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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 18 May 2009 23:36:41 -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/19/t12427114823lqacxoimq1atnm.htm/, Retrieved Sat, 04 May 2024 09:43:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40211, Retrieved Sat, 04 May 2024 09:43:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact222
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelation F...] [2009-05-07 18:15:58] [74be16979710d4c4e7c6647856088456]
-   PD    [(Partial) Autocorrelation Function] [Autocorrelatie Di...] [2009-05-19 05:36:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
4.2
4.19
4.19
4.19
4.19
4.18
4.2
4.19
4.17
4.21
4.22
4.23
4.21
4.23
4.23
4.22
4.25
4.28
4.3
4.32
4.33
4.32
4.34
4.33
4.31
4.31
4.3
4.3
4.29
4.33
4.32
4.32
4.35
4.37
4.39
4.4
4.41
4.44
4.47
4.47
4.47
4.48
4.47
4.48
4.46
4.44
4.43
4.41
4.41
4.38
4.35
4.37
4.4
4.39
4.36
4.34
4.33
4.33
4.34
4.34
4.35
4.37
4.39
4.4
4.38
4.37
4.36
4.33
4.33
4.33
4.32
4.33
4.34




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=40211&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=40211&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40211&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
10.2336761.98280.025602
20.0474130.40230.344323
30.1740461.47680.072041
40.0781040.66270.254807
50.0314410.26680.395199
6-0.083629-0.70960.240117
7-0.053652-0.45530.325149
8-0.156814-1.33060.093758
90.0317650.26950.394146
100.0379260.32180.374263
11-0.023432-0.19880.421479
12-0.151296-1.28380.101665
13-0.094083-0.79830.213654
14-0.03497-0.29670.383762
15-0.103549-0.87860.191259
160.022070.18730.425987
17-0.135944-1.15350.126256
180.0143780.1220.451619
190.1683731.42870.078708
200.2001241.69810.046903
210.0193080.16380.435161
220.0272430.23120.408922
230.2105011.78620.039142
240.046280.39270.347851
250.0233050.19780.421898
26-0.025132-0.21320.415868
27-0.085476-0.72530.235312
28-0.070067-0.59450.277007
29-0.036543-0.31010.378698
30-0.091441-0.77590.220174
31-0.128983-1.09450.138701
32-0.080005-0.67890.249701
33-0.128568-1.09090.139469
34-0.031198-0.26470.395989
35-0.077988-0.66180.255121
36-0.14302-1.21360.11444
37-0.125964-1.06880.144356
38-0.13171-1.11760.133727
390.0158240.13430.446781
40-0.032739-0.27780.39098
410.02080.17650.430201
420.1656741.40580.082043
430.1244581.05610.147235
440.0029280.02480.490125
45-0.013586-0.11530.454271
460.0309590.26270.396768
47-0.053962-0.45790.324209
48-0.081496-0.69150.245731

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.233676 & 1.9828 & 0.025602 \tabularnewline
2 & 0.047413 & 0.4023 & 0.344323 \tabularnewline
3 & 0.174046 & 1.4768 & 0.072041 \tabularnewline
4 & 0.078104 & 0.6627 & 0.254807 \tabularnewline
5 & 0.031441 & 0.2668 & 0.395199 \tabularnewline
6 & -0.083629 & -0.7096 & 0.240117 \tabularnewline
7 & -0.053652 & -0.4553 & 0.325149 \tabularnewline
8 & -0.156814 & -1.3306 & 0.093758 \tabularnewline
9 & 0.031765 & 0.2695 & 0.394146 \tabularnewline
10 & 0.037926 & 0.3218 & 0.374263 \tabularnewline
11 & -0.023432 & -0.1988 & 0.421479 \tabularnewline
12 & -0.151296 & -1.2838 & 0.101665 \tabularnewline
13 & -0.094083 & -0.7983 & 0.213654 \tabularnewline
14 & -0.03497 & -0.2967 & 0.383762 \tabularnewline
15 & -0.103549 & -0.8786 & 0.191259 \tabularnewline
16 & 0.02207 & 0.1873 & 0.425987 \tabularnewline
17 & -0.135944 & -1.1535 & 0.126256 \tabularnewline
18 & 0.014378 & 0.122 & 0.451619 \tabularnewline
19 & 0.168373 & 1.4287 & 0.078708 \tabularnewline
20 & 0.200124 & 1.6981 & 0.046903 \tabularnewline
21 & 0.019308 & 0.1638 & 0.435161 \tabularnewline
22 & 0.027243 & 0.2312 & 0.408922 \tabularnewline
23 & 0.210501 & 1.7862 & 0.039142 \tabularnewline
24 & 0.04628 & 0.3927 & 0.347851 \tabularnewline
25 & 0.023305 & 0.1978 & 0.421898 \tabularnewline
26 & -0.025132 & -0.2132 & 0.415868 \tabularnewline
27 & -0.085476 & -0.7253 & 0.235312 \tabularnewline
28 & -0.070067 & -0.5945 & 0.277007 \tabularnewline
29 & -0.036543 & -0.3101 & 0.378698 \tabularnewline
30 & -0.091441 & -0.7759 & 0.220174 \tabularnewline
31 & -0.128983 & -1.0945 & 0.138701 \tabularnewline
32 & -0.080005 & -0.6789 & 0.249701 \tabularnewline
33 & -0.128568 & -1.0909 & 0.139469 \tabularnewline
34 & -0.031198 & -0.2647 & 0.395989 \tabularnewline
35 & -0.077988 & -0.6618 & 0.255121 \tabularnewline
36 & -0.14302 & -1.2136 & 0.11444 \tabularnewline
37 & -0.125964 & -1.0688 & 0.144356 \tabularnewline
38 & -0.13171 & -1.1176 & 0.133727 \tabularnewline
39 & 0.015824 & 0.1343 & 0.446781 \tabularnewline
40 & -0.032739 & -0.2778 & 0.39098 \tabularnewline
41 & 0.0208 & 0.1765 & 0.430201 \tabularnewline
42 & 0.165674 & 1.4058 & 0.082043 \tabularnewline
43 & 0.124458 & 1.0561 & 0.147235 \tabularnewline
44 & 0.002928 & 0.0248 & 0.490125 \tabularnewline
45 & -0.013586 & -0.1153 & 0.454271 \tabularnewline
46 & 0.030959 & 0.2627 & 0.396768 \tabularnewline
47 & -0.053962 & -0.4579 & 0.324209 \tabularnewline
48 & -0.081496 & -0.6915 & 0.245731 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40211&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]0.233676[/C][C]1.9828[/C][C]0.025602[/C][/ROW]
[ROW][C]2[/C][C]0.047413[/C][C]0.4023[/C][C]0.344323[/C][/ROW]
[ROW][C]3[/C][C]0.174046[/C][C]1.4768[/C][C]0.072041[/C][/ROW]
[ROW][C]4[/C][C]0.078104[/C][C]0.6627[/C][C]0.254807[/C][/ROW]
[ROW][C]5[/C][C]0.031441[/C][C]0.2668[/C][C]0.395199[/C][/ROW]
[ROW][C]6[/C][C]-0.083629[/C][C]-0.7096[/C][C]0.240117[/C][/ROW]
[ROW][C]7[/C][C]-0.053652[/C][C]-0.4553[/C][C]0.325149[/C][/ROW]
[ROW][C]8[/C][C]-0.156814[/C][C]-1.3306[/C][C]0.093758[/C][/ROW]
[ROW][C]9[/C][C]0.031765[/C][C]0.2695[/C][C]0.394146[/C][/ROW]
[ROW][C]10[/C][C]0.037926[/C][C]0.3218[/C][C]0.374263[/C][/ROW]
[ROW][C]11[/C][C]-0.023432[/C][C]-0.1988[/C][C]0.421479[/C][/ROW]
[ROW][C]12[/C][C]-0.151296[/C][C]-1.2838[/C][C]0.101665[/C][/ROW]
[ROW][C]13[/C][C]-0.094083[/C][C]-0.7983[/C][C]0.213654[/C][/ROW]
[ROW][C]14[/C][C]-0.03497[/C][C]-0.2967[/C][C]0.383762[/C][/ROW]
[ROW][C]15[/C][C]-0.103549[/C][C]-0.8786[/C][C]0.191259[/C][/ROW]
[ROW][C]16[/C][C]0.02207[/C][C]0.1873[/C][C]0.425987[/C][/ROW]
[ROW][C]17[/C][C]-0.135944[/C][C]-1.1535[/C][C]0.126256[/C][/ROW]
[ROW][C]18[/C][C]0.014378[/C][C]0.122[/C][C]0.451619[/C][/ROW]
[ROW][C]19[/C][C]0.168373[/C][C]1.4287[/C][C]0.078708[/C][/ROW]
[ROW][C]20[/C][C]0.200124[/C][C]1.6981[/C][C]0.046903[/C][/ROW]
[ROW][C]21[/C][C]0.019308[/C][C]0.1638[/C][C]0.435161[/C][/ROW]
[ROW][C]22[/C][C]0.027243[/C][C]0.2312[/C][C]0.408922[/C][/ROW]
[ROW][C]23[/C][C]0.210501[/C][C]1.7862[/C][C]0.039142[/C][/ROW]
[ROW][C]24[/C][C]0.04628[/C][C]0.3927[/C][C]0.347851[/C][/ROW]
[ROW][C]25[/C][C]0.023305[/C][C]0.1978[/C][C]0.421898[/C][/ROW]
[ROW][C]26[/C][C]-0.025132[/C][C]-0.2132[/C][C]0.415868[/C][/ROW]
[ROW][C]27[/C][C]-0.085476[/C][C]-0.7253[/C][C]0.235312[/C][/ROW]
[ROW][C]28[/C][C]-0.070067[/C][C]-0.5945[/C][C]0.277007[/C][/ROW]
[ROW][C]29[/C][C]-0.036543[/C][C]-0.3101[/C][C]0.378698[/C][/ROW]
[ROW][C]30[/C][C]-0.091441[/C][C]-0.7759[/C][C]0.220174[/C][/ROW]
[ROW][C]31[/C][C]-0.128983[/C][C]-1.0945[/C][C]0.138701[/C][/ROW]
[ROW][C]32[/C][C]-0.080005[/C][C]-0.6789[/C][C]0.249701[/C][/ROW]
[ROW][C]33[/C][C]-0.128568[/C][C]-1.0909[/C][C]0.139469[/C][/ROW]
[ROW][C]34[/C][C]-0.031198[/C][C]-0.2647[/C][C]0.395989[/C][/ROW]
[ROW][C]35[/C][C]-0.077988[/C][C]-0.6618[/C][C]0.255121[/C][/ROW]
[ROW][C]36[/C][C]-0.14302[/C][C]-1.2136[/C][C]0.11444[/C][/ROW]
[ROW][C]37[/C][C]-0.125964[/C][C]-1.0688[/C][C]0.144356[/C][/ROW]
[ROW][C]38[/C][C]-0.13171[/C][C]-1.1176[/C][C]0.133727[/C][/ROW]
[ROW][C]39[/C][C]0.015824[/C][C]0.1343[/C][C]0.446781[/C][/ROW]
[ROW][C]40[/C][C]-0.032739[/C][C]-0.2778[/C][C]0.39098[/C][/ROW]
[ROW][C]41[/C][C]0.0208[/C][C]0.1765[/C][C]0.430201[/C][/ROW]
[ROW][C]42[/C][C]0.165674[/C][C]1.4058[/C][C]0.082043[/C][/ROW]
[ROW][C]43[/C][C]0.124458[/C][C]1.0561[/C][C]0.147235[/C][/ROW]
[ROW][C]44[/C][C]0.002928[/C][C]0.0248[/C][C]0.490125[/C][/ROW]
[ROW][C]45[/C][C]-0.013586[/C][C]-0.1153[/C][C]0.454271[/C][/ROW]
[ROW][C]46[/C][C]0.030959[/C][C]0.2627[/C][C]0.396768[/C][/ROW]
[ROW][C]47[/C][C]-0.053962[/C][C]-0.4579[/C][C]0.324209[/C][/ROW]
[ROW][C]48[/C][C]-0.081496[/C][C]-0.6915[/C][C]0.245731[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40211&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40211&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
10.2336761.98280.025602
20.0474130.40230.344323
30.1740461.47680.072041
40.0781040.66270.254807
50.0314410.26680.395199
6-0.083629-0.70960.240117
7-0.053652-0.45530.325149
8-0.156814-1.33060.093758
90.0317650.26950.394146
100.0379260.32180.374263
11-0.023432-0.19880.421479
12-0.151296-1.28380.101665
13-0.094083-0.79830.213654
14-0.03497-0.29670.383762
15-0.103549-0.87860.191259
160.022070.18730.425987
17-0.135944-1.15350.126256
180.0143780.1220.451619
190.1683731.42870.078708
200.2001241.69810.046903
210.0193080.16380.435161
220.0272430.23120.408922
230.2105011.78620.039142
240.046280.39270.347851
250.0233050.19780.421898
26-0.025132-0.21320.415868
27-0.085476-0.72530.235312
28-0.070067-0.59450.277007
29-0.036543-0.31010.378698
30-0.091441-0.77590.220174
31-0.128983-1.09450.138701
32-0.080005-0.67890.249701
33-0.128568-1.09090.139469
34-0.031198-0.26470.395989
35-0.077988-0.66180.255121
36-0.14302-1.21360.11444
37-0.125964-1.06880.144356
38-0.13171-1.11760.133727
390.0158240.13430.446781
40-0.032739-0.27780.39098
410.02080.17650.430201
420.1656741.40580.082043
430.1244581.05610.147235
440.0029280.02480.490125
45-0.013586-0.11530.454271
460.0309590.26270.396768
47-0.053962-0.45790.324209
48-0.081496-0.69150.245731







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2336761.98280.025602
2-0.007607-0.06450.474357
30.174181.4780.071889
4-0.001639-0.01390.494471
50.0147350.1250.450423
6-0.131797-1.11830.133571
7-0.018696-0.15860.437197
8-0.168196-1.42720.078924
90.1575581.33690.092728
100.007050.05980.476233
110.0464750.39440.347244
12-0.217783-1.84790.034359
13-0.018831-0.15980.43675
14-0.09016-0.7650.223377
150.0045710.03880.484583
160.074440.63160.264811
17-0.102514-0.86990.193634
180.0912740.77450.220591
190.1133110.96150.169765
200.1540831.30740.097611
21-0.116338-0.98720.163434
220.0484640.41120.341063
230.0866750.73550.232225
240.0037460.03180.487366
25-0.037992-0.32240.374052
26-0.014116-0.11980.452497
27-0.101932-0.86490.194976
28-0.002373-0.02010.491996
29-0.08498-0.72110.236599
30-0.063515-0.53890.295794
310.0051620.04380.482593
32-0.021363-0.18130.428331
33-0.086355-0.73270.233046
340.0175620.1490.440979
35-0.025868-0.21950.413442
36-0.08456-0.71750.237689
37-0.045322-0.38460.350844
38-0.152968-1.2980.09922
390.0330140.28010.39009
40-0.010666-0.09050.46407
410.0904470.76750.222656
420.0919580.78030.218888
430.0054810.04650.481516
44-0.149352-1.26730.104567
45-0.102691-0.87140.193226
46-0.022958-0.19480.423047
47-0.001739-0.01480.494134
48-0.048418-0.41080.341205

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.233676 & 1.9828 & 0.025602 \tabularnewline
2 & -0.007607 & -0.0645 & 0.474357 \tabularnewline
3 & 0.17418 & 1.478 & 0.071889 \tabularnewline
4 & -0.001639 & -0.0139 & 0.494471 \tabularnewline
5 & 0.014735 & 0.125 & 0.450423 \tabularnewline
6 & -0.131797 & -1.1183 & 0.133571 \tabularnewline
7 & -0.018696 & -0.1586 & 0.437197 \tabularnewline
8 & -0.168196 & -1.4272 & 0.078924 \tabularnewline
9 & 0.157558 & 1.3369 & 0.092728 \tabularnewline
10 & 0.00705 & 0.0598 & 0.476233 \tabularnewline
11 & 0.046475 & 0.3944 & 0.347244 \tabularnewline
12 & -0.217783 & -1.8479 & 0.034359 \tabularnewline
13 & -0.018831 & -0.1598 & 0.43675 \tabularnewline
14 & -0.09016 & -0.765 & 0.223377 \tabularnewline
15 & 0.004571 & 0.0388 & 0.484583 \tabularnewline
16 & 0.07444 & 0.6316 & 0.264811 \tabularnewline
17 & -0.102514 & -0.8699 & 0.193634 \tabularnewline
18 & 0.091274 & 0.7745 & 0.220591 \tabularnewline
19 & 0.113311 & 0.9615 & 0.169765 \tabularnewline
20 & 0.154083 & 1.3074 & 0.097611 \tabularnewline
21 & -0.116338 & -0.9872 & 0.163434 \tabularnewline
22 & 0.048464 & 0.4112 & 0.341063 \tabularnewline
23 & 0.086675 & 0.7355 & 0.232225 \tabularnewline
24 & 0.003746 & 0.0318 & 0.487366 \tabularnewline
25 & -0.037992 & -0.3224 & 0.374052 \tabularnewline
26 & -0.014116 & -0.1198 & 0.452497 \tabularnewline
27 & -0.101932 & -0.8649 & 0.194976 \tabularnewline
28 & -0.002373 & -0.0201 & 0.491996 \tabularnewline
29 & -0.08498 & -0.7211 & 0.236599 \tabularnewline
30 & -0.063515 & -0.5389 & 0.295794 \tabularnewline
31 & 0.005162 & 0.0438 & 0.482593 \tabularnewline
32 & -0.021363 & -0.1813 & 0.428331 \tabularnewline
33 & -0.086355 & -0.7327 & 0.233046 \tabularnewline
34 & 0.017562 & 0.149 & 0.440979 \tabularnewline
35 & -0.025868 & -0.2195 & 0.413442 \tabularnewline
36 & -0.08456 & -0.7175 & 0.237689 \tabularnewline
37 & -0.045322 & -0.3846 & 0.350844 \tabularnewline
38 & -0.152968 & -1.298 & 0.09922 \tabularnewline
39 & 0.033014 & 0.2801 & 0.39009 \tabularnewline
40 & -0.010666 & -0.0905 & 0.46407 \tabularnewline
41 & 0.090447 & 0.7675 & 0.222656 \tabularnewline
42 & 0.091958 & 0.7803 & 0.218888 \tabularnewline
43 & 0.005481 & 0.0465 & 0.481516 \tabularnewline
44 & -0.149352 & -1.2673 & 0.104567 \tabularnewline
45 & -0.102691 & -0.8714 & 0.193226 \tabularnewline
46 & -0.022958 & -0.1948 & 0.423047 \tabularnewline
47 & -0.001739 & -0.0148 & 0.494134 \tabularnewline
48 & -0.048418 & -0.4108 & 0.341205 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40211&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]0.233676[/C][C]1.9828[/C][C]0.025602[/C][/ROW]
[ROW][C]2[/C][C]-0.007607[/C][C]-0.0645[/C][C]0.474357[/C][/ROW]
[ROW][C]3[/C][C]0.17418[/C][C]1.478[/C][C]0.071889[/C][/ROW]
[ROW][C]4[/C][C]-0.001639[/C][C]-0.0139[/C][C]0.494471[/C][/ROW]
[ROW][C]5[/C][C]0.014735[/C][C]0.125[/C][C]0.450423[/C][/ROW]
[ROW][C]6[/C][C]-0.131797[/C][C]-1.1183[/C][C]0.133571[/C][/ROW]
[ROW][C]7[/C][C]-0.018696[/C][C]-0.1586[/C][C]0.437197[/C][/ROW]
[ROW][C]8[/C][C]-0.168196[/C][C]-1.4272[/C][C]0.078924[/C][/ROW]
[ROW][C]9[/C][C]0.157558[/C][C]1.3369[/C][C]0.092728[/C][/ROW]
[ROW][C]10[/C][C]0.00705[/C][C]0.0598[/C][C]0.476233[/C][/ROW]
[ROW][C]11[/C][C]0.046475[/C][C]0.3944[/C][C]0.347244[/C][/ROW]
[ROW][C]12[/C][C]-0.217783[/C][C]-1.8479[/C][C]0.034359[/C][/ROW]
[ROW][C]13[/C][C]-0.018831[/C][C]-0.1598[/C][C]0.43675[/C][/ROW]
[ROW][C]14[/C][C]-0.09016[/C][C]-0.765[/C][C]0.223377[/C][/ROW]
[ROW][C]15[/C][C]0.004571[/C][C]0.0388[/C][C]0.484583[/C][/ROW]
[ROW][C]16[/C][C]0.07444[/C][C]0.6316[/C][C]0.264811[/C][/ROW]
[ROW][C]17[/C][C]-0.102514[/C][C]-0.8699[/C][C]0.193634[/C][/ROW]
[ROW][C]18[/C][C]0.091274[/C][C]0.7745[/C][C]0.220591[/C][/ROW]
[ROW][C]19[/C][C]0.113311[/C][C]0.9615[/C][C]0.169765[/C][/ROW]
[ROW][C]20[/C][C]0.154083[/C][C]1.3074[/C][C]0.097611[/C][/ROW]
[ROW][C]21[/C][C]-0.116338[/C][C]-0.9872[/C][C]0.163434[/C][/ROW]
[ROW][C]22[/C][C]0.048464[/C][C]0.4112[/C][C]0.341063[/C][/ROW]
[ROW][C]23[/C][C]0.086675[/C][C]0.7355[/C][C]0.232225[/C][/ROW]
[ROW][C]24[/C][C]0.003746[/C][C]0.0318[/C][C]0.487366[/C][/ROW]
[ROW][C]25[/C][C]-0.037992[/C][C]-0.3224[/C][C]0.374052[/C][/ROW]
[ROW][C]26[/C][C]-0.014116[/C][C]-0.1198[/C][C]0.452497[/C][/ROW]
[ROW][C]27[/C][C]-0.101932[/C][C]-0.8649[/C][C]0.194976[/C][/ROW]
[ROW][C]28[/C][C]-0.002373[/C][C]-0.0201[/C][C]0.491996[/C][/ROW]
[ROW][C]29[/C][C]-0.08498[/C][C]-0.7211[/C][C]0.236599[/C][/ROW]
[ROW][C]30[/C][C]-0.063515[/C][C]-0.5389[/C][C]0.295794[/C][/ROW]
[ROW][C]31[/C][C]0.005162[/C][C]0.0438[/C][C]0.482593[/C][/ROW]
[ROW][C]32[/C][C]-0.021363[/C][C]-0.1813[/C][C]0.428331[/C][/ROW]
[ROW][C]33[/C][C]-0.086355[/C][C]-0.7327[/C][C]0.233046[/C][/ROW]
[ROW][C]34[/C][C]0.017562[/C][C]0.149[/C][C]0.440979[/C][/ROW]
[ROW][C]35[/C][C]-0.025868[/C][C]-0.2195[/C][C]0.413442[/C][/ROW]
[ROW][C]36[/C][C]-0.08456[/C][C]-0.7175[/C][C]0.237689[/C][/ROW]
[ROW][C]37[/C][C]-0.045322[/C][C]-0.3846[/C][C]0.350844[/C][/ROW]
[ROW][C]38[/C][C]-0.152968[/C][C]-1.298[/C][C]0.09922[/C][/ROW]
[ROW][C]39[/C][C]0.033014[/C][C]0.2801[/C][C]0.39009[/C][/ROW]
[ROW][C]40[/C][C]-0.010666[/C][C]-0.0905[/C][C]0.46407[/C][/ROW]
[ROW][C]41[/C][C]0.090447[/C][C]0.7675[/C][C]0.222656[/C][/ROW]
[ROW][C]42[/C][C]0.091958[/C][C]0.7803[/C][C]0.218888[/C][/ROW]
[ROW][C]43[/C][C]0.005481[/C][C]0.0465[/C][C]0.481516[/C][/ROW]
[ROW][C]44[/C][C]-0.149352[/C][C]-1.2673[/C][C]0.104567[/C][/ROW]
[ROW][C]45[/C][C]-0.102691[/C][C]-0.8714[/C][C]0.193226[/C][/ROW]
[ROW][C]46[/C][C]-0.022958[/C][C]-0.1948[/C][C]0.423047[/C][/ROW]
[ROW][C]47[/C][C]-0.001739[/C][C]-0.0148[/C][C]0.494134[/C][/ROW]
[ROW][C]48[/C][C]-0.048418[/C][C]-0.4108[/C][C]0.341205[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40211&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40211&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
10.2336761.98280.025602
2-0.007607-0.06450.474357
30.174181.4780.071889
4-0.001639-0.01390.494471
50.0147350.1250.450423
6-0.131797-1.11830.133571
7-0.018696-0.15860.437197
8-0.168196-1.42720.078924
90.1575581.33690.092728
100.007050.05980.476233
110.0464750.39440.347244
12-0.217783-1.84790.034359
13-0.018831-0.15980.43675
14-0.09016-0.7650.223377
150.0045710.03880.484583
160.074440.63160.264811
17-0.102514-0.86990.193634
180.0912740.77450.220591
190.1133110.96150.169765
200.1540831.30740.097611
21-0.116338-0.98720.163434
220.0484640.41120.341063
230.0866750.73550.232225
240.0037460.03180.487366
25-0.037992-0.32240.374052
26-0.014116-0.11980.452497
27-0.101932-0.86490.194976
28-0.002373-0.02010.491996
29-0.08498-0.72110.236599
30-0.063515-0.53890.295794
310.0051620.04380.482593
32-0.021363-0.18130.428331
33-0.086355-0.73270.233046
340.0175620.1490.440979
35-0.025868-0.21950.413442
36-0.08456-0.71750.237689
37-0.045322-0.38460.350844
38-0.152968-1.2980.09922
390.0330140.28010.39009
40-0.010666-0.09050.46407
410.0904470.76750.222656
420.0919580.78030.218888
430.0054810.04650.481516
44-0.149352-1.26730.104567
45-0.102691-0.87140.193226
46-0.022958-0.19480.423047
47-0.001739-0.01480.494134
48-0.048418-0.41080.341205



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')