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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Dec 2007 01:22:25 -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/2007/Dec/18/t11979665941bk933iybh3vpzy.htm/, Retrieved Sat, 04 May 2024 18:57:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4461, Retrieved Sat, 04 May 2024 18:57:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsestimation of arima parameters: acf Tinne Van der Eycken
Estimated Impact245
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper: industriel...] [2007-12-18 08:22:25] [c8635c97647ba59406cb570a9fab7b02] [Current]
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Dataseries X:
86.5
104.1
110.9
114.5
112.2
96.4
92
102
99.7
102
98.9
87.4
94.4
109.3
116.4
101
105.5
97.8
95.5
113.7
103.7
100.8
113.8
84.6
95.3
110
107.5
107.6
116
96.9
97
108.1
101.9
107.2
110.2
78.7
96.5
115.2
104.7
109.1
108.4
95.5
97.8
115.1
96.2
112
111.8
82.5
100.8
116
116.3
116.6
112.9
100.9
104.1
117.4
103.3
111.6
115
92.6
105.2




Summary of compuational 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 compuational 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=4461&T=0

[TABLE]
[ROW][C]Summary of compuational 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=4461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4461&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 compuational 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
017.41620
10.2057981.52620.06634
20.0814740.60420.274087
30.0033720.0250.49007
4-0.115935-0.85980.803184
5-0.060475-0.44850.672222
6-0.659278-4.88930.999995
7-0.182147-1.35080.908861
8-0.020256-0.15020.559431
9-0.021748-0.16130.563772
100.0506680.37580.354269
110.0387950.28770.387324
120.4336673.21620.001089
130.1155050.85660.19769
140.0372420.27620.391716
150.0309380.22940.409688
16-0.038358-0.28450.611441
17-0.103718-0.76920.777465
18-0.433398-3.21420.998905
19-0.158199-1.17320.877121
20-0.080254-0.59520.722918
21-0.026452-0.19620.577402
220.0301640.22370.411908
230.1223780.90760.18403
240.3820822.83360.003212
250.1110410.82350.206889
260.0709810.52640.300359
270.0442470.32810.372024
28-0.03432-0.25450.599979
29-0.056356-0.41790.661193
30-0.30109-2.23290.985179
31-0.029093-0.21580.585013
32-0.025142-0.18650.573615
33-0.043537-0.32290.625995
340.0529140.39240.348131
350.0264460.19610.422616
360.2606141.93280.029211
370.1042720.77330.221328
380.0227970.16910.433182
390.0598950.44420.329324
40-0.08078-0.59910.724212
41-0.08653-0.64170.73814
42-0.191164-1.41770.919042
43-0.160123-1.18750.879934
44-0.057934-0.42970.665436
45-0.067858-0.50330.691602
460.0265840.19710.422219
470.0767180.5690.285851

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.4162 & 0 \tabularnewline
1 & 0.205798 & 1.5262 & 0.06634 \tabularnewline
2 & 0.081474 & 0.6042 & 0.274087 \tabularnewline
3 & 0.003372 & 0.025 & 0.49007 \tabularnewline
4 & -0.115935 & -0.8598 & 0.803184 \tabularnewline
5 & -0.060475 & -0.4485 & 0.672222 \tabularnewline
6 & -0.659278 & -4.8893 & 0.999995 \tabularnewline
7 & -0.182147 & -1.3508 & 0.908861 \tabularnewline
8 & -0.020256 & -0.1502 & 0.559431 \tabularnewline
9 & -0.021748 & -0.1613 & 0.563772 \tabularnewline
10 & 0.050668 & 0.3758 & 0.354269 \tabularnewline
11 & 0.038795 & 0.2877 & 0.387324 \tabularnewline
12 & 0.433667 & 3.2162 & 0.001089 \tabularnewline
13 & 0.115505 & 0.8566 & 0.19769 \tabularnewline
14 & 0.037242 & 0.2762 & 0.391716 \tabularnewline
15 & 0.030938 & 0.2294 & 0.409688 \tabularnewline
16 & -0.038358 & -0.2845 & 0.611441 \tabularnewline
17 & -0.103718 & -0.7692 & 0.777465 \tabularnewline
18 & -0.433398 & -3.2142 & 0.998905 \tabularnewline
19 & -0.158199 & -1.1732 & 0.877121 \tabularnewline
20 & -0.080254 & -0.5952 & 0.722918 \tabularnewline
21 & -0.026452 & -0.1962 & 0.577402 \tabularnewline
22 & 0.030164 & 0.2237 & 0.411908 \tabularnewline
23 & 0.122378 & 0.9076 & 0.18403 \tabularnewline
24 & 0.382082 & 2.8336 & 0.003212 \tabularnewline
25 & 0.111041 & 0.8235 & 0.206889 \tabularnewline
26 & 0.070981 & 0.5264 & 0.300359 \tabularnewline
27 & 0.044247 & 0.3281 & 0.372024 \tabularnewline
28 & -0.03432 & -0.2545 & 0.599979 \tabularnewline
29 & -0.056356 & -0.4179 & 0.661193 \tabularnewline
30 & -0.30109 & -2.2329 & 0.985179 \tabularnewline
31 & -0.029093 & -0.2158 & 0.585013 \tabularnewline
32 & -0.025142 & -0.1865 & 0.573615 \tabularnewline
33 & -0.043537 & -0.3229 & 0.625995 \tabularnewline
34 & 0.052914 & 0.3924 & 0.348131 \tabularnewline
35 & 0.026446 & 0.1961 & 0.422616 \tabularnewline
36 & 0.260614 & 1.9328 & 0.029211 \tabularnewline
37 & 0.104272 & 0.7733 & 0.221328 \tabularnewline
38 & 0.022797 & 0.1691 & 0.433182 \tabularnewline
39 & 0.059895 & 0.4442 & 0.329324 \tabularnewline
40 & -0.08078 & -0.5991 & 0.724212 \tabularnewline
41 & -0.08653 & -0.6417 & 0.73814 \tabularnewline
42 & -0.191164 & -1.4177 & 0.919042 \tabularnewline
43 & -0.160123 & -1.1875 & 0.879934 \tabularnewline
44 & -0.057934 & -0.4297 & 0.665436 \tabularnewline
45 & -0.067858 & -0.5033 & 0.691602 \tabularnewline
46 & 0.026584 & 0.1971 & 0.422219 \tabularnewline
47 & 0.076718 & 0.569 & 0.285851 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4461&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]0[/C][C]1[/C][C]7.4162[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.205798[/C][C]1.5262[/C][C]0.06634[/C][/ROW]
[ROW][C]2[/C][C]0.081474[/C][C]0.6042[/C][C]0.274087[/C][/ROW]
[ROW][C]3[/C][C]0.003372[/C][C]0.025[/C][C]0.49007[/C][/ROW]
[ROW][C]4[/C][C]-0.115935[/C][C]-0.8598[/C][C]0.803184[/C][/ROW]
[ROW][C]5[/C][C]-0.060475[/C][C]-0.4485[/C][C]0.672222[/C][/ROW]
[ROW][C]6[/C][C]-0.659278[/C][C]-4.8893[/C][C]0.999995[/C][/ROW]
[ROW][C]7[/C][C]-0.182147[/C][C]-1.3508[/C][C]0.908861[/C][/ROW]
[ROW][C]8[/C][C]-0.020256[/C][C]-0.1502[/C][C]0.559431[/C][/ROW]
[ROW][C]9[/C][C]-0.021748[/C][C]-0.1613[/C][C]0.563772[/C][/ROW]
[ROW][C]10[/C][C]0.050668[/C][C]0.3758[/C][C]0.354269[/C][/ROW]
[ROW][C]11[/C][C]0.038795[/C][C]0.2877[/C][C]0.387324[/C][/ROW]
[ROW][C]12[/C][C]0.433667[/C][C]3.2162[/C][C]0.001089[/C][/ROW]
[ROW][C]13[/C][C]0.115505[/C][C]0.8566[/C][C]0.19769[/C][/ROW]
[ROW][C]14[/C][C]0.037242[/C][C]0.2762[/C][C]0.391716[/C][/ROW]
[ROW][C]15[/C][C]0.030938[/C][C]0.2294[/C][C]0.409688[/C][/ROW]
[ROW][C]16[/C][C]-0.038358[/C][C]-0.2845[/C][C]0.611441[/C][/ROW]
[ROW][C]17[/C][C]-0.103718[/C][C]-0.7692[/C][C]0.777465[/C][/ROW]
[ROW][C]18[/C][C]-0.433398[/C][C]-3.2142[/C][C]0.998905[/C][/ROW]
[ROW][C]19[/C][C]-0.158199[/C][C]-1.1732[/C][C]0.877121[/C][/ROW]
[ROW][C]20[/C][C]-0.080254[/C][C]-0.5952[/C][C]0.722918[/C][/ROW]
[ROW][C]21[/C][C]-0.026452[/C][C]-0.1962[/C][C]0.577402[/C][/ROW]
[ROW][C]22[/C][C]0.030164[/C][C]0.2237[/C][C]0.411908[/C][/ROW]
[ROW][C]23[/C][C]0.122378[/C][C]0.9076[/C][C]0.18403[/C][/ROW]
[ROW][C]24[/C][C]0.382082[/C][C]2.8336[/C][C]0.003212[/C][/ROW]
[ROW][C]25[/C][C]0.111041[/C][C]0.8235[/C][C]0.206889[/C][/ROW]
[ROW][C]26[/C][C]0.070981[/C][C]0.5264[/C][C]0.300359[/C][/ROW]
[ROW][C]27[/C][C]0.044247[/C][C]0.3281[/C][C]0.372024[/C][/ROW]
[ROW][C]28[/C][C]-0.03432[/C][C]-0.2545[/C][C]0.599979[/C][/ROW]
[ROW][C]29[/C][C]-0.056356[/C][C]-0.4179[/C][C]0.661193[/C][/ROW]
[ROW][C]30[/C][C]-0.30109[/C][C]-2.2329[/C][C]0.985179[/C][/ROW]
[ROW][C]31[/C][C]-0.029093[/C][C]-0.2158[/C][C]0.585013[/C][/ROW]
[ROW][C]32[/C][C]-0.025142[/C][C]-0.1865[/C][C]0.573615[/C][/ROW]
[ROW][C]33[/C][C]-0.043537[/C][C]-0.3229[/C][C]0.625995[/C][/ROW]
[ROW][C]34[/C][C]0.052914[/C][C]0.3924[/C][C]0.348131[/C][/ROW]
[ROW][C]35[/C][C]0.026446[/C][C]0.1961[/C][C]0.422616[/C][/ROW]
[ROW][C]36[/C][C]0.260614[/C][C]1.9328[/C][C]0.029211[/C][/ROW]
[ROW][C]37[/C][C]0.104272[/C][C]0.7733[/C][C]0.221328[/C][/ROW]
[ROW][C]38[/C][C]0.022797[/C][C]0.1691[/C][C]0.433182[/C][/ROW]
[ROW][C]39[/C][C]0.059895[/C][C]0.4442[/C][C]0.329324[/C][/ROW]
[ROW][C]40[/C][C]-0.08078[/C][C]-0.5991[/C][C]0.724212[/C][/ROW]
[ROW][C]41[/C][C]-0.08653[/C][C]-0.6417[/C][C]0.73814[/C][/ROW]
[ROW][C]42[/C][C]-0.191164[/C][C]-1.4177[/C][C]0.919042[/C][/ROW]
[ROW][C]43[/C][C]-0.160123[/C][C]-1.1875[/C][C]0.879934[/C][/ROW]
[ROW][C]44[/C][C]-0.057934[/C][C]-0.4297[/C][C]0.665436[/C][/ROW]
[ROW][C]45[/C][C]-0.067858[/C][C]-0.5033[/C][C]0.691602[/C][/ROW]
[ROW][C]46[/C][C]0.026584[/C][C]0.1971[/C][C]0.422219[/C][/ROW]
[ROW][C]47[/C][C]0.076718[/C][C]0.569[/C][C]0.285851[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4461&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
017.41620
10.2057981.52620.06634
20.0814740.60420.274087
30.0033720.0250.49007
4-0.115935-0.85980.803184
5-0.060475-0.44850.672222
6-0.659278-4.88930.999995
7-0.182147-1.35080.908861
8-0.020256-0.15020.559431
9-0.021748-0.16130.563772
100.0506680.37580.354269
110.0387950.28770.387324
120.4336673.21620.001089
130.1155050.85660.19769
140.0372420.27620.391716
150.0309380.22940.409688
16-0.038358-0.28450.611441
17-0.103718-0.76920.777465
18-0.433398-3.21420.998905
19-0.158199-1.17320.877121
20-0.080254-0.59520.722918
21-0.026452-0.19620.577402
220.0301640.22370.411908
230.1223780.90760.18403
240.3820822.83360.003212
250.1110410.82350.206889
260.0709810.52640.300359
270.0442470.32810.372024
28-0.03432-0.25450.599979
29-0.056356-0.41790.661193
30-0.30109-2.23290.985179
31-0.029093-0.21580.585013
32-0.025142-0.18650.573615
33-0.043537-0.32290.625995
340.0529140.39240.348131
350.0264460.19610.422616
360.2606141.93280.029211
370.1042720.77330.221328
380.0227970.16910.433182
390.0598950.44420.329324
40-0.08078-0.59910.724212
41-0.08653-0.64170.73814
42-0.191164-1.41770.919042
43-0.160123-1.18750.879934
44-0.057934-0.42970.665436
45-0.067858-0.50330.691602
460.0265840.19710.422219
470.0767180.5690.285851







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2057981.52620.06634
10.0408520.3030.38153
2-0.022088-0.16380.56476
3-0.121122-0.89830.813519
4-0.014017-0.1040.541208
5-0.668329-4.95650.999996
60.1280960.950.173138
70.0412650.3060.38037
8-0.037405-0.27740.608746
9-0.131671-0.97650.833453
100.1576591.16920.123676
11-0.033219-0.24640.596838
12-0.099632-0.73890.768442
130.1229830.91210.182858
140.018420.13660.445921
15-0.107211-0.79510.785012
16-0.152917-1.13410.869157
17-0.12906-0.95710.828656
18-0.088003-0.65260.741649
19-0.054254-0.40240.655509
200.0445250.33020.37125
21-0.038784-0.28760.612645
220.0283470.21020.417133
23-0.010742-0.07970.531603
24-0.094735-0.70260.757358
250.0003110.00230.499085
260.0742080.55030.292156
27-0.096463-0.71540.761302
280.0603130.44730.328209
29-0.01165-0.08640.534268
300.0763590.56630.286749
31-0.053312-0.39540.652951
320.0857170.63570.263806
330.0033820.02510.490042
34-0.045327-0.33620.630982
350.0218650.16220.435889
360.1874391.39010.085052
37-0.10953-0.81230.789939
380.0269690.20.421107
39-0.008395-0.06230.52471
40-0.056241-0.41710.660883
410.0457190.33910.367926
42-0.019918-0.14770.558447
43-0.040091-0.29730.616331
44-0.021967-0.16290.564407
45-0.02777-0.20590.581203
46-0.064995-0.4820.684146
47-0.103783-0.76970.777608

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.205798 & 1.5262 & 0.06634 \tabularnewline
1 & 0.040852 & 0.303 & 0.38153 \tabularnewline
2 & -0.022088 & -0.1638 & 0.56476 \tabularnewline
3 & -0.121122 & -0.8983 & 0.813519 \tabularnewline
4 & -0.014017 & -0.104 & 0.541208 \tabularnewline
5 & -0.668329 & -4.9565 & 0.999996 \tabularnewline
6 & 0.128096 & 0.95 & 0.173138 \tabularnewline
7 & 0.041265 & 0.306 & 0.38037 \tabularnewline
8 & -0.037405 & -0.2774 & 0.608746 \tabularnewline
9 & -0.131671 & -0.9765 & 0.833453 \tabularnewline
10 & 0.157659 & 1.1692 & 0.123676 \tabularnewline
11 & -0.033219 & -0.2464 & 0.596838 \tabularnewline
12 & -0.099632 & -0.7389 & 0.768442 \tabularnewline
13 & 0.122983 & 0.9121 & 0.182858 \tabularnewline
14 & 0.01842 & 0.1366 & 0.445921 \tabularnewline
15 & -0.107211 & -0.7951 & 0.785012 \tabularnewline
16 & -0.152917 & -1.1341 & 0.869157 \tabularnewline
17 & -0.12906 & -0.9571 & 0.828656 \tabularnewline
18 & -0.088003 & -0.6526 & 0.741649 \tabularnewline
19 & -0.054254 & -0.4024 & 0.655509 \tabularnewline
20 & 0.044525 & 0.3302 & 0.37125 \tabularnewline
21 & -0.038784 & -0.2876 & 0.612645 \tabularnewline
22 & 0.028347 & 0.2102 & 0.417133 \tabularnewline
23 & -0.010742 & -0.0797 & 0.531603 \tabularnewline
24 & -0.094735 & -0.7026 & 0.757358 \tabularnewline
25 & 0.000311 & 0.0023 & 0.499085 \tabularnewline
26 & 0.074208 & 0.5503 & 0.292156 \tabularnewline
27 & -0.096463 & -0.7154 & 0.761302 \tabularnewline
28 & 0.060313 & 0.4473 & 0.328209 \tabularnewline
29 & -0.01165 & -0.0864 & 0.534268 \tabularnewline
30 & 0.076359 & 0.5663 & 0.286749 \tabularnewline
31 & -0.053312 & -0.3954 & 0.652951 \tabularnewline
32 & 0.085717 & 0.6357 & 0.263806 \tabularnewline
33 & 0.003382 & 0.0251 & 0.490042 \tabularnewline
34 & -0.045327 & -0.3362 & 0.630982 \tabularnewline
35 & 0.021865 & 0.1622 & 0.435889 \tabularnewline
36 & 0.187439 & 1.3901 & 0.085052 \tabularnewline
37 & -0.10953 & -0.8123 & 0.789939 \tabularnewline
38 & 0.026969 & 0.2 & 0.421107 \tabularnewline
39 & -0.008395 & -0.0623 & 0.52471 \tabularnewline
40 & -0.056241 & -0.4171 & 0.660883 \tabularnewline
41 & 0.045719 & 0.3391 & 0.367926 \tabularnewline
42 & -0.019918 & -0.1477 & 0.558447 \tabularnewline
43 & -0.040091 & -0.2973 & 0.616331 \tabularnewline
44 & -0.021967 & -0.1629 & 0.564407 \tabularnewline
45 & -0.02777 & -0.2059 & 0.581203 \tabularnewline
46 & -0.064995 & -0.482 & 0.684146 \tabularnewline
47 & -0.103783 & -0.7697 & 0.777608 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4461&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]0[/C][C]0.205798[/C][C]1.5262[/C][C]0.06634[/C][/ROW]
[ROW][C]1[/C][C]0.040852[/C][C]0.303[/C][C]0.38153[/C][/ROW]
[ROW][C]2[/C][C]-0.022088[/C][C]-0.1638[/C][C]0.56476[/C][/ROW]
[ROW][C]3[/C][C]-0.121122[/C][C]-0.8983[/C][C]0.813519[/C][/ROW]
[ROW][C]4[/C][C]-0.014017[/C][C]-0.104[/C][C]0.541208[/C][/ROW]
[ROW][C]5[/C][C]-0.668329[/C][C]-4.9565[/C][C]0.999996[/C][/ROW]
[ROW][C]6[/C][C]0.128096[/C][C]0.95[/C][C]0.173138[/C][/ROW]
[ROW][C]7[/C][C]0.041265[/C][C]0.306[/C][C]0.38037[/C][/ROW]
[ROW][C]8[/C][C]-0.037405[/C][C]-0.2774[/C][C]0.608746[/C][/ROW]
[ROW][C]9[/C][C]-0.131671[/C][C]-0.9765[/C][C]0.833453[/C][/ROW]
[ROW][C]10[/C][C]0.157659[/C][C]1.1692[/C][C]0.123676[/C][/ROW]
[ROW][C]11[/C][C]-0.033219[/C][C]-0.2464[/C][C]0.596838[/C][/ROW]
[ROW][C]12[/C][C]-0.099632[/C][C]-0.7389[/C][C]0.768442[/C][/ROW]
[ROW][C]13[/C][C]0.122983[/C][C]0.9121[/C][C]0.182858[/C][/ROW]
[ROW][C]14[/C][C]0.01842[/C][C]0.1366[/C][C]0.445921[/C][/ROW]
[ROW][C]15[/C][C]-0.107211[/C][C]-0.7951[/C][C]0.785012[/C][/ROW]
[ROW][C]16[/C][C]-0.152917[/C][C]-1.1341[/C][C]0.869157[/C][/ROW]
[ROW][C]17[/C][C]-0.12906[/C][C]-0.9571[/C][C]0.828656[/C][/ROW]
[ROW][C]18[/C][C]-0.088003[/C][C]-0.6526[/C][C]0.741649[/C][/ROW]
[ROW][C]19[/C][C]-0.054254[/C][C]-0.4024[/C][C]0.655509[/C][/ROW]
[ROW][C]20[/C][C]0.044525[/C][C]0.3302[/C][C]0.37125[/C][/ROW]
[ROW][C]21[/C][C]-0.038784[/C][C]-0.2876[/C][C]0.612645[/C][/ROW]
[ROW][C]22[/C][C]0.028347[/C][C]0.2102[/C][C]0.417133[/C][/ROW]
[ROW][C]23[/C][C]-0.010742[/C][C]-0.0797[/C][C]0.531603[/C][/ROW]
[ROW][C]24[/C][C]-0.094735[/C][C]-0.7026[/C][C]0.757358[/C][/ROW]
[ROW][C]25[/C][C]0.000311[/C][C]0.0023[/C][C]0.499085[/C][/ROW]
[ROW][C]26[/C][C]0.074208[/C][C]0.5503[/C][C]0.292156[/C][/ROW]
[ROW][C]27[/C][C]-0.096463[/C][C]-0.7154[/C][C]0.761302[/C][/ROW]
[ROW][C]28[/C][C]0.060313[/C][C]0.4473[/C][C]0.328209[/C][/ROW]
[ROW][C]29[/C][C]-0.01165[/C][C]-0.0864[/C][C]0.534268[/C][/ROW]
[ROW][C]30[/C][C]0.076359[/C][C]0.5663[/C][C]0.286749[/C][/ROW]
[ROW][C]31[/C][C]-0.053312[/C][C]-0.3954[/C][C]0.652951[/C][/ROW]
[ROW][C]32[/C][C]0.085717[/C][C]0.6357[/C][C]0.263806[/C][/ROW]
[ROW][C]33[/C][C]0.003382[/C][C]0.0251[/C][C]0.490042[/C][/ROW]
[ROW][C]34[/C][C]-0.045327[/C][C]-0.3362[/C][C]0.630982[/C][/ROW]
[ROW][C]35[/C][C]0.021865[/C][C]0.1622[/C][C]0.435889[/C][/ROW]
[ROW][C]36[/C][C]0.187439[/C][C]1.3901[/C][C]0.085052[/C][/ROW]
[ROW][C]37[/C][C]-0.10953[/C][C]-0.8123[/C][C]0.789939[/C][/ROW]
[ROW][C]38[/C][C]0.026969[/C][C]0.2[/C][C]0.421107[/C][/ROW]
[ROW][C]39[/C][C]-0.008395[/C][C]-0.0623[/C][C]0.52471[/C][/ROW]
[ROW][C]40[/C][C]-0.056241[/C][C]-0.4171[/C][C]0.660883[/C][/ROW]
[ROW][C]41[/C][C]0.045719[/C][C]0.3391[/C][C]0.367926[/C][/ROW]
[ROW][C]42[/C][C]-0.019918[/C][C]-0.1477[/C][C]0.558447[/C][/ROW]
[ROW][C]43[/C][C]-0.040091[/C][C]-0.2973[/C][C]0.616331[/C][/ROW]
[ROW][C]44[/C][C]-0.021967[/C][C]-0.1629[/C][C]0.564407[/C][/ROW]
[ROW][C]45[/C][C]-0.02777[/C][C]-0.2059[/C][C]0.581203[/C][/ROW]
[ROW][C]46[/C][C]-0.064995[/C][C]-0.482[/C][C]0.684146[/C][/ROW]
[ROW][C]47[/C][C]-0.103783[/C][C]-0.7697[/C][C]0.777608[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4461&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4461&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
00.2057981.52620.06634
10.0408520.3030.38153
2-0.022088-0.16380.56476
3-0.121122-0.89830.813519
4-0.014017-0.1040.541208
5-0.668329-4.95650.999996
60.1280960.950.173138
70.0412650.3060.38037
8-0.037405-0.27740.608746
9-0.131671-0.97650.833453
100.1576591.16920.123676
11-0.033219-0.24640.596838
12-0.099632-0.73890.768442
130.1229830.91210.182858
140.018420.13660.445921
15-0.107211-0.79510.785012
16-0.152917-1.13410.869157
17-0.12906-0.95710.828656
18-0.088003-0.65260.741649
19-0.054254-0.40240.655509
200.0445250.33020.37125
21-0.038784-0.28760.612645
220.0283470.21020.417133
23-0.010742-0.07970.531603
24-0.094735-0.70260.757358
250.0003110.00230.499085
260.0742080.55030.292156
27-0.096463-0.71540.761302
280.0603130.44730.328209
29-0.01165-0.08640.534268
300.0763590.56630.286749
31-0.053312-0.39540.652951
320.0857170.63570.263806
330.0033820.02510.490042
34-0.045327-0.33620.630982
350.0218650.16220.435889
360.1874391.39010.085052
37-0.10953-0.81230.789939
380.0269690.20.421107
39-0.008395-0.06230.52471
40-0.056241-0.41710.660883
410.0457190.33910.367926
42-0.019918-0.14770.558447
43-0.040091-0.29730.616331
44-0.021967-0.16290.564407
45-0.02777-0.20590.581203
46-0.064995-0.4820.684146
47-0.103783-0.76970.777608



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 6 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 6 ;
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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')