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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 14:06:07 -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/t1321297682an92cw94yazm0ah.htm/, Retrieved Thu, 28 Mar 2024 16:38:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142283, Retrieved Thu, 28 Mar 2024 16:38:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie ge...] [2011-11-14 19:06:07] [e2f4ec8028a6c4bb839b6001939b0660] [Current]
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Dataseries X:
2,12
2,13
2,16
2,25
2,26
2,39
2,36
2,26
2,26
2,27
2,29
2,21
2,17
2,17
2,08
2,12
2,18
2,13
2,21
2,06
1,91
1,99
2,04
2,02
2,01
2,1
2,01
2,07
2,05
2,1
2,15
2,15
1,96
2,06
2,07
2,05
2,08
2,14
2,16
2,35
2,31
2,2
2,3
2,22
2,14
2,17
2,12
2,1
2,17
2,29
2,17
2,25
2,13
2,23
2,17
2,24
2,13
2,16
2,1
2,05
2,03
2,24
2,17
2,13
2,21
2,18
2,21
2,23
2,09
2,16
2,13
2,12




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142283&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142283&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142283&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'George Udny Yule' @ yule.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6473565.4930
20.5116694.34172.3e-05
30.4078553.46080.000455
40.2638452.23880.01413
50.154461.31060.097073
60.1880121.59530.057509
70.0238910.20270.419963
80.0521050.44210.329863
90.0590180.50080.309024
10-0.008347-0.07080.471865
11-0.000839-0.00710.49717
120.0922710.78290.218114
13-0.042899-0.3640.358459
14-0.189998-1.61220.055648
15-0.256795-2.1790.016303
16-0.35129-2.98080.00196
17-0.432434-3.66930.000232
18-0.370421-3.14310.001214
19-0.410335-3.48180.000425
20-0.35198-2.98660.001927
21-0.267297-2.26810.013162
22-0.202311-1.71670.04517
23-0.199818-1.69550.04715
24-0.062828-0.53310.297799
25-0.124106-1.05310.147914
26-0.127287-1.08010.141859
27-0.12902-1.09480.138634
28-0.166852-1.41580.080575
29-0.23299-1.9770.025937
30-0.0903-0.76620.223025
31-0.031066-0.26360.396419
320.0434580.36880.356697
330.120581.02320.154831
340.1369421.1620.124539
350.1256311.0660.144989
360.1780151.51050.067646
370.1295841.09960.137594
380.073450.62320.267547
390.0836080.70940.240172
400.0282750.23990.405535
41-0.047336-0.40170.344561
42-0.014935-0.12670.449755
430.0475690.40360.343838
440.0636340.53990.295449
450.0825680.70060.242903
460.066410.56350.287419
470.0198020.1680.433517
480.0557710.47320.31874

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.647356 & 5.493 & 0 \tabularnewline
2 & 0.511669 & 4.3417 & 2.3e-05 \tabularnewline
3 & 0.407855 & 3.4608 & 0.000455 \tabularnewline
4 & 0.263845 & 2.2388 & 0.01413 \tabularnewline
5 & 0.15446 & 1.3106 & 0.097073 \tabularnewline
6 & 0.188012 & 1.5953 & 0.057509 \tabularnewline
7 & 0.023891 & 0.2027 & 0.419963 \tabularnewline
8 & 0.052105 & 0.4421 & 0.329863 \tabularnewline
9 & 0.059018 & 0.5008 & 0.309024 \tabularnewline
10 & -0.008347 & -0.0708 & 0.471865 \tabularnewline
11 & -0.000839 & -0.0071 & 0.49717 \tabularnewline
12 & 0.092271 & 0.7829 & 0.218114 \tabularnewline
13 & -0.042899 & -0.364 & 0.358459 \tabularnewline
14 & -0.189998 & -1.6122 & 0.055648 \tabularnewline
15 & -0.256795 & -2.179 & 0.016303 \tabularnewline
16 & -0.35129 & -2.9808 & 0.00196 \tabularnewline
17 & -0.432434 & -3.6693 & 0.000232 \tabularnewline
18 & -0.370421 & -3.1431 & 0.001214 \tabularnewline
19 & -0.410335 & -3.4818 & 0.000425 \tabularnewline
20 & -0.35198 & -2.9866 & 0.001927 \tabularnewline
21 & -0.267297 & -2.2681 & 0.013162 \tabularnewline
22 & -0.202311 & -1.7167 & 0.04517 \tabularnewline
23 & -0.199818 & -1.6955 & 0.04715 \tabularnewline
24 & -0.062828 & -0.5331 & 0.297799 \tabularnewline
25 & -0.124106 & -1.0531 & 0.147914 \tabularnewline
26 & -0.127287 & -1.0801 & 0.141859 \tabularnewline
27 & -0.12902 & -1.0948 & 0.138634 \tabularnewline
28 & -0.166852 & -1.4158 & 0.080575 \tabularnewline
29 & -0.23299 & -1.977 & 0.025937 \tabularnewline
30 & -0.0903 & -0.7662 & 0.223025 \tabularnewline
31 & -0.031066 & -0.2636 & 0.396419 \tabularnewline
32 & 0.043458 & 0.3688 & 0.356697 \tabularnewline
33 & 0.12058 & 1.0232 & 0.154831 \tabularnewline
34 & 0.136942 & 1.162 & 0.124539 \tabularnewline
35 & 0.125631 & 1.066 & 0.144989 \tabularnewline
36 & 0.178015 & 1.5105 & 0.067646 \tabularnewline
37 & 0.129584 & 1.0996 & 0.137594 \tabularnewline
38 & 0.07345 & 0.6232 & 0.267547 \tabularnewline
39 & 0.083608 & 0.7094 & 0.240172 \tabularnewline
40 & 0.028275 & 0.2399 & 0.405535 \tabularnewline
41 & -0.047336 & -0.4017 & 0.344561 \tabularnewline
42 & -0.014935 & -0.1267 & 0.449755 \tabularnewline
43 & 0.047569 & 0.4036 & 0.343838 \tabularnewline
44 & 0.063634 & 0.5399 & 0.295449 \tabularnewline
45 & 0.082568 & 0.7006 & 0.242903 \tabularnewline
46 & 0.06641 & 0.5635 & 0.287419 \tabularnewline
47 & 0.019802 & 0.168 & 0.433517 \tabularnewline
48 & 0.055771 & 0.4732 & 0.31874 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142283&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]0.647356[/C][C]5.493[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.511669[/C][C]4.3417[/C][C]2.3e-05[/C][/ROW]
[ROW][C]3[/C][C]0.407855[/C][C]3.4608[/C][C]0.000455[/C][/ROW]
[ROW][C]4[/C][C]0.263845[/C][C]2.2388[/C][C]0.01413[/C][/ROW]
[ROW][C]5[/C][C]0.15446[/C][C]1.3106[/C][C]0.097073[/C][/ROW]
[ROW][C]6[/C][C]0.188012[/C][C]1.5953[/C][C]0.057509[/C][/ROW]
[ROW][C]7[/C][C]0.023891[/C][C]0.2027[/C][C]0.419963[/C][/ROW]
[ROW][C]8[/C][C]0.052105[/C][C]0.4421[/C][C]0.329863[/C][/ROW]
[ROW][C]9[/C][C]0.059018[/C][C]0.5008[/C][C]0.309024[/C][/ROW]
[ROW][C]10[/C][C]-0.008347[/C][C]-0.0708[/C][C]0.471865[/C][/ROW]
[ROW][C]11[/C][C]-0.000839[/C][C]-0.0071[/C][C]0.49717[/C][/ROW]
[ROW][C]12[/C][C]0.092271[/C][C]0.7829[/C][C]0.218114[/C][/ROW]
[ROW][C]13[/C][C]-0.042899[/C][C]-0.364[/C][C]0.358459[/C][/ROW]
[ROW][C]14[/C][C]-0.189998[/C][C]-1.6122[/C][C]0.055648[/C][/ROW]
[ROW][C]15[/C][C]-0.256795[/C][C]-2.179[/C][C]0.016303[/C][/ROW]
[ROW][C]16[/C][C]-0.35129[/C][C]-2.9808[/C][C]0.00196[/C][/ROW]
[ROW][C]17[/C][C]-0.432434[/C][C]-3.6693[/C][C]0.000232[/C][/ROW]
[ROW][C]18[/C][C]-0.370421[/C][C]-3.1431[/C][C]0.001214[/C][/ROW]
[ROW][C]19[/C][C]-0.410335[/C][C]-3.4818[/C][C]0.000425[/C][/ROW]
[ROW][C]20[/C][C]-0.35198[/C][C]-2.9866[/C][C]0.001927[/C][/ROW]
[ROW][C]21[/C][C]-0.267297[/C][C]-2.2681[/C][C]0.013162[/C][/ROW]
[ROW][C]22[/C][C]-0.202311[/C][C]-1.7167[/C][C]0.04517[/C][/ROW]
[ROW][C]23[/C][C]-0.199818[/C][C]-1.6955[/C][C]0.04715[/C][/ROW]
[ROW][C]24[/C][C]-0.062828[/C][C]-0.5331[/C][C]0.297799[/C][/ROW]
[ROW][C]25[/C][C]-0.124106[/C][C]-1.0531[/C][C]0.147914[/C][/ROW]
[ROW][C]26[/C][C]-0.127287[/C][C]-1.0801[/C][C]0.141859[/C][/ROW]
[ROW][C]27[/C][C]-0.12902[/C][C]-1.0948[/C][C]0.138634[/C][/ROW]
[ROW][C]28[/C][C]-0.166852[/C][C]-1.4158[/C][C]0.080575[/C][/ROW]
[ROW][C]29[/C][C]-0.23299[/C][C]-1.977[/C][C]0.025937[/C][/ROW]
[ROW][C]30[/C][C]-0.0903[/C][C]-0.7662[/C][C]0.223025[/C][/ROW]
[ROW][C]31[/C][C]-0.031066[/C][C]-0.2636[/C][C]0.396419[/C][/ROW]
[ROW][C]32[/C][C]0.043458[/C][C]0.3688[/C][C]0.356697[/C][/ROW]
[ROW][C]33[/C][C]0.12058[/C][C]1.0232[/C][C]0.154831[/C][/ROW]
[ROW][C]34[/C][C]0.136942[/C][C]1.162[/C][C]0.124539[/C][/ROW]
[ROW][C]35[/C][C]0.125631[/C][C]1.066[/C][C]0.144989[/C][/ROW]
[ROW][C]36[/C][C]0.178015[/C][C]1.5105[/C][C]0.067646[/C][/ROW]
[ROW][C]37[/C][C]0.129584[/C][C]1.0996[/C][C]0.137594[/C][/ROW]
[ROW][C]38[/C][C]0.07345[/C][C]0.6232[/C][C]0.267547[/C][/ROW]
[ROW][C]39[/C][C]0.083608[/C][C]0.7094[/C][C]0.240172[/C][/ROW]
[ROW][C]40[/C][C]0.028275[/C][C]0.2399[/C][C]0.405535[/C][/ROW]
[ROW][C]41[/C][C]-0.047336[/C][C]-0.4017[/C][C]0.344561[/C][/ROW]
[ROW][C]42[/C][C]-0.014935[/C][C]-0.1267[/C][C]0.449755[/C][/ROW]
[ROW][C]43[/C][C]0.047569[/C][C]0.4036[/C][C]0.343838[/C][/ROW]
[ROW][C]44[/C][C]0.063634[/C][C]0.5399[/C][C]0.295449[/C][/ROW]
[ROW][C]45[/C][C]0.082568[/C][C]0.7006[/C][C]0.242903[/C][/ROW]
[ROW][C]46[/C][C]0.06641[/C][C]0.5635[/C][C]0.287419[/C][/ROW]
[ROW][C]47[/C][C]0.019802[/C][C]0.168[/C][C]0.433517[/C][/ROW]
[ROW][C]48[/C][C]0.055771[/C][C]0.4732[/C][C]0.31874[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142283&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142283&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
10.6473565.4930
20.5116694.34172.3e-05
30.4078553.46080.000455
40.2638452.23880.01413
50.154461.31060.097073
60.1880121.59530.057509
70.0238910.20270.419963
80.0521050.44210.329863
90.0590180.50080.309024
10-0.008347-0.07080.471865
11-0.000839-0.00710.49717
120.0922710.78290.218114
13-0.042899-0.3640.358459
14-0.189998-1.61220.055648
15-0.256795-2.1790.016303
16-0.35129-2.98080.00196
17-0.432434-3.66930.000232
18-0.370421-3.14310.001214
19-0.410335-3.48180.000425
20-0.35198-2.98660.001927
21-0.267297-2.26810.013162
22-0.202311-1.71670.04517
23-0.199818-1.69550.04715
24-0.062828-0.53310.297799
25-0.124106-1.05310.147914
26-0.127287-1.08010.141859
27-0.12902-1.09480.138634
28-0.166852-1.41580.080575
29-0.23299-1.9770.025937
30-0.0903-0.76620.223025
31-0.031066-0.26360.396419
320.0434580.36880.356697
330.120581.02320.154831
340.1369421.1620.124539
350.1256311.0660.144989
360.1780151.51050.067646
370.1295841.09960.137594
380.073450.62320.267547
390.0836080.70940.240172
400.0282750.23990.405535
41-0.047336-0.40170.344561
42-0.014935-0.12670.449755
430.0475690.40360.343838
440.0636340.53990.295449
450.0825680.70060.242903
460.066410.56350.287419
470.0198020.1680.433517
480.0557710.47320.31874







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6473565.4930
20.1593991.35250.090217
30.0463350.39320.34768
4-0.095119-0.80710.21113
5-0.065234-0.55350.290809
60.1688611.43280.078116
7-0.225681-1.9150.029735
80.1277421.08390.141007
90.019770.16780.433622
10-0.084177-0.71430.238686
110.0510820.43340.332993
120.1118680.94920.17284
13-0.184303-1.56390.061117
14-0.346224-2.93780.002219
15-0.077072-0.6540.257604
16-0.044599-0.37840.35311
17-0.172334-1.46230.074005
180.0260090.22070.412977
19-0.036767-0.3120.377978
200.0378490.32120.374509
21-0.047596-0.40390.343754
220.1169750.99260.162123
23-0.069992-0.59390.27722
240.0034240.02910.488452
25-0.113839-0.9660.168649
260.0347290.29470.384541
27-0.020947-0.17770.429714
28-0.144887-1.22940.111461
29-0.090309-0.76630.223003
300.1333521.13150.130794
310.1189461.00930.158108
32-0.046368-0.39340.347576
33-0.059003-0.50070.309071
34-0.065865-0.55890.288987
35-0.057332-0.48650.314051
36-0.062483-0.53020.298807
37-0.005734-0.04870.480666
38-0.058988-0.50050.309115
39-0.029331-0.24890.40208
40-0.020893-0.17730.429893
410.0206240.1750.430786
42-0.084054-0.71320.239006
430.0308310.26160.397185
44-0.063268-0.53680.296515
45-0.067046-0.56890.285596
46-0.075285-0.63880.262484
47-0.004982-0.04230.483199
480.0372690.31620.376368

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.647356 & 5.493 & 0 \tabularnewline
2 & 0.159399 & 1.3525 & 0.090217 \tabularnewline
3 & 0.046335 & 0.3932 & 0.34768 \tabularnewline
4 & -0.095119 & -0.8071 & 0.21113 \tabularnewline
5 & -0.065234 & -0.5535 & 0.290809 \tabularnewline
6 & 0.168861 & 1.4328 & 0.078116 \tabularnewline
7 & -0.225681 & -1.915 & 0.029735 \tabularnewline
8 & 0.127742 & 1.0839 & 0.141007 \tabularnewline
9 & 0.01977 & 0.1678 & 0.433622 \tabularnewline
10 & -0.084177 & -0.7143 & 0.238686 \tabularnewline
11 & 0.051082 & 0.4334 & 0.332993 \tabularnewline
12 & 0.111868 & 0.9492 & 0.17284 \tabularnewline
13 & -0.184303 & -1.5639 & 0.061117 \tabularnewline
14 & -0.346224 & -2.9378 & 0.002219 \tabularnewline
15 & -0.077072 & -0.654 & 0.257604 \tabularnewline
16 & -0.044599 & -0.3784 & 0.35311 \tabularnewline
17 & -0.172334 & -1.4623 & 0.074005 \tabularnewline
18 & 0.026009 & 0.2207 & 0.412977 \tabularnewline
19 & -0.036767 & -0.312 & 0.377978 \tabularnewline
20 & 0.037849 & 0.3212 & 0.374509 \tabularnewline
21 & -0.047596 & -0.4039 & 0.343754 \tabularnewline
22 & 0.116975 & 0.9926 & 0.162123 \tabularnewline
23 & -0.069992 & -0.5939 & 0.27722 \tabularnewline
24 & 0.003424 & 0.0291 & 0.488452 \tabularnewline
25 & -0.113839 & -0.966 & 0.168649 \tabularnewline
26 & 0.034729 & 0.2947 & 0.384541 \tabularnewline
27 & -0.020947 & -0.1777 & 0.429714 \tabularnewline
28 & -0.144887 & -1.2294 & 0.111461 \tabularnewline
29 & -0.090309 & -0.7663 & 0.223003 \tabularnewline
30 & 0.133352 & 1.1315 & 0.130794 \tabularnewline
31 & 0.118946 & 1.0093 & 0.158108 \tabularnewline
32 & -0.046368 & -0.3934 & 0.347576 \tabularnewline
33 & -0.059003 & -0.5007 & 0.309071 \tabularnewline
34 & -0.065865 & -0.5589 & 0.288987 \tabularnewline
35 & -0.057332 & -0.4865 & 0.314051 \tabularnewline
36 & -0.062483 & -0.5302 & 0.298807 \tabularnewline
37 & -0.005734 & -0.0487 & 0.480666 \tabularnewline
38 & -0.058988 & -0.5005 & 0.309115 \tabularnewline
39 & -0.029331 & -0.2489 & 0.40208 \tabularnewline
40 & -0.020893 & -0.1773 & 0.429893 \tabularnewline
41 & 0.020624 & 0.175 & 0.430786 \tabularnewline
42 & -0.084054 & -0.7132 & 0.239006 \tabularnewline
43 & 0.030831 & 0.2616 & 0.397185 \tabularnewline
44 & -0.063268 & -0.5368 & 0.296515 \tabularnewline
45 & -0.067046 & -0.5689 & 0.285596 \tabularnewline
46 & -0.075285 & -0.6388 & 0.262484 \tabularnewline
47 & -0.004982 & -0.0423 & 0.483199 \tabularnewline
48 & 0.037269 & 0.3162 & 0.376368 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142283&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]0.647356[/C][C]5.493[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.159399[/C][C]1.3525[/C][C]0.090217[/C][/ROW]
[ROW][C]3[/C][C]0.046335[/C][C]0.3932[/C][C]0.34768[/C][/ROW]
[ROW][C]4[/C][C]-0.095119[/C][C]-0.8071[/C][C]0.21113[/C][/ROW]
[ROW][C]5[/C][C]-0.065234[/C][C]-0.5535[/C][C]0.290809[/C][/ROW]
[ROW][C]6[/C][C]0.168861[/C][C]1.4328[/C][C]0.078116[/C][/ROW]
[ROW][C]7[/C][C]-0.225681[/C][C]-1.915[/C][C]0.029735[/C][/ROW]
[ROW][C]8[/C][C]0.127742[/C][C]1.0839[/C][C]0.141007[/C][/ROW]
[ROW][C]9[/C][C]0.01977[/C][C]0.1678[/C][C]0.433622[/C][/ROW]
[ROW][C]10[/C][C]-0.084177[/C][C]-0.7143[/C][C]0.238686[/C][/ROW]
[ROW][C]11[/C][C]0.051082[/C][C]0.4334[/C][C]0.332993[/C][/ROW]
[ROW][C]12[/C][C]0.111868[/C][C]0.9492[/C][C]0.17284[/C][/ROW]
[ROW][C]13[/C][C]-0.184303[/C][C]-1.5639[/C][C]0.061117[/C][/ROW]
[ROW][C]14[/C][C]-0.346224[/C][C]-2.9378[/C][C]0.002219[/C][/ROW]
[ROW][C]15[/C][C]-0.077072[/C][C]-0.654[/C][C]0.257604[/C][/ROW]
[ROW][C]16[/C][C]-0.044599[/C][C]-0.3784[/C][C]0.35311[/C][/ROW]
[ROW][C]17[/C][C]-0.172334[/C][C]-1.4623[/C][C]0.074005[/C][/ROW]
[ROW][C]18[/C][C]0.026009[/C][C]0.2207[/C][C]0.412977[/C][/ROW]
[ROW][C]19[/C][C]-0.036767[/C][C]-0.312[/C][C]0.377978[/C][/ROW]
[ROW][C]20[/C][C]0.037849[/C][C]0.3212[/C][C]0.374509[/C][/ROW]
[ROW][C]21[/C][C]-0.047596[/C][C]-0.4039[/C][C]0.343754[/C][/ROW]
[ROW][C]22[/C][C]0.116975[/C][C]0.9926[/C][C]0.162123[/C][/ROW]
[ROW][C]23[/C][C]-0.069992[/C][C]-0.5939[/C][C]0.27722[/C][/ROW]
[ROW][C]24[/C][C]0.003424[/C][C]0.0291[/C][C]0.488452[/C][/ROW]
[ROW][C]25[/C][C]-0.113839[/C][C]-0.966[/C][C]0.168649[/C][/ROW]
[ROW][C]26[/C][C]0.034729[/C][C]0.2947[/C][C]0.384541[/C][/ROW]
[ROW][C]27[/C][C]-0.020947[/C][C]-0.1777[/C][C]0.429714[/C][/ROW]
[ROW][C]28[/C][C]-0.144887[/C][C]-1.2294[/C][C]0.111461[/C][/ROW]
[ROW][C]29[/C][C]-0.090309[/C][C]-0.7663[/C][C]0.223003[/C][/ROW]
[ROW][C]30[/C][C]0.133352[/C][C]1.1315[/C][C]0.130794[/C][/ROW]
[ROW][C]31[/C][C]0.118946[/C][C]1.0093[/C][C]0.158108[/C][/ROW]
[ROW][C]32[/C][C]-0.046368[/C][C]-0.3934[/C][C]0.347576[/C][/ROW]
[ROW][C]33[/C][C]-0.059003[/C][C]-0.5007[/C][C]0.309071[/C][/ROW]
[ROW][C]34[/C][C]-0.065865[/C][C]-0.5589[/C][C]0.288987[/C][/ROW]
[ROW][C]35[/C][C]-0.057332[/C][C]-0.4865[/C][C]0.314051[/C][/ROW]
[ROW][C]36[/C][C]-0.062483[/C][C]-0.5302[/C][C]0.298807[/C][/ROW]
[ROW][C]37[/C][C]-0.005734[/C][C]-0.0487[/C][C]0.480666[/C][/ROW]
[ROW][C]38[/C][C]-0.058988[/C][C]-0.5005[/C][C]0.309115[/C][/ROW]
[ROW][C]39[/C][C]-0.029331[/C][C]-0.2489[/C][C]0.40208[/C][/ROW]
[ROW][C]40[/C][C]-0.020893[/C][C]-0.1773[/C][C]0.429893[/C][/ROW]
[ROW][C]41[/C][C]0.020624[/C][C]0.175[/C][C]0.430786[/C][/ROW]
[ROW][C]42[/C][C]-0.084054[/C][C]-0.7132[/C][C]0.239006[/C][/ROW]
[ROW][C]43[/C][C]0.030831[/C][C]0.2616[/C][C]0.397185[/C][/ROW]
[ROW][C]44[/C][C]-0.063268[/C][C]-0.5368[/C][C]0.296515[/C][/ROW]
[ROW][C]45[/C][C]-0.067046[/C][C]-0.5689[/C][C]0.285596[/C][/ROW]
[ROW][C]46[/C][C]-0.075285[/C][C]-0.6388[/C][C]0.262484[/C][/ROW]
[ROW][C]47[/C][C]-0.004982[/C][C]-0.0423[/C][C]0.483199[/C][/ROW]
[ROW][C]48[/C][C]0.037269[/C][C]0.3162[/C][C]0.376368[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142283&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142283&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
10.6473565.4930
20.1593991.35250.090217
30.0463350.39320.34768
4-0.095119-0.80710.21113
5-0.065234-0.55350.290809
60.1688611.43280.078116
7-0.225681-1.9150.029735
80.1277421.08390.141007
90.019770.16780.433622
10-0.084177-0.71430.238686
110.0510820.43340.332993
120.1118680.94920.17284
13-0.184303-1.56390.061117
14-0.346224-2.93780.002219
15-0.077072-0.6540.257604
16-0.044599-0.37840.35311
17-0.172334-1.46230.074005
180.0260090.22070.412977
19-0.036767-0.3120.377978
200.0378490.32120.374509
21-0.047596-0.40390.343754
220.1169750.99260.162123
23-0.069992-0.59390.27722
240.0034240.02910.488452
25-0.113839-0.9660.168649
260.0347290.29470.384541
27-0.020947-0.17770.429714
28-0.144887-1.22940.111461
29-0.090309-0.76630.223003
300.1333521.13150.130794
310.1189461.00930.158108
32-0.046368-0.39340.347576
33-0.059003-0.50070.309071
34-0.065865-0.55890.288987
35-0.057332-0.48650.314051
36-0.062483-0.53020.298807
37-0.005734-0.04870.480666
38-0.058988-0.50050.309115
39-0.029331-0.24890.40208
40-0.020893-0.17730.429893
410.0206240.1750.430786
42-0.084054-0.71320.239006
430.0308310.26160.397185
44-0.063268-0.53680.296515
45-0.067046-0.56890.285596
46-0.075285-0.63880.262484
47-0.004982-0.04230.483199
480.0372690.31620.376368



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')