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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 07 Dec 2007 06:47:36 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/07/t1197034576x9jtlu3vwtmdnpv.htm/, Retrieved Sun, 28 Apr 2024 23:02:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2825, Retrieved Sun, 28 Apr 2024 23:02:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-07 13:47:36] [40a229849a2b804e343854d9b3fa1a24] [Current]
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Dataseries X:
107,97
108,13
108,54
109,86
109,75
109,99
112,01
111,96
111,41
112,11
111,67
111,95
112,31
113,26
113,5
114,43
115,02
115,1
117,11
117,52
116,1
116,39
116,01
116,74
116,68
117,45
117,8
119,37
118,9
119,05
120,46
120,99
119,86
120,18
119,81
120,15
119,8
120,27
120,71
121,87
121,87
121,92
123,72
124,38
123,21
123,17
122,95
123,46
123,24
123,86
124,28
124,78
125,19
125,46
127,6
127,8
126,63
127,06
126,77
127,05




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2825&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2825&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2825&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.9396447.27850
20.8802556.81840
30.8223516.36990
40.7687525.95470
50.7056565.4660
60.644964.99583e-06
70.6049194.68578e-06
80.5658324.38292.4e-05
90.5224044.04657.5e-05
100.4820023.73360.000211
110.4400033.40820.000587
120.4012633.10820.001438
130.348722.70120.004484
140.3023492.3420.011259
150.2572971.9930.025407
160.2129531.64950.052133
170.163391.26560.105273
180.1178220.91260.18254
190.0919250.7120.239597
200.0693140.53690.296659
210.0362370.28070.389957
220.007250.05620.477701
23-0.021914-0.16970.56711
24-0.045191-0.350.636236
25-0.081197-0.62890.734114
26-0.112646-0.87250.806806
27-0.14304-1.1080.863855
28-0.166601-1.29050.899083
29-0.200122-1.55010.936817
30-0.230426-1.78490.960332
31-0.246572-1.90990.969537
32-0.25911-2.00710.975372
33-0.280989-2.17650.983269
34-0.295501-2.28890.987191
35-0.311031-2.40920.990464
36-0.321419-2.48970.992213
37-0.341723-2.6470.994821
38-0.357348-2.7680.996255
39-0.371725-2.87940.997242
40-0.380465-2.94710.997718
41-0.396646-3.07240.998405
42-0.411607-3.18830.998863
43-0.407111-3.15350.99874
44-0.39849-3.08670.998469
45-0.394362-3.05470.998321
46-0.387182-2.99910.998031
47-0.380961-2.95090.997743

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.939644 & 7.2785 & 0 \tabularnewline
2 & 0.880255 & 6.8184 & 0 \tabularnewline
3 & 0.822351 & 6.3699 & 0 \tabularnewline
4 & 0.768752 & 5.9547 & 0 \tabularnewline
5 & 0.705656 & 5.466 & 0 \tabularnewline
6 & 0.64496 & 4.9958 & 3e-06 \tabularnewline
7 & 0.604919 & 4.6857 & 8e-06 \tabularnewline
8 & 0.565832 & 4.3829 & 2.4e-05 \tabularnewline
9 & 0.522404 & 4.0465 & 7.5e-05 \tabularnewline
10 & 0.482002 & 3.7336 & 0.000211 \tabularnewline
11 & 0.440003 & 3.4082 & 0.000587 \tabularnewline
12 & 0.401263 & 3.1082 & 0.001438 \tabularnewline
13 & 0.34872 & 2.7012 & 0.004484 \tabularnewline
14 & 0.302349 & 2.342 & 0.011259 \tabularnewline
15 & 0.257297 & 1.993 & 0.025407 \tabularnewline
16 & 0.212953 & 1.6495 & 0.052133 \tabularnewline
17 & 0.16339 & 1.2656 & 0.105273 \tabularnewline
18 & 0.117822 & 0.9126 & 0.18254 \tabularnewline
19 & 0.091925 & 0.712 & 0.239597 \tabularnewline
20 & 0.069314 & 0.5369 & 0.296659 \tabularnewline
21 & 0.036237 & 0.2807 & 0.389957 \tabularnewline
22 & 0.00725 & 0.0562 & 0.477701 \tabularnewline
23 & -0.021914 & -0.1697 & 0.56711 \tabularnewline
24 & -0.045191 & -0.35 & 0.636236 \tabularnewline
25 & -0.081197 & -0.6289 & 0.734114 \tabularnewline
26 & -0.112646 & -0.8725 & 0.806806 \tabularnewline
27 & -0.14304 & -1.108 & 0.863855 \tabularnewline
28 & -0.166601 & -1.2905 & 0.899083 \tabularnewline
29 & -0.200122 & -1.5501 & 0.936817 \tabularnewline
30 & -0.230426 & -1.7849 & 0.960332 \tabularnewline
31 & -0.246572 & -1.9099 & 0.969537 \tabularnewline
32 & -0.25911 & -2.0071 & 0.975372 \tabularnewline
33 & -0.280989 & -2.1765 & 0.983269 \tabularnewline
34 & -0.295501 & -2.2889 & 0.987191 \tabularnewline
35 & -0.311031 & -2.4092 & 0.990464 \tabularnewline
36 & -0.321419 & -2.4897 & 0.992213 \tabularnewline
37 & -0.341723 & -2.647 & 0.994821 \tabularnewline
38 & -0.357348 & -2.768 & 0.996255 \tabularnewline
39 & -0.371725 & -2.8794 & 0.997242 \tabularnewline
40 & -0.380465 & -2.9471 & 0.997718 \tabularnewline
41 & -0.396646 & -3.0724 & 0.998405 \tabularnewline
42 & -0.411607 & -3.1883 & 0.998863 \tabularnewline
43 & -0.407111 & -3.1535 & 0.99874 \tabularnewline
44 & -0.39849 & -3.0867 & 0.998469 \tabularnewline
45 & -0.394362 & -3.0547 & 0.998321 \tabularnewline
46 & -0.387182 & -2.9991 & 0.998031 \tabularnewline
47 & -0.380961 & -2.9509 & 0.997743 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2825&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.939644[/C][C]7.2785[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.880255[/C][C]6.8184[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.822351[/C][C]6.3699[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.768752[/C][C]5.9547[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.705656[/C][C]5.466[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.64496[/C][C]4.9958[/C][C]3e-06[/C][/ROW]
[ROW][C]7[/C][C]0.604919[/C][C]4.6857[/C][C]8e-06[/C][/ROW]
[ROW][C]8[/C][C]0.565832[/C][C]4.3829[/C][C]2.4e-05[/C][/ROW]
[ROW][C]9[/C][C]0.522404[/C][C]4.0465[/C][C]7.5e-05[/C][/ROW]
[ROW][C]10[/C][C]0.482002[/C][C]3.7336[/C][C]0.000211[/C][/ROW]
[ROW][C]11[/C][C]0.440003[/C][C]3.4082[/C][C]0.000587[/C][/ROW]
[ROW][C]12[/C][C]0.401263[/C][C]3.1082[/C][C]0.001438[/C][/ROW]
[ROW][C]13[/C][C]0.34872[/C][C]2.7012[/C][C]0.004484[/C][/ROW]
[ROW][C]14[/C][C]0.302349[/C][C]2.342[/C][C]0.011259[/C][/ROW]
[ROW][C]15[/C][C]0.257297[/C][C]1.993[/C][C]0.025407[/C][/ROW]
[ROW][C]16[/C][C]0.212953[/C][C]1.6495[/C][C]0.052133[/C][/ROW]
[ROW][C]17[/C][C]0.16339[/C][C]1.2656[/C][C]0.105273[/C][/ROW]
[ROW][C]18[/C][C]0.117822[/C][C]0.9126[/C][C]0.18254[/C][/ROW]
[ROW][C]19[/C][C]0.091925[/C][C]0.712[/C][C]0.239597[/C][/ROW]
[ROW][C]20[/C][C]0.069314[/C][C]0.5369[/C][C]0.296659[/C][/ROW]
[ROW][C]21[/C][C]0.036237[/C][C]0.2807[/C][C]0.389957[/C][/ROW]
[ROW][C]22[/C][C]0.00725[/C][C]0.0562[/C][C]0.477701[/C][/ROW]
[ROW][C]23[/C][C]-0.021914[/C][C]-0.1697[/C][C]0.56711[/C][/ROW]
[ROW][C]24[/C][C]-0.045191[/C][C]-0.35[/C][C]0.636236[/C][/ROW]
[ROW][C]25[/C][C]-0.081197[/C][C]-0.6289[/C][C]0.734114[/C][/ROW]
[ROW][C]26[/C][C]-0.112646[/C][C]-0.8725[/C][C]0.806806[/C][/ROW]
[ROW][C]27[/C][C]-0.14304[/C][C]-1.108[/C][C]0.863855[/C][/ROW]
[ROW][C]28[/C][C]-0.166601[/C][C]-1.2905[/C][C]0.899083[/C][/ROW]
[ROW][C]29[/C][C]-0.200122[/C][C]-1.5501[/C][C]0.936817[/C][/ROW]
[ROW][C]30[/C][C]-0.230426[/C][C]-1.7849[/C][C]0.960332[/C][/ROW]
[ROW][C]31[/C][C]-0.246572[/C][C]-1.9099[/C][C]0.969537[/C][/ROW]
[ROW][C]32[/C][C]-0.25911[/C][C]-2.0071[/C][C]0.975372[/C][/ROW]
[ROW][C]33[/C][C]-0.280989[/C][C]-2.1765[/C][C]0.983269[/C][/ROW]
[ROW][C]34[/C][C]-0.295501[/C][C]-2.2889[/C][C]0.987191[/C][/ROW]
[ROW][C]35[/C][C]-0.311031[/C][C]-2.4092[/C][C]0.990464[/C][/ROW]
[ROW][C]36[/C][C]-0.321419[/C][C]-2.4897[/C][C]0.992213[/C][/ROW]
[ROW][C]37[/C][C]-0.341723[/C][C]-2.647[/C][C]0.994821[/C][/ROW]
[ROW][C]38[/C][C]-0.357348[/C][C]-2.768[/C][C]0.996255[/C][/ROW]
[ROW][C]39[/C][C]-0.371725[/C][C]-2.8794[/C][C]0.997242[/C][/ROW]
[ROW][C]40[/C][C]-0.380465[/C][C]-2.9471[/C][C]0.997718[/C][/ROW]
[ROW][C]41[/C][C]-0.396646[/C][C]-3.0724[/C][C]0.998405[/C][/ROW]
[ROW][C]42[/C][C]-0.411607[/C][C]-3.1883[/C][C]0.998863[/C][/ROW]
[ROW][C]43[/C][C]-0.407111[/C][C]-3.1535[/C][C]0.99874[/C][/ROW]
[ROW][C]44[/C][C]-0.39849[/C][C]-3.0867[/C][C]0.998469[/C][/ROW]
[ROW][C]45[/C][C]-0.394362[/C][C]-3.0547[/C][C]0.998321[/C][/ROW]
[ROW][C]46[/C][C]-0.387182[/C][C]-2.9991[/C][C]0.998031[/C][/ROW]
[ROW][C]47[/C][C]-0.380961[/C][C]-2.9509[/C][C]0.997743[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2825&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2825&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
017.7460
10.9396447.27850
20.8802556.81840
30.8223516.36990
40.7687525.95470
50.7056565.4660
60.644964.99583e-06
70.6049194.68578e-06
80.5658324.38292.4e-05
90.5224044.04657.5e-05
100.4820023.73360.000211
110.4400033.40820.000587
120.4012633.10820.001438
130.348722.70120.004484
140.3023492.3420.011259
150.2572971.9930.025407
160.2129531.64950.052133
170.163391.26560.105273
180.1178220.91260.18254
190.0919250.7120.239597
200.0693140.53690.296659
210.0362370.28070.389957
220.007250.05620.477701
23-0.021914-0.16970.56711
24-0.045191-0.350.636236
25-0.081197-0.62890.734114
26-0.112646-0.87250.806806
27-0.14304-1.1080.863855
28-0.166601-1.29050.899083
29-0.200122-1.55010.936817
30-0.230426-1.78490.960332
31-0.246572-1.90990.969537
32-0.25911-2.00710.975372
33-0.280989-2.17650.983269
34-0.295501-2.28890.987191
35-0.311031-2.40920.990464
36-0.321419-2.48970.992213
37-0.341723-2.6470.994821
38-0.357348-2.7680.996255
39-0.371725-2.87940.997242
40-0.380465-2.94710.997718
41-0.396646-3.07240.998405
42-0.411607-3.18830.998863
43-0.407111-3.15350.99874
44-0.39849-3.08670.998469
45-0.394362-3.05470.998321
46-0.387182-2.99910.998031
47-0.380961-2.95090.997743







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9396447.27850
1-0.022863-0.17710.569986
2-0.018827-0.14580.55773
30.0052130.04040.483963
4-0.110918-0.85920.803167
5-0.016451-0.12740.550486
60.1415441.09640.138644
7-0.021557-0.1670.566027
8-0.055358-0.42880.665199
90.0075340.05840.476828
10-0.069114-0.53540.702809
110.0003630.00280.498882
12-0.113063-0.87580.80768
130.0107440.08320.466975
14-0.025994-0.20130.579446
15-0.033581-0.26010.602169
16-0.070598-0.54680.706744
17-0.007802-0.06040.523996
180.1070090.82890.205226
190.0089410.06930.472509
20-0.104772-0.81160.789874
21-0.000908-0.0070.502794
22-0.058475-0.45290.67389
230.0139480.1080.457161
24-0.067721-0.52460.699092
25-0.007067-0.05470.521737
26-0.048092-0.37250.644592
270.0224220.17370.43135
28-0.113582-0.87980.808762
29-0.013377-0.10360.541092
300.0590850.45770.324421
31-0.006497-0.05030.519985
32-0.084108-0.65150.741394
330.0259680.20110.420633
34-0.079453-0.61540.729704
350.0016520.01280.494915
36-0.026908-0.20840.582199
37-0.01756-0.1360.553871
38-0.051683-0.40030.654834
390.0150540.11660.45378
40-0.088051-0.6820.75108
41-0.035051-0.27150.606533
420.1248050.96670.168778
43-0.00752-0.05820.523128
44-0.031256-0.24210.595239
450.0057960.04490.482169
46-0.082719-0.64070.737934
470.0168150.13020.448403

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.939644 & 7.2785 & 0 \tabularnewline
1 & -0.022863 & -0.1771 & 0.569986 \tabularnewline
2 & -0.018827 & -0.1458 & 0.55773 \tabularnewline
3 & 0.005213 & 0.0404 & 0.483963 \tabularnewline
4 & -0.110918 & -0.8592 & 0.803167 \tabularnewline
5 & -0.016451 & -0.1274 & 0.550486 \tabularnewline
6 & 0.141544 & 1.0964 & 0.138644 \tabularnewline
7 & -0.021557 & -0.167 & 0.566027 \tabularnewline
8 & -0.055358 & -0.4288 & 0.665199 \tabularnewline
9 & 0.007534 & 0.0584 & 0.476828 \tabularnewline
10 & -0.069114 & -0.5354 & 0.702809 \tabularnewline
11 & 0.000363 & 0.0028 & 0.498882 \tabularnewline
12 & -0.113063 & -0.8758 & 0.80768 \tabularnewline
13 & 0.010744 & 0.0832 & 0.466975 \tabularnewline
14 & -0.025994 & -0.2013 & 0.579446 \tabularnewline
15 & -0.033581 & -0.2601 & 0.602169 \tabularnewline
16 & -0.070598 & -0.5468 & 0.706744 \tabularnewline
17 & -0.007802 & -0.0604 & 0.523996 \tabularnewline
18 & 0.107009 & 0.8289 & 0.205226 \tabularnewline
19 & 0.008941 & 0.0693 & 0.472509 \tabularnewline
20 & -0.104772 & -0.8116 & 0.789874 \tabularnewline
21 & -0.000908 & -0.007 & 0.502794 \tabularnewline
22 & -0.058475 & -0.4529 & 0.67389 \tabularnewline
23 & 0.013948 & 0.108 & 0.457161 \tabularnewline
24 & -0.067721 & -0.5246 & 0.699092 \tabularnewline
25 & -0.007067 & -0.0547 & 0.521737 \tabularnewline
26 & -0.048092 & -0.3725 & 0.644592 \tabularnewline
27 & 0.022422 & 0.1737 & 0.43135 \tabularnewline
28 & -0.113582 & -0.8798 & 0.808762 \tabularnewline
29 & -0.013377 & -0.1036 & 0.541092 \tabularnewline
30 & 0.059085 & 0.4577 & 0.324421 \tabularnewline
31 & -0.006497 & -0.0503 & 0.519985 \tabularnewline
32 & -0.084108 & -0.6515 & 0.741394 \tabularnewline
33 & 0.025968 & 0.2011 & 0.420633 \tabularnewline
34 & -0.079453 & -0.6154 & 0.729704 \tabularnewline
35 & 0.001652 & 0.0128 & 0.494915 \tabularnewline
36 & -0.026908 & -0.2084 & 0.582199 \tabularnewline
37 & -0.01756 & -0.136 & 0.553871 \tabularnewline
38 & -0.051683 & -0.4003 & 0.654834 \tabularnewline
39 & 0.015054 & 0.1166 & 0.45378 \tabularnewline
40 & -0.088051 & -0.682 & 0.75108 \tabularnewline
41 & -0.035051 & -0.2715 & 0.606533 \tabularnewline
42 & 0.124805 & 0.9667 & 0.168778 \tabularnewline
43 & -0.00752 & -0.0582 & 0.523128 \tabularnewline
44 & -0.031256 & -0.2421 & 0.595239 \tabularnewline
45 & 0.005796 & 0.0449 & 0.482169 \tabularnewline
46 & -0.082719 & -0.6407 & 0.737934 \tabularnewline
47 & 0.016815 & 0.1302 & 0.448403 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2825&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]0.939644[/C][C]7.2785[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.022863[/C][C]-0.1771[/C][C]0.569986[/C][/ROW]
[ROW][C]2[/C][C]-0.018827[/C][C]-0.1458[/C][C]0.55773[/C][/ROW]
[ROW][C]3[/C][C]0.005213[/C][C]0.0404[/C][C]0.483963[/C][/ROW]
[ROW][C]4[/C][C]-0.110918[/C][C]-0.8592[/C][C]0.803167[/C][/ROW]
[ROW][C]5[/C][C]-0.016451[/C][C]-0.1274[/C][C]0.550486[/C][/ROW]
[ROW][C]6[/C][C]0.141544[/C][C]1.0964[/C][C]0.138644[/C][/ROW]
[ROW][C]7[/C][C]-0.021557[/C][C]-0.167[/C][C]0.566027[/C][/ROW]
[ROW][C]8[/C][C]-0.055358[/C][C]-0.4288[/C][C]0.665199[/C][/ROW]
[ROW][C]9[/C][C]0.007534[/C][C]0.0584[/C][C]0.476828[/C][/ROW]
[ROW][C]10[/C][C]-0.069114[/C][C]-0.5354[/C][C]0.702809[/C][/ROW]
[ROW][C]11[/C][C]0.000363[/C][C]0.0028[/C][C]0.498882[/C][/ROW]
[ROW][C]12[/C][C]-0.113063[/C][C]-0.8758[/C][C]0.80768[/C][/ROW]
[ROW][C]13[/C][C]0.010744[/C][C]0.0832[/C][C]0.466975[/C][/ROW]
[ROW][C]14[/C][C]-0.025994[/C][C]-0.2013[/C][C]0.579446[/C][/ROW]
[ROW][C]15[/C][C]-0.033581[/C][C]-0.2601[/C][C]0.602169[/C][/ROW]
[ROW][C]16[/C][C]-0.070598[/C][C]-0.5468[/C][C]0.706744[/C][/ROW]
[ROW][C]17[/C][C]-0.007802[/C][C]-0.0604[/C][C]0.523996[/C][/ROW]
[ROW][C]18[/C][C]0.107009[/C][C]0.8289[/C][C]0.205226[/C][/ROW]
[ROW][C]19[/C][C]0.008941[/C][C]0.0693[/C][C]0.472509[/C][/ROW]
[ROW][C]20[/C][C]-0.104772[/C][C]-0.8116[/C][C]0.789874[/C][/ROW]
[ROW][C]21[/C][C]-0.000908[/C][C]-0.007[/C][C]0.502794[/C][/ROW]
[ROW][C]22[/C][C]-0.058475[/C][C]-0.4529[/C][C]0.67389[/C][/ROW]
[ROW][C]23[/C][C]0.013948[/C][C]0.108[/C][C]0.457161[/C][/ROW]
[ROW][C]24[/C][C]-0.067721[/C][C]-0.5246[/C][C]0.699092[/C][/ROW]
[ROW][C]25[/C][C]-0.007067[/C][C]-0.0547[/C][C]0.521737[/C][/ROW]
[ROW][C]26[/C][C]-0.048092[/C][C]-0.3725[/C][C]0.644592[/C][/ROW]
[ROW][C]27[/C][C]0.022422[/C][C]0.1737[/C][C]0.43135[/C][/ROW]
[ROW][C]28[/C][C]-0.113582[/C][C]-0.8798[/C][C]0.808762[/C][/ROW]
[ROW][C]29[/C][C]-0.013377[/C][C]-0.1036[/C][C]0.541092[/C][/ROW]
[ROW][C]30[/C][C]0.059085[/C][C]0.4577[/C][C]0.324421[/C][/ROW]
[ROW][C]31[/C][C]-0.006497[/C][C]-0.0503[/C][C]0.519985[/C][/ROW]
[ROW][C]32[/C][C]-0.084108[/C][C]-0.6515[/C][C]0.741394[/C][/ROW]
[ROW][C]33[/C][C]0.025968[/C][C]0.2011[/C][C]0.420633[/C][/ROW]
[ROW][C]34[/C][C]-0.079453[/C][C]-0.6154[/C][C]0.729704[/C][/ROW]
[ROW][C]35[/C][C]0.001652[/C][C]0.0128[/C][C]0.494915[/C][/ROW]
[ROW][C]36[/C][C]-0.026908[/C][C]-0.2084[/C][C]0.582199[/C][/ROW]
[ROW][C]37[/C][C]-0.01756[/C][C]-0.136[/C][C]0.553871[/C][/ROW]
[ROW][C]38[/C][C]-0.051683[/C][C]-0.4003[/C][C]0.654834[/C][/ROW]
[ROW][C]39[/C][C]0.015054[/C][C]0.1166[/C][C]0.45378[/C][/ROW]
[ROW][C]40[/C][C]-0.088051[/C][C]-0.682[/C][C]0.75108[/C][/ROW]
[ROW][C]41[/C][C]-0.035051[/C][C]-0.2715[/C][C]0.606533[/C][/ROW]
[ROW][C]42[/C][C]0.124805[/C][C]0.9667[/C][C]0.168778[/C][/ROW]
[ROW][C]43[/C][C]-0.00752[/C][C]-0.0582[/C][C]0.523128[/C][/ROW]
[ROW][C]44[/C][C]-0.031256[/C][C]-0.2421[/C][C]0.595239[/C][/ROW]
[ROW][C]45[/C][C]0.005796[/C][C]0.0449[/C][C]0.482169[/C][/ROW]
[ROW][C]46[/C][C]-0.082719[/C][C]-0.6407[/C][C]0.737934[/C][/ROW]
[ROW][C]47[/C][C]0.016815[/C][C]0.1302[/C][C]0.448403[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2825&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2825&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9396447.27850
1-0.022863-0.17710.569986
2-0.018827-0.14580.55773
30.0052130.04040.483963
4-0.110918-0.85920.803167
5-0.016451-0.12740.550486
60.1415441.09640.138644
7-0.021557-0.1670.566027
8-0.055358-0.42880.665199
90.0075340.05840.476828
10-0.069114-0.53540.702809
110.0003630.00280.498882
12-0.113063-0.87580.80768
130.0107440.08320.466975
14-0.025994-0.20130.579446
15-0.033581-0.26010.602169
16-0.070598-0.54680.706744
17-0.007802-0.06040.523996
180.1070090.82890.205226
190.0089410.06930.472509
20-0.104772-0.81160.789874
21-0.000908-0.0070.502794
22-0.058475-0.45290.67389
230.0139480.1080.457161
24-0.067721-0.52460.699092
25-0.007067-0.05470.521737
26-0.048092-0.37250.644592
270.0224220.17370.43135
28-0.113582-0.87980.808762
29-0.013377-0.10360.541092
300.0590850.45770.324421
31-0.006497-0.05030.519985
32-0.084108-0.65150.741394
330.0259680.20110.420633
34-0.079453-0.61540.729704
350.0016520.01280.494915
36-0.026908-0.20840.582199
37-0.01756-0.1360.553871
38-0.051683-0.40030.654834
390.0150540.11660.45378
40-0.088051-0.6820.75108
41-0.035051-0.27150.606533
420.1248050.96670.168778
43-0.00752-0.05820.523128
44-0.031256-0.24210.595239
450.0057960.04490.482169
46-0.082719-0.64070.737934
470.0168150.13020.448403



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')