Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 12:25:44 -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/2007/Dec/13/t119757304561iukof54vw6rp7.htm/, Retrieved Sun, 05 May 2024 20:04:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3700, Retrieved Sun, 05 May 2024 20:04:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsLise Swinnen
Estimated Impact199
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper (vrm/acf 2 ...] [2007-12-13 19:25:44] [a526d213baffe7453818dd375c9a7100] [Current]
Feedback Forum

Post a new message
Dataseries X:
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3700&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3700&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3700&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
10.2948732.04290.023285
20.3447262.38830.010453
30.1682911.1660.124697
40.1039510.72020.237448
50.1099590.76180.224948
60.0487270.33760.368571
7-0.068715-0.47610.681908
8-0.059056-0.40920.657877
9-0.008183-0.05670.522487
10-0.242711-1.68150.950424
11-0.235773-1.63350.945545
12-0.388854-2.69410.995152
13-0.308024-2.13410.981013
14-0.169655-1.17540.877184
15-0.064416-0.44630.671302
16-0.263596-1.82620.962982
170.0150550.10430.458681
18-0.055609-0.38530.649129
19-0.055044-0.38140.647689
200.0231820.16060.436537
21-0.063331-0.43880.668602
22-0.000407-0.00280.50112
230.1173220.81280.210165
24-0.00306-0.02120.508413
250.066430.46020.32371
260.0667550.46250.322909
27-0.049011-0.33960.632164
28-0.006818-0.04720.51874
29-0.048079-0.33310.629747
30-0.061169-0.42380.663193
310.0307650.21310.416057
320.0605030.41920.338477
330.0651930.45170.326769
340.0319680.22150.412829
350.0161520.11190.455682
36-0.024355-0.16870.566644
37-0.003941-0.02730.510835
380.0413650.28660.387832
39-0.003635-0.02520.509993
400.1372380.95080.173231
410.0568210.39370.347784
420.0425490.29480.384713
430.0123730.08570.466022
44-0.069332-0.48030.683418
45-0.035769-0.24780.597334
46-0.05545-0.38420.648726
47-0.010209-0.07070.528046

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.294873 & 2.0429 & 0.023285 \tabularnewline
2 & 0.344726 & 2.3883 & 0.010453 \tabularnewline
3 & 0.168291 & 1.166 & 0.124697 \tabularnewline
4 & 0.103951 & 0.7202 & 0.237448 \tabularnewline
5 & 0.109959 & 0.7618 & 0.224948 \tabularnewline
6 & 0.048727 & 0.3376 & 0.368571 \tabularnewline
7 & -0.068715 & -0.4761 & 0.681908 \tabularnewline
8 & -0.059056 & -0.4092 & 0.657877 \tabularnewline
9 & -0.008183 & -0.0567 & 0.522487 \tabularnewline
10 & -0.242711 & -1.6815 & 0.950424 \tabularnewline
11 & -0.235773 & -1.6335 & 0.945545 \tabularnewline
12 & -0.388854 & -2.6941 & 0.995152 \tabularnewline
13 & -0.308024 & -2.1341 & 0.981013 \tabularnewline
14 & -0.169655 & -1.1754 & 0.877184 \tabularnewline
15 & -0.064416 & -0.4463 & 0.671302 \tabularnewline
16 & -0.263596 & -1.8262 & 0.962982 \tabularnewline
17 & 0.015055 & 0.1043 & 0.458681 \tabularnewline
18 & -0.055609 & -0.3853 & 0.649129 \tabularnewline
19 & -0.055044 & -0.3814 & 0.647689 \tabularnewline
20 & 0.023182 & 0.1606 & 0.436537 \tabularnewline
21 & -0.063331 & -0.4388 & 0.668602 \tabularnewline
22 & -0.000407 & -0.0028 & 0.50112 \tabularnewline
23 & 0.117322 & 0.8128 & 0.210165 \tabularnewline
24 & -0.00306 & -0.0212 & 0.508413 \tabularnewline
25 & 0.06643 & 0.4602 & 0.32371 \tabularnewline
26 & 0.066755 & 0.4625 & 0.322909 \tabularnewline
27 & -0.049011 & -0.3396 & 0.632164 \tabularnewline
28 & -0.006818 & -0.0472 & 0.51874 \tabularnewline
29 & -0.048079 & -0.3331 & 0.629747 \tabularnewline
30 & -0.061169 & -0.4238 & 0.663193 \tabularnewline
31 & 0.030765 & 0.2131 & 0.416057 \tabularnewline
32 & 0.060503 & 0.4192 & 0.338477 \tabularnewline
33 & 0.065193 & 0.4517 & 0.326769 \tabularnewline
34 & 0.031968 & 0.2215 & 0.412829 \tabularnewline
35 & 0.016152 & 0.1119 & 0.455682 \tabularnewline
36 & -0.024355 & -0.1687 & 0.566644 \tabularnewline
37 & -0.003941 & -0.0273 & 0.510835 \tabularnewline
38 & 0.041365 & 0.2866 & 0.387832 \tabularnewline
39 & -0.003635 & -0.0252 & 0.509993 \tabularnewline
40 & 0.137238 & 0.9508 & 0.173231 \tabularnewline
41 & 0.056821 & 0.3937 & 0.347784 \tabularnewline
42 & 0.042549 & 0.2948 & 0.384713 \tabularnewline
43 & 0.012373 & 0.0857 & 0.466022 \tabularnewline
44 & -0.069332 & -0.4803 & 0.683418 \tabularnewline
45 & -0.035769 & -0.2478 & 0.597334 \tabularnewline
46 & -0.05545 & -0.3842 & 0.648726 \tabularnewline
47 & -0.010209 & -0.0707 & 0.528046 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3700&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]0[/C][C]1[/C][C]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.294873[/C][C]2.0429[/C][C]0.023285[/C][/ROW]
[ROW][C]2[/C][C]0.344726[/C][C]2.3883[/C][C]0.010453[/C][/ROW]
[ROW][C]3[/C][C]0.168291[/C][C]1.166[/C][C]0.124697[/C][/ROW]
[ROW][C]4[/C][C]0.103951[/C][C]0.7202[/C][C]0.237448[/C][/ROW]
[ROW][C]5[/C][C]0.109959[/C][C]0.7618[/C][C]0.224948[/C][/ROW]
[ROW][C]6[/C][C]0.048727[/C][C]0.3376[/C][C]0.368571[/C][/ROW]
[ROW][C]7[/C][C]-0.068715[/C][C]-0.4761[/C][C]0.681908[/C][/ROW]
[ROW][C]8[/C][C]-0.059056[/C][C]-0.4092[/C][C]0.657877[/C][/ROW]
[ROW][C]9[/C][C]-0.008183[/C][C]-0.0567[/C][C]0.522487[/C][/ROW]
[ROW][C]10[/C][C]-0.242711[/C][C]-1.6815[/C][C]0.950424[/C][/ROW]
[ROW][C]11[/C][C]-0.235773[/C][C]-1.6335[/C][C]0.945545[/C][/ROW]
[ROW][C]12[/C][C]-0.388854[/C][C]-2.6941[/C][C]0.995152[/C][/ROW]
[ROW][C]13[/C][C]-0.308024[/C][C]-2.1341[/C][C]0.981013[/C][/ROW]
[ROW][C]14[/C][C]-0.169655[/C][C]-1.1754[/C][C]0.877184[/C][/ROW]
[ROW][C]15[/C][C]-0.064416[/C][C]-0.4463[/C][C]0.671302[/C][/ROW]
[ROW][C]16[/C][C]-0.263596[/C][C]-1.8262[/C][C]0.962982[/C][/ROW]
[ROW][C]17[/C][C]0.015055[/C][C]0.1043[/C][C]0.458681[/C][/ROW]
[ROW][C]18[/C][C]-0.055609[/C][C]-0.3853[/C][C]0.649129[/C][/ROW]
[ROW][C]19[/C][C]-0.055044[/C][C]-0.3814[/C][C]0.647689[/C][/ROW]
[ROW][C]20[/C][C]0.023182[/C][C]0.1606[/C][C]0.436537[/C][/ROW]
[ROW][C]21[/C][C]-0.063331[/C][C]-0.4388[/C][C]0.668602[/C][/ROW]
[ROW][C]22[/C][C]-0.000407[/C][C]-0.0028[/C][C]0.50112[/C][/ROW]
[ROW][C]23[/C][C]0.117322[/C][C]0.8128[/C][C]0.210165[/C][/ROW]
[ROW][C]24[/C][C]-0.00306[/C][C]-0.0212[/C][C]0.508413[/C][/ROW]
[ROW][C]25[/C][C]0.06643[/C][C]0.4602[/C][C]0.32371[/C][/ROW]
[ROW][C]26[/C][C]0.066755[/C][C]0.4625[/C][C]0.322909[/C][/ROW]
[ROW][C]27[/C][C]-0.049011[/C][C]-0.3396[/C][C]0.632164[/C][/ROW]
[ROW][C]28[/C][C]-0.006818[/C][C]-0.0472[/C][C]0.51874[/C][/ROW]
[ROW][C]29[/C][C]-0.048079[/C][C]-0.3331[/C][C]0.629747[/C][/ROW]
[ROW][C]30[/C][C]-0.061169[/C][C]-0.4238[/C][C]0.663193[/C][/ROW]
[ROW][C]31[/C][C]0.030765[/C][C]0.2131[/C][C]0.416057[/C][/ROW]
[ROW][C]32[/C][C]0.060503[/C][C]0.4192[/C][C]0.338477[/C][/ROW]
[ROW][C]33[/C][C]0.065193[/C][C]0.4517[/C][C]0.326769[/C][/ROW]
[ROW][C]34[/C][C]0.031968[/C][C]0.2215[/C][C]0.412829[/C][/ROW]
[ROW][C]35[/C][C]0.016152[/C][C]0.1119[/C][C]0.455682[/C][/ROW]
[ROW][C]36[/C][C]-0.024355[/C][C]-0.1687[/C][C]0.566644[/C][/ROW]
[ROW][C]37[/C][C]-0.003941[/C][C]-0.0273[/C][C]0.510835[/C][/ROW]
[ROW][C]38[/C][C]0.041365[/C][C]0.2866[/C][C]0.387832[/C][/ROW]
[ROW][C]39[/C][C]-0.003635[/C][C]-0.0252[/C][C]0.509993[/C][/ROW]
[ROW][C]40[/C][C]0.137238[/C][C]0.9508[/C][C]0.173231[/C][/ROW]
[ROW][C]41[/C][C]0.056821[/C][C]0.3937[/C][C]0.347784[/C][/ROW]
[ROW][C]42[/C][C]0.042549[/C][C]0.2948[/C][C]0.384713[/C][/ROW]
[ROW][C]43[/C][C]0.012373[/C][C]0.0857[/C][C]0.466022[/C][/ROW]
[ROW][C]44[/C][C]-0.069332[/C][C]-0.4803[/C][C]0.683418[/C][/ROW]
[ROW][C]45[/C][C]-0.035769[/C][C]-0.2478[/C][C]0.597334[/C][/ROW]
[ROW][C]46[/C][C]-0.05545[/C][C]-0.3842[/C][C]0.648726[/C][/ROW]
[ROW][C]47[/C][C]-0.010209[/C][C]-0.0707[/C][C]0.528046[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3700&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3700&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
016.92820
10.2948732.04290.023285
20.3447262.38830.010453
30.1682911.1660.124697
40.1039510.72020.237448
50.1099590.76180.224948
60.0487270.33760.368571
7-0.068715-0.47610.681908
8-0.059056-0.40920.657877
9-0.008183-0.05670.522487
10-0.242711-1.68150.950424
11-0.235773-1.63350.945545
12-0.388854-2.69410.995152
13-0.308024-2.13410.981013
14-0.169655-1.17540.877184
15-0.064416-0.44630.671302
16-0.263596-1.82620.962982
170.0150550.10430.458681
18-0.055609-0.38530.649129
19-0.055044-0.38140.647689
200.0231820.16060.436537
21-0.063331-0.43880.668602
22-0.000407-0.00280.50112
230.1173220.81280.210165
24-0.00306-0.02120.508413
250.066430.46020.32371
260.0667550.46250.322909
27-0.049011-0.33960.632164
28-0.006818-0.04720.51874
29-0.048079-0.33310.629747
30-0.061169-0.42380.663193
310.0307650.21310.416057
320.0605030.41920.338477
330.0651930.45170.326769
340.0319680.22150.412829
350.0161520.11190.455682
36-0.024355-0.16870.566644
37-0.003941-0.02730.510835
380.0413650.28660.387832
39-0.003635-0.02520.509993
400.1372380.95080.173231
410.0568210.39370.347784
420.0425490.29480.384713
430.0123730.08570.466022
44-0.069332-0.48030.683418
45-0.035769-0.24780.597334
46-0.05545-0.38420.648726
47-0.010209-0.07070.528046







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2948732.04290.023285
10.2823241.9560.028149
20.0143870.09970.460508
3-0.037491-0.25970.601915
40.051230.35490.362099
5-0.00491-0.0340.513497
6-0.143587-0.99480.837588
7-0.044586-0.30890.620634
80.0885840.61370.271147
9-0.261518-1.81190.961866
10-0.198632-1.37620.91242
11-0.207463-1.43730.921447
12-0.072051-0.49920.690034
130.0816560.56570.287106
140.1578691.09370.139763
15-0.247878-1.71740.953819
160.1266840.87770.192241
170.0685880.47520.318404
18-0.140415-0.97280.83224
19-0.033836-0.23440.592172
200.000139e-040.499642
21-0.120663-0.8360.796346
22-0.038864-0.26930.605558
23-0.18851-1.3060.901118
240.0448370.31060.378709
250.0081050.05620.477727
26-0.104214-0.7220.763106
27-0.136044-0.94250.824683
28-0.044097-0.30550.619352
290.0354060.24530.403635
300.0855160.59250.278157
31-0.097645-0.67650.749015
320.1494481.03540.152833
33-0.091942-0.6370.736422
34-0.144327-0.99990.83882
35-0.047023-0.32580.626999
36-0.06653-0.46090.676537
370.0393460.27260.393167
38-0.015117-0.10470.541488
39-0.110735-0.76720.776639
400.0403070.27930.390623
41-0.020725-0.14360.556785
42-0.059245-0.41050.658353
43-0.059349-0.41120.658614
440.0197640.13690.445829
45-0.07195-0.49850.68979
46-0.000846-0.00590.502328
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.294873 & 2.0429 & 0.023285 \tabularnewline
1 & 0.282324 & 1.956 & 0.028149 \tabularnewline
2 & 0.014387 & 0.0997 & 0.460508 \tabularnewline
3 & -0.037491 & -0.2597 & 0.601915 \tabularnewline
4 & 0.05123 & 0.3549 & 0.362099 \tabularnewline
5 & -0.00491 & -0.034 & 0.513497 \tabularnewline
6 & -0.143587 & -0.9948 & 0.837588 \tabularnewline
7 & -0.044586 & -0.3089 & 0.620634 \tabularnewline
8 & 0.088584 & 0.6137 & 0.271147 \tabularnewline
9 & -0.261518 & -1.8119 & 0.961866 \tabularnewline
10 & -0.198632 & -1.3762 & 0.91242 \tabularnewline
11 & -0.207463 & -1.4373 & 0.921447 \tabularnewline
12 & -0.072051 & -0.4992 & 0.690034 \tabularnewline
13 & 0.081656 & 0.5657 & 0.287106 \tabularnewline
14 & 0.157869 & 1.0937 & 0.139763 \tabularnewline
15 & -0.247878 & -1.7174 & 0.953819 \tabularnewline
16 & 0.126684 & 0.8777 & 0.192241 \tabularnewline
17 & 0.068588 & 0.4752 & 0.318404 \tabularnewline
18 & -0.140415 & -0.9728 & 0.83224 \tabularnewline
19 & -0.033836 & -0.2344 & 0.592172 \tabularnewline
20 & 0.00013 & 9e-04 & 0.499642 \tabularnewline
21 & -0.120663 & -0.836 & 0.796346 \tabularnewline
22 & -0.038864 & -0.2693 & 0.605558 \tabularnewline
23 & -0.18851 & -1.306 & 0.901118 \tabularnewline
24 & 0.044837 & 0.3106 & 0.378709 \tabularnewline
25 & 0.008105 & 0.0562 & 0.477727 \tabularnewline
26 & -0.104214 & -0.722 & 0.763106 \tabularnewline
27 & -0.136044 & -0.9425 & 0.824683 \tabularnewline
28 & -0.044097 & -0.3055 & 0.619352 \tabularnewline
29 & 0.035406 & 0.2453 & 0.403635 \tabularnewline
30 & 0.085516 & 0.5925 & 0.278157 \tabularnewline
31 & -0.097645 & -0.6765 & 0.749015 \tabularnewline
32 & 0.149448 & 1.0354 & 0.152833 \tabularnewline
33 & -0.091942 & -0.637 & 0.736422 \tabularnewline
34 & -0.144327 & -0.9999 & 0.83882 \tabularnewline
35 & -0.047023 & -0.3258 & 0.626999 \tabularnewline
36 & -0.06653 & -0.4609 & 0.676537 \tabularnewline
37 & 0.039346 & 0.2726 & 0.393167 \tabularnewline
38 & -0.015117 & -0.1047 & 0.541488 \tabularnewline
39 & -0.110735 & -0.7672 & 0.776639 \tabularnewline
40 & 0.040307 & 0.2793 & 0.390623 \tabularnewline
41 & -0.020725 & -0.1436 & 0.556785 \tabularnewline
42 & -0.059245 & -0.4105 & 0.658353 \tabularnewline
43 & -0.059349 & -0.4112 & 0.658614 \tabularnewline
44 & 0.019764 & 0.1369 & 0.445829 \tabularnewline
45 & -0.07195 & -0.4985 & 0.68979 \tabularnewline
46 & -0.000846 & -0.0059 & 0.502328 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3700&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]0[/C][C]0.294873[/C][C]2.0429[/C][C]0.023285[/C][/ROW]
[ROW][C]1[/C][C]0.282324[/C][C]1.956[/C][C]0.028149[/C][/ROW]
[ROW][C]2[/C][C]0.014387[/C][C]0.0997[/C][C]0.460508[/C][/ROW]
[ROW][C]3[/C][C]-0.037491[/C][C]-0.2597[/C][C]0.601915[/C][/ROW]
[ROW][C]4[/C][C]0.05123[/C][C]0.3549[/C][C]0.362099[/C][/ROW]
[ROW][C]5[/C][C]-0.00491[/C][C]-0.034[/C][C]0.513497[/C][/ROW]
[ROW][C]6[/C][C]-0.143587[/C][C]-0.9948[/C][C]0.837588[/C][/ROW]
[ROW][C]7[/C][C]-0.044586[/C][C]-0.3089[/C][C]0.620634[/C][/ROW]
[ROW][C]8[/C][C]0.088584[/C][C]0.6137[/C][C]0.271147[/C][/ROW]
[ROW][C]9[/C][C]-0.261518[/C][C]-1.8119[/C][C]0.961866[/C][/ROW]
[ROW][C]10[/C][C]-0.198632[/C][C]-1.3762[/C][C]0.91242[/C][/ROW]
[ROW][C]11[/C][C]-0.207463[/C][C]-1.4373[/C][C]0.921447[/C][/ROW]
[ROW][C]12[/C][C]-0.072051[/C][C]-0.4992[/C][C]0.690034[/C][/ROW]
[ROW][C]13[/C][C]0.081656[/C][C]0.5657[/C][C]0.287106[/C][/ROW]
[ROW][C]14[/C][C]0.157869[/C][C]1.0937[/C][C]0.139763[/C][/ROW]
[ROW][C]15[/C][C]-0.247878[/C][C]-1.7174[/C][C]0.953819[/C][/ROW]
[ROW][C]16[/C][C]0.126684[/C][C]0.8777[/C][C]0.192241[/C][/ROW]
[ROW][C]17[/C][C]0.068588[/C][C]0.4752[/C][C]0.318404[/C][/ROW]
[ROW][C]18[/C][C]-0.140415[/C][C]-0.9728[/C][C]0.83224[/C][/ROW]
[ROW][C]19[/C][C]-0.033836[/C][C]-0.2344[/C][C]0.592172[/C][/ROW]
[ROW][C]20[/C][C]0.00013[/C][C]9e-04[/C][C]0.499642[/C][/ROW]
[ROW][C]21[/C][C]-0.120663[/C][C]-0.836[/C][C]0.796346[/C][/ROW]
[ROW][C]22[/C][C]-0.038864[/C][C]-0.2693[/C][C]0.605558[/C][/ROW]
[ROW][C]23[/C][C]-0.18851[/C][C]-1.306[/C][C]0.901118[/C][/ROW]
[ROW][C]24[/C][C]0.044837[/C][C]0.3106[/C][C]0.378709[/C][/ROW]
[ROW][C]25[/C][C]0.008105[/C][C]0.0562[/C][C]0.477727[/C][/ROW]
[ROW][C]26[/C][C]-0.104214[/C][C]-0.722[/C][C]0.763106[/C][/ROW]
[ROW][C]27[/C][C]-0.136044[/C][C]-0.9425[/C][C]0.824683[/C][/ROW]
[ROW][C]28[/C][C]-0.044097[/C][C]-0.3055[/C][C]0.619352[/C][/ROW]
[ROW][C]29[/C][C]0.035406[/C][C]0.2453[/C][C]0.403635[/C][/ROW]
[ROW][C]30[/C][C]0.085516[/C][C]0.5925[/C][C]0.278157[/C][/ROW]
[ROW][C]31[/C][C]-0.097645[/C][C]-0.6765[/C][C]0.749015[/C][/ROW]
[ROW][C]32[/C][C]0.149448[/C][C]1.0354[/C][C]0.152833[/C][/ROW]
[ROW][C]33[/C][C]-0.091942[/C][C]-0.637[/C][C]0.736422[/C][/ROW]
[ROW][C]34[/C][C]-0.144327[/C][C]-0.9999[/C][C]0.83882[/C][/ROW]
[ROW][C]35[/C][C]-0.047023[/C][C]-0.3258[/C][C]0.626999[/C][/ROW]
[ROW][C]36[/C][C]-0.06653[/C][C]-0.4609[/C][C]0.676537[/C][/ROW]
[ROW][C]37[/C][C]0.039346[/C][C]0.2726[/C][C]0.393167[/C][/ROW]
[ROW][C]38[/C][C]-0.015117[/C][C]-0.1047[/C][C]0.541488[/C][/ROW]
[ROW][C]39[/C][C]-0.110735[/C][C]-0.7672[/C][C]0.776639[/C][/ROW]
[ROW][C]40[/C][C]0.040307[/C][C]0.2793[/C][C]0.390623[/C][/ROW]
[ROW][C]41[/C][C]-0.020725[/C][C]-0.1436[/C][C]0.556785[/C][/ROW]
[ROW][C]42[/C][C]-0.059245[/C][C]-0.4105[/C][C]0.658353[/C][/ROW]
[ROW][C]43[/C][C]-0.059349[/C][C]-0.4112[/C][C]0.658614[/C][/ROW]
[ROW][C]44[/C][C]0.019764[/C][C]0.1369[/C][C]0.445829[/C][/ROW]
[ROW][C]45[/C][C]-0.07195[/C][C]-0.4985[/C][C]0.68979[/C][/ROW]
[ROW][C]46[/C][C]-0.000846[/C][C]-0.0059[/C][C]0.502328[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3700&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3700&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
00.2948732.04290.023285
10.2823241.9560.028149
20.0143870.09970.460508
3-0.037491-0.25970.601915
40.051230.35490.362099
5-0.00491-0.0340.513497
6-0.143587-0.99480.837588
7-0.044586-0.30890.620634
80.0885840.61370.271147
9-0.261518-1.81190.961866
10-0.198632-1.37620.91242
11-0.207463-1.43730.921447
12-0.072051-0.49920.690034
130.0816560.56570.287106
140.1578691.09370.139763
15-0.247878-1.71740.953819
160.1266840.87770.192241
170.0685880.47520.318404
18-0.140415-0.97280.83224
19-0.033836-0.23440.592172
200.000139e-040.499642
21-0.120663-0.8360.796346
22-0.038864-0.26930.605558
23-0.18851-1.3060.901118
240.0448370.31060.378709
250.0081050.05620.477727
26-0.104214-0.7220.763106
27-0.136044-0.94250.824683
28-0.044097-0.30550.619352
290.0354060.24530.403635
300.0855160.59250.278157
31-0.097645-0.67650.749015
320.1494481.03540.152833
33-0.091942-0.6370.736422
34-0.144327-0.99990.83882
35-0.047023-0.32580.626999
36-0.06653-0.46090.676537
370.0393460.27260.393167
38-0.015117-0.10470.541488
39-0.110735-0.76720.776639
400.0403070.27930.390623
41-0.020725-0.14360.556785
42-0.059245-0.41050.658353
43-0.059349-0.41120.658614
440.0197640.13690.445829
45-0.07195-0.49850.68979
46-0.000846-0.00590.502328
47NANANA



Parameters (Session):
par1 = 48 ; par2 = -0.5 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = -0.5 ; par3 = 0 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')