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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 04 Jun 2009 11:11:44 -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/Jun/04/t1244135673cetz1ldm6vbprz9.htm/, Retrieved Tue, 14 May 2024 20:11:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41727, Retrieved Tue, 14 May 2024 20:11:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorrelation-f...] [2009-05-14 18:52:05] [c5bcbaead55fdd099c0bf722e6d3bc46]
-   P     [(Partial) Autocorrelation Function] [autocorrelation-f...] [2009-06-04 17:11:44] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1
-1
3
4
3
2
1
4
3
5
6
6
6
6
6
5
6
5
6
5
7
4
5
6
6
5
3
2
3
3
2
0
4
4
5
6
6
5
5
3
5
5
5
3
6
6
4
6
5
4
5
5
4
3
2
3
2
-1
0
-2
1
-2
-2
-2
-6
-4
-2
0
-5
-4
-5
-1




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=41727&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=41727&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41727&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
1-0.339707-2.86240.002761
20.0121820.10260.459265
3-0.166371-1.40190.082656
40.1170390.98620.163695
50.0777730.65530.257188
6-0.026727-0.22520.411234
70.0596350.50250.308437
8-0.096316-0.81160.209875
90.0382510.32230.374082
10-0.074946-0.63150.26487
110.0950250.80070.212989
120.0207230.17460.430939
130.0035690.03010.488047
14-0.144419-1.21690.113836
150.0300230.2530.400508
160.147441.24230.109098
17-0.213522-1.79920.038121
180.1039440.87580.192034
19-0.156748-1.32080.095407
200.0562220.47370.318573
21-0.052137-0.43930.330885
220.1302681.09770.138031
23-0.08718-0.73460.232505
24-0.113154-0.95350.171798
250.1085140.91440.181814
260.030720.25890.398249
270.0569320.47970.31645
28-0.06533-0.55050.291859
29-0.095531-0.8050.211766
300.0394040.3320.370425
310.1266231.06690.144805
32-0.074164-0.62490.267014
330.0913350.76960.222044
34-0.052304-0.44070.330377
350.0520660.43870.3311
36-0.143638-1.21030.115087
370.086850.73180.233346
380.1389111.17050.12286
39-0.069594-0.58640.279729
400.0079470.0670.473399
41-0.117929-0.99370.161875
420.1213791.02280.154947
430.0302940.25530.39963
44-0.052829-0.44510.328786
45-0.026616-0.22430.411595
46-0.100061-0.84310.200995
470.0650710.54830.292603
48-0.034834-0.29350.384991

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.339707 & -2.8624 & 0.002761 \tabularnewline
2 & 0.012182 & 0.1026 & 0.459265 \tabularnewline
3 & -0.166371 & -1.4019 & 0.082656 \tabularnewline
4 & 0.117039 & 0.9862 & 0.163695 \tabularnewline
5 & 0.077773 & 0.6553 & 0.257188 \tabularnewline
6 & -0.026727 & -0.2252 & 0.411234 \tabularnewline
7 & 0.059635 & 0.5025 & 0.308437 \tabularnewline
8 & -0.096316 & -0.8116 & 0.209875 \tabularnewline
9 & 0.038251 & 0.3223 & 0.374082 \tabularnewline
10 & -0.074946 & -0.6315 & 0.26487 \tabularnewline
11 & 0.095025 & 0.8007 & 0.212989 \tabularnewline
12 & 0.020723 & 0.1746 & 0.430939 \tabularnewline
13 & 0.003569 & 0.0301 & 0.488047 \tabularnewline
14 & -0.144419 & -1.2169 & 0.113836 \tabularnewline
15 & 0.030023 & 0.253 & 0.400508 \tabularnewline
16 & 0.14744 & 1.2423 & 0.109098 \tabularnewline
17 & -0.213522 & -1.7992 & 0.038121 \tabularnewline
18 & 0.103944 & 0.8758 & 0.192034 \tabularnewline
19 & -0.156748 & -1.3208 & 0.095407 \tabularnewline
20 & 0.056222 & 0.4737 & 0.318573 \tabularnewline
21 & -0.052137 & -0.4393 & 0.330885 \tabularnewline
22 & 0.130268 & 1.0977 & 0.138031 \tabularnewline
23 & -0.08718 & -0.7346 & 0.232505 \tabularnewline
24 & -0.113154 & -0.9535 & 0.171798 \tabularnewline
25 & 0.108514 & 0.9144 & 0.181814 \tabularnewline
26 & 0.03072 & 0.2589 & 0.398249 \tabularnewline
27 & 0.056932 & 0.4797 & 0.31645 \tabularnewline
28 & -0.06533 & -0.5505 & 0.291859 \tabularnewline
29 & -0.095531 & -0.805 & 0.211766 \tabularnewline
30 & 0.039404 & 0.332 & 0.370425 \tabularnewline
31 & 0.126623 & 1.0669 & 0.144805 \tabularnewline
32 & -0.074164 & -0.6249 & 0.267014 \tabularnewline
33 & 0.091335 & 0.7696 & 0.222044 \tabularnewline
34 & -0.052304 & -0.4407 & 0.330377 \tabularnewline
35 & 0.052066 & 0.4387 & 0.3311 \tabularnewline
36 & -0.143638 & -1.2103 & 0.115087 \tabularnewline
37 & 0.08685 & 0.7318 & 0.233346 \tabularnewline
38 & 0.138911 & 1.1705 & 0.12286 \tabularnewline
39 & -0.069594 & -0.5864 & 0.279729 \tabularnewline
40 & 0.007947 & 0.067 & 0.473399 \tabularnewline
41 & -0.117929 & -0.9937 & 0.161875 \tabularnewline
42 & 0.121379 & 1.0228 & 0.154947 \tabularnewline
43 & 0.030294 & 0.2553 & 0.39963 \tabularnewline
44 & -0.052829 & -0.4451 & 0.328786 \tabularnewline
45 & -0.026616 & -0.2243 & 0.411595 \tabularnewline
46 & -0.100061 & -0.8431 & 0.200995 \tabularnewline
47 & 0.065071 & 0.5483 & 0.292603 \tabularnewline
48 & -0.034834 & -0.2935 & 0.384991 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41727&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]-0.339707[/C][C]-2.8624[/C][C]0.002761[/C][/ROW]
[ROW][C]2[/C][C]0.012182[/C][C]0.1026[/C][C]0.459265[/C][/ROW]
[ROW][C]3[/C][C]-0.166371[/C][C]-1.4019[/C][C]0.082656[/C][/ROW]
[ROW][C]4[/C][C]0.117039[/C][C]0.9862[/C][C]0.163695[/C][/ROW]
[ROW][C]5[/C][C]0.077773[/C][C]0.6553[/C][C]0.257188[/C][/ROW]
[ROW][C]6[/C][C]-0.026727[/C][C]-0.2252[/C][C]0.411234[/C][/ROW]
[ROW][C]7[/C][C]0.059635[/C][C]0.5025[/C][C]0.308437[/C][/ROW]
[ROW][C]8[/C][C]-0.096316[/C][C]-0.8116[/C][C]0.209875[/C][/ROW]
[ROW][C]9[/C][C]0.038251[/C][C]0.3223[/C][C]0.374082[/C][/ROW]
[ROW][C]10[/C][C]-0.074946[/C][C]-0.6315[/C][C]0.26487[/C][/ROW]
[ROW][C]11[/C][C]0.095025[/C][C]0.8007[/C][C]0.212989[/C][/ROW]
[ROW][C]12[/C][C]0.020723[/C][C]0.1746[/C][C]0.430939[/C][/ROW]
[ROW][C]13[/C][C]0.003569[/C][C]0.0301[/C][C]0.488047[/C][/ROW]
[ROW][C]14[/C][C]-0.144419[/C][C]-1.2169[/C][C]0.113836[/C][/ROW]
[ROW][C]15[/C][C]0.030023[/C][C]0.253[/C][C]0.400508[/C][/ROW]
[ROW][C]16[/C][C]0.14744[/C][C]1.2423[/C][C]0.109098[/C][/ROW]
[ROW][C]17[/C][C]-0.213522[/C][C]-1.7992[/C][C]0.038121[/C][/ROW]
[ROW][C]18[/C][C]0.103944[/C][C]0.8758[/C][C]0.192034[/C][/ROW]
[ROW][C]19[/C][C]-0.156748[/C][C]-1.3208[/C][C]0.095407[/C][/ROW]
[ROW][C]20[/C][C]0.056222[/C][C]0.4737[/C][C]0.318573[/C][/ROW]
[ROW][C]21[/C][C]-0.052137[/C][C]-0.4393[/C][C]0.330885[/C][/ROW]
[ROW][C]22[/C][C]0.130268[/C][C]1.0977[/C][C]0.138031[/C][/ROW]
[ROW][C]23[/C][C]-0.08718[/C][C]-0.7346[/C][C]0.232505[/C][/ROW]
[ROW][C]24[/C][C]-0.113154[/C][C]-0.9535[/C][C]0.171798[/C][/ROW]
[ROW][C]25[/C][C]0.108514[/C][C]0.9144[/C][C]0.181814[/C][/ROW]
[ROW][C]26[/C][C]0.03072[/C][C]0.2589[/C][C]0.398249[/C][/ROW]
[ROW][C]27[/C][C]0.056932[/C][C]0.4797[/C][C]0.31645[/C][/ROW]
[ROW][C]28[/C][C]-0.06533[/C][C]-0.5505[/C][C]0.291859[/C][/ROW]
[ROW][C]29[/C][C]-0.095531[/C][C]-0.805[/C][C]0.211766[/C][/ROW]
[ROW][C]30[/C][C]0.039404[/C][C]0.332[/C][C]0.370425[/C][/ROW]
[ROW][C]31[/C][C]0.126623[/C][C]1.0669[/C][C]0.144805[/C][/ROW]
[ROW][C]32[/C][C]-0.074164[/C][C]-0.6249[/C][C]0.267014[/C][/ROW]
[ROW][C]33[/C][C]0.091335[/C][C]0.7696[/C][C]0.222044[/C][/ROW]
[ROW][C]34[/C][C]-0.052304[/C][C]-0.4407[/C][C]0.330377[/C][/ROW]
[ROW][C]35[/C][C]0.052066[/C][C]0.4387[/C][C]0.3311[/C][/ROW]
[ROW][C]36[/C][C]-0.143638[/C][C]-1.2103[/C][C]0.115087[/C][/ROW]
[ROW][C]37[/C][C]0.08685[/C][C]0.7318[/C][C]0.233346[/C][/ROW]
[ROW][C]38[/C][C]0.138911[/C][C]1.1705[/C][C]0.12286[/C][/ROW]
[ROW][C]39[/C][C]-0.069594[/C][C]-0.5864[/C][C]0.279729[/C][/ROW]
[ROW][C]40[/C][C]0.007947[/C][C]0.067[/C][C]0.473399[/C][/ROW]
[ROW][C]41[/C][C]-0.117929[/C][C]-0.9937[/C][C]0.161875[/C][/ROW]
[ROW][C]42[/C][C]0.121379[/C][C]1.0228[/C][C]0.154947[/C][/ROW]
[ROW][C]43[/C][C]0.030294[/C][C]0.2553[/C][C]0.39963[/C][/ROW]
[ROW][C]44[/C][C]-0.052829[/C][C]-0.4451[/C][C]0.328786[/C][/ROW]
[ROW][C]45[/C][C]-0.026616[/C][C]-0.2243[/C][C]0.411595[/C][/ROW]
[ROW][C]46[/C][C]-0.100061[/C][C]-0.8431[/C][C]0.200995[/C][/ROW]
[ROW][C]47[/C][C]0.065071[/C][C]0.5483[/C][C]0.292603[/C][/ROW]
[ROW][C]48[/C][C]-0.034834[/C][C]-0.2935[/C][C]0.384991[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41727&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41727&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
1-0.339707-2.86240.002761
20.0121820.10260.459265
3-0.166371-1.40190.082656
40.1170390.98620.163695
50.0777730.65530.257188
6-0.026727-0.22520.411234
70.0596350.50250.308437
8-0.096316-0.81160.209875
90.0382510.32230.374082
10-0.074946-0.63150.26487
110.0950250.80070.212989
120.0207230.17460.430939
130.0035690.03010.488047
14-0.144419-1.21690.113836
150.0300230.2530.400508
160.147441.24230.109098
17-0.213522-1.79920.038121
180.1039440.87580.192034
19-0.156748-1.32080.095407
200.0562220.47370.318573
21-0.052137-0.43930.330885
220.1302681.09770.138031
23-0.08718-0.73460.232505
24-0.113154-0.95350.171798
250.1085140.91440.181814
260.030720.25890.398249
270.0569320.47970.31645
28-0.06533-0.55050.291859
29-0.095531-0.8050.211766
300.0394040.3320.370425
310.1266231.06690.144805
32-0.074164-0.62490.267014
330.0913350.76960.222044
34-0.052304-0.44070.330377
350.0520660.43870.3311
36-0.143638-1.21030.115087
370.086850.73180.233346
380.1389111.17050.12286
39-0.069594-0.58640.279729
400.0079470.0670.473399
41-0.117929-0.99370.161875
420.1213791.02280.154947
430.0302940.25530.39963
44-0.052829-0.44510.328786
45-0.026616-0.22430.411595
46-0.100061-0.84310.200995
470.0650710.54830.292603
48-0.034834-0.29350.384991







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.339707-2.86240.002761
2-0.116684-0.98320.164425
3-0.230802-1.94480.027882
4-0.032044-0.270.393968
50.1008270.84960.199206
60.0294940.24850.402223
70.1219611.02770.153799
8-0.002094-0.01760.492987
9-0.004717-0.03970.484204
10-0.081371-0.68560.247584
110.0044220.03730.48519
120.0524650.44210.329889
130.0450380.37950.352726
14-0.114398-0.96390.169176
15-0.04938-0.41610.339302
160.1227341.03420.152282
17-0.20376-1.71690.045177
18-0.018561-0.15640.438083
19-0.115981-0.97730.165876
20-0.141664-1.19370.118288
21-0.07049-0.5940.277214
220.0942520.79420.214869
23-0.030114-0.25370.400211
24-0.129708-1.09290.139057
250.074090.62430.267218
260.1122560.94590.173707
270.0481660.40590.343036
280.0433730.36550.357923
29-0.102509-0.86380.195315
30-0.007258-0.06120.475702
310.0879730.74130.230487
32-0.048722-0.41050.341323
330.1316331.10920.135552
34-0.005887-0.04960.480288
350.0892380.75190.227288
36-0.112282-0.94610.173651
37-0.090252-0.76050.224744
380.0439110.370.356242
390.0333130.28070.389879
400.0575410.48490.314637
41-0.074304-0.62610.266628
420.0581850.49030.312724
430.0532560.44870.327493
44-0.063611-0.5360.296818
450.0466520.39310.347713
46-0.204805-1.72570.044374
47-0.084739-0.7140.238776
48-0.023892-0.20130.420513

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.339707 & -2.8624 & 0.002761 \tabularnewline
2 & -0.116684 & -0.9832 & 0.164425 \tabularnewline
3 & -0.230802 & -1.9448 & 0.027882 \tabularnewline
4 & -0.032044 & -0.27 & 0.393968 \tabularnewline
5 & 0.100827 & 0.8496 & 0.199206 \tabularnewline
6 & 0.029494 & 0.2485 & 0.402223 \tabularnewline
7 & 0.121961 & 1.0277 & 0.153799 \tabularnewline
8 & -0.002094 & -0.0176 & 0.492987 \tabularnewline
9 & -0.004717 & -0.0397 & 0.484204 \tabularnewline
10 & -0.081371 & -0.6856 & 0.247584 \tabularnewline
11 & 0.004422 & 0.0373 & 0.48519 \tabularnewline
12 & 0.052465 & 0.4421 & 0.329889 \tabularnewline
13 & 0.045038 & 0.3795 & 0.352726 \tabularnewline
14 & -0.114398 & -0.9639 & 0.169176 \tabularnewline
15 & -0.04938 & -0.4161 & 0.339302 \tabularnewline
16 & 0.122734 & 1.0342 & 0.152282 \tabularnewline
17 & -0.20376 & -1.7169 & 0.045177 \tabularnewline
18 & -0.018561 & -0.1564 & 0.438083 \tabularnewline
19 & -0.115981 & -0.9773 & 0.165876 \tabularnewline
20 & -0.141664 & -1.1937 & 0.118288 \tabularnewline
21 & -0.07049 & -0.594 & 0.277214 \tabularnewline
22 & 0.094252 & 0.7942 & 0.214869 \tabularnewline
23 & -0.030114 & -0.2537 & 0.400211 \tabularnewline
24 & -0.129708 & -1.0929 & 0.139057 \tabularnewline
25 & 0.07409 & 0.6243 & 0.267218 \tabularnewline
26 & 0.112256 & 0.9459 & 0.173707 \tabularnewline
27 & 0.048166 & 0.4059 & 0.343036 \tabularnewline
28 & 0.043373 & 0.3655 & 0.357923 \tabularnewline
29 & -0.102509 & -0.8638 & 0.195315 \tabularnewline
30 & -0.007258 & -0.0612 & 0.475702 \tabularnewline
31 & 0.087973 & 0.7413 & 0.230487 \tabularnewline
32 & -0.048722 & -0.4105 & 0.341323 \tabularnewline
33 & 0.131633 & 1.1092 & 0.135552 \tabularnewline
34 & -0.005887 & -0.0496 & 0.480288 \tabularnewline
35 & 0.089238 & 0.7519 & 0.227288 \tabularnewline
36 & -0.112282 & -0.9461 & 0.173651 \tabularnewline
37 & -0.090252 & -0.7605 & 0.224744 \tabularnewline
38 & 0.043911 & 0.37 & 0.356242 \tabularnewline
39 & 0.033313 & 0.2807 & 0.389879 \tabularnewline
40 & 0.057541 & 0.4849 & 0.314637 \tabularnewline
41 & -0.074304 & -0.6261 & 0.266628 \tabularnewline
42 & 0.058185 & 0.4903 & 0.312724 \tabularnewline
43 & 0.053256 & 0.4487 & 0.327493 \tabularnewline
44 & -0.063611 & -0.536 & 0.296818 \tabularnewline
45 & 0.046652 & 0.3931 & 0.347713 \tabularnewline
46 & -0.204805 & -1.7257 & 0.044374 \tabularnewline
47 & -0.084739 & -0.714 & 0.238776 \tabularnewline
48 & -0.023892 & -0.2013 & 0.420513 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41727&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]-0.339707[/C][C]-2.8624[/C][C]0.002761[/C][/ROW]
[ROW][C]2[/C][C]-0.116684[/C][C]-0.9832[/C][C]0.164425[/C][/ROW]
[ROW][C]3[/C][C]-0.230802[/C][C]-1.9448[/C][C]0.027882[/C][/ROW]
[ROW][C]4[/C][C]-0.032044[/C][C]-0.27[/C][C]0.393968[/C][/ROW]
[ROW][C]5[/C][C]0.100827[/C][C]0.8496[/C][C]0.199206[/C][/ROW]
[ROW][C]6[/C][C]0.029494[/C][C]0.2485[/C][C]0.402223[/C][/ROW]
[ROW][C]7[/C][C]0.121961[/C][C]1.0277[/C][C]0.153799[/C][/ROW]
[ROW][C]8[/C][C]-0.002094[/C][C]-0.0176[/C][C]0.492987[/C][/ROW]
[ROW][C]9[/C][C]-0.004717[/C][C]-0.0397[/C][C]0.484204[/C][/ROW]
[ROW][C]10[/C][C]-0.081371[/C][C]-0.6856[/C][C]0.247584[/C][/ROW]
[ROW][C]11[/C][C]0.004422[/C][C]0.0373[/C][C]0.48519[/C][/ROW]
[ROW][C]12[/C][C]0.052465[/C][C]0.4421[/C][C]0.329889[/C][/ROW]
[ROW][C]13[/C][C]0.045038[/C][C]0.3795[/C][C]0.352726[/C][/ROW]
[ROW][C]14[/C][C]-0.114398[/C][C]-0.9639[/C][C]0.169176[/C][/ROW]
[ROW][C]15[/C][C]-0.04938[/C][C]-0.4161[/C][C]0.339302[/C][/ROW]
[ROW][C]16[/C][C]0.122734[/C][C]1.0342[/C][C]0.152282[/C][/ROW]
[ROW][C]17[/C][C]-0.20376[/C][C]-1.7169[/C][C]0.045177[/C][/ROW]
[ROW][C]18[/C][C]-0.018561[/C][C]-0.1564[/C][C]0.438083[/C][/ROW]
[ROW][C]19[/C][C]-0.115981[/C][C]-0.9773[/C][C]0.165876[/C][/ROW]
[ROW][C]20[/C][C]-0.141664[/C][C]-1.1937[/C][C]0.118288[/C][/ROW]
[ROW][C]21[/C][C]-0.07049[/C][C]-0.594[/C][C]0.277214[/C][/ROW]
[ROW][C]22[/C][C]0.094252[/C][C]0.7942[/C][C]0.214869[/C][/ROW]
[ROW][C]23[/C][C]-0.030114[/C][C]-0.2537[/C][C]0.400211[/C][/ROW]
[ROW][C]24[/C][C]-0.129708[/C][C]-1.0929[/C][C]0.139057[/C][/ROW]
[ROW][C]25[/C][C]0.07409[/C][C]0.6243[/C][C]0.267218[/C][/ROW]
[ROW][C]26[/C][C]0.112256[/C][C]0.9459[/C][C]0.173707[/C][/ROW]
[ROW][C]27[/C][C]0.048166[/C][C]0.4059[/C][C]0.343036[/C][/ROW]
[ROW][C]28[/C][C]0.043373[/C][C]0.3655[/C][C]0.357923[/C][/ROW]
[ROW][C]29[/C][C]-0.102509[/C][C]-0.8638[/C][C]0.195315[/C][/ROW]
[ROW][C]30[/C][C]-0.007258[/C][C]-0.0612[/C][C]0.475702[/C][/ROW]
[ROW][C]31[/C][C]0.087973[/C][C]0.7413[/C][C]0.230487[/C][/ROW]
[ROW][C]32[/C][C]-0.048722[/C][C]-0.4105[/C][C]0.341323[/C][/ROW]
[ROW][C]33[/C][C]0.131633[/C][C]1.1092[/C][C]0.135552[/C][/ROW]
[ROW][C]34[/C][C]-0.005887[/C][C]-0.0496[/C][C]0.480288[/C][/ROW]
[ROW][C]35[/C][C]0.089238[/C][C]0.7519[/C][C]0.227288[/C][/ROW]
[ROW][C]36[/C][C]-0.112282[/C][C]-0.9461[/C][C]0.173651[/C][/ROW]
[ROW][C]37[/C][C]-0.090252[/C][C]-0.7605[/C][C]0.224744[/C][/ROW]
[ROW][C]38[/C][C]0.043911[/C][C]0.37[/C][C]0.356242[/C][/ROW]
[ROW][C]39[/C][C]0.033313[/C][C]0.2807[/C][C]0.389879[/C][/ROW]
[ROW][C]40[/C][C]0.057541[/C][C]0.4849[/C][C]0.314637[/C][/ROW]
[ROW][C]41[/C][C]-0.074304[/C][C]-0.6261[/C][C]0.266628[/C][/ROW]
[ROW][C]42[/C][C]0.058185[/C][C]0.4903[/C][C]0.312724[/C][/ROW]
[ROW][C]43[/C][C]0.053256[/C][C]0.4487[/C][C]0.327493[/C][/ROW]
[ROW][C]44[/C][C]-0.063611[/C][C]-0.536[/C][C]0.296818[/C][/ROW]
[ROW][C]45[/C][C]0.046652[/C][C]0.3931[/C][C]0.347713[/C][/ROW]
[ROW][C]46[/C][C]-0.204805[/C][C]-1.7257[/C][C]0.044374[/C][/ROW]
[ROW][C]47[/C][C]-0.084739[/C][C]-0.714[/C][C]0.238776[/C][/ROW]
[ROW][C]48[/C][C]-0.023892[/C][C]-0.2013[/C][C]0.420513[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41727&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41727&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
1-0.339707-2.86240.002761
2-0.116684-0.98320.164425
3-0.230802-1.94480.027882
4-0.032044-0.270.393968
50.1008270.84960.199206
60.0294940.24850.402223
70.1219611.02770.153799
8-0.002094-0.01760.492987
9-0.004717-0.03970.484204
10-0.081371-0.68560.247584
110.0044220.03730.48519
120.0524650.44210.329889
130.0450380.37950.352726
14-0.114398-0.96390.169176
15-0.04938-0.41610.339302
160.1227341.03420.152282
17-0.20376-1.71690.045177
18-0.018561-0.15640.438083
19-0.115981-0.97730.165876
20-0.141664-1.19370.118288
21-0.07049-0.5940.277214
220.0942520.79420.214869
23-0.030114-0.25370.400211
24-0.129708-1.09290.139057
250.074090.62430.267218
260.1122560.94590.173707
270.0481660.40590.343036
280.0433730.36550.357923
29-0.102509-0.86380.195315
30-0.007258-0.06120.475702
310.0879730.74130.230487
32-0.048722-0.41050.341323
330.1316331.10920.135552
34-0.005887-0.04960.480288
350.0892380.75190.227288
36-0.112282-0.94610.173651
37-0.090252-0.76050.224744
380.0439110.370.356242
390.0333130.28070.389879
400.0575410.48490.314637
41-0.074304-0.62610.266628
420.0581850.49030.312724
430.0532560.44870.327493
44-0.063611-0.5360.296818
450.0466520.39310.347713
46-0.204805-1.72570.044374
47-0.084739-0.7140.238776
48-0.023892-0.20130.420513



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')