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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, 14 Nov 2011 10:43:34 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/14/t1321285465jelr8skjvf6t1zx.htm/, Retrieved Thu, 28 Mar 2024 11:55:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142046, Retrieved Thu, 28 Mar 2024 11:55:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2011-11-14 15:43:34] [c81f0c87bb000ca3e7f952ee43cfaf8d] [Current]
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Dataseries X:
99.96
100.21
100.37
101.11
101.04
101.02
101.02
101.11
100.96
101.27
101.01
101.07
101.07
101.07
101.24
101.29
101.67
101.66
101.66
101.66
101.8
102.32
102.38
102.4
102.39
102.78
102.81
102.82
102.96
102.98
102.98
103.03
103.26
103.47
103.58
103.52
103.52
103.52
103.54
103.74
103.94
103.9
103.9
103.9
103.87
104.51
104.82
104.87
104.87
105.13
105.22
105.02
104.7
104.76
104.76
104.57
104.64
104.72
104.49
104.42




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142046&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142046&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142046&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'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0508470.39060.348764
2-0.038869-0.29860.383162
3-0.066338-0.50950.306134
40.1029810.7910.216052
5-0.011015-0.08460.466431
6-0.002941-0.02260.491028
7-0.010092-0.07750.469238
8-0.048265-0.37070.356084
9-0.108088-0.83020.204874
10-0.182267-1.40.083372
110.0119780.0920.463504
120.0327240.25140.401207
130.009430.07240.471251
14-0.011887-0.09130.463779
15-0.087898-0.67520.251108
16-0.013729-0.10550.458187
170.0401860.30870.379328
180.1450441.11410.134877
19-0.034446-0.26460.396126
200.0390540.30.382623
21-0.050515-0.3880.349701
220.0266790.20490.419168
23-0.023091-0.17740.429914
240.1738411.33530.093454
250.1042520.80080.213237
26-0.103149-0.79230.215679
27-0.134638-1.03420.152638
280.0042270.03250.487103
290.1222120.93870.175849
30-0.017736-0.13620.44605
310.0096630.07420.470541
32-0.041412-0.31810.375769
33-0.039844-0.3060.380324
34-0.082832-0.63620.263539
35-0.132357-1.01670.156734
360.0282580.21710.414456
37-0.042632-0.32750.372239
38-0.068144-0.52340.30132
39-0.067174-0.5160.303901
40-0.005014-0.03850.484704
41-0.051679-0.3970.346418
420.1557941.19670.11811
430.0654050.50240.308632
440.0824590.63340.264467
450.0272930.20960.417336
460.0717680.55130.291768
470.0747830.57440.283935
480.0084320.06480.474288

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.050847 & 0.3906 & 0.348764 \tabularnewline
2 & -0.038869 & -0.2986 & 0.383162 \tabularnewline
3 & -0.066338 & -0.5095 & 0.306134 \tabularnewline
4 & 0.102981 & 0.791 & 0.216052 \tabularnewline
5 & -0.011015 & -0.0846 & 0.466431 \tabularnewline
6 & -0.002941 & -0.0226 & 0.491028 \tabularnewline
7 & -0.010092 & -0.0775 & 0.469238 \tabularnewline
8 & -0.048265 & -0.3707 & 0.356084 \tabularnewline
9 & -0.108088 & -0.8302 & 0.204874 \tabularnewline
10 & -0.182267 & -1.4 & 0.083372 \tabularnewline
11 & 0.011978 & 0.092 & 0.463504 \tabularnewline
12 & 0.032724 & 0.2514 & 0.401207 \tabularnewline
13 & 0.00943 & 0.0724 & 0.471251 \tabularnewline
14 & -0.011887 & -0.0913 & 0.463779 \tabularnewline
15 & -0.087898 & -0.6752 & 0.251108 \tabularnewline
16 & -0.013729 & -0.1055 & 0.458187 \tabularnewline
17 & 0.040186 & 0.3087 & 0.379328 \tabularnewline
18 & 0.145044 & 1.1141 & 0.134877 \tabularnewline
19 & -0.034446 & -0.2646 & 0.396126 \tabularnewline
20 & 0.039054 & 0.3 & 0.382623 \tabularnewline
21 & -0.050515 & -0.388 & 0.349701 \tabularnewline
22 & 0.026679 & 0.2049 & 0.419168 \tabularnewline
23 & -0.023091 & -0.1774 & 0.429914 \tabularnewline
24 & 0.173841 & 1.3353 & 0.093454 \tabularnewline
25 & 0.104252 & 0.8008 & 0.213237 \tabularnewline
26 & -0.103149 & -0.7923 & 0.215679 \tabularnewline
27 & -0.134638 & -1.0342 & 0.152638 \tabularnewline
28 & 0.004227 & 0.0325 & 0.487103 \tabularnewline
29 & 0.122212 & 0.9387 & 0.175849 \tabularnewline
30 & -0.017736 & -0.1362 & 0.44605 \tabularnewline
31 & 0.009663 & 0.0742 & 0.470541 \tabularnewline
32 & -0.041412 & -0.3181 & 0.375769 \tabularnewline
33 & -0.039844 & -0.306 & 0.380324 \tabularnewline
34 & -0.082832 & -0.6362 & 0.263539 \tabularnewline
35 & -0.132357 & -1.0167 & 0.156734 \tabularnewline
36 & 0.028258 & 0.2171 & 0.414456 \tabularnewline
37 & -0.042632 & -0.3275 & 0.372239 \tabularnewline
38 & -0.068144 & -0.5234 & 0.30132 \tabularnewline
39 & -0.067174 & -0.516 & 0.303901 \tabularnewline
40 & -0.005014 & -0.0385 & 0.484704 \tabularnewline
41 & -0.051679 & -0.397 & 0.346418 \tabularnewline
42 & 0.155794 & 1.1967 & 0.11811 \tabularnewline
43 & 0.065405 & 0.5024 & 0.308632 \tabularnewline
44 & 0.082459 & 0.6334 & 0.264467 \tabularnewline
45 & 0.027293 & 0.2096 & 0.417336 \tabularnewline
46 & 0.071768 & 0.5513 & 0.291768 \tabularnewline
47 & 0.074783 & 0.5744 & 0.283935 \tabularnewline
48 & 0.008432 & 0.0648 & 0.474288 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142046&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]0.050847[/C][C]0.3906[/C][C]0.348764[/C][/ROW]
[ROW][C]2[/C][C]-0.038869[/C][C]-0.2986[/C][C]0.383162[/C][/ROW]
[ROW][C]3[/C][C]-0.066338[/C][C]-0.5095[/C][C]0.306134[/C][/ROW]
[ROW][C]4[/C][C]0.102981[/C][C]0.791[/C][C]0.216052[/C][/ROW]
[ROW][C]5[/C][C]-0.011015[/C][C]-0.0846[/C][C]0.466431[/C][/ROW]
[ROW][C]6[/C][C]-0.002941[/C][C]-0.0226[/C][C]0.491028[/C][/ROW]
[ROW][C]7[/C][C]-0.010092[/C][C]-0.0775[/C][C]0.469238[/C][/ROW]
[ROW][C]8[/C][C]-0.048265[/C][C]-0.3707[/C][C]0.356084[/C][/ROW]
[ROW][C]9[/C][C]-0.108088[/C][C]-0.8302[/C][C]0.204874[/C][/ROW]
[ROW][C]10[/C][C]-0.182267[/C][C]-1.4[/C][C]0.083372[/C][/ROW]
[ROW][C]11[/C][C]0.011978[/C][C]0.092[/C][C]0.463504[/C][/ROW]
[ROW][C]12[/C][C]0.032724[/C][C]0.2514[/C][C]0.401207[/C][/ROW]
[ROW][C]13[/C][C]0.00943[/C][C]0.0724[/C][C]0.471251[/C][/ROW]
[ROW][C]14[/C][C]-0.011887[/C][C]-0.0913[/C][C]0.463779[/C][/ROW]
[ROW][C]15[/C][C]-0.087898[/C][C]-0.6752[/C][C]0.251108[/C][/ROW]
[ROW][C]16[/C][C]-0.013729[/C][C]-0.1055[/C][C]0.458187[/C][/ROW]
[ROW][C]17[/C][C]0.040186[/C][C]0.3087[/C][C]0.379328[/C][/ROW]
[ROW][C]18[/C][C]0.145044[/C][C]1.1141[/C][C]0.134877[/C][/ROW]
[ROW][C]19[/C][C]-0.034446[/C][C]-0.2646[/C][C]0.396126[/C][/ROW]
[ROW][C]20[/C][C]0.039054[/C][C]0.3[/C][C]0.382623[/C][/ROW]
[ROW][C]21[/C][C]-0.050515[/C][C]-0.388[/C][C]0.349701[/C][/ROW]
[ROW][C]22[/C][C]0.026679[/C][C]0.2049[/C][C]0.419168[/C][/ROW]
[ROW][C]23[/C][C]-0.023091[/C][C]-0.1774[/C][C]0.429914[/C][/ROW]
[ROW][C]24[/C][C]0.173841[/C][C]1.3353[/C][C]0.093454[/C][/ROW]
[ROW][C]25[/C][C]0.104252[/C][C]0.8008[/C][C]0.213237[/C][/ROW]
[ROW][C]26[/C][C]-0.103149[/C][C]-0.7923[/C][C]0.215679[/C][/ROW]
[ROW][C]27[/C][C]-0.134638[/C][C]-1.0342[/C][C]0.152638[/C][/ROW]
[ROW][C]28[/C][C]0.004227[/C][C]0.0325[/C][C]0.487103[/C][/ROW]
[ROW][C]29[/C][C]0.122212[/C][C]0.9387[/C][C]0.175849[/C][/ROW]
[ROW][C]30[/C][C]-0.017736[/C][C]-0.1362[/C][C]0.44605[/C][/ROW]
[ROW][C]31[/C][C]0.009663[/C][C]0.0742[/C][C]0.470541[/C][/ROW]
[ROW][C]32[/C][C]-0.041412[/C][C]-0.3181[/C][C]0.375769[/C][/ROW]
[ROW][C]33[/C][C]-0.039844[/C][C]-0.306[/C][C]0.380324[/C][/ROW]
[ROW][C]34[/C][C]-0.082832[/C][C]-0.6362[/C][C]0.263539[/C][/ROW]
[ROW][C]35[/C][C]-0.132357[/C][C]-1.0167[/C][C]0.156734[/C][/ROW]
[ROW][C]36[/C][C]0.028258[/C][C]0.2171[/C][C]0.414456[/C][/ROW]
[ROW][C]37[/C][C]-0.042632[/C][C]-0.3275[/C][C]0.372239[/C][/ROW]
[ROW][C]38[/C][C]-0.068144[/C][C]-0.5234[/C][C]0.30132[/C][/ROW]
[ROW][C]39[/C][C]-0.067174[/C][C]-0.516[/C][C]0.303901[/C][/ROW]
[ROW][C]40[/C][C]-0.005014[/C][C]-0.0385[/C][C]0.484704[/C][/ROW]
[ROW][C]41[/C][C]-0.051679[/C][C]-0.397[/C][C]0.346418[/C][/ROW]
[ROW][C]42[/C][C]0.155794[/C][C]1.1967[/C][C]0.11811[/C][/ROW]
[ROW][C]43[/C][C]0.065405[/C][C]0.5024[/C][C]0.308632[/C][/ROW]
[ROW][C]44[/C][C]0.082459[/C][C]0.6334[/C][C]0.264467[/C][/ROW]
[ROW][C]45[/C][C]0.027293[/C][C]0.2096[/C][C]0.417336[/C][/ROW]
[ROW][C]46[/C][C]0.071768[/C][C]0.5513[/C][C]0.291768[/C][/ROW]
[ROW][C]47[/C][C]0.074783[/C][C]0.5744[/C][C]0.283935[/C][/ROW]
[ROW][C]48[/C][C]0.008432[/C][C]0.0648[/C][C]0.474288[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142046&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142046&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
10.0508470.39060.348764
2-0.038869-0.29860.383162
3-0.066338-0.50950.306134
40.1029810.7910.216052
5-0.011015-0.08460.466431
6-0.002941-0.02260.491028
7-0.010092-0.07750.469238
8-0.048265-0.37070.356084
9-0.108088-0.83020.204874
10-0.182267-1.40.083372
110.0119780.0920.463504
120.0327240.25140.401207
130.009430.07240.471251
14-0.011887-0.09130.463779
15-0.087898-0.67520.251108
16-0.013729-0.10550.458187
170.0401860.30870.379328
180.1450441.11410.134877
19-0.034446-0.26460.396126
200.0390540.30.382623
21-0.050515-0.3880.349701
220.0266790.20490.419168
23-0.023091-0.17740.429914
240.1738411.33530.093454
250.1042520.80080.213237
26-0.103149-0.79230.215679
27-0.134638-1.03420.152638
280.0042270.03250.487103
290.1222120.93870.175849
30-0.017736-0.13620.44605
310.0096630.07420.470541
32-0.041412-0.31810.375769
33-0.039844-0.3060.380324
34-0.082832-0.63620.263539
35-0.132357-1.01670.156734
360.0282580.21710.414456
37-0.042632-0.32750.372239
38-0.068144-0.52340.30132
39-0.067174-0.5160.303901
40-0.005014-0.03850.484704
41-0.051679-0.3970.346418
420.1557941.19670.11811
430.0654050.50240.308632
440.0824590.63340.264467
450.0272930.20960.417336
460.0717680.55130.291768
470.0747830.57440.283935
480.0084320.06480.474288







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0508470.39060.348764
2-0.041562-0.31920.375335
3-0.062435-0.47960.316653
40.1089020.83650.203127
5-0.027897-0.21430.415534
60.0026270.02020.491984
70.0029330.02250.491051
8-0.06315-0.48510.314714
9-0.1001-0.76890.222515
10-0.181169-1.39160.084636
110.0149070.11450.454613
120.0155310.11930.452722
130.0040430.03110.487666
140.0295710.22710.410552
15-0.100672-0.77330.221224
16-0.014103-0.10830.457051
170.0208320.160.436708
180.1055950.81110.210287
19-0.060989-0.46850.320588
200.0305870.23490.407532
21-0.040755-0.3130.377676
220.0087710.06740.473256
23-0.015507-0.11910.452796
240.1608891.23580.110713
250.0820370.63010.265519
26-0.10577-0.81240.209904
27-0.071728-0.5510.291874
280.0193760.14880.441096
290.0871550.66950.252909
30-0.013297-0.10210.459498
310.0293050.22510.411342
32-0.026165-0.2010.420702
33-0.020253-0.15560.438454
34-0.020161-0.15490.438731
35-0.151265-1.16190.12498
36-0.035919-0.27590.391796
37-0.075848-0.58260.28119
38-0.06611-0.50780.306744
390.0275560.21170.416551
40-0.020041-0.15390.439092
41-0.071471-0.5490.292545
420.0888080.68210.248908
430.0248070.19050.424767
440.0976630.75020.228069
450.0269080.20670.418483
460.0398360.3060.380347
470.0352710.27090.393698
48-0.051594-0.39630.346657

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.050847 & 0.3906 & 0.348764 \tabularnewline
2 & -0.041562 & -0.3192 & 0.375335 \tabularnewline
3 & -0.062435 & -0.4796 & 0.316653 \tabularnewline
4 & 0.108902 & 0.8365 & 0.203127 \tabularnewline
5 & -0.027897 & -0.2143 & 0.415534 \tabularnewline
6 & 0.002627 & 0.0202 & 0.491984 \tabularnewline
7 & 0.002933 & 0.0225 & 0.491051 \tabularnewline
8 & -0.06315 & -0.4851 & 0.314714 \tabularnewline
9 & -0.1001 & -0.7689 & 0.222515 \tabularnewline
10 & -0.181169 & -1.3916 & 0.084636 \tabularnewline
11 & 0.014907 & 0.1145 & 0.454613 \tabularnewline
12 & 0.015531 & 0.1193 & 0.452722 \tabularnewline
13 & 0.004043 & 0.0311 & 0.487666 \tabularnewline
14 & 0.029571 & 0.2271 & 0.410552 \tabularnewline
15 & -0.100672 & -0.7733 & 0.221224 \tabularnewline
16 & -0.014103 & -0.1083 & 0.457051 \tabularnewline
17 & 0.020832 & 0.16 & 0.436708 \tabularnewline
18 & 0.105595 & 0.8111 & 0.210287 \tabularnewline
19 & -0.060989 & -0.4685 & 0.320588 \tabularnewline
20 & 0.030587 & 0.2349 & 0.407532 \tabularnewline
21 & -0.040755 & -0.313 & 0.377676 \tabularnewline
22 & 0.008771 & 0.0674 & 0.473256 \tabularnewline
23 & -0.015507 & -0.1191 & 0.452796 \tabularnewline
24 & 0.160889 & 1.2358 & 0.110713 \tabularnewline
25 & 0.082037 & 0.6301 & 0.265519 \tabularnewline
26 & -0.10577 & -0.8124 & 0.209904 \tabularnewline
27 & -0.071728 & -0.551 & 0.291874 \tabularnewline
28 & 0.019376 & 0.1488 & 0.441096 \tabularnewline
29 & 0.087155 & 0.6695 & 0.252909 \tabularnewline
30 & -0.013297 & -0.1021 & 0.459498 \tabularnewline
31 & 0.029305 & 0.2251 & 0.411342 \tabularnewline
32 & -0.026165 & -0.201 & 0.420702 \tabularnewline
33 & -0.020253 & -0.1556 & 0.438454 \tabularnewline
34 & -0.020161 & -0.1549 & 0.438731 \tabularnewline
35 & -0.151265 & -1.1619 & 0.12498 \tabularnewline
36 & -0.035919 & -0.2759 & 0.391796 \tabularnewline
37 & -0.075848 & -0.5826 & 0.28119 \tabularnewline
38 & -0.06611 & -0.5078 & 0.306744 \tabularnewline
39 & 0.027556 & 0.2117 & 0.416551 \tabularnewline
40 & -0.020041 & -0.1539 & 0.439092 \tabularnewline
41 & -0.071471 & -0.549 & 0.292545 \tabularnewline
42 & 0.088808 & 0.6821 & 0.248908 \tabularnewline
43 & 0.024807 & 0.1905 & 0.424767 \tabularnewline
44 & 0.097663 & 0.7502 & 0.228069 \tabularnewline
45 & 0.026908 & 0.2067 & 0.418483 \tabularnewline
46 & 0.039836 & 0.306 & 0.380347 \tabularnewline
47 & 0.035271 & 0.2709 & 0.393698 \tabularnewline
48 & -0.051594 & -0.3963 & 0.346657 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142046&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]0.050847[/C][C]0.3906[/C][C]0.348764[/C][/ROW]
[ROW][C]2[/C][C]-0.041562[/C][C]-0.3192[/C][C]0.375335[/C][/ROW]
[ROW][C]3[/C][C]-0.062435[/C][C]-0.4796[/C][C]0.316653[/C][/ROW]
[ROW][C]4[/C][C]0.108902[/C][C]0.8365[/C][C]0.203127[/C][/ROW]
[ROW][C]5[/C][C]-0.027897[/C][C]-0.2143[/C][C]0.415534[/C][/ROW]
[ROW][C]6[/C][C]0.002627[/C][C]0.0202[/C][C]0.491984[/C][/ROW]
[ROW][C]7[/C][C]0.002933[/C][C]0.0225[/C][C]0.491051[/C][/ROW]
[ROW][C]8[/C][C]-0.06315[/C][C]-0.4851[/C][C]0.314714[/C][/ROW]
[ROW][C]9[/C][C]-0.1001[/C][C]-0.7689[/C][C]0.222515[/C][/ROW]
[ROW][C]10[/C][C]-0.181169[/C][C]-1.3916[/C][C]0.084636[/C][/ROW]
[ROW][C]11[/C][C]0.014907[/C][C]0.1145[/C][C]0.454613[/C][/ROW]
[ROW][C]12[/C][C]0.015531[/C][C]0.1193[/C][C]0.452722[/C][/ROW]
[ROW][C]13[/C][C]0.004043[/C][C]0.0311[/C][C]0.487666[/C][/ROW]
[ROW][C]14[/C][C]0.029571[/C][C]0.2271[/C][C]0.410552[/C][/ROW]
[ROW][C]15[/C][C]-0.100672[/C][C]-0.7733[/C][C]0.221224[/C][/ROW]
[ROW][C]16[/C][C]-0.014103[/C][C]-0.1083[/C][C]0.457051[/C][/ROW]
[ROW][C]17[/C][C]0.020832[/C][C]0.16[/C][C]0.436708[/C][/ROW]
[ROW][C]18[/C][C]0.105595[/C][C]0.8111[/C][C]0.210287[/C][/ROW]
[ROW][C]19[/C][C]-0.060989[/C][C]-0.4685[/C][C]0.320588[/C][/ROW]
[ROW][C]20[/C][C]0.030587[/C][C]0.2349[/C][C]0.407532[/C][/ROW]
[ROW][C]21[/C][C]-0.040755[/C][C]-0.313[/C][C]0.377676[/C][/ROW]
[ROW][C]22[/C][C]0.008771[/C][C]0.0674[/C][C]0.473256[/C][/ROW]
[ROW][C]23[/C][C]-0.015507[/C][C]-0.1191[/C][C]0.452796[/C][/ROW]
[ROW][C]24[/C][C]0.160889[/C][C]1.2358[/C][C]0.110713[/C][/ROW]
[ROW][C]25[/C][C]0.082037[/C][C]0.6301[/C][C]0.265519[/C][/ROW]
[ROW][C]26[/C][C]-0.10577[/C][C]-0.8124[/C][C]0.209904[/C][/ROW]
[ROW][C]27[/C][C]-0.071728[/C][C]-0.551[/C][C]0.291874[/C][/ROW]
[ROW][C]28[/C][C]0.019376[/C][C]0.1488[/C][C]0.441096[/C][/ROW]
[ROW][C]29[/C][C]0.087155[/C][C]0.6695[/C][C]0.252909[/C][/ROW]
[ROW][C]30[/C][C]-0.013297[/C][C]-0.1021[/C][C]0.459498[/C][/ROW]
[ROW][C]31[/C][C]0.029305[/C][C]0.2251[/C][C]0.411342[/C][/ROW]
[ROW][C]32[/C][C]-0.026165[/C][C]-0.201[/C][C]0.420702[/C][/ROW]
[ROW][C]33[/C][C]-0.020253[/C][C]-0.1556[/C][C]0.438454[/C][/ROW]
[ROW][C]34[/C][C]-0.020161[/C][C]-0.1549[/C][C]0.438731[/C][/ROW]
[ROW][C]35[/C][C]-0.151265[/C][C]-1.1619[/C][C]0.12498[/C][/ROW]
[ROW][C]36[/C][C]-0.035919[/C][C]-0.2759[/C][C]0.391796[/C][/ROW]
[ROW][C]37[/C][C]-0.075848[/C][C]-0.5826[/C][C]0.28119[/C][/ROW]
[ROW][C]38[/C][C]-0.06611[/C][C]-0.5078[/C][C]0.306744[/C][/ROW]
[ROW][C]39[/C][C]0.027556[/C][C]0.2117[/C][C]0.416551[/C][/ROW]
[ROW][C]40[/C][C]-0.020041[/C][C]-0.1539[/C][C]0.439092[/C][/ROW]
[ROW][C]41[/C][C]-0.071471[/C][C]-0.549[/C][C]0.292545[/C][/ROW]
[ROW][C]42[/C][C]0.088808[/C][C]0.6821[/C][C]0.248908[/C][/ROW]
[ROW][C]43[/C][C]0.024807[/C][C]0.1905[/C][C]0.424767[/C][/ROW]
[ROW][C]44[/C][C]0.097663[/C][C]0.7502[/C][C]0.228069[/C][/ROW]
[ROW][C]45[/C][C]0.026908[/C][C]0.2067[/C][C]0.418483[/C][/ROW]
[ROW][C]46[/C][C]0.039836[/C][C]0.306[/C][C]0.380347[/C][/ROW]
[ROW][C]47[/C][C]0.035271[/C][C]0.2709[/C][C]0.393698[/C][/ROW]
[ROW][C]48[/C][C]-0.051594[/C][C]-0.3963[/C][C]0.346657[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142046&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142046&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
10.0508470.39060.348764
2-0.041562-0.31920.375335
3-0.062435-0.47960.316653
40.1089020.83650.203127
5-0.027897-0.21430.415534
60.0026270.02020.491984
70.0029330.02250.491051
8-0.06315-0.48510.314714
9-0.1001-0.76890.222515
10-0.181169-1.39160.084636
110.0149070.11450.454613
120.0155310.11930.452722
130.0040430.03110.487666
140.0295710.22710.410552
15-0.100672-0.77330.221224
16-0.014103-0.10830.457051
170.0208320.160.436708
180.1055950.81110.210287
19-0.060989-0.46850.320588
200.0305870.23490.407532
21-0.040755-0.3130.377676
220.0087710.06740.473256
23-0.015507-0.11910.452796
240.1608891.23580.110713
250.0820370.63010.265519
26-0.10577-0.81240.209904
27-0.071728-0.5510.291874
280.0193760.14880.441096
290.0871550.66950.252909
30-0.013297-0.10210.459498
310.0293050.22510.411342
32-0.026165-0.2010.420702
33-0.020253-0.15560.438454
34-0.020161-0.15490.438731
35-0.151265-1.16190.12498
36-0.035919-0.27590.391796
37-0.075848-0.58260.28119
38-0.06611-0.50780.306744
390.0275560.21170.416551
40-0.020041-0.15390.439092
41-0.071471-0.5490.292545
420.0888080.68210.248908
430.0248070.19050.424767
440.0976630.75020.228069
450.0269080.20670.418483
460.0398360.3060.380347
470.0352710.27090.393698
48-0.051594-0.39630.346657



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')