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Author's title

Autocorrelation met trend - Verkoopcijfers vrouwenkleding 2000-2008 - Ameli...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 07 May 2009 12:54:47 -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/t1241722559d1ye8ls1g1rk2sz.htm/, Retrieved Mon, 06 May 2024 17:50:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39625, Retrieved Mon, 06 May 2024 17:50:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation m...] [2009-05-07 18:54:47] [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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39625&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39625&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39625&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.183224-1.89530.030377
2-0.034102-0.35280.362483
3-0.060997-0.6310.264706
40.0681810.70530.241088
5-0.11445-1.18390.119542
60.0498170.51530.303698
70.0543690.56240.28751
8-0.109402-1.13170.130153
90.0027460.02840.488695
100.2003082.0720.020334
110.0754880.78090.218307
12-0.059541-0.61590.269634
130.0869950.89990.1851
14-0.081973-0.84790.199184
15-0.039772-0.41140.340801
16-0.044654-0.46190.322543
170.0151440.15670.437907
180.0231610.23960.405559
190.0125810.13010.44835
200.0563570.5830.280573
21-0.122654-1.26870.103644
220.0844820.87390.192069
230.1071041.10790.135197
240.084970.87890.190703
25-0.112856-1.16740.122823
26-0.018017-0.18640.426253
270.0325760.3370.368402
28-0.085944-0.8890.187996
290.0508410.52590.30002
30-0.103233-1.06780.143997
310.0529560.54780.292491
320.0002120.00220.499127
33-0.022161-0.22920.409563
340.1069791.10660.135475
35-0.00339-0.03510.486047
360.0676150.69940.242906
37-0.034822-0.36020.359703
38-0.027685-0.28640.387573
39-0.113691-1.1760.121096
400.0628710.65030.258433
41-0.004487-0.04640.481533
420.0626710.64830.259097
43-0.001874-0.01940.492283
440.0519990.53790.295888
45-0.071808-0.74280.22962
460.085960.88920.187952
47-0.015817-0.16360.435174
48-0.120244-1.24380.108143

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.183224 & -1.8953 & 0.030377 \tabularnewline
2 & -0.034102 & -0.3528 & 0.362483 \tabularnewline
3 & -0.060997 & -0.631 & 0.264706 \tabularnewline
4 & 0.068181 & 0.7053 & 0.241088 \tabularnewline
5 & -0.11445 & -1.1839 & 0.119542 \tabularnewline
6 & 0.049817 & 0.5153 & 0.303698 \tabularnewline
7 & 0.054369 & 0.5624 & 0.28751 \tabularnewline
8 & -0.109402 & -1.1317 & 0.130153 \tabularnewline
9 & 0.002746 & 0.0284 & 0.488695 \tabularnewline
10 & 0.200308 & 2.072 & 0.020334 \tabularnewline
11 & 0.075488 & 0.7809 & 0.218307 \tabularnewline
12 & -0.059541 & -0.6159 & 0.269634 \tabularnewline
13 & 0.086995 & 0.8999 & 0.1851 \tabularnewline
14 & -0.081973 & -0.8479 & 0.199184 \tabularnewline
15 & -0.039772 & -0.4114 & 0.340801 \tabularnewline
16 & -0.044654 & -0.4619 & 0.322543 \tabularnewline
17 & 0.015144 & 0.1567 & 0.437907 \tabularnewline
18 & 0.023161 & 0.2396 & 0.405559 \tabularnewline
19 & 0.012581 & 0.1301 & 0.44835 \tabularnewline
20 & 0.056357 & 0.583 & 0.280573 \tabularnewline
21 & -0.122654 & -1.2687 & 0.103644 \tabularnewline
22 & 0.084482 & 0.8739 & 0.192069 \tabularnewline
23 & 0.107104 & 1.1079 & 0.135197 \tabularnewline
24 & 0.08497 & 0.8789 & 0.190703 \tabularnewline
25 & -0.112856 & -1.1674 & 0.122823 \tabularnewline
26 & -0.018017 & -0.1864 & 0.426253 \tabularnewline
27 & 0.032576 & 0.337 & 0.368402 \tabularnewline
28 & -0.085944 & -0.889 & 0.187996 \tabularnewline
29 & 0.050841 & 0.5259 & 0.30002 \tabularnewline
30 & -0.103233 & -1.0678 & 0.143997 \tabularnewline
31 & 0.052956 & 0.5478 & 0.292491 \tabularnewline
32 & 0.000212 & 0.0022 & 0.499127 \tabularnewline
33 & -0.022161 & -0.2292 & 0.409563 \tabularnewline
34 & 0.106979 & 1.1066 & 0.135475 \tabularnewline
35 & -0.00339 & -0.0351 & 0.486047 \tabularnewline
36 & 0.067615 & 0.6994 & 0.242906 \tabularnewline
37 & -0.034822 & -0.3602 & 0.359703 \tabularnewline
38 & -0.027685 & -0.2864 & 0.387573 \tabularnewline
39 & -0.113691 & -1.176 & 0.121096 \tabularnewline
40 & 0.062871 & 0.6503 & 0.258433 \tabularnewline
41 & -0.004487 & -0.0464 & 0.481533 \tabularnewline
42 & 0.062671 & 0.6483 & 0.259097 \tabularnewline
43 & -0.001874 & -0.0194 & 0.492283 \tabularnewline
44 & 0.051999 & 0.5379 & 0.295888 \tabularnewline
45 & -0.071808 & -0.7428 & 0.22962 \tabularnewline
46 & 0.08596 & 0.8892 & 0.187952 \tabularnewline
47 & -0.015817 & -0.1636 & 0.435174 \tabularnewline
48 & -0.120244 & -1.2438 & 0.108143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39625&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]-0.183224[/C][C]-1.8953[/C][C]0.030377[/C][/ROW]
[ROW][C]2[/C][C]-0.034102[/C][C]-0.3528[/C][C]0.362483[/C][/ROW]
[ROW][C]3[/C][C]-0.060997[/C][C]-0.631[/C][C]0.264706[/C][/ROW]
[ROW][C]4[/C][C]0.068181[/C][C]0.7053[/C][C]0.241088[/C][/ROW]
[ROW][C]5[/C][C]-0.11445[/C][C]-1.1839[/C][C]0.119542[/C][/ROW]
[ROW][C]6[/C][C]0.049817[/C][C]0.5153[/C][C]0.303698[/C][/ROW]
[ROW][C]7[/C][C]0.054369[/C][C]0.5624[/C][C]0.28751[/C][/ROW]
[ROW][C]8[/C][C]-0.109402[/C][C]-1.1317[/C][C]0.130153[/C][/ROW]
[ROW][C]9[/C][C]0.002746[/C][C]0.0284[/C][C]0.488695[/C][/ROW]
[ROW][C]10[/C][C]0.200308[/C][C]2.072[/C][C]0.020334[/C][/ROW]
[ROW][C]11[/C][C]0.075488[/C][C]0.7809[/C][C]0.218307[/C][/ROW]
[ROW][C]12[/C][C]-0.059541[/C][C]-0.6159[/C][C]0.269634[/C][/ROW]
[ROW][C]13[/C][C]0.086995[/C][C]0.8999[/C][C]0.1851[/C][/ROW]
[ROW][C]14[/C][C]-0.081973[/C][C]-0.8479[/C][C]0.199184[/C][/ROW]
[ROW][C]15[/C][C]-0.039772[/C][C]-0.4114[/C][C]0.340801[/C][/ROW]
[ROW][C]16[/C][C]-0.044654[/C][C]-0.4619[/C][C]0.322543[/C][/ROW]
[ROW][C]17[/C][C]0.015144[/C][C]0.1567[/C][C]0.437907[/C][/ROW]
[ROW][C]18[/C][C]0.023161[/C][C]0.2396[/C][C]0.405559[/C][/ROW]
[ROW][C]19[/C][C]0.012581[/C][C]0.1301[/C][C]0.44835[/C][/ROW]
[ROW][C]20[/C][C]0.056357[/C][C]0.583[/C][C]0.280573[/C][/ROW]
[ROW][C]21[/C][C]-0.122654[/C][C]-1.2687[/C][C]0.103644[/C][/ROW]
[ROW][C]22[/C][C]0.084482[/C][C]0.8739[/C][C]0.192069[/C][/ROW]
[ROW][C]23[/C][C]0.107104[/C][C]1.1079[/C][C]0.135197[/C][/ROW]
[ROW][C]24[/C][C]0.08497[/C][C]0.8789[/C][C]0.190703[/C][/ROW]
[ROW][C]25[/C][C]-0.112856[/C][C]-1.1674[/C][C]0.122823[/C][/ROW]
[ROW][C]26[/C][C]-0.018017[/C][C]-0.1864[/C][C]0.426253[/C][/ROW]
[ROW][C]27[/C][C]0.032576[/C][C]0.337[/C][C]0.368402[/C][/ROW]
[ROW][C]28[/C][C]-0.085944[/C][C]-0.889[/C][C]0.187996[/C][/ROW]
[ROW][C]29[/C][C]0.050841[/C][C]0.5259[/C][C]0.30002[/C][/ROW]
[ROW][C]30[/C][C]-0.103233[/C][C]-1.0678[/C][C]0.143997[/C][/ROW]
[ROW][C]31[/C][C]0.052956[/C][C]0.5478[/C][C]0.292491[/C][/ROW]
[ROW][C]32[/C][C]0.000212[/C][C]0.0022[/C][C]0.499127[/C][/ROW]
[ROW][C]33[/C][C]-0.022161[/C][C]-0.2292[/C][C]0.409563[/C][/ROW]
[ROW][C]34[/C][C]0.106979[/C][C]1.1066[/C][C]0.135475[/C][/ROW]
[ROW][C]35[/C][C]-0.00339[/C][C]-0.0351[/C][C]0.486047[/C][/ROW]
[ROW][C]36[/C][C]0.067615[/C][C]0.6994[/C][C]0.242906[/C][/ROW]
[ROW][C]37[/C][C]-0.034822[/C][C]-0.3602[/C][C]0.359703[/C][/ROW]
[ROW][C]38[/C][C]-0.027685[/C][C]-0.2864[/C][C]0.387573[/C][/ROW]
[ROW][C]39[/C][C]-0.113691[/C][C]-1.176[/C][C]0.121096[/C][/ROW]
[ROW][C]40[/C][C]0.062871[/C][C]0.6503[/C][C]0.258433[/C][/ROW]
[ROW][C]41[/C][C]-0.004487[/C][C]-0.0464[/C][C]0.481533[/C][/ROW]
[ROW][C]42[/C][C]0.062671[/C][C]0.6483[/C][C]0.259097[/C][/ROW]
[ROW][C]43[/C][C]-0.001874[/C][C]-0.0194[/C][C]0.492283[/C][/ROW]
[ROW][C]44[/C][C]0.051999[/C][C]0.5379[/C][C]0.295888[/C][/ROW]
[ROW][C]45[/C][C]-0.071808[/C][C]-0.7428[/C][C]0.22962[/C][/ROW]
[ROW][C]46[/C][C]0.08596[/C][C]0.8892[/C][C]0.187952[/C][/ROW]
[ROW][C]47[/C][C]-0.015817[/C][C]-0.1636[/C][C]0.435174[/C][/ROW]
[ROW][C]48[/C][C]-0.120244[/C][C]-1.2438[/C][C]0.108143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39625&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39625&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
1-0.183224-1.89530.030377
2-0.034102-0.35280.362483
3-0.060997-0.6310.264706
40.0681810.70530.241088
5-0.11445-1.18390.119542
60.0498170.51530.303698
70.0543690.56240.28751
8-0.109402-1.13170.130153
90.0027460.02840.488695
100.2003082.0720.020334
110.0754880.78090.218307
12-0.059541-0.61590.269634
130.0869950.89990.1851
14-0.081973-0.84790.199184
15-0.039772-0.41140.340801
16-0.044654-0.46190.322543
170.0151440.15670.437907
180.0231610.23960.405559
190.0125810.13010.44835
200.0563570.5830.280573
21-0.122654-1.26870.103644
220.0844820.87390.192069
230.1071041.10790.135197
240.084970.87890.190703
25-0.112856-1.16740.122823
26-0.018017-0.18640.426253
270.0325760.3370.368402
28-0.085944-0.8890.187996
290.0508410.52590.30002
30-0.103233-1.06780.143997
310.0529560.54780.292491
320.0002120.00220.499127
33-0.022161-0.22920.409563
340.1069791.10660.135475
35-0.00339-0.03510.486047
360.0676150.69940.242906
37-0.034822-0.36020.359703
38-0.027685-0.28640.387573
39-0.113691-1.1760.121096
400.0628710.65030.258433
41-0.004487-0.04640.481533
420.0626710.64830.259097
43-0.001874-0.01940.492283
440.0519990.53790.295888
45-0.071808-0.74280.22962
460.085960.88920.187952
47-0.015817-0.16360.435174
48-0.120244-1.24380.108143







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.183224-1.89530.030377
2-0.070024-0.72430.235221
3-0.08372-0.8660.194211
40.039350.4070.342396
5-0.106293-1.09950.137009
60.0103540.10710.457455
70.0623520.6450.260161
8-0.106333-1.09990.136918
9-0.016518-0.17090.432328
100.1922711.98890.024634
110.1473421.52410.065214
120.0261750.27080.393551
130.1097651.13540.129369
14-0.047012-0.48630.313875
15-0.023433-0.24240.40447
16-0.05956-0.61610.269571
17-0.069213-0.71590.237793
180.0581040.6010.274544
190.0251150.25980.397761
200.0116720.12070.452064
21-0.147018-1.52080.065635
220.0193570.20020.420842
230.1169541.20980.114514
240.1448741.49860.068462
25-0.003291-0.0340.486454
26-0.019965-0.20650.418389
270.0860850.89050.187606
28-0.086879-0.89870.18542
29-0.019583-0.20260.419928
30-0.167806-1.73580.042739
310.036570.37830.352985
320.0644880.66710.253082
33-0.164777-1.70450.045598
340.0622320.64370.260563
350.0141740.14660.441854
360.1334661.38060.085143
370.0198950.20580.418671
38-0.020532-0.21240.416104
39-0.043294-0.44780.32759
400.1030551.0660.14441
410.0132590.13720.445585
42-0.05425-0.56120.287928
430.0975031.00860.157725
440.0393270.40680.342483
45-0.073738-0.76280.223644
46-0.043347-0.44840.327392
47-0.106108-1.09760.137425
48-0.052484-0.54290.294165

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.183224 & -1.8953 & 0.030377 \tabularnewline
2 & -0.070024 & -0.7243 & 0.235221 \tabularnewline
3 & -0.08372 & -0.866 & 0.194211 \tabularnewline
4 & 0.03935 & 0.407 & 0.342396 \tabularnewline
5 & -0.106293 & -1.0995 & 0.137009 \tabularnewline
6 & 0.010354 & 0.1071 & 0.457455 \tabularnewline
7 & 0.062352 & 0.645 & 0.260161 \tabularnewline
8 & -0.106333 & -1.0999 & 0.136918 \tabularnewline
9 & -0.016518 & -0.1709 & 0.432328 \tabularnewline
10 & 0.192271 & 1.9889 & 0.024634 \tabularnewline
11 & 0.147342 & 1.5241 & 0.065214 \tabularnewline
12 & 0.026175 & 0.2708 & 0.393551 \tabularnewline
13 & 0.109765 & 1.1354 & 0.129369 \tabularnewline
14 & -0.047012 & -0.4863 & 0.313875 \tabularnewline
15 & -0.023433 & -0.2424 & 0.40447 \tabularnewline
16 & -0.05956 & -0.6161 & 0.269571 \tabularnewline
17 & -0.069213 & -0.7159 & 0.237793 \tabularnewline
18 & 0.058104 & 0.601 & 0.274544 \tabularnewline
19 & 0.025115 & 0.2598 & 0.397761 \tabularnewline
20 & 0.011672 & 0.1207 & 0.452064 \tabularnewline
21 & -0.147018 & -1.5208 & 0.065635 \tabularnewline
22 & 0.019357 & 0.2002 & 0.420842 \tabularnewline
23 & 0.116954 & 1.2098 & 0.114514 \tabularnewline
24 & 0.144874 & 1.4986 & 0.068462 \tabularnewline
25 & -0.003291 & -0.034 & 0.486454 \tabularnewline
26 & -0.019965 & -0.2065 & 0.418389 \tabularnewline
27 & 0.086085 & 0.8905 & 0.187606 \tabularnewline
28 & -0.086879 & -0.8987 & 0.18542 \tabularnewline
29 & -0.019583 & -0.2026 & 0.419928 \tabularnewline
30 & -0.167806 & -1.7358 & 0.042739 \tabularnewline
31 & 0.03657 & 0.3783 & 0.352985 \tabularnewline
32 & 0.064488 & 0.6671 & 0.253082 \tabularnewline
33 & -0.164777 & -1.7045 & 0.045598 \tabularnewline
34 & 0.062232 & 0.6437 & 0.260563 \tabularnewline
35 & 0.014174 & 0.1466 & 0.441854 \tabularnewline
36 & 0.133466 & 1.3806 & 0.085143 \tabularnewline
37 & 0.019895 & 0.2058 & 0.418671 \tabularnewline
38 & -0.020532 & -0.2124 & 0.416104 \tabularnewline
39 & -0.043294 & -0.4478 & 0.32759 \tabularnewline
40 & 0.103055 & 1.066 & 0.14441 \tabularnewline
41 & 0.013259 & 0.1372 & 0.445585 \tabularnewline
42 & -0.05425 & -0.5612 & 0.287928 \tabularnewline
43 & 0.097503 & 1.0086 & 0.157725 \tabularnewline
44 & 0.039327 & 0.4068 & 0.342483 \tabularnewline
45 & -0.073738 & -0.7628 & 0.223644 \tabularnewline
46 & -0.043347 & -0.4484 & 0.327392 \tabularnewline
47 & -0.106108 & -1.0976 & 0.137425 \tabularnewline
48 & -0.052484 & -0.5429 & 0.294165 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39625&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]-0.183224[/C][C]-1.8953[/C][C]0.030377[/C][/ROW]
[ROW][C]2[/C][C]-0.070024[/C][C]-0.7243[/C][C]0.235221[/C][/ROW]
[ROW][C]3[/C][C]-0.08372[/C][C]-0.866[/C][C]0.194211[/C][/ROW]
[ROW][C]4[/C][C]0.03935[/C][C]0.407[/C][C]0.342396[/C][/ROW]
[ROW][C]5[/C][C]-0.106293[/C][C]-1.0995[/C][C]0.137009[/C][/ROW]
[ROW][C]6[/C][C]0.010354[/C][C]0.1071[/C][C]0.457455[/C][/ROW]
[ROW][C]7[/C][C]0.062352[/C][C]0.645[/C][C]0.260161[/C][/ROW]
[ROW][C]8[/C][C]-0.106333[/C][C]-1.0999[/C][C]0.136918[/C][/ROW]
[ROW][C]9[/C][C]-0.016518[/C][C]-0.1709[/C][C]0.432328[/C][/ROW]
[ROW][C]10[/C][C]0.192271[/C][C]1.9889[/C][C]0.024634[/C][/ROW]
[ROW][C]11[/C][C]0.147342[/C][C]1.5241[/C][C]0.065214[/C][/ROW]
[ROW][C]12[/C][C]0.026175[/C][C]0.2708[/C][C]0.393551[/C][/ROW]
[ROW][C]13[/C][C]0.109765[/C][C]1.1354[/C][C]0.129369[/C][/ROW]
[ROW][C]14[/C][C]-0.047012[/C][C]-0.4863[/C][C]0.313875[/C][/ROW]
[ROW][C]15[/C][C]-0.023433[/C][C]-0.2424[/C][C]0.40447[/C][/ROW]
[ROW][C]16[/C][C]-0.05956[/C][C]-0.6161[/C][C]0.269571[/C][/ROW]
[ROW][C]17[/C][C]-0.069213[/C][C]-0.7159[/C][C]0.237793[/C][/ROW]
[ROW][C]18[/C][C]0.058104[/C][C]0.601[/C][C]0.274544[/C][/ROW]
[ROW][C]19[/C][C]0.025115[/C][C]0.2598[/C][C]0.397761[/C][/ROW]
[ROW][C]20[/C][C]0.011672[/C][C]0.1207[/C][C]0.452064[/C][/ROW]
[ROW][C]21[/C][C]-0.147018[/C][C]-1.5208[/C][C]0.065635[/C][/ROW]
[ROW][C]22[/C][C]0.019357[/C][C]0.2002[/C][C]0.420842[/C][/ROW]
[ROW][C]23[/C][C]0.116954[/C][C]1.2098[/C][C]0.114514[/C][/ROW]
[ROW][C]24[/C][C]0.144874[/C][C]1.4986[/C][C]0.068462[/C][/ROW]
[ROW][C]25[/C][C]-0.003291[/C][C]-0.034[/C][C]0.486454[/C][/ROW]
[ROW][C]26[/C][C]-0.019965[/C][C]-0.2065[/C][C]0.418389[/C][/ROW]
[ROW][C]27[/C][C]0.086085[/C][C]0.8905[/C][C]0.187606[/C][/ROW]
[ROW][C]28[/C][C]-0.086879[/C][C]-0.8987[/C][C]0.18542[/C][/ROW]
[ROW][C]29[/C][C]-0.019583[/C][C]-0.2026[/C][C]0.419928[/C][/ROW]
[ROW][C]30[/C][C]-0.167806[/C][C]-1.7358[/C][C]0.042739[/C][/ROW]
[ROW][C]31[/C][C]0.03657[/C][C]0.3783[/C][C]0.352985[/C][/ROW]
[ROW][C]32[/C][C]0.064488[/C][C]0.6671[/C][C]0.253082[/C][/ROW]
[ROW][C]33[/C][C]-0.164777[/C][C]-1.7045[/C][C]0.045598[/C][/ROW]
[ROW][C]34[/C][C]0.062232[/C][C]0.6437[/C][C]0.260563[/C][/ROW]
[ROW][C]35[/C][C]0.014174[/C][C]0.1466[/C][C]0.441854[/C][/ROW]
[ROW][C]36[/C][C]0.133466[/C][C]1.3806[/C][C]0.085143[/C][/ROW]
[ROW][C]37[/C][C]0.019895[/C][C]0.2058[/C][C]0.418671[/C][/ROW]
[ROW][C]38[/C][C]-0.020532[/C][C]-0.2124[/C][C]0.416104[/C][/ROW]
[ROW][C]39[/C][C]-0.043294[/C][C]-0.4478[/C][C]0.32759[/C][/ROW]
[ROW][C]40[/C][C]0.103055[/C][C]1.066[/C][C]0.14441[/C][/ROW]
[ROW][C]41[/C][C]0.013259[/C][C]0.1372[/C][C]0.445585[/C][/ROW]
[ROW][C]42[/C][C]-0.05425[/C][C]-0.5612[/C][C]0.287928[/C][/ROW]
[ROW][C]43[/C][C]0.097503[/C][C]1.0086[/C][C]0.157725[/C][/ROW]
[ROW][C]44[/C][C]0.039327[/C][C]0.4068[/C][C]0.342483[/C][/ROW]
[ROW][C]45[/C][C]-0.073738[/C][C]-0.7628[/C][C]0.223644[/C][/ROW]
[ROW][C]46[/C][C]-0.043347[/C][C]-0.4484[/C][C]0.327392[/C][/ROW]
[ROW][C]47[/C][C]-0.106108[/C][C]-1.0976[/C][C]0.137425[/C][/ROW]
[ROW][C]48[/C][C]-0.052484[/C][C]-0.5429[/C][C]0.294165[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39625&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39625&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
1-0.183224-1.89530.030377
2-0.070024-0.72430.235221
3-0.08372-0.8660.194211
40.039350.4070.342396
5-0.106293-1.09950.137009
60.0103540.10710.457455
70.0623520.6450.260161
8-0.106333-1.09990.136918
9-0.016518-0.17090.432328
100.1922711.98890.024634
110.1473421.52410.065214
120.0261750.27080.393551
130.1097651.13540.129369
14-0.047012-0.48630.313875
15-0.023433-0.24240.40447
16-0.05956-0.61610.269571
17-0.069213-0.71590.237793
180.0581040.6010.274544
190.0251150.25980.397761
200.0116720.12070.452064
21-0.147018-1.52080.065635
220.0193570.20020.420842
230.1169541.20980.114514
240.1448741.49860.068462
25-0.003291-0.0340.486454
26-0.019965-0.20650.418389
270.0860850.89050.187606
28-0.086879-0.89870.18542
29-0.019583-0.20260.419928
30-0.167806-1.73580.042739
310.036570.37830.352985
320.0644880.66710.253082
33-0.164777-1.70450.045598
340.0622320.64370.260563
350.0141740.14660.441854
360.1334661.38060.085143
370.0198950.20580.418671
38-0.020532-0.21240.416104
39-0.043294-0.44780.32759
400.1030551.0660.14441
410.0132590.13720.445585
42-0.05425-0.56120.287928
430.0975031.00860.157725
440.0393270.40680.342483
45-0.073738-0.76280.223644
46-0.043347-0.44840.327392
47-0.106108-1.09760.137425
48-0.052484-0.54290.294165



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; 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')