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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 15 Dec 2007 06:29:35 -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/15/t1197724540gadqh9w2t1wpyul.htm/, Retrieved Fri, 03 May 2024 02:58:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4038, Retrieved Fri, 03 May 2024 02:58:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie d1...] [2007-12-15 13:29:35] [c5caf8a1e3802eaf41184f28719e74c9] [Current]
-   PD    [(Partial) Autocorrelation Function] [Ruwe aardolie cor...] [2007-12-18 14:13:21] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
68.4
70.6
83.9
90.1
90.6
87.1
90.8
94.1
99.8
96.8
87
96.3
107.1
115.2
106.1
89.5
91.3
97.6
100.7
104.6
94.7
101.8
102.5
105.3
110.3
109.8
117.3
118.8
131.3
125.9
133.1
147
145.8
164.4
149.8
137.7
151.7
156.8
180
180.4
170.4
191.6
199.5
218.2
217.5
205
194
199.3
219.3
211.1
215.2
240.2
242.2
240.7
255.4
253
218.2
203.7
205.6
215.6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 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=4038&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]3 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=4038&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4038&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
10.0608130.46710.321071
2-0.246341-1.89220.968312
3-0.208597-1.60230.94278
4-0.121539-0.93360.822831
50.3899852.99550.002001
6-0.012512-0.09610.53812
7-0.126292-0.97010.832014
8-0.228691-1.75660.957913
9-0.04462-0.34270.633492
100.3618762.77960.003645
110.0690020.530.299044
12-0.039689-0.30490.619226
13-0.219881-1.68890.951745
14-0.056254-0.43210.666376
150.1436921.10370.137098
16-0.121359-0.93220.822477
170.0054370.04180.483415
18-0.210759-1.61890.944596
190.0056110.04310.482883
200.1819951.39790.083684
21-0.018209-0.13990.55538
220.0175380.13470.44665
23-0.201793-1.550.936755
240.0385690.29630.384039
250.1528871.17430.122487
26-0.008166-0.06270.5249
27-0.067043-0.5150.695749
28-0.170872-1.31250.902782
290.0296520.22780.410311
300.1812381.39210.084556
310.0717340.5510.291858
32-0.101488-0.77950.780612
33-0.172003-1.32120.904229
34-0.002444-0.01880.507457
350.1033480.79380.215237
360.0935450.71850.237633
37-0.015637-0.12010.547597
38-0.073711-0.56620.713292
390.0202850.15580.438355
400.0666060.51160.305417
410.1215150.93340.177216
420.0879240.67540.251043
43-0.03982-0.30590.619608
44-0.127413-0.97870.834133
45-0.057677-0.4430.670317
460.0675450.51880.302913
470.0384010.2950.384527
480.0247440.19010.424956
490.0047330.03640.48556
50-0.025729-0.19760.577992
510.0240830.1850.426938
520.0400620.30770.379689
53-0.033841-0.25990.602092
54-0.106719-0.81970.792163
55-0.0548-0.42090.662332
56-0.00393-0.03020.511989
570.0138710.10650.457756
580.0011380.00870.496528
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.060813 & 0.4671 & 0.321071 \tabularnewline
2 & -0.246341 & -1.8922 & 0.968312 \tabularnewline
3 & -0.208597 & -1.6023 & 0.94278 \tabularnewline
4 & -0.121539 & -0.9336 & 0.822831 \tabularnewline
5 & 0.389985 & 2.9955 & 0.002001 \tabularnewline
6 & -0.012512 & -0.0961 & 0.53812 \tabularnewline
7 & -0.126292 & -0.9701 & 0.832014 \tabularnewline
8 & -0.228691 & -1.7566 & 0.957913 \tabularnewline
9 & -0.04462 & -0.3427 & 0.633492 \tabularnewline
10 & 0.361876 & 2.7796 & 0.003645 \tabularnewline
11 & 0.069002 & 0.53 & 0.299044 \tabularnewline
12 & -0.039689 & -0.3049 & 0.619226 \tabularnewline
13 & -0.219881 & -1.6889 & 0.951745 \tabularnewline
14 & -0.056254 & -0.4321 & 0.666376 \tabularnewline
15 & 0.143692 & 1.1037 & 0.137098 \tabularnewline
16 & -0.121359 & -0.9322 & 0.822477 \tabularnewline
17 & 0.005437 & 0.0418 & 0.483415 \tabularnewline
18 & -0.210759 & -1.6189 & 0.944596 \tabularnewline
19 & 0.005611 & 0.0431 & 0.482883 \tabularnewline
20 & 0.181995 & 1.3979 & 0.083684 \tabularnewline
21 & -0.018209 & -0.1399 & 0.55538 \tabularnewline
22 & 0.017538 & 0.1347 & 0.44665 \tabularnewline
23 & -0.201793 & -1.55 & 0.936755 \tabularnewline
24 & 0.038569 & 0.2963 & 0.384039 \tabularnewline
25 & 0.152887 & 1.1743 & 0.122487 \tabularnewline
26 & -0.008166 & -0.0627 & 0.5249 \tabularnewline
27 & -0.067043 & -0.515 & 0.695749 \tabularnewline
28 & -0.170872 & -1.3125 & 0.902782 \tabularnewline
29 & 0.029652 & 0.2278 & 0.410311 \tabularnewline
30 & 0.181238 & 1.3921 & 0.084556 \tabularnewline
31 & 0.071734 & 0.551 & 0.291858 \tabularnewline
32 & -0.101488 & -0.7795 & 0.780612 \tabularnewline
33 & -0.172003 & -1.3212 & 0.904229 \tabularnewline
34 & -0.002444 & -0.0188 & 0.507457 \tabularnewline
35 & 0.103348 & 0.7938 & 0.215237 \tabularnewline
36 & 0.093545 & 0.7185 & 0.237633 \tabularnewline
37 & -0.015637 & -0.1201 & 0.547597 \tabularnewline
38 & -0.073711 & -0.5662 & 0.713292 \tabularnewline
39 & 0.020285 & 0.1558 & 0.438355 \tabularnewline
40 & 0.066606 & 0.5116 & 0.305417 \tabularnewline
41 & 0.121515 & 0.9334 & 0.177216 \tabularnewline
42 & 0.087924 & 0.6754 & 0.251043 \tabularnewline
43 & -0.03982 & -0.3059 & 0.619608 \tabularnewline
44 & -0.127413 & -0.9787 & 0.834133 \tabularnewline
45 & -0.057677 & -0.443 & 0.670317 \tabularnewline
46 & 0.067545 & 0.5188 & 0.302913 \tabularnewline
47 & 0.038401 & 0.295 & 0.384527 \tabularnewline
48 & 0.024744 & 0.1901 & 0.424956 \tabularnewline
49 & 0.004733 & 0.0364 & 0.48556 \tabularnewline
50 & -0.025729 & -0.1976 & 0.577992 \tabularnewline
51 & 0.024083 & 0.185 & 0.426938 \tabularnewline
52 & 0.040062 & 0.3077 & 0.379689 \tabularnewline
53 & -0.033841 & -0.2599 & 0.602092 \tabularnewline
54 & -0.106719 & -0.8197 & 0.792163 \tabularnewline
55 & -0.0548 & -0.4209 & 0.662332 \tabularnewline
56 & -0.00393 & -0.0302 & 0.511989 \tabularnewline
57 & 0.013871 & 0.1065 & 0.457756 \tabularnewline
58 & 0.001138 & 0.0087 & 0.496528 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4038&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.060813[/C][C]0.4671[/C][C]0.321071[/C][/ROW]
[ROW][C]2[/C][C]-0.246341[/C][C]-1.8922[/C][C]0.968312[/C][/ROW]
[ROW][C]3[/C][C]-0.208597[/C][C]-1.6023[/C][C]0.94278[/C][/ROW]
[ROW][C]4[/C][C]-0.121539[/C][C]-0.9336[/C][C]0.822831[/C][/ROW]
[ROW][C]5[/C][C]0.389985[/C][C]2.9955[/C][C]0.002001[/C][/ROW]
[ROW][C]6[/C][C]-0.012512[/C][C]-0.0961[/C][C]0.53812[/C][/ROW]
[ROW][C]7[/C][C]-0.126292[/C][C]-0.9701[/C][C]0.832014[/C][/ROW]
[ROW][C]8[/C][C]-0.228691[/C][C]-1.7566[/C][C]0.957913[/C][/ROW]
[ROW][C]9[/C][C]-0.04462[/C][C]-0.3427[/C][C]0.633492[/C][/ROW]
[ROW][C]10[/C][C]0.361876[/C][C]2.7796[/C][C]0.003645[/C][/ROW]
[ROW][C]11[/C][C]0.069002[/C][C]0.53[/C][C]0.299044[/C][/ROW]
[ROW][C]12[/C][C]-0.039689[/C][C]-0.3049[/C][C]0.619226[/C][/ROW]
[ROW][C]13[/C][C]-0.219881[/C][C]-1.6889[/C][C]0.951745[/C][/ROW]
[ROW][C]14[/C][C]-0.056254[/C][C]-0.4321[/C][C]0.666376[/C][/ROW]
[ROW][C]15[/C][C]0.143692[/C][C]1.1037[/C][C]0.137098[/C][/ROW]
[ROW][C]16[/C][C]-0.121359[/C][C]-0.9322[/C][C]0.822477[/C][/ROW]
[ROW][C]17[/C][C]0.005437[/C][C]0.0418[/C][C]0.483415[/C][/ROW]
[ROW][C]18[/C][C]-0.210759[/C][C]-1.6189[/C][C]0.944596[/C][/ROW]
[ROW][C]19[/C][C]0.005611[/C][C]0.0431[/C][C]0.482883[/C][/ROW]
[ROW][C]20[/C][C]0.181995[/C][C]1.3979[/C][C]0.083684[/C][/ROW]
[ROW][C]21[/C][C]-0.018209[/C][C]-0.1399[/C][C]0.55538[/C][/ROW]
[ROW][C]22[/C][C]0.017538[/C][C]0.1347[/C][C]0.44665[/C][/ROW]
[ROW][C]23[/C][C]-0.201793[/C][C]-1.55[/C][C]0.936755[/C][/ROW]
[ROW][C]24[/C][C]0.038569[/C][C]0.2963[/C][C]0.384039[/C][/ROW]
[ROW][C]25[/C][C]0.152887[/C][C]1.1743[/C][C]0.122487[/C][/ROW]
[ROW][C]26[/C][C]-0.008166[/C][C]-0.0627[/C][C]0.5249[/C][/ROW]
[ROW][C]27[/C][C]-0.067043[/C][C]-0.515[/C][C]0.695749[/C][/ROW]
[ROW][C]28[/C][C]-0.170872[/C][C]-1.3125[/C][C]0.902782[/C][/ROW]
[ROW][C]29[/C][C]0.029652[/C][C]0.2278[/C][C]0.410311[/C][/ROW]
[ROW][C]30[/C][C]0.181238[/C][C]1.3921[/C][C]0.084556[/C][/ROW]
[ROW][C]31[/C][C]0.071734[/C][C]0.551[/C][C]0.291858[/C][/ROW]
[ROW][C]32[/C][C]-0.101488[/C][C]-0.7795[/C][C]0.780612[/C][/ROW]
[ROW][C]33[/C][C]-0.172003[/C][C]-1.3212[/C][C]0.904229[/C][/ROW]
[ROW][C]34[/C][C]-0.002444[/C][C]-0.0188[/C][C]0.507457[/C][/ROW]
[ROW][C]35[/C][C]0.103348[/C][C]0.7938[/C][C]0.215237[/C][/ROW]
[ROW][C]36[/C][C]0.093545[/C][C]0.7185[/C][C]0.237633[/C][/ROW]
[ROW][C]37[/C][C]-0.015637[/C][C]-0.1201[/C][C]0.547597[/C][/ROW]
[ROW][C]38[/C][C]-0.073711[/C][C]-0.5662[/C][C]0.713292[/C][/ROW]
[ROW][C]39[/C][C]0.020285[/C][C]0.1558[/C][C]0.438355[/C][/ROW]
[ROW][C]40[/C][C]0.066606[/C][C]0.5116[/C][C]0.305417[/C][/ROW]
[ROW][C]41[/C][C]0.121515[/C][C]0.9334[/C][C]0.177216[/C][/ROW]
[ROW][C]42[/C][C]0.087924[/C][C]0.6754[/C][C]0.251043[/C][/ROW]
[ROW][C]43[/C][C]-0.03982[/C][C]-0.3059[/C][C]0.619608[/C][/ROW]
[ROW][C]44[/C][C]-0.127413[/C][C]-0.9787[/C][C]0.834133[/C][/ROW]
[ROW][C]45[/C][C]-0.057677[/C][C]-0.443[/C][C]0.670317[/C][/ROW]
[ROW][C]46[/C][C]0.067545[/C][C]0.5188[/C][C]0.302913[/C][/ROW]
[ROW][C]47[/C][C]0.038401[/C][C]0.295[/C][C]0.384527[/C][/ROW]
[ROW][C]48[/C][C]0.024744[/C][C]0.1901[/C][C]0.424956[/C][/ROW]
[ROW][C]49[/C][C]0.004733[/C][C]0.0364[/C][C]0.48556[/C][/ROW]
[ROW][C]50[/C][C]-0.025729[/C][C]-0.1976[/C][C]0.577992[/C][/ROW]
[ROW][C]51[/C][C]0.024083[/C][C]0.185[/C][C]0.426938[/C][/ROW]
[ROW][C]52[/C][C]0.040062[/C][C]0.3077[/C][C]0.379689[/C][/ROW]
[ROW][C]53[/C][C]-0.033841[/C][C]-0.2599[/C][C]0.602092[/C][/ROW]
[ROW][C]54[/C][C]-0.106719[/C][C]-0.8197[/C][C]0.792163[/C][/ROW]
[ROW][C]55[/C][C]-0.0548[/C][C]-0.4209[/C][C]0.662332[/C][/ROW]
[ROW][C]56[/C][C]-0.00393[/C][C]-0.0302[/C][C]0.511989[/C][/ROW]
[ROW][C]57[/C][C]0.013871[/C][C]0.1065[/C][C]0.457756[/C][/ROW]
[ROW][C]58[/C][C]0.001138[/C][C]0.0087[/C][C]0.496528[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4038&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4038&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
017.68110
10.0608130.46710.321071
2-0.246341-1.89220.968312
3-0.208597-1.60230.94278
4-0.121539-0.93360.822831
50.3899852.99550.002001
6-0.012512-0.09610.53812
7-0.126292-0.97010.832014
8-0.228691-1.75660.957913
9-0.04462-0.34270.633492
100.3618762.77960.003645
110.0690020.530.299044
12-0.039689-0.30490.619226
13-0.219881-1.68890.951745
14-0.056254-0.43210.666376
150.1436921.10370.137098
16-0.121359-0.93220.822477
170.0054370.04180.483415
18-0.210759-1.61890.944596
190.0056110.04310.482883
200.1819951.39790.083684
21-0.018209-0.13990.55538
220.0175380.13470.44665
23-0.201793-1.550.936755
240.0385690.29630.384039
250.1528871.17430.122487
26-0.008166-0.06270.5249
27-0.067043-0.5150.695749
28-0.170872-1.31250.902782
290.0296520.22780.410311
300.1812381.39210.084556
310.0717340.5510.291858
32-0.101488-0.77950.780612
33-0.172003-1.32120.904229
34-0.002444-0.01880.507457
350.1033480.79380.215237
360.0935450.71850.237633
37-0.015637-0.12010.547597
38-0.073711-0.56620.713292
390.0202850.15580.438355
400.0666060.51160.305417
410.1215150.93340.177216
420.0879240.67540.251043
43-0.03982-0.30590.619608
44-0.127413-0.97870.834133
45-0.057677-0.4430.670317
460.0675450.51880.302913
470.0384010.2950.384527
480.0247440.19010.424956
490.0047330.03640.48556
50-0.025729-0.19760.577992
510.0240830.1850.426938
520.0400620.30770.379689
53-0.033841-0.25990.602092
54-0.106719-0.81970.792163
55-0.0548-0.42090.662332
56-0.00393-0.03020.511989
570.0138710.10650.457756
580.0011380.00870.496528
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0608130.46710.321071
1-0.250967-1.92770.970646
2-0.187022-1.43650.921935
3-0.180271-1.38470.914319
40.3411222.62020.005578
5-0.186882-1.43550.921783
60.0172510.13250.447518
7-0.238848-1.83460.964198
80.0937860.72040.237068
90.1070830.82250.207047
100.0527350.40510.343449
110.0133090.10220.459462
12-0.052581-0.40390.65612
130.0379480.29150.385852
14-0.106647-0.81920.792007
15-0.207254-1.59190.94163
160.0212120.16290.435566
17-0.188908-1.4510.923966
180.0556890.42780.335192
19-0.084022-0.64540.73941
200.0370790.28480.388394
21-0.118331-0.90890.816454
22-0.043253-0.33220.629554
23-0.023635-0.18150.571717
240.0641510.49280.312008
25-0.000394-0.0030.501203
26-0.093664-0.71940.762646
270.0183480.14090.4442
28-0.081264-0.62420.73255
290.1039380.79840.213931
30-0.085072-0.65350.741998
31-0.088738-0.68160.750923
32-0.032449-0.24920.597981
33-0.122071-0.93760.823875
34-0.039884-0.30640.619795
35-0.085539-0.6570.743144
360.0711810.54670.293307
370.0371050.2850.388318
380.0132010.10140.459788
390.0037980.02920.488414
400.0583390.44810.327858
410.2252761.73040.044396
420.0281360.21610.41482
43-0.034041-0.26150.60268
44-0.081614-0.62690.733425
450.0695490.53420.297599
46-0.115376-0.88620.810452
47-0.000771-0.00590.502352
480.0620560.47670.317681
49-0.054955-0.42210.662763
500.0218490.16780.433649
51-0.068871-0.5290.700607
52-0.020638-0.15850.562707
53-0.076481-0.58750.720433
540.0167020.12830.449179
55-0.005582-0.04290.517027
560.0246090.1890.425362
570.0780110.59920.275661
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.060813 & 0.4671 & 0.321071 \tabularnewline
1 & -0.250967 & -1.9277 & 0.970646 \tabularnewline
2 & -0.187022 & -1.4365 & 0.921935 \tabularnewline
3 & -0.180271 & -1.3847 & 0.914319 \tabularnewline
4 & 0.341122 & 2.6202 & 0.005578 \tabularnewline
5 & -0.186882 & -1.4355 & 0.921783 \tabularnewline
6 & 0.017251 & 0.1325 & 0.447518 \tabularnewline
7 & -0.238848 & -1.8346 & 0.964198 \tabularnewline
8 & 0.093786 & 0.7204 & 0.237068 \tabularnewline
9 & 0.107083 & 0.8225 & 0.207047 \tabularnewline
10 & 0.052735 & 0.4051 & 0.343449 \tabularnewline
11 & 0.013309 & 0.1022 & 0.459462 \tabularnewline
12 & -0.052581 & -0.4039 & 0.65612 \tabularnewline
13 & 0.037948 & 0.2915 & 0.385852 \tabularnewline
14 & -0.106647 & -0.8192 & 0.792007 \tabularnewline
15 & -0.207254 & -1.5919 & 0.94163 \tabularnewline
16 & 0.021212 & 0.1629 & 0.435566 \tabularnewline
17 & -0.188908 & -1.451 & 0.923966 \tabularnewline
18 & 0.055689 & 0.4278 & 0.335192 \tabularnewline
19 & -0.084022 & -0.6454 & 0.73941 \tabularnewline
20 & 0.037079 & 0.2848 & 0.388394 \tabularnewline
21 & -0.118331 & -0.9089 & 0.816454 \tabularnewline
22 & -0.043253 & -0.3322 & 0.629554 \tabularnewline
23 & -0.023635 & -0.1815 & 0.571717 \tabularnewline
24 & 0.064151 & 0.4928 & 0.312008 \tabularnewline
25 & -0.000394 & -0.003 & 0.501203 \tabularnewline
26 & -0.093664 & -0.7194 & 0.762646 \tabularnewline
27 & 0.018348 & 0.1409 & 0.4442 \tabularnewline
28 & -0.081264 & -0.6242 & 0.73255 \tabularnewline
29 & 0.103938 & 0.7984 & 0.213931 \tabularnewline
30 & -0.085072 & -0.6535 & 0.741998 \tabularnewline
31 & -0.088738 & -0.6816 & 0.750923 \tabularnewline
32 & -0.032449 & -0.2492 & 0.597981 \tabularnewline
33 & -0.122071 & -0.9376 & 0.823875 \tabularnewline
34 & -0.039884 & -0.3064 & 0.619795 \tabularnewline
35 & -0.085539 & -0.657 & 0.743144 \tabularnewline
36 & 0.071181 & 0.5467 & 0.293307 \tabularnewline
37 & 0.037105 & 0.285 & 0.388318 \tabularnewline
38 & 0.013201 & 0.1014 & 0.459788 \tabularnewline
39 & 0.003798 & 0.0292 & 0.488414 \tabularnewline
40 & 0.058339 & 0.4481 & 0.327858 \tabularnewline
41 & 0.225276 & 1.7304 & 0.044396 \tabularnewline
42 & 0.028136 & 0.2161 & 0.41482 \tabularnewline
43 & -0.034041 & -0.2615 & 0.60268 \tabularnewline
44 & -0.081614 & -0.6269 & 0.733425 \tabularnewline
45 & 0.069549 & 0.5342 & 0.297599 \tabularnewline
46 & -0.115376 & -0.8862 & 0.810452 \tabularnewline
47 & -0.000771 & -0.0059 & 0.502352 \tabularnewline
48 & 0.062056 & 0.4767 & 0.317681 \tabularnewline
49 & -0.054955 & -0.4221 & 0.662763 \tabularnewline
50 & 0.021849 & 0.1678 & 0.433649 \tabularnewline
51 & -0.068871 & -0.529 & 0.700607 \tabularnewline
52 & -0.020638 & -0.1585 & 0.562707 \tabularnewline
53 & -0.076481 & -0.5875 & 0.720433 \tabularnewline
54 & 0.016702 & 0.1283 & 0.449179 \tabularnewline
55 & -0.005582 & -0.0429 & 0.517027 \tabularnewline
56 & 0.024609 & 0.189 & 0.425362 \tabularnewline
57 & 0.078011 & 0.5992 & 0.275661 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4038&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]0.060813[/C][C]0.4671[/C][C]0.321071[/C][/ROW]
[ROW][C]1[/C][C]-0.250967[/C][C]-1.9277[/C][C]0.970646[/C][/ROW]
[ROW][C]2[/C][C]-0.187022[/C][C]-1.4365[/C][C]0.921935[/C][/ROW]
[ROW][C]3[/C][C]-0.180271[/C][C]-1.3847[/C][C]0.914319[/C][/ROW]
[ROW][C]4[/C][C]0.341122[/C][C]2.6202[/C][C]0.005578[/C][/ROW]
[ROW][C]5[/C][C]-0.186882[/C][C]-1.4355[/C][C]0.921783[/C][/ROW]
[ROW][C]6[/C][C]0.017251[/C][C]0.1325[/C][C]0.447518[/C][/ROW]
[ROW][C]7[/C][C]-0.238848[/C][C]-1.8346[/C][C]0.964198[/C][/ROW]
[ROW][C]8[/C][C]0.093786[/C][C]0.7204[/C][C]0.237068[/C][/ROW]
[ROW][C]9[/C][C]0.107083[/C][C]0.8225[/C][C]0.207047[/C][/ROW]
[ROW][C]10[/C][C]0.052735[/C][C]0.4051[/C][C]0.343449[/C][/ROW]
[ROW][C]11[/C][C]0.013309[/C][C]0.1022[/C][C]0.459462[/C][/ROW]
[ROW][C]12[/C][C]-0.052581[/C][C]-0.4039[/C][C]0.65612[/C][/ROW]
[ROW][C]13[/C][C]0.037948[/C][C]0.2915[/C][C]0.385852[/C][/ROW]
[ROW][C]14[/C][C]-0.106647[/C][C]-0.8192[/C][C]0.792007[/C][/ROW]
[ROW][C]15[/C][C]-0.207254[/C][C]-1.5919[/C][C]0.94163[/C][/ROW]
[ROW][C]16[/C][C]0.021212[/C][C]0.1629[/C][C]0.435566[/C][/ROW]
[ROW][C]17[/C][C]-0.188908[/C][C]-1.451[/C][C]0.923966[/C][/ROW]
[ROW][C]18[/C][C]0.055689[/C][C]0.4278[/C][C]0.335192[/C][/ROW]
[ROW][C]19[/C][C]-0.084022[/C][C]-0.6454[/C][C]0.73941[/C][/ROW]
[ROW][C]20[/C][C]0.037079[/C][C]0.2848[/C][C]0.388394[/C][/ROW]
[ROW][C]21[/C][C]-0.118331[/C][C]-0.9089[/C][C]0.816454[/C][/ROW]
[ROW][C]22[/C][C]-0.043253[/C][C]-0.3322[/C][C]0.629554[/C][/ROW]
[ROW][C]23[/C][C]-0.023635[/C][C]-0.1815[/C][C]0.571717[/C][/ROW]
[ROW][C]24[/C][C]0.064151[/C][C]0.4928[/C][C]0.312008[/C][/ROW]
[ROW][C]25[/C][C]-0.000394[/C][C]-0.003[/C][C]0.501203[/C][/ROW]
[ROW][C]26[/C][C]-0.093664[/C][C]-0.7194[/C][C]0.762646[/C][/ROW]
[ROW][C]27[/C][C]0.018348[/C][C]0.1409[/C][C]0.4442[/C][/ROW]
[ROW][C]28[/C][C]-0.081264[/C][C]-0.6242[/C][C]0.73255[/C][/ROW]
[ROW][C]29[/C][C]0.103938[/C][C]0.7984[/C][C]0.213931[/C][/ROW]
[ROW][C]30[/C][C]-0.085072[/C][C]-0.6535[/C][C]0.741998[/C][/ROW]
[ROW][C]31[/C][C]-0.088738[/C][C]-0.6816[/C][C]0.750923[/C][/ROW]
[ROW][C]32[/C][C]-0.032449[/C][C]-0.2492[/C][C]0.597981[/C][/ROW]
[ROW][C]33[/C][C]-0.122071[/C][C]-0.9376[/C][C]0.823875[/C][/ROW]
[ROW][C]34[/C][C]-0.039884[/C][C]-0.3064[/C][C]0.619795[/C][/ROW]
[ROW][C]35[/C][C]-0.085539[/C][C]-0.657[/C][C]0.743144[/C][/ROW]
[ROW][C]36[/C][C]0.071181[/C][C]0.5467[/C][C]0.293307[/C][/ROW]
[ROW][C]37[/C][C]0.037105[/C][C]0.285[/C][C]0.388318[/C][/ROW]
[ROW][C]38[/C][C]0.013201[/C][C]0.1014[/C][C]0.459788[/C][/ROW]
[ROW][C]39[/C][C]0.003798[/C][C]0.0292[/C][C]0.488414[/C][/ROW]
[ROW][C]40[/C][C]0.058339[/C][C]0.4481[/C][C]0.327858[/C][/ROW]
[ROW][C]41[/C][C]0.225276[/C][C]1.7304[/C][C]0.044396[/C][/ROW]
[ROW][C]42[/C][C]0.028136[/C][C]0.2161[/C][C]0.41482[/C][/ROW]
[ROW][C]43[/C][C]-0.034041[/C][C]-0.2615[/C][C]0.60268[/C][/ROW]
[ROW][C]44[/C][C]-0.081614[/C][C]-0.6269[/C][C]0.733425[/C][/ROW]
[ROW][C]45[/C][C]0.069549[/C][C]0.5342[/C][C]0.297599[/C][/ROW]
[ROW][C]46[/C][C]-0.115376[/C][C]-0.8862[/C][C]0.810452[/C][/ROW]
[ROW][C]47[/C][C]-0.000771[/C][C]-0.0059[/C][C]0.502352[/C][/ROW]
[ROW][C]48[/C][C]0.062056[/C][C]0.4767[/C][C]0.317681[/C][/ROW]
[ROW][C]49[/C][C]-0.054955[/C][C]-0.4221[/C][C]0.662763[/C][/ROW]
[ROW][C]50[/C][C]0.021849[/C][C]0.1678[/C][C]0.433649[/C][/ROW]
[ROW][C]51[/C][C]-0.068871[/C][C]-0.529[/C][C]0.700607[/C][/ROW]
[ROW][C]52[/C][C]-0.020638[/C][C]-0.1585[/C][C]0.562707[/C][/ROW]
[ROW][C]53[/C][C]-0.076481[/C][C]-0.5875[/C][C]0.720433[/C][/ROW]
[ROW][C]54[/C][C]0.016702[/C][C]0.1283[/C][C]0.449179[/C][/ROW]
[ROW][C]55[/C][C]-0.005582[/C][C]-0.0429[/C][C]0.517027[/C][/ROW]
[ROW][C]56[/C][C]0.024609[/C][C]0.189[/C][C]0.425362[/C][/ROW]
[ROW][C]57[/C][C]0.078011[/C][C]0.5992[/C][C]0.275661[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4038&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4038&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
00.0608130.46710.321071
1-0.250967-1.92770.970646
2-0.187022-1.43650.921935
3-0.180271-1.38470.914319
40.3411222.62020.005578
5-0.186882-1.43550.921783
60.0172510.13250.447518
7-0.238848-1.83460.964198
80.0937860.72040.237068
90.1070830.82250.207047
100.0527350.40510.343449
110.0133090.10220.459462
12-0.052581-0.40390.65612
130.0379480.29150.385852
14-0.106647-0.81920.792007
15-0.207254-1.59190.94163
160.0212120.16290.435566
17-0.188908-1.4510.923966
180.0556890.42780.335192
19-0.084022-0.64540.73941
200.0370790.28480.388394
21-0.118331-0.90890.816454
22-0.043253-0.33220.629554
23-0.023635-0.18150.571717
240.0641510.49280.312008
25-0.000394-0.0030.501203
26-0.093664-0.71940.762646
270.0183480.14090.4442
28-0.081264-0.62420.73255
290.1039380.79840.213931
30-0.085072-0.65350.741998
31-0.088738-0.68160.750923
32-0.032449-0.24920.597981
33-0.122071-0.93760.823875
34-0.039884-0.30640.619795
35-0.085539-0.6570.743144
360.0711810.54670.293307
370.0371050.2850.388318
380.0132010.10140.459788
390.0037980.02920.488414
400.0583390.44810.327858
410.2252761.73040.044396
420.0281360.21610.41482
43-0.034041-0.26150.60268
44-0.081614-0.62690.733425
450.0695490.53420.297599
46-0.115376-0.88620.810452
47-0.000771-0.00590.502352
480.0620560.47670.317681
49-0.054955-0.42210.662763
500.0218490.16780.433649
51-0.068871-0.5290.700607
52-0.020638-0.15850.562707
53-0.076481-0.58750.720433
540.0167020.12830.449179
55-0.005582-0.04290.517027
560.0246090.1890.425362
570.0780110.59920.275661
58NANANA
59NANANA



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')