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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 computationFri, 19 Dec 2008 04:21:38 -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/19/t12296857478e3437et9ul65um.htm/, Retrieved Thu, 16 May 2024 01:05:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35061, Retrieved Thu, 16 May 2024 01:05:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact199
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr inv] [2008-12-19 11:21:38] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
93.0
99.2
112.2
112.1
103.3
108.2
90.4
72.8
111.0
117.9
111.3
110.5
94.8
100.4
132.1
114.6
101.9
130.2
84.0
86.4
122.3
120.9
110.2
112.6
102.0
105.0
130.5
115.5
103.7
130.9
89.1
93.8
123.8
111.9
118.3
116.9
103.6
116.6
141.3
107.0
125.2
136.4
91.6
95.3
132.3
130.6
131.9
118.6
114.3
111.3
126.5
112.1
119.3
142.4
101.1
97.4
129.1
136.9
129.8
123.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35061&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35061&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35061&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.104716-0.72550.235837
2-0.030556-0.21170.416619
30.2410631.67010.050701
4-0.184291-1.27680.103906
5-0.117874-0.81670.209081
60.1512261.04770.150007
7-0.063778-0.44190.330284
80.0683290.47340.319038
9-0.097083-0.67260.25221
10-0.079416-0.55020.292363
110.0369230.25580.399596
12-0.312466-2.16480.017702
13-0.087022-0.60290.274705
14-0.011363-0.07870.468788
15-0.095535-0.66190.255604
16-0.100469-0.69610.244872
170.2089281.44750.077129
18-0.12167-0.8430.201717
19-0.120693-0.83620.203598
200.0691110.47880.317121
210.1247280.86410.195905
22-0.156827-1.08650.141336
230.2068471.43310.079159
240.0602610.41750.339087
25-0.039575-0.27420.392561
260.1269380.87950.191769
270.0369550.2560.399511
280.0702280.48660.314394
290.0472850.32760.372319
30-0.060766-0.4210.337817
310.1076660.74590.229673
320.011830.0820.467509
33-0.164529-1.13990.129995
340.1298260.89950.186449
35-0.118329-0.81980.208189
36-0.105356-0.72990.23449
370.0598030.41430.340241
38-0.052153-0.36130.359722
39-0.03612-0.25020.401733
400.0856750.59360.277793
41-0.067095-0.46490.32207
42-0.026194-0.18150.428378
430.0294680.20420.419544
44-0.03447-0.23880.406132
450.0122660.0850.466314
460.0042970.02980.488188
47-0.001306-0.00910.496408
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.104716 & -0.7255 & 0.235837 \tabularnewline
2 & -0.030556 & -0.2117 & 0.416619 \tabularnewline
3 & 0.241063 & 1.6701 & 0.050701 \tabularnewline
4 & -0.184291 & -1.2768 & 0.103906 \tabularnewline
5 & -0.117874 & -0.8167 & 0.209081 \tabularnewline
6 & 0.151226 & 1.0477 & 0.150007 \tabularnewline
7 & -0.063778 & -0.4419 & 0.330284 \tabularnewline
8 & 0.068329 & 0.4734 & 0.319038 \tabularnewline
9 & -0.097083 & -0.6726 & 0.25221 \tabularnewline
10 & -0.079416 & -0.5502 & 0.292363 \tabularnewline
11 & 0.036923 & 0.2558 & 0.399596 \tabularnewline
12 & -0.312466 & -2.1648 & 0.017702 \tabularnewline
13 & -0.087022 & -0.6029 & 0.274705 \tabularnewline
14 & -0.011363 & -0.0787 & 0.468788 \tabularnewline
15 & -0.095535 & -0.6619 & 0.255604 \tabularnewline
16 & -0.100469 & -0.6961 & 0.244872 \tabularnewline
17 & 0.208928 & 1.4475 & 0.077129 \tabularnewline
18 & -0.12167 & -0.843 & 0.201717 \tabularnewline
19 & -0.120693 & -0.8362 & 0.203598 \tabularnewline
20 & 0.069111 & 0.4788 & 0.317121 \tabularnewline
21 & 0.124728 & 0.8641 & 0.195905 \tabularnewline
22 & -0.156827 & -1.0865 & 0.141336 \tabularnewline
23 & 0.206847 & 1.4331 & 0.079159 \tabularnewline
24 & 0.060261 & 0.4175 & 0.339087 \tabularnewline
25 & -0.039575 & -0.2742 & 0.392561 \tabularnewline
26 & 0.126938 & 0.8795 & 0.191769 \tabularnewline
27 & 0.036955 & 0.256 & 0.399511 \tabularnewline
28 & 0.070228 & 0.4866 & 0.314394 \tabularnewline
29 & 0.047285 & 0.3276 & 0.372319 \tabularnewline
30 & -0.060766 & -0.421 & 0.337817 \tabularnewline
31 & 0.107666 & 0.7459 & 0.229673 \tabularnewline
32 & 0.01183 & 0.082 & 0.467509 \tabularnewline
33 & -0.164529 & -1.1399 & 0.129995 \tabularnewline
34 & 0.129826 & 0.8995 & 0.186449 \tabularnewline
35 & -0.118329 & -0.8198 & 0.208189 \tabularnewline
36 & -0.105356 & -0.7299 & 0.23449 \tabularnewline
37 & 0.059803 & 0.4143 & 0.340241 \tabularnewline
38 & -0.052153 & -0.3613 & 0.359722 \tabularnewline
39 & -0.03612 & -0.2502 & 0.401733 \tabularnewline
40 & 0.085675 & 0.5936 & 0.277793 \tabularnewline
41 & -0.067095 & -0.4649 & 0.32207 \tabularnewline
42 & -0.026194 & -0.1815 & 0.428378 \tabularnewline
43 & 0.029468 & 0.2042 & 0.419544 \tabularnewline
44 & -0.03447 & -0.2388 & 0.406132 \tabularnewline
45 & 0.012266 & 0.085 & 0.466314 \tabularnewline
46 & 0.004297 & 0.0298 & 0.488188 \tabularnewline
47 & -0.001306 & -0.0091 & 0.496408 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35061&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]-0.104716[/C][C]-0.7255[/C][C]0.235837[/C][/ROW]
[ROW][C]2[/C][C]-0.030556[/C][C]-0.2117[/C][C]0.416619[/C][/ROW]
[ROW][C]3[/C][C]0.241063[/C][C]1.6701[/C][C]0.050701[/C][/ROW]
[ROW][C]4[/C][C]-0.184291[/C][C]-1.2768[/C][C]0.103906[/C][/ROW]
[ROW][C]5[/C][C]-0.117874[/C][C]-0.8167[/C][C]0.209081[/C][/ROW]
[ROW][C]6[/C][C]0.151226[/C][C]1.0477[/C][C]0.150007[/C][/ROW]
[ROW][C]7[/C][C]-0.063778[/C][C]-0.4419[/C][C]0.330284[/C][/ROW]
[ROW][C]8[/C][C]0.068329[/C][C]0.4734[/C][C]0.319038[/C][/ROW]
[ROW][C]9[/C][C]-0.097083[/C][C]-0.6726[/C][C]0.25221[/C][/ROW]
[ROW][C]10[/C][C]-0.079416[/C][C]-0.5502[/C][C]0.292363[/C][/ROW]
[ROW][C]11[/C][C]0.036923[/C][C]0.2558[/C][C]0.399596[/C][/ROW]
[ROW][C]12[/C][C]-0.312466[/C][C]-2.1648[/C][C]0.017702[/C][/ROW]
[ROW][C]13[/C][C]-0.087022[/C][C]-0.6029[/C][C]0.274705[/C][/ROW]
[ROW][C]14[/C][C]-0.011363[/C][C]-0.0787[/C][C]0.468788[/C][/ROW]
[ROW][C]15[/C][C]-0.095535[/C][C]-0.6619[/C][C]0.255604[/C][/ROW]
[ROW][C]16[/C][C]-0.100469[/C][C]-0.6961[/C][C]0.244872[/C][/ROW]
[ROW][C]17[/C][C]0.208928[/C][C]1.4475[/C][C]0.077129[/C][/ROW]
[ROW][C]18[/C][C]-0.12167[/C][C]-0.843[/C][C]0.201717[/C][/ROW]
[ROW][C]19[/C][C]-0.120693[/C][C]-0.8362[/C][C]0.203598[/C][/ROW]
[ROW][C]20[/C][C]0.069111[/C][C]0.4788[/C][C]0.317121[/C][/ROW]
[ROW][C]21[/C][C]0.124728[/C][C]0.8641[/C][C]0.195905[/C][/ROW]
[ROW][C]22[/C][C]-0.156827[/C][C]-1.0865[/C][C]0.141336[/C][/ROW]
[ROW][C]23[/C][C]0.206847[/C][C]1.4331[/C][C]0.079159[/C][/ROW]
[ROW][C]24[/C][C]0.060261[/C][C]0.4175[/C][C]0.339087[/C][/ROW]
[ROW][C]25[/C][C]-0.039575[/C][C]-0.2742[/C][C]0.392561[/C][/ROW]
[ROW][C]26[/C][C]0.126938[/C][C]0.8795[/C][C]0.191769[/C][/ROW]
[ROW][C]27[/C][C]0.036955[/C][C]0.256[/C][C]0.399511[/C][/ROW]
[ROW][C]28[/C][C]0.070228[/C][C]0.4866[/C][C]0.314394[/C][/ROW]
[ROW][C]29[/C][C]0.047285[/C][C]0.3276[/C][C]0.372319[/C][/ROW]
[ROW][C]30[/C][C]-0.060766[/C][C]-0.421[/C][C]0.337817[/C][/ROW]
[ROW][C]31[/C][C]0.107666[/C][C]0.7459[/C][C]0.229673[/C][/ROW]
[ROW][C]32[/C][C]0.01183[/C][C]0.082[/C][C]0.467509[/C][/ROW]
[ROW][C]33[/C][C]-0.164529[/C][C]-1.1399[/C][C]0.129995[/C][/ROW]
[ROW][C]34[/C][C]0.129826[/C][C]0.8995[/C][C]0.186449[/C][/ROW]
[ROW][C]35[/C][C]-0.118329[/C][C]-0.8198[/C][C]0.208189[/C][/ROW]
[ROW][C]36[/C][C]-0.105356[/C][C]-0.7299[/C][C]0.23449[/C][/ROW]
[ROW][C]37[/C][C]0.059803[/C][C]0.4143[/C][C]0.340241[/C][/ROW]
[ROW][C]38[/C][C]-0.052153[/C][C]-0.3613[/C][C]0.359722[/C][/ROW]
[ROW][C]39[/C][C]-0.03612[/C][C]-0.2502[/C][C]0.401733[/C][/ROW]
[ROW][C]40[/C][C]0.085675[/C][C]0.5936[/C][C]0.277793[/C][/ROW]
[ROW][C]41[/C][C]-0.067095[/C][C]-0.4649[/C][C]0.32207[/C][/ROW]
[ROW][C]42[/C][C]-0.026194[/C][C]-0.1815[/C][C]0.428378[/C][/ROW]
[ROW][C]43[/C][C]0.029468[/C][C]0.2042[/C][C]0.419544[/C][/ROW]
[ROW][C]44[/C][C]-0.03447[/C][C]-0.2388[/C][C]0.406132[/C][/ROW]
[ROW][C]45[/C][C]0.012266[/C][C]0.085[/C][C]0.466314[/C][/ROW]
[ROW][C]46[/C][C]0.004297[/C][C]0.0298[/C][C]0.488188[/C][/ROW]
[ROW][C]47[/C][C]-0.001306[/C][C]-0.0091[/C][C]0.496408[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35061&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35061&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
1-0.104716-0.72550.235837
2-0.030556-0.21170.416619
30.2410631.67010.050701
4-0.184291-1.27680.103906
5-0.117874-0.81670.209081
60.1512261.04770.150007
7-0.063778-0.44190.330284
80.0683290.47340.319038
9-0.097083-0.67260.25221
10-0.079416-0.55020.292363
110.0369230.25580.399596
12-0.312466-2.16480.017702
13-0.087022-0.60290.274705
14-0.011363-0.07870.468788
15-0.095535-0.66190.255604
16-0.100469-0.69610.244872
170.2089281.44750.077129
18-0.12167-0.8430.201717
19-0.120693-0.83620.203598
200.0691110.47880.317121
210.1247280.86410.195905
22-0.156827-1.08650.141336
230.2068471.43310.079159
240.0602610.41750.339087
25-0.039575-0.27420.392561
260.1269380.87950.191769
270.0369550.2560.399511
280.0702280.48660.314394
290.0472850.32760.372319
30-0.060766-0.4210.337817
310.1076660.74590.229673
320.011830.0820.467509
33-0.164529-1.13990.129995
340.1298260.89950.186449
35-0.118329-0.81980.208189
36-0.105356-0.72990.23449
370.0598030.41430.340241
38-0.052153-0.36130.359722
39-0.03612-0.25020.401733
400.0856750.59360.277793
41-0.067095-0.46490.32207
42-0.026194-0.18150.428378
430.0294680.20420.419544
44-0.03447-0.23880.406132
450.0122660.0850.466314
460.0042970.02980.488188
47-0.001306-0.00910.496408
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.104716-0.72550.235837
2-0.041982-0.29090.386206
30.2363361.63740.054045
4-0.146036-1.01180.158361
5-0.146703-1.01640.157271
60.0792220.54890.292821
70.0333130.23080.409226
80.104890.72670.235469
9-0.202581-1.40350.083449
10-0.088683-0.61440.270922
110.0315340.21850.413992
12-0.272662-1.88910.032467
13-0.156386-1.08350.142005
14-0.155324-1.07610.143628
150.0444630.30810.379688
16-0.189867-1.31540.097306
170.1050510.72780.235131
18-0.106068-0.73490.232999
19-0.163696-1.13410.131188
20-0.042865-0.2970.383882
210.1478831.02460.155353
22-0.150536-1.04290.151099
230.0295570.20480.419307
24-0.094977-0.6580.256835
25-0.013382-0.09270.463258
260.0240850.16690.434088
27-0.013671-0.09470.462468
280.0217140.15040.440523
290.0282090.19540.422937
30-0.044033-0.30510.380817
310.0265670.18410.427369
32-0.016458-0.1140.454847
33-0.007931-0.0550.478203
34-0.076826-0.53230.298498
35-0.012506-0.08660.465658
36-0.011502-0.07970.468407
370.0022950.01590.493691
38-0.079558-0.55120.292028
390.1320160.91460.182477
400.0880030.60970.272468
410.043550.30170.382083
42-0.072679-0.50350.308445
430.1136670.78750.217428
44-0.002252-0.01560.493807
450.0251920.17450.43109
46-0.054279-0.37610.354267
470.0085170.0590.476595
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.104716 & -0.7255 & 0.235837 \tabularnewline
2 & -0.041982 & -0.2909 & 0.386206 \tabularnewline
3 & 0.236336 & 1.6374 & 0.054045 \tabularnewline
4 & -0.146036 & -1.0118 & 0.158361 \tabularnewline
5 & -0.146703 & -1.0164 & 0.157271 \tabularnewline
6 & 0.079222 & 0.5489 & 0.292821 \tabularnewline
7 & 0.033313 & 0.2308 & 0.409226 \tabularnewline
8 & 0.10489 & 0.7267 & 0.235469 \tabularnewline
9 & -0.202581 & -1.4035 & 0.083449 \tabularnewline
10 & -0.088683 & -0.6144 & 0.270922 \tabularnewline
11 & 0.031534 & 0.2185 & 0.413992 \tabularnewline
12 & -0.272662 & -1.8891 & 0.032467 \tabularnewline
13 & -0.156386 & -1.0835 & 0.142005 \tabularnewline
14 & -0.155324 & -1.0761 & 0.143628 \tabularnewline
15 & 0.044463 & 0.3081 & 0.379688 \tabularnewline
16 & -0.189867 & -1.3154 & 0.097306 \tabularnewline
17 & 0.105051 & 0.7278 & 0.235131 \tabularnewline
18 & -0.106068 & -0.7349 & 0.232999 \tabularnewline
19 & -0.163696 & -1.1341 & 0.131188 \tabularnewline
20 & -0.042865 & -0.297 & 0.383882 \tabularnewline
21 & 0.147883 & 1.0246 & 0.155353 \tabularnewline
22 & -0.150536 & -1.0429 & 0.151099 \tabularnewline
23 & 0.029557 & 0.2048 & 0.419307 \tabularnewline
24 & -0.094977 & -0.658 & 0.256835 \tabularnewline
25 & -0.013382 & -0.0927 & 0.463258 \tabularnewline
26 & 0.024085 & 0.1669 & 0.434088 \tabularnewline
27 & -0.013671 & -0.0947 & 0.462468 \tabularnewline
28 & 0.021714 & 0.1504 & 0.440523 \tabularnewline
29 & 0.028209 & 0.1954 & 0.422937 \tabularnewline
30 & -0.044033 & -0.3051 & 0.380817 \tabularnewline
31 & 0.026567 & 0.1841 & 0.427369 \tabularnewline
32 & -0.016458 & -0.114 & 0.454847 \tabularnewline
33 & -0.007931 & -0.055 & 0.478203 \tabularnewline
34 & -0.076826 & -0.5323 & 0.298498 \tabularnewline
35 & -0.012506 & -0.0866 & 0.465658 \tabularnewline
36 & -0.011502 & -0.0797 & 0.468407 \tabularnewline
37 & 0.002295 & 0.0159 & 0.493691 \tabularnewline
38 & -0.079558 & -0.5512 & 0.292028 \tabularnewline
39 & 0.132016 & 0.9146 & 0.182477 \tabularnewline
40 & 0.088003 & 0.6097 & 0.272468 \tabularnewline
41 & 0.04355 & 0.3017 & 0.382083 \tabularnewline
42 & -0.072679 & -0.5035 & 0.308445 \tabularnewline
43 & 0.113667 & 0.7875 & 0.217428 \tabularnewline
44 & -0.002252 & -0.0156 & 0.493807 \tabularnewline
45 & 0.025192 & 0.1745 & 0.43109 \tabularnewline
46 & -0.054279 & -0.3761 & 0.354267 \tabularnewline
47 & 0.008517 & 0.059 & 0.476595 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35061&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]-0.104716[/C][C]-0.7255[/C][C]0.235837[/C][/ROW]
[ROW][C]2[/C][C]-0.041982[/C][C]-0.2909[/C][C]0.386206[/C][/ROW]
[ROW][C]3[/C][C]0.236336[/C][C]1.6374[/C][C]0.054045[/C][/ROW]
[ROW][C]4[/C][C]-0.146036[/C][C]-1.0118[/C][C]0.158361[/C][/ROW]
[ROW][C]5[/C][C]-0.146703[/C][C]-1.0164[/C][C]0.157271[/C][/ROW]
[ROW][C]6[/C][C]0.079222[/C][C]0.5489[/C][C]0.292821[/C][/ROW]
[ROW][C]7[/C][C]0.033313[/C][C]0.2308[/C][C]0.409226[/C][/ROW]
[ROW][C]8[/C][C]0.10489[/C][C]0.7267[/C][C]0.235469[/C][/ROW]
[ROW][C]9[/C][C]-0.202581[/C][C]-1.4035[/C][C]0.083449[/C][/ROW]
[ROW][C]10[/C][C]-0.088683[/C][C]-0.6144[/C][C]0.270922[/C][/ROW]
[ROW][C]11[/C][C]0.031534[/C][C]0.2185[/C][C]0.413992[/C][/ROW]
[ROW][C]12[/C][C]-0.272662[/C][C]-1.8891[/C][C]0.032467[/C][/ROW]
[ROW][C]13[/C][C]-0.156386[/C][C]-1.0835[/C][C]0.142005[/C][/ROW]
[ROW][C]14[/C][C]-0.155324[/C][C]-1.0761[/C][C]0.143628[/C][/ROW]
[ROW][C]15[/C][C]0.044463[/C][C]0.3081[/C][C]0.379688[/C][/ROW]
[ROW][C]16[/C][C]-0.189867[/C][C]-1.3154[/C][C]0.097306[/C][/ROW]
[ROW][C]17[/C][C]0.105051[/C][C]0.7278[/C][C]0.235131[/C][/ROW]
[ROW][C]18[/C][C]-0.106068[/C][C]-0.7349[/C][C]0.232999[/C][/ROW]
[ROW][C]19[/C][C]-0.163696[/C][C]-1.1341[/C][C]0.131188[/C][/ROW]
[ROW][C]20[/C][C]-0.042865[/C][C]-0.297[/C][C]0.383882[/C][/ROW]
[ROW][C]21[/C][C]0.147883[/C][C]1.0246[/C][C]0.155353[/C][/ROW]
[ROW][C]22[/C][C]-0.150536[/C][C]-1.0429[/C][C]0.151099[/C][/ROW]
[ROW][C]23[/C][C]0.029557[/C][C]0.2048[/C][C]0.419307[/C][/ROW]
[ROW][C]24[/C][C]-0.094977[/C][C]-0.658[/C][C]0.256835[/C][/ROW]
[ROW][C]25[/C][C]-0.013382[/C][C]-0.0927[/C][C]0.463258[/C][/ROW]
[ROW][C]26[/C][C]0.024085[/C][C]0.1669[/C][C]0.434088[/C][/ROW]
[ROW][C]27[/C][C]-0.013671[/C][C]-0.0947[/C][C]0.462468[/C][/ROW]
[ROW][C]28[/C][C]0.021714[/C][C]0.1504[/C][C]0.440523[/C][/ROW]
[ROW][C]29[/C][C]0.028209[/C][C]0.1954[/C][C]0.422937[/C][/ROW]
[ROW][C]30[/C][C]-0.044033[/C][C]-0.3051[/C][C]0.380817[/C][/ROW]
[ROW][C]31[/C][C]0.026567[/C][C]0.1841[/C][C]0.427369[/C][/ROW]
[ROW][C]32[/C][C]-0.016458[/C][C]-0.114[/C][C]0.454847[/C][/ROW]
[ROW][C]33[/C][C]-0.007931[/C][C]-0.055[/C][C]0.478203[/C][/ROW]
[ROW][C]34[/C][C]-0.076826[/C][C]-0.5323[/C][C]0.298498[/C][/ROW]
[ROW][C]35[/C][C]-0.012506[/C][C]-0.0866[/C][C]0.465658[/C][/ROW]
[ROW][C]36[/C][C]-0.011502[/C][C]-0.0797[/C][C]0.468407[/C][/ROW]
[ROW][C]37[/C][C]0.002295[/C][C]0.0159[/C][C]0.493691[/C][/ROW]
[ROW][C]38[/C][C]-0.079558[/C][C]-0.5512[/C][C]0.292028[/C][/ROW]
[ROW][C]39[/C][C]0.132016[/C][C]0.9146[/C][C]0.182477[/C][/ROW]
[ROW][C]40[/C][C]0.088003[/C][C]0.6097[/C][C]0.272468[/C][/ROW]
[ROW][C]41[/C][C]0.04355[/C][C]0.3017[/C][C]0.382083[/C][/ROW]
[ROW][C]42[/C][C]-0.072679[/C][C]-0.5035[/C][C]0.308445[/C][/ROW]
[ROW][C]43[/C][C]0.113667[/C][C]0.7875[/C][C]0.217428[/C][/ROW]
[ROW][C]44[/C][C]-0.002252[/C][C]-0.0156[/C][C]0.493807[/C][/ROW]
[ROW][C]45[/C][C]0.025192[/C][C]0.1745[/C][C]0.43109[/C][/ROW]
[ROW][C]46[/C][C]-0.054279[/C][C]-0.3761[/C][C]0.354267[/C][/ROW]
[ROW][C]47[/C][C]0.008517[/C][C]0.059[/C][C]0.476595[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35061&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35061&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
1-0.104716-0.72550.235837
2-0.041982-0.29090.386206
30.2363361.63740.054045
4-0.146036-1.01180.158361
5-0.146703-1.01640.157271
60.0792220.54890.292821
70.0333130.23080.409226
80.104890.72670.235469
9-0.202581-1.40350.083449
10-0.088683-0.61440.270922
110.0315340.21850.413992
12-0.272662-1.88910.032467
13-0.156386-1.08350.142005
14-0.155324-1.07610.143628
150.0444630.30810.379688
16-0.189867-1.31540.097306
170.1050510.72780.235131
18-0.106068-0.73490.232999
19-0.163696-1.13410.131188
20-0.042865-0.2970.383882
210.1478831.02460.155353
22-0.150536-1.04290.151099
230.0295570.20480.419307
24-0.094977-0.6580.256835
25-0.013382-0.09270.463258
260.0240850.16690.434088
27-0.013671-0.09470.462468
280.0217140.15040.440523
290.0282090.19540.422937
30-0.044033-0.30510.380817
310.0265670.18410.427369
32-0.016458-0.1140.454847
33-0.007931-0.0550.478203
34-0.076826-0.53230.298498
35-0.012506-0.08660.465658
36-0.011502-0.07970.468407
370.0022950.01590.493691
38-0.079558-0.55120.292028
390.1320160.91460.182477
400.0880030.60970.272468
410.043550.30170.382083
42-0.072679-0.50350.308445
430.1136670.78750.217428
44-0.002252-0.01560.493807
450.0251920.17450.43109
46-0.054279-0.37610.354267
470.0085170.0590.476595
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; par3 = 0 ; 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')