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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 11 Apr 2011 15:43:12 +0000
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/Apr/11/t1302536452k45x4mpwz75v9lf.htm/, Retrieved Thu, 09 May 2024 18:40:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=120471, Retrieved Thu, 09 May 2024 18:40:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact143

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inschrijvingen ni...] [2011-04-11 15:43:12] [8408ae72b9c03ee1c59e868ccc07a80d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17
16.7
15.4
15.1
16.1
17
16.1
14.3
16.1
14.8
15.9
17.6
15.9
14.8
16.5
15.6
14.6
17.1
15.2
14.8
15.4
16.6
15.1
15.4
15.2
16.6
16.1
15.7
15.8
15.7
16.9
15.9
17.1
17
16.6
17.1
16.6
16.6
16.5
17
15.9
17
16.1
16.1
16.8
16.7
15.7
18.7
16.1
16.3
17.2
16.1
16.5
16.5
15.1
16.7
14.4
16.2
15.9
17.3
15.6
15.6
14.7
15.8
15.8
14.8
16.1
16.3
16.1
17.4
16.7
16.1
15.4
16.9
15.5
17.6
18.4
15.9
15.2
15.5
15.9
15.8
17.6
18.2
15.9
15.7
16.4
15.6
15.8
17
16.8
16.6
17.7
15.7
18
18.2
16.4
18
16.3

Tables (Output of Computation)





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' @ www.yougetit.org

\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' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120471&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' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120471&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120471&T=0

As an alternative you can also use a QR Code:  
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' @ www.yougetit.org






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.476563-4.71774e-06
2-0.081516-0.8070.21082
30.1806081.78790.038439
4-0.144522-1.43070.07785
5-0.127149-1.25870.105563
60.2467382.44260.008187
7-0.03257-0.32240.37391
8-0.072837-0.7210.236299
90.0537590.53220.2979
10-0.031218-0.3090.378972
11-0.069536-0.68840.246421
120.1019951.00970.157563
13-0.070654-0.69940.242967
140.0833540.82520.205642
15-0.11293-1.1180.13316
160.1270861.25810.105674
17-0.049305-0.48810.313287
18-0.049696-0.4920.311922
190.0346740.34330.36607
200.0015960.01580.493714
21-0.056711-0.56140.287901
220.1206471.19430.117613
23-0.107273-1.06190.145435
240.0523960.51870.302571
25-0.007919-0.07840.468837
260.0299030.2960.38392
27-0.067388-0.66710.253136
280.0560720.55510.290051
29-0.04425-0.4380.331157
300.0281430.27860.390569
31-0.007706-0.07630.469675
32-0.06746-0.66780.252909
330.084670.83820.201983
34-0.040239-0.39830.345622
35-0.063759-0.63120.264696
360.1531341.51590.066376
37-0.093551-0.92610.178331
380.0110930.10980.456392
390.057230.56650.286158
40-0.070218-0.69510.244312
41-0.06065-0.60040.274811
420.1488641.47370.071887
43-0.090388-0.89480.186546
440.0186950.18510.426778
450.0521530.51630.303407
46-0.13323-1.31890.095136
470.1182381.17050.122319
48-0.02002-0.19820.421653

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.476563 & -4.7177 & 4e-06 \tabularnewline
2 & -0.081516 & -0.807 & 0.21082 \tabularnewline
3 & 0.180608 & 1.7879 & 0.038439 \tabularnewline
4 & -0.144522 & -1.4307 & 0.07785 \tabularnewline
5 & -0.127149 & -1.2587 & 0.105563 \tabularnewline
6 & 0.246738 & 2.4426 & 0.008187 \tabularnewline
7 & -0.03257 & -0.3224 & 0.37391 \tabularnewline
8 & -0.072837 & -0.721 & 0.236299 \tabularnewline
9 & 0.053759 & 0.5322 & 0.2979 \tabularnewline
10 & -0.031218 & -0.309 & 0.378972 \tabularnewline
11 & -0.069536 & -0.6884 & 0.246421 \tabularnewline
12 & 0.101995 & 1.0097 & 0.157563 \tabularnewline
13 & -0.070654 & -0.6994 & 0.242967 \tabularnewline
14 & 0.083354 & 0.8252 & 0.205642 \tabularnewline
15 & -0.11293 & -1.118 & 0.13316 \tabularnewline
16 & 0.127086 & 1.2581 & 0.105674 \tabularnewline
17 & -0.049305 & -0.4881 & 0.313287 \tabularnewline
18 & -0.049696 & -0.492 & 0.311922 \tabularnewline
19 & 0.034674 & 0.3433 & 0.36607 \tabularnewline
20 & 0.001596 & 0.0158 & 0.493714 \tabularnewline
21 & -0.056711 & -0.5614 & 0.287901 \tabularnewline
22 & 0.120647 & 1.1943 & 0.117613 \tabularnewline
23 & -0.107273 & -1.0619 & 0.145435 \tabularnewline
24 & 0.052396 & 0.5187 & 0.302571 \tabularnewline
25 & -0.007919 & -0.0784 & 0.468837 \tabularnewline
26 & 0.029903 & 0.296 & 0.38392 \tabularnewline
27 & -0.067388 & -0.6671 & 0.253136 \tabularnewline
28 & 0.056072 & 0.5551 & 0.290051 \tabularnewline
29 & -0.04425 & -0.438 & 0.331157 \tabularnewline
30 & 0.028143 & 0.2786 & 0.390569 \tabularnewline
31 & -0.007706 & -0.0763 & 0.469675 \tabularnewline
32 & -0.06746 & -0.6678 & 0.252909 \tabularnewline
33 & 0.08467 & 0.8382 & 0.201983 \tabularnewline
34 & -0.040239 & -0.3983 & 0.345622 \tabularnewline
35 & -0.063759 & -0.6312 & 0.264696 \tabularnewline
36 & 0.153134 & 1.5159 & 0.066376 \tabularnewline
37 & -0.093551 & -0.9261 & 0.178331 \tabularnewline
38 & 0.011093 & 0.1098 & 0.456392 \tabularnewline
39 & 0.05723 & 0.5665 & 0.286158 \tabularnewline
40 & -0.070218 & -0.6951 & 0.244312 \tabularnewline
41 & -0.06065 & -0.6004 & 0.274811 \tabularnewline
42 & 0.148864 & 1.4737 & 0.071887 \tabularnewline
43 & -0.090388 & -0.8948 & 0.186546 \tabularnewline
44 & 0.018695 & 0.1851 & 0.426778 \tabularnewline
45 & 0.052153 & 0.5163 & 0.303407 \tabularnewline
46 & -0.13323 & -1.3189 & 0.095136 \tabularnewline
47 & 0.118238 & 1.1705 & 0.122319 \tabularnewline
48 & -0.02002 & -0.1982 & 0.421653 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120471&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]-0.476563[/C][C]-4.7177[/C][C]4e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.081516[/C][C]-0.807[/C][C]0.21082[/C][/ROW]
[ROW][C]3[/C][C]0.180608[/C][C]1.7879[/C][C]0.038439[/C][/ROW]
[ROW][C]4[/C][C]-0.144522[/C][C]-1.4307[/C][C]0.07785[/C][/ROW]
[ROW][C]5[/C][C]-0.127149[/C][C]-1.2587[/C][C]0.105563[/C][/ROW]
[ROW][C]6[/C][C]0.246738[/C][C]2.4426[/C][C]0.008187[/C][/ROW]
[ROW][C]7[/C][C]-0.03257[/C][C]-0.3224[/C][C]0.37391[/C][/ROW]
[ROW][C]8[/C][C]-0.072837[/C][C]-0.721[/C][C]0.236299[/C][/ROW]
[ROW][C]9[/C][C]0.053759[/C][C]0.5322[/C][C]0.2979[/C][/ROW]
[ROW][C]10[/C][C]-0.031218[/C][C]-0.309[/C][C]0.378972[/C][/ROW]
[ROW][C]11[/C][C]-0.069536[/C][C]-0.6884[/C][C]0.246421[/C][/ROW]
[ROW][C]12[/C][C]0.101995[/C][C]1.0097[/C][C]0.157563[/C][/ROW]
[ROW][C]13[/C][C]-0.070654[/C][C]-0.6994[/C][C]0.242967[/C][/ROW]
[ROW][C]14[/C][C]0.083354[/C][C]0.8252[/C][C]0.205642[/C][/ROW]
[ROW][C]15[/C][C]-0.11293[/C][C]-1.118[/C][C]0.13316[/C][/ROW]
[ROW][C]16[/C][C]0.127086[/C][C]1.2581[/C][C]0.105674[/C][/ROW]
[ROW][C]17[/C][C]-0.049305[/C][C]-0.4881[/C][C]0.313287[/C][/ROW]
[ROW][C]18[/C][C]-0.049696[/C][C]-0.492[/C][C]0.311922[/C][/ROW]
[ROW][C]19[/C][C]0.034674[/C][C]0.3433[/C][C]0.36607[/C][/ROW]
[ROW][C]20[/C][C]0.001596[/C][C]0.0158[/C][C]0.493714[/C][/ROW]
[ROW][C]21[/C][C]-0.056711[/C][C]-0.5614[/C][C]0.287901[/C][/ROW]
[ROW][C]22[/C][C]0.120647[/C][C]1.1943[/C][C]0.117613[/C][/ROW]
[ROW][C]23[/C][C]-0.107273[/C][C]-1.0619[/C][C]0.145435[/C][/ROW]
[ROW][C]24[/C][C]0.052396[/C][C]0.5187[/C][C]0.302571[/C][/ROW]
[ROW][C]25[/C][C]-0.007919[/C][C]-0.0784[/C][C]0.468837[/C][/ROW]
[ROW][C]26[/C][C]0.029903[/C][C]0.296[/C][C]0.38392[/C][/ROW]
[ROW][C]27[/C][C]-0.067388[/C][C]-0.6671[/C][C]0.253136[/C][/ROW]
[ROW][C]28[/C][C]0.056072[/C][C]0.5551[/C][C]0.290051[/C][/ROW]
[ROW][C]29[/C][C]-0.04425[/C][C]-0.438[/C][C]0.331157[/C][/ROW]
[ROW][C]30[/C][C]0.028143[/C][C]0.2786[/C][C]0.390569[/C][/ROW]
[ROW][C]31[/C][C]-0.007706[/C][C]-0.0763[/C][C]0.469675[/C][/ROW]
[ROW][C]32[/C][C]-0.06746[/C][C]-0.6678[/C][C]0.252909[/C][/ROW]
[ROW][C]33[/C][C]0.08467[/C][C]0.8382[/C][C]0.201983[/C][/ROW]
[ROW][C]34[/C][C]-0.040239[/C][C]-0.3983[/C][C]0.345622[/C][/ROW]
[ROW][C]35[/C][C]-0.063759[/C][C]-0.6312[/C][C]0.264696[/C][/ROW]
[ROW][C]36[/C][C]0.153134[/C][C]1.5159[/C][C]0.066376[/C][/ROW]
[ROW][C]37[/C][C]-0.093551[/C][C]-0.9261[/C][C]0.178331[/C][/ROW]
[ROW][C]38[/C][C]0.011093[/C][C]0.1098[/C][C]0.456392[/C][/ROW]
[ROW][C]39[/C][C]0.05723[/C][C]0.5665[/C][C]0.286158[/C][/ROW]
[ROW][C]40[/C][C]-0.070218[/C][C]-0.6951[/C][C]0.244312[/C][/ROW]
[ROW][C]41[/C][C]-0.06065[/C][C]-0.6004[/C][C]0.274811[/C][/ROW]
[ROW][C]42[/C][C]0.148864[/C][C]1.4737[/C][C]0.071887[/C][/ROW]
[ROW][C]43[/C][C]-0.090388[/C][C]-0.8948[/C][C]0.186546[/C][/ROW]
[ROW][C]44[/C][C]0.018695[/C][C]0.1851[/C][C]0.426778[/C][/ROW]
[ROW][C]45[/C][C]0.052153[/C][C]0.5163[/C][C]0.303407[/C][/ROW]
[ROW][C]46[/C][C]-0.13323[/C][C]-1.3189[/C][C]0.095136[/C][/ROW]
[ROW][C]47[/C][C]0.118238[/C][C]1.1705[/C][C]0.122319[/C][/ROW]
[ROW][C]48[/C][C]-0.02002[/C][C]-0.1982[/C][C]0.421653[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120471&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120471&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.476563-4.71774e-06
2-0.081516-0.8070.21082
30.1806081.78790.038439
4-0.144522-1.43070.07785
5-0.127149-1.25870.105563
60.2467382.44260.008187
7-0.03257-0.32240.37391
8-0.072837-0.7210.236299
90.0537590.53220.2979
10-0.031218-0.3090.378972
11-0.069536-0.68840.246421
120.1019951.00970.157563
13-0.070654-0.69940.242967
140.0833540.82520.205642
15-0.11293-1.1180.13316
160.1270861.25810.105674
17-0.049305-0.48810.313287
18-0.049696-0.4920.311922
190.0346740.34330.36607
200.0015960.01580.493714
21-0.056711-0.56140.287901
220.1206471.19430.117613
23-0.107273-1.06190.145435
240.0523960.51870.302571
25-0.007919-0.07840.468837
260.0299030.2960.38392
27-0.067388-0.66710.253136
280.0560720.55510.290051
29-0.04425-0.4380.331157
300.0281430.27860.390569
31-0.007706-0.07630.469675
32-0.06746-0.66780.252909
330.084670.83820.201983
34-0.040239-0.39830.345622
35-0.063759-0.63120.264696
360.1531341.51590.066376
37-0.093551-0.92610.178331
380.0110930.10980.456392
390.057230.56650.286158
40-0.070218-0.69510.244312
41-0.06065-0.60040.274811
420.1488641.47370.071887
43-0.090388-0.89480.186546
440.0186950.18510.426778
450.0521530.51630.303407
46-0.13323-1.31890.095136
470.1182381.17050.122319
48-0.02002-0.19820.421653






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.476563-4.71774e-06
2-0.399319-3.95317.3e-05
3-0.098596-0.97610.165721
4-0.158345-1.56750.060107
5-0.361591-3.57960.000269
6-0.136641-1.35270.089636
70.013970.13830.445145
80.0266850.26420.396101
9-0.018997-0.18810.425607
10-0.028147-0.27860.390554
11-0.042957-0.42530.335793
120.0279490.27670.391302
13-0.093256-0.92320.179088
140.0291560.28860.386739
15-0.138624-1.37230.086551
160.0484910.480.316137
170.0616420.61020.271561
18-0.003456-0.03420.48639
19-0.032006-0.31680.376018
20-0.04351-0.43070.333807
21-0.05435-0.5380.295886
220.0501750.49670.310255
23-0.10642-1.05350.14735
24-0.020467-0.20260.419929
25-0.016591-0.16420.434939
260.0911040.90190.184665
270.0407010.40290.343944
28-0.017875-0.17690.429956
29-0.022755-0.22530.411122
300.0134790.13340.447061
310.003230.0320.487279
32-0.179001-1.7720.03975
33-0.108821-1.07730.142001
34-0.104963-1.03910.150662
35-0.1503-1.48790.069995
36-0.047554-0.47080.31943
37-0.045156-0.4470.327922
38-0.011244-0.11130.4558
390.0936060.92660.178193
400.0282580.27970.390134
41-0.074959-0.74210.229915
42-0.019633-0.19440.423148
43-0.033414-0.33080.370759
440.0109280.10820.457037
45-0.007304-0.07230.471255
46-0.17799-1.7620.040593
470.0317960.31480.376803
480.0442270.43780.331239

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.476563 & -4.7177 & 4e-06 \tabularnewline
2 & -0.399319 & -3.9531 & 7.3e-05 \tabularnewline
3 & -0.098596 & -0.9761 & 0.165721 \tabularnewline
4 & -0.158345 & -1.5675 & 0.060107 \tabularnewline
5 & -0.361591 & -3.5796 & 0.000269 \tabularnewline
6 & -0.136641 & -1.3527 & 0.089636 \tabularnewline
7 & 0.01397 & 0.1383 & 0.445145 \tabularnewline
8 & 0.026685 & 0.2642 & 0.396101 \tabularnewline
9 & -0.018997 & -0.1881 & 0.425607 \tabularnewline
10 & -0.028147 & -0.2786 & 0.390554 \tabularnewline
11 & -0.042957 & -0.4253 & 0.335793 \tabularnewline
12 & 0.027949 & 0.2767 & 0.391302 \tabularnewline
13 & -0.093256 & -0.9232 & 0.179088 \tabularnewline
14 & 0.029156 & 0.2886 & 0.386739 \tabularnewline
15 & -0.138624 & -1.3723 & 0.086551 \tabularnewline
16 & 0.048491 & 0.48 & 0.316137 \tabularnewline
17 & 0.061642 & 0.6102 & 0.271561 \tabularnewline
18 & -0.003456 & -0.0342 & 0.48639 \tabularnewline
19 & -0.032006 & -0.3168 & 0.376018 \tabularnewline
20 & -0.04351 & -0.4307 & 0.333807 \tabularnewline
21 & -0.05435 & -0.538 & 0.295886 \tabularnewline
22 & 0.050175 & 0.4967 & 0.310255 \tabularnewline
23 & -0.10642 & -1.0535 & 0.14735 \tabularnewline
24 & -0.020467 & -0.2026 & 0.419929 \tabularnewline
25 & -0.016591 & -0.1642 & 0.434939 \tabularnewline
26 & 0.091104 & 0.9019 & 0.184665 \tabularnewline
27 & 0.040701 & 0.4029 & 0.343944 \tabularnewline
28 & -0.017875 & -0.1769 & 0.429956 \tabularnewline
29 & -0.022755 & -0.2253 & 0.411122 \tabularnewline
30 & 0.013479 & 0.1334 & 0.447061 \tabularnewline
31 & 0.00323 & 0.032 & 0.487279 \tabularnewline
32 & -0.179001 & -1.772 & 0.03975 \tabularnewline
33 & -0.108821 & -1.0773 & 0.142001 \tabularnewline
34 & -0.104963 & -1.0391 & 0.150662 \tabularnewline
35 & -0.1503 & -1.4879 & 0.069995 \tabularnewline
36 & -0.047554 & -0.4708 & 0.31943 \tabularnewline
37 & -0.045156 & -0.447 & 0.327922 \tabularnewline
38 & -0.011244 & -0.1113 & 0.4558 \tabularnewline
39 & 0.093606 & 0.9266 & 0.178193 \tabularnewline
40 & 0.028258 & 0.2797 & 0.390134 \tabularnewline
41 & -0.074959 & -0.7421 & 0.229915 \tabularnewline
42 & -0.019633 & -0.1944 & 0.423148 \tabularnewline
43 & -0.033414 & -0.3308 & 0.370759 \tabularnewline
44 & 0.010928 & 0.1082 & 0.457037 \tabularnewline
45 & -0.007304 & -0.0723 & 0.471255 \tabularnewline
46 & -0.17799 & -1.762 & 0.040593 \tabularnewline
47 & 0.031796 & 0.3148 & 0.376803 \tabularnewline
48 & 0.044227 & 0.4378 & 0.331239 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120471&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]-0.476563[/C][C]-4.7177[/C][C]4e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.399319[/C][C]-3.9531[/C][C]7.3e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.098596[/C][C]-0.9761[/C][C]0.165721[/C][/ROW]
[ROW][C]4[/C][C]-0.158345[/C][C]-1.5675[/C][C]0.060107[/C][/ROW]
[ROW][C]5[/C][C]-0.361591[/C][C]-3.5796[/C][C]0.000269[/C][/ROW]
[ROW][C]6[/C][C]-0.136641[/C][C]-1.3527[/C][C]0.089636[/C][/ROW]
[ROW][C]7[/C][C]0.01397[/C][C]0.1383[/C][C]0.445145[/C][/ROW]
[ROW][C]8[/C][C]0.026685[/C][C]0.2642[/C][C]0.396101[/C][/ROW]
[ROW][C]9[/C][C]-0.018997[/C][C]-0.1881[/C][C]0.425607[/C][/ROW]
[ROW][C]10[/C][C]-0.028147[/C][C]-0.2786[/C][C]0.390554[/C][/ROW]
[ROW][C]11[/C][C]-0.042957[/C][C]-0.4253[/C][C]0.335793[/C][/ROW]
[ROW][C]12[/C][C]0.027949[/C][C]0.2767[/C][C]0.391302[/C][/ROW]
[ROW][C]13[/C][C]-0.093256[/C][C]-0.9232[/C][C]0.179088[/C][/ROW]
[ROW][C]14[/C][C]0.029156[/C][C]0.2886[/C][C]0.386739[/C][/ROW]
[ROW][C]15[/C][C]-0.138624[/C][C]-1.3723[/C][C]0.086551[/C][/ROW]
[ROW][C]16[/C][C]0.048491[/C][C]0.48[/C][C]0.316137[/C][/ROW]
[ROW][C]17[/C][C]0.061642[/C][C]0.6102[/C][C]0.271561[/C][/ROW]
[ROW][C]18[/C][C]-0.003456[/C][C]-0.0342[/C][C]0.48639[/C][/ROW]
[ROW][C]19[/C][C]-0.032006[/C][C]-0.3168[/C][C]0.376018[/C][/ROW]
[ROW][C]20[/C][C]-0.04351[/C][C]-0.4307[/C][C]0.333807[/C][/ROW]
[ROW][C]21[/C][C]-0.05435[/C][C]-0.538[/C][C]0.295886[/C][/ROW]
[ROW][C]22[/C][C]0.050175[/C][C]0.4967[/C][C]0.310255[/C][/ROW]
[ROW][C]23[/C][C]-0.10642[/C][C]-1.0535[/C][C]0.14735[/C][/ROW]
[ROW][C]24[/C][C]-0.020467[/C][C]-0.2026[/C][C]0.419929[/C][/ROW]
[ROW][C]25[/C][C]-0.016591[/C][C]-0.1642[/C][C]0.434939[/C][/ROW]
[ROW][C]26[/C][C]0.091104[/C][C]0.9019[/C][C]0.184665[/C][/ROW]
[ROW][C]27[/C][C]0.040701[/C][C]0.4029[/C][C]0.343944[/C][/ROW]
[ROW][C]28[/C][C]-0.017875[/C][C]-0.1769[/C][C]0.429956[/C][/ROW]
[ROW][C]29[/C][C]-0.022755[/C][C]-0.2253[/C][C]0.411122[/C][/ROW]
[ROW][C]30[/C][C]0.013479[/C][C]0.1334[/C][C]0.447061[/C][/ROW]
[ROW][C]31[/C][C]0.00323[/C][C]0.032[/C][C]0.487279[/C][/ROW]
[ROW][C]32[/C][C]-0.179001[/C][C]-1.772[/C][C]0.03975[/C][/ROW]
[ROW][C]33[/C][C]-0.108821[/C][C]-1.0773[/C][C]0.142001[/C][/ROW]
[ROW][C]34[/C][C]-0.104963[/C][C]-1.0391[/C][C]0.150662[/C][/ROW]
[ROW][C]35[/C][C]-0.1503[/C][C]-1.4879[/C][C]0.069995[/C][/ROW]
[ROW][C]36[/C][C]-0.047554[/C][C]-0.4708[/C][C]0.31943[/C][/ROW]
[ROW][C]37[/C][C]-0.045156[/C][C]-0.447[/C][C]0.327922[/C][/ROW]
[ROW][C]38[/C][C]-0.011244[/C][C]-0.1113[/C][C]0.4558[/C][/ROW]
[ROW][C]39[/C][C]0.093606[/C][C]0.9266[/C][C]0.178193[/C][/ROW]
[ROW][C]40[/C][C]0.028258[/C][C]0.2797[/C][C]0.390134[/C][/ROW]
[ROW][C]41[/C][C]-0.074959[/C][C]-0.7421[/C][C]0.229915[/C][/ROW]
[ROW][C]42[/C][C]-0.019633[/C][C]-0.1944[/C][C]0.423148[/C][/ROW]
[ROW][C]43[/C][C]-0.033414[/C][C]-0.3308[/C][C]0.370759[/C][/ROW]
[ROW][C]44[/C][C]0.010928[/C][C]0.1082[/C][C]0.457037[/C][/ROW]
[ROW][C]45[/C][C]-0.007304[/C][C]-0.0723[/C][C]0.471255[/C][/ROW]
[ROW][C]46[/C][C]-0.17799[/C][C]-1.762[/C][C]0.040593[/C][/ROW]
[ROW][C]47[/C][C]0.031796[/C][C]0.3148[/C][C]0.376803[/C][/ROW]
[ROW][C]48[/C][C]0.044227[/C][C]0.4378[/C][C]0.331239[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120471&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120471&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.476563-4.71774e-06
2-0.399319-3.95317.3e-05
3-0.098596-0.97610.165721
4-0.158345-1.56750.060107
5-0.361591-3.57960.000269
6-0.136641-1.35270.089636
70.013970.13830.445145
80.0266850.26420.396101
9-0.018997-0.18810.425607
10-0.028147-0.27860.390554
11-0.042957-0.42530.335793
120.0279490.27670.391302
13-0.093256-0.92320.179088
140.0291560.28860.386739
15-0.138624-1.37230.086551
160.0484910.480.316137
170.0616420.61020.271561
18-0.003456-0.03420.48639
19-0.032006-0.31680.376018
20-0.04351-0.43070.333807
21-0.05435-0.5380.295886
220.0501750.49670.310255
23-0.10642-1.05350.14735
24-0.020467-0.20260.419929
25-0.016591-0.16420.434939
260.0911040.90190.184665
270.0407010.40290.343944
28-0.017875-0.17690.429956
29-0.022755-0.22530.411122
300.0134790.13340.447061
310.003230.0320.487279
32-0.179001-1.7720.03975
33-0.108821-1.07730.142001
34-0.104963-1.03910.150662
35-0.1503-1.48790.069995
36-0.047554-0.47080.31943
37-0.045156-0.4470.327922
38-0.011244-0.11130.4558
390.0936060.92660.178193
400.0282580.27970.390134
41-0.074959-0.74210.229915
42-0.019633-0.19440.423148
43-0.033414-0.33080.370759
440.0109280.10820.457037
45-0.007304-0.07230.471255
46-0.17799-1.7620.040593
470.0317960.31480.376803
480.0442270.43780.331239


Figures (Output of Computation)

Input Parameters & R Code

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')