[/C][C]0.002541[/C][/ROW]
[ROW][C]54[/C][C]-0.318699[/C][C]-2.9383[/C][C]0.002124[/C][/ROW]
[ROW][C]55[/C][C]-0.330909[/C][C]-3.0508[/C][C]0.001522[/C][/ROW]
[ROW][C]56[/C][C]-0.282771[/C][C]-2.607[/C][C]0.005392[/C][/ROW]
[ROW][C]57[/C][C]-0.318967[/C][C]-2.9407[/C][C]0.002109[/C][/ROW]
[ROW][C]58[/C][C]-0.338094[/C][C]-3.1171[/C][C]0.001246[/C][/ROW]
[ROW][C]59[/C][C]-0.314101[/C][C]-2.8959[/C][C]0.002403[/C][/ROW]
[ROW][C]60[/C][C]-0.237166[/C][C]-2.1866[/C][C]0.015761[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31968&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31968&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
10.6879646.34270
20.5742285.29410
30.6372095.87480
40.6452735.94910
50.5741525.29340
60.6154745.67440
70.4894254.51231e-05
80.5448175.0231e-06
90.4775864.40311.5e-05
100.3635933.35220.000599
110.4428564.08295e-05
120.6296315.80490
130.3823943.52550.000342
140.3055142.81670.003016
150.3321533.06230.00147
160.3488693.21640.000918
170.321252.96180.001982
180.3254443.00040.001769
190.2329982.14810.017274
200.2865052.64140.004912
210.2112621.94770.027373
220.108260.99810.16053
230.1987161.83210.035222
240.2987232.75410.003598
250.1232221.1360.129564
260.071170.65620.256748
270.0518890.47840.316798
280.0722880.66650.253461
290.0561860.5180.3029
300.0218170.20110.420535
31-0.034631-0.31930.375149
320.0070170.06470.474286
33-0.079805-0.73580.231949
34-0.147172-1.35690.089209
35-0.075684-0.69780.243612
36-0.002507-0.02310.490806
37-0.119478-1.10150.136888
38-0.164544-1.5170.066486
39-0.181621-1.67450.048858
40-0.136853-1.26170.10525
41-0.17349-1.59950.05671
42-0.192755-1.77710.039563
43-0.22178-2.04470.021989
44-0.176526-1.62750.053667
45-0.251798-2.32150.011328
46-0.286659-2.64290.004893
47-0.256553-2.36530.010146
48-0.188508-1.7380.04292
49-0.268457-2.47510.007654
50-0.313432-2.88970.002446
51-0.327956-3.02360.001651
52-0.264135-2.43520.008487
53-0.312001-2.87650.002541
54-0.318699-2.93830.002124
55-0.330909-3.05080.001522
56-0.282771-2.6070.005392
57-0.318967-2.94070.002109
58-0.338094-3.11710.001246
59-0.314101-2.89590.002403
60-0.237166-2.18660.015761







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6879646.34270
20.1916311.76680.04043
30.3666583.38040.000548
40.2060281.89950.030446
50.0494370.45580.324852
60.213831.97140.025965
7-0.244033-2.24990.01352
80.2458112.26630.012988
9-0.267977-2.47060.007743
10-0.144091-1.32850.093792
110.2631042.42570.008697
120.3683623.39610.000521
13-0.34747-3.20350.000956
14-0.127042-1.17130.122382
15-0.095824-0.88350.189741
160.0287170.26480.395918
170.0254690.23480.407459
18-0.008533-0.07870.46874
190.1013950.93480.176266
20-0.105571-0.97330.16658
21-0.022944-0.21150.416488
22-0.071319-0.65750.25631
230.0789930.72830.234222
24-0.093795-0.86470.194805
250.0197680.18230.427909
26-0.008662-0.07990.46827
27-0.140068-1.29140.100039
280.0178250.16430.434928
29-0.130315-1.20140.116458
300.0315150.29060.38605
31-0.024466-0.22560.411042
32-0.004189-0.03860.484642
33-0.002789-0.02570.489772
34-0.01223-0.11280.455247
35-0.039324-0.36250.358921
360.0759220.70.24293
37-0.055768-0.51420.304238
38-0.022019-0.2030.419809
390.0254520.23470.407519
40-0.016284-0.15010.440508
41-0.125224-1.15450.125764
420.0299530.27620.39155
43-0.040185-0.37050.35597
440.0500090.46110.322967
450.0003080.00280.498869
460.0056750.05230.479198
47-0.077244-0.71220.23916
48-0.051287-0.47280.318769
49-0.014438-0.13310.447209
50-0.024624-0.2270.410477
51-0.009417-0.08680.465509
520.0142560.13140.447871
530.0212070.19550.422728
54-0.061843-0.57020.285035
55-0.003613-0.03330.486752
560.00840.07740.469227
570.0749310.69080.245777
58-0.034232-0.31560.376539
590.0782980.72190.236178
60-0.040578-0.37410.354627

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.687964 & 6.3427 & 0 \tabularnewline
2 & 0.191631 & 1.7668 & 0.04043 \tabularnewline
3 & 0.366658 & 3.3804 & 0.000548 \tabularnewline
4 & 0.206028 & 1.8995 & 0.030446 \tabularnewline
5 & 0.049437 & 0.4558 & 0.324852 \tabularnewline
6 & 0.21383 & 1.9714 & 0.025965 \tabularnewline
7 & -0.244033 & -2.2499 & 0.01352 \tabularnewline
8 & 0.245811 & 2.2663 & 0.012988 \tabularnewline
9 & -0.267977 & -2.4706 & 0.007743 \tabularnewline
10 & -0.144091 & -1.3285 & 0.093792 \tabularnewline
11 & 0.263104 & 2.4257 & 0.008697 \tabularnewline
12 & 0.368362 & 3.3961 & 0.000521 \tabularnewline
13 & -0.34747 & -3.2035 & 0.000956 \tabularnewline
14 & -0.127042 & -1.1713 & 0.122382 \tabularnewline
15 & -0.095824 & -0.8835 & 0.189741 \tabularnewline
16 & 0.028717 & 0.2648 & 0.395918 \tabularnewline
17 & 0.025469 & 0.2348 & 0.407459 \tabularnewline
18 & -0.008533 & -0.0787 & 0.46874 \tabularnewline
19 & 0.101395 & 0.9348 & 0.176266 \tabularnewline
20 & -0.105571 & -0.9733 & 0.16658 \tabularnewline
21 & -0.022944 & -0.2115 & 0.416488 \tabularnewline
22 & -0.071319 & -0.6575 & 0.25631 \tabularnewline
23 & 0.078993 & 0.7283 & 0.234222 \tabularnewline
24 & -0.093795 & -0.8647 & 0.194805 \tabularnewline
25 & 0.019768 & 0.1823 & 0.427909 \tabularnewline
26 & -0.008662 & -0.0799 & 0.46827 \tabularnewline
27 & -0.140068 & -1.2914 & 0.100039 \tabularnewline
28 & 0.017825 & 0.1643 & 0.434928 \tabularnewline
29 & -0.130315 & -1.2014 & 0.116458 \tabularnewline
30 & 0.031515 & 0.2906 & 0.38605 \tabularnewline
31 & -0.024466 & -0.2256 & 0.411042 \tabularnewline
32 & -0.004189 & -0.0386 & 0.484642 \tabularnewline
33 & -0.002789 & -0.0257 & 0.489772 \tabularnewline
34 & -0.01223 & -0.1128 & 0.455247 \tabularnewline
35 & -0.039324 & -0.3625 & 0.358921 \tabularnewline
36 & 0.075922 & 0.7 & 0.24293 \tabularnewline
37 & -0.055768 & -0.5142 & 0.304238 \tabularnewline
38 & -0.022019 & -0.203 & 0.419809 \tabularnewline
39 & 0.025452 & 0.2347 & 0.407519 \tabularnewline
40 & -0.016284 & -0.1501 & 0.440508 \tabularnewline
41 & -0.125224 & -1.1545 & 0.125764 \tabularnewline
42 & 0.029953 & 0.2762 & 0.39155 \tabularnewline
43 & -0.040185 & -0.3705 & 0.35597 \tabularnewline
44 & 0.050009 & 0.4611 & 0.322967 \tabularnewline
45 & 0.000308 & 0.0028 & 0.498869 \tabularnewline
46 & 0.005675 & 0.0523 & 0.479198 \tabularnewline
47 & -0.077244 & -0.7122 & 0.23916 \tabularnewline
48 & -0.051287 & -0.4728 & 0.318769 \tabularnewline
49 & -0.014438 & -0.1331 & 0.447209 \tabularnewline
50 & -0.024624 & -0.227 & 0.410477 \tabularnewline
51 & -0.009417 & -0.0868 & 0.465509 \tabularnewline
52 & 0.014256 & 0.1314 & 0.447871 \tabularnewline
53 & 0.021207 & 0.1955 & 0.422728 \tabularnewline
54 & -0.061843 & -0.5702 & 0.285035 \tabularnewline
55 & -0.003613 & -0.0333 & 0.486752 \tabularnewline
56 & 0.0084 & 0.0774 & 0.469227 \tabularnewline
57 & 0.074931 & 0.6908 & 0.245777 \tabularnewline
58 & -0.034232 & -0.3156 & 0.376539 \tabularnewline
59 & 0.078298 & 0.7219 & 0.236178 \tabularnewline
60 & -0.040578 & -0.3741 & 0.354627 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31968&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]0.687964[/C][C]6.3427[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.191631[/C][C]1.7668[/C][C]0.04043[/C][/ROW]
[ROW][C]3[/C][C]0.366658[/C][C]3.3804[/C][C]0.000548[/C][/ROW]
[ROW][C]4[/C][C]0.206028[/C][C]1.8995[/C][C]0.030446[/C][/ROW]
[ROW][C]5[/C][C]0.049437[/C][C]0.4558[/C][C]0.324852[/C][/ROW]
[ROW][C]6[/C][C]0.21383[/C][C]1.9714[/C][C]0.025965[/C][/ROW]
[ROW][C]7[/C][C]-0.244033[/C][C]-2.2499[/C][C]0.01352[/C][/ROW]
[ROW][C]8[/C][C]0.245811[/C][C]2.2663[/C][C]0.012988[/C][/ROW]
[ROW][C]9[/C][C]-0.267977[/C][C]-2.4706[/C][C]0.007743[/C][/ROW]
[ROW][C]10[/C][C]-0.144091[/C][C]-1.3285[/C][C]0.093792[/C][/ROW]
[ROW][C]11[/C][C]0.263104[/C][C]2.4257[/C][C]0.008697[/C][/ROW]
[ROW][C]12[/C][C]0.368362[/C][C]3.3961[/C][C]0.000521[/C][/ROW]
[ROW][C]13[/C][C]-0.34747[/C][C]-3.2035[/C][C]0.000956[/C][/ROW]
[ROW][C]14[/C][C]-0.127042[/C][C]-1.1713[/C][C]0.122382[/C][/ROW]
[ROW][C]15[/C][C]-0.095824[/C][C]-0.8835[/C][C]0.189741[/C][/ROW]
[ROW][C]16[/C][C]0.028717[/C][C]0.2648[/C][C]0.395918[/C][/ROW]
[ROW][C]17[/C][C]0.025469[/C][C]0.2348[/C][C]0.407459[/C][/ROW]
[ROW][C]18[/C][C]-0.008533[/C][C]-0.0787[/C][C]0.46874[/C][/ROW]
[ROW][C]19[/C][C]0.101395[/C][C]0.9348[/C][C]0.176266[/C][/ROW]
[ROW][C]20[/C][C]-0.105571[/C][C]-0.9733[/C][C]0.16658[/C][/ROW]
[ROW][C]21[/C][C]-0.022944[/C][C]-0.2115[/C][C]0.416488[/C][/ROW]
[ROW][C]22[/C][C]-0.071319[/C][C]-0.6575[/C][C]0.25631[/C][/ROW]
[ROW][C]23[/C][C]0.078993[/C][C]0.7283[/C][C]0.234222[/C][/ROW]
[ROW][C]24[/C][C]-0.093795[/C][C]-0.8647[/C][C]0.194805[/C][/ROW]
[ROW][C]25[/C][C]0.019768[/C][C]0.1823[/C][C]0.427909[/C][/ROW]
[ROW][C]26[/C][C]-0.008662[/C][C]-0.0799[/C][C]0.46827[/C][/ROW]
[ROW][C]27[/C][C]-0.140068[/C][C]-1.2914[/C][C]0.100039[/C][/ROW]
[ROW][C]28[/C][C]0.017825[/C][C]0.1643[/C][C]0.434928[/C][/ROW]
[ROW][C]29[/C][C]-0.130315[/C][C]-1.2014[/C][C]0.116458[/C][/ROW]
[ROW][C]30[/C][C]0.031515[/C][C]0.2906[/C][C]0.38605[/C][/ROW]
[ROW][C]31[/C][C]-0.024466[/C][C]-0.2256[/C][C]0.411042[/C][/ROW]
[ROW][C]32[/C][C]-0.004189[/C][C]-0.0386[/C][C]0.484642[/C][/ROW]
[ROW][C]33[/C][C]-0.002789[/C][C]-0.0257[/C][C]0.489772[/C][/ROW]
[ROW][C]34[/C][C]-0.01223[/C][C]-0.1128[/C][C]0.455247[/C][/ROW]
[ROW][C]35[/C][C]-0.039324[/C][C]-0.3625[/C][C]0.358921[/C][/ROW]
[ROW][C]36[/C][C]0.075922[/C][C]0.7[/C][C]0.24293[/C][/ROW]
[ROW][C]37[/C][C]-0.055768[/C][C]-0.5142[/C][C]0.304238[/C][/ROW]
[ROW][C]38[/C][C]-0.022019[/C][C]-0.203[/C][C]0.419809[/C][/ROW]
[ROW][C]39[/C][C]0.025452[/C][C]0.2347[/C][C]0.407519[/C][/ROW]
[ROW][C]40[/C][C]-0.016284[/C][C]-0.1501[/C][C]0.440508[/C][/ROW]
[ROW][C]41[/C][C]-0.125224[/C][C]-1.1545[/C][C]0.125764[/C][/ROW]
[ROW][C]42[/C][C]0.029953[/C][C]0.2762[/C][C]0.39155[/C][/ROW]
[ROW][C]43[/C][C]-0.040185[/C][C]-0.3705[/C][C]0.35597[/C][/ROW]
[ROW][C]44[/C][C]0.050009[/C][C]0.4611[/C][C]0.322967[/C][/ROW]
[ROW][C]45[/C][C]0.000308[/C][C]0.0028[/C][C]0.498869[/C][/ROW]
[ROW][C]46[/C][C]0.005675[/C][C]0.0523[/C][C]0.479198[/C][/ROW]
[ROW][C]47[/C][C]-0.077244[/C][C]-0.7122[/C][C]0.23916[/C][/ROW]
[ROW][C]48[/C][C]-0.051287[/C][C]-0.4728[/C][C]0.318769[/C][/ROW]
[ROW][C]49[/C][C]-0.014438[/C][C]-0.1331[/C][C]0.447209[/C][/ROW]
[ROW][C]50[/C][C]-0.024624[/C][C]-0.227[/C][C]0.410477[/C][/ROW]
[ROW][C]51[/C][C]-0.009417[/C][C]-0.0868[/C][C]0.465509[/C][/ROW]
[ROW][C]52[/C][C]0.014256[/C][C]0.1314[/C][C]0.447871[/C][/ROW]
[ROW][C]53[/C][C]0.021207[/C][C]0.1955[/C][C]0.422728[/C][/ROW]
[ROW][C]54[/C][C]-0.061843[/C][C]-0.5702[/C][C]0.285035[/C][/ROW]
[ROW][C]55[/C][C]-0.003613[/C][C]-0.0333[/C][C]0.486752[/C][/ROW]
[ROW][C]56[/C][C]0.0084[/C][C]0.0774[/C][C]0.469227[/C][/ROW]
[ROW][C]57[/C][C]0.074931[/C][C]0.6908[/C][C]0.245777[/C][/ROW]
[ROW][C]58[/C][C]-0.034232[/C][C]-0.3156[/C][C]0.376539[/C][/ROW]
[ROW][C]59[/C][C]0.078298[/C][C]0.7219[/C][C]0.236178[/C][/ROW]
[ROW][C]60[/C][C]-0.040578[/C][C]-0.3741[/C][C]0.354627[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31968&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31968&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
10.6879646.34270
20.1916311.76680.04043
30.3666583.38040.000548
40.2060281.89950.030446
50.0494370.45580.324852
60.213831.97140.025965
7-0.244033-2.24990.01352
80.2458112.26630.012988
9-0.267977-2.47060.007743
10-0.144091-1.32850.093792
110.2631042.42570.008697
120.3683623.39610.000521
13-0.34747-3.20350.000956
14-0.127042-1.17130.122382
15-0.095824-0.88350.189741
160.0287170.26480.395918
170.0254690.23480.407459
18-0.008533-0.07870.46874
190.1013950.93480.176266
20-0.105571-0.97330.16658
21-0.022944-0.21150.416488
22-0.071319-0.65750.25631
230.0789930.72830.234222
24-0.093795-0.86470.194805
250.0197680.18230.427909
26-0.008662-0.07990.46827
27-0.140068-1.29140.100039
280.0178250.16430.434928
29-0.130315-1.20140.116458
300.0315150.29060.38605
31-0.024466-0.22560.411042
32-0.004189-0.03860.484642
33-0.002789-0.02570.489772
34-0.01223-0.11280.455247
35-0.039324-0.36250.358921
360.0759220.70.24293
37-0.055768-0.51420.304238
38-0.022019-0.2030.419809
390.0254520.23470.407519
40-0.016284-0.15010.440508
41-0.125224-1.15450.125764
420.0299530.27620.39155
43-0.040185-0.37050.35597
440.0500090.46110.322967
450.0003080.00280.498869
460.0056750.05230.479198
47-0.077244-0.71220.23916
48-0.051287-0.47280.318769
49-0.014438-0.13310.447209
50-0.024624-0.2270.410477
51-0.009417-0.08680.465509
520.0142560.13140.447871
530.0212070.19550.422728
54-0.061843-0.57020.285035
55-0.003613-0.03330.486752
560.00840.07740.469227
570.0749310.69080.245777
58-0.034232-0.31560.376539
590.0782980.72190.236178
60-0.040578-0.37410.354627



Parameters (Session):
par1 = 60 ; par2 = 0.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.0 ; par3 = 0 ; 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')