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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, 20 Dec 2009 13:43:27 -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/2009/Dec/20/t1261341862viw2ln72qw0n7rj.htm/, Retrieved Sat, 27 Apr 2024 11:06:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70020, Retrieved Sat, 27 Apr 2024 11:06:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Paper TW] [2008-12-10 10:52:36] [6610d6fd8f463fb18a844c14dc2c3579]
- RMPD    [(Partial) Autocorrelation Function] [paper Statistiek ...] [2009-12-20 20:43:27] [56eb6eb137e5652a8f2309d1e9c805c5] [Current]
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Dataseries X:
101.0
98.7
105.1
98.4
101.7
102.9
92.2
94.9
92.8
98.5
94.3
87.4
103.4
101.2
109.6
111.9
108.9
105.6
107.8
97.5
102.4
105.6
99.8
96.2
113.1
107.4
116.8
112.9
105.3
109.3
107.9
101.1
114.7
116.2
108.4
113.4
108.7
112.6
124.2
114.9
110.5
121.5
118.1
111.7
132.7
119.0
116.7
120.1
113.4
106.6
116.3
112.6
111.6
125.1
110.7
109.6
114.2
113.4
116.0
109.6
117.8
115.8
125.3
113.0
120.5
116.6
111.8
115.2
118.6
122.4
116.4
114.5
119.8
115.8
127.8
118.8
119.7
118.6
120.8
115.9
109.7
114.8
116.2
112.2




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=70020&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=70020&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70020&T=0

As an alternative you can also use a 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
10.6498395.95590
20.6189075.67240
30.6588156.03810
40.4967824.55319e-06
50.4914144.50391.1e-05
60.5456845.00132e-06
70.4082963.74210.000166
80.4151083.80450.000134
90.4778814.37991.7e-05
100.3242512.97180.00193
110.3587363.28790.000738
120.42033.85210.000114
130.2165481.98470.025221
140.259762.38070.00977
150.2274112.08430.020087
160.1808761.65780.050548
170.2243322.0560.021442
180.2241232.05410.021537
190.1189341.09010.139404
200.1899031.74050.042717
210.1268511.16260.12414
220.027510.25210.400778
230.0835720.76590.222927
240.0662710.60740.272619
25-0.000332-0.0030.498789
260.0285850.2620.396986
270.0067790.06210.475303
280.006480.05940.476391
290.0257610.23610.406962
30-0.001877-0.01720.493159
31-0.074333-0.68130.248787
32-0.063899-0.58560.279843
33-0.141546-1.29730.099041
34-0.150931-1.38330.085118
35-0.13427-1.23060.110954
36-0.124785-1.14370.128004
37-0.15837-1.45150.075184
38-0.172929-1.58490.058371
39-0.180357-1.6530.051032
40-0.173818-1.59310.057451
41-0.19479-1.78530.038912
42-0.195843-1.79490.038131
43-0.188901-1.73130.043534
44-0.175904-1.61220.055336
45-0.17688-1.62110.054369
46-0.167552-1.53560.064193
47-0.183732-1.68390.047954
48-0.116265-1.06560.144832
49-0.164859-1.5110.067276
50-0.191146-1.75190.041722
51-0.222169-2.03620.02244
52-0.219266-2.00960.023842
53-0.228157-2.09110.019771
54-0.227093-2.08130.020224
55-0.228655-2.09570.019562
56-0.235116-2.15490.017017
57-0.222589-2.04010.022243
58-0.228572-2.09490.019596
59-0.229551-2.10390.01919
60-0.201257-1.84460.034314

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.649839 & 5.9559 & 0 \tabularnewline
2 & 0.618907 & 5.6724 & 0 \tabularnewline
3 & 0.658815 & 6.0381 & 0 \tabularnewline
4 & 0.496782 & 4.5531 & 9e-06 \tabularnewline
5 & 0.491414 & 4.5039 & 1.1e-05 \tabularnewline
6 & 0.545684 & 5.0013 & 2e-06 \tabularnewline
7 & 0.408296 & 3.7421 & 0.000166 \tabularnewline
8 & 0.415108 & 3.8045 & 0.000134 \tabularnewline
9 & 0.477881 & 4.3799 & 1.7e-05 \tabularnewline
10 & 0.324251 & 2.9718 & 0.00193 \tabularnewline
11 & 0.358736 & 3.2879 & 0.000738 \tabularnewline
12 & 0.4203 & 3.8521 & 0.000114 \tabularnewline
13 & 0.216548 & 1.9847 & 0.025221 \tabularnewline
14 & 0.25976 & 2.3807 & 0.00977 \tabularnewline
15 & 0.227411 & 2.0843 & 0.020087 \tabularnewline
16 & 0.180876 & 1.6578 & 0.050548 \tabularnewline
17 & 0.224332 & 2.056 & 0.021442 \tabularnewline
18 & 0.224123 & 2.0541 & 0.021537 \tabularnewline
19 & 0.118934 & 1.0901 & 0.139404 \tabularnewline
20 & 0.189903 & 1.7405 & 0.042717 \tabularnewline
21 & 0.126851 & 1.1626 & 0.12414 \tabularnewline
22 & 0.02751 & 0.2521 & 0.400778 \tabularnewline
23 & 0.083572 & 0.7659 & 0.222927 \tabularnewline
24 & 0.066271 & 0.6074 & 0.272619 \tabularnewline
25 & -0.000332 & -0.003 & 0.498789 \tabularnewline
26 & 0.028585 & 0.262 & 0.396986 \tabularnewline
27 & 0.006779 & 0.0621 & 0.475303 \tabularnewline
28 & 0.00648 & 0.0594 & 0.476391 \tabularnewline
29 & 0.025761 & 0.2361 & 0.406962 \tabularnewline
30 & -0.001877 & -0.0172 & 0.493159 \tabularnewline
31 & -0.074333 & -0.6813 & 0.248787 \tabularnewline
32 & -0.063899 & -0.5856 & 0.279843 \tabularnewline
33 & -0.141546 & -1.2973 & 0.099041 \tabularnewline
34 & -0.150931 & -1.3833 & 0.085118 \tabularnewline
35 & -0.13427 & -1.2306 & 0.110954 \tabularnewline
36 & -0.124785 & -1.1437 & 0.128004 \tabularnewline
37 & -0.15837 & -1.4515 & 0.075184 \tabularnewline
38 & -0.172929 & -1.5849 & 0.058371 \tabularnewline
39 & -0.180357 & -1.653 & 0.051032 \tabularnewline
40 & -0.173818 & -1.5931 & 0.057451 \tabularnewline
41 & -0.19479 & -1.7853 & 0.038912 \tabularnewline
42 & -0.195843 & -1.7949 & 0.038131 \tabularnewline
43 & -0.188901 & -1.7313 & 0.043534 \tabularnewline
44 & -0.175904 & -1.6122 & 0.055336 \tabularnewline
45 & -0.17688 & -1.6211 & 0.054369 \tabularnewline
46 & -0.167552 & -1.5356 & 0.064193 \tabularnewline
47 & -0.183732 & -1.6839 & 0.047954 \tabularnewline
48 & -0.116265 & -1.0656 & 0.144832 \tabularnewline
49 & -0.164859 & -1.511 & 0.067276 \tabularnewline
50 & -0.191146 & -1.7519 & 0.041722 \tabularnewline
51 & -0.222169 & -2.0362 & 0.02244 \tabularnewline
52 & -0.219266 & -2.0096 & 0.023842 \tabularnewline
53 & -0.228157 & -2.0911 & 0.019771 \tabularnewline
54 & -0.227093 & -2.0813 & 0.020224 \tabularnewline
55 & -0.228655 & -2.0957 & 0.019562 \tabularnewline
56 & -0.235116 & -2.1549 & 0.017017 \tabularnewline
57 & -0.222589 & -2.0401 & 0.022243 \tabularnewline
58 & -0.228572 & -2.0949 & 0.019596 \tabularnewline
59 & -0.229551 & -2.1039 & 0.01919 \tabularnewline
60 & -0.201257 & -1.8446 & 0.034314 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70020&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]0.649839[/C][C]5.9559[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.618907[/C][C]5.6724[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.658815[/C][C]6.0381[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.496782[/C][C]4.5531[/C][C]9e-06[/C][/ROW]
[ROW][C]5[/C][C]0.491414[/C][C]4.5039[/C][C]1.1e-05[/C][/ROW]
[ROW][C]6[/C][C]0.545684[/C][C]5.0013[/C][C]2e-06[/C][/ROW]
[ROW][C]7[/C][C]0.408296[/C][C]3.7421[/C][C]0.000166[/C][/ROW]
[ROW][C]8[/C][C]0.415108[/C][C]3.8045[/C][C]0.000134[/C][/ROW]
[ROW][C]9[/C][C]0.477881[/C][C]4.3799[/C][C]1.7e-05[/C][/ROW]
[ROW][C]10[/C][C]0.324251[/C][C]2.9718[/C][C]0.00193[/C][/ROW]
[ROW][C]11[/C][C]0.358736[/C][C]3.2879[/C][C]0.000738[/C][/ROW]
[ROW][C]12[/C][C]0.4203[/C][C]3.8521[/C][C]0.000114[/C][/ROW]
[ROW][C]13[/C][C]0.216548[/C][C]1.9847[/C][C]0.025221[/C][/ROW]
[ROW][C]14[/C][C]0.25976[/C][C]2.3807[/C][C]0.00977[/C][/ROW]
[ROW][C]15[/C][C]0.227411[/C][C]2.0843[/C][C]0.020087[/C][/ROW]
[ROW][C]16[/C][C]0.180876[/C][C]1.6578[/C][C]0.050548[/C][/ROW]
[ROW][C]17[/C][C]0.224332[/C][C]2.056[/C][C]0.021442[/C][/ROW]
[ROW][C]18[/C][C]0.224123[/C][C]2.0541[/C][C]0.021537[/C][/ROW]
[ROW][C]19[/C][C]0.118934[/C][C]1.0901[/C][C]0.139404[/C][/ROW]
[ROW][C]20[/C][C]0.189903[/C][C]1.7405[/C][C]0.042717[/C][/ROW]
[ROW][C]21[/C][C]0.126851[/C][C]1.1626[/C][C]0.12414[/C][/ROW]
[ROW][C]22[/C][C]0.02751[/C][C]0.2521[/C][C]0.400778[/C][/ROW]
[ROW][C]23[/C][C]0.083572[/C][C]0.7659[/C][C]0.222927[/C][/ROW]
[ROW][C]24[/C][C]0.066271[/C][C]0.6074[/C][C]0.272619[/C][/ROW]
[ROW][C]25[/C][C]-0.000332[/C][C]-0.003[/C][C]0.498789[/C][/ROW]
[ROW][C]26[/C][C]0.028585[/C][C]0.262[/C][C]0.396986[/C][/ROW]
[ROW][C]27[/C][C]0.006779[/C][C]0.0621[/C][C]0.475303[/C][/ROW]
[ROW][C]28[/C][C]0.00648[/C][C]0.0594[/C][C]0.476391[/C][/ROW]
[ROW][C]29[/C][C]0.025761[/C][C]0.2361[/C][C]0.406962[/C][/ROW]
[ROW][C]30[/C][C]-0.001877[/C][C]-0.0172[/C][C]0.493159[/C][/ROW]
[ROW][C]31[/C][C]-0.074333[/C][C]-0.6813[/C][C]0.248787[/C][/ROW]
[ROW][C]32[/C][C]-0.063899[/C][C]-0.5856[/C][C]0.279843[/C][/ROW]
[ROW][C]33[/C][C]-0.141546[/C][C]-1.2973[/C][C]0.099041[/C][/ROW]
[ROW][C]34[/C][C]-0.150931[/C][C]-1.3833[/C][C]0.085118[/C][/ROW]
[ROW][C]35[/C][C]-0.13427[/C][C]-1.2306[/C][C]0.110954[/C][/ROW]
[ROW][C]36[/C][C]-0.124785[/C][C]-1.1437[/C][C]0.128004[/C][/ROW]
[ROW][C]37[/C][C]-0.15837[/C][C]-1.4515[/C][C]0.075184[/C][/ROW]
[ROW][C]38[/C][C]-0.172929[/C][C]-1.5849[/C][C]0.058371[/C][/ROW]
[ROW][C]39[/C][C]-0.180357[/C][C]-1.653[/C][C]0.051032[/C][/ROW]
[ROW][C]40[/C][C]-0.173818[/C][C]-1.5931[/C][C]0.057451[/C][/ROW]
[ROW][C]41[/C][C]-0.19479[/C][C]-1.7853[/C][C]0.038912[/C][/ROW]
[ROW][C]42[/C][C]-0.195843[/C][C]-1.7949[/C][C]0.038131[/C][/ROW]
[ROW][C]43[/C][C]-0.188901[/C][C]-1.7313[/C][C]0.043534[/C][/ROW]
[ROW][C]44[/C][C]-0.175904[/C][C]-1.6122[/C][C]0.055336[/C][/ROW]
[ROW][C]45[/C][C]-0.17688[/C][C]-1.6211[/C][C]0.054369[/C][/ROW]
[ROW][C]46[/C][C]-0.167552[/C][C]-1.5356[/C][C]0.064193[/C][/ROW]
[ROW][C]47[/C][C]-0.183732[/C][C]-1.6839[/C][C]0.047954[/C][/ROW]
[ROW][C]48[/C][C]-0.116265[/C][C]-1.0656[/C][C]0.144832[/C][/ROW]
[ROW][C]49[/C][C]-0.164859[/C][C]-1.511[/C][C]0.067276[/C][/ROW]
[ROW][C]50[/C][C]-0.191146[/C][C]-1.7519[/C][C]0.041722[/C][/ROW]
[ROW][C]51[/C][C]-0.222169[/C][C]-2.0362[/C][C]0.02244[/C][/ROW]
[ROW][C]52[/C][C]-0.219266[/C][C]-2.0096[/C][C]0.023842[/C][/ROW]
[ROW][C]53[/C][C]-0.228157[/C][C]-2.0911[/C][C]0.019771[/C][/ROW]
[ROW][C]54[/C][C]-0.227093[/C][C]-2.0813[/C][C]0.020224[/C][/ROW]
[ROW][C]55[/C][C]-0.228655[/C][C]-2.0957[/C][C]0.019562[/C][/ROW]
[ROW][C]56[/C][C]-0.235116[/C][C]-2.1549[/C][C]0.017017[/C][/ROW]
[ROW][C]57[/C][C]-0.222589[/C][C]-2.0401[/C][C]0.022243[/C][/ROW]
[ROW][C]58[/C][C]-0.228572[/C][C]-2.0949[/C][C]0.019596[/C][/ROW]
[ROW][C]59[/C][C]-0.229551[/C][C]-2.1039[/C][C]0.01919[/C][/ROW]
[ROW][C]60[/C][C]-0.201257[/C][C]-1.8446[/C][C]0.034314[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70020&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70020&T=1

As an alternative you can also use a QR Code:  

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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6498395.95590
20.6189075.67240
30.6588156.03810
40.4967824.55319e-06
50.4914144.50391.1e-05
60.5456845.00132e-06
70.4082963.74210.000166
80.4151083.80450.000134
90.4778814.37991.7e-05
100.3242512.97180.00193
110.3587363.28790.000738
120.42033.85210.000114
130.2165481.98470.025221
140.259762.38070.00977
150.2274112.08430.020087
160.1808761.65780.050548
170.2243322.0560.021442
180.2241232.05410.021537
190.1189341.09010.139404
200.1899031.74050.042717
210.1268511.16260.12414
220.027510.25210.400778
230.0835720.76590.222927
240.0662710.60740.272619
25-0.000332-0.0030.498789
260.0285850.2620.396986
270.0067790.06210.475303
280.006480.05940.476391
290.0257610.23610.406962
30-0.001877-0.01720.493159
31-0.074333-0.68130.248787
32-0.063899-0.58560.279843
33-0.141546-1.29730.099041
34-0.150931-1.38330.085118
35-0.13427-1.23060.110954
36-0.124785-1.14370.128004
37-0.15837-1.45150.075184
38-0.172929-1.58490.058371
39-0.180357-1.6530.051032
40-0.173818-1.59310.057451
41-0.19479-1.78530.038912
42-0.195843-1.79490.038131
43-0.188901-1.73130.043534
44-0.175904-1.61220.055336
45-0.17688-1.62110.054369
46-0.167552-1.53560.064193
47-0.183732-1.68390.047954
48-0.116265-1.06560.144832
49-0.164859-1.5110.067276
50-0.191146-1.75190.041722
51-0.222169-2.03620.02244
52-0.219266-2.00960.023842
53-0.228157-2.09110.019771
54-0.227093-2.08130.020224
55-0.228655-2.09570.019562
56-0.235116-2.15490.017017
57-0.222589-2.04010.022243
58-0.228572-2.09490.019596
59-0.229551-2.10390.01919
60-0.201257-1.84460.034314







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6498395.95590
20.3403393.11930.001242
30.3373973.09230.001348
4-0.111258-1.01970.1554
50.0345530.31670.376136
60.186011.70480.045963
7-0.084396-0.77350.220698
80.0039880.03660.485464
90.1471151.34830.090588
10-0.127733-1.17070.122517
110.0250960.230.409323
120.129381.18580.119524
13-0.238861-2.18920.015679
14-0.020959-0.19210.424066
15-0.103945-0.95270.171746
160.1666311.52720.065234
170.0458330.42010.337755
18-0.014366-0.13170.44778
19-0.079779-0.73120.23335
200.0665610.610.27174
21-0.1331-1.21990.112961
22-0.066743-0.61170.27119
23-0.023717-0.21740.414224
240.0829730.76050.224553
250.0119690.10970.456455
26-0.089482-0.82010.207234
270.055320.5070.306736
280.0560740.51390.304328
29-0.055472-0.50840.306249
30-0.016976-0.15560.438364
31-0.069599-0.63790.262641
32-0.106627-0.97720.165626
33-0.087085-0.79810.213518
340.0163080.14950.440772
350.0412480.3780.353175
360.0434360.39810.345785
37-0.086925-0.79670.213941
38-0.047681-0.4370.331615
390.0255970.23460.407543
400.0179830.16480.43474
41-0.061624-0.56480.28686
420.0398260.3650.35801
430.1004070.92020.180041
440.0286430.26250.396783
45-0.025787-0.23630.406872
46-0.03642-0.33380.369683
47-0.058695-0.53790.296018
480.0775670.71090.239554
49-0.040654-0.37260.355192
50-0.034215-0.31360.377306
51-0.159437-1.46130.073837
52-0.021421-0.19630.422415
530.0436610.40020.345027
54-0.049409-0.45280.325915
55-0.044482-0.40770.342273
56-0.047664-0.43680.331672
570.0190380.17450.430951
580.0632430.57960.281856
59-0.01202-0.11020.456269
60-0.055622-0.50980.305769

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.649839 & 5.9559 & 0 \tabularnewline
2 & 0.340339 & 3.1193 & 0.001242 \tabularnewline
3 & 0.337397 & 3.0923 & 0.001348 \tabularnewline
4 & -0.111258 & -1.0197 & 0.1554 \tabularnewline
5 & 0.034553 & 0.3167 & 0.376136 \tabularnewline
6 & 0.18601 & 1.7048 & 0.045963 \tabularnewline
7 & -0.084396 & -0.7735 & 0.220698 \tabularnewline
8 & 0.003988 & 0.0366 & 0.485464 \tabularnewline
9 & 0.147115 & 1.3483 & 0.090588 \tabularnewline
10 & -0.127733 & -1.1707 & 0.122517 \tabularnewline
11 & 0.025096 & 0.23 & 0.409323 \tabularnewline
12 & 0.12938 & 1.1858 & 0.119524 \tabularnewline
13 & -0.238861 & -2.1892 & 0.015679 \tabularnewline
14 & -0.020959 & -0.1921 & 0.424066 \tabularnewline
15 & -0.103945 & -0.9527 & 0.171746 \tabularnewline
16 & 0.166631 & 1.5272 & 0.065234 \tabularnewline
17 & 0.045833 & 0.4201 & 0.337755 \tabularnewline
18 & -0.014366 & -0.1317 & 0.44778 \tabularnewline
19 & -0.079779 & -0.7312 & 0.23335 \tabularnewline
20 & 0.066561 & 0.61 & 0.27174 \tabularnewline
21 & -0.1331 & -1.2199 & 0.112961 \tabularnewline
22 & -0.066743 & -0.6117 & 0.27119 \tabularnewline
23 & -0.023717 & -0.2174 & 0.414224 \tabularnewline
24 & 0.082973 & 0.7605 & 0.224553 \tabularnewline
25 & 0.011969 & 0.1097 & 0.456455 \tabularnewline
26 & -0.089482 & -0.8201 & 0.207234 \tabularnewline
27 & 0.05532 & 0.507 & 0.306736 \tabularnewline
28 & 0.056074 & 0.5139 & 0.304328 \tabularnewline
29 & -0.055472 & -0.5084 & 0.306249 \tabularnewline
30 & -0.016976 & -0.1556 & 0.438364 \tabularnewline
31 & -0.069599 & -0.6379 & 0.262641 \tabularnewline
32 & -0.106627 & -0.9772 & 0.165626 \tabularnewline
33 & -0.087085 & -0.7981 & 0.213518 \tabularnewline
34 & 0.016308 & 0.1495 & 0.440772 \tabularnewline
35 & 0.041248 & 0.378 & 0.353175 \tabularnewline
36 & 0.043436 & 0.3981 & 0.345785 \tabularnewline
37 & -0.086925 & -0.7967 & 0.213941 \tabularnewline
38 & -0.047681 & -0.437 & 0.331615 \tabularnewline
39 & 0.025597 & 0.2346 & 0.407543 \tabularnewline
40 & 0.017983 & 0.1648 & 0.43474 \tabularnewline
41 & -0.061624 & -0.5648 & 0.28686 \tabularnewline
42 & 0.039826 & 0.365 & 0.35801 \tabularnewline
43 & 0.100407 & 0.9202 & 0.180041 \tabularnewline
44 & 0.028643 & 0.2625 & 0.396783 \tabularnewline
45 & -0.025787 & -0.2363 & 0.406872 \tabularnewline
46 & -0.03642 & -0.3338 & 0.369683 \tabularnewline
47 & -0.058695 & -0.5379 & 0.296018 \tabularnewline
48 & 0.077567 & 0.7109 & 0.239554 \tabularnewline
49 & -0.040654 & -0.3726 & 0.355192 \tabularnewline
50 & -0.034215 & -0.3136 & 0.377306 \tabularnewline
51 & -0.159437 & -1.4613 & 0.073837 \tabularnewline
52 & -0.021421 & -0.1963 & 0.422415 \tabularnewline
53 & 0.043661 & 0.4002 & 0.345027 \tabularnewline
54 & -0.049409 & -0.4528 & 0.325915 \tabularnewline
55 & -0.044482 & -0.4077 & 0.342273 \tabularnewline
56 & -0.047664 & -0.4368 & 0.331672 \tabularnewline
57 & 0.019038 & 0.1745 & 0.430951 \tabularnewline
58 & 0.063243 & 0.5796 & 0.281856 \tabularnewline
59 & -0.01202 & -0.1102 & 0.456269 \tabularnewline
60 & -0.055622 & -0.5098 & 0.305769 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70020&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]0.649839[/C][C]5.9559[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.340339[/C][C]3.1193[/C][C]0.001242[/C][/ROW]
[ROW][C]3[/C][C]0.337397[/C][C]3.0923[/C][C]0.001348[/C][/ROW]
[ROW][C]4[/C][C]-0.111258[/C][C]-1.0197[/C][C]0.1554[/C][/ROW]
[ROW][C]5[/C][C]0.034553[/C][C]0.3167[/C][C]0.376136[/C][/ROW]
[ROW][C]6[/C][C]0.18601[/C][C]1.7048[/C][C]0.045963[/C][/ROW]
[ROW][C]7[/C][C]-0.084396[/C][C]-0.7735[/C][C]0.220698[/C][/ROW]
[ROW][C]8[/C][C]0.003988[/C][C]0.0366[/C][C]0.485464[/C][/ROW]
[ROW][C]9[/C][C]0.147115[/C][C]1.3483[/C][C]0.090588[/C][/ROW]
[ROW][C]10[/C][C]-0.127733[/C][C]-1.1707[/C][C]0.122517[/C][/ROW]
[ROW][C]11[/C][C]0.025096[/C][C]0.23[/C][C]0.409323[/C][/ROW]
[ROW][C]12[/C][C]0.12938[/C][C]1.1858[/C][C]0.119524[/C][/ROW]
[ROW][C]13[/C][C]-0.238861[/C][C]-2.1892[/C][C]0.015679[/C][/ROW]
[ROW][C]14[/C][C]-0.020959[/C][C]-0.1921[/C][C]0.424066[/C][/ROW]
[ROW][C]15[/C][C]-0.103945[/C][C]-0.9527[/C][C]0.171746[/C][/ROW]
[ROW][C]16[/C][C]0.166631[/C][C]1.5272[/C][C]0.065234[/C][/ROW]
[ROW][C]17[/C][C]0.045833[/C][C]0.4201[/C][C]0.337755[/C][/ROW]
[ROW][C]18[/C][C]-0.014366[/C][C]-0.1317[/C][C]0.44778[/C][/ROW]
[ROW][C]19[/C][C]-0.079779[/C][C]-0.7312[/C][C]0.23335[/C][/ROW]
[ROW][C]20[/C][C]0.066561[/C][C]0.61[/C][C]0.27174[/C][/ROW]
[ROW][C]21[/C][C]-0.1331[/C][C]-1.2199[/C][C]0.112961[/C][/ROW]
[ROW][C]22[/C][C]-0.066743[/C][C]-0.6117[/C][C]0.27119[/C][/ROW]
[ROW][C]23[/C][C]-0.023717[/C][C]-0.2174[/C][C]0.414224[/C][/ROW]
[ROW][C]24[/C][C]0.082973[/C][C]0.7605[/C][C]0.224553[/C][/ROW]
[ROW][C]25[/C][C]0.011969[/C][C]0.1097[/C][C]0.456455[/C][/ROW]
[ROW][C]26[/C][C]-0.089482[/C][C]-0.8201[/C][C]0.207234[/C][/ROW]
[ROW][C]27[/C][C]0.05532[/C][C]0.507[/C][C]0.306736[/C][/ROW]
[ROW][C]28[/C][C]0.056074[/C][C]0.5139[/C][C]0.304328[/C][/ROW]
[ROW][C]29[/C][C]-0.055472[/C][C]-0.5084[/C][C]0.306249[/C][/ROW]
[ROW][C]30[/C][C]-0.016976[/C][C]-0.1556[/C][C]0.438364[/C][/ROW]
[ROW][C]31[/C][C]-0.069599[/C][C]-0.6379[/C][C]0.262641[/C][/ROW]
[ROW][C]32[/C][C]-0.106627[/C][C]-0.9772[/C][C]0.165626[/C][/ROW]
[ROW][C]33[/C][C]-0.087085[/C][C]-0.7981[/C][C]0.213518[/C][/ROW]
[ROW][C]34[/C][C]0.016308[/C][C]0.1495[/C][C]0.440772[/C][/ROW]
[ROW][C]35[/C][C]0.041248[/C][C]0.378[/C][C]0.353175[/C][/ROW]
[ROW][C]36[/C][C]0.043436[/C][C]0.3981[/C][C]0.345785[/C][/ROW]
[ROW][C]37[/C][C]-0.086925[/C][C]-0.7967[/C][C]0.213941[/C][/ROW]
[ROW][C]38[/C][C]-0.047681[/C][C]-0.437[/C][C]0.331615[/C][/ROW]
[ROW][C]39[/C][C]0.025597[/C][C]0.2346[/C][C]0.407543[/C][/ROW]
[ROW][C]40[/C][C]0.017983[/C][C]0.1648[/C][C]0.43474[/C][/ROW]
[ROW][C]41[/C][C]-0.061624[/C][C]-0.5648[/C][C]0.28686[/C][/ROW]
[ROW][C]42[/C][C]0.039826[/C][C]0.365[/C][C]0.35801[/C][/ROW]
[ROW][C]43[/C][C]0.100407[/C][C]0.9202[/C][C]0.180041[/C][/ROW]
[ROW][C]44[/C][C]0.028643[/C][C]0.2625[/C][C]0.396783[/C][/ROW]
[ROW][C]45[/C][C]-0.025787[/C][C]-0.2363[/C][C]0.406872[/C][/ROW]
[ROW][C]46[/C][C]-0.03642[/C][C]-0.3338[/C][C]0.369683[/C][/ROW]
[ROW][C]47[/C][C]-0.058695[/C][C]-0.5379[/C][C]0.296018[/C][/ROW]
[ROW][C]48[/C][C]0.077567[/C][C]0.7109[/C][C]0.239554[/C][/ROW]
[ROW][C]49[/C][C]-0.040654[/C][C]-0.3726[/C][C]0.355192[/C][/ROW]
[ROW][C]50[/C][C]-0.034215[/C][C]-0.3136[/C][C]0.377306[/C][/ROW]
[ROW][C]51[/C][C]-0.159437[/C][C]-1.4613[/C][C]0.073837[/C][/ROW]
[ROW][C]52[/C][C]-0.021421[/C][C]-0.1963[/C][C]0.422415[/C][/ROW]
[ROW][C]53[/C][C]0.043661[/C][C]0.4002[/C][C]0.345027[/C][/ROW]
[ROW][C]54[/C][C]-0.049409[/C][C]-0.4528[/C][C]0.325915[/C][/ROW]
[ROW][C]55[/C][C]-0.044482[/C][C]-0.4077[/C][C]0.342273[/C][/ROW]
[ROW][C]56[/C][C]-0.047664[/C][C]-0.4368[/C][C]0.331672[/C][/ROW]
[ROW][C]57[/C][C]0.019038[/C][C]0.1745[/C][C]0.430951[/C][/ROW]
[ROW][C]58[/C][C]0.063243[/C][C]0.5796[/C][C]0.281856[/C][/ROW]
[ROW][C]59[/C][C]-0.01202[/C][C]-0.1102[/C][C]0.456269[/C][/ROW]
[ROW][C]60[/C][C]-0.055622[/C][C]-0.5098[/C][C]0.305769[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70020&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70020&T=2

As an alternative you can also use a QR Code:  

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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6498395.95590
20.3403393.11930.001242
30.3373973.09230.001348
4-0.111258-1.01970.1554
50.0345530.31670.376136
60.186011.70480.045963
7-0.084396-0.77350.220698
80.0039880.03660.485464
90.1471151.34830.090588
10-0.127733-1.17070.122517
110.0250960.230.409323
120.129381.18580.119524
13-0.238861-2.18920.015679
14-0.020959-0.19210.424066
15-0.103945-0.95270.171746
160.1666311.52720.065234
170.0458330.42010.337755
18-0.014366-0.13170.44778
19-0.079779-0.73120.23335
200.0665610.610.27174
21-0.1331-1.21990.112961
22-0.066743-0.61170.27119
23-0.023717-0.21740.414224
240.0829730.76050.224553
250.0119690.10970.456455
26-0.089482-0.82010.207234
270.055320.5070.306736
280.0560740.51390.304328
29-0.055472-0.50840.306249
30-0.016976-0.15560.438364
31-0.069599-0.63790.262641
32-0.106627-0.97720.165626
33-0.087085-0.79810.213518
340.0163080.14950.440772
350.0412480.3780.353175
360.0434360.39810.345785
37-0.086925-0.79670.213941
38-0.047681-0.4370.331615
390.0255970.23460.407543
400.0179830.16480.43474
41-0.061624-0.56480.28686
420.0398260.3650.35801
430.1004070.92020.180041
440.0286430.26250.396783
45-0.025787-0.23630.406872
46-0.03642-0.33380.369683
47-0.058695-0.53790.296018
480.0775670.71090.239554
49-0.040654-0.37260.355192
50-0.034215-0.31360.377306
51-0.159437-1.46130.073837
52-0.021421-0.19630.422415
530.0436610.40020.345027
54-0.049409-0.45280.325915
55-0.044482-0.40770.342273
56-0.047664-0.43680.331672
570.0190380.17450.430951
580.0632430.57960.281856
59-0.01202-0.11020.456269
60-0.055622-0.50980.305769



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')