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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 16 Dec 2009 10:23:35 -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/2009/Dec/16/t126098426558tmln38mr1hkgb.htm/, Retrieved Tue, 30 Apr 2024 08:26:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68493, Retrieved Tue, 30 Apr 2024 08:26:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact115
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [correlatie zonder...] [2009-12-16 17:23:35] [93f7fd88d04bfc03ecae616214d88989] [Current]
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Dataseries X:
2.46
2.46
2.45
2.45
2.46
2.43
2.44
2.44
2.43
2.43
2.42
2.43
2.43
2.42
2.41
2.42
2.39
2.4
2.39
2.4
2.41
2.41
2.41
2.41
2.42
2.43
2.43
2.43
2.44
2.42
2.44
2.42
2.42
2.42
2.43
2.44
2.43
2.44
2.44
2.45
2.45
2.43
2.44
2.45
2.46
2.44
2.43
2.42
2.41
2.43
2.41
2.43
2.43
2.44
2.43
2.44
2.43
2.44
2.44
2.43
2.43
2.43
2.43
2.44
2.47
2.48
2.49
2.5
2.51
2.49
2.49
2.48
2.48
2.48
2.5
2.5
2.5
2.5
2.5
2.48
2.49
2.48
2.5
2.5
2.49
2.48
2.47
2.46
2.43
2.42
2.43
2.45
2.45
2.46
2.44
2.45
2.45
2.42
2.41
2.39
2.39
2.38
2.37
2.37
2.38
2.39
2.41
2.42
2.48
2.53
2.56
2.56
2.53
2.57
2.56
2.57
2.58
2.57
2.6
2.63
2.72
2.83
2.9
2.92
2.94
2.95
2.98
3.02
3.16
3.2
3.18
3.17
3.19




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=68493&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=68493&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68493&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
10.4358655.00771e-06
20.2933413.37020.000493
30.1173341.34810.089973
40.1313431.5090.066842
50.1739041.9980.023885
60.1879132.1590.016331
70.2674083.07230.00129
80.2107462.42130.008412
90.0832390.95630.170322
100.0608010.69860.243029
110.0904261.03890.150372
120.1303081.49710.068373
130.2242222.57610.005546
140.0860010.98810.162462
150.1461461.67910.04775
160.0128560.14770.441399
170.0340180.39080.348272
180.1112911.27860.101634
190.1068641.22780.110859
200.0244390.28080.389659
21-0.073287-0.8420.200655
22-0.099144-1.13910.128366
23-0.058491-0.6720.251377
24-0.071868-0.82570.205233
25-0.05102-0.58620.279379
26-0.053368-0.61310.270417
27-0.037563-0.43160.33338
28-0.012383-0.14230.443542
29-0.025587-0.2940.384619
30-0.055321-0.63560.263073
31-0.035183-0.40420.34335
32-0.080532-0.92520.178263
33-0.062191-0.71450.238083
34-0.096825-1.11240.133986
35-0.094556-1.08640.139648
36-0.021586-0.2480.40226
37-0.053399-0.61350.270298
380.0259540.29820.383014
39-0.067612-0.77680.219333
40-0.036476-0.41910.337922
41-0.062475-0.71780.23708
42-0.015124-0.17380.431157
43-0.011374-0.13070.448115
44-0.01982-0.22770.410111
450.012230.14050.444236
460.0331080.38040.352138
470.004430.05090.479744
48-0.029606-0.34010.367143

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.435865 & 5.0077 & 1e-06 \tabularnewline
2 & 0.293341 & 3.3702 & 0.000493 \tabularnewline
3 & 0.117334 & 1.3481 & 0.089973 \tabularnewline
4 & 0.131343 & 1.509 & 0.066842 \tabularnewline
5 & 0.173904 & 1.998 & 0.023885 \tabularnewline
6 & 0.187913 & 2.159 & 0.016331 \tabularnewline
7 & 0.267408 & 3.0723 & 0.00129 \tabularnewline
8 & 0.210746 & 2.4213 & 0.008412 \tabularnewline
9 & 0.083239 & 0.9563 & 0.170322 \tabularnewline
10 & 0.060801 & 0.6986 & 0.243029 \tabularnewline
11 & 0.090426 & 1.0389 & 0.150372 \tabularnewline
12 & 0.130308 & 1.4971 & 0.068373 \tabularnewline
13 & 0.224222 & 2.5761 & 0.005546 \tabularnewline
14 & 0.086001 & 0.9881 & 0.162462 \tabularnewline
15 & 0.146146 & 1.6791 & 0.04775 \tabularnewline
16 & 0.012856 & 0.1477 & 0.441399 \tabularnewline
17 & 0.034018 & 0.3908 & 0.348272 \tabularnewline
18 & 0.111291 & 1.2786 & 0.101634 \tabularnewline
19 & 0.106864 & 1.2278 & 0.110859 \tabularnewline
20 & 0.024439 & 0.2808 & 0.389659 \tabularnewline
21 & -0.073287 & -0.842 & 0.200655 \tabularnewline
22 & -0.099144 & -1.1391 & 0.128366 \tabularnewline
23 & -0.058491 & -0.672 & 0.251377 \tabularnewline
24 & -0.071868 & -0.8257 & 0.205233 \tabularnewline
25 & -0.05102 & -0.5862 & 0.279379 \tabularnewline
26 & -0.053368 & -0.6131 & 0.270417 \tabularnewline
27 & -0.037563 & -0.4316 & 0.33338 \tabularnewline
28 & -0.012383 & -0.1423 & 0.443542 \tabularnewline
29 & -0.025587 & -0.294 & 0.384619 \tabularnewline
30 & -0.055321 & -0.6356 & 0.263073 \tabularnewline
31 & -0.035183 & -0.4042 & 0.34335 \tabularnewline
32 & -0.080532 & -0.9252 & 0.178263 \tabularnewline
33 & -0.062191 & -0.7145 & 0.238083 \tabularnewline
34 & -0.096825 & -1.1124 & 0.133986 \tabularnewline
35 & -0.094556 & -1.0864 & 0.139648 \tabularnewline
36 & -0.021586 & -0.248 & 0.40226 \tabularnewline
37 & -0.053399 & -0.6135 & 0.270298 \tabularnewline
38 & 0.025954 & 0.2982 & 0.383014 \tabularnewline
39 & -0.067612 & -0.7768 & 0.219333 \tabularnewline
40 & -0.036476 & -0.4191 & 0.337922 \tabularnewline
41 & -0.062475 & -0.7178 & 0.23708 \tabularnewline
42 & -0.015124 & -0.1738 & 0.431157 \tabularnewline
43 & -0.011374 & -0.1307 & 0.448115 \tabularnewline
44 & -0.01982 & -0.2277 & 0.410111 \tabularnewline
45 & 0.01223 & 0.1405 & 0.444236 \tabularnewline
46 & 0.033108 & 0.3804 & 0.352138 \tabularnewline
47 & 0.00443 & 0.0509 & 0.479744 \tabularnewline
48 & -0.029606 & -0.3401 & 0.367143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68493&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]0.435865[/C][C]5.0077[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.293341[/C][C]3.3702[/C][C]0.000493[/C][/ROW]
[ROW][C]3[/C][C]0.117334[/C][C]1.3481[/C][C]0.089973[/C][/ROW]
[ROW][C]4[/C][C]0.131343[/C][C]1.509[/C][C]0.066842[/C][/ROW]
[ROW][C]5[/C][C]0.173904[/C][C]1.998[/C][C]0.023885[/C][/ROW]
[ROW][C]6[/C][C]0.187913[/C][C]2.159[/C][C]0.016331[/C][/ROW]
[ROW][C]7[/C][C]0.267408[/C][C]3.0723[/C][C]0.00129[/C][/ROW]
[ROW][C]8[/C][C]0.210746[/C][C]2.4213[/C][C]0.008412[/C][/ROW]
[ROW][C]9[/C][C]0.083239[/C][C]0.9563[/C][C]0.170322[/C][/ROW]
[ROW][C]10[/C][C]0.060801[/C][C]0.6986[/C][C]0.243029[/C][/ROW]
[ROW][C]11[/C][C]0.090426[/C][C]1.0389[/C][C]0.150372[/C][/ROW]
[ROW][C]12[/C][C]0.130308[/C][C]1.4971[/C][C]0.068373[/C][/ROW]
[ROW][C]13[/C][C]0.224222[/C][C]2.5761[/C][C]0.005546[/C][/ROW]
[ROW][C]14[/C][C]0.086001[/C][C]0.9881[/C][C]0.162462[/C][/ROW]
[ROW][C]15[/C][C]0.146146[/C][C]1.6791[/C][C]0.04775[/C][/ROW]
[ROW][C]16[/C][C]0.012856[/C][C]0.1477[/C][C]0.441399[/C][/ROW]
[ROW][C]17[/C][C]0.034018[/C][C]0.3908[/C][C]0.348272[/C][/ROW]
[ROW][C]18[/C][C]0.111291[/C][C]1.2786[/C][C]0.101634[/C][/ROW]
[ROW][C]19[/C][C]0.106864[/C][C]1.2278[/C][C]0.110859[/C][/ROW]
[ROW][C]20[/C][C]0.024439[/C][C]0.2808[/C][C]0.389659[/C][/ROW]
[ROW][C]21[/C][C]-0.073287[/C][C]-0.842[/C][C]0.200655[/C][/ROW]
[ROW][C]22[/C][C]-0.099144[/C][C]-1.1391[/C][C]0.128366[/C][/ROW]
[ROW][C]23[/C][C]-0.058491[/C][C]-0.672[/C][C]0.251377[/C][/ROW]
[ROW][C]24[/C][C]-0.071868[/C][C]-0.8257[/C][C]0.205233[/C][/ROW]
[ROW][C]25[/C][C]-0.05102[/C][C]-0.5862[/C][C]0.279379[/C][/ROW]
[ROW][C]26[/C][C]-0.053368[/C][C]-0.6131[/C][C]0.270417[/C][/ROW]
[ROW][C]27[/C][C]-0.037563[/C][C]-0.4316[/C][C]0.33338[/C][/ROW]
[ROW][C]28[/C][C]-0.012383[/C][C]-0.1423[/C][C]0.443542[/C][/ROW]
[ROW][C]29[/C][C]-0.025587[/C][C]-0.294[/C][C]0.384619[/C][/ROW]
[ROW][C]30[/C][C]-0.055321[/C][C]-0.6356[/C][C]0.263073[/C][/ROW]
[ROW][C]31[/C][C]-0.035183[/C][C]-0.4042[/C][C]0.34335[/C][/ROW]
[ROW][C]32[/C][C]-0.080532[/C][C]-0.9252[/C][C]0.178263[/C][/ROW]
[ROW][C]33[/C][C]-0.062191[/C][C]-0.7145[/C][C]0.238083[/C][/ROW]
[ROW][C]34[/C][C]-0.096825[/C][C]-1.1124[/C][C]0.133986[/C][/ROW]
[ROW][C]35[/C][C]-0.094556[/C][C]-1.0864[/C][C]0.139648[/C][/ROW]
[ROW][C]36[/C][C]-0.021586[/C][C]-0.248[/C][C]0.40226[/C][/ROW]
[ROW][C]37[/C][C]-0.053399[/C][C]-0.6135[/C][C]0.270298[/C][/ROW]
[ROW][C]38[/C][C]0.025954[/C][C]0.2982[/C][C]0.383014[/C][/ROW]
[ROW][C]39[/C][C]-0.067612[/C][C]-0.7768[/C][C]0.219333[/C][/ROW]
[ROW][C]40[/C][C]-0.036476[/C][C]-0.4191[/C][C]0.337922[/C][/ROW]
[ROW][C]41[/C][C]-0.062475[/C][C]-0.7178[/C][C]0.23708[/C][/ROW]
[ROW][C]42[/C][C]-0.015124[/C][C]-0.1738[/C][C]0.431157[/C][/ROW]
[ROW][C]43[/C][C]-0.011374[/C][C]-0.1307[/C][C]0.448115[/C][/ROW]
[ROW][C]44[/C][C]-0.01982[/C][C]-0.2277[/C][C]0.410111[/C][/ROW]
[ROW][C]45[/C][C]0.01223[/C][C]0.1405[/C][C]0.444236[/C][/ROW]
[ROW][C]46[/C][C]0.033108[/C][C]0.3804[/C][C]0.352138[/C][/ROW]
[ROW][C]47[/C][C]0.00443[/C][C]0.0509[/C][C]0.479744[/C][/ROW]
[ROW][C]48[/C][C]-0.029606[/C][C]-0.3401[/C][C]0.367143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68493&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68493&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
10.4358655.00771e-06
20.2933413.37020.000493
30.1173341.34810.089973
40.1313431.5090.066842
50.1739041.9980.023885
60.1879132.1590.016331
70.2674083.07230.00129
80.2107462.42130.008412
90.0832390.95630.170322
100.0608010.69860.243029
110.0904261.03890.150372
120.1303081.49710.068373
130.2242222.57610.005546
140.0860010.98810.162462
150.1461461.67910.04775
160.0128560.14770.441399
170.0340180.39080.348272
180.1112911.27860.101634
190.1068641.22780.110859
200.0244390.28080.389659
21-0.073287-0.8420.200655
22-0.099144-1.13910.128366
23-0.058491-0.6720.251377
24-0.071868-0.82570.205233
25-0.05102-0.58620.279379
26-0.053368-0.61310.270417
27-0.037563-0.43160.33338
28-0.012383-0.14230.443542
29-0.025587-0.2940.384619
30-0.055321-0.63560.263073
31-0.035183-0.40420.34335
32-0.080532-0.92520.178263
33-0.062191-0.71450.238083
34-0.096825-1.11240.133986
35-0.094556-1.08640.139648
36-0.021586-0.2480.40226
37-0.053399-0.61350.270298
380.0259540.29820.383014
39-0.067612-0.77680.219333
40-0.036476-0.41910.337922
41-0.062475-0.71780.23708
42-0.015124-0.17380.431157
43-0.011374-0.13070.448115
44-0.01982-0.22770.410111
450.012230.14050.444236
460.0331080.38040.352138
470.004430.05090.479744
48-0.029606-0.34010.367143







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4358655.00771e-06
20.1276061.46610.072503
3-0.06253-0.71840.236884
40.0864780.99360.161129
50.1224651.4070.080887
60.0647570.7440.229098
70.161661.85730.032746
80.0283510.32570.372571
9-0.10817-1.24280.108076
100.0199760.22950.409417
110.0659390.75760.225025
120.0271140.31150.37795
130.1371341.57550.058762
14-0.131172-1.50710.067094
150.0799980.91910.179858
16-0.065251-0.74970.227392
17-0.00431-0.04950.480292
180.1115941.28210.101024
19-0.021905-0.25170.400846
20-0.163517-1.87870.031247
21-0.080188-0.92130.179289
22-0.040927-0.47020.319487
230.0032770.03760.485013
24-0.040852-0.46930.319797
25-0.067083-0.77070.221123
26-0.068025-0.78150.217941
270.0816540.93810.174946
280.0517640.59470.276525
290.0551730.63390.263626
30-0.09182-1.05490.146692
31-0.012612-0.14490.442507
32-0.034198-0.39290.347511
330.0342640.39370.347233
34-0.026286-0.3020.38156
35-0.027908-0.32060.374497
360.0501670.57640.282671
37-0.026745-0.30730.379556
380.1229971.41310.079987
39-0.022909-0.26320.396403
400.0120520.13850.445042
41-0.033777-0.38810.349296
420.0201150.23110.408796
430.0104870.12050.452139
44-0.020863-0.23970.405469
450.0587780.67530.250331
46-0.015011-0.17250.431667
47-0.019821-0.22770.410108
48-0.030834-0.35430.361856

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.435865 & 5.0077 & 1e-06 \tabularnewline
2 & 0.127606 & 1.4661 & 0.072503 \tabularnewline
3 & -0.06253 & -0.7184 & 0.236884 \tabularnewline
4 & 0.086478 & 0.9936 & 0.161129 \tabularnewline
5 & 0.122465 & 1.407 & 0.080887 \tabularnewline
6 & 0.064757 & 0.744 & 0.229098 \tabularnewline
7 & 0.16166 & 1.8573 & 0.032746 \tabularnewline
8 & 0.028351 & 0.3257 & 0.372571 \tabularnewline
9 & -0.10817 & -1.2428 & 0.108076 \tabularnewline
10 & 0.019976 & 0.2295 & 0.409417 \tabularnewline
11 & 0.065939 & 0.7576 & 0.225025 \tabularnewline
12 & 0.027114 & 0.3115 & 0.37795 \tabularnewline
13 & 0.137134 & 1.5755 & 0.058762 \tabularnewline
14 & -0.131172 & -1.5071 & 0.067094 \tabularnewline
15 & 0.079998 & 0.9191 & 0.179858 \tabularnewline
16 & -0.065251 & -0.7497 & 0.227392 \tabularnewline
17 & -0.00431 & -0.0495 & 0.480292 \tabularnewline
18 & 0.111594 & 1.2821 & 0.101024 \tabularnewline
19 & -0.021905 & -0.2517 & 0.400846 \tabularnewline
20 & -0.163517 & -1.8787 & 0.031247 \tabularnewline
21 & -0.080188 & -0.9213 & 0.179289 \tabularnewline
22 & -0.040927 & -0.4702 & 0.319487 \tabularnewline
23 & 0.003277 & 0.0376 & 0.485013 \tabularnewline
24 & -0.040852 & -0.4693 & 0.319797 \tabularnewline
25 & -0.067083 & -0.7707 & 0.221123 \tabularnewline
26 & -0.068025 & -0.7815 & 0.217941 \tabularnewline
27 & 0.081654 & 0.9381 & 0.174946 \tabularnewline
28 & 0.051764 & 0.5947 & 0.276525 \tabularnewline
29 & 0.055173 & 0.6339 & 0.263626 \tabularnewline
30 & -0.09182 & -1.0549 & 0.146692 \tabularnewline
31 & -0.012612 & -0.1449 & 0.442507 \tabularnewline
32 & -0.034198 & -0.3929 & 0.347511 \tabularnewline
33 & 0.034264 & 0.3937 & 0.347233 \tabularnewline
34 & -0.026286 & -0.302 & 0.38156 \tabularnewline
35 & -0.027908 & -0.3206 & 0.374497 \tabularnewline
36 & 0.050167 & 0.5764 & 0.282671 \tabularnewline
37 & -0.026745 & -0.3073 & 0.379556 \tabularnewline
38 & 0.122997 & 1.4131 & 0.079987 \tabularnewline
39 & -0.022909 & -0.2632 & 0.396403 \tabularnewline
40 & 0.012052 & 0.1385 & 0.445042 \tabularnewline
41 & -0.033777 & -0.3881 & 0.349296 \tabularnewline
42 & 0.020115 & 0.2311 & 0.408796 \tabularnewline
43 & 0.010487 & 0.1205 & 0.452139 \tabularnewline
44 & -0.020863 & -0.2397 & 0.405469 \tabularnewline
45 & 0.058778 & 0.6753 & 0.250331 \tabularnewline
46 & -0.015011 & -0.1725 & 0.431667 \tabularnewline
47 & -0.019821 & -0.2277 & 0.410108 \tabularnewline
48 & -0.030834 & -0.3543 & 0.361856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68493&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]0.435865[/C][C]5.0077[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.127606[/C][C]1.4661[/C][C]0.072503[/C][/ROW]
[ROW][C]3[/C][C]-0.06253[/C][C]-0.7184[/C][C]0.236884[/C][/ROW]
[ROW][C]4[/C][C]0.086478[/C][C]0.9936[/C][C]0.161129[/C][/ROW]
[ROW][C]5[/C][C]0.122465[/C][C]1.407[/C][C]0.080887[/C][/ROW]
[ROW][C]6[/C][C]0.064757[/C][C]0.744[/C][C]0.229098[/C][/ROW]
[ROW][C]7[/C][C]0.16166[/C][C]1.8573[/C][C]0.032746[/C][/ROW]
[ROW][C]8[/C][C]0.028351[/C][C]0.3257[/C][C]0.372571[/C][/ROW]
[ROW][C]9[/C][C]-0.10817[/C][C]-1.2428[/C][C]0.108076[/C][/ROW]
[ROW][C]10[/C][C]0.019976[/C][C]0.2295[/C][C]0.409417[/C][/ROW]
[ROW][C]11[/C][C]0.065939[/C][C]0.7576[/C][C]0.225025[/C][/ROW]
[ROW][C]12[/C][C]0.027114[/C][C]0.3115[/C][C]0.37795[/C][/ROW]
[ROW][C]13[/C][C]0.137134[/C][C]1.5755[/C][C]0.058762[/C][/ROW]
[ROW][C]14[/C][C]-0.131172[/C][C]-1.5071[/C][C]0.067094[/C][/ROW]
[ROW][C]15[/C][C]0.079998[/C][C]0.9191[/C][C]0.179858[/C][/ROW]
[ROW][C]16[/C][C]-0.065251[/C][C]-0.7497[/C][C]0.227392[/C][/ROW]
[ROW][C]17[/C][C]-0.00431[/C][C]-0.0495[/C][C]0.480292[/C][/ROW]
[ROW][C]18[/C][C]0.111594[/C][C]1.2821[/C][C]0.101024[/C][/ROW]
[ROW][C]19[/C][C]-0.021905[/C][C]-0.2517[/C][C]0.400846[/C][/ROW]
[ROW][C]20[/C][C]-0.163517[/C][C]-1.8787[/C][C]0.031247[/C][/ROW]
[ROW][C]21[/C][C]-0.080188[/C][C]-0.9213[/C][C]0.179289[/C][/ROW]
[ROW][C]22[/C][C]-0.040927[/C][C]-0.4702[/C][C]0.319487[/C][/ROW]
[ROW][C]23[/C][C]0.003277[/C][C]0.0376[/C][C]0.485013[/C][/ROW]
[ROW][C]24[/C][C]-0.040852[/C][C]-0.4693[/C][C]0.319797[/C][/ROW]
[ROW][C]25[/C][C]-0.067083[/C][C]-0.7707[/C][C]0.221123[/C][/ROW]
[ROW][C]26[/C][C]-0.068025[/C][C]-0.7815[/C][C]0.217941[/C][/ROW]
[ROW][C]27[/C][C]0.081654[/C][C]0.9381[/C][C]0.174946[/C][/ROW]
[ROW][C]28[/C][C]0.051764[/C][C]0.5947[/C][C]0.276525[/C][/ROW]
[ROW][C]29[/C][C]0.055173[/C][C]0.6339[/C][C]0.263626[/C][/ROW]
[ROW][C]30[/C][C]-0.09182[/C][C]-1.0549[/C][C]0.146692[/C][/ROW]
[ROW][C]31[/C][C]-0.012612[/C][C]-0.1449[/C][C]0.442507[/C][/ROW]
[ROW][C]32[/C][C]-0.034198[/C][C]-0.3929[/C][C]0.347511[/C][/ROW]
[ROW][C]33[/C][C]0.034264[/C][C]0.3937[/C][C]0.347233[/C][/ROW]
[ROW][C]34[/C][C]-0.026286[/C][C]-0.302[/C][C]0.38156[/C][/ROW]
[ROW][C]35[/C][C]-0.027908[/C][C]-0.3206[/C][C]0.374497[/C][/ROW]
[ROW][C]36[/C][C]0.050167[/C][C]0.5764[/C][C]0.282671[/C][/ROW]
[ROW][C]37[/C][C]-0.026745[/C][C]-0.3073[/C][C]0.379556[/C][/ROW]
[ROW][C]38[/C][C]0.122997[/C][C]1.4131[/C][C]0.079987[/C][/ROW]
[ROW][C]39[/C][C]-0.022909[/C][C]-0.2632[/C][C]0.396403[/C][/ROW]
[ROW][C]40[/C][C]0.012052[/C][C]0.1385[/C][C]0.445042[/C][/ROW]
[ROW][C]41[/C][C]-0.033777[/C][C]-0.3881[/C][C]0.349296[/C][/ROW]
[ROW][C]42[/C][C]0.020115[/C][C]0.2311[/C][C]0.408796[/C][/ROW]
[ROW][C]43[/C][C]0.010487[/C][C]0.1205[/C][C]0.452139[/C][/ROW]
[ROW][C]44[/C][C]-0.020863[/C][C]-0.2397[/C][C]0.405469[/C][/ROW]
[ROW][C]45[/C][C]0.058778[/C][C]0.6753[/C][C]0.250331[/C][/ROW]
[ROW][C]46[/C][C]-0.015011[/C][C]-0.1725[/C][C]0.431667[/C][/ROW]
[ROW][C]47[/C][C]-0.019821[/C][C]-0.2277[/C][C]0.410108[/C][/ROW]
[ROW][C]48[/C][C]-0.030834[/C][C]-0.3543[/C][C]0.361856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68493&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68493&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
10.4358655.00771e-06
20.1276061.46610.072503
3-0.06253-0.71840.236884
40.0864780.99360.161129
50.1224651.4070.080887
60.0647570.7440.229098
70.161661.85730.032746
80.0283510.32570.372571
9-0.10817-1.24280.108076
100.0199760.22950.409417
110.0659390.75760.225025
120.0271140.31150.37795
130.1371341.57550.058762
14-0.131172-1.50710.067094
150.0799980.91910.179858
16-0.065251-0.74970.227392
17-0.00431-0.04950.480292
180.1115941.28210.101024
19-0.021905-0.25170.400846
20-0.163517-1.87870.031247
21-0.080188-0.92130.179289
22-0.040927-0.47020.319487
230.0032770.03760.485013
24-0.040852-0.46930.319797
25-0.067083-0.77070.221123
26-0.068025-0.78150.217941
270.0816540.93810.174946
280.0517640.59470.276525
290.0551730.63390.263626
30-0.09182-1.05490.146692
31-0.012612-0.14490.442507
32-0.034198-0.39290.347511
330.0342640.39370.347233
34-0.026286-0.3020.38156
35-0.027908-0.32060.374497
360.0501670.57640.282671
37-0.026745-0.30730.379556
380.1229971.41310.079987
39-0.022909-0.26320.396403
400.0120520.13850.445042
41-0.033777-0.38810.349296
420.0201150.23110.408796
430.0104870.12050.452139
44-0.020863-0.23970.405469
450.0587780.67530.250331
46-0.015011-0.17250.431667
47-0.019821-0.22770.410108
48-0.030834-0.35430.361856



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 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')