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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 computationThu, 28 May 2009 07:53:33 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/28/t1243518904sdk3kghxe5nsek8.htm/, Retrieved Sun, 05 May 2024 23:23:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40612, Retrieved Sun, 05 May 2024 23:23:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127

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] [autocorrelatoin f...] [2009-05-28 13:53:33] [1a4b490ae86a78f004f9a6b70ce3539b] [Current]
-    D    [(Partial) Autocorrelation Function] [autocorrelation -...] [2009-06-02 14:25:07] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18,09
18,13
18
17,72
17,62
17,13
17,39
17,09
17,14
17,38
16,8
16,51
16,01
15,05
13,56
15,22
14,91
15,13
15,25
14,61
14,87
15,1
15,22
15,46
14,96
14
14,2
13,9
13,63
13,32
13,8
14,5
14,12
13,88
14,11
14,26
14,71
14,52
14,32
14,69
15,25
15,04
14,82
14,5
14,72
14,6
14,58
14
14,75
14,41
15,19
14,96
14,83
14,25
14,32
14,93
14,65
15,65
15,65
15,61
15,95
15,83
15,77
16,7
16,69
16,4
16,77
16,78
16,84
16,68
16,67
16,3
16,37
16,6
16,72
16,82
17,5
17,2
17,29
17,2
17,2
17,32
17,16
17,41
17,31
17,3
17,34
17,19
17,05
17,07
17,07
16,81
16,81
16,96
17,05
17
16,77
16,66
16,2
16,26
15,84
15,85
15,71
15,84
15,73
15,77
15,3
15,41
15,4
15,61
15
14,12
14,01
13,46
13,85
13,92
13,59
13,67
13,05
12,87
12,28
11,88
12,49
11,9
10,8
10,99
10,15
10,07
10,05
10,31
9,94
9,65
9,74
9,85
9,96
9,63
9,43
8,77
9,53
9,5
9,78
9,9
9,93
10,35
9,79
9,63
9,02
9,25
9,11
8,95
9,3
9,13
9,75
9,65
9,27
9,59
9,58
9,98
9,57
9,6
9,64
9,46
9,19
9,02
8,9
9,12
8,86
8,94
9
9,23
9,39
9,62
9,9
9,8
9,2
9,87
9,6
9,37
9,21
9,15
8,7
8,2
8,1
6,68
7,7
8,2
7,55
7,53
7,02
6,6
6
3,95
4,91
5,15
5,7
1,93
1,36
1,1
0,98
1
1,1
1,06
1,01
0,93
0,89
0,9
0,88
0,85
0,84
0,94
1
1,1
1,15
1,05
1,06
0,99
0,93
0,84
0,9
0,86
0,78
0,77
0,6
0,57
0,62
0,62
0,58
0,6
0,73
0,75
0,63
0,71
0,68
0,64
0,66
0,69
0,72
0,92
0,85
0,95
1
1,15
1,07
1,01
0,99
0,95
0,92
0,94
0,96
1,05
1,04
1,1
1,14
1,12
1,19
1,35
1,62
1,43
1,45
1,47
1,35
1,15
1,46
1,3
1,3
1,5
1,52
1,63
1,9
1,65
1,5
1,38
1,39

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'George Udny Yule' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40612&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40612&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40612&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'George Udny Yule' @ 72.249.76.132






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.99078716.37050
20.98193416.22420
30.97309716.07820
40.96478115.94080
50.9563715.80180
60.94750415.65530
70.93811115.50010
80.92861915.34330
90.9185215.17640
100.90756914.99550
110.89719514.82410
120.8871814.65860
130.87727814.4950
140.86775514.33770
150.85907514.19430
160.84864114.02180
170.83860213.8560
180.82810213.68250
190.81707213.50030
200.80623613.32120
210.79529413.14040
220.78397112.95330
230.77248612.76360
240.76100412.57390
250.74968712.38690
260.73900412.21030
270.72831812.03380
280.71776811.85950
290.70733111.6870
300.69701311.51660
310.68648211.34250
320.67564211.16340
330.66503610.98820
340.65417410.80870
350.64323310.6280
360.63193310.44120
370.6204210.2510
380.60863710.05630
390.5974639.87170
400.5859639.68170
410.5740149.48430
420.562499.29390
430.5506889.09890
440.5396348.91620
450.5284498.73140
460.5174938.55040
470.5063648.36650
480.4958068.19210

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.990787 & 16.3705 & 0 \tabularnewline
2 & 0.981934 & 16.2242 & 0 \tabularnewline
3 & 0.973097 & 16.0782 & 0 \tabularnewline
4 & 0.964781 & 15.9408 & 0 \tabularnewline
5 & 0.95637 & 15.8018 & 0 \tabularnewline
6 & 0.947504 & 15.6553 & 0 \tabularnewline
7 & 0.938111 & 15.5001 & 0 \tabularnewline
8 & 0.928619 & 15.3433 & 0 \tabularnewline
9 & 0.91852 & 15.1764 & 0 \tabularnewline
10 & 0.907569 & 14.9955 & 0 \tabularnewline
11 & 0.897195 & 14.8241 & 0 \tabularnewline
12 & 0.88718 & 14.6586 & 0 \tabularnewline
13 & 0.877278 & 14.495 & 0 \tabularnewline
14 & 0.867755 & 14.3377 & 0 \tabularnewline
15 & 0.859075 & 14.1943 & 0 \tabularnewline
16 & 0.848641 & 14.0218 & 0 \tabularnewline
17 & 0.838602 & 13.856 & 0 \tabularnewline
18 & 0.828102 & 13.6825 & 0 \tabularnewline
19 & 0.817072 & 13.5003 & 0 \tabularnewline
20 & 0.806236 & 13.3212 & 0 \tabularnewline
21 & 0.795294 & 13.1404 & 0 \tabularnewline
22 & 0.783971 & 12.9533 & 0 \tabularnewline
23 & 0.772486 & 12.7636 & 0 \tabularnewline
24 & 0.761004 & 12.5739 & 0 \tabularnewline
25 & 0.749687 & 12.3869 & 0 \tabularnewline
26 & 0.739004 & 12.2103 & 0 \tabularnewline
27 & 0.728318 & 12.0338 & 0 \tabularnewline
28 & 0.717768 & 11.8595 & 0 \tabularnewline
29 & 0.707331 & 11.687 & 0 \tabularnewline
30 & 0.697013 & 11.5166 & 0 \tabularnewline
31 & 0.686482 & 11.3425 & 0 \tabularnewline
32 & 0.675642 & 11.1634 & 0 \tabularnewline
33 & 0.665036 & 10.9882 & 0 \tabularnewline
34 & 0.654174 & 10.8087 & 0 \tabularnewline
35 & 0.643233 & 10.628 & 0 \tabularnewline
36 & 0.631933 & 10.4412 & 0 \tabularnewline
37 & 0.62042 & 10.251 & 0 \tabularnewline
38 & 0.608637 & 10.0563 & 0 \tabularnewline
39 & 0.597463 & 9.8717 & 0 \tabularnewline
40 & 0.585963 & 9.6817 & 0 \tabularnewline
41 & 0.574014 & 9.4843 & 0 \tabularnewline
42 & 0.56249 & 9.2939 & 0 \tabularnewline
43 & 0.550688 & 9.0989 & 0 \tabularnewline
44 & 0.539634 & 8.9162 & 0 \tabularnewline
45 & 0.528449 & 8.7314 & 0 \tabularnewline
46 & 0.517493 & 8.5504 & 0 \tabularnewline
47 & 0.506364 & 8.3665 & 0 \tabularnewline
48 & 0.495806 & 8.1921 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40612&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]0.990787[/C][C]16.3705[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.981934[/C][C]16.2242[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.973097[/C][C]16.0782[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.964781[/C][C]15.9408[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.95637[/C][C]15.8018[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.947504[/C][C]15.6553[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.938111[/C][C]15.5001[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.928619[/C][C]15.3433[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.91852[/C][C]15.1764[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.907569[/C][C]14.9955[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.897195[/C][C]14.8241[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.88718[/C][C]14.6586[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.877278[/C][C]14.495[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.867755[/C][C]14.3377[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.859075[/C][C]14.1943[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.848641[/C][C]14.0218[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.838602[/C][C]13.856[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.828102[/C][C]13.6825[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.817072[/C][C]13.5003[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.806236[/C][C]13.3212[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.795294[/C][C]13.1404[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.783971[/C][C]12.9533[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.772486[/C][C]12.7636[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.761004[/C][C]12.5739[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.749687[/C][C]12.3869[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.739004[/C][C]12.2103[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.728318[/C][C]12.0338[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.717768[/C][C]11.8595[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.707331[/C][C]11.687[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0.697013[/C][C]11.5166[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0.686482[/C][C]11.3425[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0.675642[/C][C]11.1634[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0.665036[/C][C]10.9882[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0.654174[/C][C]10.8087[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0.643233[/C][C]10.628[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0.631933[/C][C]10.4412[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.62042[/C][C]10.251[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0.608637[/C][C]10.0563[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]0.597463[/C][C]9.8717[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]0.585963[/C][C]9.6817[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]0.574014[/C][C]9.4843[/C][C]0[/C][/ROW]
[ROW][C]42[/C][C]0.56249[/C][C]9.2939[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]0.550688[/C][C]9.0989[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]0.539634[/C][C]8.9162[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]0.528449[/C][C]8.7314[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]0.517493[/C][C]8.5504[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]0.506364[/C][C]8.3665[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]0.495806[/C][C]8.1921[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40612&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40612&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
10.99078716.37050
20.98193416.22420
30.97309716.07820
40.96478115.94080
50.9563715.80180
60.94750415.65530
70.93811115.50010
80.92861915.34330
90.9185215.17640
100.90756914.99550
110.89719514.82410
120.8871814.65860
130.87727814.4950
140.86775514.33770
150.85907514.19430
160.84864114.02180
170.83860213.8560
180.82810213.68250
190.81707213.50030
200.80623613.32120
210.79529413.14040
220.78397112.95330
230.77248612.76360
240.76100412.57390
250.74968712.38690
260.73900412.21030
270.72831812.03380
280.71776811.85950
290.70733111.6870
300.69701311.51660
310.68648211.34250
320.67564211.16340
330.66503610.98820
340.65417410.80870
350.64323310.6280
360.63193310.44120
370.6204210.2510
380.60863710.05630
390.5974639.87170
400.5859639.68170
410.5740149.48430
420.562499.29390
430.5506889.09890
440.5396348.91620
450.5284498.73140
460.5174938.55040
470.5063648.36650
480.4958068.19210






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.99078716.37050
20.0149590.24720.402485
3-0.003196-0.05280.478965
40.0239960.39650.346031
5-0.008331-0.13760.445311
6-0.029225-0.48290.314785
7-0.0335-0.55350.290182
8-0.011796-0.19490.422808
9-0.039746-0.65670.25596
10-0.054768-0.90490.183154
110.0241530.39910.345077
120.0149220.24650.402722
130.0004540.00750.497013
140.0202140.3340.369323
150.0477520.7890.215403
16-0.097276-1.60730.054576
170.0127040.20990.416951
18-0.02638-0.43590.331636
19-0.044073-0.72820.233555
20-0.003196-0.05280.478965
21-0.012307-0.20340.419505
22-0.02663-0.440.330142
23-0.018861-0.31160.37778
24-0.000248-0.00410.498365
250.0147620.24390.403741
260.0253950.41960.337554
27-1.4e-05-2e-040.499908
280.0078060.1290.448738
29-0.00223-0.03680.485318
30-0.008113-0.1340.446733
31-0.008452-0.13960.44452
32-0.034493-0.56990.284603
330.0032080.0530.478883
34-0.02044-0.33770.367914
35-0.019472-0.32170.373953
36-0.023532-0.38880.348857
37-0.014695-0.24280.404174
38-0.019756-0.32640.372176
390.0305610.50490.307002
40-0.017721-0.29280.384948
41-0.035271-0.58280.280265
420.0192860.31870.375115
43-0.023843-0.39390.346964
440.0299080.49420.310793
45-0.013432-0.22190.412269
460.0039550.06540.473971
47-0.014485-0.23930.405516
480.0141410.23370.407714

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.990787 & 16.3705 & 0 \tabularnewline
2 & 0.014959 & 0.2472 & 0.402485 \tabularnewline
3 & -0.003196 & -0.0528 & 0.478965 \tabularnewline
4 & 0.023996 & 0.3965 & 0.346031 \tabularnewline
5 & -0.008331 & -0.1376 & 0.445311 \tabularnewline
6 & -0.029225 & -0.4829 & 0.314785 \tabularnewline
7 & -0.0335 & -0.5535 & 0.290182 \tabularnewline
8 & -0.011796 & -0.1949 & 0.422808 \tabularnewline
9 & -0.039746 & -0.6567 & 0.25596 \tabularnewline
10 & -0.054768 & -0.9049 & 0.183154 \tabularnewline
11 & 0.024153 & 0.3991 & 0.345077 \tabularnewline
12 & 0.014922 & 0.2465 & 0.402722 \tabularnewline
13 & 0.000454 & 0.0075 & 0.497013 \tabularnewline
14 & 0.020214 & 0.334 & 0.369323 \tabularnewline
15 & 0.047752 & 0.789 & 0.215403 \tabularnewline
16 & -0.097276 & -1.6073 & 0.054576 \tabularnewline
17 & 0.012704 & 0.2099 & 0.416951 \tabularnewline
18 & -0.02638 & -0.4359 & 0.331636 \tabularnewline
19 & -0.044073 & -0.7282 & 0.233555 \tabularnewline
20 & -0.003196 & -0.0528 & 0.478965 \tabularnewline
21 & -0.012307 & -0.2034 & 0.419505 \tabularnewline
22 & -0.02663 & -0.44 & 0.330142 \tabularnewline
23 & -0.018861 & -0.3116 & 0.37778 \tabularnewline
24 & -0.000248 & -0.0041 & 0.498365 \tabularnewline
25 & 0.014762 & 0.2439 & 0.403741 \tabularnewline
26 & 0.025395 & 0.4196 & 0.337554 \tabularnewline
27 & -1.4e-05 & -2e-04 & 0.499908 \tabularnewline
28 & 0.007806 & 0.129 & 0.448738 \tabularnewline
29 & -0.00223 & -0.0368 & 0.485318 \tabularnewline
30 & -0.008113 & -0.134 & 0.446733 \tabularnewline
31 & -0.008452 & -0.1396 & 0.44452 \tabularnewline
32 & -0.034493 & -0.5699 & 0.284603 \tabularnewline
33 & 0.003208 & 0.053 & 0.478883 \tabularnewline
34 & -0.02044 & -0.3377 & 0.367914 \tabularnewline
35 & -0.019472 & -0.3217 & 0.373953 \tabularnewline
36 & -0.023532 & -0.3888 & 0.348857 \tabularnewline
37 & -0.014695 & -0.2428 & 0.404174 \tabularnewline
38 & -0.019756 & -0.3264 & 0.372176 \tabularnewline
39 & 0.030561 & 0.5049 & 0.307002 \tabularnewline
40 & -0.017721 & -0.2928 & 0.384948 \tabularnewline
41 & -0.035271 & -0.5828 & 0.280265 \tabularnewline
42 & 0.019286 & 0.3187 & 0.375115 \tabularnewline
43 & -0.023843 & -0.3939 & 0.346964 \tabularnewline
44 & 0.029908 & 0.4942 & 0.310793 \tabularnewline
45 & -0.013432 & -0.2219 & 0.412269 \tabularnewline
46 & 0.003955 & 0.0654 & 0.473971 \tabularnewline
47 & -0.014485 & -0.2393 & 0.405516 \tabularnewline
48 & 0.014141 & 0.2337 & 0.407714 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40612&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]0.990787[/C][C]16.3705[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.014959[/C][C]0.2472[/C][C]0.402485[/C][/ROW]
[ROW][C]3[/C][C]-0.003196[/C][C]-0.0528[/C][C]0.478965[/C][/ROW]
[ROW][C]4[/C][C]0.023996[/C][C]0.3965[/C][C]0.346031[/C][/ROW]
[ROW][C]5[/C][C]-0.008331[/C][C]-0.1376[/C][C]0.445311[/C][/ROW]
[ROW][C]6[/C][C]-0.029225[/C][C]-0.4829[/C][C]0.314785[/C][/ROW]
[ROW][C]7[/C][C]-0.0335[/C][C]-0.5535[/C][C]0.290182[/C][/ROW]
[ROW][C]8[/C][C]-0.011796[/C][C]-0.1949[/C][C]0.422808[/C][/ROW]
[ROW][C]9[/C][C]-0.039746[/C][C]-0.6567[/C][C]0.25596[/C][/ROW]
[ROW][C]10[/C][C]-0.054768[/C][C]-0.9049[/C][C]0.183154[/C][/ROW]
[ROW][C]11[/C][C]0.024153[/C][C]0.3991[/C][C]0.345077[/C][/ROW]
[ROW][C]12[/C][C]0.014922[/C][C]0.2465[/C][C]0.402722[/C][/ROW]
[ROW][C]13[/C][C]0.000454[/C][C]0.0075[/C][C]0.497013[/C][/ROW]
[ROW][C]14[/C][C]0.020214[/C][C]0.334[/C][C]0.369323[/C][/ROW]
[ROW][C]15[/C][C]0.047752[/C][C]0.789[/C][C]0.215403[/C][/ROW]
[ROW][C]16[/C][C]-0.097276[/C][C]-1.6073[/C][C]0.054576[/C][/ROW]
[ROW][C]17[/C][C]0.012704[/C][C]0.2099[/C][C]0.416951[/C][/ROW]
[ROW][C]18[/C][C]-0.02638[/C][C]-0.4359[/C][C]0.331636[/C][/ROW]
[ROW][C]19[/C][C]-0.044073[/C][C]-0.7282[/C][C]0.233555[/C][/ROW]
[ROW][C]20[/C][C]-0.003196[/C][C]-0.0528[/C][C]0.478965[/C][/ROW]
[ROW][C]21[/C][C]-0.012307[/C][C]-0.2034[/C][C]0.419505[/C][/ROW]
[ROW][C]22[/C][C]-0.02663[/C][C]-0.44[/C][C]0.330142[/C][/ROW]
[ROW][C]23[/C][C]-0.018861[/C][C]-0.3116[/C][C]0.37778[/C][/ROW]
[ROW][C]24[/C][C]-0.000248[/C][C]-0.0041[/C][C]0.498365[/C][/ROW]
[ROW][C]25[/C][C]0.014762[/C][C]0.2439[/C][C]0.403741[/C][/ROW]
[ROW][C]26[/C][C]0.025395[/C][C]0.4196[/C][C]0.337554[/C][/ROW]
[ROW][C]27[/C][C]-1.4e-05[/C][C]-2e-04[/C][C]0.499908[/C][/ROW]
[ROW][C]28[/C][C]0.007806[/C][C]0.129[/C][C]0.448738[/C][/ROW]
[ROW][C]29[/C][C]-0.00223[/C][C]-0.0368[/C][C]0.485318[/C][/ROW]
[ROW][C]30[/C][C]-0.008113[/C][C]-0.134[/C][C]0.446733[/C][/ROW]
[ROW][C]31[/C][C]-0.008452[/C][C]-0.1396[/C][C]0.44452[/C][/ROW]
[ROW][C]32[/C][C]-0.034493[/C][C]-0.5699[/C][C]0.284603[/C][/ROW]
[ROW][C]33[/C][C]0.003208[/C][C]0.053[/C][C]0.478883[/C][/ROW]
[ROW][C]34[/C][C]-0.02044[/C][C]-0.3377[/C][C]0.367914[/C][/ROW]
[ROW][C]35[/C][C]-0.019472[/C][C]-0.3217[/C][C]0.373953[/C][/ROW]
[ROW][C]36[/C][C]-0.023532[/C][C]-0.3888[/C][C]0.348857[/C][/ROW]
[ROW][C]37[/C][C]-0.014695[/C][C]-0.2428[/C][C]0.404174[/C][/ROW]
[ROW][C]38[/C][C]-0.019756[/C][C]-0.3264[/C][C]0.372176[/C][/ROW]
[ROW][C]39[/C][C]0.030561[/C][C]0.5049[/C][C]0.307002[/C][/ROW]
[ROW][C]40[/C][C]-0.017721[/C][C]-0.2928[/C][C]0.384948[/C][/ROW]
[ROW][C]41[/C][C]-0.035271[/C][C]-0.5828[/C][C]0.280265[/C][/ROW]
[ROW][C]42[/C][C]0.019286[/C][C]0.3187[/C][C]0.375115[/C][/ROW]
[ROW][C]43[/C][C]-0.023843[/C][C]-0.3939[/C][C]0.346964[/C][/ROW]
[ROW][C]44[/C][C]0.029908[/C][C]0.4942[/C][C]0.310793[/C][/ROW]
[ROW][C]45[/C][C]-0.013432[/C][C]-0.2219[/C][C]0.412269[/C][/ROW]
[ROW][C]46[/C][C]0.003955[/C][C]0.0654[/C][C]0.473971[/C][/ROW]
[ROW][C]47[/C][C]-0.014485[/C][C]-0.2393[/C][C]0.405516[/C][/ROW]
[ROW][C]48[/C][C]0.014141[/C][C]0.2337[/C][C]0.407714[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40612&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40612&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
10.99078716.37050
20.0149590.24720.402485
3-0.003196-0.05280.478965
40.0239960.39650.346031
5-0.008331-0.13760.445311
6-0.029225-0.48290.314785
7-0.0335-0.55350.290182
8-0.011796-0.19490.422808
9-0.039746-0.65670.25596
10-0.054768-0.90490.183154
110.0241530.39910.345077
120.0149220.24650.402722
130.0004540.00750.497013
140.0202140.3340.369323
150.0477520.7890.215403
16-0.097276-1.60730.054576
170.0127040.20990.416951
18-0.02638-0.43590.331636
19-0.044073-0.72820.233555
20-0.003196-0.05280.478965
21-0.012307-0.20340.419505
22-0.02663-0.440.330142
23-0.018861-0.31160.37778
24-0.000248-0.00410.498365
250.0147620.24390.403741
260.0253950.41960.337554
27-1.4e-05-2e-040.499908
280.0078060.1290.448738
29-0.00223-0.03680.485318
30-0.008113-0.1340.446733
31-0.008452-0.13960.44452
32-0.034493-0.56990.284603
330.0032080.0530.478883
34-0.02044-0.33770.367914
35-0.019472-0.32170.373953
36-0.023532-0.38880.348857
37-0.014695-0.24280.404174
38-0.019756-0.32640.372176
390.0305610.50490.307002
40-0.017721-0.29280.384948
41-0.035271-0.58280.280265
420.0192860.31870.375115
43-0.023843-0.39390.346964
440.0299080.49420.310793
45-0.013432-0.22190.412269
460.0039550.06540.473971
47-0.014485-0.23930.405516
480.0141410.23370.407714


Figures (Output of Computation)

Input Parameters & R Code

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 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')