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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 07:09:39 -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/t12296095046ddjy0gf7c5uek5.htm/, Retrieved Sun, 12 May 2024 10:24:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34785, Retrieved Sun, 12 May 2024 10:24:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper auto D,d 0,1 werk 20
Estimated Impact198

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]
-    D    [(Partial) Autocorrelation Function] [paper autocor D,d...] [2008-12-16 19:08:07] [cffae85c0a86f346d9df0bc892725b8f]
-    D        [(Partial) Autocorrelation Function] [paper auto D,d 0,...] [2008-12-18 14:09:39] [d8c5724db236abb5950452133b88474d] [Current]
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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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34785&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34785&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34785&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3136064.96851e-06
2-0.19168-3.03680.001322
3-0.298798-4.73392e-06
4-0.247308-3.91815.8e-05
50.0106380.16850.433146
60.1262922.00080.023243
70.0219030.3470.364436
8-0.228299-3.61690.00018
9-0.282702-4.47886e-06
10-0.18357-2.90830.00198
110.3014214.77542e-06
120.89855614.23580
130.3033514.8061e-06
14-0.185406-2.93740.001809
15-0.31373-4.97041e-06
16-0.256955-4.07093.1e-05
17-0.002076-0.03290.486896
180.1073261.70040.045151
190.018410.29170.385392
20-0.213862-3.38820.000408
21-0.26764-4.24021.6e-05
22-0.182734-2.8950.002062
230.2854914.5235e-06
240.83490713.22740
250.280024.43637e-06
26-0.193852-3.07120.001183
27-0.323178-5.12010
28-0.262896-4.16512.1e-05
29-0.010018-0.15870.43701
300.0902691.43010.076961
310.0120620.19110.424302
32-0.214963-3.40570.000384
33-0.262629-4.16082.2e-05
34-0.189157-2.99680.001501
350.2516013.98614.4e-05
360.77918512.34460
370.2601654.12182.6e-05
38-0.194448-3.08060.001148
39-0.334678-5.30230
40-0.272887-4.32331.1e-05
41-0.031132-0.49320.311143
420.0863291.36770.086313
430.0145030.22980.40923
44-0.213287-3.37910.000422
45-0.256044-4.05653.3e-05
46-0.192105-3.04350.001293
470.2286923.62320.000176
480.72823611.53740
490.2441333.86787e-05
50-0.195335-3.09470.001097
51-0.318992-5.05380
52-0.269474-4.26931.4e-05
53-0.049659-0.78670.216087
540.0771111.22170.111489
550.0067710.10730.457331
56-0.191632-3.0360.001325
57-0.23274-3.68730.000139
58-0.181606-2.87720.002179
590.2158583.41980.000366
600.68005210.77410

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.313606 & 4.9685 & 1e-06 \tabularnewline
2 & -0.19168 & -3.0368 & 0.001322 \tabularnewline
3 & -0.298798 & -4.7339 & 2e-06 \tabularnewline
4 & -0.247308 & -3.9181 & 5.8e-05 \tabularnewline
5 & 0.010638 & 0.1685 & 0.433146 \tabularnewline
6 & 0.126292 & 2.0008 & 0.023243 \tabularnewline
7 & 0.021903 & 0.347 & 0.364436 \tabularnewline
8 & -0.228299 & -3.6169 & 0.00018 \tabularnewline
9 & -0.282702 & -4.4788 & 6e-06 \tabularnewline
10 & -0.18357 & -2.9083 & 0.00198 \tabularnewline
11 & 0.301421 & 4.7754 & 2e-06 \tabularnewline
12 & 0.898556 & 14.2358 & 0 \tabularnewline
13 & 0.303351 & 4.806 & 1e-06 \tabularnewline
14 & -0.185406 & -2.9374 & 0.001809 \tabularnewline
15 & -0.31373 & -4.9704 & 1e-06 \tabularnewline
16 & -0.256955 & -4.0709 & 3.1e-05 \tabularnewline
17 & -0.002076 & -0.0329 & 0.486896 \tabularnewline
18 & 0.107326 & 1.7004 & 0.045151 \tabularnewline
19 & 0.01841 & 0.2917 & 0.385392 \tabularnewline
20 & -0.213862 & -3.3882 & 0.000408 \tabularnewline
21 & -0.26764 & -4.2402 & 1.6e-05 \tabularnewline
22 & -0.182734 & -2.895 & 0.002062 \tabularnewline
23 & 0.285491 & 4.523 & 5e-06 \tabularnewline
24 & 0.834907 & 13.2274 & 0 \tabularnewline
25 & 0.28002 & 4.4363 & 7e-06 \tabularnewline
26 & -0.193852 & -3.0712 & 0.001183 \tabularnewline
27 & -0.323178 & -5.1201 & 0 \tabularnewline
28 & -0.262896 & -4.1651 & 2.1e-05 \tabularnewline
29 & -0.010018 & -0.1587 & 0.43701 \tabularnewline
30 & 0.090269 & 1.4301 & 0.076961 \tabularnewline
31 & 0.012062 & 0.1911 & 0.424302 \tabularnewline
32 & -0.214963 & -3.4057 & 0.000384 \tabularnewline
33 & -0.262629 & -4.1608 & 2.2e-05 \tabularnewline
34 & -0.189157 & -2.9968 & 0.001501 \tabularnewline
35 & 0.251601 & 3.9861 & 4.4e-05 \tabularnewline
36 & 0.779185 & 12.3446 & 0 \tabularnewline
37 & 0.260165 & 4.1218 & 2.6e-05 \tabularnewline
38 & -0.194448 & -3.0806 & 0.001148 \tabularnewline
39 & -0.334678 & -5.3023 & 0 \tabularnewline
40 & -0.272887 & -4.3233 & 1.1e-05 \tabularnewline
41 & -0.031132 & -0.4932 & 0.311143 \tabularnewline
42 & 0.086329 & 1.3677 & 0.086313 \tabularnewline
43 & 0.014503 & 0.2298 & 0.40923 \tabularnewline
44 & -0.213287 & -3.3791 & 0.000422 \tabularnewline
45 & -0.256044 & -4.0565 & 3.3e-05 \tabularnewline
46 & -0.192105 & -3.0435 & 0.001293 \tabularnewline
47 & 0.228692 & 3.6232 & 0.000176 \tabularnewline
48 & 0.728236 & 11.5374 & 0 \tabularnewline
49 & 0.244133 & 3.8678 & 7e-05 \tabularnewline
50 & -0.195335 & -3.0947 & 0.001097 \tabularnewline
51 & -0.318992 & -5.0538 & 0 \tabularnewline
52 & -0.269474 & -4.2693 & 1.4e-05 \tabularnewline
53 & -0.049659 & -0.7867 & 0.216087 \tabularnewline
54 & 0.077111 & 1.2217 & 0.111489 \tabularnewline
55 & 0.006771 & 0.1073 & 0.457331 \tabularnewline
56 & -0.191632 & -3.036 & 0.001325 \tabularnewline
57 & -0.23274 & -3.6873 & 0.000139 \tabularnewline
58 & -0.181606 & -2.8772 & 0.002179 \tabularnewline
59 & 0.215858 & 3.4198 & 0.000366 \tabularnewline
60 & 0.680052 & 10.7741 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34785&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]0.313606[/C][C]4.9685[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.19168[/C][C]-3.0368[/C][C]0.001322[/C][/ROW]
[ROW][C]3[/C][C]-0.298798[/C][C]-4.7339[/C][C]2e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.247308[/C][C]-3.9181[/C][C]5.8e-05[/C][/ROW]
[ROW][C]5[/C][C]0.010638[/C][C]0.1685[/C][C]0.433146[/C][/ROW]
[ROW][C]6[/C][C]0.126292[/C][C]2.0008[/C][C]0.023243[/C][/ROW]
[ROW][C]7[/C][C]0.021903[/C][C]0.347[/C][C]0.364436[/C][/ROW]
[ROW][C]8[/C][C]-0.228299[/C][C]-3.6169[/C][C]0.00018[/C][/ROW]
[ROW][C]9[/C][C]-0.282702[/C][C]-4.4788[/C][C]6e-06[/C][/ROW]
[ROW][C]10[/C][C]-0.18357[/C][C]-2.9083[/C][C]0.00198[/C][/ROW]
[ROW][C]11[/C][C]0.301421[/C][C]4.7754[/C][C]2e-06[/C][/ROW]
[ROW][C]12[/C][C]0.898556[/C][C]14.2358[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.303351[/C][C]4.806[/C][C]1e-06[/C][/ROW]
[ROW][C]14[/C][C]-0.185406[/C][C]-2.9374[/C][C]0.001809[/C][/ROW]
[ROW][C]15[/C][C]-0.31373[/C][C]-4.9704[/C][C]1e-06[/C][/ROW]
[ROW][C]16[/C][C]-0.256955[/C][C]-4.0709[/C][C]3.1e-05[/C][/ROW]
[ROW][C]17[/C][C]-0.002076[/C][C]-0.0329[/C][C]0.486896[/C][/ROW]
[ROW][C]18[/C][C]0.107326[/C][C]1.7004[/C][C]0.045151[/C][/ROW]
[ROW][C]19[/C][C]0.01841[/C][C]0.2917[/C][C]0.385392[/C][/ROW]
[ROW][C]20[/C][C]-0.213862[/C][C]-3.3882[/C][C]0.000408[/C][/ROW]
[ROW][C]21[/C][C]-0.26764[/C][C]-4.2402[/C][C]1.6e-05[/C][/ROW]
[ROW][C]22[/C][C]-0.182734[/C][C]-2.895[/C][C]0.002062[/C][/ROW]
[ROW][C]23[/C][C]0.285491[/C][C]4.523[/C][C]5e-06[/C][/ROW]
[ROW][C]24[/C][C]0.834907[/C][C]13.2274[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.28002[/C][C]4.4363[/C][C]7e-06[/C][/ROW]
[ROW][C]26[/C][C]-0.193852[/C][C]-3.0712[/C][C]0.001183[/C][/ROW]
[ROW][C]27[/C][C]-0.323178[/C][C]-5.1201[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]-0.262896[/C][C]-4.1651[/C][C]2.1e-05[/C][/ROW]
[ROW][C]29[/C][C]-0.010018[/C][C]-0.1587[/C][C]0.43701[/C][/ROW]
[ROW][C]30[/C][C]0.090269[/C][C]1.4301[/C][C]0.076961[/C][/ROW]
[ROW][C]31[/C][C]0.012062[/C][C]0.1911[/C][C]0.424302[/C][/ROW]
[ROW][C]32[/C][C]-0.214963[/C][C]-3.4057[/C][C]0.000384[/C][/ROW]
[ROW][C]33[/C][C]-0.262629[/C][C]-4.1608[/C][C]2.2e-05[/C][/ROW]
[ROW][C]34[/C][C]-0.189157[/C][C]-2.9968[/C][C]0.001501[/C][/ROW]
[ROW][C]35[/C][C]0.251601[/C][C]3.9861[/C][C]4.4e-05[/C][/ROW]
[ROW][C]36[/C][C]0.779185[/C][C]12.3446[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.260165[/C][C]4.1218[/C][C]2.6e-05[/C][/ROW]
[ROW][C]38[/C][C]-0.194448[/C][C]-3.0806[/C][C]0.001148[/C][/ROW]
[ROW][C]39[/C][C]-0.334678[/C][C]-5.3023[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]-0.272887[/C][C]-4.3233[/C][C]1.1e-05[/C][/ROW]
[ROW][C]41[/C][C]-0.031132[/C][C]-0.4932[/C][C]0.311143[/C][/ROW]
[ROW][C]42[/C][C]0.086329[/C][C]1.3677[/C][C]0.086313[/C][/ROW]
[ROW][C]43[/C][C]0.014503[/C][C]0.2298[/C][C]0.40923[/C][/ROW]
[ROW][C]44[/C][C]-0.213287[/C][C]-3.3791[/C][C]0.000422[/C][/ROW]
[ROW][C]45[/C][C]-0.256044[/C][C]-4.0565[/C][C]3.3e-05[/C][/ROW]
[ROW][C]46[/C][C]-0.192105[/C][C]-3.0435[/C][C]0.001293[/C][/ROW]
[ROW][C]47[/C][C]0.228692[/C][C]3.6232[/C][C]0.000176[/C][/ROW]
[ROW][C]48[/C][C]0.728236[/C][C]11.5374[/C][C]0[/C][/ROW]
[ROW][C]49[/C][C]0.244133[/C][C]3.8678[/C][C]7e-05[/C][/ROW]
[ROW][C]50[/C][C]-0.195335[/C][C]-3.0947[/C][C]0.001097[/C][/ROW]
[ROW][C]51[/C][C]-0.318992[/C][C]-5.0538[/C][C]0[/C][/ROW]
[ROW][C]52[/C][C]-0.269474[/C][C]-4.2693[/C][C]1.4e-05[/C][/ROW]
[ROW][C]53[/C][C]-0.049659[/C][C]-0.7867[/C][C]0.216087[/C][/ROW]
[ROW][C]54[/C][C]0.077111[/C][C]1.2217[/C][C]0.111489[/C][/ROW]
[ROW][C]55[/C][C]0.006771[/C][C]0.1073[/C][C]0.457331[/C][/ROW]
[ROW][C]56[/C][C]-0.191632[/C][C]-3.036[/C][C]0.001325[/C][/ROW]
[ROW][C]57[/C][C]-0.23274[/C][C]-3.6873[/C][C]0.000139[/C][/ROW]
[ROW][C]58[/C][C]-0.181606[/C][C]-2.8772[/C][C]0.002179[/C][/ROW]
[ROW][C]59[/C][C]0.215858[/C][C]3.4198[/C][C]0.000366[/C][/ROW]
[ROW][C]60[/C][C]0.680052[/C][C]10.7741[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34785&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34785&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
10.3136064.96851e-06
2-0.19168-3.03680.001322
3-0.298798-4.73392e-06
4-0.247308-3.91815.8e-05
50.0106380.16850.433146
60.1262922.00080.023243
70.0219030.3470.364436
8-0.228299-3.61690.00018
9-0.282702-4.47886e-06
10-0.18357-2.90830.00198
110.3014214.77542e-06
120.89855614.23580
130.3033514.8061e-06
14-0.185406-2.93740.001809
15-0.31373-4.97041e-06
16-0.256955-4.07093.1e-05
17-0.002076-0.03290.486896
180.1073261.70040.045151
190.018410.29170.385392
20-0.213862-3.38820.000408
21-0.26764-4.24021.6e-05
22-0.182734-2.8950.002062
230.2854914.5235e-06
240.83490713.22740
250.280024.43637e-06
26-0.193852-3.07120.001183
27-0.323178-5.12010
28-0.262896-4.16512.1e-05
29-0.010018-0.15870.43701
300.0902691.43010.076961
310.0120620.19110.424302
32-0.214963-3.40570.000384
33-0.262629-4.16082.2e-05
34-0.189157-2.99680.001501
350.2516013.98614.4e-05
360.77918512.34460
370.2601654.12182.6e-05
38-0.194448-3.08060.001148
39-0.334678-5.30230
40-0.272887-4.32331.1e-05
41-0.031132-0.49320.311143
420.0863291.36770.086313
430.0145030.22980.40923
44-0.213287-3.37910.000422
45-0.256044-4.05653.3e-05
46-0.192105-3.04350.001293
470.2286923.62320.000176
480.72823611.53740
490.2441333.86787e-05
50-0.195335-3.09470.001097
51-0.318992-5.05380
52-0.269474-4.26931.4e-05
53-0.049659-0.78670.216087
540.0771111.22170.111489
550.0067710.10730.457331
56-0.191632-3.0360.001325
57-0.23274-3.68730.000139
58-0.181606-2.87720.002179
590.2158583.41980.000366
600.68005210.77410






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3136064.96851e-06
2-0.321664-5.09610
3-0.146562-2.3220.010517
4-0.179012-2.83610.00247
50.0571130.90480.183208
6-0.035687-0.56540.286157
7-0.096591-1.53030.063602
8-0.275752-4.36879e-06
9-0.179034-2.83640.002467
10-0.244444-3.87276.9e-05
110.2859564.53045e-06
120.82720613.10540
13-0.076241-1.20790.114115
140.0501130.79390.21399
15-0.033038-0.52340.300574
160.0227670.36070.359317
17-0.031348-0.49670.309935
18-0.104496-1.65550.049533
19-0.061498-0.97430.16542
20-0.037062-0.58720.278809
21-0.013302-0.21070.416632
22-0.068898-1.09160.138038
23-0.010275-0.16280.435409
240.1282232.03140.021632
25-0.09872-1.5640.059536
26-0.048573-0.76950.221146
27-0.003343-0.0530.478902
280.0009750.01550.493842
290.0006970.0110.495599
30-0.060171-0.95330.17068
31-0.027496-0.43560.331743
32-0.089454-1.41720.07883
33-0.044812-0.710.239194
34-0.095216-1.50850.066341
35-0.128846-2.04130.021133
360.033440.52980.298363
37-0.069056-1.0940.137491
380.0079650.12620.44984
39-0.050524-0.80040.212104
40-0.030401-0.48160.315239
41-0.085259-1.35080.088995
420.0370840.58750.278692
43-0.019289-0.30560.380085
44-0.052299-0.82860.204068
45-0.023487-0.37210.355067
46-0.022192-0.35160.362724
47-0.020438-0.32380.373179
48-0.017033-0.26980.393749
49-0.05117-0.81070.209158
50-0.04481-0.70990.239206
510.0985391.56110.059875
52-0.01289-0.20420.419177
53-0.053668-0.85030.197995
54-0.025772-0.40830.341699
55-0.062388-0.98840.16195
560.0667321.05720.145709
570.0024130.03820.484768
580.0226520.35890.359998
590.0031660.05020.480016
60-0.013836-0.21920.413335

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.313606 & 4.9685 & 1e-06 \tabularnewline
2 & -0.321664 & -5.0961 & 0 \tabularnewline
3 & -0.146562 & -2.322 & 0.010517 \tabularnewline
4 & -0.179012 & -2.8361 & 0.00247 \tabularnewline
5 & 0.057113 & 0.9048 & 0.183208 \tabularnewline
6 & -0.035687 & -0.5654 & 0.286157 \tabularnewline
7 & -0.096591 & -1.5303 & 0.063602 \tabularnewline
8 & -0.275752 & -4.3687 & 9e-06 \tabularnewline
9 & -0.179034 & -2.8364 & 0.002467 \tabularnewline
10 & -0.244444 & -3.8727 & 6.9e-05 \tabularnewline
11 & 0.285956 & 4.5304 & 5e-06 \tabularnewline
12 & 0.827206 & 13.1054 & 0 \tabularnewline
13 & -0.076241 & -1.2079 & 0.114115 \tabularnewline
14 & 0.050113 & 0.7939 & 0.21399 \tabularnewline
15 & -0.033038 & -0.5234 & 0.300574 \tabularnewline
16 & 0.022767 & 0.3607 & 0.359317 \tabularnewline
17 & -0.031348 & -0.4967 & 0.309935 \tabularnewline
18 & -0.104496 & -1.6555 & 0.049533 \tabularnewline
19 & -0.061498 & -0.9743 & 0.16542 \tabularnewline
20 & -0.037062 & -0.5872 & 0.278809 \tabularnewline
21 & -0.013302 & -0.2107 & 0.416632 \tabularnewline
22 & -0.068898 & -1.0916 & 0.138038 \tabularnewline
23 & -0.010275 & -0.1628 & 0.435409 \tabularnewline
24 & 0.128223 & 2.0314 & 0.021632 \tabularnewline
25 & -0.09872 & -1.564 & 0.059536 \tabularnewline
26 & -0.048573 & -0.7695 & 0.221146 \tabularnewline
27 & -0.003343 & -0.053 & 0.478902 \tabularnewline
28 & 0.000975 & 0.0155 & 0.493842 \tabularnewline
29 & 0.000697 & 0.011 & 0.495599 \tabularnewline
30 & -0.060171 & -0.9533 & 0.17068 \tabularnewline
31 & -0.027496 & -0.4356 & 0.331743 \tabularnewline
32 & -0.089454 & -1.4172 & 0.07883 \tabularnewline
33 & -0.044812 & -0.71 & 0.239194 \tabularnewline
34 & -0.095216 & -1.5085 & 0.066341 \tabularnewline
35 & -0.128846 & -2.0413 & 0.021133 \tabularnewline
36 & 0.03344 & 0.5298 & 0.298363 \tabularnewline
37 & -0.069056 & -1.094 & 0.137491 \tabularnewline
38 & 0.007965 & 0.1262 & 0.44984 \tabularnewline
39 & -0.050524 & -0.8004 & 0.212104 \tabularnewline
40 & -0.030401 & -0.4816 & 0.315239 \tabularnewline
41 & -0.085259 & -1.3508 & 0.088995 \tabularnewline
42 & 0.037084 & 0.5875 & 0.278692 \tabularnewline
43 & -0.019289 & -0.3056 & 0.380085 \tabularnewline
44 & -0.052299 & -0.8286 & 0.204068 \tabularnewline
45 & -0.023487 & -0.3721 & 0.355067 \tabularnewline
46 & -0.022192 & -0.3516 & 0.362724 \tabularnewline
47 & -0.020438 & -0.3238 & 0.373179 \tabularnewline
48 & -0.017033 & -0.2698 & 0.393749 \tabularnewline
49 & -0.05117 & -0.8107 & 0.209158 \tabularnewline
50 & -0.04481 & -0.7099 & 0.239206 \tabularnewline
51 & 0.098539 & 1.5611 & 0.059875 \tabularnewline
52 & -0.01289 & -0.2042 & 0.419177 \tabularnewline
53 & -0.053668 & -0.8503 & 0.197995 \tabularnewline
54 & -0.025772 & -0.4083 & 0.341699 \tabularnewline
55 & -0.062388 & -0.9884 & 0.16195 \tabularnewline
56 & 0.066732 & 1.0572 & 0.145709 \tabularnewline
57 & 0.002413 & 0.0382 & 0.484768 \tabularnewline
58 & 0.022652 & 0.3589 & 0.359998 \tabularnewline
59 & 0.003166 & 0.0502 & 0.480016 \tabularnewline
60 & -0.013836 & -0.2192 & 0.413335 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34785&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]0.313606[/C][C]4.9685[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.321664[/C][C]-5.0961[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]-0.146562[/C][C]-2.322[/C][C]0.010517[/C][/ROW]
[ROW][C]4[/C][C]-0.179012[/C][C]-2.8361[/C][C]0.00247[/C][/ROW]
[ROW][C]5[/C][C]0.057113[/C][C]0.9048[/C][C]0.183208[/C][/ROW]
[ROW][C]6[/C][C]-0.035687[/C][C]-0.5654[/C][C]0.286157[/C][/ROW]
[ROW][C]7[/C][C]-0.096591[/C][C]-1.5303[/C][C]0.063602[/C][/ROW]
[ROW][C]8[/C][C]-0.275752[/C][C]-4.3687[/C][C]9e-06[/C][/ROW]
[ROW][C]9[/C][C]-0.179034[/C][C]-2.8364[/C][C]0.002467[/C][/ROW]
[ROW][C]10[/C][C]-0.244444[/C][C]-3.8727[/C][C]6.9e-05[/C][/ROW]
[ROW][C]11[/C][C]0.285956[/C][C]4.5304[/C][C]5e-06[/C][/ROW]
[ROW][C]12[/C][C]0.827206[/C][C]13.1054[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.076241[/C][C]-1.2079[/C][C]0.114115[/C][/ROW]
[ROW][C]14[/C][C]0.050113[/C][C]0.7939[/C][C]0.21399[/C][/ROW]
[ROW][C]15[/C][C]-0.033038[/C][C]-0.5234[/C][C]0.300574[/C][/ROW]
[ROW][C]16[/C][C]0.022767[/C][C]0.3607[/C][C]0.359317[/C][/ROW]
[ROW][C]17[/C][C]-0.031348[/C][C]-0.4967[/C][C]0.309935[/C][/ROW]
[ROW][C]18[/C][C]-0.104496[/C][C]-1.6555[/C][C]0.049533[/C][/ROW]
[ROW][C]19[/C][C]-0.061498[/C][C]-0.9743[/C][C]0.16542[/C][/ROW]
[ROW][C]20[/C][C]-0.037062[/C][C]-0.5872[/C][C]0.278809[/C][/ROW]
[ROW][C]21[/C][C]-0.013302[/C][C]-0.2107[/C][C]0.416632[/C][/ROW]
[ROW][C]22[/C][C]-0.068898[/C][C]-1.0916[/C][C]0.138038[/C][/ROW]
[ROW][C]23[/C][C]-0.010275[/C][C]-0.1628[/C][C]0.435409[/C][/ROW]
[ROW][C]24[/C][C]0.128223[/C][C]2.0314[/C][C]0.021632[/C][/ROW]
[ROW][C]25[/C][C]-0.09872[/C][C]-1.564[/C][C]0.059536[/C][/ROW]
[ROW][C]26[/C][C]-0.048573[/C][C]-0.7695[/C][C]0.221146[/C][/ROW]
[ROW][C]27[/C][C]-0.003343[/C][C]-0.053[/C][C]0.478902[/C][/ROW]
[ROW][C]28[/C][C]0.000975[/C][C]0.0155[/C][C]0.493842[/C][/ROW]
[ROW][C]29[/C][C]0.000697[/C][C]0.011[/C][C]0.495599[/C][/ROW]
[ROW][C]30[/C][C]-0.060171[/C][C]-0.9533[/C][C]0.17068[/C][/ROW]
[ROW][C]31[/C][C]-0.027496[/C][C]-0.4356[/C][C]0.331743[/C][/ROW]
[ROW][C]32[/C][C]-0.089454[/C][C]-1.4172[/C][C]0.07883[/C][/ROW]
[ROW][C]33[/C][C]-0.044812[/C][C]-0.71[/C][C]0.239194[/C][/ROW]
[ROW][C]34[/C][C]-0.095216[/C][C]-1.5085[/C][C]0.066341[/C][/ROW]
[ROW][C]35[/C][C]-0.128846[/C][C]-2.0413[/C][C]0.021133[/C][/ROW]
[ROW][C]36[/C][C]0.03344[/C][C]0.5298[/C][C]0.298363[/C][/ROW]
[ROW][C]37[/C][C]-0.069056[/C][C]-1.094[/C][C]0.137491[/C][/ROW]
[ROW][C]38[/C][C]0.007965[/C][C]0.1262[/C][C]0.44984[/C][/ROW]
[ROW][C]39[/C][C]-0.050524[/C][C]-0.8004[/C][C]0.212104[/C][/ROW]
[ROW][C]40[/C][C]-0.030401[/C][C]-0.4816[/C][C]0.315239[/C][/ROW]
[ROW][C]41[/C][C]-0.085259[/C][C]-1.3508[/C][C]0.088995[/C][/ROW]
[ROW][C]42[/C][C]0.037084[/C][C]0.5875[/C][C]0.278692[/C][/ROW]
[ROW][C]43[/C][C]-0.019289[/C][C]-0.3056[/C][C]0.380085[/C][/ROW]
[ROW][C]44[/C][C]-0.052299[/C][C]-0.8286[/C][C]0.204068[/C][/ROW]
[ROW][C]45[/C][C]-0.023487[/C][C]-0.3721[/C][C]0.355067[/C][/ROW]
[ROW][C]46[/C][C]-0.022192[/C][C]-0.3516[/C][C]0.362724[/C][/ROW]
[ROW][C]47[/C][C]-0.020438[/C][C]-0.3238[/C][C]0.373179[/C][/ROW]
[ROW][C]48[/C][C]-0.017033[/C][C]-0.2698[/C][C]0.393749[/C][/ROW]
[ROW][C]49[/C][C]-0.05117[/C][C]-0.8107[/C][C]0.209158[/C][/ROW]
[ROW][C]50[/C][C]-0.04481[/C][C]-0.7099[/C][C]0.239206[/C][/ROW]
[ROW][C]51[/C][C]0.098539[/C][C]1.5611[/C][C]0.059875[/C][/ROW]
[ROW][C]52[/C][C]-0.01289[/C][C]-0.2042[/C][C]0.419177[/C][/ROW]
[ROW][C]53[/C][C]-0.053668[/C][C]-0.8503[/C][C]0.197995[/C][/ROW]
[ROW][C]54[/C][C]-0.025772[/C][C]-0.4083[/C][C]0.341699[/C][/ROW]
[ROW][C]55[/C][C]-0.062388[/C][C]-0.9884[/C][C]0.16195[/C][/ROW]
[ROW][C]56[/C][C]0.066732[/C][C]1.0572[/C][C]0.145709[/C][/ROW]
[ROW][C]57[/C][C]0.002413[/C][C]0.0382[/C][C]0.484768[/C][/ROW]
[ROW][C]58[/C][C]0.022652[/C][C]0.3589[/C][C]0.359998[/C][/ROW]
[ROW][C]59[/C][C]0.003166[/C][C]0.0502[/C][C]0.480016[/C][/ROW]
[ROW][C]60[/C][C]-0.013836[/C][C]-0.2192[/C][C]0.413335[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34785&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34785&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
10.3136064.96851e-06
2-0.321664-5.09610
3-0.146562-2.3220.010517
4-0.179012-2.83610.00247
50.0571130.90480.183208
6-0.035687-0.56540.286157
7-0.096591-1.53030.063602
8-0.275752-4.36879e-06
9-0.179034-2.83640.002467
10-0.244444-3.87276.9e-05
110.2859564.53045e-06
120.82720613.10540
13-0.076241-1.20790.114115
140.0501130.79390.21399
15-0.033038-0.52340.300574
160.0227670.36070.359317
17-0.031348-0.49670.309935
18-0.104496-1.65550.049533
19-0.061498-0.97430.16542
20-0.037062-0.58720.278809
21-0.013302-0.21070.416632
22-0.068898-1.09160.138038
23-0.010275-0.16280.435409
240.1282232.03140.021632
25-0.09872-1.5640.059536
26-0.048573-0.76950.221146
27-0.003343-0.0530.478902
280.0009750.01550.493842
290.0006970.0110.495599
30-0.060171-0.95330.17068
31-0.027496-0.43560.331743
32-0.089454-1.41720.07883
33-0.044812-0.710.239194
34-0.095216-1.50850.066341
35-0.128846-2.04130.021133
360.033440.52980.298363
37-0.069056-1.0940.137491
380.0079650.12620.44984
39-0.050524-0.80040.212104
40-0.030401-0.48160.315239
41-0.085259-1.35080.088995
420.0370840.58750.278692
43-0.019289-0.30560.380085
44-0.052299-0.82860.204068
45-0.023487-0.37210.355067
46-0.022192-0.35160.362724
47-0.020438-0.32380.373179
48-0.017033-0.26980.393749
49-0.05117-0.81070.209158
50-0.04481-0.70990.239206
510.0985391.56110.059875
52-0.01289-0.20420.419177
53-0.053668-0.85030.197995
54-0.025772-0.40830.341699
55-0.062388-0.98840.16195
560.0667321.05720.145709
570.0024130.03820.484768
580.0226520.35890.359998
590.0031660.05020.480016
60-0.013836-0.21920.413335


Figures (Output of Computation)

Input Parameters & R Code

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