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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 05 Jun 2009 09:33:18 -0600
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/Jun/05/t1244216154vrloqhijj16dxsu.htm/, Retrieved Thu, 09 May 2024 21:18:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41875, Retrieved Thu, 09 May 2024 21:18:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Jurgen Leemans - ...] [2009-06-05 15:33:18] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
163.40
162.89
162.29
161.26
161.43
161.44
161.44
161.44
161.92
162.23
161.89
161.40
161.40
159.55
158.93
158.59
158.29
158.03
158.03
163.94
164.36
164.39
163.22
163.22
163.56
162.82
162.80
162.44
161.98
161.53
161.53
161.52
162.07
161.84
161.54
161.47
161.47
161.54
161.57
160.75
160.31
160.57
160.57
159.65
158.76
158.95
159.25
158.72
158.72
158.72
158.53
157.92
157.89
157.81
157.81
157.88
157.52
156.11
155.61
155.31
155.31
155.31
153.09
151.94
151.73
151.65
151.65
151.09
149.94
149.47
149.15
149.22




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=41875&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=41875&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41875&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9226317.82880
20.8364747.09770
30.7548666.40530
40.6857395.81870
50.623515.29071e-06
60.5618824.76775e-06
70.5080164.31072.5e-05
80.4531413.8450.000129
90.3998943.39320.000563
100.356593.02580.001719
110.3308022.80690.003215
120.2985512.53330.006739
130.2600462.20660.015267
140.2254521.9130.029861
150.1949011.65380.051262
160.1751051.48580.070847
170.163781.38970.084448
180.1542951.30920.097308
190.143161.21470.114215
200.1067760.9060.183972
210.0713430.60540.273419
220.0422160.35820.360616
230.0149070.12650.449849
24-0.015625-0.13260.447447
25-0.045587-0.38680.350015
26-0.06585-0.55880.28903
27-0.092786-0.78730.216842
28-0.122875-1.04260.150304
29-0.143624-1.21870.113469
30-0.158403-1.34410.09157
31-0.175158-1.48630.070787
32-0.194208-1.64790.051865
33-0.209415-1.77690.0399
34-0.218082-1.85050.034173
35-0.228634-1.940.028147
36-0.241496-2.04920.022045
37-0.255985-2.17210.016571
38-0.271289-2.3020.012116
39-0.278038-2.35920.010514
40-0.277324-2.35320.010674
41-0.282711-2.39890.009518
42-0.292866-2.48510.007639
43-0.304286-2.5820.005929
44-0.298195-2.53030.006792
45-0.281337-2.38720.009802
46-0.263333-2.23450.014279
47-0.249227-2.11480.018956
48-0.228567-1.93950.028182

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.922631 & 7.8288 & 0 \tabularnewline
2 & 0.836474 & 7.0977 & 0 \tabularnewline
3 & 0.754866 & 6.4053 & 0 \tabularnewline
4 & 0.685739 & 5.8187 & 0 \tabularnewline
5 & 0.62351 & 5.2907 & 1e-06 \tabularnewline
6 & 0.561882 & 4.7677 & 5e-06 \tabularnewline
7 & 0.508016 & 4.3107 & 2.5e-05 \tabularnewline
8 & 0.453141 & 3.845 & 0.000129 \tabularnewline
9 & 0.399894 & 3.3932 & 0.000563 \tabularnewline
10 & 0.35659 & 3.0258 & 0.001719 \tabularnewline
11 & 0.330802 & 2.8069 & 0.003215 \tabularnewline
12 & 0.298551 & 2.5333 & 0.006739 \tabularnewline
13 & 0.260046 & 2.2066 & 0.015267 \tabularnewline
14 & 0.225452 & 1.913 & 0.029861 \tabularnewline
15 & 0.194901 & 1.6538 & 0.051262 \tabularnewline
16 & 0.175105 & 1.4858 & 0.070847 \tabularnewline
17 & 0.16378 & 1.3897 & 0.084448 \tabularnewline
18 & 0.154295 & 1.3092 & 0.097308 \tabularnewline
19 & 0.14316 & 1.2147 & 0.114215 \tabularnewline
20 & 0.106776 & 0.906 & 0.183972 \tabularnewline
21 & 0.071343 & 0.6054 & 0.273419 \tabularnewline
22 & 0.042216 & 0.3582 & 0.360616 \tabularnewline
23 & 0.014907 & 0.1265 & 0.449849 \tabularnewline
24 & -0.015625 & -0.1326 & 0.447447 \tabularnewline
25 & -0.045587 & -0.3868 & 0.350015 \tabularnewline
26 & -0.06585 & -0.5588 & 0.28903 \tabularnewline
27 & -0.092786 & -0.7873 & 0.216842 \tabularnewline
28 & -0.122875 & -1.0426 & 0.150304 \tabularnewline
29 & -0.143624 & -1.2187 & 0.113469 \tabularnewline
30 & -0.158403 & -1.3441 & 0.09157 \tabularnewline
31 & -0.175158 & -1.4863 & 0.070787 \tabularnewline
32 & -0.194208 & -1.6479 & 0.051865 \tabularnewline
33 & -0.209415 & -1.7769 & 0.0399 \tabularnewline
34 & -0.218082 & -1.8505 & 0.034173 \tabularnewline
35 & -0.228634 & -1.94 & 0.028147 \tabularnewline
36 & -0.241496 & -2.0492 & 0.022045 \tabularnewline
37 & -0.255985 & -2.1721 & 0.016571 \tabularnewline
38 & -0.271289 & -2.302 & 0.012116 \tabularnewline
39 & -0.278038 & -2.3592 & 0.010514 \tabularnewline
40 & -0.277324 & -2.3532 & 0.010674 \tabularnewline
41 & -0.282711 & -2.3989 & 0.009518 \tabularnewline
42 & -0.292866 & -2.4851 & 0.007639 \tabularnewline
43 & -0.304286 & -2.582 & 0.005929 \tabularnewline
44 & -0.298195 & -2.5303 & 0.006792 \tabularnewline
45 & -0.281337 & -2.3872 & 0.009802 \tabularnewline
46 & -0.263333 & -2.2345 & 0.014279 \tabularnewline
47 & -0.249227 & -2.1148 & 0.018956 \tabularnewline
48 & -0.228567 & -1.9395 & 0.028182 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41875&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]0.922631[/C][C]7.8288[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.836474[/C][C]7.0977[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.754866[/C][C]6.4053[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.685739[/C][C]5.8187[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.62351[/C][C]5.2907[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.561882[/C][C]4.7677[/C][C]5e-06[/C][/ROW]
[ROW][C]7[/C][C]0.508016[/C][C]4.3107[/C][C]2.5e-05[/C][/ROW]
[ROW][C]8[/C][C]0.453141[/C][C]3.845[/C][C]0.000129[/C][/ROW]
[ROW][C]9[/C][C]0.399894[/C][C]3.3932[/C][C]0.000563[/C][/ROW]
[ROW][C]10[/C][C]0.35659[/C][C]3.0258[/C][C]0.001719[/C][/ROW]
[ROW][C]11[/C][C]0.330802[/C][C]2.8069[/C][C]0.003215[/C][/ROW]
[ROW][C]12[/C][C]0.298551[/C][C]2.5333[/C][C]0.006739[/C][/ROW]
[ROW][C]13[/C][C]0.260046[/C][C]2.2066[/C][C]0.015267[/C][/ROW]
[ROW][C]14[/C][C]0.225452[/C][C]1.913[/C][C]0.029861[/C][/ROW]
[ROW][C]15[/C][C]0.194901[/C][C]1.6538[/C][C]0.051262[/C][/ROW]
[ROW][C]16[/C][C]0.175105[/C][C]1.4858[/C][C]0.070847[/C][/ROW]
[ROW][C]17[/C][C]0.16378[/C][C]1.3897[/C][C]0.084448[/C][/ROW]
[ROW][C]18[/C][C]0.154295[/C][C]1.3092[/C][C]0.097308[/C][/ROW]
[ROW][C]19[/C][C]0.14316[/C][C]1.2147[/C][C]0.114215[/C][/ROW]
[ROW][C]20[/C][C]0.106776[/C][C]0.906[/C][C]0.183972[/C][/ROW]
[ROW][C]21[/C][C]0.071343[/C][C]0.6054[/C][C]0.273419[/C][/ROW]
[ROW][C]22[/C][C]0.042216[/C][C]0.3582[/C][C]0.360616[/C][/ROW]
[ROW][C]23[/C][C]0.014907[/C][C]0.1265[/C][C]0.449849[/C][/ROW]
[ROW][C]24[/C][C]-0.015625[/C][C]-0.1326[/C][C]0.447447[/C][/ROW]
[ROW][C]25[/C][C]-0.045587[/C][C]-0.3868[/C][C]0.350015[/C][/ROW]
[ROW][C]26[/C][C]-0.06585[/C][C]-0.5588[/C][C]0.28903[/C][/ROW]
[ROW][C]27[/C][C]-0.092786[/C][C]-0.7873[/C][C]0.216842[/C][/ROW]
[ROW][C]28[/C][C]-0.122875[/C][C]-1.0426[/C][C]0.150304[/C][/ROW]
[ROW][C]29[/C][C]-0.143624[/C][C]-1.2187[/C][C]0.113469[/C][/ROW]
[ROW][C]30[/C][C]-0.158403[/C][C]-1.3441[/C][C]0.09157[/C][/ROW]
[ROW][C]31[/C][C]-0.175158[/C][C]-1.4863[/C][C]0.070787[/C][/ROW]
[ROW][C]32[/C][C]-0.194208[/C][C]-1.6479[/C][C]0.051865[/C][/ROW]
[ROW][C]33[/C][C]-0.209415[/C][C]-1.7769[/C][C]0.0399[/C][/ROW]
[ROW][C]34[/C][C]-0.218082[/C][C]-1.8505[/C][C]0.034173[/C][/ROW]
[ROW][C]35[/C][C]-0.228634[/C][C]-1.94[/C][C]0.028147[/C][/ROW]
[ROW][C]36[/C][C]-0.241496[/C][C]-2.0492[/C][C]0.022045[/C][/ROW]
[ROW][C]37[/C][C]-0.255985[/C][C]-2.1721[/C][C]0.016571[/C][/ROW]
[ROW][C]38[/C][C]-0.271289[/C][C]-2.302[/C][C]0.012116[/C][/ROW]
[ROW][C]39[/C][C]-0.278038[/C][C]-2.3592[/C][C]0.010514[/C][/ROW]
[ROW][C]40[/C][C]-0.277324[/C][C]-2.3532[/C][C]0.010674[/C][/ROW]
[ROW][C]41[/C][C]-0.282711[/C][C]-2.3989[/C][C]0.009518[/C][/ROW]
[ROW][C]42[/C][C]-0.292866[/C][C]-2.4851[/C][C]0.007639[/C][/ROW]
[ROW][C]43[/C][C]-0.304286[/C][C]-2.582[/C][C]0.005929[/C][/ROW]
[ROW][C]44[/C][C]-0.298195[/C][C]-2.5303[/C][C]0.006792[/C][/ROW]
[ROW][C]45[/C][C]-0.281337[/C][C]-2.3872[/C][C]0.009802[/C][/ROW]
[ROW][C]46[/C][C]-0.263333[/C][C]-2.2345[/C][C]0.014279[/C][/ROW]
[ROW][C]47[/C][C]-0.249227[/C][C]-2.1148[/C][C]0.018956[/C][/ROW]
[ROW][C]48[/C][C]-0.228567[/C][C]-1.9395[/C][C]0.028182[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41875&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41875&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
10.9226317.82880
20.8364747.09770
30.7548666.40530
40.6857395.81870
50.623515.29071e-06
60.5618824.76775e-06
70.5080164.31072.5e-05
80.4531413.8450.000129
90.3998943.39320.000563
100.356593.02580.001719
110.3308022.80690.003215
120.2985512.53330.006739
130.2600462.20660.015267
140.2254521.9130.029861
150.1949011.65380.051262
160.1751051.48580.070847
170.163781.38970.084448
180.1542951.30920.097308
190.143161.21470.114215
200.1067760.9060.183972
210.0713430.60540.273419
220.0422160.35820.360616
230.0149070.12650.449849
24-0.015625-0.13260.447447
25-0.045587-0.38680.350015
26-0.06585-0.55880.28903
27-0.092786-0.78730.216842
28-0.122875-1.04260.150304
29-0.143624-1.21870.113469
30-0.158403-1.34410.09157
31-0.175158-1.48630.070787
32-0.194208-1.64790.051865
33-0.209415-1.77690.0399
34-0.218082-1.85050.034173
35-0.228634-1.940.028147
36-0.241496-2.04920.022045
37-0.255985-2.17210.016571
38-0.271289-2.3020.012116
39-0.278038-2.35920.010514
40-0.277324-2.35320.010674
41-0.282711-2.39890.009518
42-0.292866-2.48510.007639
43-0.304286-2.5820.005929
44-0.298195-2.53030.006792
45-0.281337-2.38720.009802
46-0.263333-2.23450.014279
47-0.249227-2.11480.018956
48-0.228567-1.93950.028182







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9226317.82880
2-0.099319-0.84280.201079
3-0.012941-0.10980.456434
40.0347170.29460.384579
5-0.002872-0.02440.490314
6-0.035648-0.30250.381577
70.0201570.1710.432337
8-0.043988-0.37330.355028
9-0.022426-0.19030.424809
100.035240.2990.382892
110.0808150.68570.247541
12-0.07887-0.66920.252743
13-0.048304-0.40990.341559
140.0173270.1470.44176
15-0.005908-0.05010.480079
160.0410630.34840.364266
170.042620.36160.359339
18-0.010358-0.08790.465103
19-0.014773-0.12540.450297
20-0.161239-1.36820.087758
210.0073990.06280.475057
22-0.000978-0.00830.496699
23-0.037329-0.31670.376178
24-0.045276-0.38420.35099
25-0.008298-0.07040.472031
260.0357670.30350.381194
27-0.075695-0.64230.26136
28-0.051902-0.44040.330483
290.0281450.23880.405963
30-0.027916-0.23690.406714
31-0.02224-0.18870.425424
32-0.009066-0.07690.469447
33-0.01266-0.10740.457376
340.0029020.02460.490211
35-0.047666-0.40450.343537
36-0.039629-0.33630.368824
37-0.050746-0.43060.334024
38-0.034921-0.29630.383922
390.072720.6170.269574
400.0114570.09720.461413
41-0.085657-0.72680.234845
42-0.04168-0.35370.362312
43-0.015867-0.13460.446637
440.0984290.83520.203184
450.0198340.16830.43341
460.0079040.06710.473356
47-0.014544-0.12340.451064
480.0394970.33510.369247

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.922631 & 7.8288 & 0 \tabularnewline
2 & -0.099319 & -0.8428 & 0.201079 \tabularnewline
3 & -0.012941 & -0.1098 & 0.456434 \tabularnewline
4 & 0.034717 & 0.2946 & 0.384579 \tabularnewline
5 & -0.002872 & -0.0244 & 0.490314 \tabularnewline
6 & -0.035648 & -0.3025 & 0.381577 \tabularnewline
7 & 0.020157 & 0.171 & 0.432337 \tabularnewline
8 & -0.043988 & -0.3733 & 0.355028 \tabularnewline
9 & -0.022426 & -0.1903 & 0.424809 \tabularnewline
10 & 0.03524 & 0.299 & 0.382892 \tabularnewline
11 & 0.080815 & 0.6857 & 0.247541 \tabularnewline
12 & -0.07887 & -0.6692 & 0.252743 \tabularnewline
13 & -0.048304 & -0.4099 & 0.341559 \tabularnewline
14 & 0.017327 & 0.147 & 0.44176 \tabularnewline
15 & -0.005908 & -0.0501 & 0.480079 \tabularnewline
16 & 0.041063 & 0.3484 & 0.364266 \tabularnewline
17 & 0.04262 & 0.3616 & 0.359339 \tabularnewline
18 & -0.010358 & -0.0879 & 0.465103 \tabularnewline
19 & -0.014773 & -0.1254 & 0.450297 \tabularnewline
20 & -0.161239 & -1.3682 & 0.087758 \tabularnewline
21 & 0.007399 & 0.0628 & 0.475057 \tabularnewline
22 & -0.000978 & -0.0083 & 0.496699 \tabularnewline
23 & -0.037329 & -0.3167 & 0.376178 \tabularnewline
24 & -0.045276 & -0.3842 & 0.35099 \tabularnewline
25 & -0.008298 & -0.0704 & 0.472031 \tabularnewline
26 & 0.035767 & 0.3035 & 0.381194 \tabularnewline
27 & -0.075695 & -0.6423 & 0.26136 \tabularnewline
28 & -0.051902 & -0.4404 & 0.330483 \tabularnewline
29 & 0.028145 & 0.2388 & 0.405963 \tabularnewline
30 & -0.027916 & -0.2369 & 0.406714 \tabularnewline
31 & -0.02224 & -0.1887 & 0.425424 \tabularnewline
32 & -0.009066 & -0.0769 & 0.469447 \tabularnewline
33 & -0.01266 & -0.1074 & 0.457376 \tabularnewline
34 & 0.002902 & 0.0246 & 0.490211 \tabularnewline
35 & -0.047666 & -0.4045 & 0.343537 \tabularnewline
36 & -0.039629 & -0.3363 & 0.368824 \tabularnewline
37 & -0.050746 & -0.4306 & 0.334024 \tabularnewline
38 & -0.034921 & -0.2963 & 0.383922 \tabularnewline
39 & 0.07272 & 0.617 & 0.269574 \tabularnewline
40 & 0.011457 & 0.0972 & 0.461413 \tabularnewline
41 & -0.085657 & -0.7268 & 0.234845 \tabularnewline
42 & -0.04168 & -0.3537 & 0.362312 \tabularnewline
43 & -0.015867 & -0.1346 & 0.446637 \tabularnewline
44 & 0.098429 & 0.8352 & 0.203184 \tabularnewline
45 & 0.019834 & 0.1683 & 0.43341 \tabularnewline
46 & 0.007904 & 0.0671 & 0.473356 \tabularnewline
47 & -0.014544 & -0.1234 & 0.451064 \tabularnewline
48 & 0.039497 & 0.3351 & 0.369247 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41875&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]0.922631[/C][C]7.8288[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.099319[/C][C]-0.8428[/C][C]0.201079[/C][/ROW]
[ROW][C]3[/C][C]-0.012941[/C][C]-0.1098[/C][C]0.456434[/C][/ROW]
[ROW][C]4[/C][C]0.034717[/C][C]0.2946[/C][C]0.384579[/C][/ROW]
[ROW][C]5[/C][C]-0.002872[/C][C]-0.0244[/C][C]0.490314[/C][/ROW]
[ROW][C]6[/C][C]-0.035648[/C][C]-0.3025[/C][C]0.381577[/C][/ROW]
[ROW][C]7[/C][C]0.020157[/C][C]0.171[/C][C]0.432337[/C][/ROW]
[ROW][C]8[/C][C]-0.043988[/C][C]-0.3733[/C][C]0.355028[/C][/ROW]
[ROW][C]9[/C][C]-0.022426[/C][C]-0.1903[/C][C]0.424809[/C][/ROW]
[ROW][C]10[/C][C]0.03524[/C][C]0.299[/C][C]0.382892[/C][/ROW]
[ROW][C]11[/C][C]0.080815[/C][C]0.6857[/C][C]0.247541[/C][/ROW]
[ROW][C]12[/C][C]-0.07887[/C][C]-0.6692[/C][C]0.252743[/C][/ROW]
[ROW][C]13[/C][C]-0.048304[/C][C]-0.4099[/C][C]0.341559[/C][/ROW]
[ROW][C]14[/C][C]0.017327[/C][C]0.147[/C][C]0.44176[/C][/ROW]
[ROW][C]15[/C][C]-0.005908[/C][C]-0.0501[/C][C]0.480079[/C][/ROW]
[ROW][C]16[/C][C]0.041063[/C][C]0.3484[/C][C]0.364266[/C][/ROW]
[ROW][C]17[/C][C]0.04262[/C][C]0.3616[/C][C]0.359339[/C][/ROW]
[ROW][C]18[/C][C]-0.010358[/C][C]-0.0879[/C][C]0.465103[/C][/ROW]
[ROW][C]19[/C][C]-0.014773[/C][C]-0.1254[/C][C]0.450297[/C][/ROW]
[ROW][C]20[/C][C]-0.161239[/C][C]-1.3682[/C][C]0.087758[/C][/ROW]
[ROW][C]21[/C][C]0.007399[/C][C]0.0628[/C][C]0.475057[/C][/ROW]
[ROW][C]22[/C][C]-0.000978[/C][C]-0.0083[/C][C]0.496699[/C][/ROW]
[ROW][C]23[/C][C]-0.037329[/C][C]-0.3167[/C][C]0.376178[/C][/ROW]
[ROW][C]24[/C][C]-0.045276[/C][C]-0.3842[/C][C]0.35099[/C][/ROW]
[ROW][C]25[/C][C]-0.008298[/C][C]-0.0704[/C][C]0.472031[/C][/ROW]
[ROW][C]26[/C][C]0.035767[/C][C]0.3035[/C][C]0.381194[/C][/ROW]
[ROW][C]27[/C][C]-0.075695[/C][C]-0.6423[/C][C]0.26136[/C][/ROW]
[ROW][C]28[/C][C]-0.051902[/C][C]-0.4404[/C][C]0.330483[/C][/ROW]
[ROW][C]29[/C][C]0.028145[/C][C]0.2388[/C][C]0.405963[/C][/ROW]
[ROW][C]30[/C][C]-0.027916[/C][C]-0.2369[/C][C]0.406714[/C][/ROW]
[ROW][C]31[/C][C]-0.02224[/C][C]-0.1887[/C][C]0.425424[/C][/ROW]
[ROW][C]32[/C][C]-0.009066[/C][C]-0.0769[/C][C]0.469447[/C][/ROW]
[ROW][C]33[/C][C]-0.01266[/C][C]-0.1074[/C][C]0.457376[/C][/ROW]
[ROW][C]34[/C][C]0.002902[/C][C]0.0246[/C][C]0.490211[/C][/ROW]
[ROW][C]35[/C][C]-0.047666[/C][C]-0.4045[/C][C]0.343537[/C][/ROW]
[ROW][C]36[/C][C]-0.039629[/C][C]-0.3363[/C][C]0.368824[/C][/ROW]
[ROW][C]37[/C][C]-0.050746[/C][C]-0.4306[/C][C]0.334024[/C][/ROW]
[ROW][C]38[/C][C]-0.034921[/C][C]-0.2963[/C][C]0.383922[/C][/ROW]
[ROW][C]39[/C][C]0.07272[/C][C]0.617[/C][C]0.269574[/C][/ROW]
[ROW][C]40[/C][C]0.011457[/C][C]0.0972[/C][C]0.461413[/C][/ROW]
[ROW][C]41[/C][C]-0.085657[/C][C]-0.7268[/C][C]0.234845[/C][/ROW]
[ROW][C]42[/C][C]-0.04168[/C][C]-0.3537[/C][C]0.362312[/C][/ROW]
[ROW][C]43[/C][C]-0.015867[/C][C]-0.1346[/C][C]0.446637[/C][/ROW]
[ROW][C]44[/C][C]0.098429[/C][C]0.8352[/C][C]0.203184[/C][/ROW]
[ROW][C]45[/C][C]0.019834[/C][C]0.1683[/C][C]0.43341[/C][/ROW]
[ROW][C]46[/C][C]0.007904[/C][C]0.0671[/C][C]0.473356[/C][/ROW]
[ROW][C]47[/C][C]-0.014544[/C][C]-0.1234[/C][C]0.451064[/C][/ROW]
[ROW][C]48[/C][C]0.039497[/C][C]0.3351[/C][C]0.369247[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41875&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41875&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
10.9226317.82880
2-0.099319-0.84280.201079
3-0.012941-0.10980.456434
40.0347170.29460.384579
5-0.002872-0.02440.490314
6-0.035648-0.30250.381577
70.0201570.1710.432337
8-0.043988-0.37330.355028
9-0.022426-0.19030.424809
100.035240.2990.382892
110.0808150.68570.247541
12-0.07887-0.66920.252743
13-0.048304-0.40990.341559
140.0173270.1470.44176
15-0.005908-0.05010.480079
160.0410630.34840.364266
170.042620.36160.359339
18-0.010358-0.08790.465103
19-0.014773-0.12540.450297
20-0.161239-1.36820.087758
210.0073990.06280.475057
22-0.000978-0.00830.496699
23-0.037329-0.31670.376178
24-0.045276-0.38420.35099
25-0.008298-0.07040.472031
260.0357670.30350.381194
27-0.075695-0.64230.26136
28-0.051902-0.44040.330483
290.0281450.23880.405963
30-0.027916-0.23690.406714
31-0.02224-0.18870.425424
32-0.009066-0.07690.469447
33-0.01266-0.10740.457376
340.0029020.02460.490211
35-0.047666-0.40450.343537
36-0.039629-0.33630.368824
37-0.050746-0.43060.334024
38-0.034921-0.29630.383922
390.072720.6170.269574
400.0114570.09720.461413
41-0.085657-0.72680.234845
42-0.04168-0.35370.362312
43-0.015867-0.13460.446637
440.0984290.83520.203184
450.0198340.16830.43341
460.0079040.06710.473356
47-0.014544-0.12340.451064
480.0394970.33510.369247



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')