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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 16 May 2009 07:46:39 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/16/t1242481641844428r7872acjw.htm/, Retrieved Tue, 07 May 2024 13:59:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40177, Retrieved Tue, 07 May 2024 13:59:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [reeks bouwvergunn...] [2009-05-16 13:46:39] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1639
1296
1063
1282
1365
1268
1532
1455
1393
1515
1510
1225
1577
1417
1224
1693
1633
1639
1914
1586
1552
2081
1500
1437
1470
1849
1387
1592
1590
1798
1935
1887
2027
2080
1556
1682
1785
1869
1781
2082
2571
1862
1938
1505
1767
1607
1578
1495
1615
1700
1337
1531
1623
1543
1638
1520
1416
1820
1596
1358
1267
1742
1402
1388
1646
1670
1531
1730
1407
1795
1504
1371
1734




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=40177&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=40177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40177&T=0

As an alternative you can also use a QR Code:  

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

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







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.415932-3.52930.000365
2-0.122417-1.03870.1512
30.1465491.24350.108857
40.0212540.18030.428692
5-0.161828-1.37320.086983
60.0449950.38180.351869
7-0.089032-0.75550.226218
80.0542120.460.32345
90.1844661.56520.060955
10-0.150788-1.27950.102418
11-0.108065-0.9170.181111
120.3061082.59740.005691
13-0.122687-1.0410.150672
14-0.230141-1.95280.027365
150.3145262.66880.004699
16-0.218478-1.85380.033929
170.0703720.59710.276149
18-0.029641-0.25150.401066
190.052680.4470.328108
20-0.189498-1.60790.056112
210.2507572.12770.018391
22-0.079747-0.67670.25039
23-0.097191-0.82470.206135
240.1132370.96080.169923
250.104370.88560.189388
26-0.192719-1.63530.053179
270.091220.7740.220725
28-0.013996-0.11880.452897
29-0.063278-0.53690.296484
300.0391820.33250.370249
31-0.149281-1.26670.104675
320.092840.78780.216707
330.0589720.50040.309163
340.0711880.60410.273854
35-0.253006-2.14680.017588
360.2533092.14940.017482
370.0131220.11130.455826
38-0.227023-1.92640.029004
390.0205440.17430.431051
400.1564761.32770.094229
41-0.124772-1.05870.146631
420.0833960.70760.240728
43-0.030656-0.26010.397756
440.0033790.02870.488602
450.0237910.20190.420292
460.0386190.32770.372049
47-0.123817-1.05060.148473
480.1013610.86010.196301

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.415932 & -3.5293 & 0.000365 \tabularnewline
2 & -0.122417 & -1.0387 & 0.1512 \tabularnewline
3 & 0.146549 & 1.2435 & 0.108857 \tabularnewline
4 & 0.021254 & 0.1803 & 0.428692 \tabularnewline
5 & -0.161828 & -1.3732 & 0.086983 \tabularnewline
6 & 0.044995 & 0.3818 & 0.351869 \tabularnewline
7 & -0.089032 & -0.7555 & 0.226218 \tabularnewline
8 & 0.054212 & 0.46 & 0.32345 \tabularnewline
9 & 0.184466 & 1.5652 & 0.060955 \tabularnewline
10 & -0.150788 & -1.2795 & 0.102418 \tabularnewline
11 & -0.108065 & -0.917 & 0.181111 \tabularnewline
12 & 0.306108 & 2.5974 & 0.005691 \tabularnewline
13 & -0.122687 & -1.041 & 0.150672 \tabularnewline
14 & -0.230141 & -1.9528 & 0.027365 \tabularnewline
15 & 0.314526 & 2.6688 & 0.004699 \tabularnewline
16 & -0.218478 & -1.8538 & 0.033929 \tabularnewline
17 & 0.070372 & 0.5971 & 0.276149 \tabularnewline
18 & -0.029641 & -0.2515 & 0.401066 \tabularnewline
19 & 0.05268 & 0.447 & 0.328108 \tabularnewline
20 & -0.189498 & -1.6079 & 0.056112 \tabularnewline
21 & 0.250757 & 2.1277 & 0.018391 \tabularnewline
22 & -0.079747 & -0.6767 & 0.25039 \tabularnewline
23 & -0.097191 & -0.8247 & 0.206135 \tabularnewline
24 & 0.113237 & 0.9608 & 0.169923 \tabularnewline
25 & 0.10437 & 0.8856 & 0.189388 \tabularnewline
26 & -0.192719 & -1.6353 & 0.053179 \tabularnewline
27 & 0.09122 & 0.774 & 0.220725 \tabularnewline
28 & -0.013996 & -0.1188 & 0.452897 \tabularnewline
29 & -0.063278 & -0.5369 & 0.296484 \tabularnewline
30 & 0.039182 & 0.3325 & 0.370249 \tabularnewline
31 & -0.149281 & -1.2667 & 0.104675 \tabularnewline
32 & 0.09284 & 0.7878 & 0.216707 \tabularnewline
33 & 0.058972 & 0.5004 & 0.309163 \tabularnewline
34 & 0.071188 & 0.6041 & 0.273854 \tabularnewline
35 & -0.253006 & -2.1468 & 0.017588 \tabularnewline
36 & 0.253309 & 2.1494 & 0.017482 \tabularnewline
37 & 0.013122 & 0.1113 & 0.455826 \tabularnewline
38 & -0.227023 & -1.9264 & 0.029004 \tabularnewline
39 & 0.020544 & 0.1743 & 0.431051 \tabularnewline
40 & 0.156476 & 1.3277 & 0.094229 \tabularnewline
41 & -0.124772 & -1.0587 & 0.146631 \tabularnewline
42 & 0.083396 & 0.7076 & 0.240728 \tabularnewline
43 & -0.030656 & -0.2601 & 0.397756 \tabularnewline
44 & 0.003379 & 0.0287 & 0.488602 \tabularnewline
45 & 0.023791 & 0.2019 & 0.420292 \tabularnewline
46 & 0.038619 & 0.3277 & 0.372049 \tabularnewline
47 & -0.123817 & -1.0506 & 0.148473 \tabularnewline
48 & 0.101361 & 0.8601 & 0.196301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40177&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]-0.415932[/C][C]-3.5293[/C][C]0.000365[/C][/ROW]
[ROW][C]2[/C][C]-0.122417[/C][C]-1.0387[/C][C]0.1512[/C][/ROW]
[ROW][C]3[/C][C]0.146549[/C][C]1.2435[/C][C]0.108857[/C][/ROW]
[ROW][C]4[/C][C]0.021254[/C][C]0.1803[/C][C]0.428692[/C][/ROW]
[ROW][C]5[/C][C]-0.161828[/C][C]-1.3732[/C][C]0.086983[/C][/ROW]
[ROW][C]6[/C][C]0.044995[/C][C]0.3818[/C][C]0.351869[/C][/ROW]
[ROW][C]7[/C][C]-0.089032[/C][C]-0.7555[/C][C]0.226218[/C][/ROW]
[ROW][C]8[/C][C]0.054212[/C][C]0.46[/C][C]0.32345[/C][/ROW]
[ROW][C]9[/C][C]0.184466[/C][C]1.5652[/C][C]0.060955[/C][/ROW]
[ROW][C]10[/C][C]-0.150788[/C][C]-1.2795[/C][C]0.102418[/C][/ROW]
[ROW][C]11[/C][C]-0.108065[/C][C]-0.917[/C][C]0.181111[/C][/ROW]
[ROW][C]12[/C][C]0.306108[/C][C]2.5974[/C][C]0.005691[/C][/ROW]
[ROW][C]13[/C][C]-0.122687[/C][C]-1.041[/C][C]0.150672[/C][/ROW]
[ROW][C]14[/C][C]-0.230141[/C][C]-1.9528[/C][C]0.027365[/C][/ROW]
[ROW][C]15[/C][C]0.314526[/C][C]2.6688[/C][C]0.004699[/C][/ROW]
[ROW][C]16[/C][C]-0.218478[/C][C]-1.8538[/C][C]0.033929[/C][/ROW]
[ROW][C]17[/C][C]0.070372[/C][C]0.5971[/C][C]0.276149[/C][/ROW]
[ROW][C]18[/C][C]-0.029641[/C][C]-0.2515[/C][C]0.401066[/C][/ROW]
[ROW][C]19[/C][C]0.05268[/C][C]0.447[/C][C]0.328108[/C][/ROW]
[ROW][C]20[/C][C]-0.189498[/C][C]-1.6079[/C][C]0.056112[/C][/ROW]
[ROW][C]21[/C][C]0.250757[/C][C]2.1277[/C][C]0.018391[/C][/ROW]
[ROW][C]22[/C][C]-0.079747[/C][C]-0.6767[/C][C]0.25039[/C][/ROW]
[ROW][C]23[/C][C]-0.097191[/C][C]-0.8247[/C][C]0.206135[/C][/ROW]
[ROW][C]24[/C][C]0.113237[/C][C]0.9608[/C][C]0.169923[/C][/ROW]
[ROW][C]25[/C][C]0.10437[/C][C]0.8856[/C][C]0.189388[/C][/ROW]
[ROW][C]26[/C][C]-0.192719[/C][C]-1.6353[/C][C]0.053179[/C][/ROW]
[ROW][C]27[/C][C]0.09122[/C][C]0.774[/C][C]0.220725[/C][/ROW]
[ROW][C]28[/C][C]-0.013996[/C][C]-0.1188[/C][C]0.452897[/C][/ROW]
[ROW][C]29[/C][C]-0.063278[/C][C]-0.5369[/C][C]0.296484[/C][/ROW]
[ROW][C]30[/C][C]0.039182[/C][C]0.3325[/C][C]0.370249[/C][/ROW]
[ROW][C]31[/C][C]-0.149281[/C][C]-1.2667[/C][C]0.104675[/C][/ROW]
[ROW][C]32[/C][C]0.09284[/C][C]0.7878[/C][C]0.216707[/C][/ROW]
[ROW][C]33[/C][C]0.058972[/C][C]0.5004[/C][C]0.309163[/C][/ROW]
[ROW][C]34[/C][C]0.071188[/C][C]0.6041[/C][C]0.273854[/C][/ROW]
[ROW][C]35[/C][C]-0.253006[/C][C]-2.1468[/C][C]0.017588[/C][/ROW]
[ROW][C]36[/C][C]0.253309[/C][C]2.1494[/C][C]0.017482[/C][/ROW]
[ROW][C]37[/C][C]0.013122[/C][C]0.1113[/C][C]0.455826[/C][/ROW]
[ROW][C]38[/C][C]-0.227023[/C][C]-1.9264[/C][C]0.029004[/C][/ROW]
[ROW][C]39[/C][C]0.020544[/C][C]0.1743[/C][C]0.431051[/C][/ROW]
[ROW][C]40[/C][C]0.156476[/C][C]1.3277[/C][C]0.094229[/C][/ROW]
[ROW][C]41[/C][C]-0.124772[/C][C]-1.0587[/C][C]0.146631[/C][/ROW]
[ROW][C]42[/C][C]0.083396[/C][C]0.7076[/C][C]0.240728[/C][/ROW]
[ROW][C]43[/C][C]-0.030656[/C][C]-0.2601[/C][C]0.397756[/C][/ROW]
[ROW][C]44[/C][C]0.003379[/C][C]0.0287[/C][C]0.488602[/C][/ROW]
[ROW][C]45[/C][C]0.023791[/C][C]0.2019[/C][C]0.420292[/C][/ROW]
[ROW][C]46[/C][C]0.038619[/C][C]0.3277[/C][C]0.372049[/C][/ROW]
[ROW][C]47[/C][C]-0.123817[/C][C]-1.0506[/C][C]0.148473[/C][/ROW]
[ROW][C]48[/C][C]0.101361[/C][C]0.8601[/C][C]0.196301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40177&T=1

As an alternative you can also use a QR Code:  

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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.415932-3.52930.000365
2-0.122417-1.03870.1512
30.1465491.24350.108857
40.0212540.18030.428692
5-0.161828-1.37320.086983
60.0449950.38180.351869
7-0.089032-0.75550.226218
80.0542120.460.32345
90.1844661.56520.060955
10-0.150788-1.27950.102418
11-0.108065-0.9170.181111
120.3061082.59740.005691
13-0.122687-1.0410.150672
14-0.230141-1.95280.027365
150.3145262.66880.004699
16-0.218478-1.85380.033929
170.0703720.59710.276149
18-0.029641-0.25150.401066
190.052680.4470.328108
20-0.189498-1.60790.056112
210.2507572.12770.018391
22-0.079747-0.67670.25039
23-0.097191-0.82470.206135
240.1132370.96080.169923
250.104370.88560.189388
26-0.192719-1.63530.053179
270.091220.7740.220725
28-0.013996-0.11880.452897
29-0.063278-0.53690.296484
300.0391820.33250.370249
31-0.149281-1.26670.104675
320.092840.78780.216707
330.0589720.50040.309163
340.0711880.60410.273854
35-0.253006-2.14680.017588
360.2533092.14940.017482
370.0131220.11130.455826
38-0.227023-1.92640.029004
390.0205440.17430.431051
400.1564761.32770.094229
41-0.124772-1.05870.146631
420.0833960.70760.240728
43-0.030656-0.26010.397756
440.0033790.02870.488602
450.0237910.20190.420292
460.0386190.32770.372049
47-0.123817-1.05060.148473
480.1013610.86010.196301







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.415932-3.52930.000365
2-0.357214-3.03110.001692
3-0.098594-0.83660.202793
40.0246240.20890.417543
5-0.126237-1.07120.143838
6-0.115797-0.98260.164554
7-0.265228-2.25050.013735
8-0.165297-1.40260.082518
90.1668871.41610.080531
100.076030.64510.260445
11-0.158172-1.34210.091885
120.0960830.81530.208798
130.0768160.65180.2583
14-0.145679-1.23610.110214
150.1829531.55240.062475
16-0.126663-1.07480.143033
170.0261590.2220.412484
18-0.109091-0.92570.178856
190.0411960.34960.363844
20-0.234448-1.98940.025231
21-0.054291-0.46070.323209
220.0476450.40430.343603
23-0.031108-0.2640.396284
24-0.090534-0.76820.222438
250.1690871.43480.077844
260.0520830.44190.329928
27-0.045823-0.38880.349278
280.0759260.64430.260729
290.024120.20470.419205
30-0.122301-1.03780.151428
31-0.280097-2.37670.010064
32-0.056069-0.47580.317844
33-0.093548-0.79380.214965
34-0.055552-0.47140.319401
35-0.123439-1.04740.149206
36-0.073112-0.62040.268484
37-0.021509-0.18250.427848
38-0.169397-1.43740.077471
39-0.057223-0.48560.31438
40-0.040842-0.34660.364967
410.0052410.04450.482327
420.0622090.52790.299609
430.0773630.65640.256815
44-0.054948-0.46630.321221
45-0.124933-1.06010.146323
460.0019350.01640.493472
47-0.044044-0.37370.354854
480.0261540.22190.412502

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.415932 & -3.5293 & 0.000365 \tabularnewline
2 & -0.357214 & -3.0311 & 0.001692 \tabularnewline
3 & -0.098594 & -0.8366 & 0.202793 \tabularnewline
4 & 0.024624 & 0.2089 & 0.417543 \tabularnewline
5 & -0.126237 & -1.0712 & 0.143838 \tabularnewline
6 & -0.115797 & -0.9826 & 0.164554 \tabularnewline
7 & -0.265228 & -2.2505 & 0.013735 \tabularnewline
8 & -0.165297 & -1.4026 & 0.082518 \tabularnewline
9 & 0.166887 & 1.4161 & 0.080531 \tabularnewline
10 & 0.07603 & 0.6451 & 0.260445 \tabularnewline
11 & -0.158172 & -1.3421 & 0.091885 \tabularnewline
12 & 0.096083 & 0.8153 & 0.208798 \tabularnewline
13 & 0.076816 & 0.6518 & 0.2583 \tabularnewline
14 & -0.145679 & -1.2361 & 0.110214 \tabularnewline
15 & 0.182953 & 1.5524 & 0.062475 \tabularnewline
16 & -0.126663 & -1.0748 & 0.143033 \tabularnewline
17 & 0.026159 & 0.222 & 0.412484 \tabularnewline
18 & -0.109091 & -0.9257 & 0.178856 \tabularnewline
19 & 0.041196 & 0.3496 & 0.363844 \tabularnewline
20 & -0.234448 & -1.9894 & 0.025231 \tabularnewline
21 & -0.054291 & -0.4607 & 0.323209 \tabularnewline
22 & 0.047645 & 0.4043 & 0.343603 \tabularnewline
23 & -0.031108 & -0.264 & 0.396284 \tabularnewline
24 & -0.090534 & -0.7682 & 0.222438 \tabularnewline
25 & 0.169087 & 1.4348 & 0.077844 \tabularnewline
26 & 0.052083 & 0.4419 & 0.329928 \tabularnewline
27 & -0.045823 & -0.3888 & 0.349278 \tabularnewline
28 & 0.075926 & 0.6443 & 0.260729 \tabularnewline
29 & 0.02412 & 0.2047 & 0.419205 \tabularnewline
30 & -0.122301 & -1.0378 & 0.151428 \tabularnewline
31 & -0.280097 & -2.3767 & 0.010064 \tabularnewline
32 & -0.056069 & -0.4758 & 0.317844 \tabularnewline
33 & -0.093548 & -0.7938 & 0.214965 \tabularnewline
34 & -0.055552 & -0.4714 & 0.319401 \tabularnewline
35 & -0.123439 & -1.0474 & 0.149206 \tabularnewline
36 & -0.073112 & -0.6204 & 0.268484 \tabularnewline
37 & -0.021509 & -0.1825 & 0.427848 \tabularnewline
38 & -0.169397 & -1.4374 & 0.077471 \tabularnewline
39 & -0.057223 & -0.4856 & 0.31438 \tabularnewline
40 & -0.040842 & -0.3466 & 0.364967 \tabularnewline
41 & 0.005241 & 0.0445 & 0.482327 \tabularnewline
42 & 0.062209 & 0.5279 & 0.299609 \tabularnewline
43 & 0.077363 & 0.6564 & 0.256815 \tabularnewline
44 & -0.054948 & -0.4663 & 0.321221 \tabularnewline
45 & -0.124933 & -1.0601 & 0.146323 \tabularnewline
46 & 0.001935 & 0.0164 & 0.493472 \tabularnewline
47 & -0.044044 & -0.3737 & 0.354854 \tabularnewline
48 & 0.026154 & 0.2219 & 0.412502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40177&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]-0.415932[/C][C]-3.5293[/C][C]0.000365[/C][/ROW]
[ROW][C]2[/C][C]-0.357214[/C][C]-3.0311[/C][C]0.001692[/C][/ROW]
[ROW][C]3[/C][C]-0.098594[/C][C]-0.8366[/C][C]0.202793[/C][/ROW]
[ROW][C]4[/C][C]0.024624[/C][C]0.2089[/C][C]0.417543[/C][/ROW]
[ROW][C]5[/C][C]-0.126237[/C][C]-1.0712[/C][C]0.143838[/C][/ROW]
[ROW][C]6[/C][C]-0.115797[/C][C]-0.9826[/C][C]0.164554[/C][/ROW]
[ROW][C]7[/C][C]-0.265228[/C][C]-2.2505[/C][C]0.013735[/C][/ROW]
[ROW][C]8[/C][C]-0.165297[/C][C]-1.4026[/C][C]0.082518[/C][/ROW]
[ROW][C]9[/C][C]0.166887[/C][C]1.4161[/C][C]0.080531[/C][/ROW]
[ROW][C]10[/C][C]0.07603[/C][C]0.6451[/C][C]0.260445[/C][/ROW]
[ROW][C]11[/C][C]-0.158172[/C][C]-1.3421[/C][C]0.091885[/C][/ROW]
[ROW][C]12[/C][C]0.096083[/C][C]0.8153[/C][C]0.208798[/C][/ROW]
[ROW][C]13[/C][C]0.076816[/C][C]0.6518[/C][C]0.2583[/C][/ROW]
[ROW][C]14[/C][C]-0.145679[/C][C]-1.2361[/C][C]0.110214[/C][/ROW]
[ROW][C]15[/C][C]0.182953[/C][C]1.5524[/C][C]0.062475[/C][/ROW]
[ROW][C]16[/C][C]-0.126663[/C][C]-1.0748[/C][C]0.143033[/C][/ROW]
[ROW][C]17[/C][C]0.026159[/C][C]0.222[/C][C]0.412484[/C][/ROW]
[ROW][C]18[/C][C]-0.109091[/C][C]-0.9257[/C][C]0.178856[/C][/ROW]
[ROW][C]19[/C][C]0.041196[/C][C]0.3496[/C][C]0.363844[/C][/ROW]
[ROW][C]20[/C][C]-0.234448[/C][C]-1.9894[/C][C]0.025231[/C][/ROW]
[ROW][C]21[/C][C]-0.054291[/C][C]-0.4607[/C][C]0.323209[/C][/ROW]
[ROW][C]22[/C][C]0.047645[/C][C]0.4043[/C][C]0.343603[/C][/ROW]
[ROW][C]23[/C][C]-0.031108[/C][C]-0.264[/C][C]0.396284[/C][/ROW]
[ROW][C]24[/C][C]-0.090534[/C][C]-0.7682[/C][C]0.222438[/C][/ROW]
[ROW][C]25[/C][C]0.169087[/C][C]1.4348[/C][C]0.077844[/C][/ROW]
[ROW][C]26[/C][C]0.052083[/C][C]0.4419[/C][C]0.329928[/C][/ROW]
[ROW][C]27[/C][C]-0.045823[/C][C]-0.3888[/C][C]0.349278[/C][/ROW]
[ROW][C]28[/C][C]0.075926[/C][C]0.6443[/C][C]0.260729[/C][/ROW]
[ROW][C]29[/C][C]0.02412[/C][C]0.2047[/C][C]0.419205[/C][/ROW]
[ROW][C]30[/C][C]-0.122301[/C][C]-1.0378[/C][C]0.151428[/C][/ROW]
[ROW][C]31[/C][C]-0.280097[/C][C]-2.3767[/C][C]0.010064[/C][/ROW]
[ROW][C]32[/C][C]-0.056069[/C][C]-0.4758[/C][C]0.317844[/C][/ROW]
[ROW][C]33[/C][C]-0.093548[/C][C]-0.7938[/C][C]0.214965[/C][/ROW]
[ROW][C]34[/C][C]-0.055552[/C][C]-0.4714[/C][C]0.319401[/C][/ROW]
[ROW][C]35[/C][C]-0.123439[/C][C]-1.0474[/C][C]0.149206[/C][/ROW]
[ROW][C]36[/C][C]-0.073112[/C][C]-0.6204[/C][C]0.268484[/C][/ROW]
[ROW][C]37[/C][C]-0.021509[/C][C]-0.1825[/C][C]0.427848[/C][/ROW]
[ROW][C]38[/C][C]-0.169397[/C][C]-1.4374[/C][C]0.077471[/C][/ROW]
[ROW][C]39[/C][C]-0.057223[/C][C]-0.4856[/C][C]0.31438[/C][/ROW]
[ROW][C]40[/C][C]-0.040842[/C][C]-0.3466[/C][C]0.364967[/C][/ROW]
[ROW][C]41[/C][C]0.005241[/C][C]0.0445[/C][C]0.482327[/C][/ROW]
[ROW][C]42[/C][C]0.062209[/C][C]0.5279[/C][C]0.299609[/C][/ROW]
[ROW][C]43[/C][C]0.077363[/C][C]0.6564[/C][C]0.256815[/C][/ROW]
[ROW][C]44[/C][C]-0.054948[/C][C]-0.4663[/C][C]0.321221[/C][/ROW]
[ROW][C]45[/C][C]-0.124933[/C][C]-1.0601[/C][C]0.146323[/C][/ROW]
[ROW][C]46[/C][C]0.001935[/C][C]0.0164[/C][C]0.493472[/C][/ROW]
[ROW][C]47[/C][C]-0.044044[/C][C]-0.3737[/C][C]0.354854[/C][/ROW]
[ROW][C]48[/C][C]0.026154[/C][C]0.2219[/C][C]0.412502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40177&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40177&T=2

As an alternative you can also use a QR Code:  

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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.415932-3.52930.000365
2-0.357214-3.03110.001692
3-0.098594-0.83660.202793
40.0246240.20890.417543
5-0.126237-1.07120.143838
6-0.115797-0.98260.164554
7-0.265228-2.25050.013735
8-0.165297-1.40260.082518
90.1668871.41610.080531
100.076030.64510.260445
11-0.158172-1.34210.091885
120.0960830.81530.208798
130.0768160.65180.2583
14-0.145679-1.23610.110214
150.1829531.55240.062475
16-0.126663-1.07480.143033
170.0261590.2220.412484
18-0.109091-0.92570.178856
190.0411960.34960.363844
20-0.234448-1.98940.025231
21-0.054291-0.46070.323209
220.0476450.40430.343603
23-0.031108-0.2640.396284
24-0.090534-0.76820.222438
250.1690871.43480.077844
260.0520830.44190.329928
27-0.045823-0.38880.349278
280.0759260.64430.260729
290.024120.20470.419205
30-0.122301-1.03780.151428
31-0.280097-2.37670.010064
32-0.056069-0.47580.317844
33-0.093548-0.79380.214965
34-0.055552-0.47140.319401
35-0.123439-1.04740.149206
36-0.073112-0.62040.268484
37-0.021509-0.18250.427848
38-0.169397-1.43740.077471
39-0.057223-0.48560.31438
40-0.040842-0.34660.364967
410.0052410.04450.482327
420.0622090.52790.299609
430.0773630.65640.256815
44-0.054948-0.46630.321221
45-0.124933-1.06010.146323
460.0019350.01640.493472
47-0.044044-0.37370.354854
480.0261540.22190.412502



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')