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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 computationTue, 10 Aug 2010 14:37:31 +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/2010/Aug/10/t1281451084nxtc4ip2pt8z642.htm/, Retrieved Sat, 04 May 2024 23:53:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78584, Retrieved Sat, 04 May 2024 23:53:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPlatini Olivier
Estimated Impact167

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] [Tijdreeks A - Sta...] [2010-08-10 14:37:31] [49dea061148f13f4e9d1975b9f021cec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94
93
92
90
110
109
94
84
85
85
86
88
93
94
90
91
104
103
88
79
82
88
93
89
94
96
94
92
113
122
107
98
103
110
113
110
123
124
118
117
139
146
134
121
123
122
127
122
139
136
127
123
140
146
138
120
122
115
115
102
119
114
108
102
121
109
102
95
98
92
94
90
113
111
103
90
108
99
95
91
85
72
90
90
114
115
104
93
101
90
79
75
71
61
84
87
107
99
93
74
87
71
67
61
63
52
80
84
102
93
87
72
83
72
66
64
64
47
77
79

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78584&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78584&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78584&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.116684-1.27290.102772
2-0.062364-0.68030.248814
3-0.279593-3.050.001411
40.2480952.70640.003901
5-0.32122-3.50410.000323
60.1258741.37310.086148
7-0.247956-2.70490.003918
80.2526932.75660.003381
9-0.2808-3.06320.001354
10-0.008401-0.09160.463566
11-0.079688-0.86930.193218
120.8008598.73630
13-0.112015-1.22190.112073
14-0.098681-1.07650.141945
15-0.231451-2.52480.006446
160.2082432.27170.012452
17-0.324377-3.53850.000287
180.0998881.08960.139035
19-0.161743-1.76440.040115
200.2458752.68220.004177
21-0.235601-2.57010.0057
22-0.016004-0.17460.430852
23-0.081779-0.89210.187069
240.6294496.86650
25-0.108877-1.18770.118657
26-0.108123-1.17950.120279
27-0.186652-2.03610.021978
280.1499711.6360.052242
29-0.298874-3.26030.000726
300.0723250.7890.215848
31-0.048182-0.52560.30007
320.2390652.60790.005139
33-0.213852-2.33280.010668
340.0007810.00850.49661
35-0.083306-0.90880.182656
360.4749815.18140
37-0.129062-1.40790.080884
38-0.049588-0.54090.29478
39-0.146537-1.59850.056288
400.1092711.1920.117816
41-0.275202-3.00210.001634
420.0941561.02710.153224
430.0032560.03550.485862
440.2308232.5180.006566
45-0.18148-1.97970.025022
460.000310.00340.498654
47-0.062013-0.67650.250025
480.3073413.35270.000537

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.116684 & -1.2729 & 0.102772 \tabularnewline
2 & -0.062364 & -0.6803 & 0.248814 \tabularnewline
3 & -0.279593 & -3.05 & 0.001411 \tabularnewline
4 & 0.248095 & 2.7064 & 0.003901 \tabularnewline
5 & -0.32122 & -3.5041 & 0.000323 \tabularnewline
6 & 0.125874 & 1.3731 & 0.086148 \tabularnewline
7 & -0.247956 & -2.7049 & 0.003918 \tabularnewline
8 & 0.252693 & 2.7566 & 0.003381 \tabularnewline
9 & -0.2808 & -3.0632 & 0.001354 \tabularnewline
10 & -0.008401 & -0.0916 & 0.463566 \tabularnewline
11 & -0.079688 & -0.8693 & 0.193218 \tabularnewline
12 & 0.800859 & 8.7363 & 0 \tabularnewline
13 & -0.112015 & -1.2219 & 0.112073 \tabularnewline
14 & -0.098681 & -1.0765 & 0.141945 \tabularnewline
15 & -0.231451 & -2.5248 & 0.006446 \tabularnewline
16 & 0.208243 & 2.2717 & 0.012452 \tabularnewline
17 & -0.324377 & -3.5385 & 0.000287 \tabularnewline
18 & 0.099888 & 1.0896 & 0.139035 \tabularnewline
19 & -0.161743 & -1.7644 & 0.040115 \tabularnewline
20 & 0.245875 & 2.6822 & 0.004177 \tabularnewline
21 & -0.235601 & -2.5701 & 0.0057 \tabularnewline
22 & -0.016004 & -0.1746 & 0.430852 \tabularnewline
23 & -0.081779 & -0.8921 & 0.187069 \tabularnewline
24 & 0.629449 & 6.8665 & 0 \tabularnewline
25 & -0.108877 & -1.1877 & 0.118657 \tabularnewline
26 & -0.108123 & -1.1795 & 0.120279 \tabularnewline
27 & -0.186652 & -2.0361 & 0.021978 \tabularnewline
28 & 0.149971 & 1.636 & 0.052242 \tabularnewline
29 & -0.298874 & -3.2603 & 0.000726 \tabularnewline
30 & 0.072325 & 0.789 & 0.215848 \tabularnewline
31 & -0.048182 & -0.5256 & 0.30007 \tabularnewline
32 & 0.239065 & 2.6079 & 0.005139 \tabularnewline
33 & -0.213852 & -2.3328 & 0.010668 \tabularnewline
34 & 0.000781 & 0.0085 & 0.49661 \tabularnewline
35 & -0.083306 & -0.9088 & 0.182656 \tabularnewline
36 & 0.474981 & 5.1814 & 0 \tabularnewline
37 & -0.129062 & -1.4079 & 0.080884 \tabularnewline
38 & -0.049588 & -0.5409 & 0.29478 \tabularnewline
39 & -0.146537 & -1.5985 & 0.056288 \tabularnewline
40 & 0.109271 & 1.192 & 0.117816 \tabularnewline
41 & -0.275202 & -3.0021 & 0.001634 \tabularnewline
42 & 0.094156 & 1.0271 & 0.153224 \tabularnewline
43 & 0.003256 & 0.0355 & 0.485862 \tabularnewline
44 & 0.230823 & 2.518 & 0.006566 \tabularnewline
45 & -0.18148 & -1.9797 & 0.025022 \tabularnewline
46 & 0.00031 & 0.0034 & 0.498654 \tabularnewline
47 & -0.062013 & -0.6765 & 0.250025 \tabularnewline
48 & 0.307341 & 3.3527 & 0.000537 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78584&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]-0.116684[/C][C]-1.2729[/C][C]0.102772[/C][/ROW]
[ROW][C]2[/C][C]-0.062364[/C][C]-0.6803[/C][C]0.248814[/C][/ROW]
[ROW][C]3[/C][C]-0.279593[/C][C]-3.05[/C][C]0.001411[/C][/ROW]
[ROW][C]4[/C][C]0.248095[/C][C]2.7064[/C][C]0.003901[/C][/ROW]
[ROW][C]5[/C][C]-0.32122[/C][C]-3.5041[/C][C]0.000323[/C][/ROW]
[ROW][C]6[/C][C]0.125874[/C][C]1.3731[/C][C]0.086148[/C][/ROW]
[ROW][C]7[/C][C]-0.247956[/C][C]-2.7049[/C][C]0.003918[/C][/ROW]
[ROW][C]8[/C][C]0.252693[/C][C]2.7566[/C][C]0.003381[/C][/ROW]
[ROW][C]9[/C][C]-0.2808[/C][C]-3.0632[/C][C]0.001354[/C][/ROW]
[ROW][C]10[/C][C]-0.008401[/C][C]-0.0916[/C][C]0.463566[/C][/ROW]
[ROW][C]11[/C][C]-0.079688[/C][C]-0.8693[/C][C]0.193218[/C][/ROW]
[ROW][C]12[/C][C]0.800859[/C][C]8.7363[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.112015[/C][C]-1.2219[/C][C]0.112073[/C][/ROW]
[ROW][C]14[/C][C]-0.098681[/C][C]-1.0765[/C][C]0.141945[/C][/ROW]
[ROW][C]15[/C][C]-0.231451[/C][C]-2.5248[/C][C]0.006446[/C][/ROW]
[ROW][C]16[/C][C]0.208243[/C][C]2.2717[/C][C]0.012452[/C][/ROW]
[ROW][C]17[/C][C]-0.324377[/C][C]-3.5385[/C][C]0.000287[/C][/ROW]
[ROW][C]18[/C][C]0.099888[/C][C]1.0896[/C][C]0.139035[/C][/ROW]
[ROW][C]19[/C][C]-0.161743[/C][C]-1.7644[/C][C]0.040115[/C][/ROW]
[ROW][C]20[/C][C]0.245875[/C][C]2.6822[/C][C]0.004177[/C][/ROW]
[ROW][C]21[/C][C]-0.235601[/C][C]-2.5701[/C][C]0.0057[/C][/ROW]
[ROW][C]22[/C][C]-0.016004[/C][C]-0.1746[/C][C]0.430852[/C][/ROW]
[ROW][C]23[/C][C]-0.081779[/C][C]-0.8921[/C][C]0.187069[/C][/ROW]
[ROW][C]24[/C][C]0.629449[/C][C]6.8665[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.108877[/C][C]-1.1877[/C][C]0.118657[/C][/ROW]
[ROW][C]26[/C][C]-0.108123[/C][C]-1.1795[/C][C]0.120279[/C][/ROW]
[ROW][C]27[/C][C]-0.186652[/C][C]-2.0361[/C][C]0.021978[/C][/ROW]
[ROW][C]28[/C][C]0.149971[/C][C]1.636[/C][C]0.052242[/C][/ROW]
[ROW][C]29[/C][C]-0.298874[/C][C]-3.2603[/C][C]0.000726[/C][/ROW]
[ROW][C]30[/C][C]0.072325[/C][C]0.789[/C][C]0.215848[/C][/ROW]
[ROW][C]31[/C][C]-0.048182[/C][C]-0.5256[/C][C]0.30007[/C][/ROW]
[ROW][C]32[/C][C]0.239065[/C][C]2.6079[/C][C]0.005139[/C][/ROW]
[ROW][C]33[/C][C]-0.213852[/C][C]-2.3328[/C][C]0.010668[/C][/ROW]
[ROW][C]34[/C][C]0.000781[/C][C]0.0085[/C][C]0.49661[/C][/ROW]
[ROW][C]35[/C][C]-0.083306[/C][C]-0.9088[/C][C]0.182656[/C][/ROW]
[ROW][C]36[/C][C]0.474981[/C][C]5.1814[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.129062[/C][C]-1.4079[/C][C]0.080884[/C][/ROW]
[ROW][C]38[/C][C]-0.049588[/C][C]-0.5409[/C][C]0.29478[/C][/ROW]
[ROW][C]39[/C][C]-0.146537[/C][C]-1.5985[/C][C]0.056288[/C][/ROW]
[ROW][C]40[/C][C]0.109271[/C][C]1.192[/C][C]0.117816[/C][/ROW]
[ROW][C]41[/C][C]-0.275202[/C][C]-3.0021[/C][C]0.001634[/C][/ROW]
[ROW][C]42[/C][C]0.094156[/C][C]1.0271[/C][C]0.153224[/C][/ROW]
[ROW][C]43[/C][C]0.003256[/C][C]0.0355[/C][C]0.485862[/C][/ROW]
[ROW][C]44[/C][C]0.230823[/C][C]2.518[/C][C]0.006566[/C][/ROW]
[ROW][C]45[/C][C]-0.18148[/C][C]-1.9797[/C][C]0.025022[/C][/ROW]
[ROW][C]46[/C][C]0.00031[/C][C]0.0034[/C][C]0.498654[/C][/ROW]
[ROW][C]47[/C][C]-0.062013[/C][C]-0.6765[/C][C]0.250025[/C][/ROW]
[ROW][C]48[/C][C]0.307341[/C][C]3.3527[/C][C]0.000537[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78584&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78584&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
1-0.116684-1.27290.102772
2-0.062364-0.68030.248814
3-0.279593-3.050.001411
40.2480952.70640.003901
5-0.32122-3.50410.000323
60.1258741.37310.086148
7-0.247956-2.70490.003918
80.2526932.75660.003381
9-0.2808-3.06320.001354
10-0.008401-0.09160.463566
11-0.079688-0.86930.193218
120.8008598.73630
13-0.112015-1.22190.112073
14-0.098681-1.07650.141945
15-0.231451-2.52480.006446
160.2082432.27170.012452
17-0.324377-3.53850.000287
180.0998881.08960.139035
19-0.161743-1.76440.040115
200.2458752.68220.004177
21-0.235601-2.57010.0057
22-0.016004-0.17460.430852
23-0.081779-0.89210.187069
240.6294496.86650
25-0.108877-1.18770.118657
26-0.108123-1.17950.120279
27-0.186652-2.03610.021978
280.1499711.6360.052242
29-0.298874-3.26030.000726
300.0723250.7890.215848
31-0.048182-0.52560.30007
320.2390652.60790.005139
33-0.213852-2.33280.010668
340.0007810.00850.49661
35-0.083306-0.90880.182656
360.4749815.18140
37-0.129062-1.40790.080884
38-0.049588-0.54090.29478
39-0.146537-1.59850.056288
400.1092711.1920.117816
41-0.275202-3.00210.001634
420.0941561.02710.153224
430.0032560.03550.485862
440.2308232.5180.006566
45-0.18148-1.97970.025022
460.000310.00340.498654
47-0.062013-0.67650.250025
480.3073413.35270.000537






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.116684-1.27290.102772
2-0.077028-0.84030.201219
3-0.302303-3.29770.000643
40.1840792.00810.023451
5-0.371744-4.05524.5e-05
60.0618070.67420.250736
7-0.287257-3.13360.001087
80.0713120.77790.219081
9-0.299964-3.27220.000698
10-0.322434-3.51730.000309
11-0.018684-0.20380.419422
120.6546757.14170
130.1128121.23060.110443
14-0.077835-0.84910.19877
150.1071141.16850.122475
16-0.077182-0.8420.200751
170.0329370.35930.360002
18-0.035067-0.38250.351374
19-0.017577-0.19170.424133
200.0512960.55960.288413
210.051420.56090.287953
22-0.085081-0.92810.177611
23-0.134383-1.46590.07265
24-0.047968-0.52330.300881
25-0.05694-0.62110.267847
26-0.028499-0.31090.378214
27-0.027996-0.30540.380296
28-0.145736-1.58980.057268
29-0.001039-0.01130.495488
30-0.08062-0.87950.190461
310.0641540.69980.242698
320.0274480.29940.38257
33-0.078476-0.85610.19684
340.1393331.51990.065589
35-0.067695-0.73850.230843
36-0.003586-0.03910.48443
37-0.119203-1.30040.097996
380.1511651.6490.050891
390.0353980.38610.35004
40-0.032538-0.35490.36163
410.0556910.60750.272332
42-0.032433-0.35380.362057
430.0661870.7220.235851
44-0.053041-0.57860.281975
450.0617010.67310.251101
46-0.052358-0.57120.284485
470.1063771.16040.124097
48-0.135616-1.47940.070838

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.116684 & -1.2729 & 0.102772 \tabularnewline
2 & -0.077028 & -0.8403 & 0.201219 \tabularnewline
3 & -0.302303 & -3.2977 & 0.000643 \tabularnewline
4 & 0.184079 & 2.0081 & 0.023451 \tabularnewline
5 & -0.371744 & -4.0552 & 4.5e-05 \tabularnewline
6 & 0.061807 & 0.6742 & 0.250736 \tabularnewline
7 & -0.287257 & -3.1336 & 0.001087 \tabularnewline
8 & 0.071312 & 0.7779 & 0.219081 \tabularnewline
9 & -0.299964 & -3.2722 & 0.000698 \tabularnewline
10 & -0.322434 & -3.5173 & 0.000309 \tabularnewline
11 & -0.018684 & -0.2038 & 0.419422 \tabularnewline
12 & 0.654675 & 7.1417 & 0 \tabularnewline
13 & 0.112812 & 1.2306 & 0.110443 \tabularnewline
14 & -0.077835 & -0.8491 & 0.19877 \tabularnewline
15 & 0.107114 & 1.1685 & 0.122475 \tabularnewline
16 & -0.077182 & -0.842 & 0.200751 \tabularnewline
17 & 0.032937 & 0.3593 & 0.360002 \tabularnewline
18 & -0.035067 & -0.3825 & 0.351374 \tabularnewline
19 & -0.017577 & -0.1917 & 0.424133 \tabularnewline
20 & 0.051296 & 0.5596 & 0.288413 \tabularnewline
21 & 0.05142 & 0.5609 & 0.287953 \tabularnewline
22 & -0.085081 & -0.9281 & 0.177611 \tabularnewline
23 & -0.134383 & -1.4659 & 0.07265 \tabularnewline
24 & -0.047968 & -0.5233 & 0.300881 \tabularnewline
25 & -0.05694 & -0.6211 & 0.267847 \tabularnewline
26 & -0.028499 & -0.3109 & 0.378214 \tabularnewline
27 & -0.027996 & -0.3054 & 0.380296 \tabularnewline
28 & -0.145736 & -1.5898 & 0.057268 \tabularnewline
29 & -0.001039 & -0.0113 & 0.495488 \tabularnewline
30 & -0.08062 & -0.8795 & 0.190461 \tabularnewline
31 & 0.064154 & 0.6998 & 0.242698 \tabularnewline
32 & 0.027448 & 0.2994 & 0.38257 \tabularnewline
33 & -0.078476 & -0.8561 & 0.19684 \tabularnewline
34 & 0.139333 & 1.5199 & 0.065589 \tabularnewline
35 & -0.067695 & -0.7385 & 0.230843 \tabularnewline
36 & -0.003586 & -0.0391 & 0.48443 \tabularnewline
37 & -0.119203 & -1.3004 & 0.097996 \tabularnewline
38 & 0.151165 & 1.649 & 0.050891 \tabularnewline
39 & 0.035398 & 0.3861 & 0.35004 \tabularnewline
40 & -0.032538 & -0.3549 & 0.36163 \tabularnewline
41 & 0.055691 & 0.6075 & 0.272332 \tabularnewline
42 & -0.032433 & -0.3538 & 0.362057 \tabularnewline
43 & 0.066187 & 0.722 & 0.235851 \tabularnewline
44 & -0.053041 & -0.5786 & 0.281975 \tabularnewline
45 & 0.061701 & 0.6731 & 0.251101 \tabularnewline
46 & -0.052358 & -0.5712 & 0.284485 \tabularnewline
47 & 0.106377 & 1.1604 & 0.124097 \tabularnewline
48 & -0.135616 & -1.4794 & 0.070838 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78584&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]-0.116684[/C][C]-1.2729[/C][C]0.102772[/C][/ROW]
[ROW][C]2[/C][C]-0.077028[/C][C]-0.8403[/C][C]0.201219[/C][/ROW]
[ROW][C]3[/C][C]-0.302303[/C][C]-3.2977[/C][C]0.000643[/C][/ROW]
[ROW][C]4[/C][C]0.184079[/C][C]2.0081[/C][C]0.023451[/C][/ROW]
[ROW][C]5[/C][C]-0.371744[/C][C]-4.0552[/C][C]4.5e-05[/C][/ROW]
[ROW][C]6[/C][C]0.061807[/C][C]0.6742[/C][C]0.250736[/C][/ROW]
[ROW][C]7[/C][C]-0.287257[/C][C]-3.1336[/C][C]0.001087[/C][/ROW]
[ROW][C]8[/C][C]0.071312[/C][C]0.7779[/C][C]0.219081[/C][/ROW]
[ROW][C]9[/C][C]-0.299964[/C][C]-3.2722[/C][C]0.000698[/C][/ROW]
[ROW][C]10[/C][C]-0.322434[/C][C]-3.5173[/C][C]0.000309[/C][/ROW]
[ROW][C]11[/C][C]-0.018684[/C][C]-0.2038[/C][C]0.419422[/C][/ROW]
[ROW][C]12[/C][C]0.654675[/C][C]7.1417[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.112812[/C][C]1.2306[/C][C]0.110443[/C][/ROW]
[ROW][C]14[/C][C]-0.077835[/C][C]-0.8491[/C][C]0.19877[/C][/ROW]
[ROW][C]15[/C][C]0.107114[/C][C]1.1685[/C][C]0.122475[/C][/ROW]
[ROW][C]16[/C][C]-0.077182[/C][C]-0.842[/C][C]0.200751[/C][/ROW]
[ROW][C]17[/C][C]0.032937[/C][C]0.3593[/C][C]0.360002[/C][/ROW]
[ROW][C]18[/C][C]-0.035067[/C][C]-0.3825[/C][C]0.351374[/C][/ROW]
[ROW][C]19[/C][C]-0.017577[/C][C]-0.1917[/C][C]0.424133[/C][/ROW]
[ROW][C]20[/C][C]0.051296[/C][C]0.5596[/C][C]0.288413[/C][/ROW]
[ROW][C]21[/C][C]0.05142[/C][C]0.5609[/C][C]0.287953[/C][/ROW]
[ROW][C]22[/C][C]-0.085081[/C][C]-0.9281[/C][C]0.177611[/C][/ROW]
[ROW][C]23[/C][C]-0.134383[/C][C]-1.4659[/C][C]0.07265[/C][/ROW]
[ROW][C]24[/C][C]-0.047968[/C][C]-0.5233[/C][C]0.300881[/C][/ROW]
[ROW][C]25[/C][C]-0.05694[/C][C]-0.6211[/C][C]0.267847[/C][/ROW]
[ROW][C]26[/C][C]-0.028499[/C][C]-0.3109[/C][C]0.378214[/C][/ROW]
[ROW][C]27[/C][C]-0.027996[/C][C]-0.3054[/C][C]0.380296[/C][/ROW]
[ROW][C]28[/C][C]-0.145736[/C][C]-1.5898[/C][C]0.057268[/C][/ROW]
[ROW][C]29[/C][C]-0.001039[/C][C]-0.0113[/C][C]0.495488[/C][/ROW]
[ROW][C]30[/C][C]-0.08062[/C][C]-0.8795[/C][C]0.190461[/C][/ROW]
[ROW][C]31[/C][C]0.064154[/C][C]0.6998[/C][C]0.242698[/C][/ROW]
[ROW][C]32[/C][C]0.027448[/C][C]0.2994[/C][C]0.38257[/C][/ROW]
[ROW][C]33[/C][C]-0.078476[/C][C]-0.8561[/C][C]0.19684[/C][/ROW]
[ROW][C]34[/C][C]0.139333[/C][C]1.5199[/C][C]0.065589[/C][/ROW]
[ROW][C]35[/C][C]-0.067695[/C][C]-0.7385[/C][C]0.230843[/C][/ROW]
[ROW][C]36[/C][C]-0.003586[/C][C]-0.0391[/C][C]0.48443[/C][/ROW]
[ROW][C]37[/C][C]-0.119203[/C][C]-1.3004[/C][C]0.097996[/C][/ROW]
[ROW][C]38[/C][C]0.151165[/C][C]1.649[/C][C]0.050891[/C][/ROW]
[ROW][C]39[/C][C]0.035398[/C][C]0.3861[/C][C]0.35004[/C][/ROW]
[ROW][C]40[/C][C]-0.032538[/C][C]-0.3549[/C][C]0.36163[/C][/ROW]
[ROW][C]41[/C][C]0.055691[/C][C]0.6075[/C][C]0.272332[/C][/ROW]
[ROW][C]42[/C][C]-0.032433[/C][C]-0.3538[/C][C]0.362057[/C][/ROW]
[ROW][C]43[/C][C]0.066187[/C][C]0.722[/C][C]0.235851[/C][/ROW]
[ROW][C]44[/C][C]-0.053041[/C][C]-0.5786[/C][C]0.281975[/C][/ROW]
[ROW][C]45[/C][C]0.061701[/C][C]0.6731[/C][C]0.251101[/C][/ROW]
[ROW][C]46[/C][C]-0.052358[/C][C]-0.5712[/C][C]0.284485[/C][/ROW]
[ROW][C]47[/C][C]0.106377[/C][C]1.1604[/C][C]0.124097[/C][/ROW]
[ROW][C]48[/C][C]-0.135616[/C][C]-1.4794[/C][C]0.070838[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78584&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78584&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
1-0.116684-1.27290.102772
2-0.077028-0.84030.201219
3-0.302303-3.29770.000643
40.1840792.00810.023451
5-0.371744-4.05524.5e-05
60.0618070.67420.250736
7-0.287257-3.13360.001087
80.0713120.77790.219081
9-0.299964-3.27220.000698
10-0.322434-3.51730.000309
11-0.018684-0.20380.419422
120.6546757.14170
130.1128121.23060.110443
14-0.077835-0.84910.19877
150.1071141.16850.122475
16-0.077182-0.8420.200751
170.0329370.35930.360002
18-0.035067-0.38250.351374
19-0.017577-0.19170.424133
200.0512960.55960.288413
210.051420.56090.287953
22-0.085081-0.92810.177611
23-0.134383-1.46590.07265
24-0.047968-0.52330.300881
25-0.05694-0.62110.267847
26-0.028499-0.31090.378214
27-0.027996-0.30540.380296
28-0.145736-1.58980.057268
29-0.001039-0.01130.495488
30-0.08062-0.87950.190461
310.0641540.69980.242698
320.0274480.29940.38257
33-0.078476-0.85610.19684
340.1393331.51990.065589
35-0.067695-0.73850.230843
36-0.003586-0.03910.48443
37-0.119203-1.30040.097996
380.1511651.6490.050891
390.0353980.38610.35004
40-0.032538-0.35490.36163
410.0556910.60750.272332
42-0.032433-0.35380.362057
430.0661870.7220.235851
44-0.053041-0.57860.281975
450.0617010.67310.251101
46-0.052358-0.57120.284485
470.1063771.16040.124097
48-0.135616-1.47940.070838


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 ;
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')