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Author's title

Autocorrelation zonder trend - Verkoop vrouwenkeling 2000-2008 - Amelie Bar...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 07 May 2009 12:57:37 -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/07/t1241722713g62me3xn3vne55o.htm/, Retrieved Mon, 06 May 2024 12:26:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39627, Retrieved Mon, 06 May 2024 12:26:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation z...] [2009-05-07 18:57:37] [770bd392bad9be4bfacb32bbbd82a4eb] [Current]
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Dataseries X:
461683
731993
522673
572709
382812
942567
802385
272643
992660
672651
122826
493878
801948
742156
612673
662804
572750
202510
652313
492663
292397
382618
872790
913865
221989
842162
142783
112683
862759
392482
602262
542540
982375
112533
622742
883970
562056
322091
832619
82723
872811
562534
112447
342593
422622
682787
602944
84298
942258
722391
662901
3007
452988
12759
942577
52626
882755
22968
433067
904437
812315
32428
53073
403145
243133
313018
32720
922852
192947
693108
33335
944749
962536
292541
953227
193417
73378
433219
962953
632986
333186
733212
463421
495024
752596
22640
123421
243440
623653
413304
852981
613232
493203
253344
803665
574904
132570
132785
393406
333452
583642
893230
272991
373159
133072
653091
373307




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39627&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39627&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39627&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.561438-5.78040
20.0711670.73270.232677
3-0.064583-0.66490.253772
40.1309881.34860.090169
5-0.142317-1.46520.072907
60.0655710.67510.250542
70.0689220.70960.239758
8-0.115201-1.18610.119123
9-0.038123-0.39250.347739
100.1354391.39440.083051
110.0074020.07620.469697
12-0.11729-1.20760.114949
130.1302251.34070.091434
14-0.088174-0.90780.183021
150.0206640.21270.415968
16-0.026146-0.26920.394155
170.0188390.1940.423288
180.0097730.10060.460022
19-0.025387-0.26140.397153
200.093210.95970.169706
21-0.163732-1.68570.047395
220.0829130.85360.197614
230.0175340.18050.428544
240.0730060.75160.226966
25-0.121251-1.24840.107325
260.0153390.15790.43741
270.0731670.75330.226469
28-0.104896-1.080.141304
290.119271.2280.111091
30-0.132906-1.36830.087049
310.0889180.91550.181011
32-0.007872-0.0810.467779
33-0.069186-0.71230.238919
340.1058831.09010.139063
35-0.076376-0.78630.216713
360.0676940.6970.243678
37-0.043017-0.44290.329374
380.0373910.3850.350517
39-0.108136-1.11330.134042
400.0994151.02350.154192
41-0.05583-0.57480.28332
420.0545770.56190.287682
43-0.048807-0.50250.30818
440.0732930.75460.226083
45-0.118795-1.22310.112008
460.1140081.17380.121556
470.0008240.00850.496625
48-0.127534-1.3130.096002

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.561438 & -5.7804 & 0 \tabularnewline
2 & 0.071167 & 0.7327 & 0.232677 \tabularnewline
3 & -0.064583 & -0.6649 & 0.253772 \tabularnewline
4 & 0.130988 & 1.3486 & 0.090169 \tabularnewline
5 & -0.142317 & -1.4652 & 0.072907 \tabularnewline
6 & 0.065571 & 0.6751 & 0.250542 \tabularnewline
7 & 0.068922 & 0.7096 & 0.239758 \tabularnewline
8 & -0.115201 & -1.1861 & 0.119123 \tabularnewline
9 & -0.038123 & -0.3925 & 0.347739 \tabularnewline
10 & 0.135439 & 1.3944 & 0.083051 \tabularnewline
11 & 0.007402 & 0.0762 & 0.469697 \tabularnewline
12 & -0.11729 & -1.2076 & 0.114949 \tabularnewline
13 & 0.130225 & 1.3407 & 0.091434 \tabularnewline
14 & -0.088174 & -0.9078 & 0.183021 \tabularnewline
15 & 0.020664 & 0.2127 & 0.415968 \tabularnewline
16 & -0.026146 & -0.2692 & 0.394155 \tabularnewline
17 & 0.018839 & 0.194 & 0.423288 \tabularnewline
18 & 0.009773 & 0.1006 & 0.460022 \tabularnewline
19 & -0.025387 & -0.2614 & 0.397153 \tabularnewline
20 & 0.09321 & 0.9597 & 0.169706 \tabularnewline
21 & -0.163732 & -1.6857 & 0.047395 \tabularnewline
22 & 0.082913 & 0.8536 & 0.197614 \tabularnewline
23 & 0.017534 & 0.1805 & 0.428544 \tabularnewline
24 & 0.073006 & 0.7516 & 0.226966 \tabularnewline
25 & -0.121251 & -1.2484 & 0.107325 \tabularnewline
26 & 0.015339 & 0.1579 & 0.43741 \tabularnewline
27 & 0.073167 & 0.7533 & 0.226469 \tabularnewline
28 & -0.104896 & -1.08 & 0.141304 \tabularnewline
29 & 0.11927 & 1.228 & 0.111091 \tabularnewline
30 & -0.132906 & -1.3683 & 0.087049 \tabularnewline
31 & 0.088918 & 0.9155 & 0.181011 \tabularnewline
32 & -0.007872 & -0.081 & 0.467779 \tabularnewline
33 & -0.069186 & -0.7123 & 0.238919 \tabularnewline
34 & 0.105883 & 1.0901 & 0.139063 \tabularnewline
35 & -0.076376 & -0.7863 & 0.216713 \tabularnewline
36 & 0.067694 & 0.697 & 0.243678 \tabularnewline
37 & -0.043017 & -0.4429 & 0.329374 \tabularnewline
38 & 0.037391 & 0.385 & 0.350517 \tabularnewline
39 & -0.108136 & -1.1133 & 0.134042 \tabularnewline
40 & 0.099415 & 1.0235 & 0.154192 \tabularnewline
41 & -0.05583 & -0.5748 & 0.28332 \tabularnewline
42 & 0.054577 & 0.5619 & 0.287682 \tabularnewline
43 & -0.048807 & -0.5025 & 0.30818 \tabularnewline
44 & 0.073293 & 0.7546 & 0.226083 \tabularnewline
45 & -0.118795 & -1.2231 & 0.112008 \tabularnewline
46 & 0.114008 & 1.1738 & 0.121556 \tabularnewline
47 & 0.000824 & 0.0085 & 0.496625 \tabularnewline
48 & -0.127534 & -1.313 & 0.096002 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39627&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]-0.561438[/C][C]-5.7804[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.071167[/C][C]0.7327[/C][C]0.232677[/C][/ROW]
[ROW][C]3[/C][C]-0.064583[/C][C]-0.6649[/C][C]0.253772[/C][/ROW]
[ROW][C]4[/C][C]0.130988[/C][C]1.3486[/C][C]0.090169[/C][/ROW]
[ROW][C]5[/C][C]-0.142317[/C][C]-1.4652[/C][C]0.072907[/C][/ROW]
[ROW][C]6[/C][C]0.065571[/C][C]0.6751[/C][C]0.250542[/C][/ROW]
[ROW][C]7[/C][C]0.068922[/C][C]0.7096[/C][C]0.239758[/C][/ROW]
[ROW][C]8[/C][C]-0.115201[/C][C]-1.1861[/C][C]0.119123[/C][/ROW]
[ROW][C]9[/C][C]-0.038123[/C][C]-0.3925[/C][C]0.347739[/C][/ROW]
[ROW][C]10[/C][C]0.135439[/C][C]1.3944[/C][C]0.083051[/C][/ROW]
[ROW][C]11[/C][C]0.007402[/C][C]0.0762[/C][C]0.469697[/C][/ROW]
[ROW][C]12[/C][C]-0.11729[/C][C]-1.2076[/C][C]0.114949[/C][/ROW]
[ROW][C]13[/C][C]0.130225[/C][C]1.3407[/C][C]0.091434[/C][/ROW]
[ROW][C]14[/C][C]-0.088174[/C][C]-0.9078[/C][C]0.183021[/C][/ROW]
[ROW][C]15[/C][C]0.020664[/C][C]0.2127[/C][C]0.415968[/C][/ROW]
[ROW][C]16[/C][C]-0.026146[/C][C]-0.2692[/C][C]0.394155[/C][/ROW]
[ROW][C]17[/C][C]0.018839[/C][C]0.194[/C][C]0.423288[/C][/ROW]
[ROW][C]18[/C][C]0.009773[/C][C]0.1006[/C][C]0.460022[/C][/ROW]
[ROW][C]19[/C][C]-0.025387[/C][C]-0.2614[/C][C]0.397153[/C][/ROW]
[ROW][C]20[/C][C]0.09321[/C][C]0.9597[/C][C]0.169706[/C][/ROW]
[ROW][C]21[/C][C]-0.163732[/C][C]-1.6857[/C][C]0.047395[/C][/ROW]
[ROW][C]22[/C][C]0.082913[/C][C]0.8536[/C][C]0.197614[/C][/ROW]
[ROW][C]23[/C][C]0.017534[/C][C]0.1805[/C][C]0.428544[/C][/ROW]
[ROW][C]24[/C][C]0.073006[/C][C]0.7516[/C][C]0.226966[/C][/ROW]
[ROW][C]25[/C][C]-0.121251[/C][C]-1.2484[/C][C]0.107325[/C][/ROW]
[ROW][C]26[/C][C]0.015339[/C][C]0.1579[/C][C]0.43741[/C][/ROW]
[ROW][C]27[/C][C]0.073167[/C][C]0.7533[/C][C]0.226469[/C][/ROW]
[ROW][C]28[/C][C]-0.104896[/C][C]-1.08[/C][C]0.141304[/C][/ROW]
[ROW][C]29[/C][C]0.11927[/C][C]1.228[/C][C]0.111091[/C][/ROW]
[ROW][C]30[/C][C]-0.132906[/C][C]-1.3683[/C][C]0.087049[/C][/ROW]
[ROW][C]31[/C][C]0.088918[/C][C]0.9155[/C][C]0.181011[/C][/ROW]
[ROW][C]32[/C][C]-0.007872[/C][C]-0.081[/C][C]0.467779[/C][/ROW]
[ROW][C]33[/C][C]-0.069186[/C][C]-0.7123[/C][C]0.238919[/C][/ROW]
[ROW][C]34[/C][C]0.105883[/C][C]1.0901[/C][C]0.139063[/C][/ROW]
[ROW][C]35[/C][C]-0.076376[/C][C]-0.7863[/C][C]0.216713[/C][/ROW]
[ROW][C]36[/C][C]0.067694[/C][C]0.697[/C][C]0.243678[/C][/ROW]
[ROW][C]37[/C][C]-0.043017[/C][C]-0.4429[/C][C]0.329374[/C][/ROW]
[ROW][C]38[/C][C]0.037391[/C][C]0.385[/C][C]0.350517[/C][/ROW]
[ROW][C]39[/C][C]-0.108136[/C][C]-1.1133[/C][C]0.134042[/C][/ROW]
[ROW][C]40[/C][C]0.099415[/C][C]1.0235[/C][C]0.154192[/C][/ROW]
[ROW][C]41[/C][C]-0.05583[/C][C]-0.5748[/C][C]0.28332[/C][/ROW]
[ROW][C]42[/C][C]0.054577[/C][C]0.5619[/C][C]0.287682[/C][/ROW]
[ROW][C]43[/C][C]-0.048807[/C][C]-0.5025[/C][C]0.30818[/C][/ROW]
[ROW][C]44[/C][C]0.073293[/C][C]0.7546[/C][C]0.226083[/C][/ROW]
[ROW][C]45[/C][C]-0.118795[/C][C]-1.2231[/C][C]0.112008[/C][/ROW]
[ROW][C]46[/C][C]0.114008[/C][C]1.1738[/C][C]0.121556[/C][/ROW]
[ROW][C]47[/C][C]0.000824[/C][C]0.0085[/C][C]0.496625[/C][/ROW]
[ROW][C]48[/C][C]-0.127534[/C][C]-1.313[/C][C]0.096002[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39627&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39627&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
1-0.561438-5.78040
20.0711670.73270.232677
3-0.064583-0.66490.253772
40.1309881.34860.090169
5-0.142317-1.46520.072907
60.0655710.67510.250542
70.0689220.70960.239758
8-0.115201-1.18610.119123
9-0.038123-0.39250.347739
100.1354391.39440.083051
110.0074020.07620.469697
12-0.11729-1.20760.114949
130.1302251.34070.091434
14-0.088174-0.90780.183021
150.0206640.21270.415968
16-0.026146-0.26920.394155
170.0188390.1940.423288
180.0097730.10060.460022
19-0.025387-0.26140.397153
200.093210.95970.169706
21-0.163732-1.68570.047395
220.0829130.85360.197614
230.0175340.18050.428544
240.0730060.75160.226966
25-0.121251-1.24840.107325
260.0153390.15790.43741
270.0731670.75330.226469
28-0.104896-1.080.141304
290.119271.2280.111091
30-0.132906-1.36830.087049
310.0889180.91550.181011
32-0.007872-0.0810.467779
33-0.069186-0.71230.238919
340.1058831.09010.139063
35-0.076376-0.78630.216713
360.0676940.6970.243678
37-0.043017-0.44290.329374
380.0373910.3850.350517
39-0.108136-1.11330.134042
400.0994151.02350.154192
41-0.05583-0.57480.28332
420.0545770.56190.287682
43-0.048807-0.50250.30818
440.0732930.75460.226083
45-0.118795-1.22310.112008
460.1140081.17380.121556
470.0008240.00850.496625
48-0.127534-1.3130.096002







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.561438-5.78040
2-0.356382-3.66920.000191
3-0.352073-3.62480.000223
4-0.151841-1.56330.060482
5-0.2271-2.33810.010629
6-0.222484-2.29060.011982
7-0.039555-0.40720.342323
8-0.124964-1.28660.100522
9-0.294659-3.03370.001519
10-0.218796-2.25260.013171
11-0.084241-0.86730.193864
12-0.152799-1.57320.059331
130.0109330.11260.455295
14-0.011666-0.12010.452312
150.0228690.23540.407157
160.0309030.31820.375493
17-0.094089-0.96870.167447
18-0.055882-0.57530.283139
19-0.040815-0.42020.33759
200.1130021.16340.123635
21-0.06411-0.660.255327
22-0.151576-1.56060.060803
23-0.169066-1.74060.042324
24-0.019693-0.20280.419857
250.0004280.00440.498246
26-0.103969-1.07040.143429
270.0690870.71130.239233
280.0062680.06450.474332
290.1481761.52560.065049
30-0.06249-0.64340.260686
31-0.08641-0.88960.187835
320.1472221.51570.06628
33-0.078453-0.80770.210528
34-0.018167-0.1870.425995
35-0.126836-1.30590.097214
36-0.011098-0.11430.454624
370.031460.32390.373325
380.0417850.43020.333959
39-0.102714-1.05750.146342
40-0.01532-0.15770.437484
410.0421420.43390.33263
42-0.116347-1.19790.11682
43-0.058324-0.60050.274733
440.0505330.52030.301982
454.4e-055e-040.499818
460.0626710.64520.260082
470.0080210.08260.467171
48-0.140119-1.44260.076039

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.561438 & -5.7804 & 0 \tabularnewline
2 & -0.356382 & -3.6692 & 0.000191 \tabularnewline
3 & -0.352073 & -3.6248 & 0.000223 \tabularnewline
4 & -0.151841 & -1.5633 & 0.060482 \tabularnewline
5 & -0.2271 & -2.3381 & 0.010629 \tabularnewline
6 & -0.222484 & -2.2906 & 0.011982 \tabularnewline
7 & -0.039555 & -0.4072 & 0.342323 \tabularnewline
8 & -0.124964 & -1.2866 & 0.100522 \tabularnewline
9 & -0.294659 & -3.0337 & 0.001519 \tabularnewline
10 & -0.218796 & -2.2526 & 0.013171 \tabularnewline
11 & -0.084241 & -0.8673 & 0.193864 \tabularnewline
12 & -0.152799 & -1.5732 & 0.059331 \tabularnewline
13 & 0.010933 & 0.1126 & 0.455295 \tabularnewline
14 & -0.011666 & -0.1201 & 0.452312 \tabularnewline
15 & 0.022869 & 0.2354 & 0.407157 \tabularnewline
16 & 0.030903 & 0.3182 & 0.375493 \tabularnewline
17 & -0.094089 & -0.9687 & 0.167447 \tabularnewline
18 & -0.055882 & -0.5753 & 0.283139 \tabularnewline
19 & -0.040815 & -0.4202 & 0.33759 \tabularnewline
20 & 0.113002 & 1.1634 & 0.123635 \tabularnewline
21 & -0.06411 & -0.66 & 0.255327 \tabularnewline
22 & -0.151576 & -1.5606 & 0.060803 \tabularnewline
23 & -0.169066 & -1.7406 & 0.042324 \tabularnewline
24 & -0.019693 & -0.2028 & 0.419857 \tabularnewline
25 & 0.000428 & 0.0044 & 0.498246 \tabularnewline
26 & -0.103969 & -1.0704 & 0.143429 \tabularnewline
27 & 0.069087 & 0.7113 & 0.239233 \tabularnewline
28 & 0.006268 & 0.0645 & 0.474332 \tabularnewline
29 & 0.148176 & 1.5256 & 0.065049 \tabularnewline
30 & -0.06249 & -0.6434 & 0.260686 \tabularnewline
31 & -0.08641 & -0.8896 & 0.187835 \tabularnewline
32 & 0.147222 & 1.5157 & 0.06628 \tabularnewline
33 & -0.078453 & -0.8077 & 0.210528 \tabularnewline
34 & -0.018167 & -0.187 & 0.425995 \tabularnewline
35 & -0.126836 & -1.3059 & 0.097214 \tabularnewline
36 & -0.011098 & -0.1143 & 0.454624 \tabularnewline
37 & 0.03146 & 0.3239 & 0.373325 \tabularnewline
38 & 0.041785 & 0.4302 & 0.333959 \tabularnewline
39 & -0.102714 & -1.0575 & 0.146342 \tabularnewline
40 & -0.01532 & -0.1577 & 0.437484 \tabularnewline
41 & 0.042142 & 0.4339 & 0.33263 \tabularnewline
42 & -0.116347 & -1.1979 & 0.11682 \tabularnewline
43 & -0.058324 & -0.6005 & 0.274733 \tabularnewline
44 & 0.050533 & 0.5203 & 0.301982 \tabularnewline
45 & 4.4e-05 & 5e-04 & 0.499818 \tabularnewline
46 & 0.062671 & 0.6452 & 0.260082 \tabularnewline
47 & 0.008021 & 0.0826 & 0.467171 \tabularnewline
48 & -0.140119 & -1.4426 & 0.076039 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39627&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]-0.561438[/C][C]-5.7804[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.356382[/C][C]-3.6692[/C][C]0.000191[/C][/ROW]
[ROW][C]3[/C][C]-0.352073[/C][C]-3.6248[/C][C]0.000223[/C][/ROW]
[ROW][C]4[/C][C]-0.151841[/C][C]-1.5633[/C][C]0.060482[/C][/ROW]
[ROW][C]5[/C][C]-0.2271[/C][C]-2.3381[/C][C]0.010629[/C][/ROW]
[ROW][C]6[/C][C]-0.222484[/C][C]-2.2906[/C][C]0.011982[/C][/ROW]
[ROW][C]7[/C][C]-0.039555[/C][C]-0.4072[/C][C]0.342323[/C][/ROW]
[ROW][C]8[/C][C]-0.124964[/C][C]-1.2866[/C][C]0.100522[/C][/ROW]
[ROW][C]9[/C][C]-0.294659[/C][C]-3.0337[/C][C]0.001519[/C][/ROW]
[ROW][C]10[/C][C]-0.218796[/C][C]-2.2526[/C][C]0.013171[/C][/ROW]
[ROW][C]11[/C][C]-0.084241[/C][C]-0.8673[/C][C]0.193864[/C][/ROW]
[ROW][C]12[/C][C]-0.152799[/C][C]-1.5732[/C][C]0.059331[/C][/ROW]
[ROW][C]13[/C][C]0.010933[/C][C]0.1126[/C][C]0.455295[/C][/ROW]
[ROW][C]14[/C][C]-0.011666[/C][C]-0.1201[/C][C]0.452312[/C][/ROW]
[ROW][C]15[/C][C]0.022869[/C][C]0.2354[/C][C]0.407157[/C][/ROW]
[ROW][C]16[/C][C]0.030903[/C][C]0.3182[/C][C]0.375493[/C][/ROW]
[ROW][C]17[/C][C]-0.094089[/C][C]-0.9687[/C][C]0.167447[/C][/ROW]
[ROW][C]18[/C][C]-0.055882[/C][C]-0.5753[/C][C]0.283139[/C][/ROW]
[ROW][C]19[/C][C]-0.040815[/C][C]-0.4202[/C][C]0.33759[/C][/ROW]
[ROW][C]20[/C][C]0.113002[/C][C]1.1634[/C][C]0.123635[/C][/ROW]
[ROW][C]21[/C][C]-0.06411[/C][C]-0.66[/C][C]0.255327[/C][/ROW]
[ROW][C]22[/C][C]-0.151576[/C][C]-1.5606[/C][C]0.060803[/C][/ROW]
[ROW][C]23[/C][C]-0.169066[/C][C]-1.7406[/C][C]0.042324[/C][/ROW]
[ROW][C]24[/C][C]-0.019693[/C][C]-0.2028[/C][C]0.419857[/C][/ROW]
[ROW][C]25[/C][C]0.000428[/C][C]0.0044[/C][C]0.498246[/C][/ROW]
[ROW][C]26[/C][C]-0.103969[/C][C]-1.0704[/C][C]0.143429[/C][/ROW]
[ROW][C]27[/C][C]0.069087[/C][C]0.7113[/C][C]0.239233[/C][/ROW]
[ROW][C]28[/C][C]0.006268[/C][C]0.0645[/C][C]0.474332[/C][/ROW]
[ROW][C]29[/C][C]0.148176[/C][C]1.5256[/C][C]0.065049[/C][/ROW]
[ROW][C]30[/C][C]-0.06249[/C][C]-0.6434[/C][C]0.260686[/C][/ROW]
[ROW][C]31[/C][C]-0.08641[/C][C]-0.8896[/C][C]0.187835[/C][/ROW]
[ROW][C]32[/C][C]0.147222[/C][C]1.5157[/C][C]0.06628[/C][/ROW]
[ROW][C]33[/C][C]-0.078453[/C][C]-0.8077[/C][C]0.210528[/C][/ROW]
[ROW][C]34[/C][C]-0.018167[/C][C]-0.187[/C][C]0.425995[/C][/ROW]
[ROW][C]35[/C][C]-0.126836[/C][C]-1.3059[/C][C]0.097214[/C][/ROW]
[ROW][C]36[/C][C]-0.011098[/C][C]-0.1143[/C][C]0.454624[/C][/ROW]
[ROW][C]37[/C][C]0.03146[/C][C]0.3239[/C][C]0.373325[/C][/ROW]
[ROW][C]38[/C][C]0.041785[/C][C]0.4302[/C][C]0.333959[/C][/ROW]
[ROW][C]39[/C][C]-0.102714[/C][C]-1.0575[/C][C]0.146342[/C][/ROW]
[ROW][C]40[/C][C]-0.01532[/C][C]-0.1577[/C][C]0.437484[/C][/ROW]
[ROW][C]41[/C][C]0.042142[/C][C]0.4339[/C][C]0.33263[/C][/ROW]
[ROW][C]42[/C][C]-0.116347[/C][C]-1.1979[/C][C]0.11682[/C][/ROW]
[ROW][C]43[/C][C]-0.058324[/C][C]-0.6005[/C][C]0.274733[/C][/ROW]
[ROW][C]44[/C][C]0.050533[/C][C]0.5203[/C][C]0.301982[/C][/ROW]
[ROW][C]45[/C][C]4.4e-05[/C][C]5e-04[/C][C]0.499818[/C][/ROW]
[ROW][C]46[/C][C]0.062671[/C][C]0.6452[/C][C]0.260082[/C][/ROW]
[ROW][C]47[/C][C]0.008021[/C][C]0.0826[/C][C]0.467171[/C][/ROW]
[ROW][C]48[/C][C]-0.140119[/C][C]-1.4426[/C][C]0.076039[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39627&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39627&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
1-0.561438-5.78040
2-0.356382-3.66920.000191
3-0.352073-3.62480.000223
4-0.151841-1.56330.060482
5-0.2271-2.33810.010629
6-0.222484-2.29060.011982
7-0.039555-0.40720.342323
8-0.124964-1.28660.100522
9-0.294659-3.03370.001519
10-0.218796-2.25260.013171
11-0.084241-0.86730.193864
12-0.152799-1.57320.059331
130.0109330.11260.455295
14-0.011666-0.12010.452312
150.0228690.23540.407157
160.0309030.31820.375493
17-0.094089-0.96870.167447
18-0.055882-0.57530.283139
19-0.040815-0.42020.33759
200.1130021.16340.123635
21-0.06411-0.660.255327
22-0.151576-1.56060.060803
23-0.169066-1.74060.042324
24-0.019693-0.20280.419857
250.0004280.00440.498246
26-0.103969-1.07040.143429
270.0690870.71130.239233
280.0062680.06450.474332
290.1481761.52560.065049
30-0.06249-0.64340.260686
31-0.08641-0.88960.187835
320.1472221.51570.06628
33-0.078453-0.80770.210528
34-0.018167-0.1870.425995
35-0.126836-1.30590.097214
36-0.011098-0.11430.454624
370.031460.32390.373325
380.0417850.43020.333959
39-0.102714-1.05750.146342
40-0.01532-0.15770.437484
410.0421420.43390.33263
42-0.116347-1.19790.11682
43-0.058324-0.60050.274733
440.0505330.52030.301982
454.4e-055e-040.499818
460.0626710.64520.260082
470.0080210.08260.467171
48-0.140119-1.44260.076039



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')