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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 computationWed, 13 May 2009 03:30:07 -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/13/t1242207067fgske5a761eh9nn.htm/, Retrieved Wed, 08 May 2024 13:30:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39818, Retrieved Wed, 08 May 2024 13:30:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

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] [opgave 6 bis oefe...] [2009-05-13 09:26:55] [74be16979710d4c4e7c6647856088456]
-   P     [(Partial) Autocorrelation Function] [Opgave 6 bis oefe...] [2009-05-13 09:30:07] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
112
118
129
99
116
168
118
129
205
147
150
267
126
129
124
97
102
127
222
214
118
141
154
226
89
77
82
97
127
121
117
117
106
112
134
169
75
108
115
85
101
108
109
124
105
95
135
164
88
85
112
87
91
87
87
142
95
108
139
159
61
82
124
93
108
75
87
103
90
108
123
129
57
65
67
71
76
67
110
118
99
85
107
141
58
65
70
86
93
74
87
73
101
100
96
157
63
115
70
66
67
83
79
77
102
116
100
135
71
60
89
74
73
91
86
74
87
87
109
137
43
69
73
77
69
76
78
70
83
65
110
132
54
55
66
65
60
65
96
55
71
63
74
106
34
47
56
53
53
55
67
52
46
51
58
91
33
40
46
45
41
55
57
54
46
52
48
77
30
35
42
48
44
45
0
0
46
51
63
84
30
39
45
52
28
40
62

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39818&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39818&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39818&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'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.356313-4.85951e-06
2-0.208791-2.84750.002451
30.1168071.5930.056425
4-0.036484-0.49760.309687
50.0336960.45960.323185
6-0.086413-1.17850.120049
70.0200340.27320.392489
8-0.016448-0.22430.411375
90.0469020.63970.261593
10-0.055043-0.75070.226896
11-0.199651-2.72290.003544
120.5404017.37010
13-0.237715-3.2420.000703
14-0.091929-1.25380.105753
150.0596480.81350.208488
16-0.015256-0.20810.417702
170.0387930.52910.298694
18-0.050784-0.69260.244713
19-0.016769-0.22870.409675
20-0.014778-0.20150.420248
210.0706980.96420.168099
22-0.119758-1.63330.05205
23-0.156509-2.13450.017056
240.4934566.72980
25-0.216015-2.9460.001815
26-0.082704-1.12790.130401
270.0715410.97570.165241
28-0.006898-0.09410.462575
290.0275010.37510.35402
30-0.049214-0.67120.251468
31-0.027303-0.37240.355022
32-0.019115-0.26070.397308
330.0953471.30040.097542
34-0.137965-1.88160.030727
35-0.114922-1.56730.059369
360.439075.98810
37-0.199165-2.71630.003613
38-0.083517-1.1390.128081
390.0581120.79250.214526
400.0301260.41090.34082
410.0136110.18560.42647
42-0.073241-0.99890.159577
430.0090160.1230.451134
44-0.035712-0.48710.313397
450.0594040.81020.209441
46-0.067404-0.91930.179573
47-0.132345-1.80490.036351
480.3934015.36530

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.356313 & -4.8595 & 1e-06 \tabularnewline
2 & -0.208791 & -2.8475 & 0.002451 \tabularnewline
3 & 0.116807 & 1.593 & 0.056425 \tabularnewline
4 & -0.036484 & -0.4976 & 0.309687 \tabularnewline
5 & 0.033696 & 0.4596 & 0.323185 \tabularnewline
6 & -0.086413 & -1.1785 & 0.120049 \tabularnewline
7 & 0.020034 & 0.2732 & 0.392489 \tabularnewline
8 & -0.016448 & -0.2243 & 0.411375 \tabularnewline
9 & 0.046902 & 0.6397 & 0.261593 \tabularnewline
10 & -0.055043 & -0.7507 & 0.226896 \tabularnewline
11 & -0.199651 & -2.7229 & 0.003544 \tabularnewline
12 & 0.540401 & 7.3701 & 0 \tabularnewline
13 & -0.237715 & -3.242 & 0.000703 \tabularnewline
14 & -0.091929 & -1.2538 & 0.105753 \tabularnewline
15 & 0.059648 & 0.8135 & 0.208488 \tabularnewline
16 & -0.015256 & -0.2081 & 0.417702 \tabularnewline
17 & 0.038793 & 0.5291 & 0.298694 \tabularnewline
18 & -0.050784 & -0.6926 & 0.244713 \tabularnewline
19 & -0.016769 & -0.2287 & 0.409675 \tabularnewline
20 & -0.014778 & -0.2015 & 0.420248 \tabularnewline
21 & 0.070698 & 0.9642 & 0.168099 \tabularnewline
22 & -0.119758 & -1.6333 & 0.05205 \tabularnewline
23 & -0.156509 & -2.1345 & 0.017056 \tabularnewline
24 & 0.493456 & 6.7298 & 0 \tabularnewline
25 & -0.216015 & -2.946 & 0.001815 \tabularnewline
26 & -0.082704 & -1.1279 & 0.130401 \tabularnewline
27 & 0.071541 & 0.9757 & 0.165241 \tabularnewline
28 & -0.006898 & -0.0941 & 0.462575 \tabularnewline
29 & 0.027501 & 0.3751 & 0.35402 \tabularnewline
30 & -0.049214 & -0.6712 & 0.251468 \tabularnewline
31 & -0.027303 & -0.3724 & 0.355022 \tabularnewline
32 & -0.019115 & -0.2607 & 0.397308 \tabularnewline
33 & 0.095347 & 1.3004 & 0.097542 \tabularnewline
34 & -0.137965 & -1.8816 & 0.030727 \tabularnewline
35 & -0.114922 & -1.5673 & 0.059369 \tabularnewline
36 & 0.43907 & 5.9881 & 0 \tabularnewline
37 & -0.199165 & -2.7163 & 0.003613 \tabularnewline
38 & -0.083517 & -1.139 & 0.128081 \tabularnewline
39 & 0.058112 & 0.7925 & 0.214526 \tabularnewline
40 & 0.030126 & 0.4109 & 0.34082 \tabularnewline
41 & 0.013611 & 0.1856 & 0.42647 \tabularnewline
42 & -0.073241 & -0.9989 & 0.159577 \tabularnewline
43 & 0.009016 & 0.123 & 0.451134 \tabularnewline
44 & -0.035712 & -0.4871 & 0.313397 \tabularnewline
45 & 0.059404 & 0.8102 & 0.209441 \tabularnewline
46 & -0.067404 & -0.9193 & 0.179573 \tabularnewline
47 & -0.132345 & -1.8049 & 0.036351 \tabularnewline
48 & 0.393401 & 5.3653 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39818&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]-0.356313[/C][C]-4.8595[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.208791[/C][C]-2.8475[/C][C]0.002451[/C][/ROW]
[ROW][C]3[/C][C]0.116807[/C][C]1.593[/C][C]0.056425[/C][/ROW]
[ROW][C]4[/C][C]-0.036484[/C][C]-0.4976[/C][C]0.309687[/C][/ROW]
[ROW][C]5[/C][C]0.033696[/C][C]0.4596[/C][C]0.323185[/C][/ROW]
[ROW][C]6[/C][C]-0.086413[/C][C]-1.1785[/C][C]0.120049[/C][/ROW]
[ROW][C]7[/C][C]0.020034[/C][C]0.2732[/C][C]0.392489[/C][/ROW]
[ROW][C]8[/C][C]-0.016448[/C][C]-0.2243[/C][C]0.411375[/C][/ROW]
[ROW][C]9[/C][C]0.046902[/C][C]0.6397[/C][C]0.261593[/C][/ROW]
[ROW][C]10[/C][C]-0.055043[/C][C]-0.7507[/C][C]0.226896[/C][/ROW]
[ROW][C]11[/C][C]-0.199651[/C][C]-2.7229[/C][C]0.003544[/C][/ROW]
[ROW][C]12[/C][C]0.540401[/C][C]7.3701[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.237715[/C][C]-3.242[/C][C]0.000703[/C][/ROW]
[ROW][C]14[/C][C]-0.091929[/C][C]-1.2538[/C][C]0.105753[/C][/ROW]
[ROW][C]15[/C][C]0.059648[/C][C]0.8135[/C][C]0.208488[/C][/ROW]
[ROW][C]16[/C][C]-0.015256[/C][C]-0.2081[/C][C]0.417702[/C][/ROW]
[ROW][C]17[/C][C]0.038793[/C][C]0.5291[/C][C]0.298694[/C][/ROW]
[ROW][C]18[/C][C]-0.050784[/C][C]-0.6926[/C][C]0.244713[/C][/ROW]
[ROW][C]19[/C][C]-0.016769[/C][C]-0.2287[/C][C]0.409675[/C][/ROW]
[ROW][C]20[/C][C]-0.014778[/C][C]-0.2015[/C][C]0.420248[/C][/ROW]
[ROW][C]21[/C][C]0.070698[/C][C]0.9642[/C][C]0.168099[/C][/ROW]
[ROW][C]22[/C][C]-0.119758[/C][C]-1.6333[/C][C]0.05205[/C][/ROW]
[ROW][C]23[/C][C]-0.156509[/C][C]-2.1345[/C][C]0.017056[/C][/ROW]
[ROW][C]24[/C][C]0.493456[/C][C]6.7298[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.216015[/C][C]-2.946[/C][C]0.001815[/C][/ROW]
[ROW][C]26[/C][C]-0.082704[/C][C]-1.1279[/C][C]0.130401[/C][/ROW]
[ROW][C]27[/C][C]0.071541[/C][C]0.9757[/C][C]0.165241[/C][/ROW]
[ROW][C]28[/C][C]-0.006898[/C][C]-0.0941[/C][C]0.462575[/C][/ROW]
[ROW][C]29[/C][C]0.027501[/C][C]0.3751[/C][C]0.35402[/C][/ROW]
[ROW][C]30[/C][C]-0.049214[/C][C]-0.6712[/C][C]0.251468[/C][/ROW]
[ROW][C]31[/C][C]-0.027303[/C][C]-0.3724[/C][C]0.355022[/C][/ROW]
[ROW][C]32[/C][C]-0.019115[/C][C]-0.2607[/C][C]0.397308[/C][/ROW]
[ROW][C]33[/C][C]0.095347[/C][C]1.3004[/C][C]0.097542[/C][/ROW]
[ROW][C]34[/C][C]-0.137965[/C][C]-1.8816[/C][C]0.030727[/C][/ROW]
[ROW][C]35[/C][C]-0.114922[/C][C]-1.5673[/C][C]0.059369[/C][/ROW]
[ROW][C]36[/C][C]0.43907[/C][C]5.9881[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.199165[/C][C]-2.7163[/C][C]0.003613[/C][/ROW]
[ROW][C]38[/C][C]-0.083517[/C][C]-1.139[/C][C]0.128081[/C][/ROW]
[ROW][C]39[/C][C]0.058112[/C][C]0.7925[/C][C]0.214526[/C][/ROW]
[ROW][C]40[/C][C]0.030126[/C][C]0.4109[/C][C]0.34082[/C][/ROW]
[ROW][C]41[/C][C]0.013611[/C][C]0.1856[/C][C]0.42647[/C][/ROW]
[ROW][C]42[/C][C]-0.073241[/C][C]-0.9989[/C][C]0.159577[/C][/ROW]
[ROW][C]43[/C][C]0.009016[/C][C]0.123[/C][C]0.451134[/C][/ROW]
[ROW][C]44[/C][C]-0.035712[/C][C]-0.4871[/C][C]0.313397[/C][/ROW]
[ROW][C]45[/C][C]0.059404[/C][C]0.8102[/C][C]0.209441[/C][/ROW]
[ROW][C]46[/C][C]-0.067404[/C][C]-0.9193[/C][C]0.179573[/C][/ROW]
[ROW][C]47[/C][C]-0.132345[/C][C]-1.8049[/C][C]0.036351[/C][/ROW]
[ROW][C]48[/C][C]0.393401[/C][C]5.3653[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39818&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39818&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
1-0.356313-4.85951e-06
2-0.208791-2.84750.002451
30.1168071.5930.056425
4-0.036484-0.49760.309687
50.0336960.45960.323185
6-0.086413-1.17850.120049
70.0200340.27320.392489
8-0.016448-0.22430.411375
90.0469020.63970.261593
10-0.055043-0.75070.226896
11-0.199651-2.72290.003544
120.5404017.37010
13-0.237715-3.2420.000703
14-0.091929-1.25380.105753
150.0596480.81350.208488
16-0.015256-0.20810.417702
170.0387930.52910.298694
18-0.050784-0.69260.244713
19-0.016769-0.22870.409675
20-0.014778-0.20150.420248
210.0706980.96420.168099
22-0.119758-1.63330.05205
23-0.156509-2.13450.017056
240.4934566.72980
25-0.216015-2.9460.001815
26-0.082704-1.12790.130401
270.0715410.97570.165241
28-0.006898-0.09410.462575
290.0275010.37510.35402
30-0.049214-0.67120.251468
31-0.027303-0.37240.355022
32-0.019115-0.26070.397308
330.0953471.30040.097542
34-0.137965-1.88160.030727
35-0.114922-1.56730.059369
360.439075.98810
37-0.199165-2.71630.003613
38-0.083517-1.1390.128081
390.0581120.79250.214526
400.0301260.41090.34082
410.0136110.18560.42647
42-0.073241-0.99890.159577
430.0090160.1230.451134
44-0.035712-0.48710.313397
450.0594040.81020.209441
46-0.067404-0.91930.179573
47-0.132345-1.80490.036351
480.3934015.36530






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.356313-4.85951e-06
2-0.384575-5.24490
3-0.165646-2.25910.012518
4-0.176635-2.4090.008486
5-0.059454-0.81080.209245
6-0.168346-2.29590.011397
7-0.121422-1.6560.049707
8-0.185142-2.5250.006203
9-0.090496-1.23420.109344
10-0.179985-2.45470.007511
11-0.482542-6.5810
120.2164062.95140.001785
13-0.037341-0.50930.305584
140.1156231.57690.05826
15-0.027454-0.37440.354256
160.0559660.76330.223133
170.0241090.32880.371338
180.1089421.48580.069516
190.0380770.51930.302083
200.0350170.47760.316761
210.1045231.42550.077843
22-0.137301-1.87250.031351
23-0.259158-3.53440.000258
240.0046260.06310.474883
25-0.064587-0.88080.18977
26-0.034411-0.46930.319701
27-0.033358-0.45490.324842
28-0.015687-0.21390.415415
29-0.016695-0.22770.410071
300.0070180.09570.461928
31-0.017288-0.23580.40693
32-0.021686-0.29580.383874
330.0847561.15590.1246
34-0.06075-0.82850.20422
35-0.090891-1.23960.108345
360.0389340.5310.298029
370.0210550.28710.387159
38-0.006171-0.08420.466512
39-0.023476-0.32020.374601
400.0425550.58040.281183
410.0183530.25030.401315
42-0.018386-0.25080.401142
430.0206610.28180.389212
44-0.028018-0.38210.351405
45-0.066553-0.90770.182617
460.0013980.01910.492403
47-0.120283-1.64040.051302
480.0213170.29070.385791

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.356313 & -4.8595 & 1e-06 \tabularnewline
2 & -0.384575 & -5.2449 & 0 \tabularnewline
3 & -0.165646 & -2.2591 & 0.012518 \tabularnewline
4 & -0.176635 & -2.409 & 0.008486 \tabularnewline
5 & -0.059454 & -0.8108 & 0.209245 \tabularnewline
6 & -0.168346 & -2.2959 & 0.011397 \tabularnewline
7 & -0.121422 & -1.656 & 0.049707 \tabularnewline
8 & -0.185142 & -2.525 & 0.006203 \tabularnewline
9 & -0.090496 & -1.2342 & 0.109344 \tabularnewline
10 & -0.179985 & -2.4547 & 0.007511 \tabularnewline
11 & -0.482542 & -6.581 & 0 \tabularnewline
12 & 0.216406 & 2.9514 & 0.001785 \tabularnewline
13 & -0.037341 & -0.5093 & 0.305584 \tabularnewline
14 & 0.115623 & 1.5769 & 0.05826 \tabularnewline
15 & -0.027454 & -0.3744 & 0.354256 \tabularnewline
16 & 0.055966 & 0.7633 & 0.223133 \tabularnewline
17 & 0.024109 & 0.3288 & 0.371338 \tabularnewline
18 & 0.108942 & 1.4858 & 0.069516 \tabularnewline
19 & 0.038077 & 0.5193 & 0.302083 \tabularnewline
20 & 0.035017 & 0.4776 & 0.316761 \tabularnewline
21 & 0.104523 & 1.4255 & 0.077843 \tabularnewline
22 & -0.137301 & -1.8725 & 0.031351 \tabularnewline
23 & -0.259158 & -3.5344 & 0.000258 \tabularnewline
24 & 0.004626 & 0.0631 & 0.474883 \tabularnewline
25 & -0.064587 & -0.8808 & 0.18977 \tabularnewline
26 & -0.034411 & -0.4693 & 0.319701 \tabularnewline
27 & -0.033358 & -0.4549 & 0.324842 \tabularnewline
28 & -0.015687 & -0.2139 & 0.415415 \tabularnewline
29 & -0.016695 & -0.2277 & 0.410071 \tabularnewline
30 & 0.007018 & 0.0957 & 0.461928 \tabularnewline
31 & -0.017288 & -0.2358 & 0.40693 \tabularnewline
32 & -0.021686 & -0.2958 & 0.383874 \tabularnewline
33 & 0.084756 & 1.1559 & 0.1246 \tabularnewline
34 & -0.06075 & -0.8285 & 0.20422 \tabularnewline
35 & -0.090891 & -1.2396 & 0.108345 \tabularnewline
36 & 0.038934 & 0.531 & 0.298029 \tabularnewline
37 & 0.021055 & 0.2871 & 0.387159 \tabularnewline
38 & -0.006171 & -0.0842 & 0.466512 \tabularnewline
39 & -0.023476 & -0.3202 & 0.374601 \tabularnewline
40 & 0.042555 & 0.5804 & 0.281183 \tabularnewline
41 & 0.018353 & 0.2503 & 0.401315 \tabularnewline
42 & -0.018386 & -0.2508 & 0.401142 \tabularnewline
43 & 0.020661 & 0.2818 & 0.389212 \tabularnewline
44 & -0.028018 & -0.3821 & 0.351405 \tabularnewline
45 & -0.066553 & -0.9077 & 0.182617 \tabularnewline
46 & 0.001398 & 0.0191 & 0.492403 \tabularnewline
47 & -0.120283 & -1.6404 & 0.051302 \tabularnewline
48 & 0.021317 & 0.2907 & 0.385791 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39818&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]-0.356313[/C][C]-4.8595[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.384575[/C][C]-5.2449[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]-0.165646[/C][C]-2.2591[/C][C]0.012518[/C][/ROW]
[ROW][C]4[/C][C]-0.176635[/C][C]-2.409[/C][C]0.008486[/C][/ROW]
[ROW][C]5[/C][C]-0.059454[/C][C]-0.8108[/C][C]0.209245[/C][/ROW]
[ROW][C]6[/C][C]-0.168346[/C][C]-2.2959[/C][C]0.011397[/C][/ROW]
[ROW][C]7[/C][C]-0.121422[/C][C]-1.656[/C][C]0.049707[/C][/ROW]
[ROW][C]8[/C][C]-0.185142[/C][C]-2.525[/C][C]0.006203[/C][/ROW]
[ROW][C]9[/C][C]-0.090496[/C][C]-1.2342[/C][C]0.109344[/C][/ROW]
[ROW][C]10[/C][C]-0.179985[/C][C]-2.4547[/C][C]0.007511[/C][/ROW]
[ROW][C]11[/C][C]-0.482542[/C][C]-6.581[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.216406[/C][C]2.9514[/C][C]0.001785[/C][/ROW]
[ROW][C]13[/C][C]-0.037341[/C][C]-0.5093[/C][C]0.305584[/C][/ROW]
[ROW][C]14[/C][C]0.115623[/C][C]1.5769[/C][C]0.05826[/C][/ROW]
[ROW][C]15[/C][C]-0.027454[/C][C]-0.3744[/C][C]0.354256[/C][/ROW]
[ROW][C]16[/C][C]0.055966[/C][C]0.7633[/C][C]0.223133[/C][/ROW]
[ROW][C]17[/C][C]0.024109[/C][C]0.3288[/C][C]0.371338[/C][/ROW]
[ROW][C]18[/C][C]0.108942[/C][C]1.4858[/C][C]0.069516[/C][/ROW]
[ROW][C]19[/C][C]0.038077[/C][C]0.5193[/C][C]0.302083[/C][/ROW]
[ROW][C]20[/C][C]0.035017[/C][C]0.4776[/C][C]0.316761[/C][/ROW]
[ROW][C]21[/C][C]0.104523[/C][C]1.4255[/C][C]0.077843[/C][/ROW]
[ROW][C]22[/C][C]-0.137301[/C][C]-1.8725[/C][C]0.031351[/C][/ROW]
[ROW][C]23[/C][C]-0.259158[/C][C]-3.5344[/C][C]0.000258[/C][/ROW]
[ROW][C]24[/C][C]0.004626[/C][C]0.0631[/C][C]0.474883[/C][/ROW]
[ROW][C]25[/C][C]-0.064587[/C][C]-0.8808[/C][C]0.18977[/C][/ROW]
[ROW][C]26[/C][C]-0.034411[/C][C]-0.4693[/C][C]0.319701[/C][/ROW]
[ROW][C]27[/C][C]-0.033358[/C][C]-0.4549[/C][C]0.324842[/C][/ROW]
[ROW][C]28[/C][C]-0.015687[/C][C]-0.2139[/C][C]0.415415[/C][/ROW]
[ROW][C]29[/C][C]-0.016695[/C][C]-0.2277[/C][C]0.410071[/C][/ROW]
[ROW][C]30[/C][C]0.007018[/C][C]0.0957[/C][C]0.461928[/C][/ROW]
[ROW][C]31[/C][C]-0.017288[/C][C]-0.2358[/C][C]0.40693[/C][/ROW]
[ROW][C]32[/C][C]-0.021686[/C][C]-0.2958[/C][C]0.383874[/C][/ROW]
[ROW][C]33[/C][C]0.084756[/C][C]1.1559[/C][C]0.1246[/C][/ROW]
[ROW][C]34[/C][C]-0.06075[/C][C]-0.8285[/C][C]0.20422[/C][/ROW]
[ROW][C]35[/C][C]-0.090891[/C][C]-1.2396[/C][C]0.108345[/C][/ROW]
[ROW][C]36[/C][C]0.038934[/C][C]0.531[/C][C]0.298029[/C][/ROW]
[ROW][C]37[/C][C]0.021055[/C][C]0.2871[/C][C]0.387159[/C][/ROW]
[ROW][C]38[/C][C]-0.006171[/C][C]-0.0842[/C][C]0.466512[/C][/ROW]
[ROW][C]39[/C][C]-0.023476[/C][C]-0.3202[/C][C]0.374601[/C][/ROW]
[ROW][C]40[/C][C]0.042555[/C][C]0.5804[/C][C]0.281183[/C][/ROW]
[ROW][C]41[/C][C]0.018353[/C][C]0.2503[/C][C]0.401315[/C][/ROW]
[ROW][C]42[/C][C]-0.018386[/C][C]-0.2508[/C][C]0.401142[/C][/ROW]
[ROW][C]43[/C][C]0.020661[/C][C]0.2818[/C][C]0.389212[/C][/ROW]
[ROW][C]44[/C][C]-0.028018[/C][C]-0.3821[/C][C]0.351405[/C][/ROW]
[ROW][C]45[/C][C]-0.066553[/C][C]-0.9077[/C][C]0.182617[/C][/ROW]
[ROW][C]46[/C][C]0.001398[/C][C]0.0191[/C][C]0.492403[/C][/ROW]
[ROW][C]47[/C][C]-0.120283[/C][C]-1.6404[/C][C]0.051302[/C][/ROW]
[ROW][C]48[/C][C]0.021317[/C][C]0.2907[/C][C]0.385791[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39818&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39818&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
1-0.356313-4.85951e-06
2-0.384575-5.24490
3-0.165646-2.25910.012518
4-0.176635-2.4090.008486
5-0.059454-0.81080.209245
6-0.168346-2.29590.011397
7-0.121422-1.6560.049707
8-0.185142-2.5250.006203
9-0.090496-1.23420.109344
10-0.179985-2.45470.007511
11-0.482542-6.5810
120.2164062.95140.001785
13-0.037341-0.50930.305584
140.1156231.57690.05826
15-0.027454-0.37440.354256
160.0559660.76330.223133
170.0241090.32880.371338
180.1089421.48580.069516
190.0380770.51930.302083
200.0350170.47760.316761
210.1045231.42550.077843
22-0.137301-1.87250.031351
23-0.259158-3.53440.000258
240.0046260.06310.474883
25-0.064587-0.88080.18977
26-0.034411-0.46930.319701
27-0.033358-0.45490.324842
28-0.015687-0.21390.415415
29-0.016695-0.22770.410071
300.0070180.09570.461928
31-0.017288-0.23580.40693
32-0.021686-0.29580.383874
330.0847561.15590.1246
34-0.06075-0.82850.20422
35-0.090891-1.23960.108345
360.0389340.5310.298029
370.0210550.28710.387159
38-0.006171-0.08420.466512
39-0.023476-0.32020.374601
400.0425550.58040.281183
410.0183530.25030.401315
42-0.018386-0.25080.401142
430.0206610.28180.389212
44-0.028018-0.38210.351405
45-0.066553-0.90770.182617
460.0013980.01910.492403
47-0.120283-1.64040.051302
480.0213170.29070.385791


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 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')