FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 18 Dec 2008 07:18:44 -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/18/t122961020679cpytgxehvz8m1.htm/, Retrieved Sun, 12 May 2024 11:05:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34791, Retrieved Sun, 12 May 2024 11:05:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper auto D,d 1,1 werk 20
Estimated Impact201

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [(Partial) Autocorrelation Function] [Paper: autocorrel...] [2008-12-05 10:20:24] [27f46dbe13ae2811dfd3a6f3c54d4d50]
F   PD  [(Partial) Autocorrelation Function] [Paper: autocorrel...] [2008-12-05 10:26:40] [27f46dbe13ae2811dfd3a6f3c54d4d50]
F   PD    [(Partial) Autocorrelation Function] [Paper: werklooshe...] [2008-12-05 10:43:32] [74be16979710d4c4e7c6647856088456]
-           [(Partial) Autocorrelation Function] [paper autocor D,d...] [2008-12-16 19:30:19] [cffae85c0a86f346d9df0bc892725b8f]
-    D          [(Partial) Autocorrelation Function] [paper auto D,d 1,...] [2008-12-18 14:18:44] [d8c5724db236abb5950452133b88474d] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106,2
101,6
99
96,4
94
93,2
103
103,6
103,2
102,2
100
99,6
98,8
95,2
91,6
88,6
86
84,8
95,2
96,2
94
92
90,2
90
88,8
85,8
84,2
80
77,8
76,8
86,4
89,2
86,2
84,6
83,2
83,2
82,6
79,8
77,2
74,8
73
73
83,6
85,6
84,8
84,2
83,4
84,6
84,6
83,8
81,2
79,6
78
78,2
88,8
92
91
91,2
90,4
91,8
92,2
90,2
88,6
87,8
86
87,2
97,6
101,2
100,4
100,2
100,2
103
104,2
104
102,4
101,8
101
102,2
114
118,4
118,8
117,2
117,2
118,4
118,8
117,2
114,4
112,6
111
110,8
120,2
124,4
123,4
121,2
119
119,8
120
118,4
115
113,4
111
111
121,6
126,2
125,8
124,8
122
123,2
124,2
120,8
116,8
114,8
111
109
119,8
124
121,6
118
115,8
116
115,8
114,4
112
110,2
107,4
108,2
117,6
121,4
119,8
115,6
112,6
113,2
112,2
110,8
108
105,2
102,4
101
110,8
116,8
113,8
108
104,4
105,2
105,4
103,2
100,6
97,8
95,8
95
104,8
110,4
106,4
102,2
98,4
98,4
98,6
96,2
92,4
91,4
88,4
87,8
97,6
104,2
100,2
97
92,8
92
93,4
92
89,6
88,6
87,2
86,2
96,8
102
102,6
100,6
94,2
94,2
95,2
95
94
92,2
91
91,2
103,4
105
104,6
103,8
101,8
102,4
103,8
103,4
102
101,8
100,2
101,4
113,8
116
115,6
113
109,4
111
112,4
112,2
111
108,8
107,4
108,6
118,8
122,2
122,6
122,2
118,8
119
118,2
117,8
116,8
114,6
113,4
113,8
124,2
125,8
125,6
122,4
119
119,4
118,6
118
116
114,8
114,6
114,6
124
125,2
124
117,6
113,2
111,4
112,2
109,8
106,4
105,2
102,2
99,8
111
113
108,4
105,4
102
102,8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34791&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34791&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34791&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0692421.07040.142749
20.0491760.76020.223929
30.1375312.12620.017257
40.1182741.82850.034362
50.1119781.73110.042359
60.090471.39860.08161
70.0494980.76520.222446
80.0394740.61030.271137
90.1079271.66850.048262
10-0.038917-0.60160.273993
11-0.025012-0.38670.349671
12-0.245314-3.79259.4e-05
130.0514590.79550.213546
140.1160881.79470.036984
15-0.003485-0.05390.478539
16-0.015191-0.23480.407266
17-0.026685-0.41250.340157
180.0983961.52120.064771
190.0003270.00510.497984
200.0941441.45540.073432
210.0857731.3260.093049
220.0314420.48610.313678
230.2352413.63670.000169
24-0.025726-0.39770.3456
25-0.043736-0.67610.249803
26-0.017149-0.26510.395573
270.0754911.16710.122175
280.0227810.35220.362505
290.1249631.93190.027279
30-0.09176-1.41860.078662
31-0.033711-0.52120.301367
320.0700541.0830.139949
33-0.114562-1.77110.038911
34-0.050255-0.77690.218986
35-0.127385-1.96930.025036
36-0.022155-0.34250.366132
370.0480110.74220.229338
380.030980.47890.316211
39-0.205291-3.17370.000851
40-0.09565-1.47870.070268
41-0.016926-0.26170.396903
42-0.039781-0.6150.26957
430.0254960.39420.346905
44-0.136762-2.11430.017763
45-0.04835-0.74750.227758
46-0.010499-0.16230.435597
47-0.018097-0.27980.389945
48-0.084698-1.30940.095828
49-0.110726-1.71180.044116
50-0.0105-0.16230.435595
510.0333320.51530.303408
520.0229230.35440.361685
53-0.182851-2.82680.00255
54-0.021026-0.32510.372711
55-0.059875-0.92560.177784
56-0.036119-0.55840.288553
57-0.048391-0.74810.227564
58-0.045577-0.70460.240872
59-0.068913-1.06540.143893
60-0.031727-0.49050.312121

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.069242 & 1.0704 & 0.142749 \tabularnewline
2 & 0.049176 & 0.7602 & 0.223929 \tabularnewline
3 & 0.137531 & 2.1262 & 0.017257 \tabularnewline
4 & 0.118274 & 1.8285 & 0.034362 \tabularnewline
5 & 0.111978 & 1.7311 & 0.042359 \tabularnewline
6 & 0.09047 & 1.3986 & 0.08161 \tabularnewline
7 & 0.049498 & 0.7652 & 0.222446 \tabularnewline
8 & 0.039474 & 0.6103 & 0.271137 \tabularnewline
9 & 0.107927 & 1.6685 & 0.048262 \tabularnewline
10 & -0.038917 & -0.6016 & 0.273993 \tabularnewline
11 & -0.025012 & -0.3867 & 0.349671 \tabularnewline
12 & -0.245314 & -3.7925 & 9.4e-05 \tabularnewline
13 & 0.051459 & 0.7955 & 0.213546 \tabularnewline
14 & 0.116088 & 1.7947 & 0.036984 \tabularnewline
15 & -0.003485 & -0.0539 & 0.478539 \tabularnewline
16 & -0.015191 & -0.2348 & 0.407266 \tabularnewline
17 & -0.026685 & -0.4125 & 0.340157 \tabularnewline
18 & 0.098396 & 1.5212 & 0.064771 \tabularnewline
19 & 0.000327 & 0.0051 & 0.497984 \tabularnewline
20 & 0.094144 & 1.4554 & 0.073432 \tabularnewline
21 & 0.085773 & 1.326 & 0.093049 \tabularnewline
22 & 0.031442 & 0.4861 & 0.313678 \tabularnewline
23 & 0.235241 & 3.6367 & 0.000169 \tabularnewline
24 & -0.025726 & -0.3977 & 0.3456 \tabularnewline
25 & -0.043736 & -0.6761 & 0.249803 \tabularnewline
26 & -0.017149 & -0.2651 & 0.395573 \tabularnewline
27 & 0.075491 & 1.1671 & 0.122175 \tabularnewline
28 & 0.022781 & 0.3522 & 0.362505 \tabularnewline
29 & 0.124963 & 1.9319 & 0.027279 \tabularnewline
30 & -0.09176 & -1.4186 & 0.078662 \tabularnewline
31 & -0.033711 & -0.5212 & 0.301367 \tabularnewline
32 & 0.070054 & 1.083 & 0.139949 \tabularnewline
33 & -0.114562 & -1.7711 & 0.038911 \tabularnewline
34 & -0.050255 & -0.7769 & 0.218986 \tabularnewline
35 & -0.127385 & -1.9693 & 0.025036 \tabularnewline
36 & -0.022155 & -0.3425 & 0.366132 \tabularnewline
37 & 0.048011 & 0.7422 & 0.229338 \tabularnewline
38 & 0.03098 & 0.4789 & 0.316211 \tabularnewline
39 & -0.205291 & -3.1737 & 0.000851 \tabularnewline
40 & -0.09565 & -1.4787 & 0.070268 \tabularnewline
41 & -0.016926 & -0.2617 & 0.396903 \tabularnewline
42 & -0.039781 & -0.615 & 0.26957 \tabularnewline
43 & 0.025496 & 0.3942 & 0.346905 \tabularnewline
44 & -0.136762 & -2.1143 & 0.017763 \tabularnewline
45 & -0.04835 & -0.7475 & 0.227758 \tabularnewline
46 & -0.010499 & -0.1623 & 0.435597 \tabularnewline
47 & -0.018097 & -0.2798 & 0.389945 \tabularnewline
48 & -0.084698 & -1.3094 & 0.095828 \tabularnewline
49 & -0.110726 & -1.7118 & 0.044116 \tabularnewline
50 & -0.0105 & -0.1623 & 0.435595 \tabularnewline
51 & 0.033332 & 0.5153 & 0.303408 \tabularnewline
52 & 0.022923 & 0.3544 & 0.361685 \tabularnewline
53 & -0.182851 & -2.8268 & 0.00255 \tabularnewline
54 & -0.021026 & -0.3251 & 0.372711 \tabularnewline
55 & -0.059875 & -0.9256 & 0.177784 \tabularnewline
56 & -0.036119 & -0.5584 & 0.288553 \tabularnewline
57 & -0.048391 & -0.7481 & 0.227564 \tabularnewline
58 & -0.045577 & -0.7046 & 0.240872 \tabularnewline
59 & -0.068913 & -1.0654 & 0.143893 \tabularnewline
60 & -0.031727 & -0.4905 & 0.312121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34791&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]0.069242[/C][C]1.0704[/C][C]0.142749[/C][/ROW]
[ROW][C]2[/C][C]0.049176[/C][C]0.7602[/C][C]0.223929[/C][/ROW]
[ROW][C]3[/C][C]0.137531[/C][C]2.1262[/C][C]0.017257[/C][/ROW]
[ROW][C]4[/C][C]0.118274[/C][C]1.8285[/C][C]0.034362[/C][/ROW]
[ROW][C]5[/C][C]0.111978[/C][C]1.7311[/C][C]0.042359[/C][/ROW]
[ROW][C]6[/C][C]0.09047[/C][C]1.3986[/C][C]0.08161[/C][/ROW]
[ROW][C]7[/C][C]0.049498[/C][C]0.7652[/C][C]0.222446[/C][/ROW]
[ROW][C]8[/C][C]0.039474[/C][C]0.6103[/C][C]0.271137[/C][/ROW]
[ROW][C]9[/C][C]0.107927[/C][C]1.6685[/C][C]0.048262[/C][/ROW]
[ROW][C]10[/C][C]-0.038917[/C][C]-0.6016[/C][C]0.273993[/C][/ROW]
[ROW][C]11[/C][C]-0.025012[/C][C]-0.3867[/C][C]0.349671[/C][/ROW]
[ROW][C]12[/C][C]-0.245314[/C][C]-3.7925[/C][C]9.4e-05[/C][/ROW]
[ROW][C]13[/C][C]0.051459[/C][C]0.7955[/C][C]0.213546[/C][/ROW]
[ROW][C]14[/C][C]0.116088[/C][C]1.7947[/C][C]0.036984[/C][/ROW]
[ROW][C]15[/C][C]-0.003485[/C][C]-0.0539[/C][C]0.478539[/C][/ROW]
[ROW][C]16[/C][C]-0.015191[/C][C]-0.2348[/C][C]0.407266[/C][/ROW]
[ROW][C]17[/C][C]-0.026685[/C][C]-0.4125[/C][C]0.340157[/C][/ROW]
[ROW][C]18[/C][C]0.098396[/C][C]1.5212[/C][C]0.064771[/C][/ROW]
[ROW][C]19[/C][C]0.000327[/C][C]0.0051[/C][C]0.497984[/C][/ROW]
[ROW][C]20[/C][C]0.094144[/C][C]1.4554[/C][C]0.073432[/C][/ROW]
[ROW][C]21[/C][C]0.085773[/C][C]1.326[/C][C]0.093049[/C][/ROW]
[ROW][C]22[/C][C]0.031442[/C][C]0.4861[/C][C]0.313678[/C][/ROW]
[ROW][C]23[/C][C]0.235241[/C][C]3.6367[/C][C]0.000169[/C][/ROW]
[ROW][C]24[/C][C]-0.025726[/C][C]-0.3977[/C][C]0.3456[/C][/ROW]
[ROW][C]25[/C][C]-0.043736[/C][C]-0.6761[/C][C]0.249803[/C][/ROW]
[ROW][C]26[/C][C]-0.017149[/C][C]-0.2651[/C][C]0.395573[/C][/ROW]
[ROW][C]27[/C][C]0.075491[/C][C]1.1671[/C][C]0.122175[/C][/ROW]
[ROW][C]28[/C][C]0.022781[/C][C]0.3522[/C][C]0.362505[/C][/ROW]
[ROW][C]29[/C][C]0.124963[/C][C]1.9319[/C][C]0.027279[/C][/ROW]
[ROW][C]30[/C][C]-0.09176[/C][C]-1.4186[/C][C]0.078662[/C][/ROW]
[ROW][C]31[/C][C]-0.033711[/C][C]-0.5212[/C][C]0.301367[/C][/ROW]
[ROW][C]32[/C][C]0.070054[/C][C]1.083[/C][C]0.139949[/C][/ROW]
[ROW][C]33[/C][C]-0.114562[/C][C]-1.7711[/C][C]0.038911[/C][/ROW]
[ROW][C]34[/C][C]-0.050255[/C][C]-0.7769[/C][C]0.218986[/C][/ROW]
[ROW][C]35[/C][C]-0.127385[/C][C]-1.9693[/C][C]0.025036[/C][/ROW]
[ROW][C]36[/C][C]-0.022155[/C][C]-0.3425[/C][C]0.366132[/C][/ROW]
[ROW][C]37[/C][C]0.048011[/C][C]0.7422[/C][C]0.229338[/C][/ROW]
[ROW][C]38[/C][C]0.03098[/C][C]0.4789[/C][C]0.316211[/C][/ROW]
[ROW][C]39[/C][C]-0.205291[/C][C]-3.1737[/C][C]0.000851[/C][/ROW]
[ROW][C]40[/C][C]-0.09565[/C][C]-1.4787[/C][C]0.070268[/C][/ROW]
[ROW][C]41[/C][C]-0.016926[/C][C]-0.2617[/C][C]0.396903[/C][/ROW]
[ROW][C]42[/C][C]-0.039781[/C][C]-0.615[/C][C]0.26957[/C][/ROW]
[ROW][C]43[/C][C]0.025496[/C][C]0.3942[/C][C]0.346905[/C][/ROW]
[ROW][C]44[/C][C]-0.136762[/C][C]-2.1143[/C][C]0.017763[/C][/ROW]
[ROW][C]45[/C][C]-0.04835[/C][C]-0.7475[/C][C]0.227758[/C][/ROW]
[ROW][C]46[/C][C]-0.010499[/C][C]-0.1623[/C][C]0.435597[/C][/ROW]
[ROW][C]47[/C][C]-0.018097[/C][C]-0.2798[/C][C]0.389945[/C][/ROW]
[ROW][C]48[/C][C]-0.084698[/C][C]-1.3094[/C][C]0.095828[/C][/ROW]
[ROW][C]49[/C][C]-0.110726[/C][C]-1.7118[/C][C]0.044116[/C][/ROW]
[ROW][C]50[/C][C]-0.0105[/C][C]-0.1623[/C][C]0.435595[/C][/ROW]
[ROW][C]51[/C][C]0.033332[/C][C]0.5153[/C][C]0.303408[/C][/ROW]
[ROW][C]52[/C][C]0.022923[/C][C]0.3544[/C][C]0.361685[/C][/ROW]
[ROW][C]53[/C][C]-0.182851[/C][C]-2.8268[/C][C]0.00255[/C][/ROW]
[ROW][C]54[/C][C]-0.021026[/C][C]-0.3251[/C][C]0.372711[/C][/ROW]
[ROW][C]55[/C][C]-0.059875[/C][C]-0.9256[/C][C]0.177784[/C][/ROW]
[ROW][C]56[/C][C]-0.036119[/C][C]-0.5584[/C][C]0.288553[/C][/ROW]
[ROW][C]57[/C][C]-0.048391[/C][C]-0.7481[/C][C]0.227564[/C][/ROW]
[ROW][C]58[/C][C]-0.045577[/C][C]-0.7046[/C][C]0.240872[/C][/ROW]
[ROW][C]59[/C][C]-0.068913[/C][C]-1.0654[/C][C]0.143893[/C][/ROW]
[ROW][C]60[/C][C]-0.031727[/C][C]-0.4905[/C][C]0.312121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34791&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34791&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
10.0692421.07040.142749
20.0491760.76020.223929
30.1375312.12620.017257
40.1182741.82850.034362
50.1119781.73110.042359
60.090471.39860.08161
70.0494980.76520.222446
80.0394740.61030.271137
90.1079271.66850.048262
10-0.038917-0.60160.273993
11-0.025012-0.38670.349671
12-0.245314-3.79259.4e-05
130.0514590.79550.213546
140.1160881.79470.036984
15-0.003485-0.05390.478539
16-0.015191-0.23480.407266
17-0.026685-0.41250.340157
180.0983961.52120.064771
190.0003270.00510.497984
200.0941441.45540.073432
210.0857731.3260.093049
220.0314420.48610.313678
230.2352413.63670.000169
24-0.025726-0.39770.3456
25-0.043736-0.67610.249803
26-0.017149-0.26510.395573
270.0754911.16710.122175
280.0227810.35220.362505
290.1249631.93190.027279
30-0.09176-1.41860.078662
31-0.033711-0.52120.301367
320.0700541.0830.139949
33-0.114562-1.77110.038911
34-0.050255-0.77690.218986
35-0.127385-1.96930.025036
36-0.022155-0.34250.366132
370.0480110.74220.229338
380.030980.47890.316211
39-0.205291-3.17370.000851
40-0.09565-1.47870.070268
41-0.016926-0.26170.396903
42-0.039781-0.6150.26957
430.0254960.39420.346905
44-0.136762-2.11430.017763
45-0.04835-0.74750.227758
46-0.010499-0.16230.435597
47-0.018097-0.27980.389945
48-0.084698-1.30940.095828
49-0.110726-1.71180.044116
50-0.0105-0.16230.435595
510.0333320.51530.303408
520.0229230.35440.361685
53-0.182851-2.82680.00255
54-0.021026-0.32510.372711
55-0.059875-0.92560.177784
56-0.036119-0.55840.288553
57-0.048391-0.74810.227564
58-0.045577-0.70460.240872
59-0.068913-1.06540.143893
60-0.031727-0.49050.312121






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0692421.07040.142749
20.0445960.68940.245611
30.1320852.0420.021125
40.1015241.56950.058925
50.0919211.42110.0783
60.0582290.90020.184461
70.0100160.15480.438536
8-0.003467-0.05360.478653
90.069181.06950.142961
10-0.08156-1.26090.104288
11-0.050848-0.78610.216295
12-0.292267-4.51835e-06
130.0642570.99340.160763
140.1360132.10270.018269
150.0714021.10380.135385
160.0330230.51050.30508
17-0.015958-0.24670.402673
180.1131971.750.040703
19-0.006075-0.09390.462628
200.0980461.51580.065452
210.0999391.5450.061832
22-0.063556-0.98260.163411
230.1817432.80970.002685
24-0.201396-3.11350.001037
25-0.049054-0.75840.224492
26-0.052093-0.80530.210713
270.017950.27750.39082
280.0171240.26470.395724
290.0980231.51540.065496
30-0.049575-0.76640.222092
31-0.028107-0.43450.332152
320.0716561.10780.134538
33-0.041313-0.63870.261819
34-0.083036-1.28370.100245
35-0.053943-0.83390.202576
36-0.138168-2.1360.016847
370.0459260.710.239198
380.0560.86570.193751
39-0.140028-2.16480.015698
40-0.055574-0.85920.195558
41-0.01728-0.26710.394793
42-0.009463-0.14630.441909
430.0477420.73810.230596
44-0.074961-1.15890.123833
45-0.029882-0.4620.322265
46-0.07614-1.17710.120165
470.0302070.4670.320469
48-0.023883-0.36920.356144
49-0.071187-1.10050.136105
500.0030850.04770.481
51-0.011594-0.17920.428948
52-0.004417-0.06830.472807
53-0.065211-1.00810.157204
540.0551870.85320.197211
55-0.050381-0.77890.218415
56-0.014461-0.22360.411647
570.0170370.26340.396243
58-0.032896-0.50860.305767
59-0.018232-0.28190.389149
60-0.006013-0.0930.46301

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.069242 & 1.0704 & 0.142749 \tabularnewline
2 & 0.044596 & 0.6894 & 0.245611 \tabularnewline
3 & 0.132085 & 2.042 & 0.021125 \tabularnewline
4 & 0.101524 & 1.5695 & 0.058925 \tabularnewline
5 & 0.091921 & 1.4211 & 0.0783 \tabularnewline
6 & 0.058229 & 0.9002 & 0.184461 \tabularnewline
7 & 0.010016 & 0.1548 & 0.438536 \tabularnewline
8 & -0.003467 & -0.0536 & 0.478653 \tabularnewline
9 & 0.06918 & 1.0695 & 0.142961 \tabularnewline
10 & -0.08156 & -1.2609 & 0.104288 \tabularnewline
11 & -0.050848 & -0.7861 & 0.216295 \tabularnewline
12 & -0.292267 & -4.5183 & 5e-06 \tabularnewline
13 & 0.064257 & 0.9934 & 0.160763 \tabularnewline
14 & 0.136013 & 2.1027 & 0.018269 \tabularnewline
15 & 0.071402 & 1.1038 & 0.135385 \tabularnewline
16 & 0.033023 & 0.5105 & 0.30508 \tabularnewline
17 & -0.015958 & -0.2467 & 0.402673 \tabularnewline
18 & 0.113197 & 1.75 & 0.040703 \tabularnewline
19 & -0.006075 & -0.0939 & 0.462628 \tabularnewline
20 & 0.098046 & 1.5158 & 0.065452 \tabularnewline
21 & 0.099939 & 1.545 & 0.061832 \tabularnewline
22 & -0.063556 & -0.9826 & 0.163411 \tabularnewline
23 & 0.181743 & 2.8097 & 0.002685 \tabularnewline
24 & -0.201396 & -3.1135 & 0.001037 \tabularnewline
25 & -0.049054 & -0.7584 & 0.224492 \tabularnewline
26 & -0.052093 & -0.8053 & 0.210713 \tabularnewline
27 & 0.01795 & 0.2775 & 0.39082 \tabularnewline
28 & 0.017124 & 0.2647 & 0.395724 \tabularnewline
29 & 0.098023 & 1.5154 & 0.065496 \tabularnewline
30 & -0.049575 & -0.7664 & 0.222092 \tabularnewline
31 & -0.028107 & -0.4345 & 0.332152 \tabularnewline
32 & 0.071656 & 1.1078 & 0.134538 \tabularnewline
33 & -0.041313 & -0.6387 & 0.261819 \tabularnewline
34 & -0.083036 & -1.2837 & 0.100245 \tabularnewline
35 & -0.053943 & -0.8339 & 0.202576 \tabularnewline
36 & -0.138168 & -2.136 & 0.016847 \tabularnewline
37 & 0.045926 & 0.71 & 0.239198 \tabularnewline
38 & 0.056 & 0.8657 & 0.193751 \tabularnewline
39 & -0.140028 & -2.1648 & 0.015698 \tabularnewline
40 & -0.055574 & -0.8592 & 0.195558 \tabularnewline
41 & -0.01728 & -0.2671 & 0.394793 \tabularnewline
42 & -0.009463 & -0.1463 & 0.441909 \tabularnewline
43 & 0.047742 & 0.7381 & 0.230596 \tabularnewline
44 & -0.074961 & -1.1589 & 0.123833 \tabularnewline
45 & -0.029882 & -0.462 & 0.322265 \tabularnewline
46 & -0.07614 & -1.1771 & 0.120165 \tabularnewline
47 & 0.030207 & 0.467 & 0.320469 \tabularnewline
48 & -0.023883 & -0.3692 & 0.356144 \tabularnewline
49 & -0.071187 & -1.1005 & 0.136105 \tabularnewline
50 & 0.003085 & 0.0477 & 0.481 \tabularnewline
51 & -0.011594 & -0.1792 & 0.428948 \tabularnewline
52 & -0.004417 & -0.0683 & 0.472807 \tabularnewline
53 & -0.065211 & -1.0081 & 0.157204 \tabularnewline
54 & 0.055187 & 0.8532 & 0.197211 \tabularnewline
55 & -0.050381 & -0.7789 & 0.218415 \tabularnewline
56 & -0.014461 & -0.2236 & 0.411647 \tabularnewline
57 & 0.017037 & 0.2634 & 0.396243 \tabularnewline
58 & -0.032896 & -0.5086 & 0.305767 \tabularnewline
59 & -0.018232 & -0.2819 & 0.389149 \tabularnewline
60 & -0.006013 & -0.093 & 0.46301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34791&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]0.069242[/C][C]1.0704[/C][C]0.142749[/C][/ROW]
[ROW][C]2[/C][C]0.044596[/C][C]0.6894[/C][C]0.245611[/C][/ROW]
[ROW][C]3[/C][C]0.132085[/C][C]2.042[/C][C]0.021125[/C][/ROW]
[ROW][C]4[/C][C]0.101524[/C][C]1.5695[/C][C]0.058925[/C][/ROW]
[ROW][C]5[/C][C]0.091921[/C][C]1.4211[/C][C]0.0783[/C][/ROW]
[ROW][C]6[/C][C]0.058229[/C][C]0.9002[/C][C]0.184461[/C][/ROW]
[ROW][C]7[/C][C]0.010016[/C][C]0.1548[/C][C]0.438536[/C][/ROW]
[ROW][C]8[/C][C]-0.003467[/C][C]-0.0536[/C][C]0.478653[/C][/ROW]
[ROW][C]9[/C][C]0.06918[/C][C]1.0695[/C][C]0.142961[/C][/ROW]
[ROW][C]10[/C][C]-0.08156[/C][C]-1.2609[/C][C]0.104288[/C][/ROW]
[ROW][C]11[/C][C]-0.050848[/C][C]-0.7861[/C][C]0.216295[/C][/ROW]
[ROW][C]12[/C][C]-0.292267[/C][C]-4.5183[/C][C]5e-06[/C][/ROW]
[ROW][C]13[/C][C]0.064257[/C][C]0.9934[/C][C]0.160763[/C][/ROW]
[ROW][C]14[/C][C]0.136013[/C][C]2.1027[/C][C]0.018269[/C][/ROW]
[ROW][C]15[/C][C]0.071402[/C][C]1.1038[/C][C]0.135385[/C][/ROW]
[ROW][C]16[/C][C]0.033023[/C][C]0.5105[/C][C]0.30508[/C][/ROW]
[ROW][C]17[/C][C]-0.015958[/C][C]-0.2467[/C][C]0.402673[/C][/ROW]
[ROW][C]18[/C][C]0.113197[/C][C]1.75[/C][C]0.040703[/C][/ROW]
[ROW][C]19[/C][C]-0.006075[/C][C]-0.0939[/C][C]0.462628[/C][/ROW]
[ROW][C]20[/C][C]0.098046[/C][C]1.5158[/C][C]0.065452[/C][/ROW]
[ROW][C]21[/C][C]0.099939[/C][C]1.545[/C][C]0.061832[/C][/ROW]
[ROW][C]22[/C][C]-0.063556[/C][C]-0.9826[/C][C]0.163411[/C][/ROW]
[ROW][C]23[/C][C]0.181743[/C][C]2.8097[/C][C]0.002685[/C][/ROW]
[ROW][C]24[/C][C]-0.201396[/C][C]-3.1135[/C][C]0.001037[/C][/ROW]
[ROW][C]25[/C][C]-0.049054[/C][C]-0.7584[/C][C]0.224492[/C][/ROW]
[ROW][C]26[/C][C]-0.052093[/C][C]-0.8053[/C][C]0.210713[/C][/ROW]
[ROW][C]27[/C][C]0.01795[/C][C]0.2775[/C][C]0.39082[/C][/ROW]
[ROW][C]28[/C][C]0.017124[/C][C]0.2647[/C][C]0.395724[/C][/ROW]
[ROW][C]29[/C][C]0.098023[/C][C]1.5154[/C][C]0.065496[/C][/ROW]
[ROW][C]30[/C][C]-0.049575[/C][C]-0.7664[/C][C]0.222092[/C][/ROW]
[ROW][C]31[/C][C]-0.028107[/C][C]-0.4345[/C][C]0.332152[/C][/ROW]
[ROW][C]32[/C][C]0.071656[/C][C]1.1078[/C][C]0.134538[/C][/ROW]
[ROW][C]33[/C][C]-0.041313[/C][C]-0.6387[/C][C]0.261819[/C][/ROW]
[ROW][C]34[/C][C]-0.083036[/C][C]-1.2837[/C][C]0.100245[/C][/ROW]
[ROW][C]35[/C][C]-0.053943[/C][C]-0.8339[/C][C]0.202576[/C][/ROW]
[ROW][C]36[/C][C]-0.138168[/C][C]-2.136[/C][C]0.016847[/C][/ROW]
[ROW][C]37[/C][C]0.045926[/C][C]0.71[/C][C]0.239198[/C][/ROW]
[ROW][C]38[/C][C]0.056[/C][C]0.8657[/C][C]0.193751[/C][/ROW]
[ROW][C]39[/C][C]-0.140028[/C][C]-2.1648[/C][C]0.015698[/C][/ROW]
[ROW][C]40[/C][C]-0.055574[/C][C]-0.8592[/C][C]0.195558[/C][/ROW]
[ROW][C]41[/C][C]-0.01728[/C][C]-0.2671[/C][C]0.394793[/C][/ROW]
[ROW][C]42[/C][C]-0.009463[/C][C]-0.1463[/C][C]0.441909[/C][/ROW]
[ROW][C]43[/C][C]0.047742[/C][C]0.7381[/C][C]0.230596[/C][/ROW]
[ROW][C]44[/C][C]-0.074961[/C][C]-1.1589[/C][C]0.123833[/C][/ROW]
[ROW][C]45[/C][C]-0.029882[/C][C]-0.462[/C][C]0.322265[/C][/ROW]
[ROW][C]46[/C][C]-0.07614[/C][C]-1.1771[/C][C]0.120165[/C][/ROW]
[ROW][C]47[/C][C]0.030207[/C][C]0.467[/C][C]0.320469[/C][/ROW]
[ROW][C]48[/C][C]-0.023883[/C][C]-0.3692[/C][C]0.356144[/C][/ROW]
[ROW][C]49[/C][C]-0.071187[/C][C]-1.1005[/C][C]0.136105[/C][/ROW]
[ROW][C]50[/C][C]0.003085[/C][C]0.0477[/C][C]0.481[/C][/ROW]
[ROW][C]51[/C][C]-0.011594[/C][C]-0.1792[/C][C]0.428948[/C][/ROW]
[ROW][C]52[/C][C]-0.004417[/C][C]-0.0683[/C][C]0.472807[/C][/ROW]
[ROW][C]53[/C][C]-0.065211[/C][C]-1.0081[/C][C]0.157204[/C][/ROW]
[ROW][C]54[/C][C]0.055187[/C][C]0.8532[/C][C]0.197211[/C][/ROW]
[ROW][C]55[/C][C]-0.050381[/C][C]-0.7789[/C][C]0.218415[/C][/ROW]
[ROW][C]56[/C][C]-0.014461[/C][C]-0.2236[/C][C]0.411647[/C][/ROW]
[ROW][C]57[/C][C]0.017037[/C][C]0.2634[/C][C]0.396243[/C][/ROW]
[ROW][C]58[/C][C]-0.032896[/C][C]-0.5086[/C][C]0.305767[/C][/ROW]
[ROW][C]59[/C][C]-0.018232[/C][C]-0.2819[/C][C]0.389149[/C][/ROW]
[ROW][C]60[/C][C]-0.006013[/C][C]-0.093[/C][C]0.46301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34791&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34791&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
10.0692421.07040.142749
20.0445960.68940.245611
30.1320852.0420.021125
40.1015241.56950.058925
50.0919211.42110.0783
60.0582290.90020.184461
70.0100160.15480.438536
8-0.003467-0.05360.478653
90.069181.06950.142961
10-0.08156-1.26090.104288
11-0.050848-0.78610.216295
12-0.292267-4.51835e-06
130.0642570.99340.160763
140.1360132.10270.018269
150.0714021.10380.135385
160.0330230.51050.30508
17-0.015958-0.24670.402673
180.1131971.750.040703
19-0.006075-0.09390.462628
200.0980461.51580.065452
210.0999391.5450.061832
22-0.063556-0.98260.163411
230.1817432.80970.002685
24-0.201396-3.11350.001037
25-0.049054-0.75840.224492
26-0.052093-0.80530.210713
270.017950.27750.39082
280.0171240.26470.395724
290.0980231.51540.065496
30-0.049575-0.76640.222092
31-0.028107-0.43450.332152
320.0716561.10780.134538
33-0.041313-0.63870.261819
34-0.083036-1.28370.100245
35-0.053943-0.83390.202576
36-0.138168-2.1360.016847
370.0459260.710.239198
380.0560.86570.193751
39-0.140028-2.16480.015698
40-0.055574-0.85920.195558
41-0.01728-0.26710.394793
42-0.009463-0.14630.441909
430.0477420.73810.230596
44-0.074961-1.15890.123833
45-0.029882-0.4620.322265
46-0.07614-1.17710.120165
470.0302070.4670.320469
48-0.023883-0.36920.356144
49-0.071187-1.10050.136105
500.0030850.04770.481
51-0.011594-0.17920.428948
52-0.004417-0.06830.472807
53-0.065211-1.00810.157204
540.0551870.85320.197211
55-0.050381-0.77890.218415
56-0.014461-0.22360.411647
570.0170370.26340.396243
58-0.032896-0.50860.305767
59-0.018232-0.28190.389149
60-0.006013-0.0930.46301


Figures (Output of Computation)

Input Parameters & R Code

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