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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, 03 Dec 2007 06:55:07 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/03/t1196689390rq1w6gc9xoc51om.htm/, Retrieved Fri, 03 May 2024 22:02:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2339, Retrieved Fri, 03 May 2024 22:02:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212

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] [output1] [2007-12-03 13:55:07] [ba8414dd214a21fbd6c7bde748ac585f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10,31
11,17
12,42
13,24
14,19
14,04
14,47
15,5
15,73
16,39
15,54
14,76
14,89
14,37
15,33
15,75
15,68
16,24
17,27
17,95
18,26
18,74
18,73
19,53
19,87
19,95
20,24
21,42
22,34
22,33
22,87
22,18
21,23
21,58
21,6
21,54
23,19
24,01
24,51
24,16
24,65
24,51
24,32
23,19
23,45
25,15
25,54
25,55
26,04
26,49
25,94
26,31
28,39
26,97
25,28
24,73
23,75
22,1
22,79
23,63
24,54
26,42
27,64
27,67
27,9
28,07
29,34
28,49
29,11
28,52
28,01
27,24
25,22
25
26,47
27,67
28,4
31,66
30,47
31,67
28,96
28,75
30,54
30,03
30,66
29,51
30,11
30,98
30,28
29,5
25,24
23,01
21,82
20,89
21,87
23,01
23,37
24,63
24,33
26,92
25,79
24,78
23,81
24,65
23,69
23,17
23,38
23,48
24,63
25,44
25,02
25,88
25,79
25,89
26,87
27,1
26,8
26,48
24,92
24,34
23,62
23,8
22,83
23,42
23,71
24,47
24,93
24,25
24,89
25,02
25,02
25,31
21,47
20,39
19,92
19,29
19,21
18,62
17,87
17,68
16,51
17,29
17,82
16,91
17,58
18,57
18,94
19,71
18
17,56
18,18
18,51
19,19
18,74
19,11
20,4
21,92
22,88
23,38
25,09
23,88
22,84
24,18
24,66
24,13
24,89
23,8
22,99
22,47
22,08
23,22
23,68
23,65
24,01
24,86
24,2
24,11
23,91
24,86
26
25,83
25,85
26,92
26,75
27,55
27,5
26,89
26,93
25,69
24,28
23,02
21,94
22,5
23,32
24,15
24,84
27
28,5
28,47
28,22
29,05
29,35
29,18
29,61
30,86
30,92
31,43
31,44
31,33
26,92
24,21
24,94
23,24
23,23
23,55
21,65
21,85
23,51
24,04
24,2
25,04
25,51
24,58
25,04
26,13
26,47
27,25
26,64
26,54
28,18
28,23
27,62
28,26
27,15
25,98
24,98
24,88
26,37
27,75
29,48
27,78
27,14
26,61
27,81
28,49
27,6
27,35
28,21
28,97
28,32
28,22
29,2
29,97
29,52
28,84
27,43
27,45
28,8
29,21
30,54
30,92
31,26
31,28
30,02
30,14
31,33
31,42
31,91
33,72
34,99
35,98
35,28
35,09
33,08
32,9
33,05
32,02
34,36
34,99
35,74
36,6
37,64
38,58
40,49
39,67
37,63
37,58
37,78
39,85
41,19
42,2
44,03
44,08
44,72
40,99
38,7
36,18
38,26
37,23
32,75
33,76
36,3
33,29
35,21
38,3
39,7
41,89
40,55
39,59
41,4
44,04
45,15
47,23
48,69
49,6
48,06
50,95
47,2
46,93
48,58
45,8
45,64
43,53
44,25
47,29
49,05
50,16
53,08
53,52
54,35
54,49
52,62
53,59
55,51
58,07
59,61
59,95
62,36
60,22
58,1
59,63
58,83
56,35
54,62
54,04
53,45
53,62
52,73
50,24
50,29
50,28
52,94
54,76
52,64
52,22
56,18
57,89
59,34
60,9
60,65
58,26
55,78
55,76
57,51
57,54
57,75
57,89
59,91
62,17
63,68
66,99
67,59
67,53
66,03
64,63
64,12
65,11
64,81
63,33
63
65,7
68,32
69,12
70,26
68,71
70,23
72,1
68,67
67,48
65,87
63,38
59,77
57,55
56,07
55,73
55,22
55,63
55,45
55
55,8
56
54,73
57,27
59,41
58,1
58,46
57,33
55,06
50,75
48,39
50,17
51,81
54,19
53,74
54,4
57,98
58,3
57,94
57,73
61,7
64,73
64,52
63,99
64,35
64,42
62,55
64,9
67,39
65,88
66,99
66,63
68,51
68,02
70,15
73,73
74,5
73,74
73,83
69,98
68,5
67,52
68,83
71,76
73,84
75,54
76,52
76,18
76,22
80,58
81,62
86,47
86,47

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2339&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2339&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2339&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
0121.23680
10.2531655.37640
20.0508881.08070.140203
30.0742041.57590.057881
4-0.072725-1.54440.938408
5-0.049266-1.04630.851998
6-0.099435-2.11170.982368
7-0.082662-1.75550.960071
8-0.020176-0.42850.665748
9-0.051145-1.08620.861005
10-0.059883-1.27170.897935
11-0.064465-1.3690.914164
12-0.032453-0.68920.754475
130.0453930.9640.167782
140.0311650.66180.254208
150.0529951.12540.1305
160.0221870.47120.318867
170.0054550.11580.453913
180.0616971.31020.09539
19-0.029347-0.62320.733276
20-0.059664-1.26710.89711
210.0909181.93080.027067
220.0689421.46410.071931
230.0406780.86390.19406
240.0079110.1680.433331
25-0.089948-1.91020.971629
26-0.04519-0.95970.831137
27-0.082318-1.74820.959442
28-0.068252-1.44950.926048
29-0.006747-0.14330.556937
300.0791881.68170.046659
310.1101272.33870.009892
320.0268350.56990.284518
330.0058530.12430.450563
34-0.020774-0.44120.670353
35-0.034227-0.72690.76616
36-0.035813-0.76050.776338
37-0.074-1.57150.941617
38-0.122176-2.59460.995111
39-0.038528-0.81820.793163
40-0.023675-0.50280.692315
41-0.052001-1.10430.864983
42-0.040642-0.86310.805733
430.0266120.56520.286123
440.0845541.79570.036609
450.1116082.37020.0091
460.1331722.82820.002445
470.11522.44650.007404

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 21.2368 & 0 \tabularnewline
1 & 0.253165 & 5.3764 & 0 \tabularnewline
2 & 0.050888 & 1.0807 & 0.140203 \tabularnewline
3 & 0.074204 & 1.5759 & 0.057881 \tabularnewline
4 & -0.072725 & -1.5444 & 0.938408 \tabularnewline
5 & -0.049266 & -1.0463 & 0.851998 \tabularnewline
6 & -0.099435 & -2.1117 & 0.982368 \tabularnewline
7 & -0.082662 & -1.7555 & 0.960071 \tabularnewline
8 & -0.020176 & -0.4285 & 0.665748 \tabularnewline
9 & -0.051145 & -1.0862 & 0.861005 \tabularnewline
10 & -0.059883 & -1.2717 & 0.897935 \tabularnewline
11 & -0.064465 & -1.369 & 0.914164 \tabularnewline
12 & -0.032453 & -0.6892 & 0.754475 \tabularnewline
13 & 0.045393 & 0.964 & 0.167782 \tabularnewline
14 & 0.031165 & 0.6618 & 0.254208 \tabularnewline
15 & 0.052995 & 1.1254 & 0.1305 \tabularnewline
16 & 0.022187 & 0.4712 & 0.318867 \tabularnewline
17 & 0.005455 & 0.1158 & 0.453913 \tabularnewline
18 & 0.061697 & 1.3102 & 0.09539 \tabularnewline
19 & -0.029347 & -0.6232 & 0.733276 \tabularnewline
20 & -0.059664 & -1.2671 & 0.89711 \tabularnewline
21 & 0.090918 & 1.9308 & 0.027067 \tabularnewline
22 & 0.068942 & 1.4641 & 0.071931 \tabularnewline
23 & 0.040678 & 0.8639 & 0.19406 \tabularnewline
24 & 0.007911 & 0.168 & 0.433331 \tabularnewline
25 & -0.089948 & -1.9102 & 0.971629 \tabularnewline
26 & -0.04519 & -0.9597 & 0.831137 \tabularnewline
27 & -0.082318 & -1.7482 & 0.959442 \tabularnewline
28 & -0.068252 & -1.4495 & 0.926048 \tabularnewline
29 & -0.006747 & -0.1433 & 0.556937 \tabularnewline
30 & 0.079188 & 1.6817 & 0.046659 \tabularnewline
31 & 0.110127 & 2.3387 & 0.009892 \tabularnewline
32 & 0.026835 & 0.5699 & 0.284518 \tabularnewline
33 & 0.005853 & 0.1243 & 0.450563 \tabularnewline
34 & -0.020774 & -0.4412 & 0.670353 \tabularnewline
35 & -0.034227 & -0.7269 & 0.76616 \tabularnewline
36 & -0.035813 & -0.7605 & 0.776338 \tabularnewline
37 & -0.074 & -1.5715 & 0.941617 \tabularnewline
38 & -0.122176 & -2.5946 & 0.995111 \tabularnewline
39 & -0.038528 & -0.8182 & 0.793163 \tabularnewline
40 & -0.023675 & -0.5028 & 0.692315 \tabularnewline
41 & -0.052001 & -1.1043 & 0.864983 \tabularnewline
42 & -0.040642 & -0.8631 & 0.805733 \tabularnewline
43 & 0.026612 & 0.5652 & 0.286123 \tabularnewline
44 & 0.084554 & 1.7957 & 0.036609 \tabularnewline
45 & 0.111608 & 2.3702 & 0.0091 \tabularnewline
46 & 0.133172 & 2.8282 & 0.002445 \tabularnewline
47 & 0.1152 & 2.4465 & 0.007404 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2339&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]21.2368[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.253165[/C][C]5.3764[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.050888[/C][C]1.0807[/C][C]0.140203[/C][/ROW]
[ROW][C]3[/C][C]0.074204[/C][C]1.5759[/C][C]0.057881[/C][/ROW]
[ROW][C]4[/C][C]-0.072725[/C][C]-1.5444[/C][C]0.938408[/C][/ROW]
[ROW][C]5[/C][C]-0.049266[/C][C]-1.0463[/C][C]0.851998[/C][/ROW]
[ROW][C]6[/C][C]-0.099435[/C][C]-2.1117[/C][C]0.982368[/C][/ROW]
[ROW][C]7[/C][C]-0.082662[/C][C]-1.7555[/C][C]0.960071[/C][/ROW]
[ROW][C]8[/C][C]-0.020176[/C][C]-0.4285[/C][C]0.665748[/C][/ROW]
[ROW][C]9[/C][C]-0.051145[/C][C]-1.0862[/C][C]0.861005[/C][/ROW]
[ROW][C]10[/C][C]-0.059883[/C][C]-1.2717[/C][C]0.897935[/C][/ROW]
[ROW][C]11[/C][C]-0.064465[/C][C]-1.369[/C][C]0.914164[/C][/ROW]
[ROW][C]12[/C][C]-0.032453[/C][C]-0.6892[/C][C]0.754475[/C][/ROW]
[ROW][C]13[/C][C]0.045393[/C][C]0.964[/C][C]0.167782[/C][/ROW]
[ROW][C]14[/C][C]0.031165[/C][C]0.6618[/C][C]0.254208[/C][/ROW]
[ROW][C]15[/C][C]0.052995[/C][C]1.1254[/C][C]0.1305[/C][/ROW]
[ROW][C]16[/C][C]0.022187[/C][C]0.4712[/C][C]0.318867[/C][/ROW]
[ROW][C]17[/C][C]0.005455[/C][C]0.1158[/C][C]0.453913[/C][/ROW]
[ROW][C]18[/C][C]0.061697[/C][C]1.3102[/C][C]0.09539[/C][/ROW]
[ROW][C]19[/C][C]-0.029347[/C][C]-0.6232[/C][C]0.733276[/C][/ROW]
[ROW][C]20[/C][C]-0.059664[/C][C]-1.2671[/C][C]0.89711[/C][/ROW]
[ROW][C]21[/C][C]0.090918[/C][C]1.9308[/C][C]0.027067[/C][/ROW]
[ROW][C]22[/C][C]0.068942[/C][C]1.4641[/C][C]0.071931[/C][/ROW]
[ROW][C]23[/C][C]0.040678[/C][C]0.8639[/C][C]0.19406[/C][/ROW]
[ROW][C]24[/C][C]0.007911[/C][C]0.168[/C][C]0.433331[/C][/ROW]
[ROW][C]25[/C][C]-0.089948[/C][C]-1.9102[/C][C]0.971629[/C][/ROW]
[ROW][C]26[/C][C]-0.04519[/C][C]-0.9597[/C][C]0.831137[/C][/ROW]
[ROW][C]27[/C][C]-0.082318[/C][C]-1.7482[/C][C]0.959442[/C][/ROW]
[ROW][C]28[/C][C]-0.068252[/C][C]-1.4495[/C][C]0.926048[/C][/ROW]
[ROW][C]29[/C][C]-0.006747[/C][C]-0.1433[/C][C]0.556937[/C][/ROW]
[ROW][C]30[/C][C]0.079188[/C][C]1.6817[/C][C]0.046659[/C][/ROW]
[ROW][C]31[/C][C]0.110127[/C][C]2.3387[/C][C]0.009892[/C][/ROW]
[ROW][C]32[/C][C]0.026835[/C][C]0.5699[/C][C]0.284518[/C][/ROW]
[ROW][C]33[/C][C]0.005853[/C][C]0.1243[/C][C]0.450563[/C][/ROW]
[ROW][C]34[/C][C]-0.020774[/C][C]-0.4412[/C][C]0.670353[/C][/ROW]
[ROW][C]35[/C][C]-0.034227[/C][C]-0.7269[/C][C]0.76616[/C][/ROW]
[ROW][C]36[/C][C]-0.035813[/C][C]-0.7605[/C][C]0.776338[/C][/ROW]
[ROW][C]37[/C][C]-0.074[/C][C]-1.5715[/C][C]0.941617[/C][/ROW]
[ROW][C]38[/C][C]-0.122176[/C][C]-2.5946[/C][C]0.995111[/C][/ROW]
[ROW][C]39[/C][C]-0.038528[/C][C]-0.8182[/C][C]0.793163[/C][/ROW]
[ROW][C]40[/C][C]-0.023675[/C][C]-0.5028[/C][C]0.692315[/C][/ROW]
[ROW][C]41[/C][C]-0.052001[/C][C]-1.1043[/C][C]0.864983[/C][/ROW]
[ROW][C]42[/C][C]-0.040642[/C][C]-0.8631[/C][C]0.805733[/C][/ROW]
[ROW][C]43[/C][C]0.026612[/C][C]0.5652[/C][C]0.286123[/C][/ROW]
[ROW][C]44[/C][C]0.084554[/C][C]1.7957[/C][C]0.036609[/C][/ROW]
[ROW][C]45[/C][C]0.111608[/C][C]2.3702[/C][C]0.0091[/C][/ROW]
[ROW][C]46[/C][C]0.133172[/C][C]2.8282[/C][C]0.002445[/C][/ROW]
[ROW][C]47[/C][C]0.1152[/C][C]2.4465[/C][C]0.007404[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2339&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2339&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
0121.23680
10.2531655.37640
20.0508881.08070.140203
30.0742041.57590.057881
4-0.072725-1.54440.938408
5-0.049266-1.04630.851998
6-0.099435-2.11170.982368
7-0.082662-1.75550.960071
8-0.020176-0.42850.665748
9-0.051145-1.08620.861005
10-0.059883-1.27170.897935
11-0.064465-1.3690.914164
12-0.032453-0.68920.754475
130.0453930.9640.167782
140.0311650.66180.254208
150.0529951.12540.1305
160.0221870.47120.318867
170.0054550.11580.453913
180.0616971.31020.09539
19-0.029347-0.62320.733276
20-0.059664-1.26710.89711
210.0909181.93080.027067
220.0689421.46410.071931
230.0406780.86390.19406
240.0079110.1680.433331
25-0.089948-1.91020.971629
26-0.04519-0.95970.831137
27-0.082318-1.74820.959442
28-0.068252-1.44950.926048
29-0.006747-0.14330.556937
300.0791881.68170.046659
310.1101272.33870.009892
320.0268350.56990.284518
330.0058530.12430.450563
34-0.020774-0.44120.670353
35-0.034227-0.72690.76616
36-0.035813-0.76050.776338
37-0.074-1.57150.941617
38-0.122176-2.59460.995111
39-0.038528-0.81820.793163
40-0.023675-0.50280.692315
41-0.052001-1.10430.864983
42-0.040642-0.86310.805733
430.0266120.56520.286123
440.0845541.79570.036609
450.1116082.37020.0091
460.1331722.82820.002445
470.11522.44650.007404






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2531655.37640
1-0.014108-0.29960.617694
20.0691561.46860.071313
3-0.115688-2.45680.992804
4-0.003323-0.07060.528111
5-0.097495-2.07050.980512
6-0.020218-0.42940.666068
70.0021860.04640.481501
8-0.039454-0.83790.798729
9-0.049394-1.0490.852622
10-0.055219-1.17270.879227
11-0.0068-0.14440.557384
120.0515261.09420.137216
130.0042650.09060.463934
140.0326910.69430.243939
15-0.028283-0.60060.725808
16-0.00245-0.0520.520733
170.0538481.14350.126709
18-0.05112-1.08560.860885
19-0.039378-0.83630.798274
200.1173752.49270.006518
210.0388120.82420.205122
220.0221350.47010.319264
23-0.020444-0.43420.667811
24-0.083683-1.77710.961891
25-0.006463-0.13720.554552
26-0.052552-1.1160.867501
27-0.002237-0.04750.518935
280.0081110.17220.431661
290.0946422.00990.022519
300.0548841.16560.122206
31-0.020627-0.4380.669218
32-0.010059-0.21360.584534
33-0.042553-0.90370.816679
34-0.018182-0.38610.650209
35-0.041386-0.87890.810041
36-0.051209-1.08750.861304
37-0.095157-2.02080.978056
380.0014110.030.488053
390.0060820.12920.448644
40-0.015252-0.32390.626922
41-0.037282-0.79170.785536
420.0312880.66450.253369
430.0320190.680.248433
440.0568581.20750.113941
450.0908181.92870.0272
460.051751.0990.136178
470.0605831.28660.099449

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.253165 & 5.3764 & 0 \tabularnewline
1 & -0.014108 & -0.2996 & 0.617694 \tabularnewline
2 & 0.069156 & 1.4686 & 0.071313 \tabularnewline
3 & -0.115688 & -2.4568 & 0.992804 \tabularnewline
4 & -0.003323 & -0.0706 & 0.528111 \tabularnewline
5 & -0.097495 & -2.0705 & 0.980512 \tabularnewline
6 & -0.020218 & -0.4294 & 0.666068 \tabularnewline
7 & 0.002186 & 0.0464 & 0.481501 \tabularnewline
8 & -0.039454 & -0.8379 & 0.798729 \tabularnewline
9 & -0.049394 & -1.049 & 0.852622 \tabularnewline
10 & -0.055219 & -1.1727 & 0.879227 \tabularnewline
11 & -0.0068 & -0.1444 & 0.557384 \tabularnewline
12 & 0.051526 & 1.0942 & 0.137216 \tabularnewline
13 & 0.004265 & 0.0906 & 0.463934 \tabularnewline
14 & 0.032691 & 0.6943 & 0.243939 \tabularnewline
15 & -0.028283 & -0.6006 & 0.725808 \tabularnewline
16 & -0.00245 & -0.052 & 0.520733 \tabularnewline
17 & 0.053848 & 1.1435 & 0.126709 \tabularnewline
18 & -0.05112 & -1.0856 & 0.860885 \tabularnewline
19 & -0.039378 & -0.8363 & 0.798274 \tabularnewline
20 & 0.117375 & 2.4927 & 0.006518 \tabularnewline
21 & 0.038812 & 0.8242 & 0.205122 \tabularnewline
22 & 0.022135 & 0.4701 & 0.319264 \tabularnewline
23 & -0.020444 & -0.4342 & 0.667811 \tabularnewline
24 & -0.083683 & -1.7771 & 0.961891 \tabularnewline
25 & -0.006463 & -0.1372 & 0.554552 \tabularnewline
26 & -0.052552 & -1.116 & 0.867501 \tabularnewline
27 & -0.002237 & -0.0475 & 0.518935 \tabularnewline
28 & 0.008111 & 0.1722 & 0.431661 \tabularnewline
29 & 0.094642 & 2.0099 & 0.022519 \tabularnewline
30 & 0.054884 & 1.1656 & 0.122206 \tabularnewline
31 & -0.020627 & -0.438 & 0.669218 \tabularnewline
32 & -0.010059 & -0.2136 & 0.584534 \tabularnewline
33 & -0.042553 & -0.9037 & 0.816679 \tabularnewline
34 & -0.018182 & -0.3861 & 0.650209 \tabularnewline
35 & -0.041386 & -0.8789 & 0.810041 \tabularnewline
36 & -0.051209 & -1.0875 & 0.861304 \tabularnewline
37 & -0.095157 & -2.0208 & 0.978056 \tabularnewline
38 & 0.001411 & 0.03 & 0.488053 \tabularnewline
39 & 0.006082 & 0.1292 & 0.448644 \tabularnewline
40 & -0.015252 & -0.3239 & 0.626922 \tabularnewline
41 & -0.037282 & -0.7917 & 0.785536 \tabularnewline
42 & 0.031288 & 0.6645 & 0.253369 \tabularnewline
43 & 0.032019 & 0.68 & 0.248433 \tabularnewline
44 & 0.056858 & 1.2075 & 0.113941 \tabularnewline
45 & 0.090818 & 1.9287 & 0.0272 \tabularnewline
46 & 0.05175 & 1.099 & 0.136178 \tabularnewline
47 & 0.060583 & 1.2866 & 0.099449 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2339&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]0.253165[/C][C]5.3764[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.014108[/C][C]-0.2996[/C][C]0.617694[/C][/ROW]
[ROW][C]2[/C][C]0.069156[/C][C]1.4686[/C][C]0.071313[/C][/ROW]
[ROW][C]3[/C][C]-0.115688[/C][C]-2.4568[/C][C]0.992804[/C][/ROW]
[ROW][C]4[/C][C]-0.003323[/C][C]-0.0706[/C][C]0.528111[/C][/ROW]
[ROW][C]5[/C][C]-0.097495[/C][C]-2.0705[/C][C]0.980512[/C][/ROW]
[ROW][C]6[/C][C]-0.020218[/C][C]-0.4294[/C][C]0.666068[/C][/ROW]
[ROW][C]7[/C][C]0.002186[/C][C]0.0464[/C][C]0.481501[/C][/ROW]
[ROW][C]8[/C][C]-0.039454[/C][C]-0.8379[/C][C]0.798729[/C][/ROW]
[ROW][C]9[/C][C]-0.049394[/C][C]-1.049[/C][C]0.852622[/C][/ROW]
[ROW][C]10[/C][C]-0.055219[/C][C]-1.1727[/C][C]0.879227[/C][/ROW]
[ROW][C]11[/C][C]-0.0068[/C][C]-0.1444[/C][C]0.557384[/C][/ROW]
[ROW][C]12[/C][C]0.051526[/C][C]1.0942[/C][C]0.137216[/C][/ROW]
[ROW][C]13[/C][C]0.004265[/C][C]0.0906[/C][C]0.463934[/C][/ROW]
[ROW][C]14[/C][C]0.032691[/C][C]0.6943[/C][C]0.243939[/C][/ROW]
[ROW][C]15[/C][C]-0.028283[/C][C]-0.6006[/C][C]0.725808[/C][/ROW]
[ROW][C]16[/C][C]-0.00245[/C][C]-0.052[/C][C]0.520733[/C][/ROW]
[ROW][C]17[/C][C]0.053848[/C][C]1.1435[/C][C]0.126709[/C][/ROW]
[ROW][C]18[/C][C]-0.05112[/C][C]-1.0856[/C][C]0.860885[/C][/ROW]
[ROW][C]19[/C][C]-0.039378[/C][C]-0.8363[/C][C]0.798274[/C][/ROW]
[ROW][C]20[/C][C]0.117375[/C][C]2.4927[/C][C]0.006518[/C][/ROW]
[ROW][C]21[/C][C]0.038812[/C][C]0.8242[/C][C]0.205122[/C][/ROW]
[ROW][C]22[/C][C]0.022135[/C][C]0.4701[/C][C]0.319264[/C][/ROW]
[ROW][C]23[/C][C]-0.020444[/C][C]-0.4342[/C][C]0.667811[/C][/ROW]
[ROW][C]24[/C][C]-0.083683[/C][C]-1.7771[/C][C]0.961891[/C][/ROW]
[ROW][C]25[/C][C]-0.006463[/C][C]-0.1372[/C][C]0.554552[/C][/ROW]
[ROW][C]26[/C][C]-0.052552[/C][C]-1.116[/C][C]0.867501[/C][/ROW]
[ROW][C]27[/C][C]-0.002237[/C][C]-0.0475[/C][C]0.518935[/C][/ROW]
[ROW][C]28[/C][C]0.008111[/C][C]0.1722[/C][C]0.431661[/C][/ROW]
[ROW][C]29[/C][C]0.094642[/C][C]2.0099[/C][C]0.022519[/C][/ROW]
[ROW][C]30[/C][C]0.054884[/C][C]1.1656[/C][C]0.122206[/C][/ROW]
[ROW][C]31[/C][C]-0.020627[/C][C]-0.438[/C][C]0.669218[/C][/ROW]
[ROW][C]32[/C][C]-0.010059[/C][C]-0.2136[/C][C]0.584534[/C][/ROW]
[ROW][C]33[/C][C]-0.042553[/C][C]-0.9037[/C][C]0.816679[/C][/ROW]
[ROW][C]34[/C][C]-0.018182[/C][C]-0.3861[/C][C]0.650209[/C][/ROW]
[ROW][C]35[/C][C]-0.041386[/C][C]-0.8789[/C][C]0.810041[/C][/ROW]
[ROW][C]36[/C][C]-0.051209[/C][C]-1.0875[/C][C]0.861304[/C][/ROW]
[ROW][C]37[/C][C]-0.095157[/C][C]-2.0208[/C][C]0.978056[/C][/ROW]
[ROW][C]38[/C][C]0.001411[/C][C]0.03[/C][C]0.488053[/C][/ROW]
[ROW][C]39[/C][C]0.006082[/C][C]0.1292[/C][C]0.448644[/C][/ROW]
[ROW][C]40[/C][C]-0.015252[/C][C]-0.3239[/C][C]0.626922[/C][/ROW]
[ROW][C]41[/C][C]-0.037282[/C][C]-0.7917[/C][C]0.785536[/C][/ROW]
[ROW][C]42[/C][C]0.031288[/C][C]0.6645[/C][C]0.253369[/C][/ROW]
[ROW][C]43[/C][C]0.032019[/C][C]0.68[/C][C]0.248433[/C][/ROW]
[ROW][C]44[/C][C]0.056858[/C][C]1.2075[/C][C]0.113941[/C][/ROW]
[ROW][C]45[/C][C]0.090818[/C][C]1.9287[/C][C]0.0272[/C][/ROW]
[ROW][C]46[/C][C]0.05175[/C][C]1.099[/C][C]0.136178[/C][/ROW]
[ROW][C]47[/C][C]0.060583[/C][C]1.2866[/C][C]0.099449[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2339&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2339&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
00.2531655.37640
1-0.014108-0.29960.617694
20.0691561.46860.071313
3-0.115688-2.45680.992804
4-0.003323-0.07060.528111
5-0.097495-2.07050.980512
6-0.020218-0.42940.666068
70.0021860.04640.481501
8-0.039454-0.83790.798729
9-0.049394-1.0490.852622
10-0.055219-1.17270.879227
11-0.0068-0.14440.557384
120.0515261.09420.137216
130.0042650.09060.463934
140.0326910.69430.243939
15-0.028283-0.60060.725808
16-0.00245-0.0520.520733
170.0538481.14350.126709
18-0.05112-1.08560.860885
19-0.039378-0.83630.798274
200.1173752.49270.006518
210.0388120.82420.205122
220.0221350.47010.319264
23-0.020444-0.43420.667811
24-0.083683-1.77710.961891
25-0.006463-0.13720.554552
26-0.052552-1.1160.867501
27-0.002237-0.04750.518935
280.0081110.17220.431661
290.0946422.00990.022519
300.0548841.16560.122206
31-0.020627-0.4380.669218
32-0.010059-0.21360.584534
33-0.042553-0.90370.816679
34-0.018182-0.38610.650209
35-0.041386-0.87890.810041
36-0.051209-1.08750.861304
37-0.095157-2.02080.978056
380.0014110.030.488053
390.0060820.12920.448644
40-0.015252-0.32390.626922
41-0.037282-0.79170.785536
420.0312880.66450.253369
430.0320190.680.248433
440.0568581.20750.113941
450.0908181.92870.0272
460.051751.0990.136178
470.0605831.28660.099449


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')