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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 18 Dec 2008 07:00:03 -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/t1229608870ujr98lzysy4d3tg.htm/, Retrieved Sat, 11 May 2024 11:15:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34778, Retrieved Sat, 11 May 2024 11:15:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper auto D,d 0,0 werk 20
Estimated Impact202

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]
-       [(Partial) Autocorrelation Function] [paper autocorr D,...] [2008-12-16 18:55:35] [cffae85c0a86f346d9df0bc892725b8f]
-    D      [(Partial) Autocorrelation Function] [paper auto D,d 0,...] [2008-12-18 14:00:03] [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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34778&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34778&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34778&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.95896715.22310
20.8924914.16780
30.84193613.36530
40.81607412.95480
50.8107112.86960
60.80448212.77080
70.78710712.49490
80.76795712.19090
90.76759512.18520
100.79047312.54840
110.82858913.15340
120.84209613.36790
130.78203712.41450
140.69738111.07060
150.6282199.97270
160.5850769.28780
170.5631658.940
180.5414778.59570
190.5102098.09930
200.4773837.57820
210.4622087.33730
220.4691017.44680
230.4911167.79620
240.4897817.7750
250.4201576.66980
260.3277695.20320
270.2514363.99144.3e-05
280.2018953.2050.000762
290.1740312.76270.003078
300.1470232.33390.010193
310.1118581.77570.038496
320.0755451.19920.115781
330.0570430.90550.183023
340.0602020.95570.170075
350.0789661.25350.105585
360.0771411.22460.110938
370.011560.18350.427274
38-0.075165-1.19320.116955
39-0.145727-2.31330.010755
40-0.188718-2.99580.001505
41-0.20925-3.32170.000514
42-0.227292-3.60820.000186
43-0.253223-4.01983.8e-05
44-0.280474-4.45246e-06
45-0.290173-4.60633e-06
46-0.278809-4.4267e-06
47-0.25163-3.99454.3e-05
48-0.243237-3.86137.2e-05
49-0.294514-4.67532e-06
50-0.365769-5.80640
51-0.420789-6.67980
52-0.449522-7.13590
53-0.456073-7.23990
54-0.458606-7.28010
55-0.468324-7.43440
56-0.478802-7.60070
57-0.473488-7.51640
58-0.449116-7.12950
59-0.409789-6.50520
60-0.388209-6.16260

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958967 & 15.2231 & 0 \tabularnewline
2 & 0.89249 & 14.1678 & 0 \tabularnewline
3 & 0.841936 & 13.3653 & 0 \tabularnewline
4 & 0.816074 & 12.9548 & 0 \tabularnewline
5 & 0.81071 & 12.8696 & 0 \tabularnewline
6 & 0.804482 & 12.7708 & 0 \tabularnewline
7 & 0.787107 & 12.4949 & 0 \tabularnewline
8 & 0.767957 & 12.1909 & 0 \tabularnewline
9 & 0.767595 & 12.1852 & 0 \tabularnewline
10 & 0.790473 & 12.5484 & 0 \tabularnewline
11 & 0.828589 & 13.1534 & 0 \tabularnewline
12 & 0.842096 & 13.3679 & 0 \tabularnewline
13 & 0.782037 & 12.4145 & 0 \tabularnewline
14 & 0.697381 & 11.0706 & 0 \tabularnewline
15 & 0.628219 & 9.9727 & 0 \tabularnewline
16 & 0.585076 & 9.2878 & 0 \tabularnewline
17 & 0.563165 & 8.94 & 0 \tabularnewline
18 & 0.541477 & 8.5957 & 0 \tabularnewline
19 & 0.510209 & 8.0993 & 0 \tabularnewline
20 & 0.477383 & 7.5782 & 0 \tabularnewline
21 & 0.462208 & 7.3373 & 0 \tabularnewline
22 & 0.469101 & 7.4468 & 0 \tabularnewline
23 & 0.491116 & 7.7962 & 0 \tabularnewline
24 & 0.489781 & 7.775 & 0 \tabularnewline
25 & 0.420157 & 6.6698 & 0 \tabularnewline
26 & 0.327769 & 5.2032 & 0 \tabularnewline
27 & 0.251436 & 3.9914 & 4.3e-05 \tabularnewline
28 & 0.201895 & 3.205 & 0.000762 \tabularnewline
29 & 0.174031 & 2.7627 & 0.003078 \tabularnewline
30 & 0.147023 & 2.3339 & 0.010193 \tabularnewline
31 & 0.111858 & 1.7757 & 0.038496 \tabularnewline
32 & 0.075545 & 1.1992 & 0.115781 \tabularnewline
33 & 0.057043 & 0.9055 & 0.183023 \tabularnewline
34 & 0.060202 & 0.9557 & 0.170075 \tabularnewline
35 & 0.078966 & 1.2535 & 0.105585 \tabularnewline
36 & 0.077141 & 1.2246 & 0.110938 \tabularnewline
37 & 0.01156 & 0.1835 & 0.427274 \tabularnewline
38 & -0.075165 & -1.1932 & 0.116955 \tabularnewline
39 & -0.145727 & -2.3133 & 0.010755 \tabularnewline
40 & -0.188718 & -2.9958 & 0.001505 \tabularnewline
41 & -0.20925 & -3.3217 & 0.000514 \tabularnewline
42 & -0.227292 & -3.6082 & 0.000186 \tabularnewline
43 & -0.253223 & -4.0198 & 3.8e-05 \tabularnewline
44 & -0.280474 & -4.4524 & 6e-06 \tabularnewline
45 & -0.290173 & -4.6063 & 3e-06 \tabularnewline
46 & -0.278809 & -4.426 & 7e-06 \tabularnewline
47 & -0.25163 & -3.9945 & 4.3e-05 \tabularnewline
48 & -0.243237 & -3.8613 & 7.2e-05 \tabularnewline
49 & -0.294514 & -4.6753 & 2e-06 \tabularnewline
50 & -0.365769 & -5.8064 & 0 \tabularnewline
51 & -0.420789 & -6.6798 & 0 \tabularnewline
52 & -0.449522 & -7.1359 & 0 \tabularnewline
53 & -0.456073 & -7.2399 & 0 \tabularnewline
54 & -0.458606 & -7.2801 & 0 \tabularnewline
55 & -0.468324 & -7.4344 & 0 \tabularnewline
56 & -0.478802 & -7.6007 & 0 \tabularnewline
57 & -0.473488 & -7.5164 & 0 \tabularnewline
58 & -0.449116 & -7.1295 & 0 \tabularnewline
59 & -0.409789 & -6.5052 & 0 \tabularnewline
60 & -0.388209 & -6.1626 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34778&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]0.958967[/C][C]15.2231[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.89249[/C][C]14.1678[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.841936[/C][C]13.3653[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.816074[/C][C]12.9548[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.81071[/C][C]12.8696[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.804482[/C][C]12.7708[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.787107[/C][C]12.4949[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.767957[/C][C]12.1909[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.767595[/C][C]12.1852[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.790473[/C][C]12.5484[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.828589[/C][C]13.1534[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.842096[/C][C]13.3679[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.782037[/C][C]12.4145[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.697381[/C][C]11.0706[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.628219[/C][C]9.9727[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.585076[/C][C]9.2878[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.563165[/C][C]8.94[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.541477[/C][C]8.5957[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.510209[/C][C]8.0993[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.477383[/C][C]7.5782[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.462208[/C][C]7.3373[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.469101[/C][C]7.4468[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.491116[/C][C]7.7962[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.489781[/C][C]7.775[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.420157[/C][C]6.6698[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.327769[/C][C]5.2032[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.251436[/C][C]3.9914[/C][C]4.3e-05[/C][/ROW]
[ROW][C]28[/C][C]0.201895[/C][C]3.205[/C][C]0.000762[/C][/ROW]
[ROW][C]29[/C][C]0.174031[/C][C]2.7627[/C][C]0.003078[/C][/ROW]
[ROW][C]30[/C][C]0.147023[/C][C]2.3339[/C][C]0.010193[/C][/ROW]
[ROW][C]31[/C][C]0.111858[/C][C]1.7757[/C][C]0.038496[/C][/ROW]
[ROW][C]32[/C][C]0.075545[/C][C]1.1992[/C][C]0.115781[/C][/ROW]
[ROW][C]33[/C][C]0.057043[/C][C]0.9055[/C][C]0.183023[/C][/ROW]
[ROW][C]34[/C][C]0.060202[/C][C]0.9557[/C][C]0.170075[/C][/ROW]
[ROW][C]35[/C][C]0.078966[/C][C]1.2535[/C][C]0.105585[/C][/ROW]
[ROW][C]36[/C][C]0.077141[/C][C]1.2246[/C][C]0.110938[/C][/ROW]
[ROW][C]37[/C][C]0.01156[/C][C]0.1835[/C][C]0.427274[/C][/ROW]
[ROW][C]38[/C][C]-0.075165[/C][C]-1.1932[/C][C]0.116955[/C][/ROW]
[ROW][C]39[/C][C]-0.145727[/C][C]-2.3133[/C][C]0.010755[/C][/ROW]
[ROW][C]40[/C][C]-0.188718[/C][C]-2.9958[/C][C]0.001505[/C][/ROW]
[ROW][C]41[/C][C]-0.20925[/C][C]-3.3217[/C][C]0.000514[/C][/ROW]
[ROW][C]42[/C][C]-0.227292[/C][C]-3.6082[/C][C]0.000186[/C][/ROW]
[ROW][C]43[/C][C]-0.253223[/C][C]-4.0198[/C][C]3.8e-05[/C][/ROW]
[ROW][C]44[/C][C]-0.280474[/C][C]-4.4524[/C][C]6e-06[/C][/ROW]
[ROW][C]45[/C][C]-0.290173[/C][C]-4.6063[/C][C]3e-06[/C][/ROW]
[ROW][C]46[/C][C]-0.278809[/C][C]-4.426[/C][C]7e-06[/C][/ROW]
[ROW][C]47[/C][C]-0.25163[/C][C]-3.9945[/C][C]4.3e-05[/C][/ROW]
[ROW][C]48[/C][C]-0.243237[/C][C]-3.8613[/C][C]7.2e-05[/C][/ROW]
[ROW][C]49[/C][C]-0.294514[/C][C]-4.6753[/C][C]2e-06[/C][/ROW]
[ROW][C]50[/C][C]-0.365769[/C][C]-5.8064[/C][C]0[/C][/ROW]
[ROW][C]51[/C][C]-0.420789[/C][C]-6.6798[/C][C]0[/C][/ROW]
[ROW][C]52[/C][C]-0.449522[/C][C]-7.1359[/C][C]0[/C][/ROW]
[ROW][C]53[/C][C]-0.456073[/C][C]-7.2399[/C][C]0[/C][/ROW]
[ROW][C]54[/C][C]-0.458606[/C][C]-7.2801[/C][C]0[/C][/ROW]
[ROW][C]55[/C][C]-0.468324[/C][C]-7.4344[/C][C]0[/C][/ROW]
[ROW][C]56[/C][C]-0.478802[/C][C]-7.6007[/C][C]0[/C][/ROW]
[ROW][C]57[/C][C]-0.473488[/C][C]-7.5164[/C][C]0[/C][/ROW]
[ROW][C]58[/C][C]-0.449116[/C][C]-7.1295[/C][C]0[/C][/ROW]
[ROW][C]59[/C][C]-0.409789[/C][C]-6.5052[/C][C]0[/C][/ROW]
[ROW][C]60[/C][C]-0.388209[/C][C]-6.1626[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34778&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34778&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
10.95896715.22310
20.8924914.16780
30.84193613.36530
40.81607412.95480
50.8107112.86960
60.80448212.77080
70.78710712.49490
80.76795712.19090
90.76759512.18520
100.79047312.54840
110.82858913.15340
120.84209613.36790
130.78203712.41450
140.69738111.07060
150.6282199.97270
160.5850769.28780
170.5631658.940
180.5414778.59570
190.5102098.09930
200.4773837.57820
210.4622087.33730
220.4691017.44680
230.4911167.79620
240.4897817.7750
250.4201576.66980
260.3277695.20320
270.2514363.99144.3e-05
280.2018953.2050.000762
290.1740312.76270.003078
300.1470232.33390.010193
310.1118581.77570.038496
320.0755451.19920.115781
330.0570430.90550.183023
340.0602020.95570.170075
350.0789661.25350.105585
360.0771411.22460.110938
370.011560.18350.427274
38-0.075165-1.19320.116955
39-0.145727-2.31330.010755
40-0.188718-2.99580.001505
41-0.20925-3.32170.000514
42-0.227292-3.60820.000186
43-0.253223-4.01983.8e-05
44-0.280474-4.45246e-06
45-0.290173-4.60633e-06
46-0.278809-4.4267e-06
47-0.25163-3.99454.3e-05
48-0.243237-3.86137.2e-05
49-0.294514-4.67532e-06
50-0.365769-5.80640
51-0.420789-6.67980
52-0.449522-7.13590
53-0.456073-7.23990
54-0.458606-7.28010
55-0.468324-7.43440
56-0.478802-7.60070
57-0.473488-7.51640
58-0.449116-7.12950
59-0.409789-6.50520
60-0.388209-6.16260






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95896715.22310
2-0.337481-5.35730
30.2928974.64963e-06
40.1318262.09270.018689
50.1694222.68950.003817
6-0.06676-1.05980.145129
70.0130720.20750.417891
80.0961741.52670.064043
90.2629294.17392.1e-05
100.1802422.86130.002287
110.2430633.85857.2e-05
12-0.276914-4.39598e-06
13-0.832618-13.21740
140.0222290.35290.362241
15-0.0872-1.38430.083752
16-0.017281-0.27430.392032
17-0.080745-1.28180.100547
18-0.01541-0.24460.403475
190.0535740.85050.197936
200.0177560.28190.389136
210.0084550.13420.44667
22-0.015702-0.24930.401683
230.032810.52080.301467
24-0.015991-0.25380.39991
25-0.169705-2.6940.003767
260.0475520.75490.22552
27-0.002833-0.0450.482082
28-0.040942-0.64990.258165
29-0.049172-0.78060.217891
30-0.046457-0.73750.230758
310.0150660.23920.405588
32-0.01909-0.3030.381051
330.0594110.94310.17326
340.0104440.16580.434227
350.0641271.0180.154832
360.1078521.71210.044054
37-0.056725-0.90050.184361
380.0514120.81610.207596
39-0.020047-0.31820.375282
400.0181520.28820.386734
410.0129970.20630.418351
420.053980.85690.196155
43-0.054668-0.86780.193156
44-0.003656-0.0580.476885
450.020060.31840.375207
460.0060720.09640.461647
470.0031060.04930.480357
480.0073170.11620.45381
49-0.004547-0.07220.471258
500.0291330.46250.32207
510.0345940.54920.291691
52-0.104497-1.65880.049196
53-0.003619-0.05740.477118
540.0430440.68330.247521
550.0117580.18660.426045
560.0475770.75530.225399
57-0.07205-1.14380.126906
58-0.025895-0.41110.340684
59-0.035351-0.56120.287586
60-0.018233-0.28940.386243

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.958967 & 15.2231 & 0 \tabularnewline
2 & -0.337481 & -5.3573 & 0 \tabularnewline
3 & 0.292897 & 4.6496 & 3e-06 \tabularnewline
4 & 0.131826 & 2.0927 & 0.018689 \tabularnewline
5 & 0.169422 & 2.6895 & 0.003817 \tabularnewline
6 & -0.06676 & -1.0598 & 0.145129 \tabularnewline
7 & 0.013072 & 0.2075 & 0.417891 \tabularnewline
8 & 0.096174 & 1.5267 & 0.064043 \tabularnewline
9 & 0.262929 & 4.1739 & 2.1e-05 \tabularnewline
10 & 0.180242 & 2.8613 & 0.002287 \tabularnewline
11 & 0.243063 & 3.8585 & 7.2e-05 \tabularnewline
12 & -0.276914 & -4.3959 & 8e-06 \tabularnewline
13 & -0.832618 & -13.2174 & 0 \tabularnewline
14 & 0.022229 & 0.3529 & 0.362241 \tabularnewline
15 & -0.0872 & -1.3843 & 0.083752 \tabularnewline
16 & -0.017281 & -0.2743 & 0.392032 \tabularnewline
17 & -0.080745 & -1.2818 & 0.100547 \tabularnewline
18 & -0.01541 & -0.2446 & 0.403475 \tabularnewline
19 & 0.053574 & 0.8505 & 0.197936 \tabularnewline
20 & 0.017756 & 0.2819 & 0.389136 \tabularnewline
21 & 0.008455 & 0.1342 & 0.44667 \tabularnewline
22 & -0.015702 & -0.2493 & 0.401683 \tabularnewline
23 & 0.03281 & 0.5208 & 0.301467 \tabularnewline
24 & -0.015991 & -0.2538 & 0.39991 \tabularnewline
25 & -0.169705 & -2.694 & 0.003767 \tabularnewline
26 & 0.047552 & 0.7549 & 0.22552 \tabularnewline
27 & -0.002833 & -0.045 & 0.482082 \tabularnewline
28 & -0.040942 & -0.6499 & 0.258165 \tabularnewline
29 & -0.049172 & -0.7806 & 0.217891 \tabularnewline
30 & -0.046457 & -0.7375 & 0.230758 \tabularnewline
31 & 0.015066 & 0.2392 & 0.405588 \tabularnewline
32 & -0.01909 & -0.303 & 0.381051 \tabularnewline
33 & 0.059411 & 0.9431 & 0.17326 \tabularnewline
34 & 0.010444 & 0.1658 & 0.434227 \tabularnewline
35 & 0.064127 & 1.018 & 0.154832 \tabularnewline
36 & 0.107852 & 1.7121 & 0.044054 \tabularnewline
37 & -0.056725 & -0.9005 & 0.184361 \tabularnewline
38 & 0.051412 & 0.8161 & 0.207596 \tabularnewline
39 & -0.020047 & -0.3182 & 0.375282 \tabularnewline
40 & 0.018152 & 0.2882 & 0.386734 \tabularnewline
41 & 0.012997 & 0.2063 & 0.418351 \tabularnewline
42 & 0.05398 & 0.8569 & 0.196155 \tabularnewline
43 & -0.054668 & -0.8678 & 0.193156 \tabularnewline
44 & -0.003656 & -0.058 & 0.476885 \tabularnewline
45 & 0.02006 & 0.3184 & 0.375207 \tabularnewline
46 & 0.006072 & 0.0964 & 0.461647 \tabularnewline
47 & 0.003106 & 0.0493 & 0.480357 \tabularnewline
48 & 0.007317 & 0.1162 & 0.45381 \tabularnewline
49 & -0.004547 & -0.0722 & 0.471258 \tabularnewline
50 & 0.029133 & 0.4625 & 0.32207 \tabularnewline
51 & 0.034594 & 0.5492 & 0.291691 \tabularnewline
52 & -0.104497 & -1.6588 & 0.049196 \tabularnewline
53 & -0.003619 & -0.0574 & 0.477118 \tabularnewline
54 & 0.043044 & 0.6833 & 0.247521 \tabularnewline
55 & 0.011758 & 0.1866 & 0.426045 \tabularnewline
56 & 0.047577 & 0.7553 & 0.225399 \tabularnewline
57 & -0.07205 & -1.1438 & 0.126906 \tabularnewline
58 & -0.025895 & -0.4111 & 0.340684 \tabularnewline
59 & -0.035351 & -0.5612 & 0.287586 \tabularnewline
60 & -0.018233 & -0.2894 & 0.386243 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34778&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]0.958967[/C][C]15.2231[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.337481[/C][C]-5.3573[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.292897[/C][C]4.6496[/C][C]3e-06[/C][/ROW]
[ROW][C]4[/C][C]0.131826[/C][C]2.0927[/C][C]0.018689[/C][/ROW]
[ROW][C]5[/C][C]0.169422[/C][C]2.6895[/C][C]0.003817[/C][/ROW]
[ROW][C]6[/C][C]-0.06676[/C][C]-1.0598[/C][C]0.145129[/C][/ROW]
[ROW][C]7[/C][C]0.013072[/C][C]0.2075[/C][C]0.417891[/C][/ROW]
[ROW][C]8[/C][C]0.096174[/C][C]1.5267[/C][C]0.064043[/C][/ROW]
[ROW][C]9[/C][C]0.262929[/C][C]4.1739[/C][C]2.1e-05[/C][/ROW]
[ROW][C]10[/C][C]0.180242[/C][C]2.8613[/C][C]0.002287[/C][/ROW]
[ROW][C]11[/C][C]0.243063[/C][C]3.8585[/C][C]7.2e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.276914[/C][C]-4.3959[/C][C]8e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.832618[/C][C]-13.2174[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.022229[/C][C]0.3529[/C][C]0.362241[/C][/ROW]
[ROW][C]15[/C][C]-0.0872[/C][C]-1.3843[/C][C]0.083752[/C][/ROW]
[ROW][C]16[/C][C]-0.017281[/C][C]-0.2743[/C][C]0.392032[/C][/ROW]
[ROW][C]17[/C][C]-0.080745[/C][C]-1.2818[/C][C]0.100547[/C][/ROW]
[ROW][C]18[/C][C]-0.01541[/C][C]-0.2446[/C][C]0.403475[/C][/ROW]
[ROW][C]19[/C][C]0.053574[/C][C]0.8505[/C][C]0.197936[/C][/ROW]
[ROW][C]20[/C][C]0.017756[/C][C]0.2819[/C][C]0.389136[/C][/ROW]
[ROW][C]21[/C][C]0.008455[/C][C]0.1342[/C][C]0.44667[/C][/ROW]
[ROW][C]22[/C][C]-0.015702[/C][C]-0.2493[/C][C]0.401683[/C][/ROW]
[ROW][C]23[/C][C]0.03281[/C][C]0.5208[/C][C]0.301467[/C][/ROW]
[ROW][C]24[/C][C]-0.015991[/C][C]-0.2538[/C][C]0.39991[/C][/ROW]
[ROW][C]25[/C][C]-0.169705[/C][C]-2.694[/C][C]0.003767[/C][/ROW]
[ROW][C]26[/C][C]0.047552[/C][C]0.7549[/C][C]0.22552[/C][/ROW]
[ROW][C]27[/C][C]-0.002833[/C][C]-0.045[/C][C]0.482082[/C][/ROW]
[ROW][C]28[/C][C]-0.040942[/C][C]-0.6499[/C][C]0.258165[/C][/ROW]
[ROW][C]29[/C][C]-0.049172[/C][C]-0.7806[/C][C]0.217891[/C][/ROW]
[ROW][C]30[/C][C]-0.046457[/C][C]-0.7375[/C][C]0.230758[/C][/ROW]
[ROW][C]31[/C][C]0.015066[/C][C]0.2392[/C][C]0.405588[/C][/ROW]
[ROW][C]32[/C][C]-0.01909[/C][C]-0.303[/C][C]0.381051[/C][/ROW]
[ROW][C]33[/C][C]0.059411[/C][C]0.9431[/C][C]0.17326[/C][/ROW]
[ROW][C]34[/C][C]0.010444[/C][C]0.1658[/C][C]0.434227[/C][/ROW]
[ROW][C]35[/C][C]0.064127[/C][C]1.018[/C][C]0.154832[/C][/ROW]
[ROW][C]36[/C][C]0.107852[/C][C]1.7121[/C][C]0.044054[/C][/ROW]
[ROW][C]37[/C][C]-0.056725[/C][C]-0.9005[/C][C]0.184361[/C][/ROW]
[ROW][C]38[/C][C]0.051412[/C][C]0.8161[/C][C]0.207596[/C][/ROW]
[ROW][C]39[/C][C]-0.020047[/C][C]-0.3182[/C][C]0.375282[/C][/ROW]
[ROW][C]40[/C][C]0.018152[/C][C]0.2882[/C][C]0.386734[/C][/ROW]
[ROW][C]41[/C][C]0.012997[/C][C]0.2063[/C][C]0.418351[/C][/ROW]
[ROW][C]42[/C][C]0.05398[/C][C]0.8569[/C][C]0.196155[/C][/ROW]
[ROW][C]43[/C][C]-0.054668[/C][C]-0.8678[/C][C]0.193156[/C][/ROW]
[ROW][C]44[/C][C]-0.003656[/C][C]-0.058[/C][C]0.476885[/C][/ROW]
[ROW][C]45[/C][C]0.02006[/C][C]0.3184[/C][C]0.375207[/C][/ROW]
[ROW][C]46[/C][C]0.006072[/C][C]0.0964[/C][C]0.461647[/C][/ROW]
[ROW][C]47[/C][C]0.003106[/C][C]0.0493[/C][C]0.480357[/C][/ROW]
[ROW][C]48[/C][C]0.007317[/C][C]0.1162[/C][C]0.45381[/C][/ROW]
[ROW][C]49[/C][C]-0.004547[/C][C]-0.0722[/C][C]0.471258[/C][/ROW]
[ROW][C]50[/C][C]0.029133[/C][C]0.4625[/C][C]0.32207[/C][/ROW]
[ROW][C]51[/C][C]0.034594[/C][C]0.5492[/C][C]0.291691[/C][/ROW]
[ROW][C]52[/C][C]-0.104497[/C][C]-1.6588[/C][C]0.049196[/C][/ROW]
[ROW][C]53[/C][C]-0.003619[/C][C]-0.0574[/C][C]0.477118[/C][/ROW]
[ROW][C]54[/C][C]0.043044[/C][C]0.6833[/C][C]0.247521[/C][/ROW]
[ROW][C]55[/C][C]0.011758[/C][C]0.1866[/C][C]0.426045[/C][/ROW]
[ROW][C]56[/C][C]0.047577[/C][C]0.7553[/C][C]0.225399[/C][/ROW]
[ROW][C]57[/C][C]-0.07205[/C][C]-1.1438[/C][C]0.126906[/C][/ROW]
[ROW][C]58[/C][C]-0.025895[/C][C]-0.4111[/C][C]0.340684[/C][/ROW]
[ROW][C]59[/C][C]-0.035351[/C][C]-0.5612[/C][C]0.287586[/C][/ROW]
[ROW][C]60[/C][C]-0.018233[/C][C]-0.2894[/C][C]0.386243[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34778&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34778&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
10.95896715.22310
2-0.337481-5.35730
30.2928974.64963e-06
40.1318262.09270.018689
50.1694222.68950.003817
6-0.06676-1.05980.145129
70.0130720.20750.417891
80.0961741.52670.064043
90.2629294.17392.1e-05
100.1802422.86130.002287
110.2430633.85857.2e-05
12-0.276914-4.39598e-06
13-0.832618-13.21740
140.0222290.35290.362241
15-0.0872-1.38430.083752
16-0.017281-0.27430.392032
17-0.080745-1.28180.100547
18-0.01541-0.24460.403475
190.0535740.85050.197936
200.0177560.28190.389136
210.0084550.13420.44667
22-0.015702-0.24930.401683
230.032810.52080.301467
24-0.015991-0.25380.39991
25-0.169705-2.6940.003767
260.0475520.75490.22552
27-0.002833-0.0450.482082
28-0.040942-0.64990.258165
29-0.049172-0.78060.217891
30-0.046457-0.73750.230758
310.0150660.23920.405588
32-0.01909-0.3030.381051
330.0594110.94310.17326
340.0104440.16580.434227
350.0641271.0180.154832
360.1078521.71210.044054
37-0.056725-0.90050.184361
380.0514120.81610.207596
39-0.020047-0.31820.375282
400.0181520.28820.386734
410.0129970.20630.418351
420.053980.85690.196155
43-0.054668-0.86780.193156
44-0.003656-0.0580.476885
450.020060.31840.375207
460.0060720.09640.461647
470.0031060.04930.480357
480.0073170.11620.45381
49-0.004547-0.07220.471258
500.0291330.46250.32207
510.0345940.54920.291691
52-0.104497-1.65880.049196
53-0.003619-0.05740.477118
540.0430440.68330.247521
550.0117580.18660.426045
560.0475770.75530.225399
57-0.07205-1.14380.126906
58-0.025895-0.41110.340684
59-0.035351-0.56120.287586
60-0.018233-0.28940.386243


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')