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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 21 Dec 2008 14:08:32 -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/2008/Dec/21/t1229893799k7y8eefk7p4vozq.htm/, Retrieved Sun, 26 May 2024 03:31:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35828, Retrieved Sun, 26 May 2024 03:31:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0800650 Jan Werkhoven
Estimated Impact160

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid: Tot...] [2008-11-03 21:02:03] [944cfe91fab3d898afdbc7f6b8914047]
- R PD  [Univariate Data Series] [Total unemployeme...] [2008-12-10 16:35:06] [944cfe91fab3d898afdbc7f6b8914047]
-   PD    [Univariate Data Series] [Total unemployeme...] [2008-12-10 18:49:43] [944cfe91fab3d898afdbc7f6b8914047]
- RMP       [(Partial) Autocorrelation Function] [D1: Autocorrelati...] [2008-12-21 21:03:40] [944cfe91fab3d898afdbc7f6b8914047]
-    D          [(Partial) Autocorrelation Function] [400 random number...] [2008-12-21 21:08:32] [721fbc57bdc4e4e6ec78137fe5a723c9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
63
59
10
21
12
63
61
59
70
26
74
82
40
39
28
92
2
54
25
40
96
4
29
22
14
47
15
80
92
22
57
42
53
72
15
65
29
7
84
1
36
56
86
65
75
85
12
11
68
79
90
71
68
23
6
97
6
65
18
78
14
98
79
30
74
1
36
25
41
93
39
77
51
67
51
85
71
71
74
45
47
83
82
23
73
67
14
84
40
67
52
23
4
56
81
75
37
30
56
51
67
50
67
59
17
53
44
6
49
84
52
37
4
53
52
43
94
50
39
61
96
2
38
11
82
40
46
99
81
39
88
66
24
27
23
54
85
66
48
18
57
78
90
15
72
5
25
97
37
39
22
88
39
30
79
7
91
36
14
91
34
10
71
28
40
92
47
34
60
79
23
26
29
3
97
52
48
15
62
96
12
31
72
45
75
54
45
64
9
41
85
11
59
11
21
95
45
88
47
18
100
46
27
2
79
69
33
31
34
31
63
94
26
92
80
70
88
57
54
70
80
17
53
86
95
58
8
28
48
2
69
2
52
57
60
22
90
35
87
42
29
6
3
88
17
1
62
3
26
12
74
39
2
8
66
43
86
33
63
36
69
73
8
74
64
6
98
93
60
93
55
4
42
79
2
36
8
79
2
80
79
37
28
54
21
72
84
11
34
70
12
9
76
60
7
43
70
54
13
55
95
49
69
30
11
66
19
47
44
32
51
57
2
39
83
70
10
82
67
24
0
9
58
62
77
56
36
16
38
41
18
46
4
12
16
82
48
58
79
94
62
62
99
14
85
87
61
27
96
10
24
40
16
59
18
79
91
38
75
4
85
4
19
40
1
10
61
33
53
46
86
83
56
72
66
60
36
7
87
42
98
53
85
18
70
22
12
35
94
5
56
42
0
58
18
66
67
68
76
59

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=35828&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=35828&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35828&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
1-0.095516-1.91030.028404
2-0.00951-0.19020.424621
30.0795981.5920.056092
4-0.066619-1.33240.091746
50.0115440.23090.40876
6-0.030146-0.60290.27345
70.0212450.42490.335571
8-0.050738-1.01480.155415
9-0.069776-1.39550.081816
100.0807491.6150.053552
11-0.046015-0.92030.178983
12-0.041933-0.83870.201079
130.0526231.05250.146613
140.0044510.0890.464554
15-0.051248-1.0250.153002
160.0117590.23520.407097
17-0.046108-0.92220.1785
180.0537971.07590.141302
19-0.07838-1.56760.058883
200.0333090.66620.252843
21-0.036204-0.72410.234722
220.0214420.42880.334132
230.0135620.27120.393172
24-0.077984-1.55970.059812
250.0064320.12860.448855
26-0.026319-0.52640.299457
270.0254170.50830.30575
28-1.5e-05-3e-040.499883
29-0.065326-1.30650.096064
300.0247910.49580.310145
310.0013810.02760.488987
320.0603751.20750.113978
330.0366450.73290.232025
34-0.019821-0.39640.346
35-0.015942-0.31880.375008
36-0.010629-0.21260.41588
37-0.038655-0.77310.219962
380.0339220.67840.24894
390.0130750.26150.396918
40-0.032847-0.65690.2558
41-0.011397-0.22790.409907
420.0528781.05760.145448
430.0519421.03880.149752
44-0.032593-0.65190.257436
450.0278340.55670.289027
460.0619891.23980.10789
47-0.092478-1.84960.032557
48-0.069997-1.39990.081152
490.1029972.05990.020026
50-0.048677-0.97350.165436
510.011520.23040.408951
52-0.101625-2.03250.021382
530.0101260.20250.419807
540.0534371.06870.142918
55-0.025145-0.50290.307658
560.1051642.10330.018032
57-0.017079-0.34160.366425
58-0.000924-0.01850.492636
590.0764561.52910.063513
600.013230.26460.395726

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.095516 & -1.9103 & 0.028404 \tabularnewline
2 & -0.00951 & -0.1902 & 0.424621 \tabularnewline
3 & 0.079598 & 1.592 & 0.056092 \tabularnewline
4 & -0.066619 & -1.3324 & 0.091746 \tabularnewline
5 & 0.011544 & 0.2309 & 0.40876 \tabularnewline
6 & -0.030146 & -0.6029 & 0.27345 \tabularnewline
7 & 0.021245 & 0.4249 & 0.335571 \tabularnewline
8 & -0.050738 & -1.0148 & 0.155415 \tabularnewline
9 & -0.069776 & -1.3955 & 0.081816 \tabularnewline
10 & 0.080749 & 1.615 & 0.053552 \tabularnewline
11 & -0.046015 & -0.9203 & 0.178983 \tabularnewline
12 & -0.041933 & -0.8387 & 0.201079 \tabularnewline
13 & 0.052623 & 1.0525 & 0.146613 \tabularnewline
14 & 0.004451 & 0.089 & 0.464554 \tabularnewline
15 & -0.051248 & -1.025 & 0.153002 \tabularnewline
16 & 0.011759 & 0.2352 & 0.407097 \tabularnewline
17 & -0.046108 & -0.9222 & 0.1785 \tabularnewline
18 & 0.053797 & 1.0759 & 0.141302 \tabularnewline
19 & -0.07838 & -1.5676 & 0.058883 \tabularnewline
20 & 0.033309 & 0.6662 & 0.252843 \tabularnewline
21 & -0.036204 & -0.7241 & 0.234722 \tabularnewline
22 & 0.021442 & 0.4288 & 0.334132 \tabularnewline
23 & 0.013562 & 0.2712 & 0.393172 \tabularnewline
24 & -0.077984 & -1.5597 & 0.059812 \tabularnewline
25 & 0.006432 & 0.1286 & 0.448855 \tabularnewline
26 & -0.026319 & -0.5264 & 0.299457 \tabularnewline
27 & 0.025417 & 0.5083 & 0.30575 \tabularnewline
28 & -1.5e-05 & -3e-04 & 0.499883 \tabularnewline
29 & -0.065326 & -1.3065 & 0.096064 \tabularnewline
30 & 0.024791 & 0.4958 & 0.310145 \tabularnewline
31 & 0.001381 & 0.0276 & 0.488987 \tabularnewline
32 & 0.060375 & 1.2075 & 0.113978 \tabularnewline
33 & 0.036645 & 0.7329 & 0.232025 \tabularnewline
34 & -0.019821 & -0.3964 & 0.346 \tabularnewline
35 & -0.015942 & -0.3188 & 0.375008 \tabularnewline
36 & -0.010629 & -0.2126 & 0.41588 \tabularnewline
37 & -0.038655 & -0.7731 & 0.219962 \tabularnewline
38 & 0.033922 & 0.6784 & 0.24894 \tabularnewline
39 & 0.013075 & 0.2615 & 0.396918 \tabularnewline
40 & -0.032847 & -0.6569 & 0.2558 \tabularnewline
41 & -0.011397 & -0.2279 & 0.409907 \tabularnewline
42 & 0.052878 & 1.0576 & 0.145448 \tabularnewline
43 & 0.051942 & 1.0388 & 0.149752 \tabularnewline
44 & -0.032593 & -0.6519 & 0.257436 \tabularnewline
45 & 0.027834 & 0.5567 & 0.289027 \tabularnewline
46 & 0.061989 & 1.2398 & 0.10789 \tabularnewline
47 & -0.092478 & -1.8496 & 0.032557 \tabularnewline
48 & -0.069997 & -1.3999 & 0.081152 \tabularnewline
49 & 0.102997 & 2.0599 & 0.020026 \tabularnewline
50 & -0.048677 & -0.9735 & 0.165436 \tabularnewline
51 & 0.01152 & 0.2304 & 0.408951 \tabularnewline
52 & -0.101625 & -2.0325 & 0.021382 \tabularnewline
53 & 0.010126 & 0.2025 & 0.419807 \tabularnewline
54 & 0.053437 & 1.0687 & 0.142918 \tabularnewline
55 & -0.025145 & -0.5029 & 0.307658 \tabularnewline
56 & 0.105164 & 2.1033 & 0.018032 \tabularnewline
57 & -0.017079 & -0.3416 & 0.366425 \tabularnewline
58 & -0.000924 & -0.0185 & 0.492636 \tabularnewline
59 & 0.076456 & 1.5291 & 0.063513 \tabularnewline
60 & 0.01323 & 0.2646 & 0.395726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35828&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]-0.095516[/C][C]-1.9103[/C][C]0.028404[/C][/ROW]
[ROW][C]2[/C][C]-0.00951[/C][C]-0.1902[/C][C]0.424621[/C][/ROW]
[ROW][C]3[/C][C]0.079598[/C][C]1.592[/C][C]0.056092[/C][/ROW]
[ROW][C]4[/C][C]-0.066619[/C][C]-1.3324[/C][C]0.091746[/C][/ROW]
[ROW][C]5[/C][C]0.011544[/C][C]0.2309[/C][C]0.40876[/C][/ROW]
[ROW][C]6[/C][C]-0.030146[/C][C]-0.6029[/C][C]0.27345[/C][/ROW]
[ROW][C]7[/C][C]0.021245[/C][C]0.4249[/C][C]0.335571[/C][/ROW]
[ROW][C]8[/C][C]-0.050738[/C][C]-1.0148[/C][C]0.155415[/C][/ROW]
[ROW][C]9[/C][C]-0.069776[/C][C]-1.3955[/C][C]0.081816[/C][/ROW]
[ROW][C]10[/C][C]0.080749[/C][C]1.615[/C][C]0.053552[/C][/ROW]
[ROW][C]11[/C][C]-0.046015[/C][C]-0.9203[/C][C]0.178983[/C][/ROW]
[ROW][C]12[/C][C]-0.041933[/C][C]-0.8387[/C][C]0.201079[/C][/ROW]
[ROW][C]13[/C][C]0.052623[/C][C]1.0525[/C][C]0.146613[/C][/ROW]
[ROW][C]14[/C][C]0.004451[/C][C]0.089[/C][C]0.464554[/C][/ROW]
[ROW][C]15[/C][C]-0.051248[/C][C]-1.025[/C][C]0.153002[/C][/ROW]
[ROW][C]16[/C][C]0.011759[/C][C]0.2352[/C][C]0.407097[/C][/ROW]
[ROW][C]17[/C][C]-0.046108[/C][C]-0.9222[/C][C]0.1785[/C][/ROW]
[ROW][C]18[/C][C]0.053797[/C][C]1.0759[/C][C]0.141302[/C][/ROW]
[ROW][C]19[/C][C]-0.07838[/C][C]-1.5676[/C][C]0.058883[/C][/ROW]
[ROW][C]20[/C][C]0.033309[/C][C]0.6662[/C][C]0.252843[/C][/ROW]
[ROW][C]21[/C][C]-0.036204[/C][C]-0.7241[/C][C]0.234722[/C][/ROW]
[ROW][C]22[/C][C]0.021442[/C][C]0.4288[/C][C]0.334132[/C][/ROW]
[ROW][C]23[/C][C]0.013562[/C][C]0.2712[/C][C]0.393172[/C][/ROW]
[ROW][C]24[/C][C]-0.077984[/C][C]-1.5597[/C][C]0.059812[/C][/ROW]
[ROW][C]25[/C][C]0.006432[/C][C]0.1286[/C][C]0.448855[/C][/ROW]
[ROW][C]26[/C][C]-0.026319[/C][C]-0.5264[/C][C]0.299457[/C][/ROW]
[ROW][C]27[/C][C]0.025417[/C][C]0.5083[/C][C]0.30575[/C][/ROW]
[ROW][C]28[/C][C]-1.5e-05[/C][C]-3e-04[/C][C]0.499883[/C][/ROW]
[ROW][C]29[/C][C]-0.065326[/C][C]-1.3065[/C][C]0.096064[/C][/ROW]
[ROW][C]30[/C][C]0.024791[/C][C]0.4958[/C][C]0.310145[/C][/ROW]
[ROW][C]31[/C][C]0.001381[/C][C]0.0276[/C][C]0.488987[/C][/ROW]
[ROW][C]32[/C][C]0.060375[/C][C]1.2075[/C][C]0.113978[/C][/ROW]
[ROW][C]33[/C][C]0.036645[/C][C]0.7329[/C][C]0.232025[/C][/ROW]
[ROW][C]34[/C][C]-0.019821[/C][C]-0.3964[/C][C]0.346[/C][/ROW]
[ROW][C]35[/C][C]-0.015942[/C][C]-0.3188[/C][C]0.375008[/C][/ROW]
[ROW][C]36[/C][C]-0.010629[/C][C]-0.2126[/C][C]0.41588[/C][/ROW]
[ROW][C]37[/C][C]-0.038655[/C][C]-0.7731[/C][C]0.219962[/C][/ROW]
[ROW][C]38[/C][C]0.033922[/C][C]0.6784[/C][C]0.24894[/C][/ROW]
[ROW][C]39[/C][C]0.013075[/C][C]0.2615[/C][C]0.396918[/C][/ROW]
[ROW][C]40[/C][C]-0.032847[/C][C]-0.6569[/C][C]0.2558[/C][/ROW]
[ROW][C]41[/C][C]-0.011397[/C][C]-0.2279[/C][C]0.409907[/C][/ROW]
[ROW][C]42[/C][C]0.052878[/C][C]1.0576[/C][C]0.145448[/C][/ROW]
[ROW][C]43[/C][C]0.051942[/C][C]1.0388[/C][C]0.149752[/C][/ROW]
[ROW][C]44[/C][C]-0.032593[/C][C]-0.6519[/C][C]0.257436[/C][/ROW]
[ROW][C]45[/C][C]0.027834[/C][C]0.5567[/C][C]0.289027[/C][/ROW]
[ROW][C]46[/C][C]0.061989[/C][C]1.2398[/C][C]0.10789[/C][/ROW]
[ROW][C]47[/C][C]-0.092478[/C][C]-1.8496[/C][C]0.032557[/C][/ROW]
[ROW][C]48[/C][C]-0.069997[/C][C]-1.3999[/C][C]0.081152[/C][/ROW]
[ROW][C]49[/C][C]0.102997[/C][C]2.0599[/C][C]0.020026[/C][/ROW]
[ROW][C]50[/C][C]-0.048677[/C][C]-0.9735[/C][C]0.165436[/C][/ROW]
[ROW][C]51[/C][C]0.01152[/C][C]0.2304[/C][C]0.408951[/C][/ROW]
[ROW][C]52[/C][C]-0.101625[/C][C]-2.0325[/C][C]0.021382[/C][/ROW]
[ROW][C]53[/C][C]0.010126[/C][C]0.2025[/C][C]0.419807[/C][/ROW]
[ROW][C]54[/C][C]0.053437[/C][C]1.0687[/C][C]0.142918[/C][/ROW]
[ROW][C]55[/C][C]-0.025145[/C][C]-0.5029[/C][C]0.307658[/C][/ROW]
[ROW][C]56[/C][C]0.105164[/C][C]2.1033[/C][C]0.018032[/C][/ROW]
[ROW][C]57[/C][C]-0.017079[/C][C]-0.3416[/C][C]0.366425[/C][/ROW]
[ROW][C]58[/C][C]-0.000924[/C][C]-0.0185[/C][C]0.492636[/C][/ROW]
[ROW][C]59[/C][C]0.076456[/C][C]1.5291[/C][C]0.063513[/C][/ROW]
[ROW][C]60[/C][C]0.01323[/C][C]0.2646[/C][C]0.395726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35828&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35828&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
1-0.095516-1.91030.028404
2-0.00951-0.19020.424621
30.0795981.5920.056092
4-0.066619-1.33240.091746
50.0115440.23090.40876
6-0.030146-0.60290.27345
70.0212450.42490.335571
8-0.050738-1.01480.155415
9-0.069776-1.39550.081816
100.0807491.6150.053552
11-0.046015-0.92030.178983
12-0.041933-0.83870.201079
130.0526231.05250.146613
140.0044510.0890.464554
15-0.051248-1.0250.153002
160.0117590.23520.407097
17-0.046108-0.92220.1785
180.0537971.07590.141302
19-0.07838-1.56760.058883
200.0333090.66620.252843
21-0.036204-0.72410.234722
220.0214420.42880.334132
230.0135620.27120.393172
24-0.077984-1.55970.059812
250.0064320.12860.448855
26-0.026319-0.52640.299457
270.0254170.50830.30575
28-1.5e-05-3e-040.499883
29-0.065326-1.30650.096064
300.0247910.49580.310145
310.0013810.02760.488987
320.0603751.20750.113978
330.0366450.73290.232025
34-0.019821-0.39640.346
35-0.015942-0.31880.375008
36-0.010629-0.21260.41588
37-0.038655-0.77310.219962
380.0339220.67840.24894
390.0130750.26150.396918
40-0.032847-0.65690.2558
41-0.011397-0.22790.409907
420.0528781.05760.145448
430.0519421.03880.149752
44-0.032593-0.65190.257436
450.0278340.55670.289027
460.0619891.23980.10789
47-0.092478-1.84960.032557
48-0.069997-1.39990.081152
490.1029972.05990.020026
50-0.048677-0.97350.165436
510.011520.23040.408951
52-0.101625-2.03250.021382
530.0101260.20250.419807
540.0534371.06870.142918
55-0.025145-0.50290.307658
560.1051642.10330.018032
57-0.017079-0.34160.366425
58-0.000924-0.01850.492636
590.0764561.52910.063513
600.013230.26460.395726






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.095516-1.91030.028404
2-0.018805-0.37610.353518
30.0776121.55220.060699
4-0.052494-1.04990.147204
50.0020870.04170.483363
6-0.036629-0.73260.232119
70.0248290.49660.309878
8-0.052692-1.05380.146297
9-0.074549-1.4910.068377
100.0608071.21610.112325
11-0.024461-0.48920.312474
12-0.045192-0.90380.183314
130.0278910.55780.288641
140.0225810.45160.325891
15-0.050872-1.01740.154778
16-0.004446-0.08890.464597
17-0.056208-1.12420.130809
180.0575591.15120.125173
19-0.070991-1.41980.078221
200.0156610.31320.377138
21-0.048751-0.9750.16507
220.0486170.97230.165734
23-0.012275-0.24550.403101
24-0.073105-1.46210.072249
25-0.016326-0.32650.372101
26-0.026176-0.52350.30045
270.0298980.5980.2751
28-0.018316-0.36630.357163
29-0.055925-1.11850.132012
30-0.00127-0.02540.489878
310.0134680.26940.393894
320.0534391.06880.142908
330.0371650.74330.228868
34-0.015046-0.30090.381819
35-0.02769-0.55380.290011
36-0.028673-0.57350.283328
37-0.03139-0.62780.265247
380.0190950.38190.351369
390.0342820.68560.24667
40-0.040095-0.80190.211543
41-0.025325-0.50650.306395
420.0630691.26140.103954
430.0585151.17030.121287
44-0.022439-0.44880.326915
45-0.004695-0.09390.462616
460.0647441.29490.098054
47-0.058565-1.17130.121089
48-0.106817-2.13630.016629
490.0855531.71110.043923
50-0.011905-0.23810.40596
510.035810.71620.237145
52-0.152227-3.04450.001242
530.0018980.0380.484868
540.0761711.52340.064222
550.0019270.03850.484639
560.0570821.14160.127145
570.016170.32340.373283
580.0345850.69170.244766
590.0352340.70470.240712
600.0268070.53610.29608

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.095516 & -1.9103 & 0.028404 \tabularnewline
2 & -0.018805 & -0.3761 & 0.353518 \tabularnewline
3 & 0.077612 & 1.5522 & 0.060699 \tabularnewline
4 & -0.052494 & -1.0499 & 0.147204 \tabularnewline
5 & 0.002087 & 0.0417 & 0.483363 \tabularnewline
6 & -0.036629 & -0.7326 & 0.232119 \tabularnewline
7 & 0.024829 & 0.4966 & 0.309878 \tabularnewline
8 & -0.052692 & -1.0538 & 0.146297 \tabularnewline
9 & -0.074549 & -1.491 & 0.068377 \tabularnewline
10 & 0.060807 & 1.2161 & 0.112325 \tabularnewline
11 & -0.024461 & -0.4892 & 0.312474 \tabularnewline
12 & -0.045192 & -0.9038 & 0.183314 \tabularnewline
13 & 0.027891 & 0.5578 & 0.288641 \tabularnewline
14 & 0.022581 & 0.4516 & 0.325891 \tabularnewline
15 & -0.050872 & -1.0174 & 0.154778 \tabularnewline
16 & -0.004446 & -0.0889 & 0.464597 \tabularnewline
17 & -0.056208 & -1.1242 & 0.130809 \tabularnewline
18 & 0.057559 & 1.1512 & 0.125173 \tabularnewline
19 & -0.070991 & -1.4198 & 0.078221 \tabularnewline
20 & 0.015661 & 0.3132 & 0.377138 \tabularnewline
21 & -0.048751 & -0.975 & 0.16507 \tabularnewline
22 & 0.048617 & 0.9723 & 0.165734 \tabularnewline
23 & -0.012275 & -0.2455 & 0.403101 \tabularnewline
24 & -0.073105 & -1.4621 & 0.072249 \tabularnewline
25 & -0.016326 & -0.3265 & 0.372101 \tabularnewline
26 & -0.026176 & -0.5235 & 0.30045 \tabularnewline
27 & 0.029898 & 0.598 & 0.2751 \tabularnewline
28 & -0.018316 & -0.3663 & 0.357163 \tabularnewline
29 & -0.055925 & -1.1185 & 0.132012 \tabularnewline
30 & -0.00127 & -0.0254 & 0.489878 \tabularnewline
31 & 0.013468 & 0.2694 & 0.393894 \tabularnewline
32 & 0.053439 & 1.0688 & 0.142908 \tabularnewline
33 & 0.037165 & 0.7433 & 0.228868 \tabularnewline
34 & -0.015046 & -0.3009 & 0.381819 \tabularnewline
35 & -0.02769 & -0.5538 & 0.290011 \tabularnewline
36 & -0.028673 & -0.5735 & 0.283328 \tabularnewline
37 & -0.03139 & -0.6278 & 0.265247 \tabularnewline
38 & 0.019095 & 0.3819 & 0.351369 \tabularnewline
39 & 0.034282 & 0.6856 & 0.24667 \tabularnewline
40 & -0.040095 & -0.8019 & 0.211543 \tabularnewline
41 & -0.025325 & -0.5065 & 0.306395 \tabularnewline
42 & 0.063069 & 1.2614 & 0.103954 \tabularnewline
43 & 0.058515 & 1.1703 & 0.121287 \tabularnewline
44 & -0.022439 & -0.4488 & 0.326915 \tabularnewline
45 & -0.004695 & -0.0939 & 0.462616 \tabularnewline
46 & 0.064744 & 1.2949 & 0.098054 \tabularnewline
47 & -0.058565 & -1.1713 & 0.121089 \tabularnewline
48 & -0.106817 & -2.1363 & 0.016629 \tabularnewline
49 & 0.085553 & 1.7111 & 0.043923 \tabularnewline
50 & -0.011905 & -0.2381 & 0.40596 \tabularnewline
51 & 0.03581 & 0.7162 & 0.237145 \tabularnewline
52 & -0.152227 & -3.0445 & 0.001242 \tabularnewline
53 & 0.001898 & 0.038 & 0.484868 \tabularnewline
54 & 0.076171 & 1.5234 & 0.064222 \tabularnewline
55 & 0.001927 & 0.0385 & 0.484639 \tabularnewline
56 & 0.057082 & 1.1416 & 0.127145 \tabularnewline
57 & 0.01617 & 0.3234 & 0.373283 \tabularnewline
58 & 0.034585 & 0.6917 & 0.244766 \tabularnewline
59 & 0.035234 & 0.7047 & 0.240712 \tabularnewline
60 & 0.026807 & 0.5361 & 0.29608 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35828&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]-0.095516[/C][C]-1.9103[/C][C]0.028404[/C][/ROW]
[ROW][C]2[/C][C]-0.018805[/C][C]-0.3761[/C][C]0.353518[/C][/ROW]
[ROW][C]3[/C][C]0.077612[/C][C]1.5522[/C][C]0.060699[/C][/ROW]
[ROW][C]4[/C][C]-0.052494[/C][C]-1.0499[/C][C]0.147204[/C][/ROW]
[ROW][C]5[/C][C]0.002087[/C][C]0.0417[/C][C]0.483363[/C][/ROW]
[ROW][C]6[/C][C]-0.036629[/C][C]-0.7326[/C][C]0.232119[/C][/ROW]
[ROW][C]7[/C][C]0.024829[/C][C]0.4966[/C][C]0.309878[/C][/ROW]
[ROW][C]8[/C][C]-0.052692[/C][C]-1.0538[/C][C]0.146297[/C][/ROW]
[ROW][C]9[/C][C]-0.074549[/C][C]-1.491[/C][C]0.068377[/C][/ROW]
[ROW][C]10[/C][C]0.060807[/C][C]1.2161[/C][C]0.112325[/C][/ROW]
[ROW][C]11[/C][C]-0.024461[/C][C]-0.4892[/C][C]0.312474[/C][/ROW]
[ROW][C]12[/C][C]-0.045192[/C][C]-0.9038[/C][C]0.183314[/C][/ROW]
[ROW][C]13[/C][C]0.027891[/C][C]0.5578[/C][C]0.288641[/C][/ROW]
[ROW][C]14[/C][C]0.022581[/C][C]0.4516[/C][C]0.325891[/C][/ROW]
[ROW][C]15[/C][C]-0.050872[/C][C]-1.0174[/C][C]0.154778[/C][/ROW]
[ROW][C]16[/C][C]-0.004446[/C][C]-0.0889[/C][C]0.464597[/C][/ROW]
[ROW][C]17[/C][C]-0.056208[/C][C]-1.1242[/C][C]0.130809[/C][/ROW]
[ROW][C]18[/C][C]0.057559[/C][C]1.1512[/C][C]0.125173[/C][/ROW]
[ROW][C]19[/C][C]-0.070991[/C][C]-1.4198[/C][C]0.078221[/C][/ROW]
[ROW][C]20[/C][C]0.015661[/C][C]0.3132[/C][C]0.377138[/C][/ROW]
[ROW][C]21[/C][C]-0.048751[/C][C]-0.975[/C][C]0.16507[/C][/ROW]
[ROW][C]22[/C][C]0.048617[/C][C]0.9723[/C][C]0.165734[/C][/ROW]
[ROW][C]23[/C][C]-0.012275[/C][C]-0.2455[/C][C]0.403101[/C][/ROW]
[ROW][C]24[/C][C]-0.073105[/C][C]-1.4621[/C][C]0.072249[/C][/ROW]
[ROW][C]25[/C][C]-0.016326[/C][C]-0.3265[/C][C]0.372101[/C][/ROW]
[ROW][C]26[/C][C]-0.026176[/C][C]-0.5235[/C][C]0.30045[/C][/ROW]
[ROW][C]27[/C][C]0.029898[/C][C]0.598[/C][C]0.2751[/C][/ROW]
[ROW][C]28[/C][C]-0.018316[/C][C]-0.3663[/C][C]0.357163[/C][/ROW]
[ROW][C]29[/C][C]-0.055925[/C][C]-1.1185[/C][C]0.132012[/C][/ROW]
[ROW][C]30[/C][C]-0.00127[/C][C]-0.0254[/C][C]0.489878[/C][/ROW]
[ROW][C]31[/C][C]0.013468[/C][C]0.2694[/C][C]0.393894[/C][/ROW]
[ROW][C]32[/C][C]0.053439[/C][C]1.0688[/C][C]0.142908[/C][/ROW]
[ROW][C]33[/C][C]0.037165[/C][C]0.7433[/C][C]0.228868[/C][/ROW]
[ROW][C]34[/C][C]-0.015046[/C][C]-0.3009[/C][C]0.381819[/C][/ROW]
[ROW][C]35[/C][C]-0.02769[/C][C]-0.5538[/C][C]0.290011[/C][/ROW]
[ROW][C]36[/C][C]-0.028673[/C][C]-0.5735[/C][C]0.283328[/C][/ROW]
[ROW][C]37[/C][C]-0.03139[/C][C]-0.6278[/C][C]0.265247[/C][/ROW]
[ROW][C]38[/C][C]0.019095[/C][C]0.3819[/C][C]0.351369[/C][/ROW]
[ROW][C]39[/C][C]0.034282[/C][C]0.6856[/C][C]0.24667[/C][/ROW]
[ROW][C]40[/C][C]-0.040095[/C][C]-0.8019[/C][C]0.211543[/C][/ROW]
[ROW][C]41[/C][C]-0.025325[/C][C]-0.5065[/C][C]0.306395[/C][/ROW]
[ROW][C]42[/C][C]0.063069[/C][C]1.2614[/C][C]0.103954[/C][/ROW]
[ROW][C]43[/C][C]0.058515[/C][C]1.1703[/C][C]0.121287[/C][/ROW]
[ROW][C]44[/C][C]-0.022439[/C][C]-0.4488[/C][C]0.326915[/C][/ROW]
[ROW][C]45[/C][C]-0.004695[/C][C]-0.0939[/C][C]0.462616[/C][/ROW]
[ROW][C]46[/C][C]0.064744[/C][C]1.2949[/C][C]0.098054[/C][/ROW]
[ROW][C]47[/C][C]-0.058565[/C][C]-1.1713[/C][C]0.121089[/C][/ROW]
[ROW][C]48[/C][C]-0.106817[/C][C]-2.1363[/C][C]0.016629[/C][/ROW]
[ROW][C]49[/C][C]0.085553[/C][C]1.7111[/C][C]0.043923[/C][/ROW]
[ROW][C]50[/C][C]-0.011905[/C][C]-0.2381[/C][C]0.40596[/C][/ROW]
[ROW][C]51[/C][C]0.03581[/C][C]0.7162[/C][C]0.237145[/C][/ROW]
[ROW][C]52[/C][C]-0.152227[/C][C]-3.0445[/C][C]0.001242[/C][/ROW]
[ROW][C]53[/C][C]0.001898[/C][C]0.038[/C][C]0.484868[/C][/ROW]
[ROW][C]54[/C][C]0.076171[/C][C]1.5234[/C][C]0.064222[/C][/ROW]
[ROW][C]55[/C][C]0.001927[/C][C]0.0385[/C][C]0.484639[/C][/ROW]
[ROW][C]56[/C][C]0.057082[/C][C]1.1416[/C][C]0.127145[/C][/ROW]
[ROW][C]57[/C][C]0.01617[/C][C]0.3234[/C][C]0.373283[/C][/ROW]
[ROW][C]58[/C][C]0.034585[/C][C]0.6917[/C][C]0.244766[/C][/ROW]
[ROW][C]59[/C][C]0.035234[/C][C]0.7047[/C][C]0.240712[/C][/ROW]
[ROW][C]60[/C][C]0.026807[/C][C]0.5361[/C][C]0.29608[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35828&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35828&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
1-0.095516-1.91030.028404
2-0.018805-0.37610.353518
30.0776121.55220.060699
4-0.052494-1.04990.147204
50.0020870.04170.483363
6-0.036629-0.73260.232119
70.0248290.49660.309878
8-0.052692-1.05380.146297
9-0.074549-1.4910.068377
100.0608071.21610.112325
11-0.024461-0.48920.312474
12-0.045192-0.90380.183314
130.0278910.55780.288641
140.0225810.45160.325891
15-0.050872-1.01740.154778
16-0.004446-0.08890.464597
17-0.056208-1.12420.130809
180.0575591.15120.125173
19-0.070991-1.41980.078221
200.0156610.31320.377138
21-0.048751-0.9750.16507
220.0486170.97230.165734
23-0.012275-0.24550.403101
24-0.073105-1.46210.072249
25-0.016326-0.32650.372101
26-0.026176-0.52350.30045
270.0298980.5980.2751
28-0.018316-0.36630.357163
29-0.055925-1.11850.132012
30-0.00127-0.02540.489878
310.0134680.26940.393894
320.0534391.06880.142908
330.0371650.74330.228868
34-0.015046-0.30090.381819
35-0.02769-0.55380.290011
36-0.028673-0.57350.283328
37-0.03139-0.62780.265247
380.0190950.38190.351369
390.0342820.68560.24667
40-0.040095-0.80190.211543
41-0.025325-0.50650.306395
420.0630691.26140.103954
430.0585151.17030.121287
44-0.022439-0.44880.326915
45-0.004695-0.09390.462616
460.0647441.29490.098054
47-0.058565-1.17130.121089
48-0.106817-2.13630.016629
490.0855531.71110.043923
50-0.011905-0.23810.40596
510.035810.71620.237145
52-0.152227-3.04450.001242
530.0018980.0380.484868
540.0761711.52340.064222
550.0019270.03850.484639
560.0570821.14160.127145
570.016170.32340.373283
580.0345850.69170.244766
590.0352340.70470.240712
600.0268070.53610.29608


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')